<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers" type="1900">
<version>
<product>EOP C01 1900-NOW</product>
<date>2025-03-01</date>
<volume>---</volume>
<number>---</number>
</version>
<metaFileName/>
<headerLine>
<headerLineDate>
<sYear>Year</sYear>
<sMonth>Month</sMonth>
<sDay>Day</sDay>
<sTime>Time</sTime>
<sMJD>MJD</sMJD>
</headerLineDate>
<headerLineEOP>
<product>
<sX>X</sX>
<ssigma_X>sigma_X</ssigma_X>
<sY>Y</sY>
<ssigma_Y>sigma_Y</ssigma_Y>
<sUT1-UTC>UT1-UTC</sUT1-UTC>
<ssigma_UT1-UTC>sigma_UT1-UTC</ssigma_UT1-UTC>
<sdPsi>dPsi</sdPsi>
<ssigma_dPsi>sigma_dPsi</ssigma_dPsi>
<sdEpsilon>dEpsilon</sdEpsilon>
<ssigma_dEpsilon>sigma_dEpsilon</ssigma_dEpsilon>
</product>
</headerLineEOP>
<headerLineUnits>
<product>
<X>arcsec</X>
<sigma_X>arcsec</sigma_X>
<Y>arcsec</Y>
<sigma_Y>arcsec</sigma_Y>
<UT1-UTC>sec</UT1-UTC>
<sigma_UT1-UTC>sec</sigma_UT1-UTC>
<dPsi>arcsec</dPsi>
<sigma_dPsi>arcsec</sigma_dPsi>
<dEpsilon>arcsec</dEpsilon>
<sigma_dEpsilon>arcsec</sigma_dEpsilon>
</product>
</headerLineUnits>
</headerLine>
<data product="EOP C01 1900-NOW">
<timeSeries>
<time>
<dateYear>1899</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>15019.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008371</X>
<sigma_X>0.030854</sigma_X>
<Y>0.074493</Y>
<sigma_Y>0.023039</sigma_Y>
</pole>
<nutation>
<dPsi>0.264930</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020524</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>15037.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.036968</X>
<sigma_X>0.028118</sigma_X>
<Y>0.023075</Y>
<sigma_Y>0.020417</sigma_Y>
</pole>
<nutation>
<dPsi>0.265620</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020773</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>15056.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.048624</X>
<sigma_X>0.030581</sigma_X>
<Y>0.012215</Y>
<sigma_Y>0.023908</sigma_Y>
</pole>
<nutation>
<dPsi>0.264500</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020135</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>15074.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.030063</X>
<sigma_X>0.021688</sigma_X>
<Y>0.001788</Y>
<sigma_Y>0.021696</sigma_Y>
</pole>
<nutation>
<dPsi>0.264096</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018614</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>15092.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.028216</X>
<sigma_X>0.022861</sigma_X>
<Y>-0.001644</Y>
<sigma_Y>0.021845</sigma_Y>
</pole>
<nutation>
<dPsi>0.265617</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017759</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>15110.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.002515</X>
<sigma_X>0.028020</sigma_X>
<Y>-0.018526</Y>
<sigma_Y>0.023079</sigma_Y>
</pole>
<nutation>
<dPsi>0.265693</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016597</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>15129.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007875</X>
<sigma_X>0.019954</sigma_X>
<Y>-0.026503</Y>
<sigma_Y>0.020743</sigma_Y>
</pole>
<nutation>
<dPsi>0.266722</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015331</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>15147.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.058475</X>
<sigma_X>0.021346</sigma_X>
<Y>-0.040656</Y>
<sigma_Y>0.020619</sigma_Y>
</pole>
<nutation>
<dPsi>0.267158</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015285</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>15165.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.064124</X>
<sigma_X>0.020574</sigma_X>
<Y>-0.058528</Y>
<sigma_Y>0.018253</sigma_Y>
</pole>
<nutation>
<dPsi>0.265653</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015787</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>15183.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.072260</X>
<sigma_X>0.018511</sigma_X>
<Y>-0.078094</Y>
<sigma_Y>0.019854</sigma_Y>
</pole>
<nutation>
<dPsi>0.263686</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015619</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>15202.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.034591</X>
<sigma_X>0.019192</sigma_X>
<Y>-0.035021</Y>
<sigma_Y>0.017403</sigma_Y>
</pole>
<nutation>
<dPsi>0.261244</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016044</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>15220.387</MJD>
</time>
<dataEOP>
<pole>
<X>-0.038478</X>
<sigma_X>0.016898</sigma_X>
<Y>-0.048370</Y>
<sigma_Y>0.019411</sigma_Y>
</pole>
<nutation>
<dPsi>0.257711</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016258</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>15238.650</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062502</X>
<sigma_X>0.021674</sigma_X>
<Y>-0.008421</Y>
<sigma_Y>0.019696</sigma_Y>
</pole>
<nutation>
<dPsi>0.254759</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016060</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>15256.912</MJD>
</time>
<dataEOP>
<pole>
<X>-0.081652</X>
<sigma_X>0.022413</sigma_X>
<Y>-0.026010</Y>
<sigma_Y>0.021047</sigma_Y>
</pole>
<nutation>
<dPsi>0.254131</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016825</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>15275.175</MJD>
</time>
<dataEOP>
<pole>
<X>-0.080301</X>
<sigma_X>0.019375</sigma_X>
<Y>0.003021</Y>
<sigma_Y>0.019941</sigma_Y>
</pole>
<nutation>
<dPsi>0.252905</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016454</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>15293.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.072788</X>
<sigma_X>0.020453</sigma_X>
<Y>0.052605</Y>
<sigma_Y>0.020011</sigma_Y>
</pole>
<nutation>
<dPsi>0.253766</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016150</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>15311.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.083561</X>
<sigma_X>0.021644</sigma_X>
<Y>0.052065</Y>
<sigma_Y>0.018456</sigma_Y>
</pole>
<nutation>
<dPsi>0.256369</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017218</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>15329.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.091357</X>
<sigma_X>0.028258</sigma_X>
<Y>0.106129</Y>
<sigma_Y>0.022970</sigma_Y>
</pole>
<nutation>
<dPsi>0.258155</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017609</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>15348.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.072950</X>
<sigma_X>0.026386</sigma_X>
<Y>0.122019</Y>
<sigma_Y>0.023366</sigma_Y>
</pole>
<nutation>
<dPsi>0.259675</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018439</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>15366.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.003258</X>
<sigma_X>0.022087</sigma_X>
<Y>0.110764</Y>
<sigma_Y>0.022654</sigma_Y>
</pole>
<nutation>
<dPsi>0.261616</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018885</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1900</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>15384.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008987</X>
<sigma_X>0.025491</sigma_X>
<Y>0.106006</Y>
<sigma_Y>0.024579</sigma_Y>
</pole>
<nutation>
<dPsi>0.260860</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020044</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>15403.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.002093</X>
<sigma_X>0.022841</sigma_X>
<Y>0.132392</Y>
<sigma_Y>0.025586</sigma_Y>
</pole>
<nutation>
<dPsi>0.261402</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019038</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>15421.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.020831</X>
<sigma_X>0.028307</sigma_X>
<Y>0.092609</Y>
<sigma_Y>0.024087</sigma_Y>
</pole>
<nutation>
<dPsi>0.261280</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019025</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>15439.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.018404</X>
<sigma_X>0.027951</sigma_X>
<Y>0.103685</Y>
<sigma_Y>0.021512</sigma_Y>
</pole>
<nutation>
<dPsi>0.260698</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017793</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>15457.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.056917</X>
<sigma_X>0.023553</sigma_X>
<Y>0.110374</Y>
<sigma_Y>0.021224</sigma_Y>
</pole>
<nutation>
<dPsi>0.261268</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016178</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>15476.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.043548</X>
<sigma_X>0.022002</sigma_X>
<Y>0.065068</Y>
<sigma_Y>0.021957</sigma_Y>
</pole>
<nutation>
<dPsi>0.262370</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015584</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>15494.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.061391</X>
<sigma_X>0.018372</sigma_X>
<Y>0.062931</Y>
<sigma_Y>0.019516</sigma_Y>
</pole>
<nutation>
<dPsi>0.262339</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014761</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>15512.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.102802</X>
<sigma_X>0.019187</sigma_X>
<Y>0.037856</Y>
<sigma_Y>0.019404</sigma_Y>
</pole>
<nutation>
<dPsi>0.262209</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013845</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>15530.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.082095</X>
<sigma_X>0.018702</sigma_X>
<Y>-0.035275</Y>
<sigma_Y>0.021216</sigma_Y>
</pole>
<nutation>
<dPsi>0.261544</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014545</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>15549.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.122453</X>
<sigma_X>0.017650</sigma_X>
<Y>-0.030941</Y>
<sigma_Y>0.017567</sigma_Y>
</pole>
<nutation>
<dPsi>0.258834</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015214</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>15567.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.138013</X>
<sigma_X>0.019362</sigma_X>
<Y>-0.028119</Y>
<sigma_Y>0.019465</sigma_Y>
</pole>
<nutation>
<dPsi>0.256237</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014970</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>15585.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.092857</X>
<sigma_X>0.020716</sigma_X>
<Y>-0.106349</Y>
<sigma_Y>0.018839</sigma_Y>
</pole>
<nutation>
<dPsi>0.253188</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015189</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>15603.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.069661</X>
<sigma_X>0.018276</sigma_X>
<Y>-0.154103</Y>
<sigma_Y>0.017688</sigma_Y>
</pole>
<nutation>
<dPsi>0.250787</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015306</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>15622.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.090689</X>
<sigma_X>0.016237</sigma_X>
<Y>-0.123298</Y>
<sigma_Y>0.016973</sigma_Y>
</pole>
<nutation>
<dPsi>0.249005</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015138</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>15640.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.057057</X>
<sigma_X>0.017379</sigma_X>
<Y>-0.113077</Y>
<sigma_Y>0.017000</sigma_Y>
</pole>
<nutation>
<dPsi>0.248895</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016009</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>15658.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.004778</X>
<sigma_X>0.021673</sigma_X>
<Y>-0.085634</Y>
<sigma_Y>0.018247</sigma_Y>
</pole>
<nutation>
<dPsi>0.249136</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015852</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>15676.950</MJD>
</time>
<dataEOP>
<pole>
<X>-0.045601</X>
<sigma_X>0.022499</sigma_X>
<Y>-0.083715</Y>
<sigma_Y>0.018287</sigma_Y>
</pole>
<nutation>
<dPsi>0.251047</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016058</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>15695.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.069179</X>
<sigma_X>0.022235</sigma_X>
<Y>-0.071895</Y>
<sigma_Y>0.019941</sigma_Y>
</pole>
<nutation>
<dPsi>0.253125</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017161</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>15713.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.058870</X>
<sigma_X>0.026223</sigma_X>
<Y>-0.026219</Y>
<sigma_Y>0.021415</sigma_Y>
</pole>
<nutation>
<dPsi>0.255099</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017867</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1901</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>15731.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.118197</X>
<sigma_X>0.022402</sigma_X>
<Y>0.004212</Y>
<sigma_Y>0.020281</sigma_Y>
</pole>
<nutation>
<dPsi>0.255839</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018179</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>15750.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.136067</X>
<sigma_X>0.024327</sigma_X>
<Y>0.029230</Y>
<sigma_Y>0.022264</sigma_Y>
</pole>
<nutation>
<dPsi>0.256339</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018568</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>15768.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.139199</X>
<sigma_X>0.022638</sigma_X>
<Y>0.065130</Y>
<sigma_Y>0.025464</sigma_Y>
</pole>
<nutation>
<dPsi>0.255647</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019035</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>15786.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.130704</X>
<sigma_X>0.027279</sigma_X>
<Y>0.128536</Y>
<sigma_Y>0.023979</sigma_Y>
</pole>
<nutation>
<dPsi>0.255928</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017626</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>15804.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.128075</X>
<sigma_X>0.028356</sigma_X>
<Y>0.182820</Y>
<sigma_Y>0.026518</sigma_Y>
</pole>
<nutation>
<dPsi>0.255896</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016895</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>15823.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.079913</X>
<sigma_X>0.018752</sigma_X>
<Y>0.204050</Y>
<sigma_Y>0.020443</sigma_Y>
</pole>
<nutation>
<dPsi>0.256403</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015729</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>15841.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.067521</X>
<sigma_X>0.021569</sigma_X>
<Y>0.222229</Y>
<sigma_Y>0.023076</sigma_Y>
</pole>
<nutation>
<dPsi>0.257266</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014722</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>15859.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.014018</X>
<sigma_X>0.017193</sigma_X>
<Y>0.203426</Y>
<sigma_Y>0.017865</sigma_Y>
</pole>
<nutation>
<dPsi>0.257876</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014304</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>15877.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.034232</X>
<sigma_X>0.018375</sigma_X>
<Y>0.232766</Y>
<sigma_Y>0.018376</sigma_Y>
</pole>
<nutation>
<dPsi>0.257131</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013848</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>15896.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.093363</X>
<sigma_X>0.016867</sigma_X>
<Y>0.205098</Y>
<sigma_Y>0.018735</sigma_Y>
</pole>
<nutation>
<dPsi>0.255885</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013502</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>15914.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.150636</X>
<sigma_X>0.017298</sigma_X>
<Y>0.166555</Y>
<sigma_Y>0.018511</sigma_Y>
</pole>
<nutation>
<dPsi>0.253883</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014329</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>15932.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.192453</X>
<sigma_X>0.017216</sigma_X>
<Y>0.126471</Y>
<sigma_Y>0.018424</sigma_Y>
</pole>
<nutation>
<dPsi>0.250851</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014713</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>15950.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.205536</X>
<sigma_X>0.018393</sigma_X>
<Y>0.077266</Y>
<sigma_Y>0.018482</sigma_Y>
</pole>
<nutation>
<dPsi>0.248240</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014710</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>15969.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.199871</X>
<sigma_X>0.019686</sigma_X>
<Y>0.028344</Y>
<sigma_Y>0.019203</sigma_Y>
</pole>
<nutation>
<dPsi>0.245298</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014710</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>15987.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.171505</X>
<sigma_X>0.019639</sigma_X>
<Y>-0.005917</Y>
<sigma_Y>0.016473</sigma_Y>
</pole>
<nutation>
<dPsi>0.244078</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014803</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>16005.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.157286</X>
<sigma_X>0.018020</sigma_X>
<Y>-0.046212</Y>
<sigma_Y>0.019237</sigma_Y>
</pole>
<nutation>
<dPsi>0.243503</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014733</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>16023.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.085590</X>
<sigma_X>0.020991</sigma_X>
<Y>-0.091046</Y>
<sigma_Y>0.022619</sigma_Y>
</pole>
<nutation>
<dPsi>0.244088</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015543</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>16042.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.034258</X>
<sigma_X>0.018245</sigma_X>
<Y>-0.108950</Y>
<sigma_Y>0.016403</sigma_Y>
</pole>
<nutation>
<dPsi>0.245612</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015760</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>16060.462</MJD>
</time>
<dataEOP>
<pole>
<X>-0.023216</X>
<sigma_X>0.019349</sigma_X>
<Y>-0.094547</Y>
<sigma_Y>0.020117</sigma_Y>
</pole>
<nutation>
<dPsi>0.248134</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016478</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>16078.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.068776</X>
<sigma_X>0.023285</sigma_X>
<Y>-0.091337</Y>
<sigma_Y>0.020619</sigma_Y>
</pole>
<nutation>
<dPsi>0.248844</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017394</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1902</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>16096.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.132435</X>
<sigma_X>0.023712</sigma_X>
<Y>-0.035288</Y>
<sigma_Y>0.023616</sigma_Y>
</pole>
<nutation>
<dPsi>0.250200</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018154</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>16115.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.185204</X>
<sigma_X>0.023739</sigma_X>
<Y>0.006089</Y>
<sigma_Y>0.023274</sigma_Y>
</pole>
<nutation>
<dPsi>0.250340</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018100</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>16133.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.222621</X>
<sigma_X>0.024841</sigma_X>
<Y>0.044145</Y>
<sigma_Y>0.022839</sigma_Y>
</pole>
<nutation>
<dPsi>0.249936</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018224</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>16151.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.234212</X>
<sigma_X>0.019916</sigma_X>
<Y>0.065879</Y>
<sigma_Y>0.021461</sigma_Y>
</pole>
<nutation>
<dPsi>0.249733</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017623</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>16170.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.212110</X>
<sigma_X>0.022849</sigma_X>
<Y>0.129966</Y>
<sigma_Y>0.023477</sigma_Y>
</pole>
<nutation>
<dPsi>0.250178</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016414</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>16188.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.175189</X>
<sigma_X>0.023818</sigma_X>
<Y>0.192063</Y>
<sigma_Y>0.022818</sigma_Y>
</pole>
<nutation>
<dPsi>0.250687</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015273</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>16206.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.171289</X>
<sigma_X>0.020150</sigma_X>
<Y>0.183907</Y>
<sigma_Y>0.020686</sigma_Y>
</pole>
<nutation>
<dPsi>0.251303</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014422</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>16224.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.137996</X>
<sigma_X>0.021338</sigma_X>
<Y>0.226359</Y>
<sigma_Y>0.018844</sigma_Y>
</pole>
<nutation>
<dPsi>0.251880</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013748</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>16243.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.049079</X>
<sigma_X>0.019380</sigma_X>
<Y>0.282007</Y>
<sigma_Y>0.017311</sigma_Y>
</pole>
<nutation>
<dPsi>0.251655</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013940</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>16261.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.001292</X>
<sigma_X>0.019150</sigma_X>
<Y>0.249507</Y>
<sigma_Y>0.021018</sigma_Y>
</pole>
<nutation>
<dPsi>0.250114</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013573</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>16279.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.052750</X>
<sigma_X>0.018422</sigma_X>
<Y>0.270665</Y>
<sigma_Y>0.019675</sigma_Y>
</pole>
<nutation>
<dPsi>0.248069</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013785</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>16297.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.081324</X>
<sigma_X>0.016139</sigma_X>
<Y>0.254440</Y>
<sigma_Y>0.017308</sigma_Y>
</pole>
<nutation>
<dPsi>0.244856</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014410</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>16316.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.148571</X>
<sigma_X>0.017922</sigma_X>
<Y>0.236582</Y>
<sigma_Y>0.018799</sigma_Y>
</pole>
<nutation>
<dPsi>0.241534</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014467</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>16334.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.183177</X>
<sigma_X>0.015992</sigma_X>
<Y>0.188956</Y>
<sigma_Y>0.018211</sigma_Y>
</pole>
<nutation>
<dPsi>0.239591</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014642</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>16352.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.219351</X>
<sigma_X>0.015087</sigma_X>
<Y>0.104077</Y>
<sigma_Y>0.017662</sigma_Y>
</pole>
<nutation>
<dPsi>0.237146</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014854</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>16370.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.213317</X>
<sigma_X>0.020297</sigma_X>
<Y>0.081467</Y>
<sigma_Y>0.021653</sigma_Y>
</pole>
<nutation>
<dPsi>0.236906</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014642</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>16389.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.185004</X>
<sigma_X>0.018182</sigma_X>
<Y>-0.008857</Y>
<sigma_Y>0.021908</sigma_Y>
</pole>
<nutation>
<dPsi>0.238261</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014763</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>16407.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.148815</X>
<sigma_X>0.021926</sigma_X>
<Y>-0.061871</Y>
<sigma_Y>0.017130</sigma_Y>
</pole>
<nutation>
<dPsi>0.239356</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015993</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>16425.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.127511</X>
<sigma_X>0.024644</sigma_X>
<Y>-0.108023</Y>
<sigma_Y>0.022884</sigma_Y>
</pole>
<nutation>
<dPsi>0.241287</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016540</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>16443.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.089283</X>
<sigma_X>0.027675</sigma_X>
<Y>-0.098458</Y>
<sigma_Y>0.021126</sigma_Y>
</pole>
<nutation>
<dPsi>0.243467</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017307</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1903</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>16462.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.011731</X>
<sigma_X>0.029404</sigma_X>
<Y>-0.093759</Y>
<sigma_Y>0.023479</sigma_Y>
</pole>
<nutation>
<dPsi>0.243380</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018197</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>16480.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.076545</X>
<sigma_X>0.029464</sigma_X>
<Y>-0.075321</Y>
<sigma_Y>0.026064</sigma_Y>
</pole>
<nutation>
<dPsi>0.243821</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018652</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>16498.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.134490</X>
<sigma_X>0.026089</sigma_X>
<Y>-0.079089</Y>
<sigma_Y>0.023427</sigma_Y>
</pole>
<nutation>
<dPsi>0.244006</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018345</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>16517.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.172241</X>
<sigma_X>0.024185</sigma_X>
<Y>-0.026523</Y>
<sigma_Y>0.021364</sigma_Y>
</pole>
<nutation>
<dPsi>0.243536</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018187</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>16535.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.193172</X>
<sigma_X>0.031524</sigma_X>
<Y>0.021542</Y>
<sigma_Y>0.032847</sigma_Y>
</pole>
<nutation>
<dPsi>0.243812</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016893</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>16553.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.219827</X>
<sigma_X>0.022239</sigma_X>
<Y>0.005878</Y>
<sigma_Y>0.028888</sigma_Y>
</pole>
<nutation>
<dPsi>0.244539</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015876</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>16571.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.202026</X>
<sigma_X>0.023391</sigma_X>
<Y>0.077002</Y>
<sigma_Y>0.021592</sigma_Y>
</pole>
<nutation>
<dPsi>0.244946</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014949</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>16590.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.184640</X>
<sigma_X>0.031985</sigma_X>
<Y>0.127934</Y>
<sigma_Y>0.024815</sigma_Y>
</pole>
<nutation>
<dPsi>0.245073</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014178</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>16608.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.159034</X>
<sigma_X>0.019057</sigma_X>
<Y>0.153531</Y>
<sigma_Y>0.021061</sigma_Y>
</pole>
<nutation>
<dPsi>0.245155</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013770</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>16626.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.120109</X>
<sigma_X>0.022929</sigma_X>
<Y>0.233677</Y>
<sigma_Y>0.021685</sigma_Y>
</pole>
<nutation>
<dPsi>0.244013</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014755</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>16644.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.057922</X>
<sigma_X>0.017002</sigma_X>
<Y>0.243992</Y>
<sigma_Y>0.017525</sigma_Y>
</pole>
<nutation>
<dPsi>0.241554</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014413</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>16663.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.000670</X>
<sigma_X>0.015362</sigma_X>
<Y>0.249472</Y>
<sigma_Y>0.016865</sigma_Y>
</pole>
<nutation>
<dPsi>0.238924</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014654</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>16681.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.064126</X>
<sigma_X>0.017529</sigma_X>
<Y>0.250055</Y>
<sigma_Y>0.019406</sigma_Y>
</pole>
<nutation>
<dPsi>0.235455</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015007</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>16699.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.100763</X>
<sigma_X>0.013997</sigma_X>
<Y>0.206088</Y>
<sigma_Y>0.016495</sigma_Y>
</pole>
<nutation>
<dPsi>0.232227</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015023</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>16717.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.123783</X>
<sigma_X>0.014811</sigma_X>
<Y>0.177184</Y>
<sigma_Y>0.014584</sigma_Y>
</pole>
<nutation>
<dPsi>0.231629</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015068</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>16736.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.156435</X>
<sigma_X>0.016343</sigma_X>
<Y>0.139207</Y>
<sigma_Y>0.016714</sigma_Y>
</pole>
<nutation>
<dPsi>0.230214</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015713</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>16754.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.167455</X>
<sigma_X>0.020980</sigma_X>
<Y>0.118576</Y>
<sigma_Y>0.021579</sigma_Y>
</pole>
<nutation>
<dPsi>0.231146</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015418</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>16772.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.155264</X>
<sigma_X>0.019603</sigma_X>
<Y>0.071102</Y>
<sigma_Y>0.018014</sigma_Y>
</pole>
<nutation>
<dPsi>0.233364</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015992</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>16790.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.148938</X>
<sigma_X>0.021607</sigma_X>
<Y>0.033454</Y>
<sigma_Y>0.018514</sigma_Y>
</pole>
<nutation>
<dPsi>0.234806</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017457</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>16809.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.107787</X>
<sigma_X>0.028146</sigma_X>
<Y>0.024384</Y>
<sigma_Y>0.025403</sigma_Y>
</pole>
<nutation>
<dPsi>0.236326</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018073</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>16827.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.118683</X>
<sigma_X>0.026885</sigma_X>
<Y>-0.006875</Y>
<sigma_Y>0.026263</sigma_Y>
</pole>
<nutation>
<dPsi>0.237450</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018605</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1904</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>16845.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.064367</X>
<sigma_X>0.022413</sigma_X>
<Y>-0.053588</Y>
<sigma_Y>0.025720</sigma_Y>
</pole>
<nutation>
<dPsi>0.237418</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019336</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>16864.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.009197</X>
<sigma_X>0.024034</sigma_X>
<Y>-0.103047</Y>
<sigma_Y>0.026638</sigma_Y>
</pole>
<nutation>
<dPsi>0.237127</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019297</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>16882.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.031126</X>
<sigma_X>0.026423</sigma_X>
<Y>-0.117574</Y>
<sigma_Y>0.022505</sigma_Y>
</pole>
<nutation>
<dPsi>0.237499</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018419</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>16900.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.080038</X>
<sigma_X>0.027294</sigma_X>
<Y>-0.055244</Y>
<sigma_Y>0.023467</sigma_Y>
</pole>
<nutation>
<dPsi>0.237449</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017756</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>16918.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.170839</X>
<sigma_X>0.023008</sigma_X>
<Y>-0.070751</Y>
<sigma_Y>0.022129</sigma_Y>
</pole>
<nutation>
<dPsi>0.238337</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016580</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>16937.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.180583</X>
<sigma_X>0.018236</sigma_X>
<Y>-0.062140</Y>
<sigma_Y>0.018214</sigma_Y>
</pole>
<nutation>
<dPsi>0.239113</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015690</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>16955.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.171602</X>
<sigma_X>0.023231</sigma_X>
<Y>-0.023495</Y>
<sigma_Y>0.023527</sigma_Y>
</pole>
<nutation>
<dPsi>0.238978</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015184</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>16973.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.195996</X>
<sigma_X>0.019238</sigma_X>
<Y>0.044270</Y>
<sigma_Y>0.019692</sigma_Y>
</pole>
<nutation>
<dPsi>0.238697</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014534</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>16991.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.159994</X>
<sigma_X>0.019621</sigma_X>
<Y>0.077369</Y>
<sigma_Y>0.020542</sigma_Y>
</pole>
<nutation>
<dPsi>0.237570</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014650</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>17010.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.152893</X>
<sigma_X>0.020041</sigma_X>
<Y>0.123601</Y>
<sigma_Y>0.021428</sigma_Y>
</pole>
<nutation>
<dPsi>0.235537</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015675</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>17028.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.110411</X>
<sigma_X>0.018161</sigma_X>
<Y>0.156570</Y>
<sigma_Y>0.021271</sigma_Y>
</pole>
<nutation>
<dPsi>0.232664</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015305</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>17046.637</MJD>
</time>
<dataEOP>
<pole>
<X>-0.056563</X>
<sigma_X>0.017772</sigma_X>
<Y>0.176978</Y>
<sigma_Y>0.018964</sigma_Y>
</pole>
<nutation>
<dPsi>0.230244</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015220</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>17064.900</MJD>
</time>
<dataEOP>
<pole>
<X>-0.004122</X>
<sigma_X>0.018402</sigma_X>
<Y>0.204657</Y>
<sigma_Y>0.019328</sigma_Y>
</pole>
<nutation>
<dPsi>0.227508</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015461</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>17083.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.038208</X>
<sigma_X>0.017987</sigma_X>
<Y>0.194053</Y>
<sigma_Y>0.018142</sigma_Y>
</pole>
<nutation>
<dPsi>0.225441</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015593</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>17101.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.075162</X>
<sigma_X>0.017610</sigma_X>
<Y>0.177148</Y>
<sigma_Y>0.018663</sigma_Y>
</pole>
<nutation>
<dPsi>0.225980</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015683</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>17119.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.089666</X>
<sigma_X>0.022706</sigma_X>
<Y>0.174351</Y>
<sigma_Y>0.017069</sigma_Y>
</pole>
<nutation>
<dPsi>0.226112</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016374</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>17137.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.108807</X>
<sigma_X>0.025743</sigma_X>
<Y>0.144293</Y>
<sigma_Y>0.025075</sigma_Y>
</pole>
<nutation>
<dPsi>0.227904</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016432</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>17156.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.149473</X>
<sigma_X>0.023281</sigma_X>
<Y>0.120569</Y>
<sigma_Y>0.020277</sigma_Y>
</pole>
<nutation>
<dPsi>0.229854</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017517</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>17174.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.142789</X>
<sigma_X>0.024965</sigma_X>
<Y>0.083225</Y>
<sigma_Y>0.020218</sigma_Y>
</pole>
<nutation>
<dPsi>0.231289</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018771</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1905</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>17192.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.133353</X>
<sigma_X>0.024034</sigma_X>
<Y>0.061642</Y>
<sigma_Y>0.025295</sigma_Y>
</pole>
<nutation>
<dPsi>0.232440</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019292</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>17211.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.098690</X>
<sigma_X>0.023869</sigma_X>
<Y>0.013487</Y>
<sigma_Y>0.019703</sigma_Y>
</pole>
<nutation>
<dPsi>0.232629</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019690</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>17229.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.029992</X>
<sigma_X>0.021662</sigma_X>
<Y>-0.031342</Y>
<sigma_Y>0.020343</sigma_Y>
</pole>
<nutation>
<dPsi>0.232447</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019879</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>17247.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.022495</X>
<sigma_X>0.024578</sigma_X>
<Y>-0.051180</Y>
<sigma_Y>0.015711</sigma_Y>
</pole>
<nutation>
<dPsi>0.232373</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019158</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>17265.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.048575</X>
<sigma_X>0.018039</sigma_X>
<Y>-0.033052</Y>
<sigma_Y>0.019088</sigma_Y>
</pole>
<nutation>
<dPsi>0.233052</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017882</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>17284.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.083752</X>
<sigma_X>0.021684</sigma_X>
<Y>-0.021442</Y>
<sigma_Y>0.021079</sigma_Y>
</pole>
<nutation>
<dPsi>0.233205</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017010</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>17302.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.100181</X>
<sigma_X>0.021438</sigma_X>
<Y>-0.019650</Y>
<sigma_Y>0.019110</sigma_Y>
</pole>
<nutation>
<dPsi>0.234417</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016310</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>17320.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.116469</X>
<sigma_X>0.016746</sigma_X>
<Y>-0.026489</Y>
<sigma_Y>0.016042</sigma_Y>
</pole>
<nutation>
<dPsi>0.234784</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015875</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>17338.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.135285</X>
<sigma_X>0.020514</sigma_X>
<Y>0.005501</Y>
<sigma_Y>0.017998</sigma_Y>
</pole>
<nutation>
<dPsi>0.233651</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015751</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>17357.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.152399</X>
<sigma_X>0.015688</sigma_X>
<Y>0.033506</Y>
<sigma_Y>0.016189</sigma_Y>
</pole>
<nutation>
<dPsi>0.233001</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015372</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>17375.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.141172</X>
<sigma_X>0.014321</sigma_X>
<Y>0.081081</Y>
<sigma_Y>0.015549</sigma_Y>
</pole>
<nutation>
<dPsi>0.230788</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015951</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>17393.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.120152</X>
<sigma_X>0.017454</sigma_X>
<Y>0.105351</Y>
<sigma_Y>0.016689</sigma_Y>
</pole>
<nutation>
<dPsi>0.227622</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016511</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>17411.887</MJD>
</time>
<dataEOP>
<pole>
<X>-0.106461</X>
<sigma_X>0.014689</sigma_X>
<Y>0.115377</Y>
<sigma_Y>0.015381</sigma_Y>
</pole>
<nutation>
<dPsi>0.225339</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016086</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>17430.150</MJD>
</time>
<dataEOP>
<pole>
<X>-0.096292</X>
<sigma_X>0.013220</sigma_X>
<Y>0.130484</Y>
<sigma_Y>0.016955</sigma_Y>
</pole>
<nutation>
<dPsi>0.223354</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016098</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>17448.412</MJD>
</time>
<dataEOP>
<pole>
<X>-0.057925</X>
<sigma_X>0.014698</sigma_X>
<Y>0.114902</Y>
<sigma_Y>0.015206</sigma_Y>
</pole>
<nutation>
<dPsi>0.221567</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016356</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>17466.675</MJD>
</time>
<dataEOP>
<pole>
<X>-0.034605</X>
<sigma_X>0.015442</sigma_X>
<Y>0.135206</Y>
<sigma_Y>0.014290</sigma_Y>
</pole>
<nutation>
<dPsi>0.221377</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016397</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>17484.937</MJD>
</time>
<dataEOP>
<pole>
<X>-0.030731</X>
<sigma_X>0.017746</sigma_X>
<Y>0.140297</Y>
<sigma_Y>0.019014</sigma_Y>
</pole>
<nutation>
<dPsi>0.222424</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017069</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>17503.200</MJD>
</time>
<dataEOP>
<pole>
<X>-0.026631</X>
<sigma_X>0.017641</sigma_X>
<Y>0.123462</Y>
<sigma_Y>0.016316</sigma_Y>
</pole>
<nutation>
<dPsi>0.224033</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017671</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>17521.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.029064</X>
<sigma_X>0.025959</sigma_X>
<Y>0.189366</Y>
<sigma_Y>0.019879</sigma_Y>
</pole>
<nutation>
<dPsi>0.226124</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018312</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>17539.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000064</X>
<sigma_X>0.019464</sigma_X>
<Y>0.169106</Y>
<sigma_Y>0.016962</sigma_Y>
</pole>
<nutation>
<dPsi>0.227438</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019516</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1906</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>17557.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.007488</X>
<sigma_X>0.021172</sigma_X>
<Y>0.178268</Y>
<sigma_Y>0.022810</sigma_Y>
</pole>
<nutation>
<dPsi>0.228109</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020410</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>17576.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.028807</X>
<sigma_X>0.026174</sigma_X>
<Y>0.195502</Y>
<sigma_Y>0.021836</sigma_Y>
</pole>
<nutation>
<dPsi>0.229504</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020479</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>17594.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.030693</X>
<sigma_X>0.023343</sigma_X>
<Y>0.122682</Y>
<sigma_Y>0.025644</sigma_Y>
</pole>
<nutation>
<dPsi>0.229415</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020675</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>17612.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.005782</X>
<sigma_X>0.022990</sigma_X>
<Y>0.059118</Y>
<sigma_Y>0.025099</sigma_Y>
</pole>
<nutation>
<dPsi>0.229316</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020117</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>17631.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.011287</X>
<sigma_X>0.017753</sigma_X>
<Y>0.085877</Y>
<sigma_Y>0.018131</sigma_Y>
</pole>
<nutation>
<dPsi>0.230271</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018909</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>17649.300</MJD>
</time>
<dataEOP>
<pole>
<X>0.025828</X>
<sigma_X>0.019140</sigma_X>
<Y>0.045532</Y>
<sigma_Y>0.018840</sigma_Y>
</pole>
<nutation>
<dPsi>0.230832</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017842</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>17667.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.010195</X>
<sigma_X>0.017943</sigma_X>
<Y>0.033974</Y>
<sigma_Y>0.018047</sigma_Y>
</pole>
<nutation>
<dPsi>0.230900</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017094</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>17685.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.037460</X>
<sigma_X>0.017414</sigma_X>
<Y>-0.010206</Y>
<sigma_Y>0.018282</sigma_Y>
</pole>
<nutation>
<dPsi>0.232205</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016631</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>17704.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.004536</X>
<sigma_X>0.016075</sigma_X>
<Y>-0.015775</Y>
<sigma_Y>0.017200</sigma_Y>
</pole>
<nutation>
<dPsi>0.232001</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016617</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>17722.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.018271</X>
<sigma_X>0.016877</sigma_X>
<Y>-0.015181</Y>
<sigma_Y>0.016663</sigma_Y>
</pole>
<nutation>
<dPsi>0.229964</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016777</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>17740.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007148</X>
<sigma_X>0.015864</sigma_X>
<Y>-0.040954</Y>
<sigma_Y>0.017096</sigma_Y>
</pole>
<nutation>
<dPsi>0.228902</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016608</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>17758.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.041836</X>
<sigma_X>0.014405</sigma_X>
<Y>-0.054272</Y>
<sigma_Y>0.013671</sigma_Y>
</pole>
<nutation>
<dPsi>0.225898</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017169</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>17777.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.039605</X>
<sigma_X>0.013423</sigma_X>
<Y>-0.066693</Y>
<sigma_Y>0.013738</sigma_Y>
</pole>
<nutation>
<dPsi>0.222122</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017345</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>17795.400</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062700</X>
<sigma_X>0.013803</sigma_X>
<Y>-0.045601</Y>
<sigma_Y>0.013719</sigma_Y>
</pole>
<nutation>
<dPsi>0.220831</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016910</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>17813.662</MJD>
</time>
<dataEOP>
<pole>
<X>-0.084810</X>
<sigma_X>0.012081</sigma_X>
<Y>-0.037978</Y>
<sigma_Y>0.012721</sigma_Y>
</pole>
<nutation>
<dPsi>0.219072</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017344</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>17831.925</MJD>
</time>
<dataEOP>
<pole>
<X>-0.117704</X>
<sigma_X>0.012937</sigma_X>
<Y>-0.015020</Y>
<sigma_Y>0.013833</sigma_Y>
</pole>
<nutation>
<dPsi>0.218967</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017519</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>17850.187</MJD>
</time>
<dataEOP>
<pole>
<X>-0.156775</X>
<sigma_X>0.015288</sigma_X>
<Y>0.021300</Y>
<sigma_Y>0.013669</sigma_Y>
</pole>
<nutation>
<dPsi>0.220396</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017841</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>17868.450</MJD>
</time>
<dataEOP>
<pole>
<X>-0.189019</X>
<sigma_X>0.018051</sigma_X>
<Y>0.063253</Y>
<sigma_Y>0.014976</sigma_Y>
</pole>
<nutation>
<dPsi>0.221393</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019018</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>17886.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.160472</X>
<sigma_X>0.019449</sigma_X>
<Y>0.122348</Y>
<sigma_Y>0.020614</sigma_Y>
</pole>
<nutation>
<dPsi>0.223427</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019649</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>17904.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.174355</X>
<sigma_X>0.021264</sigma_X>
<Y>0.161466</Y>
<sigma_Y>0.016970</sigma_Y>
</pole>
<nutation>
<dPsi>0.225313</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020531</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1907</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>17923.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.175598</X>
<sigma_X>0.024543</sigma_X>
<Y>0.206632</Y>
<sigma_Y>0.023980</sigma_Y>
</pole>
<nutation>
<dPsi>0.225775</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021195</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>17941.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.097362</X>
<sigma_X>0.020961</sigma_X>
<Y>0.248588</Y>
<sigma_Y>0.019246</sigma_Y>
</pole>
<nutation>
<dPsi>0.225810</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021805</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>17959.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.103256</X>
<sigma_X>0.023340</sigma_X>
<Y>0.239543</Y>
<sigma_Y>0.021686</sigma_Y>
</pole>
<nutation>
<dPsi>0.227382</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021303</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>17978.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.059150</X>
<sigma_X>0.021129</sigma_X>
<Y>0.273673</Y>
<sigma_Y>0.020812</sigma_Y>
</pole>
<nutation>
<dPsi>0.227207</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021140</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>17996.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.009738</X>
<sigma_X>0.021141</sigma_X>
<Y>0.247679</Y>
<sigma_Y>0.016434</sigma_Y>
</pole>
<nutation>
<dPsi>0.227729</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020079</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>18014.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.090231</X>
<sigma_X>0.026740</sigma_X>
<Y>0.235712</Y>
<sigma_Y>0.018505</sigma_Y>
</pole>
<nutation>
<dPsi>0.229298</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018995</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>18032.812</MJD>
</time>
<dataEOP>
<pole>
<X>0.080896</X>
<sigma_X>0.018240</sigma_X>
<Y>0.218248</Y>
<sigma_Y>0.021370</sigma_Y>
</pole>
<nutation>
<dPsi>0.229311</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018199</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>18051.075</MJD>
</time>
<dataEOP>
<pole>
<X>0.155734</X>
<sigma_X>0.018790</sigma_X>
<Y>0.162113</Y>
<sigma_Y>0.016715</sigma_Y>
</pole>
<nutation>
<dPsi>0.229464</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017668</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>18069.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.153104</X>
<sigma_X>0.016738</sigma_X>
<Y>0.112474</Y>
<sigma_Y>0.018825</sigma_Y>
</pole>
<nutation>
<dPsi>0.230066</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017404</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>18087.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.174006</X>
<sigma_X>0.016325</sigma_X>
<Y>0.039783</Y>
<sigma_Y>0.016379</sigma_Y>
</pole>
<nutation>
<dPsi>0.228840</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017742</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>18105.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.193446</X>
<sigma_X>0.015329</sigma_X>
<Y>0.020749</Y>
<sigma_Y>0.015657</sigma_Y>
</pole>
<nutation>
<dPsi>0.225866</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017983</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>18124.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.183442</X>
<sigma_X>0.014045</sigma_X>
<Y>-0.054416</Y>
<sigma_Y>0.015258</sigma_Y>
</pole>
<nutation>
<dPsi>0.224148</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017758</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>18142.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.151230</X>
<sigma_X>0.015400</sigma_X>
<Y>-0.109330</Y>
<sigma_Y>0.015740</sigma_Y>
</pole>
<nutation>
<dPsi>0.221011</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017950</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>18160.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.107895</X>
<sigma_X>0.014253</sigma_X>
<Y>-0.142575</Y>
<sigma_Y>0.017721</sigma_Y>
</pole>
<nutation>
<dPsi>0.218005</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018017</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>18178.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.055421</X>
<sigma_X>0.013924</sigma_X>
<Y>-0.182132</Y>
<sigma_Y>0.015617</sigma_Y>
</pole>
<nutation>
<dPsi>0.218110</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017921</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>18197.175</MJD>
</time>
<dataEOP>
<pole>
<X>-0.006802</X>
<sigma_X>0.014573</sigma_X>
<Y>-0.171798</Y>
<sigma_Y>0.013946</sigma_Y>
</pole>
<nutation>
<dPsi>0.217375</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018515</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>18215.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062119</X>
<sigma_X>0.013913</sigma_X>
<Y>-0.178731</Y>
<sigma_Y>0.014406</sigma_Y>
</pole>
<nutation>
<dPsi>0.218672</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018822</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>18233.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.121188</X>
<sigma_X>0.013588</sigma_X>
<Y>-0.143226</Y>
<sigma_Y>0.015108</sigma_Y>
</pole>
<nutation>
<dPsi>0.220862</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019775</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>18251.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.198863</X>
<sigma_X>0.020551</sigma_X>
<Y>-0.118746</Y>
<sigma_Y>0.017930</sigma_Y>
</pole>
<nutation>
<dPsi>0.221928</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020876</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>18270.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.257306</X>
<sigma_X>0.018707</sigma_X>
<Y>-0.059747</Y>
<sigma_Y>0.017970</sigma_Y>
</pole>
<nutation>
<dPsi>0.223779</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021433</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>18288.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.280142</X>
<sigma_X>0.025856</sigma_X>
<Y>-0.002829</Y>
<sigma_Y>0.018203</sigma_Y>
</pole>
<nutation>
<dPsi>0.225755</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022009</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1908</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>18306.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.308610</X>
<sigma_X>0.026387</sigma_X>
<Y>0.086942</Y>
<sigma_Y>0.022224</sigma_Y>
</pole>
<nutation>
<dPsi>0.225750</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022357</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>18325.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.341603</X>
<sigma_X>0.019600</sigma_X>
<Y>0.134833</Y>
<sigma_Y>0.020706</sigma_Y>
</pole>
<nutation>
<dPsi>0.225465</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022472</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>18343.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.251390</X>
<sigma_X>0.031077</sigma_X>
<Y>0.177525</Y>
<sigma_Y>0.021241</sigma_Y>
</pole>
<nutation>
<dPsi>0.226839</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021632</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>18361.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.246483</X>
<sigma_X>0.026752</sigma_X>
<Y>0.259102</Y>
<sigma_Y>0.023854</sigma_Y>
</pole>
<nutation>
<dPsi>0.226768</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020912</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>18379.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.210286</X>
<sigma_X>0.025755</sigma_X>
<Y>0.316667</Y>
<sigma_Y>0.021167</sigma_Y>
</pole>
<nutation>
<dPsi>0.227612</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019739</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>18398.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.112005</X>
<sigma_X>0.020248</sigma_X>
<Y>0.334629</Y>
<sigma_Y>0.014937</sigma_Y>
</pole>
<nutation>
<dPsi>0.229254</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019067</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>18416.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.048988</X>
<sigma_X>0.016899</sigma_X>
<Y>0.365460</Y>
<sigma_Y>0.016349</sigma_Y>
</pole>
<nutation>
<dPsi>0.228697</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018541</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>18434.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.031781</X>
<sigma_X>0.016586</sigma_X>
<Y>0.354457</Y>
<sigma_Y>0.015842</sigma_Y>
</pole>
<nutation>
<dPsi>0.228695</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018113</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>18452.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.150484</X>
<sigma_X>0.017705</sigma_X>
<Y>0.322991</Y>
<sigma_Y>0.018760</sigma_Y>
</pole>
<nutation>
<dPsi>0.227936</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018012</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>18471.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.204095</X>
<sigma_X>0.015511</sigma_X>
<Y>0.289667</Y>
<sigma_Y>0.016422</sigma_Y>
</pole>
<nutation>
<dPsi>0.225419</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018767</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>18489.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.260631</X>
<sigma_X>0.016202</sigma_X>
<Y>0.206496</Y>
<sigma_Y>0.015492</sigma_Y>
</pole>
<nutation>
<dPsi>0.221845</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018510</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>18507.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.287879</X>
<sigma_X>0.013788</sigma_X>
<Y>0.107914</Y>
<sigma_Y>0.015217</sigma_Y>
</pole>
<nutation>
<dPsi>0.220089</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018414</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>18525.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.317579</X>
<sigma_X>0.014353</sigma_X>
<Y>0.078510</Y>
<sigma_Y>0.016305</sigma_Y>
</pole>
<nutation>
<dPsi>0.217528</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018374</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>18544.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.297728</X>
<sigma_X>0.016015</sigma_X>
<Y>-0.000174</Y>
<sigma_Y>0.016589</sigma_Y>
</pole>
<nutation>
<dPsi>0.215686</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018522</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>18562.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.230494</X>
<sigma_X>0.020029</sigma_X>
<Y>-0.081286</Y>
<sigma_Y>0.016220</sigma_Y>
</pole>
<nutation>
<dPsi>0.216886</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019066</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>18580.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.189346</X>
<sigma_X>0.017798</sigma_X>
<Y>-0.138513</Y>
<sigma_Y>0.014604</sigma_Y>
</pole>
<nutation>
<dPsi>0.217593</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019397</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>18598.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.086868</X>
<sigma_X>0.016833</sigma_X>
<Y>-0.192023</Y>
<sigma_Y>0.016196</sigma_Y>
</pole>
<nutation>
<dPsi>0.219223</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019861</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>18617.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.011898</X>
<sigma_X>0.025041</sigma_X>
<Y>-0.230762</Y>
<sigma_Y>0.018868</sigma_Y>
</pole>
<nutation>
<dPsi>0.221710</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021253</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>18635.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.099770</X>
<sigma_X>0.019596</sigma_X>
<Y>-0.198992</Y>
<sigma_Y>0.015525</sigma_Y>
</pole>
<nutation>
<dPsi>0.222673</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022217</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1909</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>18653.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.183726</X>
<sigma_X>0.019605</sigma_X>
<Y>-0.173322</Y>
<sigma_Y>0.021467</sigma_Y>
</pole>
<nutation>
<dPsi>0.223971</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022343</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>18672.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.230107</X>
<sigma_X>0.017879</sigma_X>
<Y>-0.132308</Y>
<sigma_Y>0.023836</sigma_Y>
</pole>
<nutation>
<dPsi>0.225636</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022744</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>18690.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.309029</X>
<sigma_X>0.024313</sigma_X>
<Y>-0.077616</Y>
<sigma_Y>0.022970</sigma_Y>
</pole>
<nutation>
<dPsi>0.224852</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022918</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>18708.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.333652</X>
<sigma_X>0.029325</sigma_X>
<Y>-0.017629</Y>
<sigma_Y>0.021884</sigma_Y>
</pole>
<nutation>
<dPsi>0.224995</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021981</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>18726.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.330243</X>
<sigma_X>0.018679</sigma_X>
<Y>0.092922</Y>
<sigma_Y>0.021530</sigma_Y>
</pole>
<nutation>
<dPsi>0.226264</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021280</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>18745.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.355044</X>
<sigma_X>0.020034</sigma_X>
<Y>0.105276</Y>
<sigma_Y>0.017387</sigma_Y>
</pole>
<nutation>
<dPsi>0.226241</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020235</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>18763.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.347442</X>
<sigma_X>0.018223</sigma_X>
<Y>0.227465</Y>
<sigma_Y>0.020878</sigma_Y>
</pole>
<nutation>
<dPsi>0.227662</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019131</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>18781.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.310539</X>
<sigma_X>0.015627</sigma_X>
<Y>0.324078</Y>
<sigma_Y>0.017841</sigma_Y>
</pole>
<nutation>
<dPsi>0.228755</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018832</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>18799.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.214801</X>
<sigma_X>0.017852</sigma_X>
<Y>0.362019</Y>
<sigma_Y>0.017202</sigma_Y>
</pole>
<nutation>
<dPsi>0.227302</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018792</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>18818.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.111014</X>
<sigma_X>0.024305</sigma_X>
<Y>0.383600</Y>
<sigma_Y>0.022434</sigma_Y>
</pole>
<nutation>
<dPsi>0.227052</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018087</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>18836.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.041812</X>
<sigma_X>0.017913</sigma_X>
<Y>0.411905</Y>
<sigma_Y>0.019909</sigma_Y>
</pole>
<nutation>
<dPsi>0.225142</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018525</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>18854.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.080252</X>
<sigma_X>0.014926</sigma_X>
<Y>0.428782</Y>
<sigma_Y>0.018871</sigma_Y>
</pole>
<nutation>
<dPsi>0.221918</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019209</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>18872.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.180618</X>
<sigma_X>0.015937</sigma_X>
<Y>0.392739</Y>
<sigma_Y>0.016706</sigma_Y>
</pole>
<nutation>
<dPsi>0.218902</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018464</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>18891.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.248586</X>
<sigma_X>0.015736</sigma_X>
<Y>0.340596</Y>
<sigma_Y>0.017809</sigma_Y>
</pole>
<nutation>
<dPsi>0.217564</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019081</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>18909.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.297416</X>
<sigma_X>0.022544</sigma_X>
<Y>0.263057</Y>
<sigma_Y>0.020170</sigma_Y>
</pole>
<nutation>
<dPsi>0.215739</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018825</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>18927.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.312774</X>
<sigma_X>0.016772</sigma_X>
<Y>0.157879</Y>
<sigma_Y>0.017294</sigma_Y>
</pole>
<nutation>
<dPsi>0.215714</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019024</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>18945.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.310442</X>
<sigma_X>0.016238</sigma_X>
<Y>0.055376</Y>
<sigma_Y>0.017012</sigma_Y>
</pole>
<nutation>
<dPsi>0.217351</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020029</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>18964.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.286540</X>
<sigma_X>0.016683</sigma_X>
<Y>-0.049473</Y>
<sigma_Y>0.015754</sigma_Y>
</pole>
<nutation>
<dPsi>0.218831</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020223</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>18982.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.216554</X>
<sigma_X>0.020000</sigma_X>
<Y>-0.064880</Y>
<sigma_Y>0.020206</sigma_Y>
</pole>
<nutation>
<dPsi>0.220923</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020601</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>19000.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.179073</X>
<sigma_X>0.022276</sigma_X>
<Y>-0.136328</Y>
<sigma_Y>0.023697</sigma_Y>
</pole>
<nutation>
<dPsi>0.222974</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022294</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1910</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>19018.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.072940</X>
<sigma_X>0.024667</sigma_X>
<Y>-0.192536</Y>
<sigma_Y>0.021666</sigma_Y>
</pole>
<nutation>
<dPsi>0.223242</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.023058</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>19037.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.001841</X>
<sigma_X>0.025923</sigma_X>
<Y>-0.195233</Y>
<sigma_Y>0.027219</sigma_Y>
</pole>
<nutation>
<dPsi>0.224304</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022544</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>19055.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.135567</X>
<sigma_X>0.022580</sigma_X>
<Y>-0.169146</Y>
<sigma_Y>0.026691</sigma_Y>
</pole>
<nutation>
<dPsi>0.225198</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.023037</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>19073.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.169904</X>
<sigma_X>0.022124</sigma_X>
<Y>-0.175514</Y>
<sigma_Y>0.019644</sigma_Y>
</pole>
<nutation>
<dPsi>0.224218</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022648</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>19092.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.235048</X>
<sigma_X>0.026262</sigma_X>
<Y>-0.101004</Y>
<sigma_Y>0.022500</sigma_Y>
</pole>
<nutation>
<dPsi>0.225526</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020938</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>19110.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.269016</X>
<sigma_X>0.037117</sigma_X>
<Y>-0.028715</Y>
<sigma_Y>0.032023</sigma_Y>
</pole>
<nutation>
<dPsi>0.226539</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020491</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>19128.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.301616</X>
<sigma_X>0.018680</sigma_X>
<Y>0.043106</Y>
<sigma_Y>0.016950</sigma_Y>
</pole>
<nutation>
<dPsi>0.225748</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019470</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>19146.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.312139</X>
<sigma_X>0.020223</sigma_X>
<Y>0.110241</Y>
<sigma_Y>0.018546</sigma_Y>
</pole>
<nutation>
<dPsi>0.227860</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018322</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>19165.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.292942</X>
<sigma_X>0.020115</sigma_X>
<Y>0.205638</Y>
<sigma_Y>0.017815</sigma_Y>
</pole>
<nutation>
<dPsi>0.227958</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018411</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>19183.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.212896</X>
<sigma_X>0.023221</sigma_X>
<Y>0.261371</Y>
<sigma_Y>0.018056</sigma_Y>
</pole>
<nutation>
<dPsi>0.225368</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018754</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>19201.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.202669</X>
<sigma_X>0.019364</sigma_X>
<Y>0.367072</Y>
<sigma_Y>0.017791</sigma_Y>
</pole>
<nutation>
<dPsi>0.224507</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017953</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>19219.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.123909</X>
<sigma_X>0.015347</sigma_X>
<Y>0.414671</Y>
<sigma_Y>0.017911</sigma_Y>
</pole>
<nutation>
<dPsi>0.221414</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018968</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>19238.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.058980</X>
<sigma_X>0.015218</sigma_X>
<Y>0.426132</Y>
<sigma_Y>0.017394</sigma_Y>
</pole>
<nutation>
<dPsi>0.218156</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018875</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>19256.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.029363</X>
<sigma_X>0.015033</sigma_X>
<Y>0.380421</Y>
<sigma_Y>0.016746</sigma_Y>
</pole>
<nutation>
<dPsi>0.216090</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018325</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>19274.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.096336</X>
<sigma_X>0.016138</sigma_X>
<Y>0.378898</Y>
<sigma_Y>0.020625</sigma_Y>
</pole>
<nutation>
<dPsi>0.215240</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019185</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>19292.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.149689</X>
<sigma_X>0.018067</sigma_X>
<Y>0.356618</Y>
<sigma_Y>0.017805</sigma_Y>
</pole>
<nutation>
<dPsi>0.214596</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018978</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>19311.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.199268</X>
<sigma_X>0.019087</sigma_X>
<Y>0.317519</Y>
<sigma_Y>0.021334</sigma_Y>
</pole>
<nutation>
<dPsi>0.216432</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019352</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>19329.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.221188</X>
<sigma_X>0.019386</sigma_X>
<Y>0.218165</Y>
<sigma_Y>0.017673</sigma_Y>
</pole>
<nutation>
<dPsi>0.218343</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020634</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>19347.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.252758</X>
<sigma_X>0.019811</sigma_X>
<Y>0.174246</Y>
<sigma_Y>0.022725</sigma_Y>
</pole>
<nutation>
<dPsi>0.219527</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021024</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>19365.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.250636</X>
<sigma_X>0.026226</sigma_X>
<Y>0.080152</Y>
<sigma_Y>0.023295</sigma_Y>
</pole>
<nutation>
<dPsi>0.222052</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021274</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1911</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>19384.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.210227</X>
<sigma_X>0.025245</sigma_X>
<Y>0.048791</Y>
<sigma_Y>0.028385</sigma_Y>
</pole>
<nutation>
<dPsi>0.223189</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022734</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>19402.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.169349</X>
<sigma_X>0.022641</sigma_X>
<Y>0.055879</Y>
<sigma_Y>0.031726</sigma_Y>
</pole>
<nutation>
<dPsi>0.222909</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.023071</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>19420.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.079708</X>
<sigma_X>0.024733</sigma_X>
<Y>-0.001265</Y>
<sigma_Y>0.024399</sigma_Y>
</pole>
<nutation>
<dPsi>0.224005</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022364</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>19439.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.084414</X>
<sigma_X>0.027024</sigma_X>
<Y>-0.090437</Y>
<sigma_Y>0.024968</sigma_Y>
</pole>
<nutation>
<dPsi>0.224304</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022334</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>19457.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.018763</X>
<sigma_X>0.025119</sigma_X>
<Y>-0.096203</Y>
<sigma_Y>0.023699</sigma_Y>
</pole>
<nutation>
<dPsi>0.223897</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021351</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>19475.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.068741</X>
<sigma_X>0.021501</sigma_X>
<Y>-0.038408</Y>
<sigma_Y>0.021967</sigma_Y>
</pole>
<nutation>
<dPsi>0.225574</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019656</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>19493.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.125586</X>
<sigma_X>0.017624</sigma_X>
<Y>-0.108303</Y>
<sigma_Y>0.020065</sigma_Y>
</pole>
<nutation>
<dPsi>0.226493</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019271</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>19512.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.161072</X>
<sigma_X>0.018694</sigma_X>
<Y>-0.041471</Y>
<sigma_Y>0.021588</sigma_Y>
</pole>
<nutation>
<dPsi>0.225397</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018382</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>19530.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.196216</X>
<sigma_X>0.016050</sigma_X>
<Y>0.006524</Y>
<sigma_Y>0.019944</sigma_Y>
</pole>
<nutation>
<dPsi>0.227147</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017539</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>19548.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.196412</X>
<sigma_X>0.016134</sigma_X>
<Y>0.043481</Y>
<sigma_Y>0.017629</sigma_Y>
</pole>
<nutation>
<dPsi>0.225947</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018165</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>19566.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.198731</X>
<sigma_X>0.018727</sigma_X>
<Y>0.124257</Y>
<sigma_Y>0.024792</sigma_Y>
</pole>
<nutation>
<dPsi>0.222483</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018294</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>19585.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.181729</X>
<sigma_X>0.016863</sigma_X>
<Y>0.124455</Y>
<sigma_Y>0.020929</sigma_Y>
</pole>
<nutation>
<dPsi>0.220551</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018022</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>19603.387</MJD>
</time>
<dataEOP>
<pole>
<X>-0.129591</X>
<sigma_X>0.017843</sigma_X>
<Y>0.190834</Y>
<sigma_Y>0.020713</sigma_Y>
</pole>
<nutation>
<dPsi>0.216890</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018558</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>19621.650</MJD>
</time>
<dataEOP>
<pole>
<X>-0.136829</X>
<sigma_X>0.016594</sigma_X>
<Y>0.207527</Y>
<sigma_Y>0.018750</sigma_Y>
</pole>
<nutation>
<dPsi>0.214378</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017803</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>19639.912</MJD>
</time>
<dataEOP>
<pole>
<X>-0.121199</X>
<sigma_X>0.017417</sigma_X>
<Y>0.182119</Y>
<sigma_Y>0.019241</sigma_Y>
</pole>
<nutation>
<dPsi>0.213560</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018160</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>19658.175</MJD>
</time>
<dataEOP>
<pole>
<X>-0.090798</X>
<sigma_X>0.019500</sigma_X>
<Y>0.241099</Y>
<sigma_Y>0.018454</sigma_Y>
</pole>
<nutation>
<dPsi>0.213563</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018585</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>19676.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.055780</X>
<sigma_X>0.022076</sigma_X>
<Y>0.254124</Y>
<sigma_Y>0.019781</sigma_Y>
</pole>
<nutation>
<dPsi>0.214319</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018854</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>19694.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.034983</X>
<sigma_X>0.018116</sigma_X>
<Y>0.265347</Y>
<sigma_Y>0.017554</sigma_Y>
</pole>
<nutation>
<dPsi>0.216801</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019622</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>19712.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.023051</X>
<sigma_X>0.025646</sigma_X>
<Y>0.271521</Y>
<sigma_Y>0.020368</sigma_Y>
</pole>
<nutation>
<dPsi>0.218746</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020895</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>19731.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.021445</X>
<sigma_X>0.026196</sigma_X>
<Y>0.286375</Y>
<sigma_Y>0.021258</sigma_Y>
</pole>
<nutation>
<dPsi>0.219549</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021229</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>19749.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.076289</X>
<sigma_X>0.027245</sigma_X>
<Y>0.243559</Y>
<sigma_Y>0.020964</sigma_Y>
</pole>
<nutation>
<dPsi>0.222019</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021743</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1912</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>19767.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.062114</X>
<sigma_X>0.025508</sigma_X>
<Y>0.195207</Y>
<sigma_Y>0.025216</sigma_Y>
</pole>
<nutation>
<dPsi>0.222035</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.022181</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>19786.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.048144</X>
<sigma_X>0.019930</sigma_X>
<Y>0.193881</Y>
<sigma_Y>0.021708</sigma_Y>
</pole>
<nutation>
<dPsi>0.221762</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021922</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>19804.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.089525</X>
<sigma_X>0.019313</sigma_X>
<Y>0.184658</Y>
<sigma_Y>0.020320</sigma_Y>
</pole>
<nutation>
<dPsi>0.222659</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021484</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>19822.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.089672</X>
<sigma_X>0.018670</sigma_X>
<Y>0.121363</Y>
<sigma_Y>0.019708</sigma_Y>
</pole>
<nutation>
<dPsi>0.222790</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020575</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>19840.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.091952</X>
<sigma_X>0.019503</sigma_X>
<Y>0.103211</Y>
<sigma_Y>0.020025</sigma_Y>
</pole>
<nutation>
<dPsi>0.223674</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019058</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>19859.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.087765</X>
<sigma_X>0.023040</sigma_X>
<Y>0.033437</Y>
<sigma_Y>0.020502</sigma_Y>
</pole>
<nutation>
<dPsi>0.224815</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018225</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>19877.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.072322</X>
<sigma_X>0.024083</sigma_X>
<Y>0.052575</Y>
<sigma_Y>0.018153</sigma_Y>
</pole>
<nutation>
<dPsi>0.225160</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018056</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>19895.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.087121</X>
<sigma_X>0.018430</sigma_X>
<Y>0.018949</Y>
<sigma_Y>0.019359</sigma_Y>
</pole>
<nutation>
<dPsi>0.224623</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017066</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>19913.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.073690</X>
<sigma_X>0.016404</sigma_X>
<Y>-0.003899</Y>
<sigma_Y>0.020638</sigma_Y>
</pole>
<nutation>
<dPsi>0.224642</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017176</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>19932.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.082499</X>
<sigma_X>0.016733</sigma_X>
<Y>0.006837</Y>
<sigma_Y>0.017734</sigma_Y>
</pole>
<nutation>
<dPsi>0.221956</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017781</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>19950.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.020192</X>
<sigma_X>0.016975</sigma_X>
<Y>0.035109</Y>
<sigma_Y>0.019516</sigma_Y>
</pole>
<nutation>
<dPsi>0.218632</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017276</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>19968.637</MJD>
</time>
<dataEOP>
<pole>
<X>-0.018191</X>
<sigma_X>0.019043</sigma_X>
<Y>0.001423</Y>
<sigma_Y>0.017306</sigma_Y>
</pole>
<nutation>
<dPsi>0.216595</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017835</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>19986.900</MJD>
</time>
<dataEOP>
<pole>
<X>-0.034215</X>
<sigma_X>0.016473</sigma_X>
<Y>-0.030131</Y>
<sigma_Y>0.017035</sigma_Y>
</pole>
<nutation>
<dPsi>0.213064</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017546</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>20005.162</MJD>
</time>
<dataEOP>
<pole>
<X>-0.067901</X>
<sigma_X>0.019003</sigma_X>
<Y>-0.027971</Y>
<sigma_Y>0.017166</sigma_Y>
</pole>
<nutation>
<dPsi>0.212133</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016780</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>20023.425</MJD>
</time>
<dataEOP>
<pole>
<X>-0.100846</X>
<sigma_X>0.018582</sigma_X>
<Y>-0.028967</Y>
<sigma_Y>0.021546</sigma_Y>
</pole>
<nutation>
<dPsi>0.212443</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018027</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>20041.687</MJD>
</time>
<dataEOP>
<pole>
<X>-0.141937</X>
<sigma_X>0.016754</sigma_X>
<Y>0.023143</Y>
<sigma_Y>0.017001</sigma_Y>
</pole>
<nutation>
<dPsi>0.212966</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018041</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>20059.950</MJD>
</time>
<dataEOP>
<pole>
<X>-0.149643</X>
<sigma_X>0.017621</sigma_X>
<Y>0.076848</Y>
<sigma_Y>0.019734</sigma_Y>
</pole>
<nutation>
<dPsi>0.214990</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018430</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>20078.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.144513</X>
<sigma_X>0.020223</sigma_X>
<Y>0.120160</Y>
<sigma_Y>0.021000</sigma_Y>
</pole>
<nutation>
<dPsi>0.217134</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019852</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>20096.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.123686</X>
<sigma_X>0.021224</sigma_X>
<Y>0.150166</Y>
<sigma_Y>0.021376</sigma_Y>
</pole>
<nutation>
<dPsi>0.218871</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020673</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1913</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>20114.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.133843</X>
<sigma_X>0.024845</sigma_X>
<Y>0.202944</Y>
<sigma_Y>0.020515</sigma_Y>
</pole>
<nutation>
<dPsi>0.219479</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020813</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>20133.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.130898</X>
<sigma_X>0.033317</sigma_X>
<Y>0.230314</Y>
<sigma_Y>0.031443</sigma_Y>
</pole>
<nutation>
<dPsi>0.221309</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021659</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>20151.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.172782</X>
<sigma_X>0.035766</sigma_X>
<Y>0.296877</Y>
<sigma_Y>0.034525</sigma_Y>
</pole>
<nutation>
<dPsi>0.220349</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.021095</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>20169.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.100958</X>
<sigma_X>0.018963</sigma_X>
<Y>0.221030</Y>
<sigma_Y>0.020697</sigma_Y>
</pole>
<nutation>
<dPsi>0.220831</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020213</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>20187.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.020963</X>
<sigma_X>0.022445</sigma_X>
<Y>0.253895</Y>
<sigma_Y>0.022511</sigma_Y>
</pole>
<nutation>
<dPsi>0.221620</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019914</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>20206.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.036905</X>
<sigma_X>0.021350</sigma_X>
<Y>0.252520</Y>
<sigma_Y>0.022394</sigma_Y>
</pole>
<nutation>
<dPsi>0.221281</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018880</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>20224.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.062204</X>
<sigma_X>0.016918</sigma_X>
<Y>0.196999</Y>
<sigma_Y>0.021653</sigma_Y>
</pole>
<nutation>
<dPsi>0.223393</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016934</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>20242.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.129037</X>
<sigma_X>0.017167</sigma_X>
<Y>0.231080</Y>
<sigma_Y>0.017582</sigma_Y>
</pole>
<nutation>
<dPsi>0.223371</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017121</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>20260.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.128563</X>
<sigma_X>0.016432</sigma_X>
<Y>0.182778</Y>
<sigma_Y>0.017542</sigma_Y>
</pole>
<nutation>
<dPsi>0.222678</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017163</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>20279.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.126860</X>
<sigma_X>0.015623</sigma_X>
<Y>0.164969</Y>
<sigma_Y>0.015824</sigma_Y>
</pole>
<nutation>
<dPsi>0.222284</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016165</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>20297.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.171953</X>
<sigma_X>0.022569</sigma_X>
<Y>0.134850</Y>
<sigma_Y>0.019749</sigma_Y>
</pole>
<nutation>
<dPsi>0.220319</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016990</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>20315.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.182910</X>
<sigma_X>0.015137</sigma_X>
<Y>0.095301</Y>
<sigma_Y>0.019492</sigma_Y>
</pole>
<nutation>
<dPsi>0.216927</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017206</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>20333.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.150447</X>
<sigma_X>0.014125</sigma_X>
<Y>0.040006</Y>
<sigma_Y>0.017450</sigma_Y>
</pole>
<nutation>
<dPsi>0.214149</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016574</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>20352.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.123612</X>
<sigma_X>0.015298</sigma_X>
<Y>0.014827</Y>
<sigma_Y>0.018668</sigma_Y>
</pole>
<nutation>
<dPsi>0.212792</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017333</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>20370.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.082580</X>
<sigma_X>0.016222</sigma_X>
<Y>-0.024790</Y>
<sigma_Y>0.017297</sigma_Y>
</pole>
<nutation>
<dPsi>0.209616</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016984</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>20388.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.047525</X>
<sigma_X>0.016062</sigma_X>
<Y>-0.063360</Y>
<sigma_Y>0.015007</sigma_Y>
</pole>
<nutation>
<dPsi>0.210513</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016460</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>20406.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.009962</X>
<sigma_X>0.017295</sigma_X>
<Y>-0.094926</Y>
<sigma_Y>0.017527</sigma_Y>
</pole>
<nutation>
<dPsi>0.211675</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017896</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>20425.200</MJD>
</time>
<dataEOP>
<pole>
<X>-0.088245</X>
<sigma_X>0.023379</sigma_X>
<Y>-0.121056</Y>
<sigma_Y>0.018146</sigma_Y>
</pole>
<nutation>
<dPsi>0.212883</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017923</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>20443.462</MJD>
</time>
<dataEOP>
<pole>
<X>-0.167399</X>
<sigma_X>0.025394</sigma_X>
<Y>-0.048242</Y>
<sigma_Y>0.018219</sigma_Y>
</pole>
<nutation>
<dPsi>0.215341</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018359</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>20461.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.167097</X>
<sigma_X>0.021056</sigma_X>
<Y>0.019381</Y>
<sigma_Y>0.032464</sigma_Y>
</pole>
<nutation>
<dPsi>0.216422</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019911</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1914</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>20479.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.184018</X>
<sigma_X>0.029746</sigma_X>
<Y>0.086449</Y>
<sigma_Y>0.033572</sigma_Y>
</pole>
<nutation>
<dPsi>0.217843</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020215</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>20498.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.249985</X>
<sigma_X>0.028614</sigma_X>
<Y>0.104582</Y>
<sigma_Y>0.023914</sigma_Y>
</pole>
<nutation>
<dPsi>0.218284</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020154</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>20516.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.252180</X>
<sigma_X>0.033641</sigma_X>
<Y>0.093299</Y>
<sigma_Y>0.032937</sigma_Y>
</pole>
<nutation>
<dPsi>0.219519</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.020461</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>20534.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.244492</X>
<sigma_X>0.023303</sigma_X>
<Y>0.191968</Y>
<sigma_Y>0.029005</sigma_Y>
</pole>
<nutation>
<dPsi>0.218571</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019737</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>20553.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.162080</X>
<sigma_X>0.023903</sigma_X>
<Y>0.212886</Y>
<sigma_Y>0.023568</sigma_Y>
</pole>
<nutation>
<dPsi>0.219950</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018303</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>20571.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.181692</X>
<sigma_X>0.022897</sigma_X>
<Y>0.311135</Y>
<sigma_Y>0.027065</sigma_Y>
</pole>
<nutation>
<dPsi>0.220753</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017865</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>20589.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.122166</X>
<sigma_X>0.025310</sigma_X>
<Y>0.400301</Y>
<sigma_Y>0.031995</sigma_Y>
</pole>
<nutation>
<dPsi>0.220200</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017077</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>20607.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.056452</X>
<sigma_X>0.018782</sigma_X>
<Y>0.378606</Y>
<sigma_Y>0.024248</sigma_Y>
</pole>
<nutation>
<dPsi>0.222515</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015198</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>20626.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000653</X>
<sigma_X>0.017973</sigma_X>
<Y>0.356878</Y>
<sigma_Y>0.024234</sigma_Y>
</pole>
<nutation>
<dPsi>0.221749</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015564</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>20644.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.055627</X>
<sigma_X>0.018606</sigma_X>
<Y>0.302112</Y>
<sigma_Y>0.023422</sigma_Y>
</pole>
<nutation>
<dPsi>0.220354</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015768</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>20662.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.138790</X>
<sigma_X>0.018422</sigma_X>
<Y>0.308645</Y>
<sigma_Y>0.022512</sigma_Y>
</pole>
<nutation>
<dPsi>0.219178</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015253</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>20680.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.191339</X>
<sigma_X>0.016184</sigma_X>
<Y>0.290243</Y>
<sigma_Y>0.021073</sigma_Y>
</pole>
<nutation>
<dPsi>0.216012</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015849</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>20699.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.214909</X>
<sigma_X>0.018418</sigma_X>
<Y>0.171100</Y>
<sigma_Y>0.025431</sigma_Y>
</pole>
<nutation>
<dPsi>0.212470</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016012</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>20717.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.220185</X>
<sigma_X>0.017425</sigma_X>
<Y>0.035417</Y>
<sigma_Y>0.026267</sigma_Y>
</pole>
<nutation>
<dPsi>0.210277</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015687</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>20735.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.230128</X>
<sigma_X>0.018871</sigma_X>
<Y>0.069078</Y>
<sigma_Y>0.023943</sigma_Y>
</pole>
<nutation>
<dPsi>0.209415</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016023</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>20753.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.233771</X>
<sigma_X>0.020055</sigma_X>
<Y>0.010821</Y>
<sigma_Y>0.022359</sigma_Y>
</pole>
<nutation>
<dPsi>0.207647</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016243</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>20772.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.180702</X>
<sigma_X>0.024279</sigma_X>
<Y>-0.106396</Y>
<sigma_Y>0.026023</sigma_Y>
</pole>
<nutation>
<dPsi>0.210047</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015946</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>20790.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.102765</X>
<sigma_X>0.022658</sigma_X>
<Y>-0.168208</Y>
<sigma_Y>0.025766</sigma_Y>
</pole>
<nutation>
<dPsi>0.211392</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017158</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>20808.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.057664</X>
<sigma_X>0.025475</sigma_X>
<Y>-0.191373</Y>
<sigma_Y>0.020823</sigma_Y>
</pole>
<nutation>
<dPsi>0.213177</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017491</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>20826.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.012679</X>
<sigma_X>0.025583</sigma_X>
<Y>-0.185686</Y>
<sigma_Y>0.026501</sigma_Y>
</pole>
<nutation>
<dPsi>0.215150</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018116</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1915</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>20845.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.043566</X>
<sigma_X>0.026022</sigma_X>
<Y>-0.144367</Y>
<sigma_Y>0.026809</sigma_Y>
</pole>
<nutation>
<dPsi>0.215180</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018908</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>20863.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.165166</X>
<sigma_X>0.021106</sigma_X>
<Y>-0.075442</Y>
<sigma_Y>0.021087</sigma_Y>
</pole>
<nutation>
<dPsi>0.215876</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.019114</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>20881.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.219334</X>
<sigma_X>0.020926</sigma_X>
<Y>-0.126499</Y>
<sigma_Y>0.032021</sigma_Y>
</pole>
<nutation>
<dPsi>0.216400</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018809</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>20900.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.259537</X>
<sigma_X>0.032774</sigma_X>
<Y>-0.072732</Y>
<sigma_Y>0.036021</sigma_Y>
</pole>
<nutation>
<dPsi>0.216960</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018507</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>20918.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.263626</X>
<sigma_X>0.023197</sigma_X>
<Y>0.038896</Y>
<sigma_Y>0.024990</sigma_Y>
</pole>
<nutation>
<dPsi>0.216753</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017704</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>20936.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.254366</X>
<sigma_X>0.019381</sigma_X>
<Y>0.101167</Y>
<sigma_Y>0.021115</sigma_Y>
</pole>
<nutation>
<dPsi>0.218302</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016066</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>20954.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.232746</X>
<sigma_X>0.018579</sigma_X>
<Y>0.192734</Y>
<sigma_Y>0.023074</sigma_Y>
</pole>
<nutation>
<dPsi>0.218784</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015598</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>20973.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.198502</X>
<sigma_X>0.017046</sigma_X>
<Y>0.225783</Y>
<sigma_Y>0.019845</sigma_Y>
</pole>
<nutation>
<dPsi>0.218607</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014910</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>20991.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.158988</X>
<sigma_X>0.016840</sigma_X>
<Y>0.254846</Y>
<sigma_Y>0.021140</sigma_Y>
</pole>
<nutation>
<dPsi>0.220013</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013917</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>21009.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.078369</X>
<sigma_X>0.016886</sigma_X>
<Y>0.360315</Y>
<sigma_Y>0.023971</sigma_Y>
</pole>
<nutation>
<dPsi>0.218579</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014091</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>21027.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.006334</X>
<sigma_X>0.022118</sigma_X>
<Y>0.348430</Y>
<sigma_Y>0.024666</sigma_Y>
</pole>
<nutation>
<dPsi>0.215887</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014560</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>21046.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.041253</X>
<sigma_X>0.014830</sigma_X>
<Y>0.346367</Y>
<sigma_Y>0.018254</sigma_Y>
</pole>
<nutation>
<dPsi>0.213951</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014517</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>21064.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.104350</X>
<sigma_X>0.015851</sigma_X>
<Y>0.297115</Y>
<sigma_Y>0.019906</sigma_Y>
</pole>
<nutation>
<dPsi>0.210436</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014646</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>21082.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.185128</X>
<sigma_X>0.013531</sigma_X>
<Y>0.235322</Y>
<sigma_Y>0.016555</sigma_Y>
</pole>
<nutation>
<dPsi>0.207602</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014675</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>21100.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.235183</X>
<sigma_X>0.014146</sigma_X>
<Y>0.169322</Y>
<sigma_Y>0.016362</sigma_Y>
</pole>
<nutation>
<dPsi>0.206845</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014796</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>21119.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.247374</X>
<sigma_X>0.016351</sigma_X>
<Y>0.079784</Y>
<sigma_Y>0.020452</sigma_Y>
</pole>
<nutation>
<dPsi>0.206313</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014820</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>21137.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.244263</X>
<sigma_X>0.018598</sigma_X>
<Y>0.016027</Y>
<sigma_Y>0.022274</sigma_Y>
</pole>
<nutation>
<dPsi>0.206683</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015595</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>21155.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.260486</X>
<sigma_X>0.019857</sigma_X>
<Y>-0.016528</Y>
<sigma_Y>0.023328</sigma_Y>
</pole>
<nutation>
<dPsi>0.209728</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015587</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>21173.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.213517</X>
<sigma_X>0.020614</sigma_X>
<Y>-0.080433</Y>
<sigma_Y>0.025172</sigma_Y>
</pole>
<nutation>
<dPsi>0.210879</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016572</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>21192.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.141132</X>
<sigma_X>0.022148</sigma_X>
<Y>-0.149311</Y>
<sigma_Y>0.024895</sigma_Y>
</pole>
<nutation>
<dPsi>0.212764</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017182</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>21210.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.093281</X>
<sigma_X>0.028605</sigma_X>
<Y>-0.191414</Y>
<sigma_Y>0.027263</sigma_Y>
</pole>
<nutation>
<dPsi>0.214704</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017855</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1916</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>21228.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.024959</X>
<sigma_X>0.027629</sigma_X>
<Y>-0.158975</Y>
<sigma_Y>0.026845</sigma_Y>
</pole>
<nutation>
<dPsi>0.214207</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017993</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>21247.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.058052</X>
<sigma_X>0.031989</sigma_X>
<Y>-0.142930</Y>
<sigma_Y>0.029129</sigma_Y>
</pole>
<nutation>
<dPsi>0.213948</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017883</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>21265.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.117344</X>
<sigma_X>0.020342</sigma_X>
<Y>-0.115578</Y>
<sigma_Y>0.021036</sigma_Y>
</pole>
<nutation>
<dPsi>0.214632</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017229</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>21283.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.173357</X>
<sigma_X>0.021101</sigma_X>
<Y>-0.131475</Y>
<sigma_Y>0.026982</sigma_Y>
</pole>
<nutation>
<dPsi>0.214517</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016657</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>21301.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.211237</X>
<sigma_X>0.021234</sigma_X>
<Y>-0.054159</Y>
<sigma_Y>0.024840</sigma_Y>
</pole>
<nutation>
<dPsi>0.215366</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015101</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>21320.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.224612</X>
<sigma_X>0.023057</sigma_X>
<Y>-0.032884</Y>
<sigma_Y>0.022647</sigma_Y>
</pole>
<nutation>
<dPsi>0.216189</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013973</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>21338.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.189042</X>
<sigma_X>0.021112</sigma_X>
<Y>0.041989</Y>
<sigma_Y>0.026005</sigma_Y>
</pole>
<nutation>
<dPsi>0.216490</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013667</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>21356.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.146583</X>
<sigma_X>0.021976</sigma_X>
<Y>0.170285</Y>
<sigma_Y>0.028121</sigma_Y>
</pole>
<nutation>
<dPsi>0.216195</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013049</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>21374.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.145231</X>
<sigma_X>0.023721</sigma_X>
<Y>0.168065</Y>
<sigma_Y>0.023514</sigma_Y>
</pole>
<nutation>
<dPsi>0.216156</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013009</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>21393.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.120579</X>
<sigma_X>0.022427</sigma_X>
<Y>0.214113</Y>
<sigma_Y>0.026058</sigma_Y>
</pole>
<nutation>
<dPsi>0.213724</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013164</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>21411.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.032300</X>
<sigma_X>0.018957</sigma_X>
<Y>0.307514</Y>
<sigma_Y>0.024565</sigma_Y>
</pole>
<nutation>
<dPsi>0.209825</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013563</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>21429.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.011272</X>
<sigma_X>0.015254</sigma_X>
<Y>0.271131</Y>
<sigma_Y>0.021878</sigma_Y>
</pole>
<nutation>
<dPsi>0.208144</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013681</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>21447.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.043834</X>
<sigma_X>0.015958</sigma_X>
<Y>0.249607</Y>
<sigma_Y>0.017831</sigma_Y>
</pole>
<nutation>
<dPsi>0.204685</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013602</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>21466.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.096967</X>
<sigma_X>0.018609</sigma_X>
<Y>0.247996</Y>
<sigma_Y>0.020415</sigma_Y>
</pole>
<nutation>
<dPsi>0.203130</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013248</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>21484.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.112254</X>
<sigma_X>0.022369</sigma_X>
<Y>0.236326</Y>
<sigma_Y>0.020969</sigma_Y>
</pole>
<nutation>
<dPsi>0.203690</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013920</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>21502.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.143977</X>
<sigma_X>0.021387</sigma_X>
<Y>0.149952</Y>
<sigma_Y>0.026198</sigma_Y>
</pole>
<nutation>
<dPsi>0.203922</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013658</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>21520.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.136411</X>
<sigma_X>0.023060</sigma_X>
<Y>0.094603</Y>
<sigma_Y>0.020892</sigma_Y>
</pole>
<nutation>
<dPsi>0.205643</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014706</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>21539.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.123326</X>
<sigma_X>0.024286</sigma_X>
<Y>0.081772</Y>
<sigma_Y>0.019861</sigma_Y>
</pole>
<nutation>
<dPsi>0.208424</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014958</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>21557.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.113935</X>
<sigma_X>0.026323</sigma_X>
<Y>0.068647</Y>
<sigma_Y>0.026472</sigma_Y>
</pole>
<nutation>
<dPsi>0.209274</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016170</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1917</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>21575.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.115150</X>
<sigma_X>0.023665</sigma_X>
<Y>0.016267</Y>
<sigma_Y>0.023931</sigma_Y>
</pole>
<nutation>
<dPsi>0.210551</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016562</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>21594.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.076735</X>
<sigma_X>0.026127</sigma_X>
<Y>-0.015212</Y>
<sigma_Y>0.025969</sigma_Y>
</pole>
<nutation>
<dPsi>0.212186</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017081</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>21612.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.020634</X>
<sigma_X>0.026366</sigma_X>
<Y>-0.072832</Y>
<sigma_Y>0.032870</sigma_Y>
</pole>
<nutation>
<dPsi>0.211010</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016873</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>21630.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.037520</X>
<sigma_X>0.020200</sigma_X>
<Y>-0.025254</Y>
<sigma_Y>0.029238</sigma_Y>
</pole>
<nutation>
<dPsi>0.210647</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015732</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>21648.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.068486</X>
<sigma_X>0.021958</sigma_X>
<Y>-0.009489</Y>
<sigma_Y>0.020534</sigma_Y>
</pole>
<nutation>
<dPsi>0.211528</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015002</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>21667.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.100195</X>
<sigma_X>0.016694</sigma_X>
<Y>0.016419</Y>
<sigma_Y>0.021282</sigma_Y>
</pole>
<nutation>
<dPsi>0.211780</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014264</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>21685.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.124587</X>
<sigma_X>0.019509</sigma_X>
<Y>0.046420</Y>
<sigma_Y>0.020964</sigma_Y>
</pole>
<nutation>
<dPsi>0.213037</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012171</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>21703.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.113656</X>
<sigma_X>0.018425</sigma_X>
<Y>0.098676</Y>
<sigma_Y>0.023442</sigma_Y>
</pole>
<nutation>
<dPsi>0.213157</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011970</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>21721.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.125477</X>
<sigma_X>0.019044</sigma_X>
<Y>0.133601</Y>
<sigma_Y>0.023016</sigma_Y>
</pole>
<nutation>
<dPsi>0.213134</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011963</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>21740.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.130921</X>
<sigma_X>0.018435</sigma_X>
<Y>0.151278</Y>
<sigma_Y>0.021476</sigma_Y>
</pole>
<nutation>
<dPsi>0.212157</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011425</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>21758.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.121100</X>
<sigma_X>0.018731</sigma_X>
<Y>0.179908</Y>
<sigma_Y>0.020123</sigma_Y>
</pole>
<nutation>
<dPsi>0.211127</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011884</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>21776.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.087846</X>
<sigma_X>0.019624</sigma_X>
<Y>0.263982</Y>
<sigma_Y>0.026185</sigma_Y>
</pole>
<nutation>
<dPsi>0.207809</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012332</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>21794.887</MJD>
</time>
<dataEOP>
<pole>
<X>-0.068788</X>
<sigma_X>0.019132</sigma_X>
<Y>0.199870</Y>
<sigma_Y>0.018521</sigma_Y>
</pole>
<nutation>
<dPsi>0.204226</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012324</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>21813.150</MJD>
</time>
<dataEOP>
<pole>
<X>-0.011281</X>
<sigma_X>0.016835</sigma_X>
<Y>0.173752</Y>
<sigma_Y>0.019443</sigma_Y>
</pole>
<nutation>
<dPsi>0.203000</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012718</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>21831.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.010348</X>
<sigma_X>0.016686</sigma_X>
<Y>0.212791</Y>
<sigma_Y>0.021505</sigma_Y>
</pole>
<nutation>
<dPsi>0.200065</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012486</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>21849.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.014608</X>
<sigma_X>0.015712</sigma_X>
<Y>0.197804</Y>
<sigma_Y>0.019009</sigma_Y>
</pole>
<nutation>
<dPsi>0.200107</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011857</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>21867.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.016129</X>
<sigma_X>0.019910</sigma_X>
<Y>0.154892</Y>
<sigma_Y>0.020154</sigma_Y>
</pole>
<nutation>
<dPsi>0.201492</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012946</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>21886.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.062025</X>
<sigma_X>0.021193</sigma_X>
<Y>0.196830</Y>
<sigma_Y>0.022071</sigma_Y>
</pole>
<nutation>
<dPsi>0.202920</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012751</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>21904.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.099451</X>
<sigma_X>0.029952</sigma_X>
<Y>0.185653</Y>
<sigma_Y>0.025289</sigma_Y>
</pole>
<nutation>
<dPsi>0.204842</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013819</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>21922.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.051196</X>
<sigma_X>0.028760</sigma_X>
<Y>0.186710</Y>
<sigma_Y>0.026442</sigma_Y>
</pole>
<nutation>
<dPsi>0.207003</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014306</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1918</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>21940.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.055068</X>
<sigma_X>0.030357</sigma_X>
<Y>0.179579</Y>
<sigma_Y>0.029409</sigma_Y>
</pole>
<nutation>
<dPsi>0.206912</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015921</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>21959.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.043351</X>
<sigma_X>0.034884</sigma_X>
<Y>0.172434</Y>
<sigma_Y>0.031451</sigma_Y>
</pole>
<nutation>
<dPsi>0.207726</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015388</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>21977.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.033779</X>
<sigma_X>0.025178</sigma_X>
<Y>0.168770</Y>
<sigma_Y>0.024247</sigma_Y>
</pole>
<nutation>
<dPsi>0.208458</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015728</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>21995.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.011201</X>
<sigma_X>0.025016</sigma_X>
<Y>0.093952</Y>
<sigma_Y>0.024082</sigma_Y>
</pole>
<nutation>
<dPsi>0.207314</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015162</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>22014.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.015406</X>
<sigma_X>0.024155</sigma_X>
<Y>0.101546</Y>
<sigma_Y>0.025256</sigma_Y>
</pole>
<nutation>
<dPsi>0.207586</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013208</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>22032.300</MJD>
</time>
<dataEOP>
<pole>
<X>0.002304</X>
<sigma_X>0.020096</sigma_X>
<Y>0.137918</Y>
<sigma_Y>0.023224</sigma_Y>
</pole>
<nutation>
<dPsi>0.208476</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012690</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>22050.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.030542</X>
<sigma_X>0.019975</sigma_X>
<Y>0.130783</Y>
<sigma_Y>0.024651</sigma_Y>
</pole>
<nutation>
<dPsi>0.209002</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011904</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>22068.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.019863</X>
<sigma_X>0.018495</sigma_X>
<Y>0.084676</Y>
<sigma_Y>0.021377</sigma_Y>
</pole>
<nutation>
<dPsi>0.209603</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010053</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>22087.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.016016</X>
<sigma_X>0.018300</sigma_X>
<Y>0.111326</Y>
<sigma_Y>0.025872</sigma_Y>
</pole>
<nutation>
<dPsi>0.209550</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010555</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>22105.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.007640</X>
<sigma_X>0.019054</sigma_X>
<Y>0.092364</Y>
<sigma_Y>0.022958</sigma_Y>
</pole>
<nutation>
<dPsi>0.208175</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010912</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>22123.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.023246</X>
<sigma_X>0.016499</sigma_X>
<Y>0.019327</Y>
<sigma_Y>0.026429</sigma_Y>
</pole>
<nutation>
<dPsi>0.206413</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010493</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>22141.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.014394</X>
<sigma_X>0.017502</sigma_X>
<Y>0.020402</Y>
<sigma_Y>0.023666</sigma_Y>
</pole>
<nutation>
<dPsi>0.204248</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011089</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>22160.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000270</X>
<sigma_X>0.015001</sigma_X>
<Y>0.010912</Y>
<sigma_Y>0.021094</sigma_Y>
</pole>
<nutation>
<dPsi>0.200828</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011586</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>22178.400</MJD>
</time>
<dataEOP>
<pole>
<X>-0.009634</X>
<sigma_X>0.013829</sigma_X>
<Y>-0.011582</Y>
<sigma_Y>0.017846</sigma_Y>
</pole>
<nutation>
<dPsi>0.198211</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011188</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>22196.662</MJD>
</time>
<dataEOP>
<pole>
<X>-0.043078</X>
<sigma_X>0.014112</sigma_X>
<Y>0.013824</Y>
<sigma_Y>0.020420</sigma_Y>
</pole>
<nutation>
<dPsi>0.197134</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011740</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>22214.925</MJD>
</time>
<dataEOP>
<pole>
<X>-0.057933</X>
<sigma_X>0.018132</sigma_X>
<Y>0.016426</Y>
<sigma_Y>0.025631</sigma_Y>
</pole>
<nutation>
<dPsi>0.195545</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011495</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>22233.187</MJD>
</time>
<dataEOP>
<pole>
<X>-0.087021</X>
<sigma_X>0.019795</sigma_X>
<Y>0.058650</Y>
<sigma_Y>0.021353</sigma_Y>
</pole>
<nutation>
<dPsi>0.197421</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011225</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>22251.450</MJD>
</time>
<dataEOP>
<pole>
<X>-0.092675</X>
<sigma_X>0.026339</sigma_X>
<Y>0.067591</Y>
<sigma_Y>0.029050</sigma_Y>
</pole>
<nutation>
<dPsi>0.198958</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012428</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>22269.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.090438</X>
<sigma_X>0.027288</sigma_X>
<Y>0.104390</Y>
<sigma_Y>0.025681</sigma_Y>
</pole>
<nutation>
<dPsi>0.200948</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012916</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>22287.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.106041</X>
<sigma_X>0.021217</sigma_X>
<Y>0.106686</Y>
<sigma_Y>0.033872</sigma_Y>
</pole>
<nutation>
<dPsi>0.202502</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013614</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1919</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>22306.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.095495</X>
<sigma_X>0.030412</sigma_X>
<Y>0.169851</Y>
<sigma_Y>0.032302</sigma_Y>
</pole>
<nutation>
<dPsi>0.203744</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014145</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>22324.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.036437</X>
<sigma_X>0.037321</sigma_X>
<Y>0.176180</Y>
<sigma_Y>0.048591</sigma_Y>
</pole>
<nutation>
<dPsi>0.203130</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015343</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>22342.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.063410</X>
<sigma_X>0.021601</sigma_X>
<Y>0.220903</Y>
<sigma_Y>0.030238</sigma_Y>
</pole>
<nutation>
<dPsi>0.203624</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014158</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>22361.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007071</X>
<sigma_X>0.023358</sigma_X>
<Y>0.212492</Y>
<sigma_Y>0.031569</sigma_Y>
</pole>
<nutation>
<dPsi>0.203478</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014098</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>22379.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.034382</X>
<sigma_X>0.022150</sigma_X>
<Y>0.209086</Y>
<sigma_Y>0.026914</sigma_Y>
</pole>
<nutation>
<dPsi>0.203386</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013127</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>22397.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.001560</X>
<sigma_X>0.020936</sigma_X>
<Y>0.248970</Y>
<sigma_Y>0.026790</sigma_Y>
</pole>
<nutation>
<dPsi>0.203656</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011288</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>22415.812</MJD>
</time>
<dataEOP>
<pole>
<X>0.044246</X>
<sigma_X>0.028671</sigma_X>
<Y>0.191047</Y>
<sigma_Y>0.033418</sigma_Y>
</pole>
<nutation>
<dPsi>0.204901</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010895</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>22434.075</MJD>
</time>
<dataEOP>
<pole>
<X>0.108971</X>
<sigma_X>0.022140</sigma_X>
<Y>0.213045</Y>
<sigma_Y>0.025547</sigma_Y>
</pole>
<nutation>
<dPsi>0.204874</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010202</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>22452.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.097658</X>
<sigma_X>0.021930</sigma_X>
<Y>0.154223</Y>
<sigma_Y>0.026077</sigma_Y>
</pole>
<nutation>
<dPsi>0.204651</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009275</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>22470.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.126883</X>
<sigma_X>0.021357</sigma_X>
<Y>0.154583</Y>
<sigma_Y>0.024712</sigma_Y>
</pole>
<nutation>
<dPsi>0.203690</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010008</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>22488.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.183923</X>
<sigma_X>0.021796</sigma_X>
<Y>0.098771</Y>
<sigma_Y>0.024685</sigma_Y>
</pole>
<nutation>
<dPsi>0.200774</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010407</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>22507.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.177641</X>
<sigma_X>0.019649</sigma_X>
<Y>0.092687</Y>
<sigma_Y>0.027592</sigma_Y>
</pole>
<nutation>
<dPsi>0.198376</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010168</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>22525.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.154215</X>
<sigma_X>0.017927</sigma_X>
<Y>0.030552</Y>
<sigma_Y>0.020473</sigma_Y>
</pole>
<nutation>
<dPsi>0.195270</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010529</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>22543.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.128472</X>
<sigma_X>0.021853</sigma_X>
<Y>-0.000597</Y>
<sigma_Y>0.024721</sigma_Y>
</pole>
<nutation>
<dPsi>0.192921</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010549</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>22561.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.125526</X>
<sigma_X>0.019864</sigma_X>
<Y>0.003205</Y>
<sigma_Y>0.027908</sigma_Y>
</pole>
<nutation>
<dPsi>0.191482</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010364</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>22580.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.098839</X>
<sigma_X>0.019640</sigma_X>
<Y>-0.047337</Y>
<sigma_Y>0.021607</sigma_Y>
</pole>
<nutation>
<dPsi>0.191003</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010895</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>22598.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.019419</X>
<sigma_X>0.021185</sigma_X>
<Y>-0.047353</Y>
<sigma_Y>0.023316</sigma_Y>
</pole>
<nutation>
<dPsi>0.191019</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011029</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>22616.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.012132</X>
<sigma_X>0.022459</sigma_X>
<Y>-0.036857</Y>
<sigma_Y>0.023837</sigma_Y>
</pole>
<nutation>
<dPsi>0.194104</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011316</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>22634.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028594</X>
<sigma_X>0.022377</sigma_X>
<Y>-0.075141</Y>
<sigma_Y>0.024847</sigma_Y>
</pole>
<nutation>
<dPsi>0.195108</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012478</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>22653.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.030452</X>
<sigma_X>0.030005</sigma_X>
<Y>-0.024691</Y>
<sigma_Y>0.037273</sigma_Y>
</pole>
<nutation>
<dPsi>0.197105</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013381</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>22671.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.128307</X>
<sigma_X>0.027893</sigma_X>
<Y>-0.001076</Y>
<sigma_Y>0.033557</sigma_Y>
</pole>
<nutation>
<dPsi>0.198127</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013671</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1920</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>22689.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.168531</X>
<sigma_X>0.024686</sigma_X>
<Y>0.082289</Y>
<sigma_Y>0.024970</sigma_Y>
</pole>
<nutation>
<dPsi>0.198299</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014056</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>22708.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.155533</X>
<sigma_X>0.023768</sigma_X>
<Y>0.087560</Y>
<sigma_Y>0.031889</sigma_Y>
</pole>
<nutation>
<dPsi>0.197592</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013932</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>22726.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.183089</X>
<sigma_X>0.027024</sigma_X>
<Y>0.126509</Y>
<sigma_Y>0.033577</sigma_Y>
</pole>
<nutation>
<dPsi>0.197630</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012952</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>22744.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.157243</X>
<sigma_X>0.032764</sigma_X>
<Y>0.196498</Y>
<sigma_Y>0.033931</sigma_Y>
</pole>
<nutation>
<dPsi>0.197737</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012226</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>22762.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.130035</X>
<sigma_X>0.020817</sigma_X>
<Y>0.163053</Y>
<sigma_Y>0.029152</sigma_Y>
</pole>
<nutation>
<dPsi>0.198421</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010991</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>22781.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.056453</X>
<sigma_X>0.022978</sigma_X>
<Y>0.171463</Y>
<sigma_Y>0.026887</sigma_Y>
</pole>
<nutation>
<dPsi>0.198533</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009770</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>22799.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.021695</X>
<sigma_X>0.021969</sigma_X>
<Y>0.211535</Y>
<sigma_Y>0.032815</sigma_Y>
</pole>
<nutation>
<dPsi>0.199743</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009843</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>22817.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.039264</X>
<sigma_X>0.018778</sigma_X>
<Y>0.225596</Y>
<sigma_Y>0.026779</sigma_Y>
</pole>
<nutation>
<dPsi>0.198698</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009159</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>22835.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.088978</X>
<sigma_X>0.025937</sigma_X>
<Y>0.222157</Y>
<sigma_Y>0.028125</sigma_Y>
</pole>
<nutation>
<dPsi>0.197640</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009112</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>22854.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.149039</X>
<sigma_X>0.017848</sigma_X>
<Y>0.150940</Y>
<sigma_Y>0.022211</sigma_Y>
</pole>
<nutation>
<dPsi>0.195233</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009790</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>22872.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.151025</X>
<sigma_X>0.026846</sigma_X>
<Y>0.131317</Y>
<sigma_Y>0.036670</sigma_Y>
</pole>
<nutation>
<dPsi>0.191496</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009817</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>22890.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.183215</X>
<sigma_X>0.019899</sigma_X>
<Y>0.099603</Y>
<sigma_Y>0.023524</sigma_Y>
</pole>
<nutation>
<dPsi>0.189471</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009800</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>22908.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.182696</X>
<sigma_X>0.013927</sigma_X>
<Y>0.068333</Y>
<sigma_Y>0.021705</sigma_Y>
</pole>
<nutation>
<dPsi>0.186556</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010103</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>22927.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.185589</X>
<sigma_X>0.018331</sigma_X>
<Y>0.022702</Y>
<sigma_Y>0.025423</sigma_Y>
</pole>
<nutation>
<dPsi>0.185131</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009638</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>22945.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.150958</X>
<sigma_X>0.022864</sigma_X>
<Y>-0.039209</Y>
<sigma_Y>0.029578</sigma_Y>
</pole>
<nutation>
<dPsi>0.185265</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009952</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>22963.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.126973</X>
<sigma_X>0.018245</sigma_X>
<Y>-0.088325</Y>
<sigma_Y>0.021734</sigma_Y>
</pole>
<nutation>
<dPsi>0.185650</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010662</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>22981.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.074810</X>
<sigma_X>0.020496</sigma_X>
<Y>-0.075436</Y>
<sigma_Y>0.022367</sigma_Y>
</pole>
<nutation>
<dPsi>0.186899</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011141</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>23000.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.059075</X>
<sigma_X>0.025478</sigma_X>
<Y>-0.071378</Y>
<sigma_Y>0.025368</sigma_Y>
</pole>
<nutation>
<dPsi>0.190232</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011512</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>23018.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.018662</X>
<sigma_X>0.025333</sigma_X>
<Y>0.037482</Y>
<sigma_Y>0.037372</sigma_Y>
</pole>
<nutation>
<dPsi>0.190905</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013095</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1921</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>23036.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016836</X>
<sigma_X>0.026169</sigma_X>
<Y>0.009182</Y>
<sigma_Y>0.032514</sigma_Y>
</pole>
<nutation>
<dPsi>0.192094</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013764</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>23055.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.027238</X>
<sigma_X>0.032743</sigma_X>
<Y>0.021063</Y>
<sigma_Y>0.025509</sigma_Y>
</pole>
<nutation>
<dPsi>0.192358</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013877</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>23073.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.104564</X>
<sigma_X>0.036217</sigma_X>
<Y>0.005237</Y>
<sigma_Y>0.034372</sigma_Y>
</pole>
<nutation>
<dPsi>0.192050</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013984</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>23091.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.144654</X>
<sigma_X>0.026679</sigma_X>
<Y>0.063905</Y>
<sigma_Y>0.028503</sigma_Y>
</pole>
<nutation>
<dPsi>0.191151</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012734</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>23109.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.126594</X>
<sigma_X>0.023405</sigma_X>
<Y>0.102065</Y>
<sigma_Y>0.028306</sigma_Y>
</pole>
<nutation>
<dPsi>0.191387</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011977</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>23128.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.122516</X>
<sigma_X>0.026752</sigma_X>
<Y>0.178766</Y>
<sigma_Y>0.027556</sigma_Y>
</pole>
<nutation>
<dPsi>0.192258</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011059</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>23146.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.104073</X>
<sigma_X>0.024925</sigma_X>
<Y>0.257151</Y>
<sigma_Y>0.034495</sigma_Y>
</pole>
<nutation>
<dPsi>0.192425</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009849</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>23164.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.083242</X>
<sigma_X>0.023388</sigma_X>
<Y>0.275053</Y>
<sigma_Y>0.024622</sigma_Y>
</pole>
<nutation>
<dPsi>0.192325</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009132</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>23182.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.057097</X>
<sigma_X>0.028567</sigma_X>
<Y>0.275368</Y>
<sigma_Y>0.026950</sigma_Y>
</pole>
<nutation>
<dPsi>0.192812</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009968</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>23201.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.023685</X>
<sigma_X>0.019413</sigma_X>
<Y>0.285546</Y>
<sigma_Y>0.024014</sigma_Y>
</pole>
<nutation>
<dPsi>0.190754</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009266</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>23219.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.084175</X>
<sigma_X>0.016990</sigma_X>
<Y>0.269076</Y>
<sigma_Y>0.023071</sigma_Y>
</pole>
<nutation>
<dPsi>0.188902</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009490</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>23237.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.109849</X>
<sigma_X>0.018058</sigma_X>
<Y>0.218691</Y>
<sigma_Y>0.022065</sigma_Y>
</pole>
<nutation>
<dPsi>0.186123</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010203</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>23255.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.168284</X>
<sigma_X>0.017014</sigma_X>
<Y>0.150772</Y>
<sigma_Y>0.024457</sigma_Y>
</pole>
<nutation>
<dPsi>0.181845</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010074</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>23274.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.218730</X>
<sigma_X>0.016419</sigma_X>
<Y>0.129272</Y>
<sigma_Y>0.019420</sigma_Y>
</pole>
<nutation>
<dPsi>0.180810</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009960</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>23292.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.207540</X>
<sigma_X>0.017543</sigma_X>
<Y>0.094147</Y>
<sigma_Y>0.021967</sigma_Y>
</pole>
<nutation>
<dPsi>0.178510</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010438</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>23310.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.218399</X>
<sigma_X>0.020093</sigma_X>
<Y>0.038660</Y>
<sigma_Y>0.021392</sigma_Y>
</pole>
<nutation>
<dPsi>0.178042</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009900</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>23328.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.201628</X>
<sigma_X>0.023053</sigma_X>
<Y>-0.000352</Y>
<sigma_Y>0.023143</sigma_Y>
</pole>
<nutation>
<dPsi>0.179326</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010366</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>23347.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.170945</X>
<sigma_X>0.019947</sigma_X>
<Y>-0.051111</Y>
<sigma_Y>0.019168</sigma_Y>
</pole>
<nutation>
<dPsi>0.181068</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011622</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>23365.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.136171</X>
<sigma_X>0.025222</sigma_X>
<Y>-0.025978</Y>
<sigma_Y>0.026340</sigma_Y>
</pole>
<nutation>
<dPsi>0.182588</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012217</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>23383.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.075091</X>
<sigma_X>0.025674</sigma_X>
<Y>-0.031531</Y>
<sigma_Y>0.023975</sigma_Y>
</pole>
<nutation>
<dPsi>0.184818</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012515</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1922</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>23401.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.006980</X>
<sigma_X>0.038460</sigma_X>
<Y>-0.064856</Y>
<sigma_Y>0.042187</sigma_Y>
</pole>
<nutation>
<dPsi>0.185729</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014273</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>23420.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.041528</X>
<sigma_X>0.030182</sigma_X>
<Y>-0.023845</Y>
<sigma_Y>0.034743</sigma_Y>
</pole>
<nutation>
<dPsi>0.185709</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014365</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>23438.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.092653</X>
<sigma_X>0.025040</sigma_X>
<Y>-0.040576</Y>
<sigma_Y>0.026611</sigma_Y>
</pole>
<nutation>
<dPsi>0.185761</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014017</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>23456.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.152866</X>
<sigma_X>0.030788</sigma_X>
<Y>-0.000633</Y>
<sigma_Y>0.028011</sigma_Y>
</pole>
<nutation>
<dPsi>0.185919</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013670</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>23475.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.166650</X>
<sigma_X>0.029332</sigma_X>
<Y>0.050821</Y>
<sigma_Y>0.027588</sigma_Y>
</pole>
<nutation>
<dPsi>0.185397</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012311</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>23493.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.195187</X>
<sigma_X>0.020559</sigma_X>
<Y>0.104138</Y>
<sigma_Y>0.021933</sigma_Y>
</pole>
<nutation>
<dPsi>0.186244</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011266</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>23511.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.177563</X>
<sigma_X>0.018509</sigma_X>
<Y>0.173509</Y>
<sigma_Y>0.023101</sigma_Y>
</pole>
<nutation>
<dPsi>0.187362</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010623</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>23529.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.126548</X>
<sigma_X>0.020165</sigma_X>
<Y>0.212149</Y>
<sigma_Y>0.025191</sigma_Y>
</pole>
<nutation>
<dPsi>0.186874</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009541</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>23548.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.118386</X>
<sigma_X>0.020119</sigma_X>
<Y>0.245392</Y>
<sigma_Y>0.025254</sigma_Y>
</pole>
<nutation>
<dPsi>0.186254</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009228</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>23566.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.097362</X>
<sigma_X>0.018621</sigma_X>
<Y>0.288363</Y>
<sigma_Y>0.024905</sigma_Y>
</pole>
<nutation>
<dPsi>0.186288</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010343</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>23584.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016343</X>
<sigma_X>0.018636</sigma_X>
<Y>0.303625</Y>
<sigma_Y>0.025722</sigma_Y>
</pole>
<nutation>
<dPsi>0.183504</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009863</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>23602.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.035384</X>
<sigma_X>0.014603</sigma_X>
<Y>0.297599</Y>
<sigma_Y>0.020817</sigma_Y>
</pole>
<nutation>
<dPsi>0.180941</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009988</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>23621.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.085188</X>
<sigma_X>0.016995</sigma_X>
<Y>0.263205</Y>
<sigma_Y>0.022230</sigma_Y>
</pole>
<nutation>
<dPsi>0.178204</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010707</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>23639.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.165699</X>
<sigma_X>0.014991</sigma_X>
<Y>0.335861</Y>
<sigma_Y>0.020822</sigma_Y>
</pole>
<nutation>
<dPsi>0.174129</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010593</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>23657.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.202597</X>
<sigma_X>0.017887</sigma_X>
<Y>0.301283</Y>
<sigma_Y>0.022238</sigma_Y>
</pole>
<nutation>
<dPsi>0.173887</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010299</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>23675.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.231198</X>
<sigma_X>0.018403</sigma_X>
<Y>0.264600</Y>
<sigma_Y>0.023151</sigma_Y>
</pole>
<nutation>
<dPsi>0.172750</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010852</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>23694.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.229358</X>
<sigma_X>0.023076</sigma_X>
<Y>0.192058</Y>
<sigma_Y>0.021345</sigma_Y>
</pole>
<nutation>
<dPsi>0.173803</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010717</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>23712.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.178703</X>
<sigma_X>0.023867</sigma_X>
<Y>0.101586</Y>
<sigma_Y>0.019297</sigma_Y>
</pole>
<nutation>
<dPsi>0.175020</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011354</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>23730.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.181456</X>
<sigma_X>0.027998</sigma_X>
<Y>0.098594</Y>
<sigma_Y>0.027196</sigma_Y>
</pole>
<nutation>
<dPsi>0.177573</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013022</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>23748.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.148224</X>
<sigma_X>0.024493</sigma_X>
<Y>0.034019</Y>
<sigma_Y>0.023198</sigma_Y>
</pole>
<nutation>
<dPsi>0.178501</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013401</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1923</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>23767.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.095899</X>
<sigma_X>0.028779</sigma_X>
<Y>0.006786</Y>
<sigma_Y>0.026746</sigma_Y>
</pole>
<nutation>
<dPsi>0.179386</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013936</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>23785.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.033290</X>
<sigma_X>0.030699</sigma_X>
<Y>0.013361</Y>
<sigma_Y>0.034049</sigma_Y>
</pole>
<nutation>
<dPsi>0.180239</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014925</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>23803.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.014891</X>
<sigma_X>0.023283</sigma_X>
<Y>0.002903</Y>
<sigma_Y>0.026093</sigma_Y>
</pole>
<nutation>
<dPsi>0.179835</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014679</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>23822.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.033971</X>
<sigma_X>0.029054</sigma_X>
<Y>0.031810</Y>
<sigma_Y>0.029075</sigma_Y>
</pole>
<nutation>
<dPsi>0.180063</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013819</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>23840.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.124221</X>
<sigma_X>0.034050</sigma_X>
<Y>0.016198</Y>
<sigma_Y>0.028298</sigma_Y>
</pole>
<nutation>
<dPsi>0.180360</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013146</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>23858.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.110399</X>
<sigma_X>0.021017</sigma_X>
<Y>0.090307</Y>
<sigma_Y>0.024396</sigma_Y>
</pole>
<nutation>
<dPsi>0.180711</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011990</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>23876.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.132672</X>
<sigma_X>0.024121</sigma_X>
<Y>0.137206</Y>
<sigma_Y>0.023961</sigma_Y>
</pole>
<nutation>
<dPsi>0.181740</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011009</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>23895.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.105756</X>
<sigma_X>0.016991</sigma_X>
<Y>0.158314</Y>
<sigma_Y>0.019453</sigma_Y>
</pole>
<nutation>
<dPsi>0.182299</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010712</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>23913.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.087569</X>
<sigma_X>0.025653</sigma_X>
<Y>0.179923</Y>
<sigma_Y>0.029842</sigma_Y>
</pole>
<nutation>
<dPsi>0.181544</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009990</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>23931.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.119563</X>
<sigma_X>0.024966</sigma_X>
<Y>0.183082</Y>
<sigma_Y>0.035091</sigma_Y>
</pole>
<nutation>
<dPsi>0.180067</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010342</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>23949.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.079168</X>
<sigma_X>0.017294</sigma_X>
<Y>0.200610</Y>
<sigma_Y>0.026755</sigma_Y>
</pole>
<nutation>
<dPsi>0.178487</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011128</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>23968.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.039222</X>
<sigma_X>0.019534</sigma_X>
<Y>0.236369</Y>
<sigma_Y>0.027176</sigma_Y>
</pole>
<nutation>
<dPsi>0.175638</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010766</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>23986.387</MJD>
</time>
<dataEOP>
<pole>
<X>-0.006584</X>
<sigma_X>0.014569</sigma_X>
<Y>0.212117</Y>
<sigma_Y>0.016253</sigma_Y>
</pole>
<nutation>
<dPsi>0.172860</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010874</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>24004.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.061200</X>
<sigma_X>0.016351</sigma_X>
<Y>0.212612</Y>
<sigma_Y>0.017242</sigma_Y>
</pole>
<nutation>
<dPsi>0.170504</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011322</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>24022.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.085013</X>
<sigma_X>0.027175</sigma_X>
<Y>0.229674</Y>
<sigma_Y>0.026885</sigma_Y>
</pole>
<nutation>
<dPsi>0.168376</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011087</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>24041.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.090290</X>
<sigma_X>0.022383</sigma_X>
<Y>0.204617</Y>
<sigma_Y>0.029254</sigma_Y>
</pole>
<nutation>
<dPsi>0.168702</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011434</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>24059.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.093640</X>
<sigma_X>0.017076</sigma_X>
<Y>0.167222</Y>
<sigma_Y>0.020806</sigma_Y>
</pole>
<nutation>
<dPsi>0.169290</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011989</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>24077.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.113285</X>
<sigma_X>0.019989</sigma_X>
<Y>0.135336</Y>
<sigma_Y>0.021335</sigma_Y>
</pole>
<nutation>
<dPsi>0.171310</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012308</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>24095.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.061355</X>
<sigma_X>0.027896</sigma_X>
<Y>0.129702</Y>
<sigma_Y>0.026156</sigma_Y>
</pole>
<nutation>
<dPsi>0.172351</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013361</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>24114.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.092712</X>
<sigma_X>0.022653</sigma_X>
<Y>0.100175</Y>
<sigma_Y>0.023163</sigma_Y>
</pole>
<nutation>
<dPsi>0.174345</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014848</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>24132.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.063295</X>
<sigma_X>0.025084</sigma_X>
<Y>0.118831</Y>
<sigma_Y>0.026441</sigma_Y>
</pole>
<nutation>
<dPsi>0.175355</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014869</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1924</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>24150.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.042342</X>
<sigma_X>0.023759</sigma_X>
<Y>0.041752</Y>
<sigma_Y>0.029176</sigma_Y>
</pole>
<nutation>
<dPsi>0.175869</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015638</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>24169.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.024171</X>
<sigma_X>0.022610</sigma_X>
<Y>0.071149</Y>
<sigma_Y>0.032961</sigma_Y>
</pole>
<nutation>
<dPsi>0.176032</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015391</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>24187.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.011180</X>
<sigma_X>0.024341</sigma_X>
<Y>0.062018</Y>
<sigma_Y>0.026718</sigma_Y>
</pole>
<nutation>
<dPsi>0.176108</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014835</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>24205.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.056893</X>
<sigma_X>0.027215</sigma_X>
<Y>0.017254</Y>
<sigma_Y>0.021890</sigma_Y>
</pole>
<nutation>
<dPsi>0.176494</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013760</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>24223.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.048841</X>
<sigma_X>0.026857</sigma_X>
<Y>0.023194</Y>
<sigma_Y>0.023188</sigma_Y>
</pole>
<nutation>
<dPsi>0.176652</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013054</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>24242.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.067697</X>
<sigma_X>0.025708</sigma_X>
<Y>0.065650</Y>
<sigma_Y>0.026142</sigma_Y>
</pole>
<nutation>
<dPsi>0.177625</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011944</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>24260.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.063427</X>
<sigma_X>0.022130</sigma_X>
<Y>0.126265</Y>
<sigma_Y>0.022824</sigma_Y>
</pole>
<nutation>
<dPsi>0.178406</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011757</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>24278.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.025199</X>
<sigma_X>0.038346</sigma_X>
<Y>0.114407</Y>
<sigma_Y>0.030685</sigma_Y>
</pole>
<nutation>
<dPsi>0.177762</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011594</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>24296.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007963</X>
<sigma_X>0.024675</sigma_X>
<Y>0.129955</Y>
<sigma_Y>0.026309</sigma_Y>
</pole>
<nutation>
<dPsi>0.176674</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011276</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>24315.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.013043</X>
<sigma_X>0.018396</sigma_X>
<Y>0.146928</Y>
<sigma_Y>0.020868</sigma_Y>
</pole>
<nutation>
<dPsi>0.174429</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011833</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>24333.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000958</X>
<sigma_X>0.022078</sigma_X>
<Y>0.137149</Y>
<sigma_Y>0.025017</sigma_Y>
</pole>
<nutation>
<dPsi>0.170749</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012150</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>24351.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.001460</X>
<sigma_X>0.017216</sigma_X>
<Y>0.154080</Y>
<sigma_Y>0.021161</sigma_Y>
</pole>
<nutation>
<dPsi>0.168809</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011567</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>24369.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.040757</X>
<sigma_X>0.021246</sigma_X>
<Y>0.148547</Y>
<sigma_Y>0.024782</sigma_Y>
</pole>
<nutation>
<dPsi>0.166148</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011968</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>24388.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.056621</X>
<sigma_X>0.017784</sigma_X>
<Y>0.120019</Y>
<sigma_Y>0.017914</sigma_Y>
</pole>
<nutation>
<dPsi>0.165063</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012176</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>24406.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.066542</X>
<sigma_X>0.022862</sigma_X>
<Y>0.082979</Y>
<sigma_Y>0.023230</sigma_Y>
</pole>
<nutation>
<dPsi>0.164574</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012024</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>24424.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.052418</X>
<sigma_X>0.031870</sigma_X>
<Y>0.076179</Y>
<sigma_Y>0.029760</sigma_Y>
</pole>
<nutation>
<dPsi>0.165483</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013349</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>24442.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.061815</X>
<sigma_X>0.021219</sigma_X>
<Y>0.096823</Y>
<sigma_Y>0.025912</sigma_Y>
</pole>
<nutation>
<dPsi>0.167354</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013790</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>24461.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017937</X>
<sigma_X>0.034455</sigma_X>
<Y>0.053560</Y>
<sigma_Y>0.032842</sigma_Y>
</pole>
<nutation>
<dPsi>0.169372</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014467</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>24479.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.039876</X>
<sigma_X>0.024486</sigma_X>
<Y>0.065348</Y>
<sigma_Y>0.026098</sigma_Y>
</pole>
<nutation>
<dPsi>0.170464</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015626</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1925</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>24497.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.055152</X>
<sigma_X>0.035557</sigma_X>
<Y>0.074578</Y>
<sigma_Y>0.028611</sigma_Y>
</pole>
<nutation>
<dPsi>0.171064</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016670</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>24516.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.085022</X>
<sigma_X>0.028137</sigma_X>
<Y>0.005547</Y>
<sigma_Y>0.027335</sigma_Y>
</pole>
<nutation>
<dPsi>0.172362</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016291</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>24534.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.068623</X>
<sigma_X>0.030555</sigma_X>
<Y>0.003710</Y>
<sigma_Y>0.031759</sigma_Y>
</pole>
<nutation>
<dPsi>0.172702</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016621</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>24552.525</MJD>
</time>
<dataEOP>
<pole>
<X>0.013637</X>
<sigma_X>0.039390</sigma_X>
<Y>0.038804</Y>
<sigma_Y>0.033450</sigma_Y>
</pole>
<nutation>
<dPsi>0.172706</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015679</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>24570.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.100298</X>
<sigma_X>0.029117</sigma_X>
<Y>0.046299</Y>
<sigma_Y>0.023073</sigma_Y>
</pole>
<nutation>
<dPsi>0.173589</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014784</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>24589.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.142097</X>
<sigma_X>0.029353</sigma_X>
<Y>0.064758</Y>
<sigma_Y>0.028862</sigma_Y>
</pole>
<nutation>
<dPsi>0.174397</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013932</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>24607.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.108656</X>
<sigma_X>0.017391</sigma_X>
<Y>0.109802</Y>
<sigma_Y>0.020206</sigma_Y>
</pole>
<nutation>
<dPsi>0.174581</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013353</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>24625.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.105530</X>
<sigma_X>0.026715</sigma_X>
<Y>0.143585</Y>
<sigma_Y>0.023959</sigma_Y>
</pole>
<nutation>
<dPsi>0.175276</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012472</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>24643.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.102795</X>
<sigma_X>0.026533</sigma_X>
<Y>0.163352</Y>
<sigma_Y>0.026603</sigma_Y>
</pole>
<nutation>
<dPsi>0.175716</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012876</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>24662.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.087025</X>
<sigma_X>0.024680</sigma_X>
<Y>0.170322</Y>
<sigma_Y>0.022432</sigma_Y>
</pole>
<nutation>
<dPsi>0.173928</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012732</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>24680.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.054543</X>
<sigma_X>0.026273</sigma_X>
<Y>0.170727</Y>
<sigma_Y>0.025047</sigma_Y>
</pole>
<nutation>
<dPsi>0.172609</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012572</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>24698.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017157</X>
<sigma_X>0.018102</sigma_X>
<Y>0.205251</Y>
<sigma_Y>0.018921</sigma_Y>
</pole>
<nutation>
<dPsi>0.169803</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012947</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>24716.887</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008015</X>
<sigma_X>0.019554</sigma_X>
<Y>0.173430</Y>
<sigma_Y>0.021138</sigma_Y>
</pole>
<nutation>
<dPsi>0.165542</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013327</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>24735.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.030119</X>
<sigma_X>0.027305</sigma_X>
<Y>0.205892</Y>
<sigma_Y>0.024394</sigma_Y>
</pole>
<nutation>
<dPsi>0.164631</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012556</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>24753.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.051915</X>
<sigma_X>0.023890</sigma_X>
<Y>0.224505</Y>
<sigma_Y>0.025916</sigma_Y>
</pole>
<nutation>
<dPsi>0.162569</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013202</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>24771.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.037418</X>
<sigma_X>0.020707</sigma_X>
<Y>0.181389</Y>
<sigma_Y>0.026547</sigma_Y>
</pole>
<nutation>
<dPsi>0.162981</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013329</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>24789.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.055200</X>
<sigma_X>0.028321</sigma_X>
<Y>0.142910</Y>
<sigma_Y>0.027261</sigma_Y>
</pole>
<nutation>
<dPsi>0.163367</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013621</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>24808.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.035837</X>
<sigma_X>0.026290</sigma_X>
<Y>0.144298</Y>
<sigma_Y>0.020371</sigma_Y>
</pole>
<nutation>
<dPsi>0.165153</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015321</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>24826.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.028649</X>
<sigma_X>0.040114</sigma_X>
<Y>0.166940</Y>
<sigma_Y>0.035811</sigma_Y>
</pole>
<nutation>
<dPsi>0.167230</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015715</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>24844.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.038855</X>
<sigma_X>0.044624</sigma_X>
<Y>0.142250</Y>
<sigma_Y>0.036649</sigma_Y>
</pole>
<nutation>
<dPsi>0.168974</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016517</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1926</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>24862.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.003329</X>
<sigma_X>0.033370</sigma_X>
<Y>0.129172</Y>
<sigma_Y>0.032490</sigma_Y>
</pole>
<nutation>
<dPsi>0.169738</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017369</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>24881.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000008</X>
<sigma_X>0.031623</sigma_X>
<Y>0.158488</Y>
<sigma_Y>0.028228</sigma_Y>
</pole>
<nutation>
<dPsi>0.169384</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017979</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>24899.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.050386</X>
<sigma_X>0.031598</sigma_X>
<Y>0.164803</Y>
<sigma_Y>0.025847</sigma_Y>
</pole>
<nutation>
<dPsi>0.170779</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017094</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>24917.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.029113</X>
<sigma_X>0.027775</sigma_X>
<Y>0.102153</Y>
<sigma_Y>0.029769</sigma_Y>
</pole>
<nutation>
<dPsi>0.171029</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016794</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>24936.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.036998</X>
<sigma_X>0.031365</sigma_X>
<Y>0.086869</Y>
<sigma_Y>0.032376</sigma_Y>
</pole>
<nutation>
<dPsi>0.171221</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015875</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>24954.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007503</X>
<sigma_X>0.023563</sigma_X>
<Y>0.131803</Y>
<sigma_Y>0.024064</sigma_Y>
</pole>
<nutation>
<dPsi>0.172688</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014784</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>24972.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.029571</X>
<sigma_X>0.021454</sigma_X>
<Y>0.152448</Y>
<sigma_Y>0.024299</sigma_Y>
</pole>
<nutation>
<dPsi>0.173579</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014254</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>24990.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.009674</X>
<sigma_X>0.022719</sigma_X>
<Y>0.157646</Y>
<sigma_Y>0.024215</sigma_Y>
</pole>
<nutation>
<dPsi>0.173535</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013644</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>25009.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.019695</X>
<sigma_X>0.026502</sigma_X>
<Y>0.135165</Y>
<sigma_Y>0.030473</sigma_Y>
</pole>
<nutation>
<dPsi>0.173608</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013042</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>25027.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.033035</X>
<sigma_X>0.024979</sigma_X>
<Y>0.185947</Y>
<sigma_Y>0.021731</sigma_Y>
</pole>
<nutation>
<dPsi>0.173044</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013702</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>25045.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.018140</X>
<sigma_X>0.021714</sigma_X>
<Y>0.169277</Y>
<sigma_Y>0.018744</sigma_Y>
</pole>
<nutation>
<dPsi>0.170244</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013598</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>25063.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.034749</X>
<sigma_X>0.018860</sigma_X>
<Y>0.151473</Y>
<sigma_Y>0.020140</sigma_Y>
</pole>
<nutation>
<dPsi>0.168467</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013340</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>25082.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.028662</X>
<sigma_X>0.019570</sigma_X>
<Y>0.169138</Y>
<sigma_Y>0.020546</sigma_Y>
</pole>
<nutation>
<dPsi>0.165203</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013713</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>25100.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.043952</X>
<sigma_X>0.017395</sigma_X>
<Y>0.119859</Y>
<sigma_Y>0.021819</sigma_Y>
</pole>
<nutation>
<dPsi>0.161727</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014105</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>25118.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.051298</X>
<sigma_X>0.018765</sigma_X>
<Y>0.103416</Y>
<sigma_Y>0.022665</sigma_Y>
</pole>
<nutation>
<dPsi>0.161634</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013576</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>25136.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.040919</X>
<sigma_X>0.021842</sigma_X>
<Y>0.090994</Y>
<sigma_Y>0.020887</sigma_Y>
</pole>
<nutation>
<dPsi>0.161049</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014086</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>25155.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.009074</X>
<sigma_X>0.017576</sigma_X>
<Y>0.100848</Y>
<sigma_Y>0.018116</sigma_Y>
</pole>
<nutation>
<dPsi>0.162372</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014406</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>25173.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.026007</X>
<sigma_X>0.016501</sigma_X>
<Y>0.081233</Y>
<sigma_Y>0.017260</sigma_Y>
</pole>
<nutation>
<dPsi>0.163762</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015233</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>25191.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.014552</X>
<sigma_X>0.025725</sigma_X>
<Y>0.066866</Y>
<sigma_Y>0.028099</sigma_Y>
</pole>
<nutation>
<dPsi>0.165604</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016753</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>25209.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.054896</X>
<sigma_X>0.023733</sigma_X>
<Y>0.116265</Y>
<sigma_Y>0.024744</sigma_Y>
</pole>
<nutation>
<dPsi>0.167334</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017040</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1927</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>25228.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.086723</X>
<sigma_X>0.035798</sigma_X>
<Y>0.105403</Y>
<sigma_Y>0.028357</sigma_Y>
</pole>
<nutation>
<dPsi>0.169052</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017594</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>25246.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.055521</X>
<sigma_X>0.043290</sigma_X>
<Y>0.134315</Y>
<sigma_Y>0.021620</sigma_Y>
</pole>
<nutation>
<dPsi>0.169445</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018145</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>25264.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.092663</X>
<sigma_X>0.025140</sigma_X>
<Y>0.117574</Y>
<sigma_Y>0.026278</sigma_Y>
</pole>
<nutation>
<dPsi>0.168954</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018131</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>25283.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.098643</X>
<sigma_X>0.025333</sigma_X>
<Y>0.135507</Y>
<sigma_Y>0.035421</sigma_Y>
</pole>
<nutation>
<dPsi>0.170164</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017126</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>25301.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.050876</X>
<sigma_X>0.025597</sigma_X>
<Y>0.140430</Y>
<sigma_Y>0.024824</sigma_Y>
</pole>
<nutation>
<dPsi>0.170256</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016497</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>25319.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.066386</X>
<sigma_X>0.022345</sigma_X>
<Y>0.173166</Y>
<sigma_Y>0.023552</sigma_Y>
</pole>
<nutation>
<dPsi>0.170809</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015624</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>25337.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.078249</X>
<sigma_X>0.023788</sigma_X>
<Y>0.133661</Y>
<sigma_Y>0.022491</sigma_Y>
</pole>
<nutation>
<dPsi>0.172540</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014462</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>25356.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.047264</X>
<sigma_X>0.026126</sigma_X>
<Y>0.150187</Y>
<sigma_Y>0.029525</sigma_Y>
</pole>
<nutation>
<dPsi>0.172772</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014236</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>25374.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.042093</X>
<sigma_X>0.021414</sigma_X>
<Y>0.201866</Y>
<sigma_Y>0.025245</sigma_Y>
</pole>
<nutation>
<dPsi>0.172520</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013541</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>25392.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.026128</X>
<sigma_X>0.017231</sigma_X>
<Y>0.225574</Y>
<sigma_Y>0.023072</sigma_Y>
</pole>
<nutation>
<dPsi>0.171862</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013270</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>25410.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.024224</X>
<sigma_X>0.017522</sigma_X>
<Y>0.178961</Y>
<sigma_Y>0.024198</sigma_Y>
</pole>
<nutation>
<dPsi>0.169655</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014000</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>25429.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000513</X>
<sigma_X>0.017302</sigma_X>
<Y>0.148403</Y>
<sigma_Y>0.024000</sigma_Y>
</pole>
<nutation>
<dPsi>0.166375</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013676</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>25447.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.012783</X>
<sigma_X>0.015238</sigma_X>
<Y>0.177322</Y>
<sigma_Y>0.018807</sigma_Y>
</pole>
<nutation>
<dPsi>0.164243</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013671</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>25465.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.050511</X>
<sigma_X>0.017636</sigma_X>
<Y>0.149525</Y>
<sigma_Y>0.022810</sigma_Y>
</pole>
<nutation>
<dPsi>0.161600</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014015</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>25483.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.057750</X>
<sigma_X>0.018187</sigma_X>
<Y>0.137969</Y>
<sigma_Y>0.021883</sigma_Y>
</pole>
<nutation>
<dPsi>0.159828</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014296</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>25502.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.042327</X>
<sigma_X>0.021547</sigma_X>
<Y>0.123490</Y>
<sigma_Y>0.025103</sigma_Y>
</pole>
<nutation>
<dPsi>0.160454</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014617</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>25520.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.011709</X>
<sigma_X>0.022932</sigma_X>
<Y>0.144017</Y>
<sigma_Y>0.024954</sigma_Y>
</pole>
<nutation>
<dPsi>0.161082</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014837</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>25538.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.047162</X>
<sigma_X>0.026349</sigma_X>
<Y>0.125876</Y>
<sigma_Y>0.022760</sigma_Y>
</pole>
<nutation>
<dPsi>0.163047</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015420</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>25556.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.102094</X>
<sigma_X>0.047752</sigma_X>
<Y>0.145862</Y>
<sigma_Y>0.034508</sigma_Y>
</pole>
<nutation>
<dPsi>0.165143</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016391</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>25575.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.046219</X>
<sigma_X>0.024909</sigma_X>
<Y>0.151762</Y>
<sigma_Y>0.032162</sigma_Y>
</pole>
<nutation>
<dPsi>0.166288</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017567</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>25593.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.059129</X>
<sigma_X>0.032173</sigma_X>
<Y>0.210542</Y>
<sigma_Y>0.030107</sigma_Y>
</pole>
<nutation>
<dPsi>0.167812</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017501</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1928</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>25611.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.088372</X>
<sigma_X>0.035678</sigma_X>
<Y>0.202772</Y>
<sigma_Y>0.030150</sigma_Y>
</pole>
<nutation>
<dPsi>0.169095</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018031</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>25630.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.114954</X>
<sigma_X>0.034290</sigma_X>
<Y>0.218470</Y>
<sigma_Y>0.032053</sigma_Y>
</pole>
<nutation>
<dPsi>0.169150</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018155</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>25648.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.033094</X>
<sigma_X>0.034600</sigma_X>
<Y>0.243867</Y>
<sigma_Y>0.025639</sigma_Y>
</pole>
<nutation>
<dPsi>0.168870</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017340</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>25666.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.039462</X>
<sigma_X>0.028276</sigma_X>
<Y>0.213498</Y>
<sigma_Y>0.025394</sigma_Y>
</pole>
<nutation>
<dPsi>0.169947</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016562</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>25684.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.042640</X>
<sigma_X>0.019722</sigma_X>
<Y>0.187739</Y>
<sigma_Y>0.021934</sigma_Y>
</pole>
<nutation>
<dPsi>0.169915</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015744</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>25703.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.006607</X>
<sigma_X>0.026232</sigma_X>
<Y>0.238627</Y>
<sigma_Y>0.028072</sigma_Y>
</pole>
<nutation>
<dPsi>0.171084</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014859</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>25721.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.019981</X>
<sigma_X>0.027478</sigma_X>
<Y>0.269670</Y>
<sigma_Y>0.030468</sigma_Y>
</pole>
<nutation>
<dPsi>0.172477</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013880</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>25739.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.039076</X>
<sigma_X>0.028725</sigma_X>
<Y>0.264832</Y>
<sigma_Y>0.027022</sigma_Y>
</pole>
<nutation>
<dPsi>0.171350</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014050</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>25757.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.078754</X>
<sigma_X>0.022042</sigma_X>
<Y>0.226868</Y>
<sigma_Y>0.027853</sigma_Y>
</pole>
<nutation>
<dPsi>0.170695</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013289</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>25776.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.106310</X>
<sigma_X>0.017114</sigma_X>
<Y>0.203783</Y>
<sigma_Y>0.025667</sigma_Y>
</pole>
<nutation>
<dPsi>0.168915</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013503</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>25794.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.130412</X>
<sigma_X>0.017624</sigma_X>
<Y>0.227928</Y>
<sigma_Y>0.023403</sigma_Y>
</pole>
<nutation>
<dPsi>0.165609</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013906</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>25812.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.140740</X>
<sigma_X>0.013697</sigma_X>
<Y>0.173686</Y>
<sigma_Y>0.021295</sigma_Y>
</pole>
<nutation>
<dPsi>0.162939</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013296</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>25830.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.110649</X>
<sigma_X>0.016224</sigma_X>
<Y>0.124609</Y>
<sigma_Y>0.019487</sigma_Y>
</pole>
<nutation>
<dPsi>0.161120</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013902</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>25849.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.139793</X>
<sigma_X>0.016686</sigma_X>
<Y>0.095754</Y>
<sigma_Y>0.018385</sigma_Y>
</pole>
<nutation>
<dPsi>0.159819</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014081</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>25867.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.126322</X>
<sigma_X>0.032056</sigma_X>
<Y>0.087406</Y>
<sigma_Y>0.027924</sigma_Y>
</pole>
<nutation>
<dPsi>0.159542</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014434</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>25885.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.053999</X>
<sigma_X>0.022106</sigma_X>
<Y>0.043406</Y>
<sigma_Y>0.024667</sigma_Y>
</pole>
<nutation>
<dPsi>0.160956</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015427</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>25903.950</MJD>
</time>
<dataEOP>
<pole>
<X>-0.022489</X>
<sigma_X>0.022702</sigma_X>
<Y>0.024729</Y>
<sigma_Y>0.020442</sigma_Y>
</pole>
<nutation>
<dPsi>0.162039</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015530</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>25922.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.054876</X>
<sigma_X>0.028158</sigma_X>
<Y>0.038396</Y>
<sigma_Y>0.025304</sigma_Y>
</pole>
<nutation>
<dPsi>0.164666</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016104</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>25940.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.059844</X>
<sigma_X>0.022874</sigma_X>
<Y>0.058364</Y>
<sigma_Y>0.022183</sigma_Y>
</pole>
<nutation>
<dPsi>0.166902</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017095</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1929</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>25958.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.078774</X>
<sigma_X>0.027909</sigma_X>
<Y>0.089164</Y>
<sigma_Y>0.043953</sigma_Y>
</pole>
<nutation>
<dPsi>0.166929</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.018098</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>25977.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.144249</X>
<sigma_X>0.028797</sigma_X>
<Y>0.090438</Y>
<sigma_Y>0.028485</sigma_Y>
</pole>
<nutation>
<dPsi>0.168182</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017597</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>25995.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.150301</X>
<sigma_X>0.023017</sigma_X>
<Y>0.145635</Y>
<sigma_Y>0.033527</sigma_Y>
</pole>
<nutation>
<dPsi>0.168646</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017964</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>26013.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.153275</X>
<sigma_X>0.027577</sigma_X>
<Y>0.173034</Y>
<sigma_Y>0.025314</sigma_Y>
</pole>
<nutation>
<dPsi>0.168485</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017432</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>26031.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.158066</X>
<sigma_X>0.024678</sigma_X>
<Y>0.208172</Y>
<sigma_Y>0.022780</sigma_Y>
</pole>
<nutation>
<dPsi>0.168739</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016110</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>26050.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.124309</X>
<sigma_X>0.024109</sigma_X>
<Y>0.236565</Y>
<sigma_Y>0.020215</sigma_Y>
</pole>
<nutation>
<dPsi>0.170202</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015549</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>26068.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.101166</X>
<sigma_X>0.021856</sigma_X>
<Y>0.289474</Y>
<sigma_Y>0.021928</sigma_Y>
</pole>
<nutation>
<dPsi>0.169957</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014707</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>26086.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.064714</X>
<sigma_X>0.022935</sigma_X>
<Y>0.265352</Y>
<sigma_Y>0.024942</sigma_Y>
</pole>
<nutation>
<dPsi>0.170894</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013852</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>26104.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.039342</X>
<sigma_X>0.025290</sigma_X>
<Y>0.272272</Y>
<sigma_Y>0.028623</sigma_Y>
</pole>
<nutation>
<dPsi>0.171443</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013551</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>26123.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.034317</X>
<sigma_X>0.022739</sigma_X>
<Y>0.307747</Y>
<sigma_Y>0.022020</sigma_Y>
</pole>
<nutation>
<dPsi>0.168902</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013819</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>26141.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.050002</X>
<sigma_X>0.019216</sigma_X>
<Y>0.273250</Y>
<sigma_Y>0.024179</sigma_Y>
</pole>
<nutation>
<dPsi>0.167724</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013229</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>26159.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.120262</X>
<sigma_X>0.019041</sigma_X>
<Y>0.243367</Y>
<sigma_Y>0.020850</sigma_Y>
</pole>
<nutation>
<dPsi>0.164961</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013729</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>26177.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.154948</X>
<sigma_X>0.020414</sigma_X>
<Y>0.223185</Y>
<sigma_Y>0.021115</sigma_Y>
</pole>
<nutation>
<dPsi>0.161338</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013602</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>26196.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.136729</X>
<sigma_X>0.017474</sigma_X>
<Y>0.168354</Y>
<sigma_Y>0.021928</sigma_Y>
</pole>
<nutation>
<dPsi>0.159850</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013170</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>26214.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.173293</X>
<sigma_X>0.018304</sigma_X>
<Y>0.146250</Y>
<sigma_Y>0.025331</sigma_Y>
</pole>
<nutation>
<dPsi>0.158634</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013860</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>26232.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.147323</X>
<sigma_X>0.019982</sigma_X>
<Y>0.070073</Y>
<sigma_Y>0.026214</sigma_Y>
</pole>
<nutation>
<dPsi>0.158462</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013869</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>26250.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.118887</X>
<sigma_X>0.016305</sigma_X>
<Y>0.063902</Y>
<sigma_Y>0.019510</sigma_Y>
</pole>
<nutation>
<dPsi>0.159420</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014409</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>26269.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.057402</X>
<sigma_X>0.021273</sigma_X>
<Y>0.057174</Y>
<sigma_Y>0.018431</sigma_Y>
</pole>
<nutation>
<dPsi>0.161747</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015705</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>26287.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.013136</X>
<sigma_X>0.031999</sigma_X>
<Y>0.060251</Y>
<sigma_Y>0.036277</sigma_Y>
</pole>
<nutation>
<dPsi>0.162841</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015941</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>26305.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.019946</X>
<sigma_X>0.024830</sigma_X>
<Y>0.082294</Y>
<sigma_Y>0.027665</sigma_Y>
</pole>
<nutation>
<dPsi>0.165644</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016475</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1930</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>26323.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.121571</X>
<sigma_X>0.027847</sigma_X>
<Y>0.054996</Y>
<sigma_Y>0.023665</sigma_Y>
</pole>
<nutation>
<dPsi>0.167135</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017314</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>26342.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.257212</X>
<sigma_X>0.051608</sigma_X>
<Y>0.077490</Y>
<sigma_Y>0.026041</sigma_Y>
</pole>
<nutation>
<dPsi>0.166501</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017707</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>26360.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.219104</X>
<sigma_X>0.036534</sigma_X>
<Y>0.114731</Y>
<sigma_Y>0.025807</sigma_Y>
</pole>
<nutation>
<dPsi>0.167736</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.017150</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>26378.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.183594</X>
<sigma_X>0.032872</sigma_X>
<Y>0.142265</Y>
<sigma_Y>0.029800</sigma_Y>
</pole>
<nutation>
<dPsi>0.167776</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016893</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>26397.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.194833</X>
<sigma_X>0.033579</sigma_X>
<Y>0.203074</Y>
<sigma_Y>0.026228</sigma_Y>
</pole>
<nutation>
<dPsi>0.168088</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015676</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>26415.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.174747</X>
<sigma_X>0.024246</sigma_X>
<Y>0.251170</Y>
<sigma_Y>0.025751</sigma_Y>
</pole>
<nutation>
<dPsi>0.168896</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014504</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>26433.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.163187</X>
<sigma_X>0.022949</sigma_X>
<Y>0.276671</Y>
<sigma_Y>0.022098</sigma_Y>
</pole>
<nutation>
<dPsi>0.170414</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014210</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>26451.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.148569</X>
<sigma_X>0.021086</sigma_X>
<Y>0.301434</Y>
<sigma_Y>0.017524</sigma_Y>
</pole>
<nutation>
<dPsi>0.170217</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013054</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>26470.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.083681</X>
<sigma_X>0.019215</sigma_X>
<Y>0.337368</Y>
<sigma_Y>0.024515</sigma_Y>
</pole>
<nutation>
<dPsi>0.170570</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012629</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>26488.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028221</X>
<sigma_X>0.019498</sigma_X>
<Y>0.350363</Y>
<sigma_Y>0.019934</sigma_Y>
</pole>
<nutation>
<dPsi>0.169883</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013090</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>26506.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.032613</X>
<sigma_X>0.021526</sigma_X>
<Y>0.350858</Y>
<sigma_Y>0.022022</sigma_Y>
</pole>
<nutation>
<dPsi>0.166658</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012868</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>26524.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.100427</X>
<sigma_X>0.021815</sigma_X>
<Y>0.344434</Y>
<sigma_Y>0.023471</sigma_Y>
</pole>
<nutation>
<dPsi>0.164994</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013096</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>26543.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.155047</X>
<sigma_X>0.016657</sigma_X>
<Y>0.301250</Y>
<sigma_Y>0.019061</sigma_Y>
</pole>
<nutation>
<dPsi>0.161253</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013319</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>26561.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.192043</X>
<sigma_X>0.018448</sigma_X>
<Y>0.256147</Y>
<sigma_Y>0.019392</sigma_Y>
</pole>
<nutation>
<dPsi>0.158489</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012782</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>26579.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.201004</X>
<sigma_X>0.017443</sigma_X>
<Y>0.224040</Y>
<sigma_Y>0.019757</sigma_Y>
</pole>
<nutation>
<dPsi>0.158103</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012952</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>26597.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.206887</X>
<sigma_X>0.023582</sigma_X>
<Y>0.153801</Y>
<sigma_Y>0.016590</sigma_Y>
</pole>
<nutation>
<dPsi>0.157371</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013406</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>26616.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.165569</X>
<sigma_X>0.017636</sigma_X>
<Y>0.109262</Y>
<sigma_Y>0.018135</sigma_Y>
</pole>
<nutation>
<dPsi>0.158469</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013263</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>26634.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.102195</X>
<sigma_X>0.018833</sigma_X>
<Y>0.030818</Y>
<sigma_Y>0.017389</sigma_Y>
</pole>
<nutation>
<dPsi>0.160292</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014352</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>26652.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000409</X>
<sigma_X>0.033325</sigma_X>
<Y>0.020234</Y>
<sigma_Y>0.023363</sigma_Y>
</pole>
<nutation>
<dPsi>0.162535</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015591</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>26670.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.027041</X>
<sigma_X>0.024187</sigma_X>
<Y>0.022417</Y>
<sigma_Y>0.027295</sigma_Y>
</pole>
<nutation>
<dPsi>0.163309</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015758</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1931</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>26689.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.031803</X>
<sigma_X>0.022772</sigma_X>
<Y>-0.033634</Y>
<sigma_Y>0.025039</sigma_Y>
</pole>
<nutation>
<dPsi>0.165570</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016616</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>26707.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.071151</X>
<sigma_X>0.025164</sigma_X>
<Y>0.047544</Y>
<sigma_Y>0.021453</sigma_Y>
</pole>
<nutation>
<dPsi>0.165874</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016950</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>26725.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.141266</X>
<sigma_X>0.019910</sigma_X>
<Y>0.056140</Y>
<sigma_Y>0.022335</sigma_Y>
</pole>
<nutation>
<dPsi>0.165647</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016540</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>26744.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.123946</X>
<sigma_X>0.028887</sigma_X>
<Y>0.104599</Y>
<sigma_Y>0.024951</sigma_Y>
</pole>
<nutation>
<dPsi>0.166700</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016291</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>26762.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.199841</X>
<sigma_X>0.031574</sigma_X>
<Y>0.142035</Y>
<sigma_Y>0.025587</sigma_Y>
</pole>
<nutation>
<dPsi>0.166224</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015602</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>26780.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.167575</X>
<sigma_X>0.035910</sigma_X>
<Y>0.182145</Y>
<sigma_Y>0.029504</sigma_Y>
</pole>
<nutation>
<dPsi>0.167637</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013856</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>26798.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.186630</X>
<sigma_X>0.021723</sigma_X>
<Y>0.224419</Y>
<sigma_Y>0.017992</sigma_Y>
</pole>
<nutation>
<dPsi>0.168375</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013093</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>26817.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.138136</X>
<sigma_X>0.023330</sigma_X>
<Y>0.266090</Y>
<sigma_Y>0.018930</sigma_Y>
</pole>
<nutation>
<dPsi>0.169119</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013262</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>26835.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.150354</X>
<sigma_X>0.026556</sigma_X>
<Y>0.302130</Y>
<sigma_Y>0.023574</sigma_Y>
</pole>
<nutation>
<dPsi>0.168956</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011747</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>26853.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.112984</X>
<sigma_X>0.023004</sigma_X>
<Y>0.312176</Y>
<sigma_Y>0.022433</sigma_Y>
</pole>
<nutation>
<dPsi>0.168072</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012348</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>26871.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.048054</X>
<sigma_X>0.027400</sigma_X>
<Y>0.337185</Y>
<sigma_Y>0.029026</sigma_Y>
</pole>
<nutation>
<dPsi>0.165821</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012858</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>26890.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.022203</X>
<sigma_X>0.020335</sigma_X>
<Y>0.318193</Y>
<sigma_Y>0.019977</sigma_Y>
</pole>
<nutation>
<dPsi>0.162396</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012129</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>26908.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.023483</X>
<sigma_X>0.017799</sigma_X>
<Y>0.321391</Y>
<sigma_Y>0.018380</sigma_Y>
</pole>
<nutation>
<dPsi>0.160773</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012917</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>26926.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.101548</X>
<sigma_X>0.019973</sigma_X>
<Y>0.317587</Y>
<sigma_Y>0.018159</sigma_Y>
</pole>
<nutation>
<dPsi>0.157139</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012765</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>26944.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.124928</X>
<sigma_X>0.018395</sigma_X>
<Y>0.294529</Y>
<sigma_Y>0.017652</sigma_Y>
</pole>
<nutation>
<dPsi>0.156413</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012451</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>26963.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.113706</X>
<sigma_X>0.021635</sigma_X>
<Y>0.247969</Y>
<sigma_Y>0.016101</sigma_Y>
</pole>
<nutation>
<dPsi>0.156950</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012955</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>26981.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.150795</X>
<sigma_X>0.022058</sigma_X>
<Y>0.196854</Y>
<sigma_Y>0.015856</sigma_Y>
</pole>
<nutation>
<dPsi>0.156829</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013501</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>26999.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.136612</X>
<sigma_X>0.026810</sigma_X>
<Y>0.193935</Y>
<sigma_Y>0.021414</sigma_Y>
</pole>
<nutation>
<dPsi>0.158981</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013269</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>27017.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.118035</X>
<sigma_X>0.027294</sigma_X>
<Y>0.159111</Y>
<sigma_Y>0.018197</sigma_Y>
</pole>
<nutation>
<dPsi>0.160932</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014682</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>27036.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.114777</X>
<sigma_X>0.031531</sigma_X>
<Y>0.158901</Y>
<sigma_Y>0.019563</sigma_Y>
</pole>
<nutation>
<dPsi>0.162823</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015434</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>27054.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.077469</X>
<sigma_X>0.036134</sigma_X>
<Y>0.080038</Y>
<sigma_Y>0.027419</sigma_Y>
</pole>
<nutation>
<dPsi>0.163519</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015469</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1932</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>27072.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.011214</X>
<sigma_X>0.025406</sigma_X>
<Y>0.079887</Y>
<sigma_Y>0.026635</sigma_Y>
</pole>
<nutation>
<dPsi>0.164973</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016258</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>27091.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.037821</X>
<sigma_X>0.032113</sigma_X>
<Y>0.072963</Y>
<sigma_Y>0.025910</sigma_Y>
</pole>
<nutation>
<dPsi>0.164745</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.016162</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>27109.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.118549</X>
<sigma_X>0.024219</sigma_X>
<Y>0.069851</Y>
<sigma_Y>0.023974</sigma_Y>
</pole>
<nutation>
<dPsi>0.164798</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.015209</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>27127.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.107770</X>
<sigma_X>0.026398</sigma_X>
<Y>0.135363</Y>
<sigma_Y>0.021919</sigma_Y>
</pole>
<nutation>
<dPsi>0.165702</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014772</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>27145.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.126338</X>
<sigma_X>0.029165</sigma_X>
<Y>0.122800</Y>
<sigma_Y>0.032132</sigma_Y>
</pole>
<nutation>
<dPsi>0.165159</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014073</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>27164.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.162197</X>
<sigma_X>0.021847</sigma_X>
<Y>0.188104</Y>
<sigma_Y>0.019447</sigma_Y>
</pole>
<nutation>
<dPsi>0.167006</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012302</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>27182.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.168778</X>
<sigma_X>0.024244</sigma_X>
<Y>0.201250</Y>
<sigma_Y>0.017764</sigma_Y>
</pole>
<nutation>
<dPsi>0.167201</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011684</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>27200.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.155178</X>
<sigma_X>0.021857</sigma_X>
<Y>0.219525</Y>
<sigma_Y>0.021375</sigma_Y>
</pole>
<nutation>
<dPsi>0.166964</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012142</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>27218.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.105742</X>
<sigma_X>0.017240</sigma_X>
<Y>0.258548</Y>
<sigma_Y>0.015818</sigma_Y>
</pole>
<nutation>
<dPsi>0.166067</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010838</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>27237.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.093166</X>
<sigma_X>0.016198</sigma_X>
<Y>0.293512</Y>
<sigma_Y>0.014577</sigma_Y>
</pole>
<nutation>
<dPsi>0.163734</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011728</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>27255.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.055743</X>
<sigma_X>0.017697</sigma_X>
<Y>0.297207</Y>
<sigma_Y>0.017239</sigma_Y>
</pole>
<nutation>
<dPsi>0.160455</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011753</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>27273.637</MJD>
</time>
<dataEOP>
<pole>
<X>-0.023389</X>
<sigma_X>0.016762</sigma_X>
<Y>0.273004</Y>
<sigma_Y>0.018128</sigma_Y>
</pole>
<nutation>
<dPsi>0.157321</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011216</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>27291.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.016814</X>
<sigma_X>0.016208</sigma_X>
<Y>0.279618</Y>
<sigma_Y>0.017776</sigma_Y>
</pole>
<nutation>
<dPsi>0.156062</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011743</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>27310.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.086456</X>
<sigma_X>0.017057</sigma_X>
<Y>0.248802</Y>
<sigma_Y>0.017670</sigma_Y>
</pole>
<nutation>
<dPsi>0.153787</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011926</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>27328.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.062762</X>
<sigma_X>0.017524</sigma_X>
<Y>0.234945</Y>
<sigma_Y>0.018234</sigma_Y>
</pole>
<nutation>
<dPsi>0.154339</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012048</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>27346.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.072220</X>
<sigma_X>0.016546</sigma_X>
<Y>0.213314</Y>
<sigma_Y>0.015412</sigma_Y>
</pole>
<nutation>
<dPsi>0.155508</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012480</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>27364.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.075685</X>
<sigma_X>0.019163</sigma_X>
<Y>0.185439</Y>
<sigma_Y>0.015438</sigma_Y>
</pole>
<nutation>
<dPsi>0.156444</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013185</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>27383.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.056895</X>
<sigma_X>0.024563</sigma_X>
<Y>0.173058</Y>
<sigma_Y>0.020811</sigma_Y>
</pole>
<nutation>
<dPsi>0.158954</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013248</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>27401.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.031591</X>
<sigma_X>0.025164</sigma_X>
<Y>0.147285</Y>
<sigma_Y>0.019855</sigma_Y>
</pole>
<nutation>
<dPsi>0.160361</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014245</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1933</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>27419.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.051635</X>
<sigma_X>0.027808</sigma_X>
<Y>0.120002</Y>
<sigma_Y>0.023828</sigma_Y>
</pole>
<nutation>
<dPsi>0.161631</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014591</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>27438.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.003310</X>
<sigma_X>0.030682</sigma_X>
<Y>0.190047</Y>
<sigma_Y>0.027318</sigma_Y>
</pole>
<nutation>
<dPsi>0.162170</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014753</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>27456.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.018644</X>
<sigma_X>0.040281</sigma_X>
<Y>0.174386</Y>
<sigma_Y>0.022429</sigma_Y>
</pole>
<nutation>
<dPsi>0.162767</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014822</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>27474.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.056953</X>
<sigma_X>0.030612</sigma_X>
<Y>0.107901</Y>
<sigma_Y>0.028133</sigma_Y>
</pole>
<nutation>
<dPsi>0.162695</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.014349</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>27492.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.116855</X>
<sigma_X>0.025216</sigma_X>
<Y>0.109966</Y>
<sigma_Y>0.023970</sigma_Y>
</pole>
<nutation>
<dPsi>0.162880</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013144</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>27511.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.147089</X>
<sigma_X>0.026697</sigma_X>
<Y>0.138704</Y>
<sigma_Y>0.022016</sigma_Y>
</pole>
<nutation>
<dPsi>0.164008</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012589</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>27529.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.139737</X>
<sigma_X>0.023365</sigma_X>
<Y>0.135355</Y>
<sigma_Y>0.021886</sigma_Y>
</pole>
<nutation>
<dPsi>0.164131</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011830</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>27547.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.159843</X>
<sigma_X>0.021416</sigma_X>
<Y>0.169336</Y>
<sigma_Y>0.020145</sigma_Y>
</pole>
<nutation>
<dPsi>0.165383</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010716</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>27565.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.129889</X>
<sigma_X>0.018445</sigma_X>
<Y>0.183273</Y>
<sigma_Y>0.015122</sigma_Y>
</pole>
<nutation>
<dPsi>0.165044</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010110</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>27584.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.099622</X>
<sigma_X>0.023238</sigma_X>
<Y>0.245742</Y>
<sigma_Y>0.024304</sigma_Y>
</pole>
<nutation>
<dPsi>0.163784</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010505</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>27602.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.093451</X>
<sigma_X>0.019157</sigma_X>
<Y>0.251825</Y>
<sigma_Y>0.016049</sigma_Y>
</pole>
<nutation>
<dPsi>0.162294</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010113</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>27620.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.040788</X>
<sigma_X>0.018221</sigma_X>
<Y>0.247263</Y>
<sigma_Y>0.016850</sigma_Y>
</pole>
<nutation>
<dPsi>0.159076</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010625</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>27638.887</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017974</X>
<sigma_X>0.018560</sigma_X>
<Y>0.266575</Y>
<sigma_Y>0.016936</sigma_Y>
</pole>
<nutation>
<dPsi>0.155693</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010361</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>27657.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.018335</X>
<sigma_X>0.019184</sigma_X>
<Y>0.272799</Y>
<sigma_Y>0.017754</sigma_Y>
</pole>
<nutation>
<dPsi>0.153491</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010472</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>27675.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.063041</X>
<sigma_X>0.015776</sigma_X>
<Y>0.230038</Y>
<sigma_Y>0.013798</sigma_Y>
</pole>
<nutation>
<dPsi>0.152270</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010630</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>27693.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.071578</X>
<sigma_X>0.017604</sigma_X>
<Y>0.260713</Y>
<sigma_Y>0.019863</sigma_Y>
</pole>
<nutation>
<dPsi>0.151868</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011139</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>27711.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.051788</X>
<sigma_X>0.017129</sigma_X>
<Y>0.249499</Y>
<sigma_Y>0.014676</sigma_Y>
</pole>
<nutation>
<dPsi>0.153073</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011435</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>27730.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.047716</X>
<sigma_X>0.017668</sigma_X>
<Y>0.225956</Y>
<sigma_Y>0.013575</sigma_Y>
</pole>
<nutation>
<dPsi>0.154681</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011912</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>27748.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.025190</X>
<sigma_X>0.028688</sigma_X>
<Y>0.186377</Y>
<sigma_Y>0.014916</sigma_Y>
</pole>
<nutation>
<dPsi>0.156377</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012645</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>27766.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.019427</X>
<sigma_X>0.023219</sigma_X>
<Y>0.186194</Y>
<sigma_Y>0.024523</sigma_Y>
</pole>
<nutation>
<dPsi>0.158932</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013351</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1934</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>27784.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.036909</X>
<sigma_X>0.037180</sigma_X>
<Y>0.206567</Y>
<sigma_Y>0.026247</sigma_Y>
</pole>
<nutation>
<dPsi>0.159333</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013653</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>27803.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.040448</X>
<sigma_X>0.032094</sigma_X>
<Y>0.196555</Y>
<sigma_Y>0.029933</sigma_Y>
</pole>
<nutation>
<dPsi>0.159934</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013750</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>27821.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.070845</X>
<sigma_X>0.034903</sigma_X>
<Y>0.134800</Y>
<sigma_Y>0.036680</sigma_Y>
</pole>
<nutation>
<dPsi>0.160456</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013848</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>27839.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.008261</X>
<sigma_X>0.034174</sigma_X>
<Y>0.143920</Y>
<sigma_Y>0.021550</sigma_Y>
</pole>
<nutation>
<dPsi>0.160397</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013551</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>27858.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.023268</X>
<sigma_X>0.028376</sigma_X>
<Y>0.164840</Y>
<sigma_Y>0.021623</sigma_Y>
</pole>
<nutation>
<dPsi>0.160775</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012126</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>27876.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.044593</X>
<sigma_X>0.029090</sigma_X>
<Y>0.178478</Y>
<sigma_Y>0.026852</sigma_Y>
</pole>
<nutation>
<dPsi>0.160804</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011019</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>27894.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.038635</X>
<sigma_X>0.017298</sigma_X>
<Y>0.188604</Y>
<sigma_Y>0.020068</sigma_Y>
</pole>
<nutation>
<dPsi>0.162032</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010599</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>27912.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028757</X>
<sigma_X>0.018782</sigma_X>
<Y>0.191203</Y>
<sigma_Y>0.017969</sigma_Y>
</pole>
<nutation>
<dPsi>0.162441</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009424</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>27931.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.021432</X>
<sigma_X>0.024278</sigma_X>
<Y>0.219228</Y>
<sigma_Y>0.018564</sigma_Y>
</pole>
<nutation>
<dPsi>0.162866</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009293</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>27949.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008804</X>
<sigma_X>0.018786</sigma_X>
<Y>0.193592</Y>
<sigma_Y>0.014604</sigma_Y>
</pole>
<nutation>
<dPsi>0.161792</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008942</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>27967.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017682</X>
<sigma_X>0.018060</sigma_X>
<Y>0.214231</Y>
<sigma_Y>0.019925</sigma_Y>
</pole>
<nutation>
<dPsi>0.159077</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009299</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>27985.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.005122</X>
<sigma_X>0.016228</sigma_X>
<Y>0.199155</Y>
<sigma_Y>0.015861</sigma_Y>
</pole>
<nutation>
<dPsi>0.157350</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009604</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>28004.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.009297</X>
<sigma_X>0.017999</sigma_X>
<Y>0.181160</Y>
<sigma_Y>0.017403</sigma_Y>
</pole>
<nutation>
<dPsi>0.153160</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009796</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>28022.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.022543</X>
<sigma_X>0.017773</sigma_X>
<Y>0.171960</Y>
<sigma_Y>0.017801</sigma_Y>
</pole>
<nutation>
<dPsi>0.150722</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009318</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>28040.662</MJD>
</time>
<dataEOP>
<pole>
<X>-0.015006</X>
<sigma_X>0.018568</sigma_X>
<Y>0.167202</Y>
<sigma_Y>0.019112</sigma_Y>
</pole>
<nutation>
<dPsi>0.149582</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009701</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>28058.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.006710</X>
<sigma_X>0.019918</sigma_X>
<Y>0.181298</Y>
<sigma_Y>0.018072</sigma_Y>
</pole>
<nutation>
<dPsi>0.148824</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009709</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>28077.187</MJD>
</time>
<dataEOP>
<pole>
<X>-0.039412</X>
<sigma_X>0.028761</sigma_X>
<Y>0.150158</Y>
<sigma_Y>0.015977</sigma_Y>
</pole>
<nutation>
<dPsi>0.150151</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010197</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>28095.450</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028773</X>
<sigma_X>0.027615</sigma_X>
<Y>0.158559</Y>
<sigma_Y>0.017463</sigma_Y>
</pole>
<nutation>
<dPsi>0.151805</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010731</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>28113.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.059108</X>
<sigma_X>0.026680</sigma_X>
<Y>0.154847</Y>
<sigma_Y>0.020727</sigma_Y>
</pole>
<nutation>
<dPsi>0.153495</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011515</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>28131.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.061955</X>
<sigma_X>0.029293</sigma_X>
<Y>0.161204</Y>
<sigma_Y>0.018065</sigma_Y>
</pole>
<nutation>
<dPsi>0.155168</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012127</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1935</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>28150.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.072335</X>
<sigma_X>0.043415</sigma_X>
<Y>0.169938</Y>
<sigma_Y>0.024309</sigma_Y>
</pole>
<nutation>
<dPsi>0.157750</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012983</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>28168.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.013163</X>
<sigma_X>0.036128</sigma_X>
<Y>0.191866</Y>
<sigma_Y>0.024308</sigma_Y>
</pole>
<nutation>
<dPsi>0.157392</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013077</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>28186.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.061844</X>
<sigma_X>0.042956</sigma_X>
<Y>0.242491</Y>
<sigma_Y>0.024770</sigma_Y>
</pole>
<nutation>
<dPsi>0.157695</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012720</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>28205.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.051922</X>
<sigma_X>0.042929</sigma_X>
<Y>0.243049</Y>
<sigma_Y>0.024514</sigma_Y>
</pole>
<nutation>
<dPsi>0.158040</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012391</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>28223.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.103346</X>
<sigma_X>0.029837</sigma_X>
<Y>0.261182</Y>
<sigma_Y>0.018913</sigma_Y>
</pole>
<nutation>
<dPsi>0.157790</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012030</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>28241.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.105861</X>
<sigma_X>0.029283</sigma_X>
<Y>0.252372</Y>
<sigma_Y>0.021425</sigma_Y>
</pole>
<nutation>
<dPsi>0.158592</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009507</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>28259.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.047145</X>
<sigma_X>0.024471</sigma_X>
<Y>0.268509</Y>
<sigma_Y>0.023032</sigma_Y>
</pole>
<nutation>
<dPsi>0.158607</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008737</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>28278.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.047485</X>
<sigma_X>0.032495</sigma_X>
<Y>0.273948</Y>
<sigma_Y>0.021228</sigma_Y>
</pole>
<nutation>
<dPsi>0.159864</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008443</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>28296.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.009614</X>
<sigma_X>0.019674</sigma_X>
<Y>0.278158</Y>
<sigma_Y>0.016521</sigma_Y>
</pole>
<nutation>
<dPsi>0.159735</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007257</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>28314.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000242</X>
<sigma_X>0.019273</sigma_X>
<Y>0.247690</Y>
<sigma_Y>0.014979</sigma_Y>
</pole>
<nutation>
<dPsi>0.159480</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007828</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>28332.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.042752</X>
<sigma_X>0.026292</sigma_X>
<Y>0.240208</Y>
<sigma_Y>0.016376</sigma_Y>
</pole>
<nutation>
<dPsi>0.156941</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008070</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>28351.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.075071</X>
<sigma_X>0.023146</sigma_X>
<Y>0.240530</Y>
<sigma_Y>0.020253</sigma_Y>
</pole>
<nutation>
<dPsi>0.153188</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008254</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>28369.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.055880</X>
<sigma_X>0.017661</sigma_X>
<Y>0.215141</Y>
<sigma_Y>0.018507</sigma_Y>
</pole>
<nutation>
<dPsi>0.151466</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008584</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>28387.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.050282</X>
<sigma_X>0.018454</sigma_X>
<Y>0.165385</Y>
<sigma_Y>0.020600</sigma_Y>
</pole>
<nutation>
<dPsi>0.147257</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008679</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>28405.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.044017</X>
<sigma_X>0.017563</sigma_X>
<Y>0.142459</Y>
<sigma_Y>0.017255</sigma_Y>
</pole>
<nutation>
<dPsi>0.146694</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008135</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>28424.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.030743</X>
<sigma_X>0.017041</sigma_X>
<Y>0.108678</Y>
<sigma_Y>0.017112</sigma_Y>
</pole>
<nutation>
<dPsi>0.146489</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008625</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>28442.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000345</X>
<sigma_X>0.019563</sigma_X>
<Y>0.076990</Y>
<sigma_Y>0.016536</sigma_Y>
</pole>
<nutation>
<dPsi>0.146748</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008717</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>28460.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016825</X>
<sigma_X>0.024088</sigma_X>
<Y>0.086854</Y>
<sigma_Y>0.017784</sigma_Y>
</pole>
<nutation>
<dPsi>0.148864</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009196</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>28478.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.029841</X>
<sigma_X>0.025914</sigma_X>
<Y>0.082250</Y>
<sigma_Y>0.024591</sigma_Y>
</pole>
<nutation>
<dPsi>0.150824</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009853</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>28497.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.109678</X>
<sigma_X>0.035792</sigma_X>
<Y>0.102715</Y>
<sigma_Y>0.024692</sigma_Y>
</pole>
<nutation>
<dPsi>0.151973</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011039</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>28515.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.132315</X>
<sigma_X>0.042434</sigma_X>
<Y>0.163442</Y>
<sigma_Y>0.030034</sigma_Y>
</pole>
<nutation>
<dPsi>0.153350</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011242</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1936</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>28533.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.084250</X>
<sigma_X>0.029073</sigma_X>
<Y>0.161746</Y>
<sigma_Y>0.026323</sigma_Y>
</pole>
<nutation>
<dPsi>0.155346</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011816</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>28552.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.114799</X>
<sigma_X>0.046378</sigma_X>
<Y>0.212930</Y>
<sigma_Y>0.045988</sigma_Y>
</pole>
<nutation>
<dPsi>0.154440</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011990</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>28570.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.118745</X>
<sigma_X>0.037874</sigma_X>
<Y>0.213432</Y>
<sigma_Y>0.022240</sigma_Y>
</pole>
<nutation>
<dPsi>0.154391</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010702</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>28588.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.160550</X>
<sigma_X>0.027728</sigma_X>
<Y>0.247879</Y>
<sigma_Y>0.018487</sigma_Y>
</pole>
<nutation>
<dPsi>0.154737</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010080</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>28606.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.117221</X>
<sigma_X>0.025924</sigma_X>
<Y>0.255345</Y>
<sigma_Y>0.021835</sigma_Y>
</pole>
<nutation>
<dPsi>0.155159</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009463</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>28625.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.066071</X>
<sigma_X>0.025370</sigma_X>
<Y>0.287610</Y>
<sigma_Y>0.022285</sigma_Y>
</pole>
<nutation>
<dPsi>0.155965</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006926</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>28643.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.050413</X>
<sigma_X>0.020118</sigma_X>
<Y>0.291543</Y>
<sigma_Y>0.020375</sigma_Y>
</pole>
<nutation>
<dPsi>0.156481</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006631</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>28661.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.000427</X>
<sigma_X>0.019862</sigma_X>
<Y>0.297917</Y>
<sigma_Y>0.019195</sigma_Y>
</pole>
<nutation>
<dPsi>0.156538</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006581</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>28679.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.005306</X>
<sigma_X>0.018220</sigma_X>
<Y>0.304805</Y>
<sigma_Y>0.019156</sigma_Y>
</pole>
<nutation>
<dPsi>0.155416</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005893</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>28698.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.062188</X>
<sigma_X>0.018392</sigma_X>
<Y>0.318213</Y>
<sigma_Y>0.021204</sigma_Y>
</pole>
<nutation>
<dPsi>0.154306</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006685</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>28716.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.093797</X>
<sigma_X>0.017450</sigma_X>
<Y>0.317055</Y>
<sigma_Y>0.022332</sigma_Y>
</pole>
<nutation>
<dPsi>0.150556</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007163</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>28734.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.103474</X>
<sigma_X>0.017423</sigma_X>
<Y>0.256482</Y>
<sigma_Y>0.018907</sigma_Y>
</pole>
<nutation>
<dPsi>0.147170</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006975</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>28752.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.111821</X>
<sigma_X>0.015323</sigma_X>
<Y>0.193082</Y>
<sigma_Y>0.014945</sigma_Y>
</pole>
<nutation>
<dPsi>0.145551</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007313</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>28771.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.106594</X>
<sigma_X>0.018299</sigma_X>
<Y>0.153903</Y>
<sigma_Y>0.021331</sigma_Y>
</pole>
<nutation>
<dPsi>0.142685</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007427</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>28789.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.070859</X>
<sigma_X>0.020413</sigma_X>
<Y>0.116432</Y>
<sigma_Y>0.015394</sigma_Y>
</pole>
<nutation>
<dPsi>0.143508</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007102</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>28807.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.030819</X>
<sigma_X>0.025154</sigma_X>
<Y>0.089104</Y>
<sigma_Y>0.022100</sigma_Y>
</pole>
<nutation>
<dPsi>0.144016</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007674</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>28825.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.046483</X>
<sigma_X>0.021886</sigma_X>
<Y>0.089462</Y>
<sigma_Y>0.018196</sigma_Y>
</pole>
<nutation>
<dPsi>0.145239</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008081</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>28844.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.008668</X>
<sigma_X>0.026089</sigma_X>
<Y>0.044198</Y>
<sigma_Y>0.019443</sigma_Y>
</pole>
<nutation>
<dPsi>0.147662</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008686</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>28862.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.006437</X>
<sigma_X>0.026121</sigma_X>
<Y>0.071388</Y>
<sigma_Y>0.022125</sigma_Y>
</pole>
<nutation>
<dPsi>0.149482</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009346</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1937</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>28880.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.100397</X>
<sigma_X>0.035006</sigma_X>
<Y>0.100472</Y>
<sigma_Y>0.028358</sigma_Y>
</pole>
<nutation>
<dPsi>0.149667</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010550</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>28899.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.152464</X>
<sigma_X>0.034712</sigma_X>
<Y>0.068956</Y>
<sigma_Y>0.025913</sigma_Y>
</pole>
<nutation>
<dPsi>0.150528</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010253</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>28917.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.202413</X>
<sigma_X>0.034069</sigma_X>
<Y>0.094182</Y>
<sigma_Y>0.038883</sigma_Y>
</pole>
<nutation>
<dPsi>0.151252</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010493</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>28935.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.146741</X>
<sigma_X>0.022123</sigma_X>
<Y>0.185119</Y>
<sigma_Y>0.020557</sigma_Y>
</pole>
<nutation>
<dPsi>0.150704</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010092</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>28953.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.151336</X>
<sigma_X>0.021995</sigma_X>
<Y>0.207242</Y>
<sigma_Y>0.022029</sigma_Y>
</pole>
<nutation>
<dPsi>0.150055</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008315</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>28972.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.157069</X>
<sigma_X>0.024525</sigma_X>
<Y>0.240675</Y>
<sigma_Y>0.025662</sigma_Y>
</pole>
<nutation>
<dPsi>0.151181</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007800</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>28990.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.104611</X>
<sigma_X>0.023368</sigma_X>
<Y>0.293957</Y>
<sigma_Y>0.022709</sigma_Y>
</pole>
<nutation>
<dPsi>0.151857</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006903</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>29008.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062332</X>
<sigma_X>0.022089</sigma_X>
<Y>0.335960</Y>
<sigma_Y>0.021528</sigma_Y>
</pole>
<nutation>
<dPsi>0.152108</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005546</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>29026.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062644</X>
<sigma_X>0.026379</sigma_X>
<Y>0.356934</Y>
<sigma_Y>0.022966</sigma_Y>
</pole>
<nutation>
<dPsi>0.152568</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005533</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>29045.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.049104</X>
<sigma_X>0.023739</sigma_X>
<Y>0.317559</Y>
<sigma_Y>0.021081</sigma_Y>
</pole>
<nutation>
<dPsi>0.150644</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005683</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>29063.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.044701</X>
<sigma_X>0.027609</sigma_X>
<Y>0.336251</Y>
<sigma_Y>0.021310</sigma_Y>
</pole>
<nutation>
<dPsi>0.148940</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005575</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>29081.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.107503</X>
<sigma_X>0.025250</sigma_X>
<Y>0.349512</Y>
<sigma_Y>0.020626</sigma_Y>
</pole>
<nutation>
<dPsi>0.146431</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006327</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>29099.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.181388</X>
<sigma_X>0.024415</sigma_X>
<Y>0.341619</Y>
<sigma_Y>0.025179</sigma_Y>
</pole>
<nutation>
<dPsi>0.143021</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006226</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>29118.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.215464</X>
<sigma_X>0.022351</sigma_X>
<Y>0.319372</Y>
<sigma_Y>0.020715</sigma_Y>
</pole>
<nutation>
<dPsi>0.140361</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006085</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>29136.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.183734</X>
<sigma_X>0.025942</sigma_X>
<Y>0.171273</Y>
<sigma_Y>0.016194</sigma_Y>
</pole>
<nutation>
<dPsi>0.138829</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006385</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>29154.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.169104</X>
<sigma_X>0.026317</sigma_X>
<Y>0.201524</Y>
<sigma_Y>0.025643</sigma_Y>
</pole>
<nutation>
<dPsi>0.137832</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006449</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>29172.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.179707</X>
<sigma_X>0.025309</sigma_X>
<Y>0.127336</Y>
<sigma_Y>0.019014</sigma_Y>
</pole>
<nutation>
<dPsi>0.139618</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006576</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>29191.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.089920</X>
<sigma_X>0.028724</sigma_X>
<Y>0.080088</Y>
<sigma_Y>0.017094</sigma_Y>
</pole>
<nutation>
<dPsi>0.140731</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007388</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>29209.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.049324</X>
<sigma_X>0.024790</sigma_X>
<Y>0.074257</Y>
<sigma_Y>0.019927</sigma_Y>
</pole>
<nutation>
<dPsi>0.142542</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008217</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>29227.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.011343</X>
<sigma_X>0.031881</sigma_X>
<Y>0.080777</Y>
<sigma_Y>0.023800</sigma_Y>
</pole>
<nutation>
<dPsi>0.144821</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008931</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1938</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>29245.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.053042</X>
<sigma_X>0.042419</sigma_X>
<Y>0.071341</Y>
<sigma_Y>0.026887</sigma_Y>
</pole>
<nutation>
<dPsi>0.145582</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009419</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>29264.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.103620</X>
<sigma_X>0.042046</sigma_X>
<Y>0.084424</Y>
<sigma_Y>0.023263</sigma_Y>
</pole>
<nutation>
<dPsi>0.145457</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009654</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>29282.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.078354</X>
<sigma_X>0.033106</sigma_X>
<Y>0.127703</Y>
<sigma_Y>0.026625</sigma_Y>
</pole>
<nutation>
<dPsi>0.145715</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009269</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>29300.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.137387</X>
<sigma_X>0.031431</sigma_X>
<Y>0.164412</Y>
<sigma_Y>0.023203</sigma_Y>
</pole>
<nutation>
<dPsi>0.145900</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009067</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>29319.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.099422</X>
<sigma_X>0.026997</sigma_X>
<Y>0.195915</Y>
<sigma_Y>0.022073</sigma_Y>
</pole>
<nutation>
<dPsi>0.146276</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007671</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>29337.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.106455</X>
<sigma_X>0.024760</sigma_X>
<Y>0.248916</Y>
<sigma_Y>0.018682</sigma_Y>
</pole>
<nutation>
<dPsi>0.145421</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006362</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>29355.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.135003</X>
<sigma_X>0.024203</sigma_X>
<Y>0.282776</Y>
<sigma_Y>0.017769</sigma_Y>
</pole>
<nutation>
<dPsi>0.147356</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006056</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>29373.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.087318</X>
<sigma_X>0.025059</sigma_X>
<Y>0.285877</Y>
<sigma_Y>0.019328</sigma_Y>
</pole>
<nutation>
<dPsi>0.147347</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004978</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>29392.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.049668</X>
<sigma_X>0.028777</sigma_X>
<Y>0.323235</Y>
<sigma_Y>0.017561</sigma_Y>
</pole>
<nutation>
<dPsi>0.147474</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004781</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>29410.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.005328</X>
<sigma_X>0.029684</sigma_X>
<Y>0.327520</Y>
<sigma_Y>0.018361</sigma_Y>
</pole>
<nutation>
<dPsi>0.146873</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005055</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>29428.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.029650</X>
<sigma_X>0.022217</sigma_X>
<Y>0.331670</Y>
<sigma_Y>0.016920</sigma_Y>
</pole>
<nutation>
<dPsi>0.143626</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005179</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>29446.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.082252</X>
<sigma_X>0.023728</sigma_X>
<Y>0.331485</Y>
<sigma_Y>0.020997</sigma_Y>
</pole>
<nutation>
<dPsi>0.141486</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005472</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>29465.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.099435</X>
<sigma_X>0.021022</sigma_X>
<Y>0.333369</Y>
<sigma_Y>0.021493</sigma_Y>
</pole>
<nutation>
<dPsi>0.137767</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006083</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>29483.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.164269</X>
<sigma_X>0.017744</sigma_X>
<Y>0.319869</Y>
<sigma_Y>0.016303</sigma_Y>
</pole>
<nutation>
<dPsi>0.135372</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005136</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>29501.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.205912</X>
<sigma_X>0.026302</sigma_X>
<Y>0.284719</Y>
<sigma_Y>0.019243</sigma_Y>
</pole>
<nutation>
<dPsi>0.133784</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005461</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>29519.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.175670</X>
<sigma_X>0.032120</sigma_X>
<Y>0.299529</Y>
<sigma_Y>0.018145</sigma_Y>
</pole>
<nutation>
<dPsi>0.132904</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005726</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>29538.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.199316</X>
<sigma_X>0.030133</sigma_X>
<Y>0.256419</Y>
<sigma_Y>0.022564</sigma_Y>
</pole>
<nutation>
<dPsi>0.133479</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005972</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>29556.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.143452</X>
<sigma_X>0.026124</sigma_X>
<Y>0.187989</Y>
<sigma_Y>0.017639</sigma_Y>
</pole>
<nutation>
<dPsi>0.136017</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006372</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>29574.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.123911</X>
<sigma_X>0.024975</sigma_X>
<Y>0.154828</Y>
<sigma_Y>0.017923</sigma_Y>
</pole>
<nutation>
<dPsi>0.137025</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007934</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>29592.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.100313</X>
<sigma_X>0.026607</sigma_X>
<Y>0.172108</Y>
<sigma_Y>0.019342</sigma_Y>
</pole>
<nutation>
<dPsi>0.138509</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008704</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1939</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>29611.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.083061</X>
<sigma_X>0.034492</sigma_X>
<Y>0.137679</Y>
<sigma_Y>0.021449</sigma_Y>
</pole>
<nutation>
<dPsi>0.139795</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009287</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>29629.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.055338</X>
<sigma_X>0.033462</sigma_X>
<Y>0.075979</Y>
<sigma_Y>0.027355</sigma_Y>
</pole>
<nutation>
<dPsi>0.139777</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009623</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>29647.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.052990</X>
<sigma_X>0.037828</sigma_X>
<Y>0.112744</Y>
<sigma_Y>0.024460</sigma_Y>
</pole>
<nutation>
<dPsi>0.139457</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008754</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>29666.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.055279</X>
<sigma_X>0.022811</sigma_X>
<Y>0.135261</Y>
<sigma_Y>0.020896</sigma_Y>
</pole>
<nutation>
<dPsi>0.139418</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008527</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>29684.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.095853</X>
<sigma_X>0.024438</sigma_X>
<Y>0.138396</Y>
<sigma_Y>0.024709</sigma_Y>
</pole>
<nutation>
<dPsi>0.140115</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007873</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>29702.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.124817</X>
<sigma_X>0.023309</sigma_X>
<Y>0.183133</Y>
<sigma_Y>0.018996</sigma_Y>
</pole>
<nutation>
<dPsi>0.140443</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005982</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>29720.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.147257</X>
<sigma_X>0.035366</sigma_X>
<Y>0.212431</Y>
<sigma_Y>0.025153</sigma_Y>
</pole>
<nutation>
<dPsi>0.140211</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005246</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>29739.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.161189</X>
<sigma_X>0.025964</sigma_X>
<Y>0.172668</Y>
<sigma_Y>0.020879</sigma_Y>
</pole>
<nutation>
<dPsi>0.141826</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005317</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>29757.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.109522</X>
<sigma_X>0.027057</sigma_X>
<Y>0.250947</Y>
<sigma_Y>0.019653</sigma_Y>
</pole>
<nutation>
<dPsi>0.140762</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004437</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>29775.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.040879</X>
<sigma_X>0.025341</sigma_X>
<Y>0.344593</Y>
<sigma_Y>0.020120</sigma_Y>
</pole>
<nutation>
<dPsi>0.140432</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004722</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>29793.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.006837</X>
<sigma_X>0.025152</sigma_X>
<Y>0.335535</Y>
<sigma_Y>0.019406</sigma_Y>
</pole>
<nutation>
<dPsi>0.138596</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005487</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>29812.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.058994</X>
<sigma_X>0.026337</sigma_X>
<Y>0.376348</Y>
<sigma_Y>0.019657</sigma_Y>
</pole>
<nutation>
<dPsi>0.134394</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005370</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>29830.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.074305</X>
<sigma_X>0.027961</sigma_X>
<Y>0.364695</Y>
<sigma_Y>0.019028</sigma_Y>
</pole>
<nutation>
<dPsi>0.132370</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005541</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>29848.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.150961</X>
<sigma_X>0.026057</sigma_X>
<Y>0.341001</Y>
<sigma_Y>0.019573</sigma_Y>
</pole>
<nutation>
<dPsi>0.129031</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005986</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>29866.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.164143</X>
<sigma_X>0.024339</sigma_X>
<Y>0.308564</Y>
<sigma_Y>0.019843</sigma_Y>
</pole>
<nutation>
<dPsi>0.127735</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004963</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>29885.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.148732</X>
<sigma_X>0.031590</sigma_X>
<Y>0.286408</Y>
<sigma_Y>0.015795</sigma_Y>
</pole>
<nutation>
<dPsi>0.127597</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005481</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>29903.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.157064</X>
<sigma_X>0.021083</sigma_X>
<Y>0.221766</Y>
<sigma_Y>0.015479</sigma_Y>
</pole>
<nutation>
<dPsi>0.128062</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006142</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>29921.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.131900</X>
<sigma_X>0.031700</sigma_X>
<Y>0.206467</Y>
<sigma_Y>0.019403</sigma_Y>
</pole>
<nutation>
<dPsi>0.129465</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006597</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>29939.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.113434</X>
<sigma_X>0.029701</sigma_X>
<Y>0.160166</Y>
<sigma_Y>0.019646</sigma_Y>
</pole>
<nutation>
<dPsi>0.131843</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006884</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>29958.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.052922</X>
<sigma_X>0.047796</sigma_X>
<Y>0.108717</Y>
<sigma_Y>0.023256</sigma_Y>
</pole>
<nutation>
<dPsi>0.133040</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008948</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>29976.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.042294</X>
<sigma_X>0.037499</sigma_X>
<Y>0.147766</Y>
<sigma_Y>0.022266</sigma_Y>
</pole>
<nutation>
<dPsi>0.133741</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009272</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1940</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>29994.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.127312</X>
<sigma_X>0.038264</sigma_X>
<Y>0.174077</Y>
<sigma_Y>0.029902</sigma_Y>
</pole>
<nutation>
<dPsi>0.134095</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009565</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>30013.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.082576</X>
<sigma_X>0.043160</sigma_X>
<Y>0.149407</Y>
<sigma_Y>0.035658</sigma_Y>
</pole>
<nutation>
<dPsi>0.134330</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009612</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>30031.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.048737</X>
<sigma_X>0.031004</sigma_X>
<Y>0.181130</Y>
<sigma_Y>0.016308</sigma_Y>
</pole>
<nutation>
<dPsi>0.133317</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008389</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>30049.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000948</X>
<sigma_X>0.034131</sigma_X>
<Y>0.174313</Y>
<sigma_Y>0.018460</sigma_Y>
</pole>
<nutation>
<dPsi>0.133749</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007784</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>30067.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007420</X>
<sigma_X>0.033167</sigma_X>
<Y>0.189425</Y>
<sigma_Y>0.020645</sigma_Y>
</pole>
<nutation>
<dPsi>0.135023</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006942</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>30086.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.074625</X>
<sigma_X>0.030596</sigma_X>
<Y>0.177048</Y>
<sigma_Y>0.020289</sigma_Y>
</pole>
<nutation>
<dPsi>0.134768</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005347</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>30104.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.104841</X>
<sigma_X>0.030544</sigma_X>
<Y>0.213399</Y>
<sigma_Y>0.018946</sigma_Y>
</pole>
<nutation>
<dPsi>0.134648</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004867</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>30122.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.070815</X>
<sigma_X>0.029383</sigma_X>
<Y>0.269136</Y>
<sigma_Y>0.019763</sigma_Y>
</pole>
<nutation>
<dPsi>0.135403</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005173</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>30140.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.041687</X>
<sigma_X>0.026947</sigma_X>
<Y>0.231913</Y>
<sigma_Y>0.018702</sigma_Y>
</pole>
<nutation>
<dPsi>0.133395</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004724</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>30159.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.052451</X>
<sigma_X>0.032133</sigma_X>
<Y>0.267137</Y>
<sigma_Y>0.016838</sigma_Y>
</pole>
<nutation>
<dPsi>0.131908</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005033</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>30177.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.058341</X>
<sigma_X>0.037177</sigma_X>
<Y>0.274505</Y>
<sigma_Y>0.021882</sigma_Y>
</pole>
<nutation>
<dPsi>0.129600</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005853</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>30195.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.001834</X>
<sigma_X>0.027782</sigma_X>
<Y>0.318698</Y>
<sigma_Y>0.018342</sigma_Y>
</pole>
<nutation>
<dPsi>0.124960</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005619</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>30213.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.015293</X>
<sigma_X>0.022910</sigma_X>
<Y>0.306889</Y>
<sigma_Y>0.017208</sigma_Y>
</pole>
<nutation>
<dPsi>0.123540</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005597</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>30232.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.045641</X>
<sigma_X>0.023031</sigma_X>
<Y>0.311685</Y>
<sigma_Y>0.017707</sigma_Y>
</pole>
<nutation>
<dPsi>0.121340</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005966</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>30250.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.056915</X>
<sigma_X>0.021923</sigma_X>
<Y>0.257257</Y>
<sigma_Y>0.015053</sigma_Y>
</pole>
<nutation>
<dPsi>0.121271</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005563</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>30268.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.062690</X>
<sigma_X>0.026156</sigma_X>
<Y>0.266596</Y>
<sigma_Y>0.021486</sigma_Y>
</pole>
<nutation>
<dPsi>0.121830</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005970</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>30286.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.084686</X>
<sigma_X>0.027545</sigma_X>
<Y>0.277567</Y>
<sigma_Y>0.021362</sigma_Y>
</pole>
<nutation>
<dPsi>0.123909</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007214</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>30305.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.066992</X>
<sigma_X>0.030889</sigma_X>
<Y>0.235720</Y>
<sigma_Y>0.024636</sigma_Y>
</pole>
<nutation>
<dPsi>0.125319</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007598</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>30323.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.056632</X>
<sigma_X>0.026199</sigma_X>
<Y>0.222158</Y>
<sigma_Y>0.029259</sigma_Y>
</pole>
<nutation>
<dPsi>0.126642</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008200</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1941</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>30341.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.069635</X>
<sigma_X>0.036831</sigma_X>
<Y>0.261079</Y>
<sigma_Y>0.025145</sigma_Y>
</pole>
<nutation>
<dPsi>0.127773</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009616</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>30360.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.060076</X>
<sigma_X>0.045980</sigma_X>
<Y>0.253400</Y>
<sigma_Y>0.027103</sigma_Y>
</pole>
<nutation>
<dPsi>0.127557</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009730</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>30378.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.036196</X>
<sigma_X>0.043305</sigma_X>
<Y>0.240893</Y>
<sigma_Y>0.030702</sigma_Y>
</pole>
<nutation>
<dPsi>0.127495</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009637</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>30396.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000500</X>
<sigma_X>0.059560</sigma_X>
<Y>0.216995</Y>
<sigma_Y>0.031721</sigma_Y>
</pole>
<nutation>
<dPsi>0.128041</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009153</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>30414.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017579</X>
<sigma_X>0.045575</sigma_X>
<Y>0.245308</Y>
<sigma_Y>0.024188</sigma_Y>
</pole>
<nutation>
<dPsi>0.127388</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007970</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>30433.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.020018</X>
<sigma_X>0.033965</sigma_X>
<Y>0.185095</Y>
<sigma_Y>0.029968</sigma_Y>
</pole>
<nutation>
<dPsi>0.128746</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007197</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>30451.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.009419</X>
<sigma_X>0.034334</sigma_X>
<Y>0.171254</Y>
<sigma_Y>0.023049</sigma_Y>
</pole>
<nutation>
<dPsi>0.129843</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006570</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>30469.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.000602</X>
<sigma_X>0.030230</sigma_X>
<Y>0.209794</Y>
<sigma_Y>0.019637</sigma_Y>
</pole>
<nutation>
<dPsi>0.129287</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005545</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>30487.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.030989</X>
<sigma_X>0.029964</sigma_X>
<Y>0.223349</Y>
<sigma_Y>0.018069</sigma_Y>
</pole>
<nutation>
<dPsi>0.128664</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005442</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>30506.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016644</X>
<sigma_X>0.023524</sigma_X>
<Y>0.218379</Y>
<sigma_Y>0.017289</sigma_Y>
</pole>
<nutation>
<dPsi>0.128276</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005628</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>30524.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.013419</X>
<sigma_X>0.026278</sigma_X>
<Y>0.234801</Y>
<sigma_Y>0.019112</sigma_Y>
</pole>
<nutation>
<dPsi>0.125977</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005480</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>30542.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.032996</X>
<sigma_X>0.024609</sigma_X>
<Y>0.230498</Y>
<sigma_Y>0.016938</sigma_Y>
</pole>
<nutation>
<dPsi>0.123688</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006026</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>30560.887</MJD>
</time>
<dataEOP>
<pole>
<X>-0.019982</X>
<sigma_X>0.021060</sigma_X>
<Y>0.248126</Y>
<sigma_Y>0.018901</sigma_Y>
</pole>
<nutation>
<dPsi>0.121174</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006416</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>30579.150</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000593</X>
<sigma_X>0.021809</sigma_X>
<Y>0.231835</Y>
<sigma_Y>0.021772</sigma_Y>
</pole>
<nutation>
<dPsi>0.117497</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006120</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>30597.412</MJD>
</time>
<dataEOP>
<pole>
<X>-0.005745</X>
<sigma_X>0.021061</sigma_X>
<Y>0.229846</Y>
<sigma_Y>0.016997</sigma_Y>
</pole>
<nutation>
<dPsi>0.116567</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006440</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>30615.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.027834</X>
<sigma_X>0.021806</sigma_X>
<Y>0.265235</Y>
<sigma_Y>0.018206</sigma_Y>
</pole>
<nutation>
<dPsi>0.115891</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006736</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>30633.937</MJD>
</time>
<dataEOP>
<pole>
<X>-0.019700</X>
<sigma_X>0.024893</sigma_X>
<Y>0.264747</Y>
<sigma_Y>0.016864</sigma_Y>
</pole>
<nutation>
<dPsi>0.116952</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006664</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>30652.200</MJD>
</time>
<dataEOP>
<pole>
<X>-0.025549</X>
<sigma_X>0.025736</sigma_X>
<Y>0.238327</Y>
<sigma_Y>0.019757</sigma_Y>
</pole>
<nutation>
<dPsi>0.118163</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007570</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>30670.462</MJD>
</time>
<dataEOP>
<pole>
<X>-0.038738</X>
<sigma_X>0.028543</sigma_X>
<Y>0.253515</Y>
<sigma_Y>0.020519</sigma_Y>
</pole>
<nutation>
<dPsi>0.120587</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009128</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>30688.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.014848</X>
<sigma_X>0.033968</sigma_X>
<Y>0.272871</Y>
<sigma_Y>0.021041</sigma_Y>
</pole>
<nutation>
<dPsi>0.121435</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009229</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1942</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>30706.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.033131</X>
<sigma_X>0.032035</sigma_X>
<Y>0.295852</Y>
<sigma_Y>0.023433</sigma_Y>
</pole>
<nutation>
<dPsi>0.122102</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010371</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>30725.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.012838</X>
<sigma_X>0.037168</sigma_X>
<Y>0.326995</Y>
<sigma_Y>0.024509</sigma_Y>
</pole>
<nutation>
<dPsi>0.122354</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010359</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>30743.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.004341</X>
<sigma_X>0.035160</sigma_X>
<Y>0.325645</Y>
<sigma_Y>0.022764</sigma_Y>
</pole>
<nutation>
<dPsi>0.122258</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010301</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>30761.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.024737</X>
<sigma_X>0.035632</sigma_X>
<Y>0.299811</Y>
<sigma_Y>0.021745</sigma_Y>
</pole>
<nutation>
<dPsi>0.122519</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009789</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>30780.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.006249</X>
<sigma_X>0.032144</sigma_X>
<Y>0.310045</Y>
<sigma_Y>0.017548</sigma_Y>
</pole>
<nutation>
<dPsi>0.122762</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009075</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>30798.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000045</X>
<sigma_X>0.036709</sigma_X>
<Y>0.286533</Y>
<sigma_Y>0.020578</sigma_Y>
</pole>
<nutation>
<dPsi>0.122978</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007645</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>30816.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.039228</X>
<sigma_X>0.029436</sigma_X>
<Y>0.297464</Y>
<sigma_Y>0.016371</sigma_Y>
</pole>
<nutation>
<dPsi>0.124615</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007435</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>30834.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.018784</X>
<sigma_X>0.040201</sigma_X>
<Y>0.226782</Y>
<sigma_Y>0.021869</sigma_Y>
</pole>
<nutation>
<dPsi>0.124684</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007012</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>30853.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.078144</X>
<sigma_X>0.039505</sigma_X>
<Y>0.236642</Y>
<sigma_Y>0.021766</sigma_Y>
</pole>
<nutation>
<dPsi>0.123998</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006296</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>30871.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.071640</X>
<sigma_X>0.038411</sigma_X>
<Y>0.246187</Y>
<sigma_Y>0.020568</sigma_Y>
</pole>
<nutation>
<dPsi>0.123190</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006720</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>30889.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.074349</X>
<sigma_X>0.030608</sigma_X>
<Y>0.204795</Y>
<sigma_Y>0.015908</sigma_Y>
</pole>
<nutation>
<dPsi>0.120615</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006856</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>30907.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.102632</X>
<sigma_X>0.042279</sigma_X>
<Y>0.141577</Y>
<sigma_Y>0.020928</sigma_Y>
</pole>
<nutation>
<dPsi>0.118482</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006516</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>30926.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.026721</X>
<sigma_X>0.048823</sigma_X>
<Y>0.118281</Y>
<sigma_Y>0.021590</sigma_Y>
</pole>
<nutation>
<dPsi>0.115633</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007260</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>30944.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.077130</X>
<sigma_X>0.029900</sigma_X>
<Y>0.150971</Y>
<sigma_Y>0.015185</sigma_Y>
</pole>
<nutation>
<dPsi>0.113360</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007152</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>30962.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.073436</X>
<sigma_X>0.033435</sigma_X>
<Y>0.130366</Y>
<sigma_Y>0.015148</sigma_Y>
</pole>
<nutation>
<dPsi>0.111109</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006650</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>30980.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.071794</X>
<sigma_X>0.039699</sigma_X>
<Y>0.142553</Y>
<sigma_Y>0.015383</sigma_Y>
</pole>
<nutation>
<dPsi>0.111291</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007707</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>30999.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.084337</X>
<sigma_X>0.039076</sigma_X>
<Y>0.172680</Y>
<sigma_Y>0.016136</sigma_Y>
</pole>
<nutation>
<dPsi>0.112417</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008068</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>31017.450</MJD>
</time>
<dataEOP>
<pole>
<X>-0.065239</X>
<sigma_X>0.039338</sigma_X>
<Y>0.125384</Y>
<sigma_Y>0.021396</sigma_Y>
</pole>
<nutation>
<dPsi>0.113810</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008128</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>31035.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.040567</X>
<sigma_X>0.035960</sigma_X>
<Y>0.188230</Y>
<sigma_Y>0.017117</sigma_Y>
</pole>
<nutation>
<dPsi>0.115794</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009871</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>31053.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.069242</X>
<sigma_X>0.036959</sigma_X>
<Y>0.236691</Y>
<sigma_Y>0.015015</sigma_Y>
</pole>
<nutation>
<dPsi>0.117013</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011226</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1943</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>31072.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.130220</X>
<sigma_X>0.043457</sigma_X>
<Y>0.175631</Y>
<sigma_Y>0.018003</sigma_Y>
</pole>
<nutation>
<dPsi>0.117870</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011007</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>31090.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.140736</X>
<sigma_X>0.055449</sigma_X>
<Y>0.160939</Y>
<sigma_Y>0.022981</sigma_Y>
</pole>
<nutation>
<dPsi>0.118721</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011906</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>31108.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.082137</X>
<sigma_X>0.048854</sigma_X>
<Y>0.161946</Y>
<sigma_Y>0.023451</sigma_Y>
</pole>
<nutation>
<dPsi>0.118277</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011166</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>31127.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.226296</X>
<sigma_X>0.046156</sigma_X>
<Y>0.167585</Y>
<sigma_Y>0.019464</sigma_Y>
</pole>
<nutation>
<dPsi>0.118714</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010650</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>31145.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.219364</X>
<sigma_X>0.048888</sigma_X>
<Y>0.204989</Y>
<sigma_Y>0.021066</sigma_Y>
</pole>
<nutation>
<dPsi>0.119595</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009796</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>31163.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.173326</X>
<sigma_X>0.051644</sigma_X>
<Y>0.242587</Y>
<sigma_Y>0.023745</sigma_Y>
</pole>
<nutation>
<dPsi>0.119516</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009170</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>31181.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.060532</X>
<sigma_X>0.056492</sigma_X>
<Y>0.216110</Y>
<sigma_Y>0.027552</sigma_Y>
</pole>
<nutation>
<dPsi>0.120050</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007557</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>31200.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.039668</X>
<sigma_X>0.052830</sigma_X>
<Y>0.227725</Y>
<sigma_Y>0.030099</sigma_Y>
</pole>
<nutation>
<dPsi>0.121599</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007910</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>31218.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000983</X>
<sigma_X>0.044419</sigma_X>
<Y>0.156855</Y>
<sigma_Y>0.021918</sigma_Y>
</pole>
<nutation>
<dPsi>0.120509</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007735</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>31236.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.082095</X>
<sigma_X>0.036017</sigma_X>
<Y>0.264817</Y>
<sigma_Y>0.020085</sigma_Y>
</pole>
<nutation>
<dPsi>0.119635</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007278</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>31254.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.151472</X>
<sigma_X>0.038886</sigma_X>
<Y>0.278762</Y>
<sigma_Y>0.017836</sigma_Y>
</pole>
<nutation>
<dPsi>0.118067</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007909</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>31273.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.146159</X>
<sigma_X>0.037613</sigma_X>
<Y>0.215719</Y>
<sigma_Y>0.016486</sigma_Y>
</pole>
<nutation>
<dPsi>0.113680</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008218</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>31291.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.208222</X>
<sigma_X>0.039990</sigma_X>
<Y>0.164845</Y>
<sigma_Y>0.017608</sigma_Y>
</pole>
<nutation>
<dPsi>0.112000</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007414</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>31309.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.203072</X>
<sigma_X>0.030213</sigma_X>
<Y>0.096193</Y>
<sigma_Y>0.015609</sigma_Y>
</pole>
<nutation>
<dPsi>0.109387</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008065</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>31327.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.193814</X>
<sigma_X>0.034784</sigma_X>
<Y>0.067203</Y>
<sigma_Y>0.015769</sigma_Y>
</pole>
<nutation>
<dPsi>0.108712</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007993</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>31346.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.180510</X>
<sigma_X>0.038392</sigma_X>
<Y>0.026414</Y>
<sigma_Y>0.017844</sigma_Y>
</pole>
<nutation>
<dPsi>0.107328</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007690</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>31364.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.070794</X>
<sigma_X>0.035369</sigma_X>
<Y>-0.000491</Y>
<sigma_Y>0.020280</sigma_Y>
</pole>
<nutation>
<dPsi>0.109106</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009300</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>31382.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.021570</X>
<sigma_X>0.033036</sigma_X>
<Y>-0.000867</Y>
<sigma_Y>0.016274</sigma_Y>
</pole>
<nutation>
<dPsi>0.111072</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009673</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>31400.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.069022</X>
<sigma_X>0.035019</sigma_X>
<Y>0.013424</Y>
<sigma_Y>0.016276</sigma_Y>
</pole>
<nutation>
<dPsi>0.112517</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010071</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>31419.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.103789</X>
<sigma_X>0.037696</sigma_X>
<Y>0.035010</Y>
<sigma_Y>0.021273</sigma_Y>
</pole>
<nutation>
<dPsi>0.114474</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011743</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>31437.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.110494</X>
<sigma_X>0.038050</sigma_X>
<Y>0.098182</Y>
<sigma_Y>0.017017</sigma_Y>
</pole>
<nutation>
<dPsi>0.114612</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012791</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1944</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>31455.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.102234</X>
<sigma_X>0.064565</sigma_X>
<Y>0.160289</Y>
<sigma_Y>0.029654</sigma_Y>
</pole>
<nutation>
<dPsi>0.115670</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012365</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>31474.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.185247</X>
<sigma_X>0.040991</sigma_X>
<Y>0.183399</Y>
<sigma_Y>0.025846</sigma_Y>
</pole>
<nutation>
<dPsi>0.116327</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012430</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>31492.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.233983</X>
<sigma_X>0.044752</sigma_X>
<Y>0.257383</Y>
<sigma_Y>0.021253</sigma_Y>
</pole>
<nutation>
<dPsi>0.115727</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011806</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>31510.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.226956</X>
<sigma_X>0.046331</sigma_X>
<Y>0.268589</Y>
<sigma_Y>0.023174</sigma_Y>
</pole>
<nutation>
<dPsi>0.116725</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010673</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>31528.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.155931</X>
<sigma_X>0.046965</sigma_X>
<Y>0.312200</Y>
<sigma_Y>0.024448</sigma_Y>
</pole>
<nutation>
<dPsi>0.118227</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009797</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>31547.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.145820</X>
<sigma_X>0.044295</sigma_X>
<Y>0.367044</Y>
<sigma_Y>0.022987</sigma_Y>
</pole>
<nutation>
<dPsi>0.118005</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009265</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>31565.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.139138</X>
<sigma_X>0.035450</sigma_X>
<Y>0.421726</Y>
<sigma_Y>0.020847</sigma_Y>
</pole>
<nutation>
<dPsi>0.118343</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008019</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>31583.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.079427</X>
<sigma_X>0.037167</sigma_X>
<Y>0.424857</Y>
<sigma_Y>0.017724</sigma_Y>
</pole>
<nutation>
<dPsi>0.118978</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008328</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>31601.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.002352</X>
<sigma_X>0.033324</sigma_X>
<Y>0.428690</Y>
<sigma_Y>0.017943</sigma_Y>
</pole>
<nutation>
<dPsi>0.116903</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008418</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>31620.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.051584</X>
<sigma_X>0.041528</sigma_X>
<Y>0.424872</Y>
<sigma_Y>0.019184</sigma_Y>
</pole>
<nutation>
<dPsi>0.115578</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008018</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>31638.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.156086</X>
<sigma_X>0.034162</sigma_X>
<Y>0.379178</Y>
<sigma_Y>0.017063</sigma_Y>
</pole>
<nutation>
<dPsi>0.112820</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008609</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>31656.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.180826</X>
<sigma_X>0.038638</sigma_X>
<Y>0.323651</Y>
<sigma_Y>0.019974</sigma_Y>
</pole>
<nutation>
<dPsi>0.108774</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008994</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>31674.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.211329</X>
<sigma_X>0.036506</sigma_X>
<Y>0.277284</Y>
<sigma_Y>0.018520</sigma_Y>
</pole>
<nutation>
<dPsi>0.107662</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008290</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>31693.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.219547</X>
<sigma_X>0.035940</sigma_X>
<Y>0.229459</Y>
<sigma_Y>0.015441</sigma_Y>
</pole>
<nutation>
<dPsi>0.106224</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008783</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>31711.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.250903</X>
<sigma_X>0.044304</sigma_X>
<Y>0.134068</Y>
<sigma_Y>0.021058</sigma_Y>
</pole>
<nutation>
<dPsi>0.106653</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009048</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>31729.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.313633</X>
<sigma_X>0.053071</sigma_X>
<Y>0.056006</Y>
<sigma_Y>0.022925</sigma_Y>
</pole>
<nutation>
<dPsi>0.106460</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009249</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>31747.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.230793</X>
<sigma_X>0.040433</sigma_X>
<Y>0.013821</Y>
<sigma_Y>0.016636</sigma_Y>
</pole>
<nutation>
<dPsi>0.109002</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010688</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>31766.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.117764</X>
<sigma_X>0.040193</sigma_X>
<Y>-0.002312</Y>
<sigma_Y>0.021314</sigma_Y>
</pole>
<nutation>
<dPsi>0.111152</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010956</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>31784.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.037904</X>
<sigma_X>0.041719</sigma_X>
<Y>-0.023016</Y>
<sigma_Y>0.023565</sigma_Y>
</pole>
<nutation>
<dPsi>0.112922</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011721</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1945</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>31802.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.020774</X>
<sigma_X>0.052400</sigma_X>
<Y>-0.040122</Y>
<sigma_Y>0.025539</sigma_Y>
</pole>
<nutation>
<dPsi>0.114123</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012598</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>31821.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.078578</X>
<sigma_X>0.054148</sigma_X>
<Y>-0.006117</Y>
<sigma_Y>0.028310</sigma_Y>
</pole>
<nutation>
<dPsi>0.113817</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013432</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>31839.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.220172</X>
<sigma_X>0.046363</sigma_X>
<Y>0.030068</Y>
<sigma_Y>0.021908</sigma_Y>
</pole>
<nutation>
<dPsi>0.114561</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012748</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>31857.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.207395</X>
<sigma_X>0.040944</sigma_X>
<Y>0.075698</Y>
<sigma_Y>0.020991</sigma_Y>
</pole>
<nutation>
<dPsi>0.114872</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012307</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>31875.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.244233</X>
<sigma_X>0.034419</sigma_X>
<Y>0.124990</Y>
<sigma_Y>0.016472</sigma_Y>
</pole>
<nutation>
<dPsi>0.114352</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011690</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>31894.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.336607</X>
<sigma_X>0.041390</sigma_X>
<Y>0.170881</Y>
<sigma_Y>0.022762</sigma_Y>
</pole>
<nutation>
<dPsi>0.116159</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010399</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>31912.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.254850</X>
<sigma_X>0.038622</sigma_X>
<Y>0.239420</Y>
<sigma_Y>0.016881</sigma_Y>
</pole>
<nutation>
<dPsi>0.117348</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009766</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>31930.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.266770</X>
<sigma_X>0.033206</sigma_X>
<Y>0.315844</Y>
<sigma_Y>0.018278</sigma_Y>
</pole>
<nutation>
<dPsi>0.116810</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009281</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>31948.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.224689</X>
<sigma_X>0.034182</sigma_X>
<Y>0.354479</Y>
<sigma_Y>0.019897</sigma_Y>
</pole>
<nutation>
<dPsi>0.116838</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008400</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>31967.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.095648</X>
<sigma_X>0.035315</sigma_X>
<Y>0.419556</Y>
<sigma_Y>0.016325</sigma_Y>
</pole>
<nutation>
<dPsi>0.115837</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008497</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>31985.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.088035</X>
<sigma_X>0.029201</sigma_X>
<Y>0.471687</Y>
<sigma_Y>0.020100</sigma_Y>
</pole>
<nutation>
<dPsi>0.113398</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008675</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>32003.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.042729</X>
<sigma_X>0.023035</sigma_X>
<Y>0.447097</Y>
<sigma_Y>0.017852</sigma_Y>
</pole>
<nutation>
<dPsi>0.111336</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008331</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>32021.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.084054</X>
<sigma_X>0.020165</sigma_X>
<Y>0.429162</Y>
<sigma_Y>0.016590</sigma_Y>
</pole>
<nutation>
<dPsi>0.108410</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008980</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>32040.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.127383</X>
<sigma_X>0.024240</sigma_X>
<Y>0.436915</Y>
<sigma_Y>0.016219</sigma_Y>
</pole>
<nutation>
<dPsi>0.105373</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009108</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>32058.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.191519</X>
<sigma_X>0.024788</sigma_X>
<Y>0.399173</Y>
<sigma_Y>0.016191</sigma_Y>
</pole>
<nutation>
<dPsi>0.104896</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009298</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>32076.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.278728</X>
<sigma_X>0.028265</sigma_X>
<Y>0.311642</Y>
<sigma_Y>0.022702</sigma_Y>
</pole>
<nutation>
<dPsi>0.104823</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009389</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>32094.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.349456</X>
<sigma_X>0.023914</sigma_X>
<Y>0.303692</Y>
<sigma_Y>0.018304</sigma_Y>
</pole>
<nutation>
<dPsi>0.105716</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009945</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>32113.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.321235</X>
<sigma_X>0.024944</sigma_X>
<Y>0.251379</Y>
<sigma_Y>0.017302</sigma_Y>
</pole>
<nutation>
<dPsi>0.107552</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010648</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>32131.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.301019</X>
<sigma_X>0.036894</sigma_X>
<Y>0.121979</Y>
<sigma_Y>0.023221</sigma_Y>
</pole>
<nutation>
<dPsi>0.109414</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011708</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>32149.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.285157</X>
<sigma_X>0.034897</sigma_X>
<Y>0.080309</Y>
<sigma_Y>0.024297</sigma_Y>
</pole>
<nutation>
<dPsi>0.111641</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011893</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1946</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>32167.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.241164</X>
<sigma_X>0.038877</sigma_X>
<Y>0.023430</Y>
<sigma_Y>0.029969</sigma_Y>
</pole>
<nutation>
<dPsi>0.113297</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012662</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>32186.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.157099</X>
<sigma_X>0.035506</sigma_X>
<Y>0.048594</Y>
<sigma_Y>0.026814</sigma_Y>
</pole>
<nutation>
<dPsi>0.114085</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012843</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>32204.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.097908</X>
<sigma_X>0.039311</sigma_X>
<Y>0.053626</Y>
<sigma_Y>0.026620</sigma_Y>
</pole>
<nutation>
<dPsi>0.113541</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013098</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>32222.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.020208</X>
<sigma_X>0.032345</sigma_X>
<Y>-0.001952</Y>
<sigma_Y>0.021392</sigma_Y>
</pole>
<nutation>
<dPsi>0.114259</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012322</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>32241.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.067815</X>
<sigma_X>0.034946</sigma_X>
<Y>0.034524</Y>
<sigma_Y>0.020225</sigma_Y>
</pole>
<nutation>
<dPsi>0.114589</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011790</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>32259.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.147823</X>
<sigma_X>0.031827</sigma_X>
<Y>-0.002601</Y>
<sigma_Y>0.021809</sigma_Y>
</pole>
<nutation>
<dPsi>0.114476</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010815</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>32277.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.160084</X>
<sigma_X>0.032062</sigma_X>
<Y>0.048283</Y>
<sigma_Y>0.023968</sigma_Y>
</pole>
<nutation>
<dPsi>0.116826</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009728</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>32295.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.204237</X>
<sigma_X>0.024180</sigma_X>
<Y>0.196915</Y>
<sigma_Y>0.019620</sigma_Y>
</pole>
<nutation>
<dPsi>0.116763</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009386</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>32314.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.259066</X>
<sigma_X>0.030355</sigma_X>
<Y>0.233466</Y>
<sigma_Y>0.020837</sigma_Y>
</pole>
<nutation>
<dPsi>0.116417</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008893</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>32332.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.200931</X>
<sigma_X>0.023106</sigma_X>
<Y>0.272093</Y>
<sigma_Y>0.018273</sigma_Y>
</pole>
<nutation>
<dPsi>0.116053</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008328</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>32350.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.181593</X>
<sigma_X>0.026358</sigma_X>
<Y>0.320372</Y>
<sigma_Y>0.019597</sigma_Y>
</pole>
<nutation>
<dPsi>0.113492</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008741</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>32368.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.119054</X>
<sigma_X>0.034489</sigma_X>
<Y>0.382194</Y>
<sigma_Y>0.019455</sigma_Y>
</pole>
<nutation>
<dPsi>0.110804</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008560</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>32387.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.043023</X>
<sigma_X>0.027584</sigma_X>
<Y>0.404870</Y>
<sigma_Y>0.018357</sigma_Y>
</pole>
<nutation>
<dPsi>0.108175</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008695</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>32405.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.065120</X>
<sigma_X>0.021626</sigma_X>
<Y>0.441509</Y>
<sigma_Y>0.019150</sigma_Y>
</pole>
<nutation>
<dPsi>0.106084</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009236</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>32423.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.106192</X>
<sigma_X>0.023433</sigma_X>
<Y>0.464991</Y>
<sigma_Y>0.018778</sigma_Y>
</pole>
<nutation>
<dPsi>0.103754</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008984</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>32441.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.157805</X>
<sigma_X>0.025967</sigma_X>
<Y>0.459573</Y>
<sigma_Y>0.016371</sigma_Y>
</pole>
<nutation>
<dPsi>0.104493</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010194</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>32460.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.210546</X>
<sigma_X>0.024670</sigma_X>
<Y>0.430256</Y>
<sigma_Y>0.014618</sigma_Y>
</pole>
<nutation>
<dPsi>0.105141</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009989</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>32478.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.259224</X>
<sigma_X>0.026947</sigma_X>
<Y>0.417258</Y>
<sigma_Y>0.017275</sigma_Y>
</pole>
<nutation>
<dPsi>0.106615</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010668</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>32496.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.268038</X>
<sigma_X>0.023542</sigma_X>
<Y>0.400070</Y>
<sigma_Y>0.018637</sigma_Y>
</pole>
<nutation>
<dPsi>0.109666</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011671</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>32514.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.245013</X>
<sigma_X>0.038799</sigma_X>
<Y>0.334094</Y>
<sigma_Y>0.026024</sigma_Y>
</pole>
<nutation>
<dPsi>0.110005</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012791</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1947</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>32533.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.272984</X>
<sigma_X>0.031089</sigma_X>
<Y>0.308723</Y>
<sigma_Y>0.019378</sigma_Y>
</pole>
<nutation>
<dPsi>0.111998</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012596</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>32551.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.236029</X>
<sigma_X>0.037735</sigma_X>
<Y>0.303000</Y>
<sigma_Y>0.020502</sigma_Y>
</pole>
<nutation>
<dPsi>0.113216</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013256</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>32569.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.198585</X>
<sigma_X>0.028317</sigma_X>
<Y>0.241836</Y>
<sigma_Y>0.020002</sigma_Y>
</pole>
<nutation>
<dPsi>0.113640</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013237</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>32588.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.229330</X>
<sigma_X>0.027878</sigma_X>
<Y>0.192253</Y>
<sigma_Y>0.022028</sigma_Y>
</pole>
<nutation>
<dPsi>0.113064</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012522</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>32606.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.152552</X>
<sigma_X>0.028002</sigma_X>
<Y>0.107753</Y>
<sigma_Y>0.020577</sigma_Y>
</pole>
<nutation>
<dPsi>0.114343</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011732</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>32624.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.186624</X>
<sigma_X>0.023029</sigma_X>
<Y>0.105505</Y>
<sigma_Y>0.018118</sigma_Y>
</pole>
<nutation>
<dPsi>0.114556</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011111</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>32642.812</MJD>
</time>
<dataEOP>
<pole>
<X>0.132088</X>
<sigma_X>0.026508</sigma_X>
<Y>0.079078</Y>
<sigma_Y>0.021917</sigma_Y>
</pole>
<nutation>
<dPsi>0.114925</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009690</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>32661.075</MJD>
</time>
<dataEOP>
<pole>
<X>0.084357</X>
<sigma_X>0.027351</sigma_X>
<Y>0.051719</Y>
<sigma_Y>0.023241</sigma_Y>
</pole>
<nutation>
<dPsi>0.117038</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009026</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>32679.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.008347</X>
<sigma_X>0.025907</sigma_X>
<Y>0.070831</Y>
<sigma_Y>0.018334</sigma_Y>
</pole>
<nutation>
<dPsi>0.115438</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009262</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>32697.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028207</X>
<sigma_X>0.024284</sigma_X>
<Y>0.079667</Y>
<sigma_Y>0.022701</sigma_Y>
</pole>
<nutation>
<dPsi>0.114929</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008731</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>32715.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.059215</X>
<sigma_X>0.023948</sigma_X>
<Y>0.129921</Y>
<sigma_Y>0.019836</sigma_Y>
</pole>
<nutation>
<dPsi>0.113418</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008808</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>32734.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.046860</X>
<sigma_X>0.023052</sigma_X>
<Y>0.128669</Y>
<sigma_Y>0.018165</sigma_Y>
</pole>
<nutation>
<dPsi>0.109650</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009480</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>32752.387</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062126</X>
<sigma_X>0.026866</sigma_X>
<Y>0.121982</Y>
<sigma_Y>0.018014</sigma_Y>
</pole>
<nutation>
<dPsi>0.107241</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008618</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>32770.650</MJD>
</time>
<dataEOP>
<pole>
<X>-0.066546</X>
<sigma_X>0.020818</sigma_X>
<Y>0.197965</Y>
<sigma_Y>0.018250</sigma_Y>
</pole>
<nutation>
<dPsi>0.105298</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009193</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>32788.912</MJD>
</time>
<dataEOP>
<pole>
<X>-0.080836</X>
<sigma_X>0.023088</sigma_X>
<Y>0.249680</Y>
<sigma_Y>0.014797</sigma_Y>
</pole>
<nutation>
<dPsi>0.104228</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009432</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>32807.175</MJD>
</time>
<dataEOP>
<pole>
<X>-0.121595</X>
<sigma_X>0.021304</sigma_X>
<Y>0.241822</Y>
<sigma_Y>0.016014</sigma_Y>
</pole>
<nutation>
<dPsi>0.103159</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009097</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>32825.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.078871</X>
<sigma_X>0.021178</sigma_X>
<Y>0.297402</Y>
<sigma_Y>0.020438</sigma_Y>
</pole>
<nutation>
<dPsi>0.105156</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010697</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>32843.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.035461</X>
<sigma_X>0.023065</sigma_X>
<Y>0.335579</Y>
<sigma_Y>0.019388</sigma_Y>
</pole>
<nutation>
<dPsi>0.106141</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010644</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>32861.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.044057</X>
<sigma_X>0.023163</sigma_X>
<Y>0.367925</Y>
<sigma_Y>0.020841</sigma_Y>
</pole>
<nutation>
<dPsi>0.108208</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011025</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>32880.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.002713</X>
<sigma_X>0.024616</sigma_X>
<Y>0.415638</Y>
<sigma_Y>0.020051</sigma_Y>
</pole>
<nutation>
<dPsi>0.111435</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012145</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>32898.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.006858</X>
<sigma_X>0.023170</sigma_X>
<Y>0.457642</Y>
<sigma_Y>0.023995</sigma_Y>
</pole>
<nutation>
<dPsi>0.110895</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013342</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1948</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>32916.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.031483</X>
<sigma_X>0.036990</sigma_X>
<Y>0.391697</Y>
<sigma_Y>0.026065</sigma_Y>
</pole>
<nutation>
<dPsi>0.112609</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012781</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>32935.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.067693</X>
<sigma_X>0.027685</sigma_X>
<Y>0.409232</Y>
<sigma_Y>0.023148</sigma_Y>
</pole>
<nutation>
<dPsi>0.113227</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.013159</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>32953.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.046696</X>
<sigma_X>0.025468</sigma_X>
<Y>0.353776</Y>
<sigma_Y>0.028445</sigma_Y>
</pole>
<nutation>
<dPsi>0.112972</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012757</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>32971.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.145139</X>
<sigma_X>0.021465</sigma_X>
<Y>0.358191</Y>
<sigma_Y>0.022582</sigma_Y>
</pole>
<nutation>
<dPsi>0.113104</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011310</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>32989.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.183891</X>
<sigma_X>0.024446</sigma_X>
<Y>0.303186</Y>
<sigma_Y>0.020472</sigma_Y>
</pole>
<nutation>
<dPsi>0.114917</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010468</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>33008.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.183913</X>
<sigma_X>0.018416</sigma_X>
<Y>0.249309</Y>
<sigma_Y>0.021299</sigma_Y>
</pole>
<nutation>
<dPsi>0.115041</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009714</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>33026.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.183127</X>
<sigma_X>0.016111</sigma_X>
<Y>0.203657</Y>
<sigma_Y>0.017193</sigma_Y>
</pole>
<nutation>
<dPsi>0.115527</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008252</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>33044.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.157135</X>
<sigma_X>0.017361</sigma_X>
<Y>0.158796</Y>
<sigma_Y>0.017392</sigma_Y>
</pole>
<nutation>
<dPsi>0.116396</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008217</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>33062.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.159637</X>
<sigma_X>0.016188</sigma_X>
<Y>0.130691</Y>
<sigma_Y>0.017097</sigma_Y>
</pole>
<nutation>
<dPsi>0.113739</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008672</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>33081.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.119345</X>
<sigma_X>0.026373</sigma_X>
<Y>0.064131</Y>
<sigma_Y>0.019912</sigma_Y>
</pole>
<nutation>
<dPsi>0.112446</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008403</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>33099.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.168444</X>
<sigma_X>0.018740</sigma_X>
<Y>0.050323</Y>
<sigma_Y>0.020683</sigma_Y>
</pole>
<nutation>
<dPsi>0.109457</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008881</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>33117.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.097744</X>
<sigma_X>0.019699</sigma_X>
<Y>0.056442</Y>
<sigma_Y>0.019970</sigma_Y>
</pole>
<nutation>
<dPsi>0.105644</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009176</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>33135.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.058862</X>
<sigma_X>0.018522</sigma_X>
<Y>0.041693</Y>
<sigma_Y>0.020102</sigma_Y>
</pole>
<nutation>
<dPsi>0.104163</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008465</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>33154.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.029901</X>
<sigma_X>0.018308</sigma_X>
<Y>0.039820</Y>
<sigma_Y>0.016238</sigma_Y>
</pole>
<nutation>
<dPsi>0.102974</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009089</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>33172.425</MJD>
</time>
<dataEOP>
<pole>
<X>-0.068401</X>
<sigma_X>0.015315</sigma_X>
<Y>0.023672</Y>
<sigma_Y>0.015097</sigma_Y>
</pole>
<nutation>
<dPsi>0.102711</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009072</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>33190.687</MJD>
</time>
<dataEOP>
<pole>
<X>-0.105054</X>
<sigma_X>0.016703</sigma_X>
<Y>0.076622</Y>
<sigma_Y>0.016292</sigma_Y>
</pole>
<nutation>
<dPsi>0.103359</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009124</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>33208.950</MJD>
</time>
<dataEOP>
<pole>
<X>-0.151096</X>
<sigma_X>0.020120</sigma_X>
<Y>0.118312</Y>
<sigma_Y>0.021021</sigma_Y>
</pole>
<nutation>
<dPsi>0.105672</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010459</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>33227.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.191343</X>
<sigma_X>0.027107</sigma_X>
<Y>0.196672</Y>
<sigma_Y>0.021087</sigma_Y>
</pole>
<nutation>
<dPsi>0.107035</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010729</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>33245.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.187773</X>
<sigma_X>0.026409</sigma_X>
<Y>0.276366</Y>
<sigma_Y>0.013245</sigma_Y>
</pole>
<nutation>
<dPsi>0.109105</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011179</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1949</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>33263.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.237384</X>
<sigma_X>0.030488</sigma_X>
<Y>0.331886</Y>
<sigma_Y>0.019138</sigma_Y>
</pole>
<nutation>
<dPsi>0.111278</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012201</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>33282.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.188596</X>
<sigma_X>0.027654</sigma_X>
<Y>0.403028</Y>
<sigma_Y>0.017070</sigma_Y>
</pole>
<nutation>
<dPsi>0.110425</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012781</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>33300.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.147793</X>
<sigma_X>0.021787</sigma_X>
<Y>0.421609</Y>
<sigma_Y>0.015718</sigma_Y>
</pole>
<nutation>
<dPsi>0.111678</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012455</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>33318.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.079463</X>
<sigma_X>0.021172</sigma_X>
<Y>0.492492</Y>
<sigma_Y>0.014595</sigma_Y>
</pole>
<nutation>
<dPsi>0.111735</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012194</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>33336.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.029796</X>
<sigma_X>0.021819</sigma_X>
<Y>0.525473</Y>
<sigma_Y>0.014937</sigma_Y>
</pole>
<nutation>
<dPsi>0.111904</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011256</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>33355.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.040799</X>
<sigma_X>0.019024</sigma_X>
<Y>0.499311</Y>
<sigma_Y>0.016619</sigma_Y>
</pole>
<nutation>
<dPsi>0.113123</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009816</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>33373.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.108175</X>
<sigma_X>0.019743</sigma_X>
<Y>0.489745</Y>
<sigma_Y>0.013334</sigma_Y>
</pole>
<nutation>
<dPsi>0.114656</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009321</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>33391.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.178837</X>
<sigma_X>0.016882</sigma_X>
<Y>0.463598</Y>
<sigma_Y>0.013276</sigma_Y>
</pole>
<nutation>
<dPsi>0.114826</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008312</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>33409.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.241152</X>
<sigma_X>0.015929</sigma_X>
<Y>0.427380</Y>
<sigma_Y>0.013888</sigma_Y>
</pole>
<nutation>
<dPsi>0.114962</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007585</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>33428.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.259337</X>
<sigma_X>0.019493</sigma_X>
<Y>0.330969</Y>
<sigma_Y>0.017996</sigma_Y>
</pole>
<nutation>
<dPsi>0.114353</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007952</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>33446.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.272660</X>
<sigma_X>0.023071</sigma_X>
<Y>0.246592</Y>
<sigma_Y>0.017845</sigma_Y>
</pole>
<nutation>
<dPsi>0.111302</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007925</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>33464.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.297730</X>
<sigma_X>0.019456</sigma_X>
<Y>0.166486</Y>
<sigma_Y>0.016360</sigma_Y>
</pole>
<nutation>
<dPsi>0.109400</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008492</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>33482.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.353979</X>
<sigma_X>0.017612</sigma_X>
<Y>0.199042</Y>
<sigma_Y>0.014627</sigma_Y>
</pole>
<nutation>
<dPsi>0.105783</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008761</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>33501.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.353431</X>
<sigma_X>0.016412</sigma_X>
<Y>0.089275</Y>
<sigma_Y>0.012472</sigma_Y>
</pole>
<nutation>
<dPsi>0.102961</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008727</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>33519.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.257376</X>
<sigma_X>0.017789</sigma_X>
<Y>-0.004726</Y>
<sigma_Y>0.014801</sigma_Y>
</pole>
<nutation>
<dPsi>0.102411</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008682</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>33537.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.186909</X>
<sigma_X>0.019231</sigma_X>
<Y>-0.045754</Y>
<sigma_Y>0.016271</sigma_Y>
</pole>
<nutation>
<dPsi>0.101576</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009096</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>33555.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.063260</X>
<sigma_X>0.015780</sigma_X>
<Y>-0.080627</Y>
<sigma_Y>0.013723</sigma_Y>
</pole>
<nutation>
<dPsi>0.102272</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008974</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>33574.200</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028263</X>
<sigma_X>0.019795</sigma_X>
<Y>-0.105142</Y>
<sigma_Y>0.014084</sigma_Y>
</pole>
<nutation>
<dPsi>0.104475</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009559</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>33592.462</MJD>
</time>
<dataEOP>
<pole>
<X>-0.105097</X>
<sigma_X>0.022272</sigma_X>
<Y>-0.101782</Y>
<sigma_Y>0.013503</sigma_Y>
</pole>
<nutation>
<dPsi>0.106337</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010602</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>33610.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.205387</X>
<sigma_X>0.021483</sigma_X>
<Y>-0.064937</Y>
<sigma_Y>0.016142</sigma_Y>
</pole>
<nutation>
<dPsi>0.107571</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010833</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1950</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>33628.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.253805</X>
<sigma_X>0.036996</sigma_X>
<Y>-0.009046</Y>
<sigma_Y>0.016822</sigma_Y>
</pole>
<nutation>
<dPsi>0.108804</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011603</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>33647.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.330648</X>
<sigma_X>0.024172</sigma_X>
<Y>0.110430</Y>
<sigma_Y>0.015422</sigma_Y>
</pole>
<nutation>
<dPsi>0.110035</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.012124</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>33665.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.303771</X>
<sigma_X>0.022225</sigma_X>
<Y>0.208458</Y>
<sigma_Y>0.014412</sigma_Y>
</pole>
<nutation>
<dPsi>0.109239</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011709</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>33683.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.325174</X>
<sigma_X>0.019234</sigma_X>
<Y>0.302831</Y>
<sigma_Y>0.015469</sigma_Y>
</pole>
<nutation>
<dPsi>0.110252</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011559</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>33702.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.320713</X>
<sigma_X>0.020938</sigma_X>
<Y>0.374914</Y>
<sigma_Y>0.014801</sigma_Y>
</pole>
<nutation>
<dPsi>0.110167</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010779</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>33720.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.202007</X>
<sigma_X>0.022961</sigma_X>
<Y>0.458095</Y>
<sigma_Y>0.014935</sigma_Y>
</pole>
<nutation>
<dPsi>0.110838</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009604</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>33738.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.143146</X>
<sigma_X>0.019067</sigma_X>
<Y>0.509637</Y>
<sigma_Y>0.015367</sigma_Y>
</pole>
<nutation>
<dPsi>0.112422</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008279</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>33756.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.065970</X>
<sigma_X>0.017563</sigma_X>
<Y>0.555549</Y>
<sigma_Y>0.014222</sigma_Y>
</pole>
<nutation>
<dPsi>0.112999</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008376</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>33775.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.047000</X>
<sigma_X>0.019679</sigma_X>
<Y>0.557323</Y>
<sigma_Y>0.013640</sigma_Y>
</pole>
<nutation>
<dPsi>0.112942</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007126</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>33793.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.158731</X>
<sigma_X>0.018093</sigma_X>
<Y>0.510490</Y>
<sigma_Y>0.014524</sigma_Y>
</pole>
<nutation>
<dPsi>0.112118</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007392</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>33811.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.229241</X>
<sigma_X>0.021943</sigma_X>
<Y>0.463051</Y>
<sigma_Y>0.014040</sigma_Y>
</pole>
<nutation>
<dPsi>0.110117</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007705</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>33829.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.304300</X>
<sigma_X>0.019146</sigma_X>
<Y>0.412516</Y>
<sigma_Y>0.013117</sigma_Y>
</pole>
<nutation>
<dPsi>0.106625</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007179</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>33848.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.361663</X>
<sigma_X>0.015058</sigma_X>
<Y>0.334128</Y>
<sigma_Y>0.013530</sigma_Y>
</pole>
<nutation>
<dPsi>0.104398</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008082</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>33866.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.417667</X>
<sigma_X>0.013688</sigma_X>
<Y>0.215741</Y>
<sigma_Y>0.011303</sigma_Y>
</pole>
<nutation>
<dPsi>0.101351</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008008</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>33884.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.412292</X>
<sigma_X>0.016563</sigma_X>
<Y>0.116546</Y>
<sigma_Y>0.012096</sigma_Y>
</pole>
<nutation>
<dPsi>0.099632</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007979</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>33902.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.366372</X>
<sigma_X>0.015942</sigma_X>
<Y>0.019618</Y>
<sigma_Y>0.011195</sigma_Y>
</pole>
<nutation>
<dPsi>0.100249</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008264</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>33921.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.321323</X>
<sigma_X>0.019730</sigma_X>
<Y>-0.069328</Y>
<sigma_Y>0.013469</sigma_Y>
</pole>
<nutation>
<dPsi>0.100372</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008781</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>33939.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.215050</X>
<sigma_X>0.017764</sigma_X>
<Y>-0.120709</Y>
<sigma_Y>0.012701</sigma_Y>
</pole>
<nutation>
<dPsi>0.101858</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008844</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>33957.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.144569</X>
<sigma_X>0.017690</sigma_X>
<Y>-0.161109</Y>
<sigma_Y>0.013887</sigma_Y>
</pole>
<nutation>
<dPsi>0.104535</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009681</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>33975.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.017781</X>
<sigma_X>0.022470</sigma_X>
<Y>-0.146817</Y>
<sigma_Y>0.015290</sigma_Y>
</pole>
<nutation>
<dPsi>0.105738</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010452</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1951</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>33994.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.076696</X>
<sigma_X>0.025172</sigma_X>
<Y>-0.157908</Y>
<sigma_Y>0.016219</sigma_Y>
</pole>
<nutation>
<dPsi>0.106874</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010507</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>34012.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.181015</X>
<sigma_X>0.026124</sigma_X>
<Y>-0.119482</Y>
<sigma_Y>0.014998</sigma_Y>
</pole>
<nutation>
<dPsi>0.107386</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011079</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>34030.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.261680</X>
<sigma_X>0.031452</sigma_X>
<Y>-0.066096</Y>
<sigma_Y>0.017164</sigma_Y>
</pole>
<nutation>
<dPsi>0.108202</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.011023</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>34049.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.312223</X>
<sigma_X>0.027045</sigma_X>
<Y>0.074222</Y>
<sigma_Y>0.015294</sigma_Y>
</pole>
<nutation>
<dPsi>0.107568</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010037</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>34067.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.344781</X>
<sigma_X>0.019821</sigma_X>
<Y>0.169293</Y>
<sigma_Y>0.014917</sigma_Y>
</pole>
<nutation>
<dPsi>0.108658</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009612</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>34085.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.362155</X>
<sigma_X>0.017695</sigma_X>
<Y>0.260417</Y>
<sigma_Y>0.013393</sigma_Y>
</pole>
<nutation>
<dPsi>0.108962</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008623</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>34103.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.329123</X>
<sigma_X>0.018146</sigma_X>
<Y>0.363554</Y>
<sigma_Y>0.014535</sigma_Y>
</pole>
<nutation>
<dPsi>0.109759</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007442</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>34122.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.221073</X>
<sigma_X>0.017855</sigma_X>
<Y>0.457493</Y>
<sigma_Y>0.013880</sigma_Y>
</pole>
<nutation>
<dPsi>0.110897</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006406</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>34140.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.199736</X>
<sigma_X>0.016587</sigma_X>
<Y>0.551560</Y>
<sigma_Y>0.014598</sigma_Y>
</pole>
<nutation>
<dPsi>0.110478</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006798</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>34158.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.150404</X>
<sigma_X>0.019443</sigma_X>
<Y>0.588007</Y>
<sigma_Y>0.013166</sigma_Y>
</pole>
<nutation>
<dPsi>0.109946</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006088</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>34176.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.066357</X>
<sigma_X>0.017213</sigma_X>
<Y>0.619976</Y>
<sigma_Y>0.012677</sigma_Y>
</pole>
<nutation>
<dPsi>0.107584</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006801</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>34195.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.089341</X>
<sigma_X>0.014276</sigma_X>
<Y>0.598156</Y>
<sigma_Y>0.012086</sigma_Y>
</pole>
<nutation>
<dPsi>0.104442</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006662</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>34213.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.186630</X>
<sigma_X>0.015007</sigma_X>
<Y>0.562647</Y>
<sigma_Y>0.011285</sigma_Y>
</pole>
<nutation>
<dPsi>0.101200</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006267</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>34231.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.317680</X>
<sigma_X>0.015778</sigma_X>
<Y>0.507593</Y>
<sigma_Y>0.013727</sigma_Y>
</pole>
<nutation>
<dPsi>0.099290</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006904</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>34249.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.395012</X>
<sigma_X>0.017753</sigma_X>
<Y>0.447120</Y>
<sigma_Y>0.012687</sigma_Y>
</pole>
<nutation>
<dPsi>0.097756</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006890</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>34268.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.403249</X>
<sigma_X>0.017949</sigma_X>
<Y>0.363494</Y>
<sigma_Y>0.012232</sigma_Y>
</pole>
<nutation>
<dPsi>0.097237</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007026</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>34286.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.379681</X>
<sigma_X>0.022036</sigma_X>
<Y>0.258882</Y>
<sigma_Y>0.013479</sigma_Y>
</pole>
<nutation>
<dPsi>0.098569</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007506</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>34304.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.388259</X>
<sigma_X>0.020812</sigma_X>
<Y>0.171484</Y>
<sigma_Y>0.014900</sigma_Y>
</pole>
<nutation>
<dPsi>0.099794</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008186</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>34322.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.343745</X>
<sigma_X>0.018993</sigma_X>
<Y>0.068434</Y>
<sigma_Y>0.013418</sigma_Y>
</pole>
<nutation>
<dPsi>0.101965</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008693</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>34341.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.267042</X>
<sigma_X>0.025745</sigma_X>
<Y>0.005765</Y>
<sigma_Y>0.014743</sigma_Y>
</pole>
<nutation>
<dPsi>0.103824</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009290</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>34359.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.165756</X>
<sigma_X>0.030054</sigma_X>
<Y>-0.065394</Y>
<sigma_Y>0.015059</sigma_Y>
</pole>
<nutation>
<dPsi>0.104658</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009745</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1952</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>34377.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.079449</X>
<sigma_X>0.030262</sigma_X>
<Y>-0.096645</Y>
<sigma_Y>0.016979</sigma_Y>
</pole>
<nutation>
<dPsi>0.105768</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009980</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>34396.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.005334</X>
<sigma_X>0.020561</sigma_X>
<Y>-0.127084</Y>
<sigma_Y>0.016714</sigma_Y>
</pole>
<nutation>
<dPsi>0.105680</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.010096</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>34414.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.050305</X>
<sigma_X>0.021683</sigma_X>
<Y>-0.018062</Y>
<sigma_Y>0.015673</sigma_Y>
</pole>
<nutation>
<dPsi>0.106018</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.009271</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>34432.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.130305</X>
<sigma_X>0.019864</sigma_X>
<Y>0.012575</Y>
<sigma_Y>0.015590</sigma_Y>
</pole>
<nutation>
<dPsi>0.105745</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007998</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>34450.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.208843</X>
<sigma_X>0.018753</sigma_X>
<Y>0.024698</Y>
<sigma_Y>0.015956</sigma_Y>
</pole>
<nutation>
<dPsi>0.107144</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007376</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>34469.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.240225</X>
<sigma_X>0.020170</sigma_X>
<Y>0.077952</Y>
<sigma_Y>0.015888</sigma_Y>
</pole>
<nutation>
<dPsi>0.107800</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006143</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>34487.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.266200</X>
<sigma_X>0.020206</sigma_X>
<Y>0.176391</Y>
<sigma_Y>0.014474</sigma_Y>
</pole>
<nutation>
<dPsi>0.108520</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005372</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>34505.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.322827</X>
<sigma_X>0.019160</sigma_X>
<Y>0.284504</Y>
<sigma_Y>0.015432</sigma_Y>
</pole>
<nutation>
<dPsi>0.108549</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004823</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>34523.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.308739</X>
<sigma_X>0.019825</sigma_X>
<Y>0.376569</Y>
<sigma_Y>0.015728</sigma_Y>
</pole>
<nutation>
<dPsi>0.106890</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005107</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>34542.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.187374</X>
<sigma_X>0.022371</sigma_X>
<Y>0.476790</Y>
<sigma_Y>0.015278</sigma_Y>
</pole>
<nutation>
<dPsi>0.105874</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005349</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>34560.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.106476</X>
<sigma_X>0.018738</sigma_X>
<Y>0.570240</Y>
<sigma_Y>0.013950</sigma_Y>
</pole>
<nutation>
<dPsi>0.102113</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005786</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>34578.637</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008516</X>
<sigma_X>0.019749</sigma_X>
<Y>0.613988</Y>
<sigma_Y>0.015530</sigma_Y>
</pole>
<nutation>
<dPsi>0.099256</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005539</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>34596.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.060251</X>
<sigma_X>0.020873</sigma_X>
<Y>0.568103</Y>
<sigma_Y>0.014290</sigma_Y>
</pole>
<nutation>
<dPsi>0.096900</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005380</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>34615.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.111190</X>
<sigma_X>0.019033</sigma_X>
<Y>0.594715</Y>
<sigma_Y>0.014566</sigma_Y>
</pole>
<nutation>
<dPsi>0.095553</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005899</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>34633.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.214442</X>
<sigma_X>0.019978</sigma_X>
<Y>0.550095</Y>
<sigma_Y>0.016821</sigma_Y>
</pole>
<nutation>
<dPsi>0.095349</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005982</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>34651.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.262847</X>
<sigma_X>0.020018</sigma_X>
<Y>0.454931</Y>
<sigma_Y>0.015992</sigma_Y>
</pole>
<nutation>
<dPsi>0.095949</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006188</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>34669.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.274122</X>
<sigma_X>0.018159</sigma_X>
<Y>0.406517</Y>
<sigma_Y>0.012798</sigma_Y>
</pole>
<nutation>
<dPsi>0.097740</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006711</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>34688.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.296891</X>
<sigma_X>0.018557</sigma_X>
<Y>0.307593</Y>
<sigma_Y>0.014140</sigma_Y>
</pole>
<nutation>
<dPsi>0.099519</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007417</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>34706.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.285629</X>
<sigma_X>0.023254</sigma_X>
<Y>0.219571</Y>
<sigma_Y>0.015319</sigma_Y>
</pole>
<nutation>
<dPsi>0.102023</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008311</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1953</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>34724.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.225357</X>
<sigma_X>0.022664</sigma_X>
<Y>0.180647</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.102842</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008649</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>34743.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.193442</X>
<sigma_X>0.029284</sigma_X>
<Y>0.098453</Y>
<sigma_Y>0.015660</sigma_Y>
</pole>
<nutation>
<dPsi>0.103325</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008978</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>34761.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.103483</X>
<sigma_X>0.025800</sigma_X>
<Y>0.065726</Y>
<sigma_Y>0.017302</sigma_Y>
</pole>
<nutation>
<dPsi>0.103918</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008975</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>34779.525</MJD>
</time>
<dataEOP>
<pole>
<X>0.094427</X>
<sigma_X>0.021462</sigma_X>
<Y>0.024956</Y>
<sigma_Y>0.013623</sigma_Y>
</pole>
<nutation>
<dPsi>0.103642</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.008745</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>34797.787</MJD>
</time>
<dataEOP>
<pole>
<X>0.014739</X>
<sigma_X>0.021875</sigma_X>
<Y>0.010969</Y>
<sigma_Y>0.014775</sigma_Y>
</pole>
<nutation>
<dPsi>0.103653</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007170</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>34816.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.100692</X>
<sigma_X>0.028191</sigma_X>
<Y>0.019899</Y>
<sigma_Y>0.018509</sigma_Y>
</pole>
<nutation>
<dPsi>0.103879</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005685</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>34834.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.106286</X>
<sigma_X>0.019260</sigma_X>
<Y>0.030663</Y>
<sigma_Y>0.014911</sigma_Y>
</pole>
<nutation>
<dPsi>0.105600</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005195</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>34852.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.135904</X>
<sigma_X>0.018803</sigma_X>
<Y>0.054056</Y>
<sigma_Y>0.014691</sigma_Y>
</pole>
<nutation>
<dPsi>0.105734</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003846</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>34870.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.188349</X>
<sigma_X>0.019552</sigma_X>
<Y>0.090742</Y>
<sigma_Y>0.015142</sigma_Y>
</pole>
<nutation>
<dPsi>0.105969</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003642</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>34889.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.181342</X>
<sigma_X>0.020164</sigma_X>
<Y>0.186377</Y>
<sigma_Y>0.013613</sigma_Y>
</pole>
<nutation>
<dPsi>0.104990</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003586</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>34907.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.142191</X>
<sigma_X>0.019361</sigma_X>
<Y>0.242435</Y>
<sigma_Y>0.013019</sigma_Y>
</pole>
<nutation>
<dPsi>0.102075</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003837</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>34925.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.171791</X>
<sigma_X>0.019044</sigma_X>
<Y>0.286104</Y>
<sigma_Y>0.011276</sigma_Y>
</pole>
<nutation>
<dPsi>0.100625</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004382</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>34943.887</MJD>
</time>
<dataEOP>
<pole>
<X>-0.161239</X>
<sigma_X>0.016568</sigma_X>
<Y>0.310851</Y>
<sigma_Y>0.011194</sigma_Y>
</pole>
<nutation>
<dPsi>0.096462</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004520</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>34962.150</MJD>
</time>
<dataEOP>
<pole>
<X>-0.121838</X>
<sigma_X>0.016853</sigma_X>
<Y>0.359060</Y>
<sigma_Y>0.011033</sigma_Y>
</pole>
<nutation>
<dPsi>0.094561</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004627</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>34980.412</MJD>
</time>
<dataEOP>
<pole>
<X>-0.045038</X>
<sigma_X>0.015986</sigma_X>
<Y>0.394224</Y>
<sigma_Y>0.012803</sigma_Y>
</pole>
<nutation>
<dPsi>0.093049</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004280</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>34998.675</MJD>
</time>
<dataEOP>
<pole>
<X>-0.043377</X>
<sigma_X>0.014876</sigma_X>
<Y>0.426240</Y>
<sigma_Y>0.012120</sigma_Y>
</pole>
<nutation>
<dPsi>0.092600</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004795</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>35016.937</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007647</X>
<sigma_X>0.022015</sigma_X>
<Y>0.473742</Y>
<sigma_Y>0.012008</sigma_Y>
</pole>
<nutation>
<dPsi>0.093368</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004913</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>35035.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.019950</X>
<sigma_X>0.017793</sigma_X>
<Y>0.448845</Y>
<sigma_Y>0.011455</sigma_Y>
</pole>
<nutation>
<dPsi>0.095120</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005287</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>35053.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.073769</X>
<sigma_X>0.025293</sigma_X>
<Y>0.432945</Y>
<sigma_Y>0.014393</sigma_Y>
</pole>
<nutation>
<dPsi>0.097075</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005962</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>35071.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.075571</X>
<sigma_X>0.022412</sigma_X>
<Y>0.379947</Y>
<sigma_Y>0.015924</sigma_Y>
</pole>
<nutation>
<dPsi>0.098605</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006692</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1954</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>35089.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.136005</X>
<sigma_X>0.030770</sigma_X>
<Y>0.395463</Y>
<sigma_Y>0.017757</sigma_Y>
</pole>
<nutation>
<dPsi>0.100699</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007305</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>35108.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.136567</X>
<sigma_X>0.022557</sigma_X>
<Y>0.335298</Y>
<sigma_Y>0.010881</sigma_Y>
</pole>
<nutation>
<dPsi>0.101014</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007680</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>35126.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.179373</X>
<sigma_X>0.018606</sigma_X>
<Y>0.303574</Y>
<sigma_Y>0.012623</sigma_Y>
</pole>
<nutation>
<dPsi>0.100940</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.007489</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>35144.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.155789</X>
<sigma_X>0.021332</sigma_X>
<Y>0.286031</Y>
<sigma_Y>0.016159</sigma_Y>
</pole>
<nutation>
<dPsi>0.101281</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006945</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>35163.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.194191</X>
<sigma_X>0.016685</sigma_X>
<Y>0.263216</Y>
<sigma_Y>0.014006</sigma_Y>
</pole>
<nutation>
<dPsi>0.101728</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006423</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>35181.300</MJD>
</time>
<dataEOP>
<pole>
<X>0.193377</X>
<sigma_X>0.016031</sigma_X>
<Y>0.232661</Y>
<sigma_Y>0.013045</sigma_Y>
</pole>
<nutation>
<dPsi>0.101574</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004599</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>35199.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.182623</X>
<sigma_X>0.016651</sigma_X>
<Y>0.205291</Y>
<sigma_Y>0.014181</sigma_Y>
</pole>
<nutation>
<dPsi>0.102527</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003176</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>35217.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.114571</X>
<sigma_X>0.017737</sigma_X>
<Y>0.126214</Y>
<sigma_Y>0.015839</sigma_Y>
</pole>
<nutation>
<dPsi>0.103767</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002853</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>35236.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.116739</X>
<sigma_X>0.017055</sigma_X>
<Y>0.126879</Y>
<sigma_Y>0.013293</sigma_Y>
</pole>
<nutation>
<dPsi>0.103368</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001897</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>35254.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.063233</X>
<sigma_X>0.016772</sigma_X>
<Y>0.085861</Y>
<sigma_Y>0.013235</sigma_Y>
</pole>
<nutation>
<dPsi>0.103109</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002163</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>35272.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.020568</X>
<sigma_X>0.015765</sigma_X>
<Y>0.062149</Y>
<sigma_Y>0.013948</sigma_Y>
</pole>
<nutation>
<dPsi>0.100850</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002467</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>35290.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.004629</X>
<sigma_X>0.015179</sigma_X>
<Y>0.122463</Y>
<sigma_Y>0.013068</sigma_Y>
</pole>
<nutation>
<dPsi>0.097068</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002713</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>35309.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.030355</X>
<sigma_X>0.015296</sigma_X>
<Y>0.139662</Y>
<sigma_Y>0.012675</sigma_Y>
</pole>
<nutation>
<dPsi>0.095083</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003085</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>35327.400</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062478</X>
<sigma_X>0.014087</sigma_X>
<Y>0.151741</Y>
<sigma_Y>0.013087</sigma_Y>
</pole>
<nutation>
<dPsi>0.091597</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003132</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>35345.662</MJD>
</time>
<dataEOP>
<pole>
<X>-0.090432</X>
<sigma_X>0.013573</sigma_X>
<Y>0.157128</Y>
<sigma_Y>0.013788</sigma_Y>
</pole>
<nutation>
<dPsi>0.090467</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003324</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>35363.925</MJD>
</time>
<dataEOP>
<pole>
<X>-0.119816</X>
<sigma_X>0.015006</sigma_X>
<Y>0.196558</Y>
<sigma_Y>0.012563</sigma_Y>
</pole>
<nutation>
<dPsi>0.089929</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003009</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>35382.187</MJD>
</time>
<dataEOP>
<pole>
<X>-0.154518</X>
<sigma_X>0.019304</sigma_X>
<Y>0.233086</Y>
<sigma_Y>0.012419</sigma_Y>
</pole>
<nutation>
<dPsi>0.090438</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003564</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>35400.450</MJD>
</time>
<dataEOP>
<pole>
<X>-0.139729</X>
<sigma_X>0.018774</sigma_X>
<Y>0.289775</Y>
<sigma_Y>0.013943</sigma_Y>
</pole>
<nutation>
<dPsi>0.092092</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004074</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>35418.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.133097</X>
<sigma_X>0.022088</sigma_X>
<Y>0.327415</Y>
<sigma_Y>0.013841</sigma_Y>
</pole>
<nutation>
<dPsi>0.094209</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004680</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>35436.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.133995</X>
<sigma_X>0.017856</sigma_X>
<Y>0.337089</Y>
<sigma_Y>0.014555</sigma_Y>
</pole>
<nutation>
<dPsi>0.095440</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005477</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1955</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>35455.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.051458</X>
<sigma_X>0.018447</sigma_X>
<Y>0.393279</Y>
<sigma_Y>0.017594</sigma_Y>
</pole>
<nutation>
<dPsi>0.096514</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006095</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>35473.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.026589</X>
<sigma_X>0.023314</sigma_X>
<Y>0.459160</Y>
<sigma_Y>0.014883</sigma_Y>
</pole>
<nutation>
<dPsi>0.097852</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006349</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>35491.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.111213</X>
<sigma_X>0.019804</sigma_X>
<Y>0.419893</Y>
<sigma_Y>0.017397</sigma_Y>
</pole>
<nutation>
<dPsi>0.097868</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.006478</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>35510.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.105888</X>
<sigma_X>0.020656</sigma_X>
<Y>0.491532</Y>
<sigma_Y>0.014412</sigma_Y>
</pole>
<nutation>
<dPsi>0.096984</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005474</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>35528.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.099591</X>
<sigma_X>0.018013</sigma_X>
<Y>0.433139</Y>
<sigma_Y>0.013952</sigma_Y>
</pole>
<nutation>
<dPsi>0.097516</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004733</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>35546.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.188547</X>
<sigma_X>0.015881</sigma_X>
<Y>0.474285</Y>
<sigma_Y>0.015585</sigma_Y>
</pole>
<nutation>
<dPsi>0.098594</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003730</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>35564.812</MJD>
</time>
<dataEOP>
<pole>
<X>0.170638</X>
<sigma_X>0.018276</sigma_X>
<Y>0.411457</Y>
<sigma_Y>0.013704</sigma_Y>
</pole>
<nutation>
<dPsi>0.098528</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002453</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>35583.075</MJD>
</time>
<dataEOP>
<pole>
<X>0.173091</X>
<sigma_X>0.023564</sigma_X>
<Y>0.350222</Y>
<sigma_Y>0.013224</sigma_Y>
</pole>
<nutation>
<dPsi>0.099846</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001414</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>35601.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.199105</X>
<sigma_X>0.019417</sigma_X>
<Y>0.297702</Y>
<sigma_Y>0.012977</sigma_Y>
</pole>
<nutation>
<dPsi>0.099349</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001357</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>35619.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.202785</X>
<sigma_X>0.018553</sigma_X>
<Y>0.249511</Y>
<sigma_Y>0.013620</sigma_Y>
</pole>
<nutation>
<dPsi>0.098601</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001323</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>35637.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.215566</X>
<sigma_X>0.021246</sigma_X>
<Y>0.221305</Y>
<sigma_Y>0.014444</sigma_Y>
</pole>
<nutation>
<dPsi>0.096869</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001930</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>35656.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.235864</X>
<sigma_X>0.021684</sigma_X>
<Y>0.149036</Y>
<sigma_Y>0.013825</sigma_Y>
</pole>
<nutation>
<dPsi>0.093762</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001817</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>35674.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.191749</X>
<sigma_X>0.017208</sigma_X>
<Y>0.111764</Y>
<sigma_Y>0.013670</sigma_Y>
</pole>
<nutation>
<dPsi>0.090109</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001877</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>35692.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.160720</X>
<sigma_X>0.012342</sigma_X>
<Y>0.115608</Y>
<sigma_Y>0.011605</sigma_Y>
</pole>
<nutation>
<dPsi>0.088204</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002074</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>35710.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.122127</X>
<sigma_X>0.012902</sigma_X>
<Y>0.091951</Y>
<sigma_Y>0.012288</sigma_Y>
</pole>
<nutation>
<dPsi>0.086437</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002008</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>35729.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.059792</X>
<sigma_X>0.011458</sigma_X>
<Y>0.093685</Y>
<sigma_Y>0.012177</sigma_Y>
</pole>
<nutation>
<dPsi>0.086264</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002255</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>35747.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.012707</X>
<sigma_X>0.012517</sigma_X>
<Y>0.110353</Y>
<sigma_Y>0.012561</sigma_Y>
</pole>
<nutation>
<dPsi>0.086696</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002394</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>35765.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.092564</X>
<sigma_X>0.013600</sigma_X>
<Y>0.146643</Y>
<sigma_Y>0.013243</sigma_Y>
</pole>
<nutation>
<dPsi>0.088008</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003050</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>35783.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.147621</X>
<sigma_X>0.017820</sigma_X>
<Y>0.168206</Y>
<sigma_Y>0.012630</sigma_Y>
</pole>
<nutation>
<dPsi>0.090517</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004082</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>35802.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.232696</X>
<sigma_X>0.017339</sigma_X>
<Y>0.225750</Y>
<sigma_Y>0.011891</sigma_Y>
</pole>
<nutation>
<dPsi>0.092173</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004641</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>35820.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.191063</X>
<sigma_X>0.017531</sigma_X>
<Y>0.282344</Y>
<sigma_Y>0.014227</sigma_Y>
</pole>
<nutation>
<dPsi>0.093086</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005219</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1956</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>35838.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.288443</X>
<sigma_X>0.017225</sigma_X>
<Y>0.355796</Y>
<sigma_Y>0.014520</sigma_Y>
</pole>
<nutation>
<dPsi>0.093627</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005614</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>35857.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.276592</X>
<sigma_X>0.012929</sigma_X>
<Y>0.374759</Y>
<sigma_Y>0.013015</sigma_Y>
</pole>
<nutation>
<dPsi>0.093957</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005673</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>35875.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.198305</X>
<sigma_X>0.015155</sigma_X>
<Y>0.474637</Y>
<sigma_Y>0.013876</sigma_Y>
</pole>
<nutation>
<dPsi>0.093836</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004706</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>35893.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.150143</X>
<sigma_X>0.013853</sigma_X>
<Y>0.526801</Y>
<sigma_Y>0.013606</sigma_Y>
</pole>
<nutation>
<dPsi>0.092574</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003451</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>35911.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.119340</X>
<sigma_X>0.012785</sigma_X>
<Y>0.557782</Y>
<sigma_Y>0.013464</sigma_Y>
</pole>
<nutation>
<dPsi>0.093829</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002684</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>35930.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.059981</X>
<sigma_X>0.010584</sigma_X>
<Y>0.555058</Y>
<sigma_Y>0.011909</sigma_Y>
</pole>
<nutation>
<dPsi>0.094687</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001438</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>35948.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.021663</X>
<sigma_X>0.013253</sigma_X>
<Y>0.553328</Y>
<sigma_Y>0.012678</sigma_Y>
</pole>
<nutation>
<dPsi>0.094901</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001083</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>35966.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.103891</X>
<sigma_X>0.013230</sigma_X>
<Y>0.578432</Y>
<sigma_Y>0.012821</sigma_Y>
</pole>
<nutation>
<dPsi>0.095316</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000574</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>35984.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.169034</X>
<sigma_X>0.012803</sigma_X>
<Y>0.562165</Y>
<sigma_Y>0.012167</sigma_Y>
</pole>
<nutation>
<dPsi>0.092973</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000701</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>36003.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.255427</X>
<sigma_X>0.013765</sigma_X>
<Y>0.507070</Y>
<sigma_Y>0.012353</sigma_Y>
</pole>
<nutation>
<dPsi>0.091626</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001243</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>36021.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.265955</X>
<sigma_X>0.012915</sigma_X>
<Y>0.417684</Y>
<sigma_Y>0.011472</sigma_Y>
</pole>
<nutation>
<dPsi>0.088115</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001802</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>36039.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.354282</X>
<sigma_X>0.014643</sigma_X>
<Y>0.387088</Y>
<sigma_Y>0.012543</sigma_Y>
</pole>
<nutation>
<dPsi>0.085547</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000948</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>36057.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.361943</X>
<sigma_X>0.013033</sigma_X>
<Y>0.289460</Y>
<sigma_Y>0.012631</sigma_Y>
</pole>
<nutation>
<dPsi>0.082727</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001108</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>36076.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.316655</X>
<sigma_X>0.014588</sigma_X>
<Y>0.174890</Y>
<sigma_Y>0.013839</sigma_Y>
</pole>
<nutation>
<dPsi>0.081281</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001317</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>36094.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.271656</X>
<sigma_X>0.015225</sigma_X>
<Y>0.100230</Y>
<sigma_Y>0.014434</sigma_Y>
</pole>
<nutation>
<dPsi>0.080950</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001250</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>36112.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.186356</X>
<sigma_X>0.011862</sigma_X>
<Y>0.083683</Y>
<sigma_Y>0.011087</sigma_Y>
</pole>
<nutation>
<dPsi>0.081959</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001629</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>36130.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.090656</X>
<sigma_X>0.012095</sigma_X>
<Y>0.027838</Y>
<sigma_Y>0.011629</sigma_Y>
</pole>
<nutation>
<dPsi>0.083056</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002458</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>36149.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.044318</X>
<sigma_X>0.016874</sigma_X>
<Y>-0.012591</Y>
<sigma_Y>0.011588</sigma_Y>
</pole>
<nutation>
<dPsi>0.084809</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003220</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>36167.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.048075</X>
<sigma_X>0.014154</sigma_X>
<Y>-0.004876</Y>
<sigma_Y>0.012574</sigma_Y>
</pole>
<nutation>
<dPsi>0.087190</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004348</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1957</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>36185.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.139163</X>
<sigma_X>0.015648</sigma_X>
<Y>0.056119</Y>
<sigma_Y>0.013701</sigma_Y>
</pole>
<nutation>
<dPsi>0.087904</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004861</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>36204.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.201465</X>
<sigma_X>0.019752</sigma_X>
<Y>0.101669</Y>
<sigma_Y>0.014302</sigma_Y>
</pole>
<nutation>
<dPsi>0.088265</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004904</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>36222.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.268878</X>
<sigma_X>0.015234</sigma_X>
<Y>0.183358</Y>
<sigma_Y>0.013307</sigma_Y>
</pole>
<nutation>
<dPsi>0.088074</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005023</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>36240.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.265535</X>
<sigma_X>0.017490</sigma_X>
<Y>0.309275</Y>
<sigma_Y>0.014763</sigma_Y>
</pole>
<nutation>
<dPsi>0.088350</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004721</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>36258.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.285974</X>
<sigma_X>0.018094</sigma_X>
<Y>0.343904</Y>
<sigma_Y>0.014546</sigma_Y>
</pole>
<nutation>
<dPsi>0.088226</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002799</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>36277.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.275718</X>
<sigma_X>0.011255</sigma_X>
<Y>0.381439</Y>
<sigma_Y>0.011729</sigma_Y>
</pole>
<nutation>
<dPsi>0.087927</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001982</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>36295.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.236028</X>
<sigma_X>0.012609</sigma_X>
<Y>0.440417</Y>
<sigma_Y>0.011778</sigma_Y>
</pole>
<nutation>
<dPsi>0.089536</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001314</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>36313.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.153109</X>
<sigma_X>0.011739</sigma_X>
<Y>0.536004</Y>
<sigma_Y>0.010630</sigma_Y>
</pole>
<nutation>
<dPsi>0.089382</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000325</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>36331.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.080019</X>
<sigma_X>0.012059</sigma_X>
<Y>0.548294</Y>
<sigma_Y>0.011591</sigma_Y>
</pole>
<nutation>
<dPsi>0.089821</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000321</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>36350.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.024894</X>
<sigma_X>0.011539</sigma_X>
<Y>0.555397</Y>
<sigma_Y>0.010861</sigma_Y>
</pole>
<nutation>
<dPsi>0.088951</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000496</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>36368.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.050897</X>
<sigma_X>0.012656</sigma_X>
<Y>0.539878</Y>
<sigma_Y>0.011813</sigma_Y>
</pole>
<nutation>
<dPsi>0.085534</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000590</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>36386.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.123085</X>
<sigma_X>0.011390</sigma_X>
<Y>0.538888</Y>
<sigma_Y>0.011064</sigma_Y>
</pole>
<nutation>
<dPsi>0.083563</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001175</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>36404.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.201825</X>
<sigma_X>0.011472</sigma_X>
<Y>0.487670</Y>
<sigma_Y>0.011122</sigma_Y>
</pole>
<nutation>
<dPsi>0.079842</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001577</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>36423.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.279075</X>
<sigma_X>0.013362</sigma_X>
<Y>0.462749</Y>
<sigma_Y>0.011373</sigma_Y>
</pole>
<nutation>
<dPsi>0.077655</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000638</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>36441.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.333998</X>
<sigma_X>0.012692</sigma_X>
<Y>0.370131</Y>
<sigma_Y>0.010908</sigma_Y>
</pole>
<nutation>
<dPsi>0.075983</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000893</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>36459.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.345529</X>
<sigma_X>0.010554</sigma_X>
<Y>0.294224</Y>
<sigma_Y>0.009492</sigma_Y>
</pole>
<nutation>
<dPsi>0.075346</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001193</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>36477.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.323854</X>
<sigma_X>0.011109</sigma_X>
<Y>0.226029</Y>
<sigma_Y>0.009783</sigma_Y>
</pole>
<nutation>
<dPsi>0.075920</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001310</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>36496.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.313741</X>
<sigma_X>0.015149</sigma_X>
<Y>0.215142</Y>
<sigma_Y>0.011355</sigma_Y>
</pole>
<nutation>
<dPsi>0.077932</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001696</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>36514.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.246513</X>
<sigma_X>0.015367</sigma_X>
<Y>0.103867</Y>
<sigma_Y>0.011185</sigma_Y>
</pole>
<nutation>
<dPsi>0.079493</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003165</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>36532.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.172931</X>
<sigma_X>0.012202</sigma_X>
<Y>0.042099</Y>
<sigma_Y>0.010763</sigma_Y>
</pole>
<nutation>
<dPsi>0.080765</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003845</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1958</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>36550.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.096315</X>
<sigma_X>0.015407</sigma_X>
<Y>0.036117</Y>
<sigma_Y>0.012059</sigma_Y>
</pole>
<nutation>
<dPsi>0.081932</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004598</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>36569.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.003741</X>
<sigma_X>0.016258</sigma_X>
<Y>0.029985</Y>
<sigma_Y>0.013263</sigma_Y>
</pole>
<nutation>
<dPsi>0.082466</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004934</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>36587.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.080358</X>
<sigma_X>0.011945</sigma_X>
<Y>0.063723</Y>
<sigma_Y>0.010993</sigma_Y>
</pole>
<nutation>
<dPsi>0.081558</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004476</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>36605.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.142554</X>
<sigma_X>0.012289</sigma_X>
<Y>0.047522</Y>
<sigma_Y>0.010850</sigma_Y>
</pole>
<nutation>
<dPsi>0.081277</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004189</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>36624.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.192892</X>
<sigma_X>0.011400</sigma_X>
<Y>0.065132</Y>
<sigma_Y>0.010577</sigma_Y>
</pole>
<nutation>
<dPsi>0.082310</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003415</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>36642.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.231370</X>
<sigma_X>0.009843</sigma_X>
<Y>0.134510</Y>
<sigma_Y>0.010169</sigma_Y>
</pole>
<nutation>
<dPsi>0.081843</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001558</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>36660.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.247215</X>
<sigma_X>0.011120</sigma_X>
<Y>0.185772</Y>
<sigma_Y>0.010215</sigma_Y>
</pole>
<nutation>
<dPsi>0.082474</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000969</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>36678.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.250407</X>
<sigma_X>0.011794</sigma_X>
<Y>0.305411</Y>
<sigma_Y>0.010651</sigma_Y>
</pole>
<nutation>
<dPsi>0.083593</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000400</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>36697.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.250075</X>
<sigma_X>0.011534</sigma_X>
<Y>0.374410</Y>
<sigma_Y>0.010640</sigma_Y>
</pole>
<nutation>
<dPsi>0.082580</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>-0.000008</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>36715.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.205936</X>
<sigma_X>0.011729</sigma_X>
<Y>0.404284</Y>
<sigma_Y>0.010423</sigma_Y>
</pole>
<nutation>
<dPsi>0.082234</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000110</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>36733.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.150679</X>
<sigma_X>0.011908</sigma_X>
<Y>0.477312</Y>
<sigma_Y>0.010945</sigma_Y>
</pole>
<nutation>
<dPsi>0.080652</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000627</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>36751.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.067071</X>
<sigma_X>0.010628</sigma_X>
<Y>0.484631</Y>
<sigma_Y>0.010022</sigma_Y>
</pole>
<nutation>
<dPsi>0.076190</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000616</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>36770.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.003984</X>
<sigma_X>0.009862</sigma_X>
<Y>0.513134</Y>
<sigma_Y>0.010406</sigma_Y>
</pole>
<nutation>
<dPsi>0.073695</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000973</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>36788.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.087129</X>
<sigma_X>0.011359</sigma_X>
<Y>0.497088</Y>
<sigma_Y>0.010826</sigma_Y>
</pole>
<nutation>
<dPsi>0.070953</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001071</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>36806.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.147627</X>
<sigma_X>0.010870</sigma_X>
<Y>0.488677</Y>
<sigma_Y>0.010480</sigma_Y>
</pole>
<nutation>
<dPsi>0.069103</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000690</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>36824.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.201404</X>
<sigma_X>0.012340</sigma_X>
<Y>0.464923</Y>
<sigma_Y>0.010474</sigma_Y>
</pole>
<nutation>
<dPsi>0.068768</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000804</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>36843.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.236349</X>
<sigma_X>0.011430</sigma_X>
<Y>0.401118</Y>
<sigma_Y>0.009995</sigma_Y>
</pole>
<nutation>
<dPsi>0.069697</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001498</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>36861.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.247524</X>
<sigma_X>0.010702</sigma_X>
<Y>0.338424</Y>
<sigma_Y>0.009712</sigma_Y>
</pole>
<nutation>
<dPsi>0.070950</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001988</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>36879.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.236734</X>
<sigma_X>0.012303</sigma_X>
<Y>0.285151</Y>
<sigma_Y>0.010441</sigma_Y>
</pole>
<nutation>
<dPsi>0.072717</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002626</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>36897.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.228123</X>
<sigma_X>0.010481</sigma_X>
<Y>0.213251</Y>
<sigma_Y>0.009497</sigma_Y>
</pole>
<nutation>
<dPsi>0.074748</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003859</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1959</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>36916.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.175490</X>
<sigma_X>0.013030</sigma_X>
<Y>0.178550</Y>
<sigma_Y>0.011808</sigma_Y>
</pole>
<nutation>
<dPsi>0.075155</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004383</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>36934.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.121659</X>
<sigma_X>0.015912</sigma_X>
<Y>0.124133</Y>
<sigma_Y>0.012733</sigma_Y>
</pole>
<nutation>
<dPsi>0.075392</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004839</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>36952.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.086610</X>
<sigma_X>0.013292</sigma_X>
<Y>0.124903</Y>
<sigma_Y>0.011539</sigma_Y>
</pole>
<nutation>
<dPsi>0.076314</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004667</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>36971.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.014793</X>
<sigma_X>0.012664</sigma_X>
<Y>0.090332</Y>
<sigma_Y>0.011219</sigma_Y>
</pole>
<nutation>
<dPsi>0.074682</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004018</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>36989.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.001462</X>
<sigma_X>0.012958</sigma_X>
<Y>0.098132</Y>
<sigma_Y>0.010714</sigma_Y>
</pole>
<nutation>
<dPsi>0.074932</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003332</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>37007.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.046008</X>
<sigma_X>0.012337</sigma_X>
<Y>0.117889</Y>
<sigma_Y>0.010457</sigma_Y>
</pole>
<nutation>
<dPsi>0.076397</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002364</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>37025.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.065273</X>
<sigma_X>0.011174</sigma_X>
<Y>0.118802</Y>
<sigma_Y>0.010090</sigma_Y>
</pole>
<nutation>
<dPsi>0.076076</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001125</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>37044.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.125857</X>
<sigma_X>0.010659</sigma_X>
<Y>0.160399</Y>
<sigma_Y>0.009892</sigma_Y>
</pole>
<nutation>
<dPsi>0.076560</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000626</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>37062.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.116313</X>
<sigma_X>0.011764</sigma_X>
<Y>0.214368</Y>
<sigma_Y>0.010711</sigma_Y>
</pole>
<nutation>
<dPsi>0.076924</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000275</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>37080.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.151444</X>
<sigma_X>0.010804</sigma_X>
<Y>0.224517</Y>
<sigma_Y>0.010538</sigma_Y>
</pole>
<nutation>
<dPsi>0.075258</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000418</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>37098.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.143999</X>
<sigma_X>0.009243</sigma_X>
<Y>0.265358</Y>
<sigma_Y>0.009409</sigma_Y>
</pole>
<nutation>
<dPsi>0.073323</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000998</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>37117.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.126137</X>
<sigma_X>0.010018</sigma_X>
<Y>0.317186</Y>
<sigma_Y>0.009808</sigma_Y>
</pole>
<nutation>
<dPsi>0.071301</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001037</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>37135.387</MJD>
</time>
<dataEOP>
<pole>
<X>-0.092018</X>
<sigma_X>0.010783</sigma_X>
<Y>0.339548</Y>
<sigma_Y>0.009682</sigma_Y>
</pole>
<nutation>
<dPsi>0.066726</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.000918</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>37153.650</MJD>
</time>
<dataEOP>
<pole>
<X>-0.033537</X>
<sigma_X>0.009682</sigma_X>
<Y>0.348815</Y>
<sigma_Y>0.009986</sigma_Y>
</pole>
<nutation>
<dPsi>0.064506</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001224</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>37171.912</MJD>
</time>
<dataEOP>
<pole>
<X>-0.012862</X>
<sigma_X>0.009830</sigma_X>
<Y>0.368363</Y>
<sigma_Y>0.010155</sigma_Y>
</pole>
<nutation>
<dPsi>0.063209</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001267</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>37190.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.030317</X>
<sigma_X>0.011027</sigma_X>
<Y>0.376581</Y>
<sigma_Y>0.010337</sigma_Y>
</pole>
<nutation>
<dPsi>0.062433</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001311</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>37208.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.053639</X>
<sigma_X>0.010360</sigma_X>
<Y>0.374044</Y>
<sigma_Y>0.009282</sigma_Y>
</pole>
<nutation>
<dPsi>0.063138</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001743</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>37226.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.063076</X>
<sigma_X>0.011653</sigma_X>
<Y>0.351494</Y>
<sigma_Y>0.009734</sigma_Y>
</pole>
<nutation>
<dPsi>0.065313</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002944</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>37244.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.053962</X>
<sigma_X>0.012696</sigma_X>
<Y>0.373020</Y>
<sigma_Y>0.010342</sigma_Y>
</pole>
<nutation>
<dPsi>0.066470</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003428</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>37263.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.066027</X>
<sigma_X>0.013261</sigma_X>
<Y>0.319356</Y>
<sigma_Y>0.010396</sigma_Y>
</pole>
<nutation>
<dPsi>0.067724</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004555</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>37281.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.095924</X>
<sigma_X>0.016521</sigma_X>
<Y>0.293983</Y>
<sigma_Y>0.011763</sigma_Y>
</pole>
<nutation>
<dPsi>0.069390</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004889</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1960</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>37299.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.069041</X>
<sigma_X>0.015170</sigma_X>
<Y>0.303606</Y>
<sigma_Y>0.012275</sigma_Y>
</pole>
<nutation>
<dPsi>0.069282</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005269</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>37318.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.091868</X>
<sigma_X>0.016387</sigma_X>
<Y>0.215276</Y>
<sigma_Y>0.013866</sigma_Y>
</pole>
<nutation>
<dPsi>0.069278</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.005397</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>37336.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.052693</X>
<sigma_X>0.013426</sigma_X>
<Y>0.229373</Y>
<sigma_Y>0.011867</sigma_Y>
</pole>
<nutation>
<dPsi>0.069835</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004663</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>37354.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.068857</X>
<sigma_X>0.009241</sigma_X>
<Y>0.153347</Y>
<sigma_Y>0.009642</sigma_Y>
</pole>
<nutation>
<dPsi>0.069033</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003533</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>37372.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.033141</X>
<sigma_X>0.009510</sigma_X>
<Y>0.173783</Y>
<sigma_Y>0.010134</sigma_Y>
</pole>
<nutation>
<dPsi>0.069886</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002823</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>37391.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.048077</X>
<sigma_X>0.010935</sigma_X>
<Y>0.167235</Y>
<sigma_Y>0.011000</sigma_Y>
</pole>
<nutation>
<dPsi>0.071090</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002231</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>37409.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.024228</X>
<sigma_X>0.011612</sigma_X>
<Y>0.161183</Y>
<sigma_Y>0.010971</sigma_Y>
</pole>
<nutation>
<dPsi>0.071003</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001253</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>37427.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.002497</X>
<sigma_X>0.010686</sigma_X>
<Y>0.173272</Y>
<sigma_Y>0.010667</sigma_Y>
</pole>
<nutation>
<dPsi>0.070975</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001207</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>37445.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.003333</X>
<sigma_X>0.010445</sigma_X>
<Y>0.173198</Y>
<sigma_Y>0.010198</sigma_Y>
</pole>
<nutation>
<dPsi>0.069724</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001240</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>37464.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.008837</X>
<sigma_X>0.009828</sigma_X>
<Y>0.174168</Y>
<sigma_Y>0.010388</sigma_Y>
</pole>
<nutation>
<dPsi>0.067504</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001312</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>37482.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.012503</X>
<sigma_X>0.011073</sigma_X>
<Y>0.158165</Y>
<sigma_Y>0.010496</sigma_Y>
</pole>
<nutation>
<dPsi>0.064705</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002190</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>37500.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.030132</X>
<sigma_X>0.012493</sigma_X>
<Y>0.182188</Y>
<sigma_Y>0.010726</sigma_Y>
</pole>
<nutation>
<dPsi>0.062408</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001636</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>37518.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.009317</X>
<sigma_X>0.012194</sigma_X>
<Y>0.210810</Y>
<sigma_Y>0.011071</sigma_Y>
</pole>
<nutation>
<dPsi>0.058992</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001367</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>37537.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.012825</X>
<sigma_X>0.011352</sigma_X>
<Y>0.185050</Y>
<sigma_Y>0.010764</sigma_Y>
</pole>
<nutation>
<dPsi>0.057822</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.001896</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>37555.425</MJD>
</time>
<dataEOP>
<pole>
<X>-0.015211</X>
<sigma_X>0.010229</sigma_X>
<Y>0.206724</Y>
<sigma_Y>0.009487</sigma_Y>
</pole>
<nutation>
<dPsi>0.057948</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002255</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>37573.687</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016383</X>
<sigma_X>0.010972</sigma_X>
<Y>0.216489</Y>
<sigma_Y>0.010164</sigma_Y>
</pole>
<nutation>
<dPsi>0.058114</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.002067</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>37591.950</MJD>
</time>
<dataEOP>
<pole>
<X>-0.036852</X>
<sigma_X>0.011732</sigma_X>
<Y>0.216629</Y>
<sigma_Y>0.010956</sigma_Y>
</pole>
<nutation>
<dPsi>0.059934</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.003327</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>37610.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.051947</X>
<sigma_X>0.012705</sigma_X>
<Y>0.249007</Y>
<sigma_Y>0.011403</sigma_Y>
</pole>
<nutation>
<dPsi>0.062142</dPsi>
<sigma_dPsi>0.000000</sigma_dPsi>
<dEpsilon>0.004787</dEpsilon>
<sigma_dEpsilon>0.000000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>37628.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062871</X>
<sigma_X>0.012684</sigma_X>
<Y>0.288389</Y>
<sigma_Y>0.010804</sigma_Y>
</pole>
<nutation>
<dPsi>0.062880</dPsi>
<sigma_dPsi>0.000005</sigma_dPsi>
<dEpsilon>0.005050</dEpsilon>
<sigma_dEpsilon>0.000002</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1961</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>37646.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.050298</X>
<sigma_X>0.011443</sigma_X>
<Y>0.270678</Y>
<sigma_Y>0.011130</sigma_Y>
</pole>
<nutation>
<dPsi>0.064069</dPsi>
<sigma_dPsi>0.000085</sigma_dPsi>
<dEpsilon>0.006218</dEpsilon>
<sigma_dEpsilon>0.000034</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>37665.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.018338</X>
<sigma_X>0.026087</sigma_X>
<Y>0.225760</Y>
<sigma_Y>0.025760</sigma_Y>
</pole>
<nutation>
<dPsi>0.064324</dPsi>
<sigma_dPsi>0.002496</sigma_dPsi>
<dEpsilon>0.006033</dEpsilon>
<sigma_dEpsilon>0.000993</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>37683.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.053828</X>
<sigma_X>0.030146</sigma_X>
<Y>0.228190</Y>
<sigma_Y>0.030172</sigma_Y>
</pole>
<nutation>
<dPsi>0.064364</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005960</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>37701.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.060135</X>
<sigma_X>0.030000</sigma_X>
<Y>0.238639</Y>
<sigma_Y>0.029997</sigma_Y>
</pole>
<nutation>
<dPsi>0.064776</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005411</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>37719.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.037163</X>
<sigma_X>0.029997</sigma_X>
<Y>0.251850</Y>
<sigma_Y>0.029997</sigma_Y>
</pole>
<nutation>
<dPsi>0.064847</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004540</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>37738.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.002396</X>
<sigma_X>0.030001</sigma_X>
<Y>0.260877</Y>
<sigma_Y>0.030001</sigma_Y>
</pole>
<nutation>
<dPsi>0.065245</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003009</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>37756.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.042475</X>
<sigma_X>0.030000</sigma_X>
<Y>0.250373</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.066391</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002598</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>37774.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.074018</X>
<sigma_X>0.030000</sigma_X>
<Y>0.229117</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.066686</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002651</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>37792.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.091302</X>
<sigma_X>0.030000</sigma_X>
<Y>0.210024</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.066529</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001697</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>37811.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.096735</X>
<sigma_X>0.030000</sigma_X>
<Y>0.181083</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.065966</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002152</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>37829.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.098536</X>
<sigma_X>0.030000</sigma_X>
<Y>0.142017</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.062852</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002527</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>37847.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.098375</X>
<sigma_X>0.030000</sigma_X>
<Y>0.114017</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060502</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002269</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>37865.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.090453</X>
<sigma_X>0.030000</sigma_X>
<Y>0.097142</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057491</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002921</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>37884.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.073870</X>
<sigma_X>0.030000</sigma_X>
<Y>0.074435</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055590</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002420</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>37902.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.048888</X>
<sigma_X>0.030000</sigma_X>
<Y>0.050907</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053161</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002159</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>37920.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.015078</X>
<sigma_X>0.030000</sigma_X>
<Y>0.042841</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053719</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002876</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>37938.937</MJD>
</time>
<dataEOP>
<pole>
<X>-0.025028</X>
<sigma_X>0.030000</sigma_X>
<Y>0.050149</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054988</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003481</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>37957.200</MJD>
</time>
<dataEOP>
<pole>
<X>-0.067874</X>
<sigma_X>0.030000</sigma_X>
<Y>0.067357</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055959</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003496</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>37975.462</MJD>
</time>
<dataEOP>
<pole>
<X>-0.098504</X>
<sigma_X>0.030000</sigma_X>
<Y>0.096995</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058220</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005168</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>37993.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.122397</X>
<sigma_X>0.030000</sigma_X>
<Y>0.133365</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059525</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006496</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1962</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>38011.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.158748</X>
<sigma_X>0.030000</sigma_X>
<Y>0.174988</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060222</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006701</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>38030.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.195430</X>
<sigma_X>0.030000</sigma_X>
<Y>0.218487</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.061231</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007031</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>38048.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.204118</X>
<sigma_X>0.030000</sigma_X>
<Y>0.259918</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060684</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006883</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>38066.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.179995</X>
<sigma_X>0.030000</sigma_X>
<Y>0.293757</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.061392</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006252</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>38085.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.143193</X>
<sigma_X>0.030000</sigma_X>
<Y>0.320728</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.062585</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005283</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>38103.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.098939</X>
<sigma_X>0.030000</sigma_X>
<Y>0.344135</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.062500</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004538</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>38121.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.043199</X>
<sigma_X>0.030000</sigma_X>
<Y>0.358184</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.063312</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003218</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>38139.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.021622</X>
<sigma_X>0.030000</sigma_X>
<Y>0.352366</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.064469</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002783</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>38158.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.089438</X>
<sigma_X>0.030000</sigma_X>
<Y>0.330914</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.063871</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003141</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>38176.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.147116</X>
<sigma_X>0.030000</sigma_X>
<Y>0.303392</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.063525</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002490</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>38194.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.191183</X>
<sigma_X>0.030000</sigma_X>
<Y>0.269112</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.061753</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003154</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>38212.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.220005</X>
<sigma_X>0.030000</sigma_X>
<Y>0.226620</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057667</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003524</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>38231.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.224032</X>
<sigma_X>0.030000</sigma_X>
<Y>0.180344</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055177</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003245</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>38249.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.200042</X>
<sigma_X>0.030000</sigma_X>
<Y>0.130365</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052594</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003441</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>38267.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.153509</X>
<sigma_X>0.030000</sigma_X>
<Y>0.077994</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051484</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003374</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>38285.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.100624</X>
<sigma_X>0.030000</sigma_X>
<Y>0.029293</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050448</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003499</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>38304.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.044254</X>
<sigma_X>0.030000</sigma_X>
<Y>-0.007333</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052434</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004369</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>38322.450</MJD>
</time>
<dataEOP>
<pole>
<X>-0.025371</X>
<sigma_X>0.030000</sigma_X>
<Y>-0.022842</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053919</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004925</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>38340.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.096790</X>
<sigma_X>0.030000</sigma_X>
<Y>-0.011890</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055504</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005851</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>38358.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.146878</X>
<sigma_X>0.030000</sigma_X>
<Y>0.014651</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057013</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006819</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1963</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>38377.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.181562</X>
<sigma_X>0.030000</sigma_X>
<Y>0.044185</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057527</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007828</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>38395.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.226326</X>
<sigma_X>0.030000</sigma_X>
<Y>0.082555</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058299</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007885</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>38413.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.278863</X>
<sigma_X>0.030000</sigma_X>
<Y>0.140171</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059102</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007559</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>38432.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.305957</X>
<sigma_X>0.030000</sigma_X>
<Y>0.210892</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058229</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007300</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>38450.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.288675</X>
<sigma_X>0.030000</sigma_X>
<Y>0.277567</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059614</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006294</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>38468.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.241773</X>
<sigma_X>0.030000</sigma_X>
<Y>0.333998</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.061160</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005503</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>38486.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.180072</X>
<sigma_X>0.030000</sigma_X>
<Y>0.384846</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060824</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004737</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>38505.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.112361</X>
<sigma_X>0.030000</sigma_X>
<Y>0.426302</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.061726</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003869</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>38523.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.050480</X>
<sigma_X>0.030000</sigma_X>
<Y>0.453334</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.062064</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003391</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>38541.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.006542</X>
<sigma_X>0.030000</sigma_X>
<Y>0.459446</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060639</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003829</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>38559.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.065288</X>
<sigma_X>0.030000</sigma_X>
<Y>0.445365</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059297</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003426</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>38578.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.124090</X>
<sigma_X>0.030000</sigma_X>
<Y>0.415220</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.056600</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004012</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>38596.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.178722</X>
<sigma_X>0.030000</sigma_X>
<Y>0.374891</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052772</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003884</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>38614.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.222360</X>
<sigma_X>0.030000</sigma_X>
<Y>0.319900</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051041</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003934</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>38632.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.241938</X>
<sigma_X>0.030000</sigma_X>
<Y>0.245833</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050006</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003998</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>38651.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.232859</X>
<sigma_X>0.030000</sigma_X>
<Y>0.163614</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049358</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004250</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>38669.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.203752</X>
<sigma_X>0.030000</sigma_X>
<Y>0.092739</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050707</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005026</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>38687.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.160684</X>
<sigma_X>0.030000</sigma_X>
<Y>0.043771</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052556</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005926</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>38705.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.105109</X>
<sigma_X>0.030000</sigma_X>
<Y>0.011840</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054179</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006289</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>38724.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.042777</X>
<sigma_X>0.030000</sigma_X>
<Y>-0.012589</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.056301</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007607</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>38742.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017426</X>
<sigma_X>0.030000</sigma_X>
<Y>-0.021176</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057385</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007685</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1964</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>38760.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.075557</X>
<sigma_X>0.030000</sigma_X>
<Y>-0.006819</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057464</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008447</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>38779.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.135133</X>
<sigma_X>0.030000</sigma_X>
<Y>0.026214</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058051</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007946</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>38797.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.187238</X>
<sigma_X>0.030000</sigma_X>
<Y>0.068932</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058739</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007726</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>38815.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.222283</X>
<sigma_X>0.030000</sigma_X>
<Y>0.114672</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057863</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006725</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>38833.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.241417</X>
<sigma_X>0.030000</sigma_X>
<Y>0.170247</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059772</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005679</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>38852.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.238206</X>
<sigma_X>0.030000</sigma_X>
<Y>0.230705</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060785</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005466</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>38870.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.214942</X>
<sigma_X>0.030000</sigma_X>
<Y>0.286809</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060432</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004671</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>38888.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.185427</X>
<sigma_X>0.030000</sigma_X>
<Y>0.335402</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060992</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003943</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>38906.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.153101</X>
<sigma_X>0.030000</sigma_X>
<Y>0.374423</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059757</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003941</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>38925.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.105004</X>
<sigma_X>0.030000</sigma_X>
<Y>0.406951</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057675</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004212</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>38943.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.034649</X>
<sigma_X>0.030000</sigma_X>
<Y>0.430055</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055240</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003848</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>38961.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.035130</X>
<sigma_X>0.030000</sigma_X>
<Y>0.432472</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052912</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004473</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>38979.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.079038</X>
<sigma_X>0.030000</sigma_X>
<Y>0.412687</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049474</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003924</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>38998.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.106346</X>
<sigma_X>0.030000</sigma_X>
<Y>0.368533</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049297</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004624</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>39016.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.137719</X>
<sigma_X>0.030000</sigma_X>
<Y>0.306068</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049303</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004805</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>39034.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.170939</X>
<sigma_X>0.030000</sigma_X>
<Y>0.241014</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049219</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005032</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>39052.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.192057</X>
<sigma_X>0.030000</sigma_X>
<Y>0.183271</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052385</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006193</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>39071.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.188129</X>
<sigma_X>0.030000</sigma_X>
<Y>0.136048</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053227</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007303</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>39089.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.158141</X>
<sigma_X>0.030000</sigma_X>
<Y>0.091134</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055038</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007551</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1965</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>39107.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.110088</X>
<sigma_X>0.030000</sigma_X>
<Y>0.048507</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.056955</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008489</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>39126.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.055908</X>
<sigma_X>0.030000</sigma_X>
<Y>0.019072</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057575</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008594</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>39144.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.007949</X>
<sigma_X>0.030000</sigma_X>
<Y>0.013026</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057201</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008716</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>39162.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.036920</X>
<sigma_X>0.030000</sigma_X>
<Y>0.021765</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058117</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007615</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>39180.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.082423</X>
<sigma_X>0.030000</sigma_X>
<Y>0.037232</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058859</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007668</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>39199.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.117176</X>
<sigma_X>0.030000</sigma_X>
<Y>0.059649</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058742</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005957</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>39217.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.141819</X>
<sigma_X>0.030000</sigma_X>
<Y>0.092509</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060708</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005029</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>39235.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.161450</X>
<sigma_X>0.030000</sigma_X>
<Y>0.131578</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060553</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005488</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>39253.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.164821</X>
<sigma_X>0.030000</sigma_X>
<Y>0.165396</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060333</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004559</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>39272.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.150697</X>
<sigma_X>0.030000</sigma_X>
<Y>0.196717</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060080</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004008</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>39290.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.130014</X>
<sigma_X>0.030000</sigma_X>
<Y>0.238130</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057574</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004913</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>39308.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.108328</X>
<sigma_X>0.030000</sigma_X>
<Y>0.282495</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055053</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004673</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>39326.887</MJD>
</time>
<dataEOP>
<pole>
<X>-0.082491</X>
<sigma_X>0.030000</sigma_X>
<Y>0.311535</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052729</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004595</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>39345.150</MJD>
</time>
<dataEOP>
<pole>
<X>-0.052871</X>
<sigma_X>0.030000</sigma_X>
<Y>0.327780</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050859</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005273</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>39363.412</MJD>
</time>
<dataEOP>
<pole>
<X>-0.021758</X>
<sigma_X>0.030000</sigma_X>
<Y>0.335965</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.048045</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004537</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>39381.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.010512</X>
<sigma_X>0.030000</sigma_X>
<Y>0.331069</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049406</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005501</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>39399.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.046274</X>
<sigma_X>0.030000</sigma_X>
<Y>0.313186</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049879</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005760</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>39418.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.079473</X>
<sigma_X>0.030000</sigma_X>
<Y>0.285958</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050755</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005782</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>39436.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.102958</X>
<sigma_X>0.030000</sigma_X>
<Y>0.250271</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054416</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006931</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>39454.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.121443</X>
<sigma_X>0.030000</sigma_X>
<Y>0.210120</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054439</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008494</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1966</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>39472.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.124925</X>
<sigma_X>0.030000</sigma_X>
<Y>0.179743</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055774</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008337</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>39491.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.099884</X>
<sigma_X>0.030000</sigma_X>
<Y>0.165697</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057331</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008716</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>39509.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.063233</X>
<sigma_X>0.030000</sigma_X>
<Y>0.158006</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.056927</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.009035</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>39527.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.037184</X>
<sigma_X>0.030000</sigma_X>
<Y>0.152011</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.056968</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008256</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>39546.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.023843</X>
<sigma_X>0.030000</sigma_X>
<Y>0.147007</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058367</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006885</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>39564.300</MJD>
</time>
<dataEOP>
<pole>
<X>0.014867</X>
<sigma_X>0.030000</sigma_X>
<Y>0.139698</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058890</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006829</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>39582.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.005280</X>
<sigma_X>0.030000</sigma_X>
<Y>0.138533</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059281</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004895</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>39600.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.005124</X>
<sigma_X>0.030000</sigma_X>
<Y>0.146919</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.060820</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004054</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>39619.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.009749</X>
<sigma_X>0.030000</sigma_X>
<Y>0.153984</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059732</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004977</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>39637.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.005766</X>
<sigma_X>0.030000</sigma_X>
<Y>0.156673</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058926</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004031</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>39655.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.002271</X>
<sigma_X>0.030000</sigma_X>
<Y>0.162391</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057409</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004154</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>39673.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.004830</X>
<sigma_X>0.030000</sigma_X>
<Y>0.175389</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053822</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005226</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>39692.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008808</X>
<sigma_X>0.030000</sigma_X>
<Y>0.186401</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051220</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004657</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>39710.400</MJD>
</time>
<dataEOP>
<pole>
<X>-0.011346</X>
<sigma_X>0.030000</sigma_X>
<Y>0.189759</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049541</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004781</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>39728.662</MJD>
</time>
<dataEOP>
<pole>
<X>-0.015408</X>
<sigma_X>0.030000</sigma_X>
<Y>0.189087</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047814</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005157</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>39746.925</MJD>
</time>
<dataEOP>
<pole>
<X>-0.024647</X>
<sigma_X>0.030000</sigma_X>
<Y>0.187952</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047139</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004760</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>39765.187</MJD>
</time>
<dataEOP>
<pole>
<X>-0.031563</X>
<sigma_X>0.030000</sigma_X>
<Y>0.188884</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049200</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005566</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>39783.450</MJD>
</time>
<dataEOP>
<pole>
<X>-0.032540</X>
<sigma_X>0.030000</sigma_X>
<Y>0.195250</Y>
<sigma_Y>0.030000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050442</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006087</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>39801.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.030499</X>
<sigma_X>0.030002</sigma_X>
<Y>0.203517</Y>
<sigma_Y>0.030002</sigma_Y>
</pole>
<nutation>
<dPsi>0.051890</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006236</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>39819.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028350</X>
<sigma_X>0.029962</sigma_X>
<Y>0.212332</Y>
<sigma_Y>0.029962</sigma_Y>
</pole>
<nutation>
<dPsi>0.055262</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007241</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1967</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>39838.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028981</X>
<sigma_X>0.030391</sigma_X>
<Y>0.225906</Y>
<sigma_Y>0.030391</sigma_Y>
</pole>
<nutation>
<dPsi>0.054832</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008596</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>39856.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.026958</X>
<sigma_X>0.024422</sigma_X>
<Y>0.237249</Y>
<sigma_Y>0.024422</sigma_Y>
</pole>
<nutation>
<dPsi>0.055792</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008272</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>39874.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.018441</X>
<sigma_X>0.019720</sigma_X>
<Y>0.240982</Y>
<sigma_Y>0.019720</sigma_Y>
</pole>
<nutation>
<dPsi>0.056906</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008330</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>39893.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008035</X>
<sigma_X>0.020020</sigma_X>
<Y>0.241684</Y>
<sigma_Y>0.020020</sigma_Y>
</pole>
<nutation>
<dPsi>0.055709</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.008128</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>39911.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.007677</X>
<sigma_X>0.020000</sigma_X>
<Y>0.239773</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.056886</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006985</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>39929.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.022548</X>
<sigma_X>0.020000</sigma_X>
<Y>0.236393</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058130</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005768</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>39947.812</MJD>
</time>
<dataEOP>
<pole>
<X>0.031247</X>
<sigma_X>0.020000</sigma_X>
<Y>0.234823</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058680</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005289</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>39966.075</MJD>
</time>
<dataEOP>
<pole>
<X>0.044705</X>
<sigma_X>0.020000</sigma_X>
<Y>0.231763</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059193</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003821</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>39984.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.056216</X>
<sigma_X>0.020000</sigma_X>
<Y>0.222374</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.059966</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003450</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>40002.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.058086</X>
<sigma_X>0.020000</sigma_X>
<Y>0.207969</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.058053</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004184</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>40020.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.060139</X>
<sigma_X>0.020000</sigma_X>
<Y>0.191366</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.056181</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003899</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>40039.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.065524</X>
<sigma_X>0.020000</sigma_X>
<Y>0.173410</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053328</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004446</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>40057.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.064689</X>
<sigma_X>0.020000</sigma_X>
<Y>0.158012</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049480</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004565</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>40075.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.050989</X>
<sigma_X>0.020000</sigma_X>
<Y>0.147425</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047975</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004475</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>40093.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.029334</X>
<sigma_X>0.020000</sigma_X>
<Y>0.140401</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.046688</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004644</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>40112.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.007750</X>
<sigma_X>0.020000</sigma_X>
<Y>0.130759</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.045599</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004731</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>40130.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.012445</X>
<sigma_X>0.020000</sigma_X>
<Y>0.117203</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047493</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004990</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>40148.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.041873</X>
<sigma_X>0.020000</sigma_X>
<Y>0.111361</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049190</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005764</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>40166.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.085782</X>
<sigma_X>0.020000</sigma_X>
<Y>0.124945</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050952</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006209</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>40185.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.124713</X>
<sigma_X>0.020000</sigma_X>
<Y>0.152248</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052497</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006868</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>40203.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.136791</X>
<sigma_X>0.020000</sigma_X>
<Y>0.183387</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055147</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007773</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1968</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>40221.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.130193</X>
<sigma_X>0.020000</sigma_X>
<Y>0.213621</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054100</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007962</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>40240.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.117758</X>
<sigma_X>0.020000</sigma_X>
<Y>0.244222</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054788</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007819</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>40258.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.106536</X>
<sigma_X>0.020000</sigma_X>
<Y>0.278661</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055222</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007482</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>40276.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.096190</X>
<sigma_X>0.020000</sigma_X>
<Y>0.314045</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054334</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006292</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>40294.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.075254</X>
<sigma_X>0.020000</sigma_X>
<Y>0.337314</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.056403</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005108</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>40313.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.038962</X>
<sigma_X>0.020000</sigma_X>
<Y>0.348650</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057096</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004714</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>40331.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.003889</X>
<sigma_X>0.020000</sigma_X>
<Y>0.355222</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057465</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003732</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>40349.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.048456</X>
<sigma_X>0.020000</sigma_X>
<Y>0.349972</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057665</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003196</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>40367.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.089184</X>
<sigma_X>0.020000</sigma_X>
<Y>0.326188</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.057098</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003484</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>40386.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.119162</X>
<sigma_X>0.020000</sigma_X>
<Y>0.294901</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054203</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003301</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>40404.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.136279</X>
<sigma_X>0.020000</sigma_X>
<Y>0.262703</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051935</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003812</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>40422.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.141416</X>
<sigma_X>0.020000</sigma_X>
<Y>0.227223</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.048804</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004161</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>40440.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.136063</X>
<sigma_X>0.020000</sigma_X>
<Y>0.187523</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.045652</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003457</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>40459.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.121841</X>
<sigma_X>0.020000</sigma_X>
<Y>0.149416</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.045578</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003993</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>40477.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.096916</X>
<sigma_X>0.020000</sigma_X>
<Y>0.118360</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044748</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004354</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>40495.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.059910</X>
<sigma_X>0.020000</sigma_X>
<Y>0.092740</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044566</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004209</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>40513.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.020093</X>
<sigma_X>0.020000</sigma_X>
<Y>0.072017</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.048119</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004743</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>40532.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016898</X>
<sigma_X>0.020000</sigma_X>
<Y>0.063396</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049503</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005881</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>40550.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.061438</X>
<sigma_X>0.020000</sigma_X>
<Y>0.066213</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051184</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005911</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1969</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>40568.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.115423</X>
<sigma_X>0.020000</sigma_X>
<Y>0.081560</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052366</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006921</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>40587.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.167338</X>
<sigma_X>0.020000</sigma_X>
<Y>0.119356</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053890</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.007519</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>40605.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.200264</X>
<sigma_X>0.020000</sigma_X>
<Y>0.172092</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052598</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006622</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>40623.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.201231</X>
<sigma_X>0.020000</sigma_X>
<Y>0.226531</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053127</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006220</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>40641.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.179065</X>
<sigma_X>0.020000</sigma_X>
<Y>0.281443</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053634</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005613</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>40660.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.157907</X>
<sigma_X>0.020000</sigma_X>
<Y>0.329860</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053579</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003832</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>40678.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.134061</X>
<sigma_X>0.020000</sigma_X>
<Y>0.365296</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055412</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002815</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>40696.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.093039</X>
<sigma_X>0.020000</sigma_X>
<Y>0.386804</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055553</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003306</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>40714.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.041094</X>
<sigma_X>0.020000</sigma_X>
<Y>0.398747</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.055411</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002144</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>40733.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.015098</X>
<sigma_X>0.020000</sigma_X>
<Y>0.404082</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054704</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002453</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>40751.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.074819</X>
<sigma_X>0.020000</sigma_X>
<Y>0.396868</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052714</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002863</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>40769.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.130338</X>
<sigma_X>0.020000</sigma_X>
<Y>0.371122</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049395</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002292</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>40787.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.172258</X>
<sigma_X>0.020000</sigma_X>
<Y>0.326615</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047210</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003041</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>40806.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.197528</X>
<sigma_X>0.020000</sigma_X>
<Y>0.272935</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044518</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003109</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>40824.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.206605</X>
<sigma_X>0.020000</sigma_X>
<Y>0.217784</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.042481</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002435</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>40842.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.201837</X>
<sigma_X>0.020000</sigma_X>
<Y>0.158063</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.043167</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003008</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>40860.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.179872</X>
<sigma_X>0.020000</sigma_X>
<Y>0.097901</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.043701</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003739</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>40879.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.135239</X>
<sigma_X>0.020000</sigma_X>
<Y>0.050411</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044826</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003669</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>40897.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.074049</X>
<sigma_X>0.020000</sigma_X>
<Y>0.024024</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.048123</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004257</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>40915.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.012435</X>
<sigma_X>0.020000</sigma_X>
<Y>0.007001</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049459</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005447</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1970</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>40933.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.042783</X>
<sigma_X>0.020000</sigma_X>
<Y>-0.000037</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050902</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.005446</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>40952.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.093684</X>
<sigma_X>0.020000</sigma_X>
<Y>0.017257</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051474</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006085</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>40970.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.143730</X>
<sigma_X>0.020000</sigma_X>
<Y>0.057952</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051966</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.006066</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>40988.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.191459</X>
<sigma_X>0.020000</sigma_X>
<Y>0.110148</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051250</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004923</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>41007.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.227758</X>
<sigma_X>0.020000</sigma_X>
<Y>0.166606</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051927</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003964</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>41025.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.239770</X>
<sigma_X>0.020000</sigma_X>
<Y>0.228654</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052870</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003205</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>41043.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.226567</X>
<sigma_X>0.020000</sigma_X>
<Y>0.293776</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053439</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001373</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>41061.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.205059</X>
<sigma_X>0.020000</sigma_X>
<Y>0.347650</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054445</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000700</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>41080.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.177127</X>
<sigma_X>0.020000</sigma_X>
<Y>0.390332</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.054200</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001200</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>41098.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.126771</X>
<sigma_X>0.020000</sigma_X>
<Y>0.430187</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.053640</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000755</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>41116.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.052119</X>
<sigma_X>0.020000</sigma_X>
<Y>0.458607</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051293</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001303</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>41134.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.029557</X>
<sigma_X>0.020000</sigma_X>
<Y>0.463451</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.048318</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001576</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>41153.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.102260</X>
<sigma_X>0.020000</sigma_X>
<Y>0.442033</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.045002</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001283</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>41171.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.163320</X>
<sigma_X>0.020000</sigma_X>
<Y>0.404842</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.042951</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001769</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>41189.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.209993</X>
<sigma_X>0.020000</sigma_X>
<Y>0.359505</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.040994</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001850</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>41207.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.231583</X>
<sigma_X>0.020000</sigma_X>
<Y>0.299862</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.040512</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001603</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>41226.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.228240</X>
<sigma_X>0.020000</sigma_X>
<Y>0.228426</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.041710</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001995</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>41244.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.208981</X>
<sigma_X>0.020000</sigma_X>
<Y>0.160901</Y>
<sigma_Y>0.020000</sigma_Y>
</pole>
<nutation>
<dPsi>0.043221</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002980</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>41262.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.180781</X>
<sigma_X>0.020001</sigma_X>
<Y>0.107183</Y>
<sigma_Y>0.020001</sigma_Y>
</pole>
<nutation>
<dPsi>0.045110</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003440</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>41280.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.142889</X>
<sigma_X>0.019981</sigma_X>
<Y>0.069289</Y>
<sigma_Y>0.019981</sigma_Y>
</pole>
<nutation>
<dPsi>0.047128</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003936</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1971</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>41299.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.091439</X>
<sigma_X>0.020195</sigma_X>
<Y>0.039526</Y>
<sigma_Y>0.020195</sigma_Y>
</pole>
<nutation>
<dPsi>0.048241</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004707</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>41317.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.029580</X>
<sigma_X>0.017223</sigma_X>
<Y>0.018474</Y>
<sigma_Y>0.017223</sigma_Y>
</pole>
<nutation>
<dPsi>0.049313</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004908</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>41335.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.032541</X>
<sigma_X>0.014859</sigma_X>
<Y>0.012100</Y>
<sigma_Y>0.014859</sigma_Y>
</pole>
<nutation>
<dPsi>0.049592</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004827</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>41354.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.083953</X>
<sigma_X>0.015010</sigma_X>
<Y>0.018268</Y>
<sigma_Y>0.015010</sigma_Y>
</pole>
<nutation>
<dPsi>0.049222</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.004392</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>41372.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.124782</X>
<sigma_X>0.015000</sigma_X>
<Y>0.042862</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049215</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002911</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>41390.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.162967</X>
<sigma_X>0.015000</sigma_X>
<Y>0.092695</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050554</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001851</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>41408.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.186224</X>
<sigma_X>0.015000</sigma_X>
<Y>0.155098</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051332</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000799</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>41427.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.191423</X>
<sigma_X>0.015000</sigma_X>
<Y>0.214715</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.051862</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000492</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>41445.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.179479</X>
<sigma_X>0.015000</sigma_X>
<Y>0.264196</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.052472</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000617</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>41463.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.149790</X>
<sigma_X>0.015000</sigma_X>
<Y>0.304228</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.050961</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000427</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>41481.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.104724</X>
<sigma_X>0.015000</sigma_X>
<Y>0.340837</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049555</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000064</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>41500.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.051512</X>
<sigma_X>0.015000</sigma_X>
<Y>0.374349</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.046002</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000094</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>41518.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.005028</X>
<sigma_X>0.015000</sigma_X>
<Y>0.398409</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.043079</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000461</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>41536.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.055644</X>
<sigma_X>0.015000</sigma_X>
<Y>0.406957</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.040647</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000057</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>41554.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.090814</X>
<sigma_X>0.015000</sigma_X>
<Y>0.397079</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.039407</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000515</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>41573.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.113773</X>
<sigma_X>0.015000</sigma_X>
<Y>0.367140</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.038273</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000808</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>41591.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.134317</X>
<sigma_X>0.015000</sigma_X>
<Y>0.326101</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.039530</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000924</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>41609.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.154594</X>
<sigma_X>0.015000</sigma_X>
<Y>0.280711</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.041259</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001285</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>41627.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.162141</X>
<sigma_X>0.015000</sigma_X>
<Y>0.237445</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.042831</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002213</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>41646.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.155242</X>
<sigma_X>0.015000</sigma_X>
<Y>0.202104</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044934</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002930</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>41664.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.142951</X>
<sigma_X>0.015000</sigma_X>
<Y>0.165834</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.046508</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003438</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1972</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>41682.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.125457</X>
<sigma_X>0.015000</sigma_X>
<Y>0.126105</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047078</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003685</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>41701.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.096791</X>
<sigma_X>0.015000</sigma_X>
<Y>0.096001</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047487</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003565</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>41719.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.058605</X>
<sigma_X>0.015000</sigma_X>
<Y>0.084824</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047928</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003011</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>41737.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.021341</X>
<sigma_X>0.015000</sigma_X>
<Y>0.086363</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047055</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002154</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>41755.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017006</X>
<sigma_X>0.015000</sigma_X>
<Y>0.093072</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047820</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000245</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>41774.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.054042</X>
<sigma_X>0.015000</sigma_X>
<Y>0.109834</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049465</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000315</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>41792.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.087470</X>
<sigma_X>0.015000</sigma_X>
<Y>0.142348</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049743</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001438</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>41810.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.110711</X>
<sigma_X>0.015000</sigma_X>
<Y>0.176685</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049746</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001905</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>41828.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.122793</X>
<sigma_X>0.015000</sigma_X>
<Y>0.205671</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.049384</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001710</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>41847.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.120536</X>
<sigma_X>0.015000</sigma_X>
<Y>0.234456</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.046310</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001518</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>41865.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.101494</X>
<sigma_X>0.015000</sigma_X>
<Y>0.268001</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044162</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001124</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>41883.637</MJD>
</time>
<dataEOP>
<pole>
<X>-0.074233</X>
<sigma_X>0.015000</sigma_X>
<Y>0.301831</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.040389</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001132</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>41901.900</MJD>
</time>
<dataEOP>
<pole>
<X>-0.047079</X>
<sigma_X>0.015000</sigma_X>
<Y>0.318872</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.038051</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000801</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>41920.162</MJD>
</time>
<dataEOP>
<pole>
<X>-0.018262</X>
<sigma_X>0.015000</sigma_X>
<Y>0.323489</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.036698</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001298</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>41938.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.013432</X>
<sigma_X>0.015000</sigma_X>
<Y>0.329066</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.036259</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000630</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>41956.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.044874</X>
<sigma_X>0.015000</sigma_X>
<Y>0.327923</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.036250</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000205</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>41974.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.068637</X>
<sigma_X>0.015000</sigma_X>
<Y>0.311822</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.038670</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000172</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>41993.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.083130</X>
<sigma_X>0.015000</sigma_X>
<Y>0.291755</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.040307</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000677</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>42011.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.094208</X>
<sigma_X>0.015000</sigma_X>
<Y>0.276189</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.041697</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001703</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1973</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>42029.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.107414</X>
<sigma_X>0.015000</sigma_X>
<Y>0.258535</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.043431</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002280</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>42048.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.113570</X>
<sigma_X>0.015000</sigma_X>
<Y>0.230640</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044089</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002810</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>42066.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.103138</X>
<sigma_X>0.015000</sigma_X>
<Y>0.202665</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.043920</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002303</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>42084.525</MJD>
</time>
<dataEOP>
<pole>
<X>0.087023</X>
<sigma_X>0.015000</sigma_X>
<Y>0.181450</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044043</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001594</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>42102.787</MJD>
</time>
<dataEOP>
<pole>
<X>0.073798</X>
<sigma_X>0.015000</sigma_X>
<Y>0.168514</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.045098</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000816</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>42121.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.053585</X>
<sigma_X>0.015000</sigma_X>
<Y>0.165096</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044908</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000356</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>42139.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.035272</X>
<sigma_X>0.015000</sigma_X>
<Y>0.176832</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.046149</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002026</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>42157.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.025544</X>
<sigma_X>0.015000</sigma_X>
<Y>0.185521</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.046869</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002116</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>42175.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.012144</X>
<sigma_X>0.015000</sigma_X>
<Y>0.182850</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.047087</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002657</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>42194.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.004192</X>
<sigma_X>0.015000</sigma_X>
<Y>0.181146</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.046226</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002561</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>42212.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007482</X>
<sigma_X>0.015000</sigma_X>
<Y>0.186840</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.044433</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002411</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>42230.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.003936</X>
<sigma_X>0.015000</sigma_X>
<Y>0.198894</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.040651</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002050</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>42248.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.008596</X>
<sigma_X>0.015000</sigma_X>
<Y>0.207976</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.038507</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001926</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>42267.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.008540</X>
<sigma_X>0.015000</sigma_X>
<Y>0.207903</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.035254</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001829</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>42285.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.008552</X>
<sigma_X>0.015000</sigma_X>
<Y>0.208003</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.033624</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001872</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>42303.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.008302</X>
<sigma_X>0.015000</sigma_X>
<Y>0.208342</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.033144</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002156</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>42321.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.000795</X>
<sigma_X>0.015000</sigma_X>
<Y>0.219233</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.033499</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001423</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>42340.200</MJD>
</time>
<dataEOP>
<pole>
<X>-0.013251</X>
<sigma_X>0.015000</sigma_X>
<Y>0.233973</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.034974</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000619</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>42358.462</MJD>
</time>
<dataEOP>
<pole>
<X>-0.024547</X>
<sigma_X>0.015000</sigma_X>
<Y>0.244193</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.037354</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000214</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>42376.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.034402</X>
<sigma_X>0.015000</sigma_X>
<Y>0.250985</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.038608</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000587</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1974</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>42394.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.042423</X>
<sigma_X>0.015000</sigma_X>
<Y>0.258078</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.039472</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001499</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>42413.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.048711</X>
<sigma_X>0.015000</sigma_X>
<Y>0.268876</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.040589</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001674</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>42431.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.048882</X>
<sigma_X>0.015000</sigma_X>
<Y>0.283793</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.040252</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001717</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>42449.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.036124</X>
<sigma_X>0.015000</sigma_X>
<Y>0.301883</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.039650</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000618</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>42468.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016039</X>
<sigma_X>0.015000</sigma_X>
<Y>0.323908</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.040163</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000427</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>42486.300</MJD>
</time>
<dataEOP>
<pole>
<X>0.010295</X>
<sigma_X>0.015000</sigma_X>
<Y>0.338564</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.041260</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001378</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>42504.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.041724</X>
<sigma_X>0.015000</sigma_X>
<Y>0.337197</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.041703</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002407</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>42522.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.069087</X>
<sigma_X>0.015000</sigma_X>
<Y>0.318710</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.042867</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003469</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>42541.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.087345</X>
<sigma_X>0.015000</sigma_X>
<Y>0.293917</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.042060</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003347</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>42559.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.103752</X>
<sigma_X>0.015000</sigma_X>
<Y>0.272244</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.041824</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003108</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>42577.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.126361</X>
<sigma_X>0.015000</sigma_X>
<Y>0.251696</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.039535</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002924</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>42595.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.141628</X>
<sigma_X>0.015000</sigma_X>
<Y>0.228472</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.036801</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002900</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>42614.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.138680</X>
<sigma_X>0.015000</sigma_X>
<Y>0.200594</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.032890</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002728</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>42632.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.129940</X>
<sigma_X>0.015000</sigma_X>
<Y>0.172125</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.031160</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002743</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>42650.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.118910</X>
<sigma_X>0.015000</sigma_X>
<Y>0.146535</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.028895</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002665</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>42668.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.096268</X>
<sigma_X>0.015000</sigma_X>
<Y>0.123823</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.028457</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002741</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>42687.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.061239</X>
<sigma_X>0.015000</sigma_X>
<Y>0.104896</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.029240</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002482</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>42705.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.016219</X>
<sigma_X>0.015000</sigma_X>
<Y>0.094568</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.030217</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001613</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>42723.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.034892</X>
<sigma_X>0.015000</sigma_X>
<Y>0.100660</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.032291</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000504</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>42741.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.078371</X>
<sigma_X>0.015000</sigma_X>
<Y>0.123003</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.034213</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000180</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1975</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>42760.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.116555</X>
<sigma_X>0.015000</sigma_X>
<Y>0.155761</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.035073</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000643</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>42778.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.142431</X>
<sigma_X>0.015000</sigma_X>
<Y>0.194774</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.035286</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001008</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>42796.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.153976</X>
<sigma_X>0.015000</sigma_X>
<Y>0.240596</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.036131</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000863</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>42815.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.154733</X>
<sigma_X>0.015000</sigma_X>
<Y>0.286720</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.035020</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000139</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>42833.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.142629</X>
<sigma_X>0.015000</sigma_X>
<Y>0.327414</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.034774</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000962</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>42851.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.121818</X>
<sigma_X>0.015000</sigma_X>
<Y>0.360787</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.036064</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002058</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>42869.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.092100</X>
<sigma_X>0.015000</sigma_X>
<Y>0.391388</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.036506</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003054</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>42888.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.049016</X>
<sigma_X>0.015000</sigma_X>
<Y>0.421359</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.037049</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003723</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>42906.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000918</X>
<sigma_X>0.015000</sigma_X>
<Y>0.435249</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.037684</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003968</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>42924.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.049586</X>
<sigma_X>0.015000</sigma_X>
<Y>0.426497</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.035300</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003801</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>42942.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.104988</X>
<sigma_X>0.015000</sigma_X>
<Y>0.402250</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.033811</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003294</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>42961.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.157583</X>
<sigma_X>0.015000</sigma_X>
<Y>0.370359</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.030583</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003275</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>42979.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.202249</X>
<sigma_X>0.015000</sigma_X>
<Y>0.333761</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.027503</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003422</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>42997.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.232009</X>
<sigma_X>0.015000</sigma_X>
<Y>0.293010</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.024632</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003560</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>43015.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.239367</X>
<sigma_X>0.015000</sigma_X>
<Y>0.242852</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.023647</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003372</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>43034.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.224667</X>
<sigma_X>0.015000</sigma_X>
<Y>0.190156</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.022449</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003215</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>43052.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.198570</X>
<sigma_X>0.015000</sigma_X>
<Y>0.145985</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.023380</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002914</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>43070.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.166309</X>
<sigma_X>0.015000</sigma_X>
<Y>0.114320</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.025206</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002213</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>43088.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.122791</X>
<sigma_X>0.015000</sigma_X>
<Y>0.091608</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.026212</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001281</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>43107.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.067387</X>
<sigma_X>0.015000</sigma_X>
<Y>0.078564</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.027962</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000411</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>43125.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.001313</X>
<sigma_X>0.015000</sigma_X>
<Y>0.073092</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.029441</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000036</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1976</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>43143.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.070238</X>
<sigma_X>0.015000</sigma_X>
<Y>0.082599</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.029185</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000305</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>43162.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.133831</X>
<sigma_X>0.015000</sigma_X>
<Y>0.114931</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.028652</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000102</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>43180.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.185586</X>
<sigma_X>0.015000</sigma_X>
<Y>0.167173</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.029793</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000448</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>43198.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.222695</X>
<sigma_X>0.015000</sigma_X>
<Y>0.232029</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.028434</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001672</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>43216.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.235778</X>
<sigma_X>0.015000</sigma_X>
<Y>0.298985</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.029249</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002587</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>43235.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.219175</X>
<sigma_X>0.015000</sigma_X>
<Y>0.361058</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.030733</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003530</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>43253.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.179712</X>
<sigma_X>0.015000</sigma_X>
<Y>0.410606</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.030477</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004111</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>43271.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.132931</X>
<sigma_X>0.015000</sigma_X>
<Y>0.449165</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.030348</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004440</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>43289.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.073855</X>
<sigma_X>0.015000</sigma_X>
<Y>0.476592</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.030074</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004293</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>43308.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.004735</X>
<sigma_X>0.015000</sigma_X>
<Y>0.487940</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.026568</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004173</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>43326.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.088168</X>
<sigma_X>0.015000</sigma_X>
<Y>0.479759</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.024116</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003829</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>43344.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.158358</X>
<sigma_X>0.015000</sigma_X>
<Y>0.450730</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.021476</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003949</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>43362.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.212632</X>
<sigma_X>0.015000</sigma_X>
<Y>0.408439</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.018544</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003962</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>43381.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.254395</X>
<sigma_X>0.015000</sigma_X>
<Y>0.356397</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.016908</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004221</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>43399.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.279380</X>
<sigma_X>0.015000</sigma_X>
<Y>0.296471</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.016755</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003763</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>43417.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.277342</X>
<sigma_X>0.015000</sigma_X>
<Y>0.225488</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.016796</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003249</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>43435.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.249362</X>
<sigma_X>0.015000</sigma_X>
<Y>0.151616</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.018518</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002753</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>43454.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.201576</X>
<sigma_X>0.015000</sigma_X>
<Y>0.094880</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.021206</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002045</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>43472.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.141427</X>
<sigma_X>0.015000</sigma_X>
<Y>0.058580</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.021773</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000998</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1977</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>43490.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.071953</X>
<sigma_X>0.015000</sigma_X>
<Y>0.033183</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.022617</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000391</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>43509.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.001605</X>
<sigma_X>0.015000</sigma_X>
<Y>0.025172</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.023784</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000221</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>43527.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.066174</X>
<sigma_X>0.015000</sigma_X>
<Y>0.040914</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.022497</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000363</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>43545.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.132868</X>
<sigma_X>0.015000</sigma_X>
<Y>0.071448</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.021472</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000951</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>43563.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.184303</X>
<sigma_X>0.015000</sigma_X>
<Y>0.110580</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.023314</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001846</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>43582.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.216682</X>
<sigma_X>0.015000</sigma_X>
<Y>0.164822</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.022610</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002815</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>43600.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.226979</X>
<sigma_X>0.015000</sigma_X>
<Y>0.233675</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.023552</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003689</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>43618.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.218023</X>
<sigma_X>0.015000</sigma_X>
<Y>0.311387</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.024366</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004289</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>43636.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.198179</X>
<sigma_X>0.015000</sigma_X>
<Y>0.376965</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.023584</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004272</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>43655.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.165235</X>
<sigma_X>0.015000</sigma_X>
<Y>0.417549</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.022138</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004189</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>43673.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.109158</X>
<sigma_X>0.015000</sigma_X>
<Y>0.447470</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.021377</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004317</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>43691.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.045227</X>
<sigma_X>0.015000</sigma_X>
<Y>0.473303</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.017324</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.004061</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>43709.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.022690</X>
<sigma_X>0.015000</sigma_X>
<Y>0.487602</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.014513</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003818</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>43728.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.096931</X>
<sigma_X>0.015000</sigma_X>
<Y>0.478262</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.012833</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003907</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>43746.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.153645</X>
<sigma_X>0.015000</sigma_X>
<Y>0.445144</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.010557</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003718</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>43764.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.194897</X>
<sigma_X>0.015000</sigma_X>
<Y>0.401548</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.009969</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003887</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>43782.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.224028</X>
<sigma_X>0.015000</sigma_X>
<Y>0.349724</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.011173</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003118</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>43801.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.234668</X>
<sigma_X>0.015000</sigma_X>
<Y>0.283152</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.012225</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002259</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>43819.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.226621</X>
<sigma_X>0.015000</sigma_X>
<Y>0.218009</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.013962</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001620</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>43837.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.207354</X>
<sigma_X>0.015000</sigma_X>
<Y>0.165578</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.016704</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001034</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1978</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>43855.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.176054</X>
<sigma_X>0.015000</sigma_X>
<Y>0.119469</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.016442</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000211</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>43874.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.138953</X>
<sigma_X>0.015000</sigma_X>
<Y>0.085097</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.016695</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000184</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>43892.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.089514</X>
<sigma_X>0.015000</sigma_X>
<Y>0.060397</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.017522</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000191</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>43910.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.031197</X>
<sigma_X>0.015000</sigma_X>
<Y>0.053769</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.016572</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000674</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>43929.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016404</X>
<sigma_X>0.015000</sigma_X>
<Y>0.070464</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.015925</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001468</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>43947.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062671</X>
<sigma_X>0.015000</sigma_X>
<Y>0.100687</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.017930</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002271</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>43965.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.105268</X>
<sigma_X>0.015000</sigma_X>
<Y>0.131704</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.017929</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003182</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>43983.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.137281</X>
<sigma_X>0.015000</sigma_X>
<Y>0.173623</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.018429</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003905</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>44002.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.151103</X>
<sigma_X>0.015000</sigma_X>
<Y>0.217729</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.018339</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003995</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>44020.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.152316</X>
<sigma_X>0.015000</sigma_X>
<Y>0.258039</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.016841</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003867</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>44038.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.146458</X>
<sigma_X>0.015000</sigma_X>
<Y>0.300564</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.014523</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003308</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>44056.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.126888</X>
<sigma_X>0.015000</sigma_X>
<Y>0.341643</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.012706</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003787</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>44075.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.089746</X>
<sigma_X>0.015000</sigma_X>
<Y>0.377681</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.008684</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003573</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>44093.400</MJD>
</time>
<dataEOP>
<pole>
<X>-0.038593</X>
<sigma_X>0.015000</sigma_X>
<Y>0.401137</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.006393</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003414</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>44111.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.014232</X>
<sigma_X>0.015000</sigma_X>
<Y>0.409258</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.005463</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003223</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>44129.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.057307</X>
<sigma_X>0.015000</sigma_X>
<Y>0.410039</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.004335</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003245</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>44148.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.086842</X>
<sigma_X>0.015000</sigma_X>
<Y>0.401061</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.005202</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002815</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>44166.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.105312</X>
<sigma_X>0.015000</sigma_X>
<Y>0.384697</Y>
<sigma_Y>0.015000</sigma_Y>
</pole>
<nutation>
<dPsi>0.007293</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001616</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>44184.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.132373</X>
<sigma_X>0.015002</sigma_X>
<Y>0.359756</Y>
<sigma_Y>0.015002</sigma_Y>
</pole>
<nutation>
<dPsi>0.008231</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000849</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>44202.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.133224</X>
<sigma_X>0.014953</sigma_X>
<Y>0.320713</Y>
<sigma_Y>0.014953</sigma_Y>
</pole>
<nutation>
<dPsi>0.009732</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000084</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1979</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>44221.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.135820</X>
<sigma_X>0.015500</sigma_X>
<Y>0.284892</Y>
<sigma_Y>0.015500</sigma_Y>
</pole>
<nutation>
<dPsi>0.011128</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000518</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>44239.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.141276</X>
<sigma_X>0.007843</sigma_X>
<Y>0.255922</Y>
<sigma_Y>0.007843</sigma_Y>
</pole>
<nutation>
<dPsi>0.010617</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000713</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>44257.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.121167</X>
<sigma_X>0.001627</sigma_X>
<Y>0.222057</Y>
<sigma_Y>0.001627</sigma_Y>
</pole>
<nutation>
<dPsi>0.011207</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000737</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>44276.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.089813</X>
<sigma_X>0.002028</sigma_X>
<Y>0.197603</Y>
<sigma_Y>0.002028</sigma_Y>
</pole>
<nutation>
<dPsi>0.011229</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000087</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>44294.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.064554</X>
<sigma_X>0.002000</sigma_X>
<Y>0.182809</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.011305</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000967</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>44312.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.042227</X>
<sigma_X>0.002000</sigma_X>
<Y>0.179180</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.011668</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001879</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>44330.812</MJD>
</time>
<dataEOP>
<pole>
<X>0.010715</X>
<sigma_X>0.002000</sigma_X>
<Y>0.187431</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.013012</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002160</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>44349.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.021245</X>
<sigma_X>0.002000</sigma_X>
<Y>0.201935</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.013113</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003319</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>44367.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.044846</X>
<sigma_X>0.002000</sigma_X>
<Y>0.221565</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.013324</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003384</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>44385.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.053336</X>
<sigma_X>0.002000</sigma_X>
<Y>0.241004</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.011726</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002984</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>44403.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.056049</X>
<sigma_X>0.002000</sigma_X>
<Y>0.259099</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.009177</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003081</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>44422.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.052946</X>
<sigma_X>0.002000</sigma_X>
<Y>0.280986</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.006637</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002526</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>44440.387</MJD>
</time>
<dataEOP>
<pole>
<X>-0.040758</X>
<sigma_X>0.002000</sigma_X>
<Y>0.302138</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.003976</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003115</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>44458.650</MJD>
</time>
<dataEOP>
<pole>
<X>-0.036286</X>
<sigma_X>0.002000</sigma_X>
<Y>0.315189</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.000963</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.003128</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>44476.912</MJD>
</time>
<dataEOP>
<pole>
<X>-0.032101</X>
<sigma_X>0.002000</sigma_X>
<Y>0.328548</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.000281</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002970</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>44495.175</MJD>
</time>
<dataEOP>
<pole>
<X>-0.031237</X>
<sigma_X>0.002000</sigma_X>
<Y>0.337256</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.000340</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002295</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>44513.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.024114</X>
<sigma_X>0.002000</sigma_X>
<Y>0.345788</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.000414</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002294</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>44531.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.013519</X>
<sigma_X>0.002000</sigma_X>
<Y>0.358754</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.002640</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001339</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>44549.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.000471</X>
<sigma_X>0.002000</sigma_X>
<Y>0.366791</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.004622</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000001</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>44568.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.021893</X>
<sigma_X>0.002000</sigma_X>
<Y>0.373001</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.005701</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000673</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>44586.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.048046</X>
<sigma_X>0.002000</sigma_X>
<Y>0.372951</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.007089</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001177</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1980</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>44604.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.071701</X>
<sigma_X>0.002000</sigma_X>
<Y>0.359271</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.007149</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001842</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>44623.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.077802</X>
<sigma_X>0.002000</sigma_X>
<Y>0.347136</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.006664</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001449</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>44641.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.089582</X>
<sigma_X>0.002000</sigma_X>
<Y>0.330082</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.007811</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000957</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>44659.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.086595</X>
<sigma_X>0.002000</sigma_X>
<Y>0.316407</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.007387</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000070</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>44677.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.089869</X>
<sigma_X>0.002000</sigma_X>
<Y>0.303879</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.008049</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001056</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>44696.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.102184</X>
<sigma_X>0.002000</sigma_X>
<Y>0.288553</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.009406</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001959</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>44714.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.097324</X>
<sigma_X>0.002000</sigma_X>
<Y>0.269120</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.009511</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001723</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>44732.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.094032</X>
<sigma_X>0.002000</sigma_X>
<Y>0.256842</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.009116</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002694</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>44750.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.091311</X>
<sigma_X>0.002000</sigma_X>
<Y>0.241537</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.008680</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002330</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>44769.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.077657</X>
<sigma_X>0.002000</sigma_X>
<Y>0.226409</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.005622</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001949</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>44787.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.067583</X>
<sigma_X>0.002000</sigma_X>
<Y>0.209771</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.002253</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002116</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>44805.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.058812</X>
<sigma_X>0.002000</sigma_X>
<Y>0.193672</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.000149</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001923</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>44823.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.033324</X>
<sigma_X>0.002000</sigma_X>
<Y>0.185346</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002472</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002181</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>44842.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.003392</X>
<sigma_X>0.002000</sigma_X>
<Y>0.185051</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004152</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.002171</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>44860.425</MJD>
</time>
<dataEOP>
<pole>
<X>-0.023569</X>
<sigma_X>0.002000</sigma_X>
<Y>0.193912</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003316</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001779</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>44878.687</MJD>
</time>
<dataEOP>
<pole>
<X>-0.060806</X>
<sigma_X>0.002000</sigma_X>
<Y>0.208790</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002671</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000914</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>44896.950</MJD>
</time>
<dataEOP>
<pole>
<X>-0.086080</X>
<sigma_X>0.002000</sigma_X>
<Y>0.235495</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001312</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000243</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>44915.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.104870</X>
<sigma_X>0.002000</sigma_X>
<Y>0.264795</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.001239</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000578</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>44933.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.110884</X>
<sigma_X>0.002000</sigma_X>
<Y>0.297878</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.002355</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001752</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1981</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>44951.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.113170</X>
<sigma_X>0.002000</sigma_X>
<Y>0.337779</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.003530</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002481</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>44970.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.093708</X>
<sigma_X>0.002000</sigma_X>
<Y>0.376345</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.004493</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002478</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>44988.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.058703</X>
<sigma_X>0.002000</sigma_X>
<Y>0.405685</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.003974</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002833</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>45006.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028696</X>
<sigma_X>0.002000</sigma_X>
<Y>0.428545</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.003630</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001940</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>45024.787</MJD>
</time>
<dataEOP>
<pole>
<X>0.016176</X>
<sigma_X>0.002000</sigma_X>
<Y>0.440297</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.005735</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001366</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>45043.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.063679</X>
<sigma_X>0.002000</sigma_X>
<Y>0.439277</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.005444</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000278</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>45061.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.108767</X>
<sigma_X>0.002000</sigma_X>
<Y>0.429045</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.006360</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000580</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>45079.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.143519</X>
<sigma_X>0.002000</sigma_X>
<Y>0.410488</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.007865</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001257</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>45097.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.174698</X>
<sigma_X>0.002000</sigma_X>
<Y>0.378586</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.006875</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000985</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>45116.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.202483</X>
<sigma_X>0.002000</sigma_X>
<Y>0.335195</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.005803</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001579</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>45134.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.225725</X>
<sigma_X>0.002000</sigma_X>
<Y>0.284775</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.004629</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001234</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>45152.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.225641</X>
<sigma_X>0.002000</sigma_X>
<Y>0.234873</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.001062</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001109</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>45170.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.210471</X>
<sigma_X>0.002000</sigma_X>
<Y>0.184018</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002227</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001254</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>45189.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.186295</X>
<sigma_X>0.002000</sigma_X>
<Y>0.139256</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003882</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001083</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>45207.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.146907</X>
<sigma_X>0.002000</sigma_X>
<Y>0.101438</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005739</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.001095</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>45225.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.090850</X>
<sigma_X>0.002000</sigma_X>
<Y>0.077164</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005661</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000896</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>45243.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.026978</X>
<sigma_X>0.002000</sigma_X>
<Y>0.068736</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004065</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000106</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>45262.200</MJD>
</time>
<dataEOP>
<pole>
<X>-0.036218</X>
<sigma_X>0.002000</sigma_X>
<Y>0.078928</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003130</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000574</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>45280.462</MJD>
</time>
<dataEOP>
<pole>
<X>-0.092202</X>
<sigma_X>0.002000</sigma_X>
<Y>0.099454</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.000822</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001860</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>45298.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.143734</X>
<sigma_X>0.002000</sigma_X>
<Y>0.138782</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.000994</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002200</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1982</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>45316.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.185558</X>
<sigma_X>0.002000</sigma_X>
<Y>0.194395</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.001416</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003167</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>45335.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.203578</X>
<sigma_X>0.002000</sigma_X>
<Y>0.258823</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.002253</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003282</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>45353.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.209371</X>
<sigma_X>0.002000</sigma_X>
<Y>0.319900</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.003137</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003167</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>45371.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.189148</X>
<sigma_X>0.002000</sigma_X>
<Y>0.386546</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.002514</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002839</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>45390.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.165771</X>
<sigma_X>0.002000</sigma_X>
<Y>0.446079</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.002332</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001606</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>45408.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.128776</X>
<sigma_X>0.002000</sigma_X>
<Y>0.499175</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.004839</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001525</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>45426.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.060386</X>
<sigma_X>0.002000</sigma_X>
<Y>0.541817</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.004792</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000241</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>45444.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.018435</X>
<sigma_X>0.002000</sigma_X>
<Y>0.560548</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.005604</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000607</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>45463.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.088429</X>
<sigma_X>0.002000</sigma_X>
<Y>0.553914</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.006144</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000767</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>45481.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.164993</X>
<sigma_X>0.002000</sigma_X>
<Y>0.530415</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.004584</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000492</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>45499.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.221846</X>
<sigma_X>0.002000</sigma_X>
<Y>0.479894</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.002440</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000962</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>45517.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.270307</X>
<sigma_X>0.002000</sigma_X>
<Y>0.420282</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>0.000513</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000649</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>45536.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.307037</X>
<sigma_X>0.002000</sigma_X>
<Y>0.348698</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003317</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000638</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>45554.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.324413</X>
<sigma_X>0.002000</sigma_X>
<Y>0.274548</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005423</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000895</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>45572.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.312182</X>
<sigma_X>0.002000</sigma_X>
<Y>0.195039</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006076</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000303</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>45590.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.271745</X>
<sigma_X>0.002000</sigma_X>
<Y>0.122782</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007103</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>-0.000372</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>45609.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.213537</X>
<sigma_X>0.002000</sigma_X>
<Y>0.064572</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005304</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.000290</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>45627.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.144638</X>
<sigma_X>0.002000</sigma_X>
<Y>0.027326</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003766</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.001478</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>45645.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.062169</X>
<sigma_X>0.002000</sigma_X>
<Y>0.015164</Y>
<sigma_Y>0.002000</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002312</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.002059</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>45663.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016546</X>
<sigma_X>0.001997</sigma_X>
<Y>0.025768</Y>
<sigma_Y>0.001996</sigma_Y>
</pole>
<nutation>
<dPsi>0.000017</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003076</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1983</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>45682.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.084972</X>
<sigma_X>0.002032</sigma_X>
<Y>0.050917</Y>
<sigma_Y>0.002039</sigma_Y>
</pole>
<nutation>
<dPsi>0.001148</dPsi>
<sigma_dPsi>0.002514</sigma_dPsi>
<dEpsilon>0.003321</dEpsilon>
<sigma_dEpsilon>0.001000</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>45700.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.134868</X>
<sigma_X>0.001544</sigma_X>
<Y>0.091946</Y>
<sigma_Y>0.001433</sigma_Y>
</pole>
<nutation>
<dPsi>0.001493</dPsi>
<sigma_dPsi>0.002418</sigma_dPsi>
<dEpsilon>0.004123</dEpsilon>
<sigma_dEpsilon>0.000962</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>45718.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.182007</X>
<sigma_X>0.001044</sigma_X>
<Y>0.144975</Y>
<sigma_Y>0.000878</sigma_Y>
</pole>
<nutation>
<dPsi>0.002094</dPsi>
<sigma_dPsi>0.001629</sigma_dPsi>
<dEpsilon>0.003322</dEpsilon>
<sigma_dEpsilon>0.000503</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>45737.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.218274</X>
<sigma_X>0.001153</sigma_X>
<Y>0.202676</Y>
<sigma_Y>0.001126</sigma_Y>
</pole>
<nutation>
<dPsi>0.002896</dPsi>
<sigma_dPsi>0.003122</sigma_dPsi>
<dEpsilon>0.003515</dEpsilon>
<sigma_dEpsilon>0.000908</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>45755.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.241826</X>
<sigma_X>0.001326</sigma_X>
<Y>0.265915</Y>
<sigma_Y>0.001103</sigma_Y>
</pole>
<nutation>
<dPsi>0.002542</dPsi>
<sigma_dPsi>0.002147</sigma_dPsi>
<dEpsilon>0.002466</dEpsilon>
<sigma_dEpsilon>0.000462</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>45773.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.241921</X>
<sigma_X>0.001155</sigma_X>
<Y>0.342476</Y>
<sigma_Y>0.001098</sigma_Y>
</pole>
<nutation>
<dPsi>0.003043</dPsi>
<sigma_dPsi>0.001164</sigma_dPsi>
<dEpsilon>0.001041</dEpsilon>
<sigma_dEpsilon>0.000351</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>45791.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.214146</X>
<sigma_X>0.001195</sigma_X>
<Y>0.414472</Y>
<sigma_Y>0.000905</sigma_Y>
</pole>
<nutation>
<dPsi>0.004809</dPsi>
<sigma_dPsi>0.001192</sigma_dPsi>
<dEpsilon>0.001474</dEpsilon>
<sigma_dEpsilon>0.000368</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>45810.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.170944</X>
<sigma_X>0.002580</sigma_X>
<Y>0.480013</Y>
<sigma_Y>0.002578</sigma_Y>
</pole>
<nutation>
<dPsi>0.005059</dPsi>
<sigma_dPsi>0.001252</sigma_dPsi>
<dEpsilon>0.000096</dEpsilon>
<sigma_dEpsilon>0.000398</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>45828.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.106300</X>
<sigma_X>0.002754</sigma_X>
<Y>0.527660</Y>
<sigma_Y>0.001917</sigma_Y>
</pole>
<nutation>
<dPsi>0.005344</dPsi>
<sigma_dPsi>0.001342</sigma_dPsi>
<dEpsilon>-0.000692</dEpsilon>
<sigma_dEpsilon>0.000437</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>45846.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.036666</X>
<sigma_X>0.000857</sigma_X>
<Y>0.557517</Y>
<sigma_Y>0.000691</sigma_Y>
</pole>
<nutation>
<dPsi>0.004299</dPsi>
<sigma_dPsi>0.000943</sigma_dPsi>
<dEpsilon>-0.000046</dEpsilon>
<sigma_dEpsilon>0.000298</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>45864.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.042866</X>
<sigma_X>0.000999</sigma_X>
<Y>0.559341</Y>
<sigma_Y>0.000767</sigma_Y>
</pole>
<nutation>
<dPsi>0.001790</dPsi>
<sigma_dPsi>0.001352</sigma_dPsi>
<dEpsilon>0.000195</dEpsilon>
<sigma_dEpsilon>0.000448</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>45883.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.118220</X>
<sigma_X>0.000970</sigma_X>
<Y>0.543921</Y>
<sigma_Y>0.000757</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001001</dPsi>
<sigma_dPsi>0.001637</sigma_dPsi>
<dEpsilon>-0.000331</dEpsilon>
<sigma_dEpsilon>0.000485</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>45901.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.192219</X>
<sigma_X>0.001109</sigma_X>
<Y>0.505161</Y>
<sigma_Y>0.000858</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003327</dPsi>
<sigma_dPsi>0.002594</sigma_dPsi>
<dEpsilon>0.000109</dEpsilon>
<sigma_dEpsilon>0.000519</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>45919.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.256065</X>
<sigma_X>0.000841</sigma_X>
<Y>0.451368</Y>
<sigma_Y>0.000704</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006654</dPsi>
<sigma_dPsi>0.001197</sigma_dPsi>
<dEpsilon>-0.000003</dEpsilon>
<sigma_dEpsilon>0.000385</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>45937.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.294554</X>
<sigma_X>0.000826</sigma_X>
<Y>0.387457</Y>
<sigma_Y>0.000684</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006651</dPsi>
<sigma_dPsi>0.001280</sigma_dPsi>
<dEpsilon>-0.000162</dEpsilon>
<sigma_dEpsilon>0.000382</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>45956.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.307230</X>
<sigma_X>0.000967</sigma_X>
<Y>0.316821</Y>
<sigma_Y>0.000749</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006885</dPsi>
<sigma_dPsi>0.001257</sigma_dPsi>
<dEpsilon>0.000809</dEpsilon>
<sigma_dEpsilon>0.000403</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>45974.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.310999</X>
<sigma_X>0.000983</sigma_X>
<Y>0.246495</Y>
<sigma_Y>0.000748</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006842</dPsi>
<sigma_dPsi>0.001207</sigma_dPsi>
<dEpsilon>0.000708</dEpsilon>
<sigma_dEpsilon>0.000391</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>45992.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.284484</X>
<sigma_X>0.000986</sigma_X>
<Y>0.180982</Y>
<sigma_Y>0.000739</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004010</dPsi>
<sigma_dPsi>0.001375</sigma_dPsi>
<dEpsilon>0.001508</dEpsilon>
<sigma_dEpsilon>0.000475</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>46010.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.247492</X>
<sigma_X>0.001269</sigma_X>
<Y>0.123066</Y>
<sigma_Y>0.000839</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003000</dPsi>
<sigma_dPsi>0.000892</sigma_dPsi>
<dEpsilon>0.002917</dEpsilon>
<sigma_dEpsilon>0.000293</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>46029.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.197453</X>
<sigma_X>0.001136</sigma_X>
<Y>0.080558</Y>
<sigma_Y>0.000830</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001405</dPsi>
<sigma_dPsi>0.001204</sigma_dPsi>
<dEpsilon>0.003289</dEpsilon>
<sigma_dEpsilon>0.000468</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>46047.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.126042</X>
<sigma_X>0.000954</sigma_X>
<Y>0.041107</Y>
<sigma_Y>0.000766</sigma_Y>
</pole>
<nutation>
<dPsi>0.000717</dPsi>
<sigma_dPsi>0.001420</sigma_dPsi>
<dEpsilon>0.003598</dEpsilon>
<sigma_dEpsilon>0.000542</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1984</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>46065.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.044160</X>
<sigma_X>0.001496</sigma_X>
<Y>0.022704</Y>
<sigma_Y>0.001052</sigma_Y>
</pole>
<nutation>
<dPsi>0.000726</dPsi>
<sigma_dPsi>0.000918</sigma_dPsi>
<dEpsilon>0.004286</dEpsilon>
<sigma_dEpsilon>0.000274</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>46084.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.023507</X>
<sigma_X>0.001119</sigma_X>
<Y>0.036659</Y>
<sigma_Y>0.001050</sigma_Y>
</pole>
<nutation>
<dPsi>0.001133</dPsi>
<sigma_dPsi>0.001368</sigma_dPsi>
<dEpsilon>0.004385</dEpsilon>
<sigma_dEpsilon>0.000310</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>46102.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.077573</X>
<sigma_X>0.001248</sigma_X>
<Y>0.064508</Y>
<sigma_Y>0.000912</sigma_Y>
</pole>
<nutation>
<dPsi>0.001966</dPsi>
<sigma_dPsi>0.001702</sigma_dPsi>
<dEpsilon>0.003079</dEpsilon>
<sigma_dEpsilon>0.000447</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>46120.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.133107</X>
<sigma_X>0.000970</sigma_X>
<Y>0.102932</Y>
<sigma_Y>0.000789</sigma_Y>
</pole>
<nutation>
<dPsi>0.002342</dPsi>
<sigma_dPsi>0.001775</sigma_dPsi>
<dEpsilon>0.003144</dEpsilon>
<sigma_dEpsilon>0.000755</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>46138.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.184226</X>
<sigma_X>0.001036</sigma_X>
<Y>0.157561</Y>
<sigma_Y>0.000719</sigma_Y>
</pole>
<nutation>
<dPsi>0.002673</dPsi>
<sigma_dPsi>0.002104</sigma_dPsi>
<dEpsilon>0.001690</dEpsilon>
<sigma_dEpsilon>0.000546</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>46157.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.201444</X>
<sigma_X>0.000922</sigma_X>
<Y>0.230483</Y>
<sigma_Y>0.000714</sigma_Y>
</pole>
<nutation>
<dPsi>0.004385</dPsi>
<sigma_dPsi>0.000988</sigma_dPsi>
<dEpsilon>0.000201</dEpsilon>
<sigma_dEpsilon>0.000278</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>46175.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.197573</X>
<sigma_X>0.000882</sigma_X>
<Y>0.298367</Y>
<sigma_Y>0.000670</sigma_Y>
</pole>
<nutation>
<dPsi>0.004642</dPsi>
<sigma_dPsi>0.001227</sigma_dPsi>
<dEpsilon>0.001017</dEpsilon>
<sigma_dEpsilon>0.000410</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>46193.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.184011</X>
<sigma_X>0.001063</sigma_X>
<Y>0.364287</Y>
<sigma_Y>0.001113</sigma_Y>
</pole>
<nutation>
<dPsi>0.004237</dPsi>
<sigma_dPsi>0.001672</sigma_dPsi>
<dEpsilon>-0.000322</dEpsilon>
<sigma_dEpsilon>0.000393</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>46211.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.140385</X>
<sigma_X>0.001122</sigma_X>
<Y>0.418577</Y>
<sigma_Y>0.000969</sigma_Y>
</pole>
<nutation>
<dPsi>0.003937</dPsi>
<sigma_dPsi>0.001355</sigma_dPsi>
<dEpsilon>-0.000710</dEpsilon>
<sigma_dEpsilon>0.000349</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>46230.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.095337</X>
<sigma_X>0.000911</sigma_X>
<Y>0.458916</Y>
<sigma_Y>0.000711</sigma_Y>
</pole>
<nutation>
<dPsi>0.001295</dPsi>
<sigma_dPsi>0.001187</sigma_dPsi>
<dEpsilon>0.000454</dEpsilon>
<sigma_dEpsilon>0.000374</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>46248.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.044953</X>
<sigma_X>0.000875</sigma_X>
<Y>0.482374</Y>
<sigma_Y>0.000698</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002005</dPsi>
<sigma_dPsi>0.001139</sigma_dPsi>
<dEpsilon>0.000258</dEpsilon>
<sigma_dEpsilon>0.000360</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>46266.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.016833</X>
<sigma_X>0.000842</sigma_X>
<Y>0.494157</Y>
<sigma_Y>0.000682</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004140</dPsi>
<sigma_dPsi>0.001400</sigma_dPsi>
<dEpsilon>-0.000018</dEpsilon>
<sigma_dEpsilon>0.000401</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>46284.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.076333</X>
<sigma_X>0.000808</sigma_X>
<Y>0.493470</Y>
<sigma_Y>0.000650</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006802</dPsi>
<sigma_dPsi>0.001322</sigma_dPsi>
<dEpsilon>0.000439</dEpsilon>
<sigma_dEpsilon>0.000570</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>46303.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.135466</X>
<sigma_X>0.000901</sigma_X>
<Y>0.476387</Y>
<sigma_Y>0.000748</sigma_Y>
</pole>
<nutation>
<dPsi>-0.008291</dPsi>
<sigma_dPsi>0.001506</sigma_dPsi>
<dEpsilon>0.000289</dEpsilon>
<sigma_dEpsilon>0.000622</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>46321.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.181796</X>
<sigma_X>0.000942</sigma_X>
<Y>0.444992</Y>
<sigma_Y>0.000757</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007116</dPsi>
<sigma_dPsi>0.001340</sigma_dPsi>
<dEpsilon>0.000385</dEpsilon>
<sigma_dEpsilon>0.000444</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>46339.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.211253</X>
<sigma_X>0.000937</sigma_X>
<Y>0.401707</Y>
<sigma_Y>0.000710</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006883</dPsi>
<sigma_dPsi>0.001264</sigma_dPsi>
<dEpsilon>0.001298</dEpsilon>
<sigma_dEpsilon>0.000515</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>46357.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.227622</X>
<sigma_X>0.001075</sigma_X>
<Y>0.347550</Y>
<sigma_Y>0.000901</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005782</dPsi>
<sigma_dPsi>0.002011</sigma_dPsi>
<dEpsilon>0.001358</dEpsilon>
<sigma_dEpsilon>0.000586</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>46376.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.228772</X>
<sigma_X>0.000842</sigma_X>
<Y>0.298902</Y>
<sigma_Y>0.000695</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002245</dPsi>
<sigma_dPsi>0.001169</sigma_dPsi>
<dEpsilon>0.001963</dEpsilon>
<sigma_dEpsilon>0.000676</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>46394.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.226652</X>
<sigma_X>0.000828</sigma_X>
<Y>0.252125</Y>
<sigma_Y>0.000694</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001929</dPsi>
<sigma_dPsi>0.000940</sigma_dPsi>
<dEpsilon>0.003557</dEpsilon>
<sigma_dEpsilon>0.000297</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1985</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>46412.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.209595</X>
<sigma_X>0.001066</sigma_X>
<Y>0.209982</Y>
<sigma_Y>0.000828</sigma_Y>
</pole>
<nutation>
<dPsi>-0.000820</dPsi>
<sigma_dPsi>0.002916</sigma_dPsi>
<dEpsilon>0.003487</dEpsilon>
<sigma_dEpsilon>0.000497</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>46431.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.187277</X>
<sigma_X>0.001091</sigma_X>
<Y>0.169806</Y>
<sigma_Y>0.000766</sigma_Y>
</pole>
<nutation>
<dPsi>0.001097</dPsi>
<sigma_dPsi>0.001375</sigma_dPsi>
<dEpsilon>0.003650</dEpsilon>
<sigma_dEpsilon>0.000835</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>46449.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.147207</X>
<sigma_X>0.000895</sigma_X>
<Y>0.137720</Y>
<sigma_Y>0.000641</sigma_Y>
</pole>
<nutation>
<dPsi>-0.000426</dPsi>
<sigma_dPsi>0.001297</sigma_dPsi>
<dEpsilon>0.004094</dEpsilon>
<sigma_dEpsilon>0.000519</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>46467.525</MJD>
</time>
<dataEOP>
<pole>
<X>0.098545</X>
<sigma_X>0.000623</sigma_X>
<Y>0.120269</Y>
<sigma_Y>0.000372</sigma_Y>
</pole>
<nutation>
<dPsi>0.000382</dPsi>
<sigma_dPsi>0.001041</sigma_dPsi>
<dEpsilon>0.003402</dEpsilon>
<sigma_dEpsilon>0.000378</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>46485.787</MJD>
</time>
<dataEOP>
<pole>
<X>0.049224</X>
<sigma_X>0.003509</sigma_X>
<Y>0.116832</Y>
<sigma_Y>0.003272</sigma_Y>
</pole>
<nutation>
<dPsi>0.001570</dPsi>
<sigma_dPsi>0.001091</sigma_dPsi>
<dEpsilon>0.002260</dEpsilon>
<sigma_dEpsilon>0.000371</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>46504.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.004617</X>
<sigma_X>0.000524</sigma_X>
<Y>0.120704</Y>
<sigma_Y>0.000368</sigma_Y>
</pole>
<nutation>
<dPsi>0.001897</dPsi>
<sigma_dPsi>0.000955</sigma_dPsi>
<dEpsilon>0.001782</dEpsilon>
<sigma_dEpsilon>0.000329</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>46522.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.045161</X>
<sigma_X>0.000967</sigma_X>
<Y>0.137819</Y>
<sigma_Y>0.000923</sigma_Y>
</pole>
<nutation>
<dPsi>0.002737</dPsi>
<sigma_dPsi>0.001677</sigma_dPsi>
<dEpsilon>0.000464</dEpsilon>
<sigma_dEpsilon>0.000484</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>46540.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.075569</X>
<sigma_X>0.000893</sigma_X>
<Y>0.173519</Y>
<sigma_Y>0.000626</sigma_Y>
</pole>
<nutation>
<dPsi>0.004705</dPsi>
<sigma_dPsi>0.001332</sigma_dPsi>
<dEpsilon>-0.000696</dEpsilon>
<sigma_dEpsilon>0.000465</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>46558.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.091708</X>
<sigma_X>0.000949</sigma_X>
<Y>0.210906</Y>
<sigma_Y>0.000861</sigma_Y>
</pole>
<nutation>
<dPsi>0.003847</dPsi>
<sigma_dPsi>0.001624</sigma_dPsi>
<dEpsilon>0.000263</dEpsilon>
<sigma_dEpsilon>0.000765</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>46577.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.103701</X>
<sigma_X>0.000937</sigma_X>
<Y>0.247833</Y>
<sigma_Y>0.000683</sigma_Y>
</pole>
<nutation>
<dPsi>0.002431</dPsi>
<sigma_dPsi>0.001197</sigma_dPsi>
<dEpsilon>-0.000822</dEpsilon>
<sigma_dEpsilon>0.000427</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>46595.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.098239</X>
<sigma_X>0.000952</sigma_X>
<Y>0.286311</Y>
<sigma_Y>0.000631</sigma_Y>
</pole>
<nutation>
<dPsi>0.001378</dPsi>
<sigma_dPsi>0.000782</sigma_dPsi>
<dEpsilon>-0.000430</dEpsilon>
<sigma_dEpsilon>0.000503</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>46613.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.072180</X>
<sigma_X>0.000976</sigma_X>
<Y>0.326172</Y>
<sigma_Y>0.000614</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002439</dPsi>
<sigma_dPsi>0.001091</sigma_dPsi>
<dEpsilon>0.000266</dEpsilon>
<sigma_dEpsilon>0.000407</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>46631.887</MJD>
</time>
<dataEOP>
<pole>
<X>-0.044369</X>
<sigma_X>0.000418</sigma_X>
<Y>0.358554</Y>
<sigma_Y>0.000617</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005425</dPsi>
<sigma_dPsi>0.000965</sigma_dPsi>
<dEpsilon>-0.000084</dEpsilon>
<sigma_dEpsilon>0.000372</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>46650.150</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016349</X>
<sigma_X>0.005261</sigma_X>
<Y>0.376683</Y>
<sigma_Y>0.001439</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007168</dPsi>
<sigma_dPsi>0.000804</sigma_dPsi>
<dEpsilon>0.000158</dEpsilon>
<sigma_dEpsilon>0.000292</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>46668.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.011517</X>
<sigma_X>0.001779</sigma_X>
<Y>0.391761</Y>
<sigma_Y>0.000804</sigma_Y>
</pole>
<nutation>
<dPsi>-0.009766</dPsi>
<sigma_dPsi>0.000955</sigma_dPsi>
<dEpsilon>0.000120</dEpsilon>
<sigma_dEpsilon>0.000330</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>46686.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.039501</X>
<sigma_X>0.000911</sigma_X>
<Y>0.398004</Y>
<sigma_Y>0.000669</sigma_Y>
</pole>
<nutation>
<dPsi>-0.008821</dPsi>
<sigma_dPsi>0.000845</sigma_dPsi>
<dEpsilon>0.000155</dEpsilon>
<sigma_dEpsilon>0.000311</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>46704.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.061440</X>
<sigma_X>0.000949</sigma_X>
<Y>0.394350</Y>
<sigma_Y>0.000674</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007572</dPsi>
<sigma_dPsi>0.001081</sigma_dPsi>
<dEpsilon>0.000641</dEpsilon>
<sigma_dEpsilon>0.000412</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>46723.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.084593</X>
<sigma_X>0.000839</sigma_X>
<Y>0.390212</Y>
<sigma_Y>0.000605</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006252</dPsi>
<sigma_dPsi>0.001501</sigma_dPsi>
<dEpsilon>0.001331</dEpsilon>
<sigma_dEpsilon>0.001050</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>46741.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.108727</X>
<sigma_X>0.000901</sigma_X>
<Y>0.380108</Y>
<sigma_Y>0.000701</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004455</dPsi>
<sigma_dPsi>0.001104</sigma_dPsi>
<dEpsilon>0.001812</dEpsilon>
<sigma_dEpsilon>0.000597</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>46759.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.123271</X>
<sigma_X>0.000903</sigma_X>
<Y>0.358620</Y>
<sigma_Y>0.000611</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001126</dPsi>
<sigma_dPsi>0.000764</sigma_dPsi>
<dEpsilon>0.002512</dEpsilon>
<sigma_dEpsilon>0.000361</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1986</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>46777.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.139069</X>
<sigma_X>0.000883</sigma_X>
<Y>0.334079</Y>
<sigma_Y>0.000650</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001913</dPsi>
<sigma_dPsi>0.000968</sigma_dPsi>
<dEpsilon>0.003542</dEpsilon>
<sigma_dEpsilon>0.000629</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>46796.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.145871</X>
<sigma_X>0.000998</sigma_X>
<Y>0.312543</Y>
<sigma_Y>0.000710</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001110</dPsi>
<sigma_dPsi>0.000877</sigma_dPsi>
<dEpsilon>0.003074</dEpsilon>
<sigma_dEpsilon>0.000346</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>46814.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.139787</X>
<sigma_X>0.000751</sigma_X>
<Y>0.287832</Y>
<sigma_Y>0.000579</sigma_Y>
</pole>
<nutation>
<dPsi>0.000391</dPsi>
<sigma_dPsi>0.000855</sigma_dPsi>
<dEpsilon>0.003452</dEpsilon>
<sigma_dEpsilon>0.000313</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>46832.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.129757</X>
<sigma_X>0.000870</sigma_X>
<Y>0.265645</Y>
<sigma_Y>0.000673</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001385</dPsi>
<sigma_dPsi>0.001297</sigma_dPsi>
<dEpsilon>0.002641</dEpsilon>
<sigma_dEpsilon>0.000590</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>46851.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.121601</X>
<sigma_X>0.000913</sigma_X>
<Y>0.248154</Y>
<sigma_Y>0.000658</sigma_Y>
</pole>
<nutation>
<dPsi>-0.000087</dPsi>
<sigma_dPsi>0.001048</sigma_dPsi>
<dEpsilon>0.001691</dEpsilon>
<sigma_dEpsilon>0.000385</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>46869.300</MJD>
</time>
<dataEOP>
<pole>
<X>0.109902</X>
<sigma_X>0.000848</sigma_X>
<Y>0.224477</Y>
<sigma_Y>0.000660</sigma_Y>
</pole>
<nutation>
<dPsi>0.001179</dPsi>
<sigma_dPsi>0.001719</sigma_dPsi>
<dEpsilon>0.001188</dEpsilon>
<sigma_dEpsilon>0.000481</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>46887.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.094179</X>
<sigma_X>0.000859</sigma_X>
<Y>0.213425</Y>
<sigma_Y>0.000662</sigma_Y>
</pole>
<nutation>
<dPsi>0.001505</dPsi>
<sigma_dPsi>0.001219</sigma_dPsi>
<dEpsilon>0.000083</dEpsilon>
<sigma_dEpsilon>0.000395</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>46905.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.072647</X>
<sigma_X>0.000736</sigma_X>
<Y>0.205154</Y>
<sigma_Y>0.000597</sigma_Y>
</pole>
<nutation>
<dPsi>0.002648</dPsi>
<sigma_dPsi>0.000782</sigma_dPsi>
<dEpsilon>-0.000979</dEpsilon>
<sigma_dEpsilon>0.000347</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>46924.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.052297</X>
<sigma_X>0.000813</sigma_X>
<Y>0.200620</Y>
<sigma_Y>0.000697</sigma_Y>
</pole>
<nutation>
<dPsi>0.003865</dPsi>
<sigma_dPsi>0.001388</sigma_dPsi>
<dEpsilon>-0.001226</dEpsilon>
<sigma_dEpsilon>0.000543</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>46942.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.030410</X>
<sigma_X>0.000784</sigma_X>
<Y>0.197988</Y>
<sigma_Y>0.000626</sigma_Y>
</pole>
<nutation>
<dPsi>0.002208</dPsi>
<sigma_dPsi>0.001581</sigma_dPsi>
<dEpsilon>-0.000718</dEpsilon>
<sigma_dEpsilon>0.000985</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>46960.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.014730</X>
<sigma_X>0.000850</sigma_X>
<Y>0.199023</Y>
<sigma_Y>0.000638</sigma_Y>
</pole>
<nutation>
<dPsi>0.000215</dPsi>
<sigma_dPsi>0.000847</sigma_dPsi>
<dEpsilon>-0.001084</dEpsilon>
<sigma_dEpsilon>0.000325</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>46978.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007426</X>
<sigma_X>0.000841</sigma_X>
<Y>0.207018</Y>
<sigma_Y>0.000722</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002074</dPsi>
<sigma_dPsi>0.000877</sigma_dPsi>
<dEpsilon>-0.000192</dEpsilon>
<sigma_dEpsilon>0.000368</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>46997.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.025233</X>
<sigma_X>0.000805</sigma_X>
<Y>0.217965</Y>
<sigma_Y>0.000581</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006465</dPsi>
<sigma_dPsi>0.000918</sigma_dPsi>
<dEpsilon>-0.000598</dEpsilon>
<sigma_dEpsilon>0.000326</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>47015.400</MJD>
</time>
<dataEOP>
<pole>
<X>-0.031032</X>
<sigma_X>0.002858</sigma_X>
<Y>0.235686</Y>
<sigma_Y>0.001970</sigma_Y>
</pole>
<nutation>
<dPsi>-0.008180</dPsi>
<sigma_dPsi>0.001543</sigma_dPsi>
<dEpsilon>-0.000649</dEpsilon>
<sigma_dEpsilon>0.000805</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>47033.662</MJD>
</time>
<dataEOP>
<pole>
<X>-0.039019</X>
<sigma_X>0.001549</sigma_X>
<Y>0.255028</Y>
<sigma_Y>0.001538</sigma_Y>
</pole>
<nutation>
<dPsi>-0.009751</dPsi>
<sigma_dPsi>0.001106</sigma_dPsi>
<dEpsilon>0.000004</dEpsilon>
<sigma_dEpsilon>0.000478</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>47051.925</MJD>
</time>
<dataEOP>
<pole>
<X>-0.043393</X>
<sigma_X>0.000726</sigma_X>
<Y>0.272768</Y>
<sigma_Y>0.000518</sigma_Y>
</pole>
<nutation>
<dPsi>-0.011541</dPsi>
<sigma_dPsi>0.001259</sigma_dPsi>
<dEpsilon>-0.000537</dEpsilon>
<sigma_dEpsilon>0.000491</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>47070.187</MJD>
</time>
<dataEOP>
<pole>
<X>-0.055674</X>
<sigma_X>0.000860</sigma_X>
<Y>0.296371</Y>
<sigma_Y>0.000672</sigma_Y>
</pole>
<nutation>
<dPsi>-0.008841</dPsi>
<sigma_dPsi>0.001139</sigma_dPsi>
<dEpsilon>-0.000323</dEpsilon>
<sigma_dEpsilon>0.000492</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>47088.450</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062545</X>
<sigma_X>0.000835</sigma_X>
<Y>0.318594</Y>
<sigma_Y>0.000701</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007432</dPsi>
<sigma_dPsi>0.001224</sigma_dPsi>
<dEpsilon>0.000940</dEpsilon>
<sigma_dEpsilon>0.000578</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>47106.712</MJD>
</time>
<dataEOP>
<pole>
<X>-0.059857</X>
<sigma_X>0.000786</sigma_X>
<Y>0.342283</Y>
<sigma_Y>0.000609</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006002</dPsi>
<sigma_dPsi>0.001219</sigma_dPsi>
<dEpsilon>0.001197</dEpsilon>
<sigma_dEpsilon>0.000848</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>47124.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.057304</X>
<sigma_X>0.001017</sigma_X>
<Y>0.371488</Y>
<sigma_Y>0.000760</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004170</dPsi>
<sigma_dPsi>0.000827</sigma_dPsi>
<dEpsilon>0.002012</dEpsilon>
<sigma_dEpsilon>0.000363</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1987</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>47143.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.051123</X>
<sigma_X>0.000822</sigma_X>
<Y>0.395401</Y>
<sigma_Y>0.000614</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001894</dPsi>
<sigma_dPsi>0.000895</sigma_dPsi>
<dEpsilon>0.002904</dEpsilon>
<sigma_dEpsilon>0.000661</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>47161.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.024938</X>
<sigma_X>0.000796</sigma_X>
<Y>0.412351</Y>
<sigma_Y>0.000697</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003154</dPsi>
<sigma_dPsi>0.000990</sigma_dPsi>
<dEpsilon>0.002852</dEpsilon>
<sigma_dEpsilon>0.000387</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>47179.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.003926</X>
<sigma_X>0.000629</sigma_X>
<Y>0.425163</Y>
<sigma_Y>0.000504</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002445</dPsi>
<sigma_dPsi>0.000905</sigma_dPsi>
<dEpsilon>0.002220</dEpsilon>
<sigma_dEpsilon>0.000394</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>47198.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.044268</X>
<sigma_X>0.000756</sigma_X>
<Y>0.433005</Y>
<sigma_Y>0.000566</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001297</dPsi>
<sigma_dPsi>0.000832</sigma_dPsi>
<dEpsilon>0.002487</dEpsilon>
<sigma_dEpsilon>0.000380</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>47216.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.066541</X>
<sigma_X>0.001769</sigma_X>
<Y>0.430169</Y>
<sigma_Y>0.001320</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002529</dPsi>
<sigma_dPsi>0.004070</sigma_dPsi>
<dEpsilon>0.000620</dEpsilon>
<sigma_dEpsilon>0.001141</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>47234.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.104794</X>
<sigma_X>0.000752</sigma_X>
<Y>0.428162</Y>
<sigma_Y>0.000651</sigma_Y>
</pole>
<nutation>
<dPsi>-0.000971</dPsi>
<sigma_dPsi>0.001644</sigma_dPsi>
<dEpsilon>-0.000404</dEpsilon>
<sigma_dEpsilon>0.000829</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>47252.812</MJD>
</time>
<dataEOP>
<pole>
<X>0.131977</X>
<sigma_X>0.001062</sigma_X>
<Y>0.404963</Y>
<sigma_Y>0.000937</sigma_Y>
</pole>
<nutation>
<dPsi>0.000275</dPsi>
<sigma_dPsi>0.002836</sigma_dPsi>
<dEpsilon>-0.000171</dEpsilon>
<sigma_dEpsilon>0.001428</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>47271.075</MJD>
</time>
<dataEOP>
<pole>
<X>0.148939</X>
<sigma_X>0.000833</sigma_X>
<Y>0.377738</Y>
<sigma_Y>0.000824</sigma_Y>
</pole>
<nutation>
<dPsi>-0.000083</dPsi>
<sigma_dPsi>0.000983</sigma_dPsi>
<dEpsilon>-0.001655</dEpsilon>
<sigma_dEpsilon>0.000293</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>47289.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.170741</X>
<sigma_X>0.000893</sigma_X>
<Y>0.354320</Y>
<sigma_Y>0.000751</sigma_Y>
</pole>
<nutation>
<dPsi>0.001003</dPsi>
<sigma_dPsi>0.001599</sigma_dPsi>
<dEpsilon>-0.002155</dEpsilon>
<sigma_dEpsilon>0.000433</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>47307.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.174336</X>
<sigma_X>0.000961</sigma_X>
<Y>0.321995</Y>
<sigma_Y>0.000852</sigma_Y>
</pole>
<nutation>
<dPsi>0.000606</dPsi>
<sigma_dPsi>0.000837</sigma_dPsi>
<dEpsilon>-0.001512</dEpsilon>
<sigma_dEpsilon>0.000391</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>47325.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.165469</X>
<sigma_X>0.000775</sigma_X>
<Y>0.288782</Y>
<sigma_Y>0.000675</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001985</dPsi>
<sigma_dPsi>0.000711</sigma_dPsi>
<dEpsilon>-0.001649</dEpsilon>
<sigma_dEpsilon>0.000309</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>47344.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.167620</X>
<sigma_X>0.000996</sigma_X>
<Y>0.251594</Y>
<sigma_Y>0.000747</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004252</dPsi>
<sigma_dPsi>0.000744</sigma_dPsi>
<dEpsilon>-0.001375</dEpsilon>
<sigma_dEpsilon>0.000304</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>47362.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.161298</X>
<sigma_X>0.000961</sigma_X>
<Y>0.216140</Y>
<sigma_Y>0.000830</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007176</dPsi>
<sigma_dPsi>0.000390</sigma_dPsi>
<dEpsilon>-0.000892</dEpsilon>
<sigma_dEpsilon>0.000236</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>47380.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.140381</X>
<sigma_X>0.001599</sigma_X>
<Y>0.181411</Y>
<sigma_Y>0.001132</sigma_Y>
</pole>
<nutation>
<dPsi>-0.010584</dPsi>
<sigma_dPsi>0.006905</sigma_dPsi>
<dEpsilon>-0.001674</dEpsilon>
<sigma_dEpsilon>0.001920</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>47398.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.107541</X>
<sigma_X>0.000932</sigma_X>
<Y>0.154771</Y>
<sigma_Y>0.000756</sigma_Y>
</pole>
<nutation>
<dPsi>-0.010912</dPsi>
<sigma_dPsi>0.002355</sigma_dPsi>
<dEpsilon>-0.001472</dEpsilon>
<sigma_dEpsilon>0.000777</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>47417.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.065662</X>
<sigma_X>0.000626</sigma_X>
<Y>0.137375</Y>
<sigma_Y>0.000542</sigma_Y>
</pole>
<nutation>
<dPsi>-0.011332</dPsi>
<sigma_dPsi>0.000963</sigma_dPsi>
<dEpsilon>-0.000460</dEpsilon>
<sigma_dEpsilon>0.000378</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>47435.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.010436</X>
<sigma_X>0.001396</sigma_X>
<Y>0.129528</Y>
<sigma_Y>0.001178</sigma_Y>
</pole>
<nutation>
<dPsi>-0.011855</dPsi>
<sigma_dPsi>0.001179</sigma_dPsi>
<dEpsilon>-0.000973</dEpsilon>
<sigma_dEpsilon>0.000536</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>47453.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.048604</X>
<sigma_X>0.001164</sigma_X>
<Y>0.139596</Y>
<sigma_Y>0.000994</sigma_Y>
</pole>
<nutation>
<dPsi>-0.008721</dPsi>
<sigma_dPsi>0.001473</sigma_dPsi>
<dEpsilon>-0.000710</dEpsilon>
<sigma_dEpsilon>0.001017</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>47471.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.101543</X>
<sigma_X>0.000661</sigma_X>
<Y>0.164877</Y>
<sigma_Y>0.000523</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006787</dPsi>
<sigma_dPsi>0.000817</sigma_dPsi>
<dEpsilon>0.000973</dEpsilon>
<sigma_dEpsilon>0.000366</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>47490.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.138460</X>
<sigma_X>0.000944</sigma_X>
<Y>0.209094</Y>
<sigma_Y>0.001188</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005448</dPsi>
<sigma_dPsi>0.000644</sigma_dPsi>
<dEpsilon>0.000844</dEpsilon>
<sigma_dEpsilon>0.000280</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>47508.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.165159</X>
<sigma_X>0.000677</sigma_X>
<Y>0.260438</Y>
<sigma_Y>0.000506</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004039</dPsi>
<sigma_dPsi>0.000752</sigma_dPsi>
<dEpsilon>0.001683</dEpsilon>
<sigma_dEpsilon>0.000331</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1988</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>47526.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.161438</X>
<sigma_X>0.000984</sigma_X>
<Y>0.315079</Y>
<sigma_Y>0.001275</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003166</dPsi>
<sigma_dPsi>0.004480</sigma_dPsi>
<dEpsilon>0.002160</dEpsilon>
<sigma_dEpsilon>0.001387</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>47545.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.142419</X>
<sigma_X>0.001228</sigma_X>
<Y>0.359472</Y>
<sigma_Y>0.001210</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004045</dPsi>
<sigma_dPsi>0.001805</sigma_dPsi>
<dEpsilon>0.001691</dEpsilon>
<sigma_dEpsilon>0.000856</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>47563.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.118334</X>
<sigma_X>0.001980</sigma_X>
<Y>0.399273</Y>
<sigma_Y>0.001726</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003702</dPsi>
<sigma_dPsi>0.002242</sigma_dPsi>
<dEpsilon>0.000706</dEpsilon>
<sigma_dEpsilon>0.001313</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>47581.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.075477</X>
<sigma_X>0.000917</sigma_X>
<Y>0.437645</Y>
<sigma_Y>0.000916</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002506</dPsi>
<sigma_dPsi>0.002031</sigma_dPsi>
<dEpsilon>0.000428</dEpsilon>
<sigma_dEpsilon>0.000620</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>47599.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.027620</X>
<sigma_X>0.000605</sigma_X>
<Y>0.466757</Y>
<sigma_Y>0.000586</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002994</dPsi>
<sigma_dPsi>0.000830</sigma_dPsi>
<dEpsilon>-0.001552</dEpsilon>
<sigma_dEpsilon>0.000231</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>47618.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.029229</X>
<sigma_X>0.000563</sigma_X>
<Y>0.481090</Y>
<sigma_Y>0.000520</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001341</dPsi>
<sigma_dPsi>0.001187</sigma_dPsi>
<dEpsilon>-0.002455</dEpsilon>
<sigma_dEpsilon>0.000376</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>47636.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.084414</X>
<sigma_X>0.000469</sigma_X>
<Y>0.481561</Y>
<sigma_Y>0.000491</sigma_Y>
</pole>
<nutation>
<dPsi>-0.000602</dPsi>
<sigma_dPsi>0.000468</sigma_dPsi>
<dEpsilon>-0.002002</dEpsilon>
<sigma_dEpsilon>0.000263</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>47654.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.126849</X>
<sigma_X>0.002046</sigma_X>
<Y>0.470822</Y>
<sigma_Y>0.001916</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001656</dPsi>
<sigma_dPsi>0.002939</sigma_dPsi>
<dEpsilon>-0.003254</dEpsilon>
<sigma_dEpsilon>0.000601</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>47672.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.170276</X>
<sigma_X>0.001060</sigma_X>
<Y>0.444717</Y>
<sigma_Y>0.000878</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001852</dPsi>
<sigma_dPsi>0.000835</sigma_dPsi>
<dEpsilon>-0.003135</dEpsilon>
<sigma_dEpsilon>0.000389</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>47691.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.203117</X>
<sigma_X>0.000662</sigma_X>
<Y>0.412281</Y>
<sigma_Y>0.000612</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003921</dPsi>
<sigma_dPsi>0.000737</sigma_dPsi>
<dEpsilon>-0.002588</dEpsilon>
<sigma_dEpsilon>0.000302</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>47709.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.238023</X>
<sigma_X>0.000551</sigma_X>
<Y>0.364946</Y>
<sigma_Y>0.000538</sigma_Y>
</pole>
<nutation>
<dPsi>-0.006949</dPsi>
<sigma_dPsi>0.001496</sigma_dPsi>
<dEpsilon>-0.002791</dEpsilon>
<sigma_dEpsilon>0.000607</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>47727.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.258106</X>
<sigma_X>0.000737</sigma_X>
<Y>0.312356</Y>
<sigma_Y>0.000813</sigma_Y>
</pole>
<nutation>
<dPsi>-0.009471</dPsi>
<sigma_dPsi>0.000890</sigma_dPsi>
<dEpsilon>-0.002311</dEpsilon>
<sigma_dEpsilon>0.000364</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>47745.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.259187</X>
<sigma_X>0.000869</sigma_X>
<Y>0.255401</Y>
<sigma_Y>0.001127</sigma_Y>
</pole>
<nutation>
<dPsi>-0.012197</dPsi>
<sigma_dPsi>0.000850</sigma_dPsi>
<dEpsilon>-0.002329</dEpsilon>
<sigma_dEpsilon>0.000348</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>47764.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.250783</X>
<sigma_X>0.000552</sigma_X>
<Y>0.198588</Y>
<sigma_Y>0.000520</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013654</dPsi>
<sigma_dPsi>0.000857</sigma_dPsi>
<dEpsilon>-0.002497</dEpsilon>
<sigma_dEpsilon>0.000330</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>47782.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.217791</X>
<sigma_X>0.000638</sigma_X>
<Y>0.146600</Y>
<sigma_Y>0.000598</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013457</dPsi>
<sigma_dPsi>0.001232</sigma_dPsi>
<dEpsilon>-0.002339</dEpsilon>
<sigma_dEpsilon>0.000398</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>47800.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.165416</X>
<sigma_X>0.000571</sigma_X>
<Y>0.106279</Y>
<sigma_Y>0.000532</sigma_Y>
</pole>
<nutation>
<dPsi>-0.012621</dPsi>
<sigma_dPsi>0.000945</sigma_dPsi>
<dEpsilon>-0.001187</dEpsilon>
<sigma_dEpsilon>0.000385</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>47818.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.098216</X>
<sigma_X>0.000563</sigma_X>
<Y>0.082729</Y>
<sigma_Y>0.000557</sigma_Y>
</pole>
<nutation>
<dPsi>-0.011468</dPsi>
<sigma_dPsi>0.000744</sigma_dPsi>
<dEpsilon>-0.001197</dEpsilon>
<sigma_dEpsilon>0.000266</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>47837.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.030737</X>
<sigma_X>0.000576</sigma_X>
<Y>0.074309</Y>
<sigma_Y>0.000585</sigma_Y>
</pole>
<nutation>
<dPsi>-0.008912</dPsi>
<sigma_dPsi>0.000809</sigma_dPsi>
<dEpsilon>-0.000741</dEpsilon>
<sigma_dEpsilon>0.000329</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>47855.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.038690</X>
<sigma_X>0.000542</sigma_X>
<Y>0.087012</Y>
<sigma_Y>0.000520</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007242</dPsi>
<sigma_dPsi>0.000882</sigma_dPsi>
<dEpsilon>0.000476</dEpsilon>
<sigma_dEpsilon>0.000333</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1989</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>47873.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.090201</X>
<sigma_X>0.000551</sigma_X>
<Y>0.118342</Y>
<sigma_Y>0.000536</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005967</dPsi>
<sigma_dPsi>0.000659</sigma_dPsi>
<dEpsilon>0.000538</dEpsilon>
<sigma_dEpsilon>0.000280</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>47892.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.131546</X>
<sigma_X>0.000731</sigma_X>
<Y>0.163208</Y>
<sigma_Y>0.000780</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005429</dPsi>
<sigma_dPsi>0.000711</sigma_dPsi>
<dEpsilon>0.000961</dEpsilon>
<sigma_dEpsilon>0.000295</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>47910.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.166736</X>
<sigma_X>0.001006</sigma_X>
<Y>0.214487</Y>
<sigma_Y>0.000624</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005550</dPsi>
<sigma_dPsi>0.000870</sigma_dPsi>
<dEpsilon>0.000739</dEpsilon>
<sigma_dEpsilon>0.000344</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>47928.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.202585</X>
<sigma_X>0.001066</sigma_X>
<Y>0.276461</Y>
<sigma_Y>0.000656</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005783</dPsi>
<sigma_dPsi>0.000553</sigma_dPsi>
<dEpsilon>0.000117</dEpsilon>
<sigma_dEpsilon>0.000401</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>47946.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.199274</X>
<sigma_X>0.000365</sigma_X>
<Y>0.345552</Y>
<sigma_Y>0.000388</sigma_Y>
</pole>
<nutation>
<dPsi>-0.004880</dPsi>
<sigma_dPsi>0.000402</sigma_dPsi>
<dEpsilon>-0.001056</dEpsilon>
<sigma_dEpsilon>0.000186</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>47965.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.186003</X>
<sigma_X>0.000397</sigma_X>
<Y>0.411883</Y>
<sigma_Y>0.000413</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003746</dPsi>
<sigma_dPsi>0.001840</sigma_dPsi>
<dEpsilon>-0.001838</dEpsilon>
<sigma_dEpsilon>0.000279</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>47983.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.153375</X>
<sigma_X>0.000337</sigma_X>
<Y>0.472131</Y>
<sigma_Y>0.000343</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003599</dPsi>
<sigma_dPsi>0.000749</sigma_dPsi>
<dEpsilon>-0.003385</dEpsilon>
<sigma_dEpsilon>0.000338</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>48001.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.102562</X>
<sigma_X>0.000280</sigma_X>
<Y>0.524087</Y>
<sigma_Y>0.000272</sigma_Y>
</pole>
<nutation>
<dPsi>-0.001887</dPsi>
<sigma_dPsi>0.000450</sigma_dPsi>
<dEpsilon>-0.003882</dEpsilon>
<sigma_dEpsilon>0.000185</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>48019.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.050364</X>
<sigma_X>0.000362</sigma_X>
<Y>0.557145</Y>
<sigma_Y>0.000357</sigma_Y>
</pole>
<nutation>
<dPsi>-0.002303</dPsi>
<sigma_dPsi>0.000500</sigma_dPsi>
<dEpsilon>-0.003902</dEpsilon>
<sigma_dEpsilon>0.000202</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>48038.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.024973</X>
<sigma_X>0.000358</sigma_X>
<Y>0.573727</Y>
<sigma_Y>0.000375</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003552</dPsi>
<sigma_dPsi>0.000422</sigma_dPsi>
<dEpsilon>-0.004412</dEpsilon>
<sigma_dEpsilon>0.000179</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>48056.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.095134</X>
<sigma_X>0.000559</sigma_X>
<Y>0.569149</Y>
<sigma_Y>0.000701</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005226</dPsi>
<sigma_dPsi>0.000556</sigma_dPsi>
<dEpsilon>-0.004033</dEpsilon>
<sigma_dEpsilon>0.000226</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>48074.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.166009</X>
<sigma_X>0.000437</sigma_X>
<Y>0.542142</Y>
<sigma_Y>0.000498</sigma_Y>
</pole>
<nutation>
<dPsi>-0.008007</dPsi>
<sigma_dPsi>0.000455</sigma_dPsi>
<dEpsilon>-0.003786</dEpsilon>
<sigma_dEpsilon>0.000187</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>48092.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.230094</X>
<sigma_X>0.000363</sigma_X>
<Y>0.499593</Y>
<sigma_Y>0.000380</sigma_Y>
</pole>
<nutation>
<dPsi>-0.010828</dPsi>
<sigma_dPsi>0.000784</sigma_dPsi>
<dEpsilon>-0.003815</dEpsilon>
<sigma_dEpsilon>0.000297</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>48111.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.275545</X>
<sigma_X>0.000481</sigma_X>
<Y>0.439929</Y>
<sigma_Y>0.000533</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013253</dPsi>
<sigma_dPsi>0.000817</sigma_dPsi>
<dEpsilon>-0.003262</dEpsilon>
<sigma_dEpsilon>0.000326</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>48129.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.303522</X>
<sigma_X>0.000414</sigma_X>
<Y>0.379821</Y>
<sigma_Y>0.000424</sigma_Y>
</pole>
<nutation>
<dPsi>-0.015745</dPsi>
<sigma_dPsi>0.000784</sigma_dPsi>
<dEpsilon>-0.003294</dEpsilon>
<sigma_dEpsilon>0.000316</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>48147.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.311609</X>
<sigma_X>0.000376</sigma_X>
<Y>0.309902</Y>
<sigma_Y>0.000396</sigma_Y>
</pole>
<nutation>
<dPsi>-0.015207</dPsi>
<sigma_dPsi>0.000701</sigma_dPsi>
<dEpsilon>-0.003197</dEpsilon>
<sigma_dEpsilon>0.000288</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>48165.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.295448</X>
<sigma_X>0.000565</sigma_X>
<Y>0.242456</Y>
<sigma_Y>0.000394</sigma_Y>
</pole>
<nutation>
<dPsi>-0.014421</dPsi>
<sigma_dPsi>0.000493</sigma_dPsi>
<dEpsilon>-0.003018</dEpsilon>
<sigma_dEpsilon>0.000203</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>48184.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.258851</X>
<sigma_X>0.000652</sigma_X>
<Y>0.179992</Y>
<sigma_Y>0.001227</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013078</dPsi>
<sigma_dPsi>0.000689</sigma_dPsi>
<dEpsilon>-0.002043</dEpsilon>
<sigma_dEpsilon>0.000195</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>48202.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.214398</X>
<sigma_X>0.000586</sigma_X>
<Y>0.131338</Y>
<sigma_Y>0.001222</sigma_Y>
</pole>
<nutation>
<dPsi>-0.010790</dPsi>
<sigma_dPsi>0.001023</sigma_dPsi>
<dEpsilon>-0.001412</dEpsilon>
<sigma_dEpsilon>0.000258</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>48220.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.156871</X>
<sigma_X>0.000379</sigma_X>
<Y>0.095791</Y>
<sigma_Y>0.000410</sigma_Y>
</pole>
<nutation>
<dPsi>-0.008920</dPsi>
<sigma_dPsi>0.000525</sigma_dPsi>
<dEpsilon>-0.000666</dEpsilon>
<sigma_dEpsilon>0.000232</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1990</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>48238.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.092901</X>
<sigma_X>0.000410</sigma_X>
<Y>0.075861</Y>
<sigma_Y>0.000442</sigma_Y>
</pole>
<nutation>
<dPsi>-0.008268</dPsi>
<sigma_dPsi>0.000493</sigma_dPsi>
<dEpsilon>-0.000290</dEpsilon>
<sigma_dEpsilon>0.000212</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>48257.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.024592</X>
<sigma_X>0.000464</sigma_X>
<Y>0.071240</Y>
<sigma_Y>0.000511</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007423</dPsi>
<sigma_dPsi>0.000528</sigma_dPsi>
<dEpsilon>-0.000173</dEpsilon>
<sigma_dEpsilon>0.000203</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>48275.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.038155</X>
<sigma_X>0.000299</sigma_X>
<Y>0.086626</Y>
<sigma_Y>0.000311</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007061</dPsi>
<sigma_dPsi>0.000830</sigma_dPsi>
<dEpsilon>-0.000291</dEpsilon>
<sigma_dEpsilon>0.000333</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>48293.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.102773</X>
<sigma_X>0.000261</sigma_X>
<Y>0.109917</Y>
<sigma_Y>0.000264</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007665</dPsi>
<sigma_dPsi>0.000370</sigma_dPsi>
<dEpsilon>-0.000945</dEpsilon>
<sigma_dEpsilon>0.000146</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>48312.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.158812</X>
<sigma_X>0.000288</sigma_X>
<Y>0.155152</Y>
<sigma_Y>0.000292</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007741</dPsi>
<sigma_dPsi>0.000485</sigma_dPsi>
<dEpsilon>-0.002183</dEpsilon>
<sigma_dEpsilon>0.000203</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>48330.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.194143</X>
<sigma_X>0.000437</sigma_X>
<Y>0.214845</Y>
<sigma_Y>0.000468</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005943</dPsi>
<sigma_dPsi>0.000425</sigma_dPsi>
<dEpsilon>-0.002928</dEpsilon>
<sigma_dEpsilon>0.000165</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>48348.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.218396</X>
<sigma_X>0.000487</sigma_X>
<Y>0.286189</Y>
<sigma_Y>0.000473</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005426</dPsi>
<sigma_dPsi>0.000470</sigma_dPsi>
<dEpsilon>-0.004172</dEpsilon>
<sigma_dEpsilon>0.000189</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>48366.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.213660</X>
<sigma_X>0.000393</sigma_X>
<Y>0.359183</Y>
<sigma_Y>0.000405</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005071</dPsi>
<sigma_dPsi>0.000430</sigma_dPsi>
<dEpsilon>-0.005153</dEpsilon>
<sigma_dEpsilon>0.000178</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>48385.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.197036</X>
<sigma_X>0.000349</sigma_X>
<Y>0.427447</Y>
<sigma_Y>0.000360</sigma_Y>
</pole>
<nutation>
<dPsi>-0.003894</dPsi>
<sigma_dPsi>0.000566</sigma_dPsi>
<dEpsilon>-0.005230</dEpsilon>
<sigma_dEpsilon>0.000236</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>48403.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.148713</X>
<sigma_X>0.000314</sigma_X>
<Y>0.487134</Y>
<sigma_Y>0.000329</sigma_Y>
</pole>
<nutation>
<dPsi>-0.005652</dPsi>
<sigma_dPsi>0.000452</sigma_dPsi>
<dEpsilon>-0.005331</dEpsilon>
<sigma_dEpsilon>0.000257</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>48421.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.088695</X>
<sigma_X>0.000316</sigma_X>
<Y>0.534439</Y>
<sigma_Y>0.000337</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007438</dPsi>
<sigma_dPsi>0.000337</sigma_dPsi>
<dEpsilon>-0.005302</dEpsilon>
<sigma_dEpsilon>0.000145</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>48439.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.027642</X>
<sigma_X>0.000437</sigma_X>
<Y>0.562997</Y>
<sigma_Y>0.000451</sigma_Y>
</pole>
<nutation>
<dPsi>-0.010416</dPsi>
<sigma_dPsi>0.000847</sigma_dPsi>
<dEpsilon>-0.004912</dEpsilon>
<sigma_dEpsilon>0.000306</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>48458.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.048390</X>
<sigma_X>0.000379</sigma_X>
<Y>0.572671</Y>
<sigma_Y>0.000428</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013506</dPsi>
<sigma_dPsi>0.000493</sigma_dPsi>
<dEpsilon>-0.004811</dEpsilon>
<sigma_dEpsilon>0.000203</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>48476.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.119434</X>
<sigma_X>0.000319</sigma_X>
<Y>0.560750</Y>
<sigma_Y>0.000361</sigma_Y>
</pole>
<nutation>
<dPsi>-0.015780</dPsi>
<sigma_dPsi>0.000422</sigma_dPsi>
<dEpsilon>-0.005025</dEpsilon>
<sigma_dEpsilon>0.000172</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>48494.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.173051</X>
<sigma_X>0.000321</sigma_X>
<Y>0.527947</Y>
<sigma_Y>0.000330</sigma_Y>
</pole>
<nutation>
<dPsi>-0.017236</dPsi>
<sigma_dPsi>0.000430</sigma_dPsi>
<dEpsilon>-0.004253</dEpsilon>
<sigma_dEpsilon>0.000262</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>48512.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.217445</X>
<sigma_X>0.000316</sigma_X>
<Y>0.487134</Y>
<sigma_Y>0.000356</sigma_Y>
</pole>
<nutation>
<dPsi>-0.018841</dPsi>
<sigma_dPsi>0.000420</sigma_dPsi>
<dEpsilon>-0.004202</dEpsilon>
<sigma_dEpsilon>0.000174</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>48531.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.250444</X>
<sigma_X>0.000294</sigma_X>
<Y>0.434164</Y>
<sigma_Y>0.000300</sigma_Y>
</pole>
<nutation>
<dPsi>-0.016826</dPsi>
<sigma_dPsi>0.000452</sigma_dPsi>
<dEpsilon>-0.004140</dEpsilon>
<sigma_dEpsilon>0.000257</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>48549.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.260695</X>
<sigma_X>0.000253</sigma_X>
<Y>0.372555</Y>
<sigma_Y>0.000256</sigma_Y>
</pole>
<nutation>
<dPsi>-0.015296</dPsi>
<sigma_dPsi>0.000450</sigma_dPsi>
<dEpsilon>-0.003628</dEpsilon>
<sigma_dEpsilon>0.000190</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>48567.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.260829</X>
<sigma_X>0.000250</sigma_X>
<Y>0.316868</Y>
<sigma_Y>0.000248</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013774</dPsi>
<sigma_dPsi>0.000430</sigma_dPsi>
<dEpsilon>-0.002737</dEpsilon>
<sigma_dEpsilon>0.000181</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>48585.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.247082</X>
<sigma_X>0.000394</sigma_X>
<Y>0.262793</Y>
<sigma_Y>0.000416</sigma_Y>
</pole>
<nutation>
<dPsi>-0.011384</dPsi>
<sigma_dPsi>0.000568</sigma_dPsi>
<dEpsilon>-0.001865</dEpsilon>
<sigma_dEpsilon>0.000243</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1991</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>48604.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.218627</X>
<sigma_X>0.000280</sigma_X>
<Y>0.210225</Y>
<sigma_Y>0.000275</sigma_Y>
</pole>
<nutation>
<dPsi>-0.010207</dPsi>
<sigma_dPsi>0.000478</sigma_dPsi>
<dEpsilon>-0.001042</dEpsilon>
<sigma_dEpsilon>0.000235</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>48622.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.182496</X>
<sigma_X>0.000510</sigma_X>
<Y>0.168304</Y>
<sigma_Y>0.000686</sigma_Y>
</pole>
<nutation>
<dPsi>-0.010211</dPsi>
<sigma_dPsi>0.000435</sigma_dPsi>
<dEpsilon>-0.001091</dEpsilon>
<sigma_dEpsilon>0.000173</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>48640.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.132695</X>
<sigma_X>0.000317</sigma_X>
<Y>0.138690</Y>
<sigma_Y>0.000314</sigma_Y>
</pole>
<nutation>
<dPsi>-0.010030</dPsi>
<sigma_dPsi>0.000963</sigma_dPsi>
<dEpsilon>-0.001454</dEpsilon>
<sigma_dEpsilon>0.000347</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>48659.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.081947</X>
<sigma_X>0.000549</sigma_X>
<Y>0.120175</Y>
<sigma_Y>0.000722</sigma_Y>
</pole>
<nutation>
<dPsi>-0.009384</dPsi>
<sigma_dPsi>0.001209</sigma_dPsi>
<dEpsilon>-0.001732</dEpsilon>
<sigma_dEpsilon>0.000587</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>48677.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.026492</X>
<sigma_X>0.000307</sigma_X>
<Y>0.115931</Y>
<sigma_Y>0.000322</sigma_Y>
</pole>
<nutation>
<dPsi>-0.009760</dPsi>
<sigma_dPsi>0.001222</sigma_dPsi>
<dEpsilon>-0.002947</dEpsilon>
<sigma_dEpsilon>0.000536</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>48695.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.036032</X>
<sigma_X>0.000314</sigma_X>
<Y>0.126968</Y>
<sigma_Y>0.000266</sigma_Y>
</pole>
<nutation>
<dPsi>-0.009648</dPsi>
<sigma_dPsi>0.000538</sigma_dPsi>
<dEpsilon>-0.004590</dEpsilon>
<sigma_dEpsilon>0.000274</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>48713.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.084376</X>
<sigma_X>0.000370</sigma_X>
<Y>0.162589</Y>
<sigma_Y>0.000392</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007754</dPsi>
<sigma_dPsi>0.000420</sigma_dPsi>
<dEpsilon>-0.004847</dEpsilon>
<sigma_dEpsilon>0.000201</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>48732.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.115210</X>
<sigma_X>0.000289</sigma_X>
<Y>0.202725</Y>
<sigma_Y>0.000327</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007499</dPsi>
<sigma_dPsi>0.000515</sigma_dPsi>
<dEpsilon>-0.006082</dEpsilon>
<sigma_dEpsilon>0.000421</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>48750.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.144408</X>
<sigma_X>0.000358</sigma_X>
<Y>0.246716</Y>
<sigma_Y>0.000456</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007585</dPsi>
<sigma_dPsi>0.000347</sigma_dPsi>
<dEpsilon>-0.006529</dEpsilon>
<sigma_dEpsilon>0.000125</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>48768.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.157188</X>
<sigma_X>0.000619</sigma_X>
<Y>0.290633</Y>
<sigma_Y>0.000742</sigma_Y>
</pole>
<nutation>
<dPsi>-0.007946</dPsi>
<sigma_dPsi>0.000417</sigma_dPsi>
<dEpsilon>-0.006393</dEpsilon>
<sigma_dEpsilon>0.000164</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>48786.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.154141</X>
<sigma_X>0.000382</sigma_X>
<Y>0.335884</Y>
<sigma_Y>0.000342</sigma_Y>
</pole>
<nutation>
<dPsi>-0.011023</dPsi>
<sigma_dPsi>0.000774</sigma_dPsi>
<dEpsilon>-0.005959</dEpsilon>
<sigma_dEpsilon>0.000299</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>48805.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.141383</X>
<sigma_X>0.000717</sigma_X>
<Y>0.383129</Y>
<sigma_Y>0.000697</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013305</dPsi>
<sigma_dPsi>0.001325</sigma_dPsi>
<dEpsilon>-0.006091</dEpsilon>
<sigma_dEpsilon>0.000541</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>48823.387</MJD>
</time>
<dataEOP>
<pole>
<X>-0.115336</X>
<sigma_X>0.000205</sigma_X>
<Y>0.420871</Y>
<sigma_Y>0.000219</sigma_Y>
</pole>
<nutation>
<dPsi>-0.016813</dPsi>
<sigma_dPsi>0.000767</sigma_dPsi>
<dEpsilon>-0.005695</dEpsilon>
<sigma_dEpsilon>0.000312</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>48841.650</MJD>
</time>
<dataEOP>
<pole>
<X>-0.078384</X>
<sigma_X>0.000175</sigma_X>
<Y>0.459809</Y>
<sigma_Y>0.000173</sigma_Y>
</pole>
<nutation>
<dPsi>-0.019447</dPsi>
<sigma_dPsi>0.000362</sigma_dPsi>
<dEpsilon>-0.005842</dEpsilon>
<sigma_dEpsilon>0.000146</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>48859.912</MJD>
</time>
<dataEOP>
<pole>
<X>-0.032705</X>
<sigma_X>0.000280</sigma_X>
<Y>0.493061</Y>
<sigma_Y>0.000309</sigma_Y>
</pole>
<nutation>
<dPsi>-0.020698</dPsi>
<sigma_dPsi>0.000578</sigma_dPsi>
<dEpsilon>-0.006134</dEpsilon>
<sigma_dEpsilon>0.000256</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>48878.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.014271</X>
<sigma_X>0.000323</sigma_X>
<Y>0.506437</Y>
<sigma_Y>0.000346</sigma_Y>
</pole>
<nutation>
<dPsi>-0.021093</dPsi>
<sigma_dPsi>0.000485</sigma_dPsi>
<dEpsilon>-0.005083</dEpsilon>
<sigma_dEpsilon>0.000194</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>48896.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.056039</X>
<sigma_X>0.000325</sigma_X>
<Y>0.504589</Y>
<sigma_Y>0.000359</sigma_Y>
</pole>
<nutation>
<dPsi>-0.021188</dPsi>
<sigma_dPsi>0.000573</sigma_dPsi>
<dEpsilon>-0.004896</dEpsilon>
<sigma_dEpsilon>0.000237</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>48914.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.102235</X>
<sigma_X>0.000257</sigma_X>
<Y>0.493989</Y>
<sigma_Y>0.000270</sigma_Y>
</pole>
<nutation>
<dPsi>-0.018759</dPsi>
<sigma_dPsi>0.000405</sigma_dPsi>
<dEpsilon>-0.004945</dEpsilon>
<sigma_dEpsilon>0.000176</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>48932.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.137406</X>
<sigma_X>0.000260</sigma_X>
<Y>0.472404</Y>
<sigma_Y>0.000262</sigma_Y>
</pole>
<nutation>
<dPsi>-0.016715</dPsi>
<sigma_dPsi>0.000503</sigma_dPsi>
<dEpsilon>-0.004096</dEpsilon>
<sigma_dEpsilon>0.000201</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>48951.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.169609</X>
<sigma_X>0.000356</sigma_X>
<Y>0.444140</Y>
<sigma_Y>0.000400</sigma_Y>
</pole>
<nutation>
<dPsi>-0.015157</dPsi>
<sigma_dPsi>0.000415</sigma_dPsi>
<dEpsilon>-0.003153</dEpsilon>
<sigma_dEpsilon>0.000263</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>48969.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.186356</X>
<sigma_X>0.000288</sigma_X>
<Y>0.407177</Y>
<sigma_Y>0.000320</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013291</dPsi>
<sigma_dPsi>0.000440</sigma_dPsi>
<dEpsilon>-0.002610</dEpsilon>
<sigma_dEpsilon>0.000211</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1992</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>48987.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.205549</X>
<sigma_X>0.000329</sigma_X>
<Y>0.360907</Y>
<sigma_Y>0.000383</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013184</dPsi>
<sigma_dPsi>0.000354</sigma_dPsi>
<dEpsilon>-0.001840</dEpsilon>
<sigma_dEpsilon>0.000157</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>49006.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.213304</X>
<sigma_X>0.000234</sigma_X>
<Y>0.311675</Y>
<sigma_Y>0.000233</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013783</dPsi>
<sigma_dPsi>0.000317</sigma_dPsi>
<dEpsilon>-0.002202</dEpsilon>
<sigma_dEpsilon>0.000165</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>49024.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.205417</X>
<sigma_X>0.000210</sigma_X>
<Y>0.266053</Y>
<sigma_Y>0.000203</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013753</dPsi>
<sigma_dPsi>0.000551</sigma_dPsi>
<dEpsilon>-0.003305</dEpsilon>
<sigma_dEpsilon>0.000394</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>49042.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.185832</X>
<sigma_X>0.000232</sigma_X>
<Y>0.224125</Y>
<sigma_Y>0.000217</sigma_Y>
</pole>
<nutation>
<dPsi>-0.013181</dPsi>
<sigma_dPsi>0.000324</sigma_dPsi>
<dEpsilon>-0.003744</dEpsilon>
<sigma_dEpsilon>0.000145</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>49060.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.157413</X>
<sigma_X>0.000198</sigma_X>
<Y>0.193738</Y>
<sigma_Y>0.000190</sigma_Y>
</pole>
<nutation>
<dPsi>-0.012837</dPsi>
<sigma_dPsi>0.000518</sigma_dPsi>
<dEpsilon>-0.005361</dEpsilon>
<sigma_dEpsilon>0.000222</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>49079.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.112963</X>
<sigma_X>0.000236</sigma_X>
<Y>0.170226</Y>
<sigma_Y>0.000222</sigma_Y>
</pole>
<nutation>
<dPsi>-0.011857</dPsi>
<sigma_dPsi>0.000359</sigma_dPsi>
<dEpsilon>-0.006624</dEpsilon>
<sigma_dEpsilon>0.000170</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>49097.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.063349</X>
<sigma_X>0.000203</sigma_X>
<Y>0.163887</Y>
<sigma_Y>0.000199</sigma_Y>
</pole>
<nutation>
<dPsi>-0.011196</dPsi>
<sigma_dPsi>0.000347</sigma_dPsi>
<dEpsilon>-0.006705</dEpsilon>
<sigma_dEpsilon>0.000200</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>49115.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.024455</X>
<sigma_X>0.000198</sigma_X>
<Y>0.166192</Y>
<sigma_Y>0.000193</sigma_Y>
</pole>
<nutation>
<dPsi>-0.011463</dPsi>
<sigma_dPsi>0.000380</sigma_dPsi>
<dEpsilon>-0.007301</dEpsilon>
<sigma_dEpsilon>0.000182</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>49133.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.005200</X>
<sigma_X>0.000221</sigma_X>
<Y>0.176678</Y>
<sigma_Y>0.000206</sigma_Y>
</pole>
<nutation>
<dPsi>-0.012590</dPsi>
<sigma_dPsi>0.000412</sigma_dPsi>
<dEpsilon>-0.007640</dEpsilon>
<sigma_dEpsilon>0.000195</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>49152.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.037408</X>
<sigma_X>0.000257</sigma_X>
<Y>0.190889</Y>
<sigma_Y>0.000253</sigma_Y>
</pole>
<nutation>
<dPsi>-0.014384</dPsi>
<sigma_dPsi>0.000488</sigma_dPsi>
<dEpsilon>-0.007256</dEpsilon>
<sigma_dEpsilon>0.000208</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>49170.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.063711</X>
<sigma_X>0.000696</sigma_X>
<Y>0.210917</Y>
<sigma_Y>0.000783</sigma_Y>
</pole>
<nutation>
<dPsi>-0.018223</dPsi>
<sigma_dPsi>0.000344</sigma_dPsi>
<dEpsilon>-0.006768</dEpsilon>
<sigma_dEpsilon>0.000159</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>49188.637</MJD>
</time>
<dataEOP>
<pole>
<X>-0.073059</X>
<sigma_X>0.000143</sigma_X>
<Y>0.233993</Y>
<sigma_Y>0.000127</sigma_Y>
</pole>
<nutation>
<dPsi>-0.020081</dPsi>
<sigma_dPsi>0.000342</sigma_dPsi>
<dEpsilon>-0.007108</dEpsilon>
<sigma_dEpsilon>0.000154</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>49206.900</MJD>
</time>
<dataEOP>
<pole>
<X>-0.091225</X>
<sigma_X>0.000193</sigma_X>
<Y>0.266662</Y>
<sigma_Y>0.000184</sigma_Y>
</pole>
<nutation>
<dPsi>-0.023282</dPsi>
<sigma_dPsi>0.000432</sigma_dPsi>
<dEpsilon>-0.006669</dEpsilon>
<sigma_dEpsilon>0.000244</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>49225.162</MJD>
</time>
<dataEOP>
<pole>
<X>-0.101352</X>
<sigma_X>0.000190</sigma_X>
<Y>0.302801</Y>
<sigma_Y>0.000182</sigma_Y>
</pole>
<nutation>
<dPsi>-0.024924</dPsi>
<sigma_dPsi>0.000380</sigma_dPsi>
<dEpsilon>-0.006848</dEpsilon>
<sigma_dEpsilon>0.000243</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>49243.425</MJD>
</time>
<dataEOP>
<pole>
<X>-0.099273</X>
<sigma_X>0.000207</sigma_X>
<Y>0.337775</Y>
<sigma_Y>0.000199</sigma_Y>
</pole>
<nutation>
<dPsi>-0.024968</dPsi>
<sigma_dPsi>0.000427</sigma_dPsi>
<dEpsilon>-0.006936</dEpsilon>
<sigma_dEpsilon>0.000184</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>49261.687</MJD>
</time>
<dataEOP>
<pole>
<X>-0.095316</X>
<sigma_X>0.000197</sigma_X>
<Y>0.370742</Y>
<sigma_Y>0.000185</sigma_Y>
</pole>
<nutation>
<dPsi>-0.024804</dPsi>
<sigma_dPsi>0.000452</sigma_dPsi>
<dEpsilon>-0.005873</dEpsilon>
<sigma_dEpsilon>0.000228</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>49279.950</MJD>
</time>
<dataEOP>
<pole>
<X>-0.081604</X>
<sigma_X>0.000194</sigma_X>
<Y>0.404119</Y>
<sigma_Y>0.000181</sigma_Y>
</pole>
<nutation>
<dPsi>-0.023502</dPsi>
<sigma_dPsi>0.000279</sigma_dPsi>
<dEpsilon>-0.005404</dEpsilon>
<sigma_dEpsilon>0.000137</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>49298.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.063134</X>
<sigma_X>0.000213</sigma_X>
<Y>0.428893</Y>
<sigma_Y>0.000200</sigma_Y>
</pole>
<nutation>
<dPsi>-0.020840</dPsi>
<sigma_dPsi>0.000812</sigma_dPsi>
<dEpsilon>-0.005376</dEpsilon>
<sigma_dEpsilon>0.000246</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>49316.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.041430</X>
<sigma_X>0.000218</sigma_X>
<Y>0.447985</Y>
<sigma_Y>0.000209</sigma_Y>
</pole>
<nutation>
<dPsi>-0.018949</dPsi>
<sigma_dPsi>0.000372</sigma_dPsi>
<dEpsilon>-0.004262</dEpsilon>
<sigma_dEpsilon>0.000195</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1993</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>49334.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.020359</X>
<sigma_X>0.000191</sigma_X>
<Y>0.465113</Y>
<sigma_Y>0.000180</sigma_Y>
</pole>
<nutation>
<dPsi>-0.017918</dPsi>
<sigma_dPsi>0.000322</sigma_dPsi>
<dEpsilon>-0.003553</dEpsilon>
<sigma_dEpsilon>0.000142</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>49353.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.010693</X>
<sigma_X>0.000309</sigma_X>
<Y>0.477455</Y>
<sigma_Y>0.000293</sigma_Y>
</pole>
<nutation>
<dPsi>-0.016763</dPsi>
<sigma_dPsi>0.000327</sigma_dPsi>
<dEpsilon>-0.003492</dEpsilon>
<sigma_dEpsilon>0.000163</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>49371.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.053713</X>
<sigma_X>0.000188</sigma_X>
<Y>0.478442</Y>
<sigma_Y>0.000173</sigma_Y>
</pole>
<nutation>
<dPsi>-0.017971</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.003072</dEpsilon>
<sigma_dEpsilon>0.000088</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>49389.525</MJD>
</time>
<dataEOP>
<pole>
<X>0.098563</X>
<sigma_X>0.000253</sigma_X>
<Y>0.466911</Y>
<sigma_Y>0.000234</sigma_Y>
</pole>
<nutation>
<dPsi>-0.018595</dPsi>
<sigma_dPsi>0.000649</sigma_dPsi>
<dEpsilon>-0.003889</dEpsilon>
<sigma_dEpsilon>0.000329</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>49407.787</MJD>
</time>
<dataEOP>
<pole>
<X>0.135129</X>
<sigma_X>0.000269</sigma_X>
<Y>0.448356</Y>
<sigma_Y>0.000257</sigma_Y>
</pole>
<nutation>
<dPsi>-0.017880</dPsi>
<sigma_dPsi>0.001682</sigma_dPsi>
<dEpsilon>-0.005255</dEpsilon>
<sigma_dEpsilon>0.000814</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>49426.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.157438</X>
<sigma_X>0.000256</sigma_X>
<Y>0.422078</Y>
<sigma_Y>0.000237</sigma_Y>
</pole>
<nutation>
<dPsi>-0.017568</dPsi>
<sigma_dPsi>0.000867</sigma_dPsi>
<dEpsilon>-0.006019</dEpsilon>
<sigma_dEpsilon>0.000358</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>49444.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.174883</X>
<sigma_X>0.000257</sigma_X>
<Y>0.390195</Y>
<sigma_Y>0.000241</sigma_Y>
</pole>
<nutation>
<dPsi>-0.016926</dPsi>
<sigma_dPsi>0.000199</sigma_dPsi>
<dEpsilon>-0.007306</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>49462.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.183506</X>
<sigma_X>0.000254</sigma_X>
<Y>0.357248</Y>
<sigma_Y>0.000240</sigma_Y>
</pole>
<nutation>
<dPsi>-0.015526</dPsi>
<sigma_dPsi>0.000231</sigma_dPsi>
<dEpsilon>-0.007747</dEpsilon>
<sigma_dEpsilon>0.000115</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>49480.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.186696</X>
<sigma_X>0.000231</sigma_X>
<Y>0.318081</Y>
<sigma_Y>0.000215</sigma_Y>
</pole>
<nutation>
<dPsi>-0.016546</dPsi>
<sigma_dPsi>0.000206</sigma_dPsi>
<dEpsilon>-0.007868</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>49499.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.180853</X>
<sigma_X>0.000237</sigma_X>
<Y>0.281073</Y>
<sigma_Y>0.000219</sigma_Y>
</pole>
<nutation>
<dPsi>-0.017638</dPsi>
<sigma_dPsi>0.000455</sigma_dPsi>
<dEpsilon>-0.007934</dEpsilon>
<sigma_dEpsilon>0.000255</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>49517.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.161006</X>
<sigma_X>0.000235</sigma_X>
<Y>0.243917</Y>
<sigma_Y>0.000221</sigma_Y>
</pole>
<nutation>
<dPsi>-0.019802</dPsi>
<sigma_dPsi>0.000219</sigma_dPsi>
<dEpsilon>-0.008244</dEpsilon>
<sigma_dEpsilon>0.000111</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>49535.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.134612</X>
<sigma_X>0.000238</sigma_X>
<Y>0.210555</Y>
<sigma_Y>0.000229</sigma_Y>
</pole>
<nutation>
<dPsi>-0.022561</dPsi>
<sigma_dPsi>0.000211</sigma_dPsi>
<dEpsilon>-0.007778</dEpsilon>
<sigma_dEpsilon>0.000107</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>49553.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.101132</X>
<sigma_X>0.000226</sigma_X>
<Y>0.185159</Y>
<sigma_Y>0.000213</sigma_Y>
</pole>
<nutation>
<dPsi>-0.026045</dPsi>
<sigma_dPsi>0.000224</sigma_dPsi>
<dEpsilon>-0.007773</dEpsilon>
<sigma_dEpsilon>0.000115</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>49572.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.067684</X>
<sigma_X>0.000224</sigma_X>
<Y>0.171872</Y>
<sigma_Y>0.000211</sigma_Y>
</pole>
<nutation>
<dPsi>-0.027553</dPsi>
<sigma_dPsi>0.000302</sigma_dPsi>
<dEpsilon>-0.007806</dEpsilon>
<sigma_dEpsilon>0.000150</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>49590.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.027715</X>
<sigma_X>0.000226</sigma_X>
<Y>0.168490</Y>
<sigma_Y>0.000207</sigma_Y>
</pole>
<nutation>
<dPsi>-0.030150</dPsi>
<sigma_dPsi>0.000191</sigma_dPsi>
<dEpsilon>-0.007590</dEpsilon>
<sigma_dEpsilon>0.000098</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>49608.675</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017097</X>
<sigma_X>0.000227</sigma_X>
<Y>0.178618</Y>
<sigma_Y>0.000210</sigma_Y>
</pole>
<nutation>
<dPsi>-0.030284</dPsi>
<sigma_dPsi>0.000463</sigma_dPsi>
<dEpsilon>-0.007494</dEpsilon>
<sigma_dEpsilon>0.000227</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>49626.937</MJD>
</time>
<dataEOP>
<pole>
<X>-0.066594</X>
<sigma_X>0.000226</sigma_X>
<Y>0.199824</Y>
<sigma_Y>0.000213</sigma_Y>
</pole>
<nutation>
<dPsi>-0.029299</dPsi>
<sigma_dPsi>0.000249</sigma_dPsi>
<dEpsilon>-0.007371</dEpsilon>
<sigma_dEpsilon>0.000129</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>49645.200</MJD>
</time>
<dataEOP>
<pole>
<X>-0.107822</X>
<sigma_X>0.000217</sigma_X>
<Y>0.232410</Y>
<sigma_Y>0.000205</sigma_Y>
</pole>
<nutation>
<dPsi>-0.028535</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.006324</dEpsilon>
<sigma_dEpsilon>0.000092</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>49663.462</MJD>
</time>
<dataEOP>
<pole>
<X>-0.141376</X>
<sigma_X>0.000243</sigma_X>
<Y>0.272240</Y>
<sigma_Y>0.000224</sigma_Y>
</pole>
<nutation>
<dPsi>-0.026345</dPsi>
<sigma_dPsi>0.000649</sigma_dPsi>
<dEpsilon>-0.005687</dEpsilon>
<sigma_dEpsilon>0.000327</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>49681.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.152222</X>
<sigma_X>0.000241</sigma_X>
<Y>0.320886</Y>
<sigma_Y>0.000227</sigma_Y>
</pole>
<nutation>
<dPsi>-0.024152</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.005248</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1994</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>49699.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.154179</X>
<sigma_X>0.000232</sigma_X>
<Y>0.367656</Y>
<sigma_Y>0.000223</sigma_Y>
</pole>
<nutation>
<dPsi>-0.023365</dPsi>
<sigma_dPsi>0.000221</sigma_dPsi>
<dEpsilon>-0.004516</dEpsilon>
<sigma_dEpsilon>0.000114</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>49718.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.152856</X>
<sigma_X>0.000260</sigma_X>
<Y>0.417007</Y>
<sigma_Y>0.000245</sigma_Y>
</pole>
<nutation>
<dPsi>-0.023022</dPsi>
<sigma_dPsi>0.000216</sigma_dPsi>
<dEpsilon>-0.004358</dEpsilon>
<sigma_dEpsilon>0.000137</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>49736.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.125895</X>
<sigma_X>0.000289</sigma_X>
<Y>0.460613</Y>
<sigma_Y>0.000250</sigma_Y>
</pole>
<nutation>
<dPsi>-0.022129</dPsi>
<sigma_dPsi>0.000319</sigma_dPsi>
<dEpsilon>-0.004621</dEpsilon>
<sigma_dEpsilon>0.000243</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>49754.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.108759</X>
<sigma_X>0.000265</sigma_X>
<Y>0.495358</Y>
<sigma_Y>0.000233</sigma_Y>
</pole>
<nutation>
<dPsi>-0.023820</dPsi>
<sigma_dPsi>0.000445</sigma_dPsi>
<dEpsilon>-0.004878</dEpsilon>
<sigma_dEpsilon>0.000319</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>49773.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.072638</X>
<sigma_X>0.000263</sigma_X>
<Y>0.525124</Y>
<sigma_Y>0.000225</sigma_Y>
</pole>
<nutation>
<dPsi>-0.023605</dPsi>
<sigma_dPsi>0.000452</sigma_dPsi>
<dEpsilon>-0.005982</dEpsilon>
<sigma_dEpsilon>0.000344</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>49791.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.021970</X>
<sigma_X>0.000268</sigma_X>
<Y>0.546548</Y>
<sigma_Y>0.000231</sigma_Y>
</pole>
<nutation>
<dPsi>-0.022429</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.007167</dEpsilon>
<sigma_dEpsilon>0.000151</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>49809.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.034110</X>
<sigma_X>0.000268</sigma_X>
<Y>0.557468</Y>
<sigma_Y>0.000231</sigma_Y>
</pole>
<nutation>
<dPsi>-0.022058</dPsi>
<sigma_dPsi>0.000299</sigma_dPsi>
<dEpsilon>-0.008134</dEpsilon>
<sigma_dEpsilon>0.000235</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>49827.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.093205</X>
<sigma_X>0.000231</sigma_X>
<Y>0.555113</Y>
<sigma_Y>0.000193</sigma_Y>
</pole>
<nutation>
<dPsi>-0.021628</dPsi>
<sigma_dPsi>0.000239</sigma_dPsi>
<dEpsilon>-0.008904</dEpsilon>
<sigma_dEpsilon>0.000187</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>49846.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.162211</X>
<sigma_X>0.000223</sigma_X>
<Y>0.533471</Y>
<sigma_Y>0.000189</sigma_Y>
</pole>
<nutation>
<dPsi>-0.020842</dPsi>
<sigma_dPsi>0.000236</sigma_dPsi>
<dEpsilon>-0.008904</dEpsilon>
<sigma_dEpsilon>0.000184</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>49864.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.209605</X>
<sigma_X>0.000280</sigma_X>
<Y>0.497069</Y>
<sigma_Y>0.000243</sigma_Y>
</pole>
<nutation>
<dPsi>-0.022954</dPsi>
<sigma_dPsi>0.000279</sigma_dPsi>
<dEpsilon>-0.008832</dEpsilon>
<sigma_dEpsilon>0.000215</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>49882.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.254925</X>
<sigma_X>0.000246</sigma_X>
<Y>0.443363</Y>
<sigma_Y>0.000213</sigma_Y>
</pole>
<nutation>
<dPsi>-0.024919</dPsi>
<sigma_dPsi>0.000460</sigma_dPsi>
<dEpsilon>-0.008717</dEpsilon>
<sigma_dEpsilon>0.000461</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>49900.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.281626</X>
<sigma_X>0.000185</sigma_X>
<Y>0.378525</Y>
<sigma_Y>0.000156</sigma_Y>
</pole>
<nutation>
<dPsi>-0.027905</dPsi>
<sigma_dPsi>0.000307</sigma_dPsi>
<dEpsilon>-0.008780</dEpsilon>
<sigma_dEpsilon>0.000259</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>49919.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.287433</X>
<sigma_X>0.000239</sigma_X>
<Y>0.308091</Y>
<sigma_Y>0.000208</sigma_Y>
</pole>
<nutation>
<dPsi>-0.031237</dPsi>
<sigma_dPsi>0.000231</sigma_dPsi>
<dEpsilon>-0.008582</dEpsilon>
<sigma_dEpsilon>0.000177</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>49937.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.273242</X>
<sigma_X>0.000232</sigma_X>
<Y>0.237939</Y>
<sigma_Y>0.000201</sigma_Y>
</pole>
<nutation>
<dPsi>-0.033936</dPsi>
<sigma_dPsi>0.000241</sigma_dPsi>
<dEpsilon>-0.008933</dEpsilon>
<sigma_dEpsilon>0.000180</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>49955.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.238219</X>
<sigma_X>0.000228</sigma_X>
<Y>0.179821</Y>
<sigma_Y>0.000194</sigma_Y>
</pole>
<nutation>
<dPsi>-0.035090</dPsi>
<sigma_dPsi>0.000229</sigma_dPsi>
<dEpsilon>-0.008562</dEpsilon>
<sigma_dEpsilon>0.000177</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>49973.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.190545</X>
<sigma_X>0.000231</sigma_X>
<Y>0.134798</Y>
<sigma_Y>0.000201</sigma_Y>
</pole>
<nutation>
<dPsi>-0.036497</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.008307</dEpsilon>
<sigma_dEpsilon>0.000189</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>49992.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.134044</X>
<sigma_X>0.000229</sigma_X>
<Y>0.105680</Y>
<sigma_Y>0.000197</sigma_Y>
</pole>
<nutation>
<dPsi>-0.035371</dPsi>
<sigma_dPsi>0.000216</sigma_dPsi>
<dEpsilon>-0.008006</dEpsilon>
<sigma_dEpsilon>0.000168</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>50010.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.067339</X>
<sigma_X>0.000182</sigma_X>
<Y>0.086459</Y>
<sigma_Y>0.000154</sigma_Y>
</pole>
<nutation>
<dPsi>-0.033490</dPsi>
<sigma_dPsi>0.000224</sigma_dPsi>
<dEpsilon>-0.007742</dEpsilon>
<sigma_dEpsilon>0.000173</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>50028.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.002879</X>
<sigma_X>0.000218</sigma_X>
<Y>0.084233</Y>
<sigma_Y>0.000187</sigma_Y>
</pole>
<nutation>
<dPsi>-0.032663</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.006448</dEpsilon>
<sigma_dEpsilon>0.000140</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>50046.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.067593</X>
<sigma_X>0.000220</sigma_X>
<Y>0.101398</Y>
<sigma_Y>0.000193</sigma_Y>
</pole>
<nutation>
<dPsi>-0.030601</dPsi>
<sigma_dPsi>0.000229</sigma_dPsi>
<dEpsilon>-0.005926</dEpsilon>
<sigma_dEpsilon>0.000179</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1995</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>50065.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.137267</X>
<sigma_X>0.000226</sigma_X>
<Y>0.136813</Y>
<sigma_Y>0.000197</sigma_Y>
</pole>
<nutation>
<dPsi>-0.029202</dPsi>
<sigma_dPsi>0.000236</sigma_dPsi>
<dEpsilon>-0.005260</dEpsilon>
<sigma_dEpsilon>0.000186</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>50083.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.174988</X>
<sigma_X>0.000214</sigma_X>
<Y>0.192232</Y>
<sigma_Y>0.000185</sigma_Y>
</pole>
<nutation>
<dPsi>-0.029436</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.005075</dEpsilon>
<sigma_dEpsilon>0.000120</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>50101.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.204251</X>
<sigma_X>0.000222</sigma_X>
<Y>0.247073</Y>
<sigma_Y>0.000191</sigma_Y>
</pole>
<nutation>
<dPsi>-0.029928</dPsi>
<sigma_dPsi>0.000463</sigma_dPsi>
<dEpsilon>-0.005259</dEpsilon>
<sigma_dEpsilon>0.000192</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>50120.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.222960</X>
<sigma_X>0.000211</sigma_X>
<Y>0.311868</Y>
<sigma_Y>0.000180</sigma_Y>
</pole>
<nutation>
<dPsi>-0.028794</dPsi>
<sigma_dPsi>0.000583</sigma_dPsi>
<dEpsilon>-0.005801</dEpsilon>
<sigma_dEpsilon>0.000247</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>50138.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.219848</X>
<sigma_X>0.000215</sigma_X>
<Y>0.378677</Y>
<sigma_Y>0.000180</sigma_Y>
</pole>
<nutation>
<dPsi>-0.030027</dPsi>
<sigma_dPsi>0.000327</sigma_dPsi>
<dEpsilon>-0.006467</dEpsilon>
<sigma_dEpsilon>0.000145</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>50156.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.195740</X>
<sigma_X>0.000209</sigma_X>
<Y>0.449042</Y>
<sigma_Y>0.000179</sigma_Y>
</pole>
<nutation>
<dPsi>-0.029129</dPsi>
<sigma_dPsi>0.000246</sigma_dPsi>
<dEpsilon>-0.007757</dEpsilon>
<sigma_dEpsilon>0.000112</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>50174.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.152551</X>
<sigma_X>0.000206</sigma_X>
<Y>0.507863</Y>
<sigma_Y>0.000174</sigma_Y>
</pole>
<nutation>
<dPsi>-0.027967</dPsi>
<sigma_dPsi>0.000256</sigma_dPsi>
<dEpsilon>-0.008632</dEpsilon>
<sigma_dEpsilon>0.000117</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>50193.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.102393</X>
<sigma_X>0.000203</sigma_X>
<Y>0.552126</Y>
<sigma_Y>0.000172</sigma_Y>
</pole>
<nutation>
<dPsi>-0.027797</dPsi>
<sigma_dPsi>0.000314</sigma_dPsi>
<dEpsilon>-0.009199</dEpsilon>
<sigma_dEpsilon>0.000148</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>50211.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.033656</X>
<sigma_X>0.000193</sigma_X>
<Y>0.584520</Y>
<sigma_Y>0.000166</sigma_Y>
</pole>
<nutation>
<dPsi>-0.028272</dPsi>
<sigma_dPsi>0.000264</sigma_dPsi>
<dEpsilon>-0.009544</dEpsilon>
<sigma_dEpsilon>0.000124</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>50229.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.040316</X>
<sigma_X>0.000198</sigma_X>
<Y>0.596501</Y>
<sigma_Y>0.000173</sigma_Y>
</pole>
<nutation>
<dPsi>-0.028416</dPsi>
<sigma_dPsi>0.000656</sigma_dPsi>
<dEpsilon>-0.009503</dEpsilon>
<sigma_dEpsilon>0.000345</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>50247.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.116003</X>
<sigma_X>0.000193</sigma_X>
<Y>0.581758</Y>
<sigma_Y>0.000166</sigma_Y>
</pole>
<nutation>
<dPsi>-0.031563</dPsi>
<sigma_dPsi>0.000317</sigma_dPsi>
<dEpsilon>-0.008984</dEpsilon>
<sigma_dEpsilon>0.000190</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>50266.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.182140</X>
<sigma_X>0.000194</sigma_X>
<Y>0.545778</Y>
<sigma_Y>0.000167</sigma_Y>
</pole>
<nutation>
<dPsi>-0.034223</dPsi>
<sigma_dPsi>0.000279</sigma_dPsi>
<dEpsilon>-0.008958</dEpsilon>
<sigma_dEpsilon>0.000121</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>50284.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.237850</X>
<sigma_X>0.000197</sigma_X>
<Y>0.495865</Y>
<sigma_Y>0.000172</sigma_Y>
</pole>
<nutation>
<dPsi>-0.036891</dPsi>
<sigma_dPsi>0.000191</sigma_dPsi>
<dEpsilon>-0.008935</dEpsilon>
<sigma_dEpsilon>0.000089</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>50302.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.268592</X>
<sigma_X>0.000201</sigma_X>
<Y>0.437783</Y>
<sigma_Y>0.000171</sigma_Y>
</pole>
<nutation>
<dPsi>-0.039901</dPsi>
<sigma_dPsi>0.001440</sigma_dPsi>
<dEpsilon>-0.008893</dEpsilon>
<sigma_dEpsilon>0.000600</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>50320.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.296523</X>
<sigma_X>0.000193</sigma_X>
<Y>0.370704</Y>
<sigma_Y>0.000167</sigma_Y>
</pole>
<nutation>
<dPsi>-0.041413</dPsi>
<sigma_dPsi>0.000143</sigma_dPsi>
<dEpsilon>-0.009107</dEpsilon>
<sigma_dEpsilon>0.000071</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>50339.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.290095</X>
<sigma_X>0.000191</sigma_X>
<Y>0.296362</Y>
<sigma_Y>0.000163</sigma_Y>
</pole>
<nutation>
<dPsi>-0.041534</dPsi>
<sigma_dPsi>0.000274</sigma_dPsi>
<dEpsilon>-0.008464</dEpsilon>
<sigma_dEpsilon>0.000126</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>50357.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.267424</X>
<sigma_X>0.000184</sigma_X>
<Y>0.227822</Y>
<sigma_Y>0.000156</sigma_Y>
</pole>
<nutation>
<dPsi>-0.041825</dPsi>
<sigma_dPsi>0.000319</sigma_dPsi>
<dEpsilon>-0.007709</dEpsilon>
<sigma_dEpsilon>0.000142</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>50375.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.227232</X>
<sigma_X>0.000178</sigma_X>
<Y>0.171422</Y>
<sigma_Y>0.000152</sigma_Y>
</pole>
<nutation>
<dPsi>-0.040007</dPsi>
<sigma_dPsi>0.000294</sigma_dPsi>
<dEpsilon>-0.007585</dEpsilon>
<sigma_dEpsilon>0.000131</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>50393.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.175226</X>
<sigma_X>0.000179</sigma_X>
<Y>0.122536</Y>
<sigma_Y>0.000153</sigma_Y>
</pole>
<nutation>
<dPsi>-0.037298</dPsi>
<sigma_dPsi>0.000209</sigma_dPsi>
<dEpsilon>-0.007087</dEpsilon>
<sigma_dEpsilon>0.000098</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>50412.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.108558</X>
<sigma_X>0.000182</sigma_X>
<Y>0.096560</Y>
<sigma_Y>0.000156</sigma_Y>
</pole>
<nutation>
<dPsi>-0.036939</dPsi>
<sigma_dPsi>0.000226</sigma_dPsi>
<dEpsilon>-0.005866</dEpsilon>
<sigma_dEpsilon>0.000108</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>50430.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.041025</X>
<sigma_X>0.000183</sigma_X>
<Y>0.086586</Y>
<sigma_Y>0.000155</sigma_Y>
</pole>
<nutation>
<dPsi>-0.035378</dPsi>
<sigma_dPsi>0.000334</sigma_dPsi>
<dEpsilon>-0.005481</dEpsilon>
<sigma_dEpsilon>0.000184</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1996</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>50448.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.019696</X>
<sigma_X>0.000163</sigma_X>
<Y>0.095343</Y>
<sigma_Y>0.000152</sigma_Y>
</pole>
<nutation>
<dPsi>-0.034534</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.005033</dEpsilon>
<sigma_dEpsilon>0.000111</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>50467.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.074503</X>
<sigma_X>0.000142</sigma_X>
<Y>0.119518</Y>
<sigma_Y>0.000147</sigma_Y>
</pole>
<nutation>
<dPsi>-0.035328</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.005104</dEpsilon>
<sigma_dEpsilon>0.000068</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>50485.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.123054</X>
<sigma_X>0.000134</sigma_X>
<Y>0.156818</Y>
<sigma_Y>0.000138</sigma_Y>
</pole>
<nutation>
<dPsi>-0.036124</dPsi>
<sigma_dPsi>0.000505</sigma_dPsi>
<dEpsilon>-0.005527</dEpsilon>
<sigma_dEpsilon>0.000264</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>50503.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.162283</X>
<sigma_X>0.000141</sigma_X>
<Y>0.205039</Y>
<sigma_Y>0.000146</sigma_Y>
</pole>
<nutation>
<dPsi>-0.034797</dPsi>
<sigma_dPsi>0.000292</sigma_dPsi>
<dEpsilon>-0.006435</dEpsilon>
<sigma_dEpsilon>0.000134</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>50521.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.186549</X>
<sigma_X>0.000150</sigma_X>
<Y>0.264065</Y>
<sigma_Y>0.000153</sigma_Y>
</pole>
<nutation>
<dPsi>-0.035338</dPsi>
<sigma_dPsi>0.000752</sigma_dPsi>
<dEpsilon>-0.007247</dEpsilon>
<sigma_dEpsilon>0.000265</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>50540.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.189115</X>
<sigma_X>0.000152</sigma_X>
<Y>0.331998</Y>
<sigma_Y>0.000157</sigma_Y>
</pole>
<nutation>
<dPsi>-0.034003</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.008366</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>50558.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.175318</X>
<sigma_X>0.000143</sigma_X>
<Y>0.396982</Y>
<sigma_Y>0.000148</sigma_Y>
</pole>
<nutation>
<dPsi>-0.033525</dPsi>
<sigma_dPsi>0.000392</sigma_dPsi>
<dEpsilon>-0.008817</dEpsilon>
<sigma_dEpsilon>0.000139</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>50576.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.145326</X>
<sigma_X>0.000136</sigma_X>
<Y>0.452558</Y>
<sigma_Y>0.000141</sigma_Y>
</pole>
<nutation>
<dPsi>-0.034468</dPsi>
<sigma_dPsi>0.000415</sigma_dPsi>
<dEpsilon>-0.009043</dEpsilon>
<sigma_dEpsilon>0.000149</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>50594.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.098302</X>
<sigma_X>0.000140</sigma_X>
<Y>0.498427</Y>
<sigma_Y>0.000144</sigma_Y>
</pole>
<nutation>
<dPsi>-0.035773</dPsi>
<sigma_dPsi>0.000256</sigma_dPsi>
<dEpsilon>-0.009072</dEpsilon>
<sigma_dEpsilon>0.000108</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>50613.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.048720</X>
<sigma_X>0.000140</sigma_X>
<Y>0.525435</Y>
<sigma_Y>0.000147</sigma_Y>
</pole>
<nutation>
<dPsi>-0.037219</dPsi>
<sigma_dPsi>0.000266</sigma_dPsi>
<dEpsilon>-0.009116</dEpsilon>
<sigma_dEpsilon>0.000105</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>50631.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.022786</X>
<sigma_X>0.000138</sigma_X>
<Y>0.536332</Y>
<sigma_Y>0.000144</sigma_Y>
</pole>
<nutation>
<dPsi>-0.041089</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.008553</dEpsilon>
<sigma_dEpsilon>0.000077</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>50649.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.089413</X>
<sigma_X>0.000145</sigma_X>
<Y>0.526637</Y>
<sigma_Y>0.000148</sigma_Y>
</pole>
<nutation>
<dPsi>-0.043666</dPsi>
<sigma_dPsi>0.000608</sigma_dPsi>
<dEpsilon>-0.008542</dEpsilon>
<sigma_dEpsilon>0.000203</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>50667.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.140503</X>
<sigma_X>0.000146</sigma_X>
<Y>0.504319</Y>
<sigma_Y>0.000151</sigma_Y>
</pole>
<nutation>
<dPsi>-0.045658</dPsi>
<sigma_dPsi>0.000211</sigma_dPsi>
<dEpsilon>-0.008484</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>50686.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.180782</X>
<sigma_X>0.000147</sigma_X>
<Y>0.468128</Y>
<sigma_Y>0.000152</sigma_Y>
</pole>
<nutation>
<dPsi>-0.047947</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.008432</dEpsilon>
<sigma_dEpsilon>0.000098</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>50704.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.215915</X>
<sigma_X>0.000148</sigma_X>
<Y>0.429600</Y>
<sigma_Y>0.000151</sigma_Y>
</pole>
<nutation>
<dPsi>-0.047898</dPsi>
<sigma_dPsi>0.000236</sigma_dPsi>
<dEpsilon>-0.008254</dEpsilon>
<sigma_dEpsilon>0.000092</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>50722.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.221370</X>
<sigma_X>0.000144</sigma_X>
<Y>0.379140</Y>
<sigma_Y>0.000145</sigma_Y>
</pole>
<nutation>
<dPsi>-0.047048</dPsi>
<sigma_dPsi>0.000234</sigma_dPsi>
<dEpsilon>-0.007458</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>50740.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.226438</X>
<sigma_X>0.000140</sigma_X>
<Y>0.329555</Y>
<sigma_Y>0.000144</sigma_Y>
</pole>
<nutation>
<dPsi>-0.046514</dPsi>
<sigma_dPsi>0.000244</sigma_dPsi>
<dEpsilon>-0.006572</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>50759.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.214937</X>
<sigma_X>0.000142</sigma_X>
<Y>0.278760</Y>
<sigma_Y>0.000146</sigma_Y>
</pole>
<nutation>
<dPsi>-0.044428</dPsi>
<sigma_dPsi>0.000209</sigma_dPsi>
<dEpsilon>-0.006413</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>50777.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.189537</X>
<sigma_X>0.000148</sigma_X>
<Y>0.235610</Y>
<sigma_Y>0.000151</sigma_Y>
</pole>
<nutation>
<dPsi>-0.042279</dPsi>
<sigma_dPsi>0.000254</sigma_dPsi>
<dEpsilon>-0.005441</dEpsilon>
<sigma_dEpsilon>0.000104</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1997</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>50795.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.150176</X>
<sigma_X>0.000138</sigma_X>
<Y>0.201123</Y>
<sigma_Y>0.000142</sigma_Y>
</pole>
<nutation>
<dPsi>-0.042715</dPsi>
<sigma_dPsi>0.000224</sigma_dPsi>
<dEpsilon>-0.004873</dEpsilon>
<sigma_dEpsilon>0.000089</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>50814.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.104134</X>
<sigma_X>0.000125</sigma_X>
<Y>0.175432</Y>
<sigma_Y>0.000122</sigma_Y>
</pole>
<nutation>
<dPsi>-0.041343</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.004555</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>50832.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.051641</X>
<sigma_X>0.000094</sigma_X>
<Y>0.167305</Y>
<sigma_Y>0.000085</sigma_Y>
</pole>
<nutation>
<dPsi>-0.041317</dPsi>
<sigma_dPsi>0.000282</sigma_dPsi>
<dEpsilon>-0.004696</dEpsilon>
<sigma_dEpsilon>0.000101</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>50850.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.004200</X>
<sigma_X>0.000104</sigma_X>
<Y>0.172602</Y>
<sigma_Y>0.000098</sigma_Y>
</pole>
<nutation>
<dPsi>-0.041658</dPsi>
<sigma_dPsi>0.000307</sigma_dPsi>
<dEpsilon>-0.005071</dEpsilon>
<sigma_dEpsilon>0.000110</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>50868.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.049785</X>
<sigma_X>0.000100</sigma_X>
<Y>0.187665</Y>
<sigma_Y>0.000094</sigma_Y>
</pole>
<nutation>
<dPsi>-0.041305</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.005837</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>50887.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.080846</X>
<sigma_X>0.000099</sigma_X>
<Y>0.219250</Y>
<sigma_Y>0.000090</sigma_Y>
</pole>
<nutation>
<dPsi>-0.040038</dPsi>
<sigma_dPsi>0.000254</sigma_dPsi>
<dEpsilon>-0.006752</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>50905.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.110160</X>
<sigma_X>0.000102</sigma_X>
<Y>0.253846</Y>
<sigma_Y>0.000093</sigma_Y>
</pole>
<nutation>
<dPsi>-0.040194</dPsi>
<sigma_dPsi>0.000674</sigma_dPsi>
<dEpsilon>-0.007782</dEpsilon>
<sigma_dEpsilon>0.000244</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>50923.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.113969</X>
<sigma_X>0.000091</sigma_X>
<Y>0.301666</Y>
<sigma_Y>0.000084</sigma_Y>
</pole>
<nutation>
<dPsi>-0.038802</dPsi>
<sigma_dPsi>0.000239</sigma_dPsi>
<dEpsilon>-0.008314</dEpsilon>
<sigma_dEpsilon>0.000082</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>50941.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.113583</X>
<sigma_X>0.000092</sigma_X>
<Y>0.343866</Y>
<sigma_Y>0.000085</sigma_Y>
</pole>
<nutation>
<dPsi>-0.039202</dPsi>
<sigma_dPsi>0.000304</sigma_dPsi>
<dEpsilon>-0.008323</dEpsilon>
<sigma_dEpsilon>0.000109</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>50960.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.107706</X>
<sigma_X>0.000083</sigma_X>
<Y>0.382729</Y>
<sigma_Y>0.000077</sigma_Y>
</pole>
<nutation>
<dPsi>-0.041353</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.008567</dEpsilon>
<sigma_dEpsilon>0.000092</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>50978.362</MJD>
</time>
<dataEOP>
<pole>
<X>-0.098759</X>
<sigma_X>0.000084</sigma_X>
<Y>0.414617</Y>
<sigma_Y>0.000078</sigma_Y>
</pole>
<nutation>
<dPsi>-0.042659</dPsi>
<sigma_dPsi>0.000261</sigma_dPsi>
<dEpsilon>-0.008279</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>50996.625</MJD>
</time>
<dataEOP>
<pole>
<X>-0.065291</X>
<sigma_X>0.000088</sigma_X>
<Y>0.441048</Y>
<sigma_Y>0.000081</sigma_Y>
</pole>
<nutation>
<dPsi>-0.045439</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.008258</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>51014.887</MJD>
</time>
<dataEOP>
<pole>
<X>-0.021328</X>
<sigma_X>0.000087</sigma_X>
<Y>0.465678</Y>
<sigma_Y>0.000080</sigma_Y>
</pole>
<nutation>
<dPsi>-0.049267</dPsi>
<sigma_dPsi>0.000302</sigma_dPsi>
<dEpsilon>-0.008049</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>51033.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.017974</X>
<sigma_X>0.000091</sigma_X>
<Y>0.478427</Y>
<sigma_Y>0.000085</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051168</dPsi>
<sigma_dPsi>0.000274</sigma_dPsi>
<dEpsilon>-0.008013</dEpsilon>
<sigma_dEpsilon>0.000094</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>51051.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.058403</X>
<sigma_X>0.000094</sigma_X>
<Y>0.476671</Y>
<sigma_Y>0.000086</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052469</dPsi>
<sigma_dPsi>0.000282</sigma_dPsi>
<dEpsilon>-0.007753</dEpsilon>
<sigma_dEpsilon>0.000097</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>51069.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.097792</X>
<sigma_X>0.000101</sigma_X>
<Y>0.466289</Y>
<sigma_Y>0.000091</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053738</dPsi>
<sigma_dPsi>0.000241</sigma_dPsi>
<dEpsilon>-0.007750</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>51087.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.126877</X>
<sigma_X>0.000093</sigma_X>
<Y>0.444774</Y>
<sigma_Y>0.000086</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052101</dPsi>
<sigma_dPsi>0.000264</sigma_dPsi>
<dEpsilon>-0.007378</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>51106.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.148954</X>
<sigma_X>0.000094</sigma_X>
<Y>0.418038</Y>
<sigma_Y>0.000086</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050632</dPsi>
<sigma_dPsi>0.000287</sigma_dPsi>
<dEpsilon>-0.006243</dEpsilon>
<sigma_dEpsilon>0.000101</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>51124.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.163869</X>
<sigma_X>0.000097</sigma_X>
<Y>0.387662</Y>
<sigma_Y>0.000089</sigma_Y>
</pole>
<nutation>
<dPsi>-0.049385</dPsi>
<sigma_dPsi>0.000299</sigma_dPsi>
<dEpsilon>-0.005443</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>51142.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.156105</X>
<sigma_X>0.000088</sigma_X>
<Y>0.350551</Y>
<sigma_Y>0.000081</sigma_Y>
</pole>
<nutation>
<dPsi>-0.047865</dPsi>
<sigma_dPsi>0.000244</sigma_dPsi>
<dEpsilon>-0.005007</dEpsilon>
<sigma_dEpsilon>0.000087</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1998</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>51160.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.139171</X>
<sigma_X>0.000092</sigma_X>
<Y>0.321888</Y>
<sigma_Y>0.000084</sigma_Y>
</pole>
<nutation>
<dPsi>-0.046922</dPsi>
<sigma_dPsi>0.000246</sigma_dPsi>
<dEpsilon>-0.003818</dEpsilon>
<sigma_dEpsilon>0.000088</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>51179.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.140300</X>
<sigma_X>0.000093</sigma_X>
<Y>0.296132</Y>
<sigma_Y>0.000077</sigma_Y>
</pole>
<nutation>
<dPsi>-0.048031</dPsi>
<sigma_dPsi>0.000271</sigma_dPsi>
<dEpsilon>-0.003954</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>51197.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.120283</X>
<sigma_X>0.000101</sigma_X>
<Y>0.272324</Y>
<sigma_Y>0.000083</sigma_Y>
</pole>
<nutation>
<dPsi>-0.046237</dPsi>
<sigma_dPsi>0.000307</sigma_dPsi>
<dEpsilon>-0.003943</dEpsilon>
<sigma_dEpsilon>0.000120</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>51215.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.099630</X>
<sigma_X>0.000111</sigma_X>
<Y>0.253163</Y>
<sigma_Y>0.000093</sigma_Y>
</pole>
<nutation>
<dPsi>-0.046684</dPsi>
<sigma_dPsi>0.000282</sigma_dPsi>
<dEpsilon>-0.004525</dEpsilon>
<sigma_dEpsilon>0.000109</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>51234.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.075430</X>
<sigma_X>0.000108</sigma_X>
<Y>0.244297</Y>
<sigma_Y>0.000086</sigma_Y>
</pole>
<nutation>
<dPsi>-0.046677</dPsi>
<sigma_dPsi>0.000266</sigma_dPsi>
<dEpsilon>-0.005253</dEpsilon>
<sigma_dEpsilon>0.000098</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>51252.300</MJD>
</time>
<dataEOP>
<pole>
<X>0.055285</X>
<sigma_X>0.000103</sigma_X>
<Y>0.240642</Y>
<sigma_Y>0.000085</sigma_Y>
</pole>
<nutation>
<dPsi>-0.045119</dPsi>
<sigma_dPsi>0.000274</sigma_dPsi>
<dEpsilon>-0.006332</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>51270.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.024492</X>
<sigma_X>0.000090</sigma_X>
<Y>0.240371</Y>
<sigma_Y>0.000074</sigma_Y>
</pole>
<nutation>
<dPsi>-0.044357</dPsi>
<sigma_dPsi>0.000279</sigma_dPsi>
<dEpsilon>-0.006827</dEpsilon>
<sigma_dEpsilon>0.000107</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>51288.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.000941</X>
<sigma_X>0.000090</sigma_X>
<Y>0.248445</Y>
<sigma_Y>0.000072</sigma_Y>
</pole>
<nutation>
<dPsi>-0.044854</dPsi>
<sigma_dPsi>0.000294</sigma_dPsi>
<dEpsilon>-0.007889</dEpsilon>
<sigma_dEpsilon>0.000115</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>51307.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.016862</X>
<sigma_X>0.000087</sigma_X>
<Y>0.263407</Y>
<sigma_Y>0.000071</sigma_Y>
</pole>
<nutation>
<dPsi>-0.043749</dPsi>
<sigma_dPsi>0.000324</sigma_dPsi>
<dEpsilon>-0.007908</dEpsilon>
<sigma_dEpsilon>0.000123</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>51325.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.022700</X>
<sigma_X>0.000085</sigma_X>
<Y>0.281694</Y>
<sigma_Y>0.000069</sigma_Y>
</pole>
<nutation>
<dPsi>-0.045011</dPsi>
<sigma_dPsi>0.000415</sigma_dPsi>
<dEpsilon>-0.007536</dEpsilon>
<sigma_dEpsilon>0.000154</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>51343.612</MJD>
</time>
<dataEOP>
<pole>
<X>-0.031894</X>
<sigma_X>0.000086</sigma_X>
<Y>0.296877</Y>
<sigma_Y>0.000070</sigma_Y>
</pole>
<nutation>
<dPsi>-0.048444</dPsi>
<sigma_dPsi>0.000261</sigma_dPsi>
<dEpsilon>-0.007631</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>51361.875</MJD>
</time>
<dataEOP>
<pole>
<X>-0.030817</X>
<sigma_X>0.000086</sigma_X>
<Y>0.312254</Y>
<sigma_Y>0.000070</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050087</dPsi>
<sigma_dPsi>0.000264</sigma_dPsi>
<dEpsilon>-0.007321</dEpsilon>
<sigma_dEpsilon>0.000101</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>51380.137</MJD>
</time>
<dataEOP>
<pole>
<X>-0.024686</X>
<sigma_X>0.000087</sigma_X>
<Y>0.330463</Y>
<sigma_Y>0.000073</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053413</dPsi>
<sigma_dPsi>0.000294</sigma_dPsi>
<dEpsilon>-0.007226</dEpsilon>
<sigma_dEpsilon>0.000112</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>51398.400</MJD>
</time>
<dataEOP>
<pole>
<X>-0.015518</X>
<sigma_X>0.000085</sigma_X>
<Y>0.344674</Y>
<sigma_Y>0.000070</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056673</dPsi>
<sigma_dPsi>0.000307</sigma_dPsi>
<dEpsilon>-0.007468</dEpsilon>
<sigma_dEpsilon>0.000114</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>51416.662</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008262</X>
<sigma_X>0.000094</sigma_X>
<Y>0.361050</Y>
<sigma_Y>0.000074</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057300</dPsi>
<sigma_dPsi>0.000264</sigma_dPsi>
<dEpsilon>-0.007380</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>51434.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.001639</X>
<sigma_X>0.000090</sigma_X>
<Y>0.371199</Y>
<sigma_Y>0.000073</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057506</dPsi>
<sigma_dPsi>0.000282</sigma_dPsi>
<dEpsilon>-0.006673</dEpsilon>
<sigma_dEpsilon>0.000105</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>51453.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.007309</X>
<sigma_X>0.000090</sigma_X>
<Y>0.379818</Y>
<sigma_Y>0.000073</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057293</dPsi>
<sigma_dPsi>0.000282</sigma_dPsi>
<dEpsilon>-0.006422</dEpsilon>
<sigma_dEpsilon>0.000111</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>51471.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.016064</X>
<sigma_X>0.000088</sigma_X>
<Y>0.383455</Y>
<sigma_Y>0.000070</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054580</dPsi>
<sigma_dPsi>0.000264</sigma_dPsi>
<dEpsilon>-0.005875</dEpsilon>
<sigma_dEpsilon>0.000102</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>51489.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.024801</X>
<sigma_X>0.000096</sigma_X>
<Y>0.379672</Y>
<sigma_Y>0.000078</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053415</dPsi>
<sigma_dPsi>0.000460</sigma_dPsi>
<dEpsilon>-0.004522</dEpsilon>
<sigma_dEpsilon>0.000198</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>51507.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.032689</X>
<sigma_X>0.000087</sigma_X>
<Y>0.377865</Y>
<sigma_Y>0.000071</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051796</dPsi>
<sigma_dPsi>0.000249</sigma_dPsi>
<dEpsilon>-0.003709</dEpsilon>
<sigma_dEpsilon>0.000094</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>1999</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>51526.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.036881</X>
<sigma_X>0.000083</sigma_X>
<Y>0.381100</Y>
<sigma_Y>0.000068</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050755</dPsi>
<sigma_dPsi>0.000274</sigma_dPsi>
<dEpsilon>-0.003320</dEpsilon>
<sigma_dEpsilon>0.000109</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>51544.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.041695</X>
<sigma_X>0.000082</sigma_X>
<Y>0.377524</Y>
<sigma_Y>0.000066</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050250</dPsi>
<sigma_dPsi>0.000312</sigma_dPsi>
<dEpsilon>-0.002421</dEpsilon>
<sigma_dEpsilon>0.000109</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>51562.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.051501</X>
<sigma_X>0.000084</sigma_X>
<Y>0.376044</Y>
<sigma_Y>0.000067</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051699</dPsi>
<sigma_dPsi>0.000284</sigma_dPsi>
<dEpsilon>-0.002838</dEpsilon>
<sigma_dEpsilon>0.000094</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>51581.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.061476</X>
<sigma_X>0.000085</sigma_X>
<Y>0.373385</Y>
<sigma_Y>0.000067</sigma_Y>
</pole>
<nutation>
<dPsi>-0.049314</dPsi>
<sigma_dPsi>0.000684</sigma_dPsi>
<dEpsilon>-0.003188</dEpsilon>
<sigma_dEpsilon>0.000267</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>51599.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.067783</X>
<sigma_X>0.000083</sigma_X>
<Y>0.365152</Y>
<sigma_Y>0.000064</sigma_Y>
</pole>
<nutation>
<dPsi>-0.049721</dPsi>
<sigma_dPsi>0.000362</sigma_dPsi>
<dEpsilon>-0.003999</dEpsilon>
<sigma_dEpsilon>0.000115</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>51617.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.072627</X>
<sigma_X>0.000087</sigma_X>
<Y>0.357156</Y>
<sigma_Y>0.000069</sigma_Y>
</pole>
<nutation>
<dPsi>-0.049489</dPsi>
<sigma_dPsi>0.000309</sigma_dPsi>
<dEpsilon>-0.005077</dEpsilon>
<sigma_dEpsilon>0.000104</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>51635.812</MJD>
</time>
<dataEOP>
<pole>
<X>0.075187</X>
<sigma_X>0.000088</sigma_X>
<Y>0.346899</Y>
<sigma_Y>0.000067</sigma_Y>
</pole>
<nutation>
<dPsi>-0.047316</dPsi>
<sigma_dPsi>0.000407</sigma_dPsi>
<dEpsilon>-0.005998</dEpsilon>
<sigma_dEpsilon>0.000136</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>51654.075</MJD>
</time>
<dataEOP>
<pole>
<X>0.082934</X>
<sigma_X>0.000077</sigma_X>
<Y>0.342767</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.047549</dPsi>
<sigma_dPsi>0.000314</sigma_dPsi>
<dEpsilon>-0.006284</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>51672.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.088664</X>
<sigma_X>0.000073</sigma_X>
<Y>0.332934</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.048584</dPsi>
<sigma_dPsi>0.000493</sigma_dPsi>
<dEpsilon>-0.007010</dEpsilon>
<sigma_dEpsilon>0.000158</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>51690.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.097976</X>
<sigma_X>0.000072</sigma_X>
<Y>0.322188</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.048214</dPsi>
<sigma_dPsi>0.000445</sigma_dPsi>
<dEpsilon>-0.006844</dEpsilon>
<sigma_dEpsilon>0.000158</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>51708.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.112539</X>
<sigma_X>0.000074</sigma_X>
<Y>0.304799</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050650</dPsi>
<sigma_dPsi>0.000980</sigma_dPsi>
<dEpsilon>-0.006413</dEpsilon>
<sigma_dEpsilon>0.000362</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>51727.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.108853</X>
<sigma_X>0.000073</sigma_X>
<Y>0.279895</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054787</dPsi>
<sigma_dPsi>0.000395</sigma_dPsi>
<dEpsilon>-0.006464</dEpsilon>
<sigma_dEpsilon>0.000120</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>51745.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.096269</X>
<sigma_X>0.000074</sigma_X>
<Y>0.261911</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056568</dPsi>
<sigma_dPsi>0.000344</sigma_dPsi>
<dEpsilon>-0.006337</dEpsilon>
<sigma_dEpsilon>0.000116</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>51763.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.082261</X>
<sigma_X>0.000076</sigma_X>
<Y>0.248589</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.059304</dPsi>
<sigma_dPsi>0.000581</sigma_dPsi>
<dEpsilon>-0.006292</dEpsilon>
<sigma_dEpsilon>0.000213</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>51781.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.059072</X>
<sigma_X>0.000077</sigma_X>
<Y>0.243071</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060965</dPsi>
<sigma_dPsi>0.000920</sigma_dPsi>
<dEpsilon>-0.006608</dEpsilon>
<sigma_dEpsilon>0.000376</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>51800.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.025809</X>
<sigma_X>0.000074</sigma_X>
<Y>0.240623</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060247</dPsi>
<sigma_dPsi>0.000608</sigma_dPsi>
<dEpsilon>-0.006072</dEpsilon>
<sigma_dEpsilon>0.000197</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>51818.437</MJD>
</time>
<dataEOP>
<pole>
<X>-0.006166</X>
<sigma_X>0.000073</sigma_X>
<Y>0.246749</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.059920</dPsi>
<sigma_dPsi>0.000334</sigma_dPsi>
<dEpsilon>-0.005205</dEpsilon>
<sigma_dEpsilon>0.000113</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>51836.700</MJD>
</time>
<dataEOP>
<pole>
<X>-0.035543</X>
<sigma_X>0.000075</sigma_X>
<Y>0.262829</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058319</dPsi>
<sigma_dPsi>0.000334</sigma_dPsi>
<dEpsilon>-0.004574</dEpsilon>
<sigma_dEpsilon>0.000116</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>51854.962</MJD>
</time>
<dataEOP>
<pole>
<X>-0.059966</X>
<sigma_X>0.000074</sigma_X>
<Y>0.292184</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055718</dPsi>
<sigma_dPsi>0.000342</sigma_dPsi>
<dEpsilon>-0.003858</dEpsilon>
<sigma_dEpsilon>0.000116</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>51873.225</MJD>
</time>
<dataEOP>
<pole>
<X>-0.077680</X>
<sigma_X>0.000074</sigma_X>
<Y>0.325330</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055179</dPsi>
<sigma_dPsi>0.000659</sigma_dPsi>
<dEpsilon>-0.002818</dEpsilon>
<sigma_dEpsilon>0.000210</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>51891.487</MJD>
</time>
<dataEOP>
<pole>
<X>-0.081545</X>
<sigma_X>0.000075</sigma_X>
<Y>0.358040</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053776</dPsi>
<sigma_dPsi>0.000329</sigma_dPsi>
<dEpsilon>-0.002165</dEpsilon>
<sigma_dEpsilon>0.000110</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2000</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>51909.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.073970</X>
<sigma_X>0.000074</sigma_X>
<Y>0.396547</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052926</dPsi>
<sigma_dPsi>0.001312</sigma_dPsi>
<dEpsilon>-0.002044</dEpsilon>
<sigma_dEpsilon>0.000437</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>51928.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.061211</X>
<sigma_X>0.000073</sigma_X>
<Y>0.426862</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052740</dPsi>
<sigma_dPsi>0.000106</sigma_dPsi>
<dEpsilon>-0.001725</dEpsilon>
<sigma_dEpsilon>0.000079</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>51946.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.032971</X>
<sigma_X>0.000075</sigma_X>
<Y>0.452218</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054038</dPsi>
<sigma_dPsi>0.000239</sigma_dPsi>
<dEpsilon>-0.002448</dEpsilon>
<sigma_dEpsilon>0.000130</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>51964.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.002931</X>
<sigma_X>0.000078</sigma_X>
<Y>0.475819</Y>
<sigma_Y>0.000065</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051373</dPsi>
<sigma_dPsi>0.000246</sigma_dPsi>
<dEpsilon>-0.002877</dEpsilon>
<sigma_dEpsilon>0.000140</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>51982.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.044397</X>
<sigma_X>0.000079</sigma_X>
<Y>0.487123</Y>
<sigma_Y>0.000063</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051300</dPsi>
<sigma_dPsi>0.000229</sigma_dPsi>
<dEpsilon>-0.004037</dEpsilon>
<sigma_dEpsilon>0.000116</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>52001.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.091531</X>
<sigma_X>0.000081</sigma_X>
<Y>0.489546</Y>
<sigma_Y>0.000064</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050594</dPsi>
<sigma_dPsi>0.000191</sigma_dPsi>
<dEpsilon>-0.005107</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>52019.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.137659</X>
<sigma_X>0.000075</sigma_X>
<Y>0.477963</Y>
<sigma_Y>0.000062</sigma_Y>
</pole>
<nutation>
<dPsi>-0.049006</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.005376</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>52037.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.179474</X>
<sigma_X>0.000074</sigma_X>
<Y>0.452616</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050319</dPsi>
<sigma_dPsi>0.000347</sigma_dPsi>
<dEpsilon>-0.005732</dEpsilon>
<sigma_dEpsilon>0.000192</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>52055.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.215539</X>
<sigma_X>0.000071</sigma_X>
<Y>0.409346</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051736</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.006118</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>52074.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.242887</X>
<sigma_X>0.000072</sigma_X>
<Y>0.359555</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052637</dPsi>
<sigma_dPsi>0.000224</sigma_dPsi>
<dEpsilon>-0.006093</dEpsilon>
<sigma_dEpsilon>0.000120</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>52092.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.253053</X>
<sigma_X>0.000074</sigma_X>
<Y>0.305350</Y>
<sigma_Y>0.000062</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055827</dPsi>
<sigma_dPsi>0.000196</sigma_dPsi>
<dEpsilon>-0.005634</dEpsilon>
<sigma_dEpsilon>0.000104</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>52110.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.247448</X>
<sigma_X>0.000072</sigma_X>
<Y>0.249732</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.059138</dPsi>
<sigma_dPsi>0.000450</sigma_dPsi>
<dEpsilon>-0.005989</dEpsilon>
<sigma_dEpsilon>0.000206</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>52128.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.220635</X>
<sigma_X>0.000076</sigma_X>
<Y>0.200033</Y>
<sigma_Y>0.000064</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060422</dPsi>
<sigma_dPsi>0.000196</sigma_dPsi>
<dEpsilon>-0.005592</dEpsilon>
<sigma_dEpsilon>0.000104</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>52147.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.175367</X>
<sigma_X>0.000079</sigma_X>
<Y>0.159189</Y>
<sigma_Y>0.000066</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062238</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.005631</dEpsilon>
<sigma_dEpsilon>0.000107</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>52165.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.125079</X>
<sigma_X>0.000077</sigma_X>
<Y>0.132679</Y>
<sigma_Y>0.000062</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062221</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.005615</dEpsilon>
<sigma_dEpsilon>0.000109</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>52183.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.064879</X>
<sigma_X>0.000076</sigma_X>
<Y>0.118532</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060716</dPsi>
<sigma_dPsi>0.000206</sigma_dPsi>
<dEpsilon>-0.004602</dEpsilon>
<sigma_dEpsilon>0.000111</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>52201.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.000640</X>
<sigma_X>0.000075</sigma_X>
<Y>0.121115</Y>
<sigma_Y>0.000062</sigma_Y>
</pole>
<nutation>
<dPsi>-0.059557</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.003951</dEpsilon>
<sigma_dEpsilon>0.000105</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>52220.212</MJD>
</time>
<dataEOP>
<pole>
<X>-0.059680</X>
<sigma_X>0.000075</sigma_X>
<Y>0.141953</Y>
<sigma_Y>0.000062</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057469</dPsi>
<sigma_dPsi>0.000349</sigma_dPsi>
<dEpsilon>-0.003114</dEpsilon>
<sigma_dEpsilon>0.000265</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>52238.475</MJD>
</time>
<dataEOP>
<pole>
<X>-0.102134</X>
<sigma_X>0.000074</sigma_X>
<Y>0.180711</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055758</dPsi>
<sigma_dPsi>0.000219</sigma_dPsi>
<dEpsilon>-0.002260</dEpsilon>
<sigma_dEpsilon>0.000131</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2001</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>52256.737</MJD>
</time>
<dataEOP>
<pole>
<X>-0.152794</X>
<sigma_X>0.000075</sigma_X>
<Y>0.228192</Y>
<sigma_Y>0.000063</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055403</dPsi>
<sigma_dPsi>0.000196</sigma_dPsi>
<dEpsilon>-0.001499</dEpsilon>
<sigma_dEpsilon>0.000108</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>52275.000</MJD>
</time>
<dataEOP>
<pole>
<X>-0.177712</X>
<sigma_X>0.000075</sigma_X>
<Y>0.290996</Y>
<sigma_Y>0.000063</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054565</dPsi>
<sigma_dPsi>0.000211</sigma_dPsi>
<dEpsilon>-0.001450</dEpsilon>
<sigma_dEpsilon>0.000101</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>52293.262</MJD>
</time>
<dataEOP>
<pole>
<X>-0.179802</X>
<sigma_X>0.000076</sigma_X>
<Y>0.348732</Y>
<sigma_Y>0.000064</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053897</dPsi>
<sigma_dPsi>0.000121</sigma_dPsi>
<dEpsilon>-0.001503</dEpsilon>
<sigma_dEpsilon>0.000053</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>52311.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.163333</X>
<sigma_X>0.000076</sigma_X>
<Y>0.407089</Y>
<sigma_Y>0.000064</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053952</dPsi>
<sigma_dPsi>0.000671</sigma_dPsi>
<dEpsilon>-0.001665</dEpsilon>
<sigma_dEpsilon>0.000262</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>52329.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.134843</X>
<sigma_X>0.000076</sigma_X>
<Y>0.461974</Y>
<sigma_Y>0.000063</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054132</dPsi>
<sigma_dPsi>0.000284</sigma_dPsi>
<dEpsilon>-0.002848</dEpsilon>
<sigma_dEpsilon>0.000135</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>52348.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.088403</X>
<sigma_X>0.000078</sigma_X>
<Y>0.513500</Y>
<sigma_Y>0.000064</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051993</dPsi>
<sigma_dPsi>0.000156</sigma_dPsi>
<dEpsilon>-0.002860</dEpsilon>
<sigma_dEpsilon>0.000065</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>52366.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.027669</X>
<sigma_X>0.000076</sigma_X>
<Y>0.542055</Y>
<sigma_Y>0.000064</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051409</dPsi>
<sigma_dPsi>0.000264</sigma_dPsi>
<dEpsilon>-0.004226</dEpsilon>
<sigma_dEpsilon>0.000120</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>52384.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.028912</X>
<sigma_X>0.000074</sigma_X>
<Y>0.554469</Y>
<sigma_Y>0.000064</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050747</dPsi>
<sigma_dPsi>0.000156</sigma_dPsi>
<dEpsilon>-0.005066</dEpsilon>
<sigma_dEpsilon>0.000068</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>52402.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.091891</X>
<sigma_X>0.000070</sigma_X>
<Y>0.550173</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050504</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.004764</dEpsilon>
<sigma_dEpsilon>0.000075</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>52421.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.142546</X>
<sigma_X>0.000073</sigma_X>
<Y>0.534064</Y>
<sigma_Y>0.000062</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052703</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.004972</dEpsilon>
<sigma_dEpsilon>0.000075</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>52439.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.193920</X>
<sigma_X>0.000073</sigma_X>
<Y>0.504612</Y>
<sigma_Y>0.000064</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054313</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.005325</dEpsilon>
<sigma_dEpsilon>0.000080</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>52457.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.228531</X>
<sigma_X>0.000071</sigma_X>
<Y>0.458331</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056472</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.005218</dEpsilon>
<sigma_dEpsilon>0.000077</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>52475.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.243598</X>
<sigma_X>0.000069</sigma_X>
<Y>0.403825</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.059878</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.004731</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>52494.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.257187</X>
<sigma_X>0.000072</sigma_X>
<Y>0.349019</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061610</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.005400</dEpsilon>
<sigma_dEpsilon>0.000080</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>52512.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.256203</X>
<sigma_X>0.000073</sigma_X>
<Y>0.295857</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062539</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.004445</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>52530.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.236058</X>
<sigma_X>0.000073</sigma_X>
<Y>0.242566</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063223</dPsi>
<sigma_dPsi>0.000224</sigma_dPsi>
<dEpsilon>-0.004665</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>52548.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.197498</X>
<sigma_X>0.000073</sigma_X>
<Y>0.200090</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061654</dPsi>
<sigma_dPsi>0.000178</sigma_dPsi>
<dEpsilon>-0.004392</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>52567.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.151536</X>
<sigma_X>0.000069</sigma_X>
<Y>0.165262</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060003</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.003106</dEpsilon>
<sigma_dEpsilon>0.000075</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>52585.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.084933</X>
<sigma_X>0.000073</sigma_X>
<Y>0.147028</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057975</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.002571</dEpsilon>
<sigma_dEpsilon>0.000085</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>52603.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.022899</X>
<sigma_X>0.000070</sigma_X>
<Y>0.141577</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056202</dPsi>
<sigma_dPsi>0.000246</sigma_dPsi>
<dEpsilon>-0.002072</dEpsilon>
<sigma_dEpsilon>0.000099</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2002</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>52621.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.038642</X>
<sigma_X>0.000071</sigma_X>
<Y>0.153022</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055619</dPsi>
<sigma_dPsi>0.000158</sigma_dPsi>
<dEpsilon>-0.000976</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>52640.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.089277</X>
<sigma_X>0.000070</sigma_X>
<Y>0.187430</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055304</dPsi>
<sigma_dPsi>0.000161</sigma_dPsi>
<dEpsilon>-0.000677</dEpsilon>
<sigma_dEpsilon>0.000071</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>52658.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.127668</X>
<sigma_X>0.000071</sigma_X>
<Y>0.229232</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054324</dPsi>
<sigma_dPsi>0.000420</sigma_dPsi>
<dEpsilon>-0.001316</dEpsilon>
<sigma_dEpsilon>0.000176</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>52676.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.148406</X>
<sigma_X>0.000074</sigma_X>
<Y>0.278397</Y>
<sigma_Y>0.000063</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054015</dPsi>
<sigma_dPsi>0.000153</sigma_dPsi>
<dEpsilon>-0.001319</dEpsilon>
<sigma_dEpsilon>0.000061</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>52695.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.154799</X>
<sigma_X>0.000074</sigma_X>
<Y>0.331450</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053965</dPsi>
<sigma_dPsi>0.000385</sigma_dPsi>
<dEpsilon>-0.001988</dEpsilon>
<sigma_dEpsilon>0.000167</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>52713.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.156333</X>
<sigma_X>0.000071</sigma_X>
<Y>0.383876</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052373</dPsi>
<sigma_dPsi>0.000156</sigma_dPsi>
<dEpsilon>-0.003579</dEpsilon>
<sigma_dEpsilon>0.000061</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>52731.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.131799</X>
<sigma_X>0.000070</sigma_X>
<Y>0.439539</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051603</dPsi>
<sigma_dPsi>0.000251</sigma_dPsi>
<dEpsilon>-0.003222</dEpsilon>
<sigma_dEpsilon>0.000108</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>52749.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.094408</X>
<sigma_X>0.000069</sigma_X>
<Y>0.486663</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051459</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.004655</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>52768.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.044953</X>
<sigma_X>0.000069</sigma_X>
<Y>0.522390</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.050601</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.005396</dEpsilon>
<sigma_dEpsilon>0.000066</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>52786.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.001675</X>
<sigma_X>0.000071</sigma_X>
<Y>0.543277</Y>
<sigma_Y>0.000062</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051700</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.004485</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>52804.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.063581</X>
<sigma_X>0.000068</sigma_X>
<Y>0.547104</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055209</dPsi>
<sigma_dPsi>0.000641</sigma_dPsi>
<dEpsilon>-0.004541</dEpsilon>
<sigma_dEpsilon>0.000239</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>52822.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.134667</X>
<sigma_X>0.000066</sigma_X>
<Y>0.537304</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056897</dPsi>
<sigma_dPsi>0.000138</sigma_dPsi>
<dEpsilon>-0.004900</dEpsilon>
<sigma_dEpsilon>0.000059</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>52841.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.191095</X>
<sigma_X>0.000066</sigma_X>
<Y>0.509156</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060118</dPsi>
<sigma_dPsi>0.000221</sigma_dPsi>
<dEpsilon>-0.004406</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>52859.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.232167</X>
<sigma_X>0.000067</sigma_X>
<Y>0.464995</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062759</dPsi>
<sigma_dPsi>0.000171</sigma_dPsi>
<dEpsilon>-0.004444</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>52877.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.259719</X>
<sigma_X>0.000067</sigma_X>
<Y>0.415492</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062952</dPsi>
<sigma_dPsi>0.000126</sigma_dPsi>
<dEpsilon>-0.004901</dEpsilon>
<sigma_dEpsilon>0.000050</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>52895.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.264670</X>
<sigma_X>0.000066</sigma_X>
<Y>0.357176</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063419</dPsi>
<sigma_dPsi>0.000699</sigma_dPsi>
<dEpsilon>-0.003745</dEpsilon>
<sigma_dEpsilon>0.000294</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>52914.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.257068</X>
<sigma_X>0.000065</sigma_X>
<Y>0.302277</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062946</dPsi>
<sigma_dPsi>0.000153</sigma_dPsi>
<dEpsilon>-0.003904</dEpsilon>
<sigma_dEpsilon>0.000062</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>52932.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.227131</X>
<sigma_X>0.000069</sigma_X>
<Y>0.251072</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060002</dPsi>
<sigma_dPsi>0.000196</sigma_dPsi>
<dEpsilon>-0.003562</dEpsilon>
<sigma_dEpsilon>0.000080</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>52950.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.196374</X>
<sigma_X>0.000069</sigma_X>
<Y>0.208078</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058973</dPsi>
<sigma_dPsi>0.000236</sigma_dPsi>
<dEpsilon>-0.001974</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>52968.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.146802</X>
<sigma_X>0.000066</sigma_X>
<Y>0.174080</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057333</dPsi>
<sigma_dPsi>0.001327</sigma_dPsi>
<dEpsilon>-0.001694</dEpsilon>
<sigma_dEpsilon>0.000511</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2003</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>52987.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.087650</X>
<sigma_X>0.000065</sigma_X>
<Y>0.159551</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055477</dPsi>
<sigma_dPsi>0.000093</sigma_dPsi>
<dEpsilon>-0.001514</dEpsilon>
<sigma_dEpsilon>0.000043</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>53005.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.032003</X>
<sigma_X>0.000067</sigma_X>
<Y>0.154398</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056133</dPsi>
<sigma_dPsi>0.000209</sigma_dPsi>
<dEpsilon>-0.000277</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>53023.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.013717</X>
<sigma_X>0.000072</sigma_X>
<Y>0.166858</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056030</dPsi>
<sigma_dPsi>0.000171</sigma_dPsi>
<dEpsilon>-0.000709</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>53042.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.056672</X>
<sigma_X>0.000070</sigma_X>
<Y>0.192522</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054509</dPsi>
<sigma_dPsi>0.000282</sigma_dPsi>
<dEpsilon>-0.001538</dEpsilon>
<sigma_dEpsilon>0.000117</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>53060.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.100690</X>
<sigma_X>0.000069</sigma_X>
<Y>0.228229</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054559</dPsi>
<sigma_dPsi>0.000171</sigma_dPsi>
<dEpsilon>-0.001892</dEpsilon>
<sigma_dEpsilon>0.000070</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>53078.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.126540</X>
<sigma_X>0.000067</sigma_X>
<Y>0.268684</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054032</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.002977</dEpsilon>
<sigma_dEpsilon>0.000080</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>53096.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.139215</X>
<sigma_X>0.000069</sigma_X>
<Y>0.320592</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051398</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.004530</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>53115.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.135006</X>
<sigma_X>0.000069</sigma_X>
<Y>0.374503</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051634</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.003921</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>53133.337</MJD>
</time>
<dataEOP>
<pole>
<X>-0.112179</X>
<sigma_X>0.000069</sigma_X>
<Y>0.423835</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052791</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.005176</dEpsilon>
<sigma_dEpsilon>0.000070</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>53151.600</MJD>
</time>
<dataEOP>
<pole>
<X>-0.090853</X>
<sigma_X>0.000067</sigma_X>
<Y>0.459114</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052099</dPsi>
<sigma_dPsi>0.000206</sigma_dPsi>
<dEpsilon>-0.005503</dEpsilon>
<sigma_dEpsilon>0.000088</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>53169.862</MJD>
</time>
<dataEOP>
<pole>
<X>-0.060677</X>
<sigma_X>0.000066</sigma_X>
<Y>0.486722</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054625</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.004251</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>53188.125</MJD>
</time>
<dataEOP>
<pole>
<X>-0.006352</X>
<sigma_X>0.000067</sigma_X>
<Y>0.510618</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058840</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.004636</dEpsilon>
<sigma_dEpsilon>0.000073</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>53206.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.041317</X>
<sigma_X>0.000067</sigma_X>
<Y>0.520331</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060335</dPsi>
<sigma_dPsi>0.000209</sigma_dPsi>
<dEpsilon>-0.004645</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>53224.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.089842</X>
<sigma_X>0.000066</sigma_X>
<Y>0.514966</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063487</dPsi>
<sigma_dPsi>0.000249</sigma_dPsi>
<dEpsilon>-0.004356</dEpsilon>
<sigma_dEpsilon>0.000099</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>53242.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.136127</X>
<sigma_X>0.000066</sigma_X>
<Y>0.505448</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.064357</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.004711</dEpsilon>
<sigma_dEpsilon>0.000067</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>53261.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.176832</X>
<sigma_X>0.000067</sigma_X>
<Y>0.471466</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063630</dPsi>
<sigma_dPsi>0.000171</sigma_dPsi>
<dEpsilon>-0.004408</dEpsilon>
<sigma_dEpsilon>0.000071</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>53279.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.199142</X>
<sigma_X>0.000066</sigma_X>
<Y>0.431614</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063080</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.003591</dEpsilon>
<sigma_dEpsilon>0.000071</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>53297.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.205416</X>
<sigma_X>0.000068</sigma_X>
<Y>0.388817</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061753</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.003394</dEpsilon>
<sigma_dEpsilon>0.000071</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>53315.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.207995</X>
<sigma_X>0.000068</sigma_X>
<Y>0.349237</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058058</dPsi>
<sigma_dPsi>0.000392</sigma_dPsi>
<dEpsilon>-0.003035</dEpsilon>
<sigma_dEpsilon>0.000134</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>53334.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.202829</X>
<sigma_X>0.000066</sigma_X>
<Y>0.307471</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057587</dPsi>
<sigma_dPsi>0.000294</sigma_dPsi>
<dEpsilon>-0.001383</dEpsilon>
<sigma_dEpsilon>0.000119</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>53352.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.177448</X>
<sigma_X>0.000067</sigma_X>
<Y>0.268658</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056601</dPsi>
<sigma_dPsi>0.000274</sigma_dPsi>
<dEpsilon>-0.001611</dEpsilon>
<sigma_dEpsilon>0.000112</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2004</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>53370.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.151634</X>
<sigma_X>0.000070</sigma_X>
<Y>0.239305</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054592</dPsi>
<sigma_dPsi>0.000178</sigma_dPsi>
<dEpsilon>-0.001108</dEpsilon>
<sigma_dEpsilon>0.000071</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>53389.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.124418</X>
<sigma_X>0.000071</sigma_X>
<Y>0.216430</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056310</dPsi>
<sigma_dPsi>0.000229</sigma_dPsi>
<dEpsilon>-0.000728</dEpsilon>
<sigma_dEpsilon>0.000093</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>53407.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.079114</X>
<sigma_X>0.000070</sigma_X>
<Y>0.205761</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056358</dPsi>
<sigma_dPsi>0.000367</sigma_dPsi>
<dEpsilon>-0.001633</dEpsilon>
<sigma_dEpsilon>0.000164</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>53425.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.032526</X>
<sigma_X>0.000067</sigma_X>
<Y>0.207110</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054694</dPsi>
<sigma_dPsi>0.000216</sigma_dPsi>
<dEpsilon>-0.002264</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>53443.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.002033</X>
<sigma_X>0.000069</sigma_X>
<Y>0.222535</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054680</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.003288</dEpsilon>
<sigma_dEpsilon>0.000073</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>53462.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.028484</X>
<sigma_X>0.000070</sigma_X>
<Y>0.242347</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053555</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.004471</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>53480.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.053113</X>
<sigma_X>0.000071</sigma_X>
<Y>0.273260</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.051633</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.005333</dEpsilon>
<sigma_dEpsilon>0.000096</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>53498.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.061272</X>
<sigma_X>0.000070</sigma_X>
<Y>0.311081</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.052619</dPsi>
<sigma_dPsi>0.000163</sigma_dPsi>
<dEpsilon>-0.004759</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>53516.850</MJD>
</time>
<dataEOP>
<pole>
<X>-0.068791</X>
<sigma_X>0.000068</sigma_X>
<Y>0.340389</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054584</dPsi>
<sigma_dPsi>0.000334</sigma_dPsi>
<dEpsilon>-0.005644</dEpsilon>
<sigma_dEpsilon>0.000137</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>53535.112</MJD>
</time>
<dataEOP>
<pole>
<X>-0.052807</X>
<sigma_X>0.000068</sigma_X>
<Y>0.372228</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055173</dPsi>
<sigma_dPsi>0.000178</sigma_dPsi>
<dEpsilon>-0.005313</dEpsilon>
<sigma_dEpsilon>0.000073</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>53553.375</MJD>
</time>
<dataEOP>
<pole>
<X>-0.038133</X>
<sigma_X>0.000070</sigma_X>
<Y>0.398321</Y>
<sigma_Y>0.000061</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058901</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.004601</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>53571.637</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017974</X>
<sigma_X>0.000068</sigma_X>
<Y>0.415862</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062169</dPsi>
<sigma_dPsi>0.000294</sigma_dPsi>
<dEpsilon>-0.005164</dEpsilon>
<sigma_dEpsilon>0.000135</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>53589.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.009702</X>
<sigma_X>0.000068</sigma_X>
<Y>0.424357</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063695</dPsi>
<sigma_dPsi>0.000621</sigma_dPsi>
<dEpsilon>-0.004456</dEpsilon>
<sigma_dEpsilon>0.000214</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>53608.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.037177</X>
<sigma_X>0.000069</sigma_X>
<Y>0.427889</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.066130</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.004844</dEpsilon>
<sigma_dEpsilon>0.000075</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>53626.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.049729</X>
<sigma_X>0.000070</sigma_X>
<Y>0.422248</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065404</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.005079</dEpsilon>
<sigma_dEpsilon>0.000078</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>53644.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.059053</X>
<sigma_X>0.000070</sigma_X>
<Y>0.416892</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.064114</dPsi>
<sigma_dPsi>0.000380</sigma_dPsi>
<dEpsilon>-0.003971</dEpsilon>
<sigma_dEpsilon>0.000158</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>53662.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.069571</X>
<sigma_X>0.000068</sigma_X>
<Y>0.407876</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062775</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.003707</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>53681.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.071873</X>
<sigma_X>0.000067</sigma_X>
<Y>0.396073</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060812</dPsi>
<sigma_dPsi>0.000701</sigma_dPsi>
<dEpsilon>-0.003141</dEpsilon>
<sigma_dEpsilon>0.000262</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>53699.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.067360</X>
<sigma_X>0.000067</sigma_X>
<Y>0.389719</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057695</dPsi>
<sigma_dPsi>0.000148</sigma_dPsi>
<dEpsilon>-0.002324</dEpsilon>
<sigma_dEpsilon>0.000062</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2005</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>53717.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.065153</X>
<sigma_X>0.000066</sigma_X>
<Y>0.389472</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057985</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.001301</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>53736.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.053786</X>
<sigma_X>0.000069</sigma_X>
<Y>0.384547</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057314</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.001845</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>53754.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.049734</X>
<sigma_X>0.000071</sigma_X>
<Y>0.380540</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055713</dPsi>
<sigma_dPsi>0.000294</sigma_dPsi>
<dEpsilon>-0.001152</dEpsilon>
<sigma_dEpsilon>0.000132</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>53772.525</MJD>
</time>
<dataEOP>
<pole>
<X>0.051805</X>
<sigma_X>0.000067</sigma_X>
<Y>0.384285</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057552</dPsi>
<sigma_dPsi>0.000161</sigma_dPsi>
<dEpsilon>-0.002139</dEpsilon>
<sigma_dEpsilon>0.000065</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>53790.787</MJD>
</time>
<dataEOP>
<pole>
<X>0.069197</X>
<sigma_X>0.000068</sigma_X>
<Y>0.384031</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056512</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.003258</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>53809.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.085240</X>
<sigma_X>0.000071</sigma_X>
<Y>0.380900</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054996</dPsi>
<sigma_dPsi>0.000289</sigma_dPsi>
<dEpsilon>-0.003470</dEpsilon>
<sigma_dEpsilon>0.000110</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>53827.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.102961</X>
<sigma_X>0.000067</sigma_X>
<Y>0.374089</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055420</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.004815</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>53845.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.103908</X>
<sigma_X>0.000067</sigma_X>
<Y>0.365199</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053477</dPsi>
<sigma_dPsi>0.000194</sigma_dPsi>
<dEpsilon>-0.005988</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>53863.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.108703</X>
<sigma_X>0.000065</sigma_X>
<Y>0.354506</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.053199</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.005737</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>53882.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.115996</X>
<sigma_X>0.000065</sigma_X>
<Y>0.340967</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055006</dPsi>
<sigma_dPsi>0.000206</sigma_dPsi>
<dEpsilon>-0.005678</dEpsilon>
<sigma_dEpsilon>0.000087</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>53900.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.124856</X>
<sigma_X>0.000068</sigma_X>
<Y>0.319716</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056762</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.005901</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>53918.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.127850</X>
<sigma_X>0.000067</sigma_X>
<Y>0.298912</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058954</dPsi>
<sigma_dPsi>0.000196</sigma_dPsi>
<dEpsilon>-0.005312</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>53936.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.120588</X>
<sigma_X>0.000067</sigma_X>
<Y>0.279092</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062606</dPsi>
<sigma_dPsi>0.000216</sigma_dPsi>
<dEpsilon>-0.005369</dEpsilon>
<sigma_dEpsilon>0.000089</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>53955.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.108578</X>
<sigma_X>0.000067</sigma_X>
<Y>0.264999</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.064437</dPsi>
<sigma_dPsi>0.000234</sigma_dPsi>
<dEpsilon>-0.005675</dEpsilon>
<sigma_dEpsilon>0.000102</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>53973.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.089768</X>
<sigma_X>0.000067</sigma_X>
<Y>0.254448</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065725</dPsi>
<sigma_dPsi>0.000161</sigma_dPsi>
<dEpsilon>-0.004563</dEpsilon>
<sigma_dEpsilon>0.000065</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>53991.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.067524</X>
<sigma_X>0.000069</sigma_X>
<Y>0.253574</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067306</dPsi>
<sigma_dPsi>0.000322</sigma_dPsi>
<dEpsilon>-0.005299</dEpsilon>
<sigma_dEpsilon>0.000140</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>54009.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.033050</X>
<sigma_X>0.000068</sigma_X>
<Y>0.253032</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065349</dPsi>
<sigma_dPsi>0.000214</sigma_dPsi>
<dEpsilon>-0.005442</dEpsilon>
<sigma_dEpsilon>0.000088</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>54028.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.004859</X>
<sigma_X>0.000066</sigma_X>
<Y>0.262146</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063403</dPsi>
<sigma_dPsi>0.000178</sigma_dPsi>
<dEpsilon>-0.003666</dEpsilon>
<sigma_dEpsilon>0.000073</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>54046.462</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008578</X>
<sigma_X>0.000067</sigma_X>
<Y>0.279382</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061882</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.003833</dEpsilon>
<sigma_dEpsilon>0.000085</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>54064.725</MJD>
</time>
<dataEOP>
<pole>
<X>-0.031156</X>
<sigma_X>0.000067</sigma_X>
<Y>0.297549</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060007</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.003004</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2006</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>54082.987</MJD>
</time>
<dataEOP>
<pole>
<X>-0.046601</X>
<sigma_X>0.000068</sigma_X>
<Y>0.323012</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058674</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.002079</dEpsilon>
<sigma_dEpsilon>0.000075</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>54101.250</MJD>
</time>
<dataEOP>
<pole>
<X>-0.052188</X>
<sigma_X>0.000070</sigma_X>
<Y>0.346717</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.059047</dPsi>
<sigma_dPsi>0.000214</sigma_dPsi>
<dEpsilon>-0.001933</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>54119.512</MJD>
</time>
<dataEOP>
<pole>
<X>-0.057288</X>
<sigma_X>0.000068</sigma_X>
<Y>0.377352</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058517</dPsi>
<sigma_dPsi>0.000158</sigma_dPsi>
<dEpsilon>-0.002598</dEpsilon>
<sigma_dEpsilon>0.000063</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>54137.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.042413</X>
<sigma_X>0.000068</sigma_X>
<Y>0.409689</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057382</dPsi>
<sigma_dPsi>0.000387</sigma_dPsi>
<dEpsilon>-0.002500</dEpsilon>
<sigma_dEpsilon>0.000182</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>54156.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.020637</X>
<sigma_X>0.000070</sigma_X>
<Y>0.438120</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058818</dPsi>
<sigma_dPsi>0.000146</sigma_dPsi>
<dEpsilon>-0.003990</dEpsilon>
<sigma_dEpsilon>0.000061</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>54174.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.003341</X>
<sigma_X>0.000068</sigma_X>
<Y>0.461605</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056636</dPsi>
<sigma_dPsi>0.000163</sigma_dPsi>
<dEpsilon>-0.005313</dEpsilon>
<sigma_dEpsilon>0.000071</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>54192.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.025605</X>
<sigma_X>0.000065</sigma_X>
<Y>0.480584</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.055621</dPsi>
<sigma_dPsi>0.000153</sigma_dPsi>
<dEpsilon>-0.005246</dEpsilon>
<sigma_dEpsilon>0.000068</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>54210.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.059772</X>
<sigma_X>0.000065</sigma_X>
<Y>0.490794</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056790</dPsi>
<sigma_dPsi>0.000156</sigma_dPsi>
<dEpsilon>-0.006605</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>54229.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.094674</X>
<sigma_X>0.000063</sigma_X>
<Y>0.486620</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.054836</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.007379</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>54247.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.135178</X>
<sigma_X>0.000066</sigma_X>
<Y>0.469461</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056268</dPsi>
<sigma_dPsi>0.000163</sigma_dPsi>
<dEpsilon>-0.006530</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>54265.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.175246</X>
<sigma_X>0.000066</sigma_X>
<Y>0.441011</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058819</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.006809</dEpsilon>
<sigma_dEpsilon>0.000071</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>54283.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.209270</X>
<sigma_X>0.000066</sigma_X>
<Y>0.408177</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061084</dPsi>
<sigma_dPsi>0.000153</sigma_dPsi>
<dEpsilon>-0.006345</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>54302.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.227541</X>
<sigma_X>0.000066</sigma_X>
<Y>0.363983</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.064407</dPsi>
<sigma_dPsi>0.000576</sigma_dPsi>
<dEpsilon>-0.006315</dEpsilon>
<sigma_dEpsilon>0.000223</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>54320.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.221870</X>
<sigma_X>0.000066</sigma_X>
<Y>0.316579</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.066661</dPsi>
<sigma_dPsi>0.000239</sigma_dPsi>
<dEpsilon>-0.006481</dEpsilon>
<sigma_dEpsilon>0.000107</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>54338.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.204014</X>
<sigma_X>0.000067</sigma_X>
<Y>0.273228</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067696</dPsi>
<sigma_dPsi>0.000161</sigma_dPsi>
<dEpsilon>-0.006474</dEpsilon>
<sigma_dEpsilon>0.000068</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>54356.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.177917</X>
<sigma_X>0.000066</sigma_X>
<Y>0.237512</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067773</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.005371</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>54375.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.131339</X>
<sigma_X>0.000064</sigma_X>
<Y>0.205806</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067777</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.005727</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>54393.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.077434</X>
<sigma_X>0.000065</sigma_X>
<Y>0.190963</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065273</dPsi>
<sigma_dPsi>0.000133</sigma_dPsi>
<dEpsilon>-0.005561</dEpsilon>
<sigma_dEpsilon>0.000059</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>54411.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.031320</X>
<sigma_X>0.000063</sigma_X>
<Y>0.192478</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063398</dPsi>
<sigma_dPsi>0.000543</sigma_dPsi>
<dEpsilon>-0.003799</dEpsilon>
<sigma_dEpsilon>0.000225</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>54429.975</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017952</X>
<sigma_X>0.000065</sigma_X>
<Y>0.204749</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061516</dPsi>
<sigma_dPsi>0.000239</sigma_dPsi>
<dEpsilon>-0.004076</dEpsilon>
<sigma_dEpsilon>0.000098</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2007</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>54448.237</MJD>
</time>
<dataEOP>
<pole>
<X>-0.052387</X>
<sigma_X>0.000067</sigma_X>
<Y>0.228734</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060349</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.003170</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>54466.500</MJD>
</time>
<dataEOP>
<pole>
<X>-0.080038</X>
<sigma_X>0.000066</sigma_X>
<Y>0.257822</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060211</dPsi>
<sigma_dPsi>0.000196</sigma_dPsi>
<dEpsilon>-0.002959</dEpsilon>
<sigma_dEpsilon>0.000082</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>54484.762</MJD>
</time>
<dataEOP>
<pole>
<X>-0.112457</X>
<sigma_X>0.000065</sigma_X>
<Y>0.297360</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060462</dPsi>
<sigma_dPsi>0.000194</sigma_dPsi>
<dEpsilon>-0.003008</dEpsilon>
<sigma_dEpsilon>0.000080</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>54503.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.122136</X>
<sigma_X>0.000066</sigma_X>
<Y>0.344745</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.059775</dPsi>
<sigma_dPsi>0.000214</sigma_dPsi>
<dEpsilon>-0.003825</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>54521.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.125960</X>
<sigma_X>0.000065</sigma_X>
<Y>0.392562</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058979</dPsi>
<sigma_dPsi>0.000163</sigma_dPsi>
<dEpsilon>-0.004589</dEpsilon>
<sigma_dEpsilon>0.000070</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>54539.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.103879</X>
<sigma_X>0.000062</sigma_X>
<Y>0.443739</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.059652</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.005963</dEpsilon>
<sigma_dEpsilon>0.000080</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>54557.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062682</X>
<sigma_X>0.000061</sigma_X>
<Y>0.490795</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056934</dPsi>
<sigma_dPsi>0.000156</sigma_dPsi>
<dEpsilon>-0.007263</dEpsilon>
<sigma_dEpsilon>0.000067</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>54576.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.015751</X>
<sigma_X>0.000062</sigma_X>
<Y>0.521058</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.056761</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.007308</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>54594.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.038294</X>
<sigma_X>0.000061</sigma_X>
<Y>0.540258</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058107</dPsi>
<sigma_dPsi>0.000153</sigma_dPsi>
<dEpsilon>-0.008323</dEpsilon>
<sigma_dEpsilon>0.000066</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>54612.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.099370</X>
<sigma_X>0.000063</sigma_X>
<Y>0.541766</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.057546</dPsi>
<sigma_dPsi>0.000294</sigma_dPsi>
<dEpsilon>-0.008315</dEpsilon>
<sigma_dEpsilon>0.000117</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>54630.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.160838</X>
<sigma_X>0.000064</sigma_X>
<Y>0.526025</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060325</dPsi>
<sigma_dPsi>0.000156</sigma_dPsi>
<dEpsilon>-0.007725</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>54649.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.213121</X>
<sigma_X>0.000063</sigma_X>
<Y>0.496586</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063458</dPsi>
<sigma_dPsi>0.000196</sigma_dPsi>
<dEpsilon>-0.007912</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>54667.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.257738</X>
<sigma_X>0.000063</sigma_X>
<Y>0.453779</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.066157</dPsi>
<sigma_dPsi>0.000231</sigma_dPsi>
<dEpsilon>-0.007209</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>54685.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.289106</X>
<sigma_X>0.000063</sigma_X>
<Y>0.398382</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.069411</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.007589</dEpsilon>
<sigma_dEpsilon>0.000070</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>54703.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.297823</X>
<sigma_X>0.000063</sigma_X>
<Y>0.341241</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.069891</dPsi>
<sigma_dPsi>0.000141</sigma_dPsi>
<dEpsilon>-0.007540</dEpsilon>
<sigma_dEpsilon>0.000060</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>54722.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.294245</X>
<sigma_X>0.000061</sigma_X>
<Y>0.278489</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.070043</dPsi>
<sigma_dPsi>0.000178</sigma_dPsi>
<dEpsilon>-0.007208</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>54740.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.263837</X>
<sigma_X>0.000062</sigma_X>
<Y>0.220883</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.069389</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.006347</dEpsilon>
<sigma_dEpsilon>0.000077</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>54758.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.218559</X>
<sigma_X>0.000062</sigma_X>
<Y>0.174952</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067828</dPsi>
<sigma_dPsi>0.000171</sigma_dPsi>
<dEpsilon>-0.006089</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>54776.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.164955</X>
<sigma_X>0.000063</sigma_X>
<Y>0.144749</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065160</dPsi>
<sigma_dPsi>0.000538</sigma_dPsi>
<dEpsilon>-0.005504</dEpsilon>
<sigma_dEpsilon>0.000237</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>54795.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.106769</X>
<sigma_X>0.000063</sigma_X>
<Y>0.135778</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.064264</dPsi>
<sigma_dPsi>0.000289</sigma_dPsi>
<dEpsilon>-0.004476</dEpsilon>
<sigma_dEpsilon>0.000117</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>54813.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.048404</X>
<sigma_X>0.000064</sigma_X>
<Y>0.134674</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062469</dPsi>
<sigma_dPsi>0.000133</sigma_dPsi>
<dEpsilon>-0.004443</dEpsilon>
<sigma_dEpsilon>0.000053</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2008</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>54831.750</MJD>
</time>
<dataEOP>
<pole>
<X>-0.012703</X>
<sigma_X>0.000063</sigma_X>
<Y>0.145816</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061756</dPsi>
<sigma_dPsi>0.000561</sigma_dPsi>
<dEpsilon>-0.003784</dEpsilon>
<sigma_dEpsilon>0.000286</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>54850.012</MJD>
</time>
<dataEOP>
<pole>
<X>-0.075008</X>
<sigma_X>0.000060</sigma_X>
<Y>0.174897</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062170</dPsi>
<sigma_dPsi>0.000103</sigma_dPsi>
<dEpsilon>-0.004272</dEpsilon>
<sigma_dEpsilon>0.000039</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>54868.275</MJD>
</time>
<dataEOP>
<pole>
<X>-0.112410</X>
<sigma_X>0.000062</sigma_X>
<Y>0.223248</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062951</dPsi>
<sigma_dPsi>0.000447</sigma_dPsi>
<dEpsilon>-0.004638</dEpsilon>
<sigma_dEpsilon>0.000232</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>54886.537</MJD>
</time>
<dataEOP>
<pole>
<X>-0.133745</X>
<sigma_X>0.000059</sigma_X>
<Y>0.282903</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061240</dPsi>
<sigma_dPsi>0.000158</sigma_dPsi>
<dEpsilon>-0.005607</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>54904.800</MJD>
</time>
<dataEOP>
<pole>
<X>-0.130193</X>
<sigma_X>0.000059</sigma_X>
<Y>0.347248</Y>
<sigma_Y>0.000047</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060978</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.006874</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>54923.062</MJD>
</time>
<dataEOP>
<pole>
<X>-0.116208</X>
<sigma_X>0.000060</sigma_X>
<Y>0.407142</Y>
<sigma_Y>0.000047</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060537</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.008071</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>54941.325</MJD>
</time>
<dataEOP>
<pole>
<X>-0.084629</X>
<sigma_X>0.000059</sigma_X>
<Y>0.459759</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.058239</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.008874</dEpsilon>
<sigma_dEpsilon>0.000079</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>54959.587</MJD>
</time>
<dataEOP>
<pole>
<X>-0.043232</X>
<sigma_X>0.000060</sigma_X>
<Y>0.500504</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.059164</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.009041</dEpsilon>
<sigma_dEpsilon>0.000078</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>54977.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.013827</X>
<sigma_X>0.000059</sigma_X>
<Y>0.529020</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.060754</dPsi>
<sigma_dPsi>0.000163</sigma_dPsi>
<dEpsilon>-0.009502</dEpsilon>
<sigma_dEpsilon>0.000073</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>54996.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.076600</X>
<sigma_X>0.000059</sigma_X>
<Y>0.541054</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061764</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.009091</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>55014.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.133977</X>
<sigma_X>0.000060</sigma_X>
<Y>0.533085</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065254</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.008806</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>55032.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.191705</X>
<sigma_X>0.000060</sigma_X>
<Y>0.515757</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.068360</dPsi>
<sigma_dPsi>0.000191</sigma_dPsi>
<dEpsilon>-0.008873</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>55050.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.235267</X>
<sigma_X>0.000059</sigma_X>
<Y>0.477320</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.070295</dPsi>
<sigma_dPsi>0.000158</sigma_dPsi>
<dEpsilon>-0.008099</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>55069.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.264092</X>
<sigma_X>0.000059</sigma_X>
<Y>0.434196</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.073160</dPsi>
<sigma_dPsi>0.000241</sigma_dPsi>
<dEpsilon>-0.008280</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>55087.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.273682</X>
<sigma_X>0.000060</sigma_X>
<Y>0.383440</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.072542</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.008431</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>55105.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.266874</X>
<sigma_X>0.000060</sigma_X>
<Y>0.331042</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.071318</dPsi>
<sigma_dPsi>0.000178</sigma_dPsi>
<dEpsilon>-0.007807</dEpsilon>
<sigma_dEpsilon>0.000082</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>55123.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.251035</X>
<sigma_X>0.000060</sigma_X>
<Y>0.285042</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.070221</dPsi>
<sigma_dPsi>0.000231</sigma_dPsi>
<dEpsilon>-0.007357</dEpsilon>
<sigma_dEpsilon>0.000092</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>55142.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.228703</X>
<sigma_X>0.000061</sigma_X>
<Y>0.243521</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067996</dPsi>
<sigma_dPsi>0.000216</sigma_dPsi>
<dEpsilon>-0.006490</dEpsilon>
<sigma_dEpsilon>0.000097</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>55160.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.184660</X>
<sigma_X>0.000061</sigma_X>
<Y>0.213653</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065636</dPsi>
<sigma_dPsi>0.000226</sigma_dPsi>
<dEpsilon>-0.005758</dEpsilon>
<sigma_dEpsilon>0.000092</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2009</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>55178.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.137054</X>
<sigma_X>0.000059</sigma_X>
<Y>0.196640</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065580</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.005131</dEpsilon>
<sigma_dEpsilon>0.000075</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>55197.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.099910</X>
<sigma_X>0.000063</sigma_X>
<Y>0.192675</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.064800</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.005053</dEpsilon>
<sigma_dEpsilon>0.000085</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>55215.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.045952</X>
<sigma_X>0.000070</sigma_X>
<Y>0.195858</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.064073</dPsi>
<sigma_dPsi>0.000146</sigma_dPsi>
<dEpsilon>-0.004824</dEpsilon>
<sigma_dEpsilon>0.000070</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>55233.525</MJD>
</time>
<dataEOP>
<pole>
<X>-0.001031</X>
<sigma_X>0.000068</sigma_X>
<Y>0.212709</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.064643</dPsi>
<sigma_dPsi>0.000543</sigma_dPsi>
<dEpsilon>-0.005731</dEpsilon>
<sigma_dEpsilon>0.000296</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>55251.787</MJD>
</time>
<dataEOP>
<pole>
<X>-0.030101</X>
<sigma_X>0.000068</sigma_X>
<Y>0.245328</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065436</dPsi>
<sigma_dPsi>0.000261</sigma_dPsi>
<dEpsilon>-0.006795</dEpsilon>
<sigma_dEpsilon>0.000128</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>55270.050</MJD>
</time>
<dataEOP>
<pole>
<X>-0.049715</X>
<sigma_X>0.000068</sigma_X>
<Y>0.281612</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063026</dPsi>
<sigma_dPsi>0.000191</sigma_dPsi>
<dEpsilon>-0.007532</dEpsilon>
<sigma_dEpsilon>0.000098</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>55288.312</MJD>
</time>
<dataEOP>
<pole>
<X>-0.062024</X>
<sigma_X>0.000068</sigma_X>
<Y>0.321060</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.063056</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.008929</dEpsilon>
<sigma_dEpsilon>0.000089</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>55306.575</MJD>
</time>
<dataEOP>
<pole>
<X>-0.070255</X>
<sigma_X>0.000067</sigma_X>
<Y>0.364493</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062210</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.009899</dEpsilon>
<sigma_dEpsilon>0.000085</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>55324.837</MJD>
</time>
<dataEOP>
<pole>
<X>-0.061779</X>
<sigma_X>0.000067</sigma_X>
<Y>0.406051</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.061293</dPsi>
<sigma_dPsi>0.000226</sigma_dPsi>
<dEpsilon>-0.010255</dEpsilon>
<sigma_dEpsilon>0.000114</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>55343.100</MJD>
</time>
<dataEOP>
<pole>
<X>-0.032891</X>
<sigma_X>0.000067</sigma_X>
<Y>0.442211</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.062995</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.010044</dEpsilon>
<sigma_dEpsilon>0.000085</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>55361.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.006210</X>
<sigma_X>0.000067</sigma_X>
<Y>0.471310</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065069</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.010224</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>55379.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.064442</X>
<sigma_X>0.000067</sigma_X>
<Y>0.483427</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067358</dPsi>
<sigma_dPsi>0.000327</sigma_dPsi>
<dEpsilon>-0.009864</dEpsilon>
<sigma_dEpsilon>0.000166</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>55397.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.113161</X>
<sigma_X>0.000068</sigma_X>
<Y>0.479448</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.071069</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.009570</dEpsilon>
<sigma_dEpsilon>0.000102</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>55416.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.153669</X>
<sigma_X>0.000067</sigma_X>
<Y>0.459384</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.073686</dPsi>
<sigma_dPsi>0.000206</sigma_dPsi>
<dEpsilon>-0.009825</dEpsilon>
<sigma_dEpsilon>0.000097</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>55434.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.197294</X>
<sigma_X>0.000067</sigma_X>
<Y>0.433802</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.074665</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.008905</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>55452.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.223006</X>
<sigma_X>0.000069</sigma_X>
<Y>0.401971</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.076296</dPsi>
<sigma_dPsi>0.000206</sigma_dPsi>
<dEpsilon>-0.009035</dEpsilon>
<sigma_dEpsilon>0.000102</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>55470.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.235099</X>
<sigma_X>0.000068</sigma_X>
<Y>0.364435</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.075011</dPsi>
<sigma_dPsi>0.000194</sigma_dPsi>
<dEpsilon>-0.009493</dEpsilon>
<sigma_dEpsilon>0.000094</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>55489.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.232041</X>
<sigma_X>0.000067</sigma_X>
<Y>0.325213</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.072544</dPsi>
<sigma_dPsi>0.000493</sigma_dPsi>
<dEpsilon>-0.008518</dEpsilon>
<sigma_dEpsilon>0.000245</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>55507.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.217900</X>
<sigma_X>0.000069</sigma_X>
<Y>0.286151</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.070737</dPsi>
<sigma_dPsi>0.000365</sigma_dPsi>
<dEpsilon>-0.008165</dEpsilon>
<sigma_dEpsilon>0.000147</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>55525.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.200773</X>
<sigma_X>0.000068</sigma_X>
<Y>0.249068</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.069102</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.007112</dEpsilon>
<sigma_dEpsilon>0.000089</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2010</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>55543.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.174039</X>
<sigma_X>0.000068</sigma_X>
<Y>0.223949</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067732</dPsi>
<sigma_dPsi>0.000163</sigma_dPsi>
<dEpsilon>-0.006562</dEpsilon>
<sigma_dEpsilon>0.000082</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>55562.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.131874</X>
<sigma_X>0.000071</sigma_X>
<Y>0.204039</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.068062</dPsi>
<sigma_dPsi>0.000191</sigma_dPsi>
<dEpsilon>-0.005957</dEpsilon>
<sigma_dEpsilon>0.000092</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>55580.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.077054</X>
<sigma_X>0.000072</sigma_X>
<Y>0.194892</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067817</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.006590</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>55598.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.037975</X>
<sigma_X>0.000073</sigma_X>
<Y>0.204607</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067264</dPsi>
<sigma_dPsi>0.000289</sigma_dPsi>
<dEpsilon>-0.006583</dEpsilon>
<sigma_dEpsilon>0.000144</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>55617.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.010446</X>
<sigma_X>0.000073</sigma_X>
<Y>0.223534</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067379</dPsi>
<sigma_dPsi>0.000307</sigma_dPsi>
<dEpsilon>-0.007952</dEpsilon>
<sigma_dEpsilon>0.000151</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>55635.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.014848</X>
<sigma_X>0.000075</sigma_X>
<Y>0.249756</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.067130</dPsi>
<sigma_dPsi>0.000696</sigma_dPsi>
<dEpsilon>-0.009371</dEpsilon>
<sigma_dEpsilon>0.000290</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>55653.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.035648</X>
<sigma_X>0.000071</sigma_X>
<Y>0.280465</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065502</dPsi>
<sigma_dPsi>0.000171</sigma_dPsi>
<dEpsilon>-0.009869</dEpsilon>
<sigma_dEpsilon>0.000085</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>55671.825</MJD>
</time>
<dataEOP>
<pole>
<X>-0.045400</X>
<sigma_X>0.000073</sigma_X>
<Y>0.317937</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065421</dPsi>
<sigma_dPsi>0.000214</sigma_dPsi>
<dEpsilon>-0.011079</dEpsilon>
<sigma_dEpsilon>0.000101</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>55690.087</MJD>
</time>
<dataEOP>
<pole>
<X>-0.040431</X>
<sigma_X>0.000073</sigma_X>
<Y>0.358555</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065073</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.011893</dEpsilon>
<sigma_dEpsilon>0.000079</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>55708.350</MJD>
</time>
<dataEOP>
<pole>
<X>-0.022026</X>
<sigma_X>0.000071</sigma_X>
<Y>0.394907</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.065426</dPsi>
<sigma_dPsi>0.000528</sigma_dPsi>
<dEpsilon>-0.011696</dEpsilon>
<sigma_dEpsilon>0.000306</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>55726.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.011715</X>
<sigma_X>0.000072</sigma_X>
<Y>0.421459</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.068265</dPsi>
<sigma_dPsi>0.000352</sigma_dPsi>
<dEpsilon>-0.010982</dEpsilon>
<sigma_dEpsilon>0.000196</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>55744.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.046349</X>
<sigma_X>0.000073</sigma_X>
<Y>0.436618</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.070716</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.011237</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>55763.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.082670</X>
<sigma_X>0.000073</sigma_X>
<Y>0.448058</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.073941</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.010974</dEpsilon>
<sigma_dEpsilon>0.000101</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>55781.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.120699</X>
<sigma_X>0.000074</sigma_X>
<Y>0.442093</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.076993</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.010775</dEpsilon>
<sigma_dEpsilon>0.000098</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>55799.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.151432</X>
<sigma_X>0.000075</sigma_X>
<Y>0.427201</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.078555</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.011206</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>55817.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.178142</X>
<sigma_X>0.000073</sigma_X>
<Y>0.405746</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.078959</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.010120</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>55836.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.181743</X>
<sigma_X>0.000073</sigma_X>
<Y>0.376137</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.078764</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.010155</dEpsilon>
<sigma_dEpsilon>0.000093</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>55854.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.186463</X>
<sigma_X>0.000074</sigma_X>
<Y>0.347472</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.076937</dPsi>
<sigma_dPsi>0.000101</sigma_dPsi>
<dEpsilon>-0.010343</dEpsilon>
<sigma_dEpsilon>0.000043</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>55872.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.185627</X>
<sigma_X>0.000075</sigma_X>
<Y>0.317439</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.074579</dPsi>
<sigma_dPsi>0.001579</sigma_dPsi>
<dEpsilon>-0.009057</dEpsilon>
<sigma_dEpsilon>0.000886</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>55890.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.168458</X>
<sigma_X>0.000074</sigma_X>
<Y>0.292046</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.072611</dPsi>
<sigma_dPsi>0.000121</sigma_dPsi>
<dEpsilon>-0.008547</dEpsilon>
<sigma_dEpsilon>0.000054</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2011</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>55909.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.149713</X>
<sigma_X>0.000073</sigma_X>
<Y>0.276348</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.071762</dPsi>
<sigma_dPsi>0.000196</sigma_dPsi>
<dEpsilon>-0.007925</dEpsilon>
<sigma_dEpsilon>0.000099</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>55927.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.119250</X>
<sigma_X>0.000072</sigma_X>
<Y>0.263262</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.071500</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.007405</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>55945.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.086350</X>
<sigma_X>0.000073</sigma_X>
<Y>0.254891</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.072029</dPsi>
<sigma_dPsi>0.000178</sigma_dPsi>
<dEpsilon>-0.007187</dEpsilon>
<sigma_dEpsilon>0.000068</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>55964.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.047531</X>
<sigma_X>0.000074</sigma_X>
<Y>0.255350</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.071558</dPsi>
<sigma_dPsi>0.000156</sigma_dPsi>
<dEpsilon>-0.008507</dEpsilon>
<sigma_dEpsilon>0.000060</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>55982.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.023729</X>
<sigma_X>0.000074</sigma_X>
<Y>0.268970</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.071573</dPsi>
<sigma_dPsi>0.000551</sigma_dPsi>
<dEpsilon>-0.008884</dEpsilon>
<sigma_dEpsilon>0.000188</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>56000.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.007285</X>
<sigma_X>0.000071</sigma_X>
<Y>0.288732</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.070919</dPsi>
<sigma_dPsi>0.000473</sigma_dPsi>
<dEpsilon>-0.010427</dEpsilon>
<sigma_dEpsilon>0.000143</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>56018.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.011163</X>
<sigma_X>0.000073</sigma_X>
<Y>0.313295</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.069629</dPsi>
<sigma_dPsi>0.000209</sigma_dPsi>
<dEpsilon>-0.011405</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>56037.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.003802</X>
<sigma_X>0.000074</sigma_X>
<Y>0.350654</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.069380</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.011778</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>56055.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.015509</X>
<sigma_X>0.000072</sigma_X>
<Y>0.378798</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.069720</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.012433</dEpsilon>
<sigma_dEpsilon>0.000068</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>56073.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.039083</X>
<sigma_X>0.000072</sigma_X>
<Y>0.392747</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.070586</dPsi>
<sigma_dPsi>0.000178</sigma_dPsi>
<dEpsilon>-0.012932</dEpsilon>
<sigma_dEpsilon>0.000070</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>56091.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.064065</X>
<sigma_X>0.000073</sigma_X>
<Y>0.403471</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.072241</dPsi>
<sigma_dPsi>0.000178</sigma_dPsi>
<dEpsilon>-0.012303</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>56110.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.095058</X>
<sigma_X>0.000072</sigma_X>
<Y>0.408811</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.075797</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.011833</dEpsilon>
<sigma_dEpsilon>0.000067</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>56128.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.127769</X>
<sigma_X>0.000073</sigma_X>
<Y>0.405733</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.077928</dPsi>
<sigma_dPsi>0.000171</sigma_dPsi>
<dEpsilon>-0.012111</dEpsilon>
<sigma_dEpsilon>0.000067</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>56146.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.152615</X>
<sigma_X>0.000074</sigma_X>
<Y>0.396410</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.081127</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.012083</dEpsilon>
<sigma_dEpsilon>0.000066</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>56164.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.174343</X>
<sigma_X>0.000075</sigma_X>
<Y>0.380663</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.082358</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.011903</dEpsilon>
<sigma_dEpsilon>0.000067</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>56183.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.176830</X>
<sigma_X>0.000073</sigma_X>
<Y>0.356830</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.082798</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.012142</dEpsilon>
<sigma_dEpsilon>0.000067</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>56201.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.170670</X>
<sigma_X>0.000074</sigma_X>
<Y>0.334931</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.082607</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.011099</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>56219.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.150630</X>
<sigma_X>0.000072</sigma_X>
<Y>0.316396</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.080972</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.010872</dEpsilon>
<sigma_dEpsilon>0.000064</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>56237.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.139001</X>
<sigma_X>0.000071</sigma_X>
<Y>0.308589</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.078726</dPsi>
<sigma_dPsi>0.000194</sigma_dPsi>
<dEpsilon>-0.010455</dEpsilon>
<sigma_dEpsilon>0.000146</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>56256.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.123030</X>
<sigma_X>0.000071</sigma_X>
<Y>0.302018</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.077369</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.009364</dEpsilon>
<sigma_dEpsilon>0.000061</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>56274.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.104053</X>
<sigma_X>0.000071</sigma_X>
<Y>0.295970</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.075642</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.008870</dEpsilon>
<sigma_dEpsilon>0.000068</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>56292.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.076705</X>
<sigma_X>0.000073</sigma_X>
<Y>0.289510</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.075247</dPsi>
<sigma_dPsi>0.000191</sigma_dPsi>
<dEpsilon>-0.008716</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>56311.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.053746</X>
<sigma_X>0.000072</sigma_X>
<Y>0.298932</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.076123</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.008477</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>56329.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.039352</X>
<sigma_X>0.000073</sigma_X>
<Y>0.316425</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.076519</dPsi>
<sigma_dPsi>0.000219</sigma_dPsi>
<dEpsilon>-0.009077</dEpsilon>
<sigma_dEpsilon>0.000089</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>56347.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.030867</X>
<sigma_X>0.000072</sigma_X>
<Y>0.333752</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.075750</dPsi>
<sigma_dPsi>0.000219</sigma_dPsi>
<dEpsilon>-0.010473</dEpsilon>
<sigma_dEpsilon>0.000086</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>56365.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.039365</X>
<sigma_X>0.000072</sigma_X>
<Y>0.354982</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.075682</dPsi>
<sigma_dPsi>0.000216</sigma_dPsi>
<dEpsilon>-0.011443</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>56384.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.051202</X>
<sigma_X>0.000074</sigma_X>
<Y>0.375073</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.074674</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.012555</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>56402.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.058999</X>
<sigma_X>0.000071</sigma_X>
<Y>0.389810</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.073662</dPsi>
<sigma_dPsi>0.000234</sigma_dPsi>
<dEpsilon>-0.012953</dEpsilon>
<sigma_dEpsilon>0.000096</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>56420.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.079487</X>
<sigma_X>0.000073</sigma_X>
<Y>0.400017</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.074607</dPsi>
<sigma_dPsi>0.000209</sigma_dPsi>
<dEpsilon>-0.013059</dEpsilon>
<sigma_dEpsilon>0.000097</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>56438.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.102362</X>
<sigma_X>0.000073</sigma_X>
<Y>0.407077</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.075889</dPsi>
<sigma_dPsi>0.000598</sigma_dPsi>
<dEpsilon>-0.013393</dEpsilon>
<sigma_dEpsilon>0.000250</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>56457.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.122724</X>
<sigma_X>0.000073</sigma_X>
<Y>0.400321</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.078102</dPsi>
<sigma_dPsi>0.000219</sigma_dPsi>
<dEpsilon>-0.013442</dEpsilon>
<sigma_dEpsilon>0.000096</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>56475.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.144365</X>
<sigma_X>0.000074</sigma_X>
<Y>0.389963</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.081009</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.013030</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>56493.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.163756</X>
<sigma_X>0.000075</sigma_X>
<Y>0.373228</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.084168</dPsi>
<sigma_dPsi>0.000216</sigma_dPsi>
<dEpsilon>-0.013003</dEpsilon>
<sigma_dEpsilon>0.000096</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>56511.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.173256</X>
<sigma_X>0.000075</sigma_X>
<Y>0.354525</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.085731</dPsi>
<sigma_dPsi>0.000211</sigma_dPsi>
<dEpsilon>-0.012876</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>56530.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.169671</X>
<sigma_X>0.000074</sigma_X>
<Y>0.333022</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.088276</dPsi>
<sigma_dPsi>0.000209</sigma_dPsi>
<dEpsilon>-0.012971</dEpsilon>
<sigma_dEpsilon>0.000086</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>56548.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.159637</X>
<sigma_X>0.000075</sigma_X>
<Y>0.310481</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.088041</dPsi>
<sigma_dPsi>0.000219</sigma_dPsi>
<dEpsilon>-0.012837</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>56566.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.134029</X>
<sigma_X>0.000076</sigma_X>
<Y>0.293994</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.087260</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.012854</dEpsilon>
<sigma_dEpsilon>0.000108</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>56584.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.105002</X>
<sigma_X>0.000074</sigma_X>
<Y>0.282905</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.086438</dPsi>
<sigma_dPsi>0.000194</sigma_dPsi>
<dEpsilon>-0.011762</dEpsilon>
<sigma_dEpsilon>0.000082</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>56603.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.080936</X>
<sigma_X>0.000074</sigma_X>
<Y>0.285267</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.084166</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.011291</dEpsilon>
<sigma_dEpsilon>0.000093</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>56621.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.060110</X>
<sigma_X>0.000074</sigma_X>
<Y>0.290371</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.082138</dPsi>
<sigma_dPsi>0.000269</sigma_dPsi>
<dEpsilon>-0.010421</dEpsilon>
<sigma_dEpsilon>0.000113</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>56639.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.054514</X>
<sigma_X>0.000075</sigma_X>
<Y>0.305732</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.082297</dPsi>
<sigma_dPsi>0.000158</sigma_dPsi>
<dEpsilon>-0.009683</dEpsilon>
<sigma_dEpsilon>0.000068</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>56658.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.038841</X>
<sigma_X>0.000074</sigma_X>
<Y>0.317819</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.081352</dPsi>
<sigma_dPsi>0.000254</sigma_dPsi>
<dEpsilon>-0.009495</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>56676.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.026220</X>
<sigma_X>0.000072</sigma_X>
<Y>0.335453</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.081067</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.009619</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>56694.525</MJD>
</time>
<dataEOP>
<pole>
<X>0.023929</X>
<sigma_X>0.000072</sigma_X>
<Y>0.354410</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.082065</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.009918</dEpsilon>
<sigma_dEpsilon>0.000080</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>56712.787</MJD>
</time>
<dataEOP>
<pole>
<X>0.019856</X>
<sigma_X>0.000072</sigma_X>
<Y>0.381450</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.081614</dPsi>
<sigma_dPsi>0.000385</sigma_dPsi>
<dEpsilon>-0.011176</dEpsilon>
<sigma_dEpsilon>0.000147</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>56731.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.022009</X>
<sigma_X>0.000075</sigma_X>
<Y>0.401536</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.080485</dPsi>
<sigma_dPsi>0.000279</sigma_dPsi>
<dEpsilon>-0.012175</dEpsilon>
<sigma_dEpsilon>0.000113</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>56749.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.042922</X>
<sigma_X>0.000073</sigma_X>
<Y>0.421447</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.080266</dPsi>
<sigma_dPsi>0.000246</sigma_dPsi>
<dEpsilon>-0.013156</dEpsilon>
<sigma_dEpsilon>0.000099</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>56767.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.061849</X>
<sigma_X>0.000070</sigma_X>
<Y>0.436636</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.079785</dPsi>
<sigma_dPsi>0.000239</sigma_dPsi>
<dEpsilon>-0.013885</dEpsilon>
<sigma_dEpsilon>0.000102</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>56785.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.089650</X>
<sigma_X>0.000069</sigma_X>
<Y>0.446192</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.079395</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.014089</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>56804.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.118318</X>
<sigma_X>0.000070</sigma_X>
<Y>0.446208</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.081308</dPsi>
<sigma_dPsi>0.000211</sigma_dPsi>
<dEpsilon>-0.013588</dEpsilon>
<sigma_dEpsilon>0.000086</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>56822.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.150385</X>
<sigma_X>0.000069</sigma_X>
<Y>0.432751</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.083143</dPsi>
<sigma_dPsi>0.000244</sigma_dPsi>
<dEpsilon>-0.013875</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>56840.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.172401</X>
<sigma_X>0.000069</sigma_X>
<Y>0.414541</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.085784</dPsi>
<sigma_dPsi>0.000211</sigma_dPsi>
<dEpsilon>-0.013595</dEpsilon>
<sigma_dEpsilon>0.000087</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>56858.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.186674</X>
<sigma_X>0.000071</sigma_X>
<Y>0.393678</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.089186</dPsi>
<sigma_dPsi>0.000221</sigma_dPsi>
<dEpsilon>-0.013448</dEpsilon>
<sigma_dEpsilon>0.000089</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>56877.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.201926</X>
<sigma_X>0.000071</sigma_X>
<Y>0.372557</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.091714</dPsi>
<sigma_dPsi>0.000302</sigma_dPsi>
<dEpsilon>-0.013479</dEpsilon>
<sigma_dEpsilon>0.000115</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>56895.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.210120</X>
<sigma_X>0.000070</sigma_X>
<Y>0.347669</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.092680</dPsi>
<sigma_dPsi>0.000274</sigma_dPsi>
<dEpsilon>-0.013028</dEpsilon>
<sigma_dEpsilon>0.000110</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>56913.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.204759</X>
<sigma_X>0.000072</sigma_X>
<Y>0.316043</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.094471</dPsi>
<sigma_dPsi>0.000256</sigma_dPsi>
<dEpsilon>-0.012831</dEpsilon>
<sigma_dEpsilon>0.000113</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>56931.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.188148</X>
<sigma_X>0.000072</sigma_X>
<Y>0.288389</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.093232</dPsi>
<sigma_dPsi>0.000246</sigma_dPsi>
<dEpsilon>-0.013002</dEpsilon>
<sigma_dEpsilon>0.000096</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>56950.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.155253</X>
<sigma_X>0.000070</sigma_X>
<Y>0.265609</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.091052</dPsi>
<sigma_dPsi>0.000214</sigma_dPsi>
<dEpsilon>-0.012672</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>56968.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.121900</X>
<sigma_X>0.000071</sigma_X>
<Y>0.252447</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.090193</dPsi>
<sigma_dPsi>0.000380</sigma_dPsi>
<dEpsilon>-0.011334</dEpsilon>
<sigma_dEpsilon>0.000157</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>56986.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.089465</X>
<sigma_X>0.000071</sigma_X>
<Y>0.254558</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.088293</dPsi>
<sigma_dPsi>0.000304</sigma_dPsi>
<dEpsilon>-0.010845</dEpsilon>
<sigma_dEpsilon>0.000124</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57004.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.056486</X>
<sigma_X>0.000071</sigma_X>
<Y>0.267631</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.087052</dPsi>
<sigma_dPsi>0.000266</sigma_dPsi>
<dEpsilon>-0.010068</dEpsilon>
<sigma_dEpsilon>0.000108</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57023.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.031455</X>
<sigma_X>0.000071</sigma_X>
<Y>0.280236</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.088027</dPsi>
<sigma_dPsi>0.000437</sigma_dPsi>
<dEpsilon>-0.009570</dEpsilon>
<sigma_dEpsilon>0.000170</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57041.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.010920</X>
<sigma_X>0.000070</sigma_X>
<Y>0.295193</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.087889</dPsi>
<sigma_dPsi>0.000216</sigma_dPsi>
<dEpsilon>-0.009818</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>57059.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.002456</X>
<sigma_X>0.000069</sigma_X>
<Y>0.321841</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.087542</dPsi>
<sigma_dPsi>0.000367</sigma_dPsi>
<dEpsilon>-0.010323</dEpsilon>
<sigma_dEpsilon>0.000167</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57078.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.003247</X>
<sigma_X>0.000071</sigma_X>
<Y>0.349176</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.088179</dPsi>
<sigma_dPsi>0.000239</sigma_dPsi>
<dEpsilon>-0.010960</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57096.300</MJD>
</time>
<dataEOP>
<pole>
<X>0.003534</X>
<sigma_X>0.000070</sigma_X>
<Y>0.374551</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.087007</dPsi>
<sigma_dPsi>0.000209</sigma_dPsi>
<dEpsilon>-0.012256</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57114.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.015569</X>
<sigma_X>0.000069</sigma_X>
<Y>0.398661</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.086057</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.013022</dEpsilon>
<sigma_dEpsilon>0.000085</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57132.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.027649</X>
<sigma_X>0.000069</sigma_X>
<Y>0.420070</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.086514</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.013596</dEpsilon>
<sigma_dEpsilon>0.000086</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>57151.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.046922</X>
<sigma_X>0.000070</sigma_X>
<Y>0.441027</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.086790</dPsi>
<sigma_dPsi>0.000249</sigma_dPsi>
<dEpsilon>-0.014185</dEpsilon>
<sigma_dEpsilon>0.000105</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>57169.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.080802</X>
<sigma_X>0.000068</sigma_X>
<Y>0.452983</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.087382</dPsi>
<sigma_dPsi>0.000206</sigma_dPsi>
<dEpsilon>-0.014158</dEpsilon>
<sigma_dEpsilon>0.000088</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>57187.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.108235</X>
<sigma_X>0.000069</sigma_X>
<Y>0.455042</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.090095</dPsi>
<sigma_dPsi>0.000332</sigma_dPsi>
<dEpsilon>-0.013258</dEpsilon>
<sigma_dEpsilon>0.000142</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57205.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.144758</X>
<sigma_X>0.000068</sigma_X>
<Y>0.447415</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.092597</dPsi>
<sigma_dPsi>0.000633</sigma_dPsi>
<dEpsilon>-0.013459</dEpsilon>
<sigma_dEpsilon>0.000263</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57224.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.178502</X>
<sigma_X>0.000068</sigma_X>
<Y>0.432075</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.095232</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.013386</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>57242.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.207976</X>
<sigma_X>0.000069</sigma_X>
<Y>0.409792</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.098234</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.013313</dEpsilon>
<sigma_dEpsilon>0.000086</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>57260.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.224577</X>
<sigma_X>0.000071</sigma_X>
<Y>0.379407</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.099774</dPsi>
<sigma_dPsi>0.000201</sigma_dPsi>
<dEpsilon>-0.013132</dEpsilon>
<sigma_dEpsilon>0.000086</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>57278.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.225185</X>
<sigma_X>0.000070</sigma_X>
<Y>0.350435</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.099719</dPsi>
<sigma_dPsi>0.000211</sigma_dPsi>
<dEpsilon>-0.012679</dEpsilon>
<sigma_dEpsilon>0.000088</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>57297.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.211973</X>
<sigma_X>0.000068</sigma_X>
<Y>0.315366</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.100205</dPsi>
<sigma_dPsi>0.000206</sigma_dPsi>
<dEpsilon>-0.012111</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>57315.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.187202</X>
<sigma_X>0.000069</sigma_X>
<Y>0.285245</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.098211</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.012237</dEpsilon>
<sigma_dEpsilon>0.000079</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>57333.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.156575</X>
<sigma_X>0.000069</sigma_X>
<Y>0.265606</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.095854</dPsi>
<sigma_dPsi>0.000226</sigma_dPsi>
<dEpsilon>-0.011453</dEpsilon>
<sigma_dEpsilon>0.000101</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>57351.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.122062</X>
<sigma_X>0.000070</sigma_X>
<Y>0.254753</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.095082</dPsi>
<sigma_dPsi>0.000324</sigma_dPsi>
<dEpsilon>-0.010304</dEpsilon>
<sigma_dEpsilon>0.000119</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57370.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.090897</X>
<sigma_X>0.000070</sigma_X>
<Y>0.250849</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.093711</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.009932</dEpsilon>
<sigma_dEpsilon>0.000080</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57388.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.052020</X>
<sigma_X>0.000070</sigma_X>
<Y>0.256858</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.093329</dPsi>
<sigma_dPsi>0.000284</sigma_dPsi>
<dEpsilon>-0.009502</dEpsilon>
<sigma_dEpsilon>0.000098</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57406.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.019624</X>
<sigma_X>0.000069</sigma_X>
<Y>0.282671</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.094034</dPsi>
<sigma_dPsi>0.000231</sigma_dPsi>
<dEpsilon>-0.009262</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>57425.025</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008060</X>
<sigma_X>0.000069</sigma_X>
<Y>0.308589</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.094092</dPsi>
<sigma_dPsi>0.000277</sigma_dPsi>
<dEpsilon>-0.009909</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57443.287</MJD>
</time>
<dataEOP>
<pole>
<X>-0.021261</X>
<sigma_X>0.000070</sigma_X>
<Y>0.343483</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.093455</dPsi>
<sigma_dPsi>0.000251</sigma_dPsi>
<dEpsilon>-0.011017</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57461.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.022422</X>
<sigma_X>0.000068</sigma_X>
<Y>0.383172</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.093677</dPsi>
<sigma_dPsi>0.000274</sigma_dPsi>
<dEpsilon>-0.011893</dEpsilon>
<sigma_dEpsilon>0.000087</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57479.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.007500</X>
<sigma_X>0.000068</sigma_X>
<Y>0.421880</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.092334</dPsi>
<sigma_dPsi>0.000302</sigma_dPsi>
<dEpsilon>-0.012716</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57498.075</MJD>
</time>
<dataEOP>
<pole>
<X>0.017592</X>
<sigma_X>0.000069</sigma_X>
<Y>0.455349</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.091890</dPsi>
<sigma_dPsi>0.000332</sigma_dPsi>
<dEpsilon>-0.013316</dEpsilon>
<sigma_dEpsilon>0.000106</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>57516.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.046592</X>
<sigma_X>0.000069</sigma_X>
<Y>0.481281</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.093286</dPsi>
<sigma_dPsi>0.000397</sigma_dPsi>
<dEpsilon>-0.013557</dEpsilon>
<sigma_dEpsilon>0.000133</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>57534.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.079787</X>
<sigma_X>0.000068</sigma_X>
<Y>0.495401</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.094244</dPsi>
<sigma_dPsi>0.000548</sigma_dPsi>
<dEpsilon>-0.013835</dEpsilon>
<sigma_dEpsilon>0.000185</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>57552.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.114659</X>
<sigma_X>0.000067</sigma_X>
<Y>0.495609</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.096369</dPsi>
<sigma_dPsi>0.000287</sigma_dPsi>
<dEpsilon>-0.013483</dEpsilon>
<sigma_dEpsilon>0.000094</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57571.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.153549</X>
<sigma_X>0.000068</sigma_X>
<Y>0.483371</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.099666</dPsi>
<sigma_dPsi>0.000307</sigma_dPsi>
<dEpsilon>-0.012903</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57589.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.193563</X>
<sigma_X>0.000068</sigma_X>
<Y>0.462532</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.102273</dPsi>
<sigma_dPsi>0.000294</sigma_dPsi>
<dEpsilon>-0.013026</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>57607.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.219684</X>
<sigma_X>0.000069</sigma_X>
<Y>0.440463</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.104230</dPsi>
<sigma_dPsi>0.000365</sigma_dPsi>
<dEpsilon>-0.013208</dEpsilon>
<sigma_dEpsilon>0.000108</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>57625.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.231469</X>
<sigma_X>0.000070</sigma_X>
<Y>0.403235</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106257</dPsi>
<sigma_dPsi>0.000299</sigma_dPsi>
<dEpsilon>-0.013038</dEpsilon>
<sigma_dEpsilon>0.000097</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>57644.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.236263</X>
<sigma_X>0.000067</sigma_X>
<Y>0.369260</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106348</dPsi>
<sigma_dPsi>0.000299</sigma_dPsi>
<dEpsilon>-0.012786</dEpsilon>
<sigma_dEpsilon>0.000096</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>57662.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.232058</X>
<sigma_X>0.000068</sigma_X>
<Y>0.332284</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.105434</dPsi>
<sigma_dPsi>0.000282</sigma_dPsi>
<dEpsilon>-0.012117</dEpsilon>
<sigma_dEpsilon>0.000094</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>57680.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.209720</X>
<sigma_X>0.000068</sigma_X>
<Y>0.301447</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.104395</dPsi>
<sigma_dPsi>0.000520</sigma_dPsi>
<dEpsilon>-0.011535</dEpsilon>
<sigma_dEpsilon>0.000196</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>57698.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.179447</X>
<sigma_X>0.000067</sigma_X>
<Y>0.278386</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.102407</dPsi>
<sigma_dPsi>0.000236</sigma_dPsi>
<dEpsilon>-0.011212</dEpsilon>
<sigma_dEpsilon>0.000073</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>57717.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.141589</X>
<sigma_X>0.000068</sigma_X>
<Y>0.268561</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.100737</dPsi>
<sigma_dPsi>0.000284</sigma_dPsi>
<dEpsilon>-0.010092</dEpsilon>
<sigma_dEpsilon>0.000091</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57735.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.114999</X>
<sigma_X>0.000069</sigma_X>
<Y>0.266521</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.100498</dPsi>
<sigma_dPsi>0.000271</sigma_dPsi>
<dEpsilon>-0.009338</dEpsilon>
<sigma_dEpsilon>0.000085</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57753.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.084082</X>
<sigma_X>0.000069</sigma_X>
<Y>0.263962</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.099201</dPsi>
<sigma_dPsi>0.000322</sigma_dPsi>
<dEpsilon>-0.009142</dEpsilon>
<sigma_dEpsilon>0.000111</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57772.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.052464</X>
<sigma_X>0.000069</sigma_X>
<Y>0.271092</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.099476</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.008993</dEpsilon>
<sigma_dEpsilon>0.000074</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>57790.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.025501</X>
<sigma_X>0.000072</sigma_X>
<Y>0.288688</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.100013</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.009387</dEpsilon>
<sigma_dEpsilon>0.000082</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>57808.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.005747</X>
<sigma_X>0.000069</sigma_X>
<Y>0.312861</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.099360</dPsi>
<sigma_dPsi>0.000234</sigma_dPsi>
<dEpsilon>-0.010542</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57826.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.004510</X>
<sigma_X>0.000069</sigma_X>
<Y>0.345267</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.098354</dPsi>
<sigma_dPsi>0.000194</sigma_dPsi>
<dEpsilon>-0.011789</dEpsilon>
<sigma_dEpsilon>0.000079</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57845.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.006221</X>
<sigma_X>0.000070</sigma_X>
<Y>0.377993</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.098631</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.012636</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57863.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.023757</X>
<sigma_X>0.000068</sigma_X>
<Y>0.410589</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.097509</dPsi>
<sigma_dPsi>0.000271</sigma_dPsi>
<dEpsilon>-0.012987</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>57881.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.049992</X>
<sigma_X>0.000068</sigma_X>
<Y>0.440808</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.097779</dPsi>
<sigma_dPsi>0.000156</sigma_dPsi>
<dEpsilon>-0.013087</dEpsilon>
<sigma_dEpsilon>0.000064</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>57899.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.085526</X>
<sigma_X>0.000067</sigma_X>
<Y>0.456073</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.100288</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.013115</dEpsilon>
<sigma_dEpsilon>0.000077</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>57918.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.115793</X>
<sigma_X>0.000066</sigma_X>
<Y>0.457280</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.101623</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.013093</dEpsilon>
<sigma_dEpsilon>0.000079</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57936.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.159150</X>
<sigma_X>0.000067</sigma_X>
<Y>0.449591</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.104600</dPsi>
<sigma_dPsi>0.000724</sigma_dPsi>
<dEpsilon>-0.012620</dEpsilon>
<sigma_dEpsilon>0.000317</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57954.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.197580</X>
<sigma_X>0.000067</sigma_X>
<Y>0.430198</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.108142</dPsi>
<sigma_dPsi>0.000141</sigma_dPsi>
<dEpsilon>-0.012561</dEpsilon>
<sigma_dEpsilon>0.000060</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>57972.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.218057</X>
<sigma_X>0.000068</sigma_X>
<Y>0.400462</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109780</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.012622</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>57991.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.232539</X>
<sigma_X>0.000066</sigma_X>
<Y>0.368754</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111063</dPsi>
<sigma_dPsi>0.000244</sigma_dPsi>
<dEpsilon>-0.012384</dEpsilon>
<sigma_dEpsilon>0.000113</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58009.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.238742</X>
<sigma_X>0.000068</sigma_X>
<Y>0.337812</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111976</dPsi>
<sigma_dPsi>0.000194</sigma_dPsi>
<dEpsilon>-0.012227</dEpsilon>
<sigma_dEpsilon>0.000081</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.224110</X>
<sigma_X>0.000069</sigma_X>
<Y>0.303743</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110354</dPsi>
<sigma_dPsi>0.000216</sigma_dPsi>
<dEpsilon>-0.012074</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.200700</X>
<sigma_X>0.000067</sigma_X>
<Y>0.273361</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109144</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.010929</dEpsilon>
<sigma_dEpsilon>0.000078</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58064.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.172954</X>
<sigma_X>0.000067</sigma_X>
<Y>0.251578</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107147</dPsi>
<sigma_dPsi>0.000422</sigma_dPsi>
<dEpsilon>-0.010329</dEpsilon>
<sigma_dEpsilon>0.000191</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58082.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.138353</X>
<sigma_X>0.000068</sigma_X>
<Y>0.238046</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.105374</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.009568</dEpsilon>
<sigma_dEpsilon>0.000052</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>58100.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.094220</X>
<sigma_X>0.000068</sigma_X>
<Y>0.235917</Y>
<sigma_Y>0.000058</sigma_Y>
</pole>
<nutation>
<dPsi>-0.104417</dPsi>
<sigma_dPsi>0.000141</sigma_dPsi>
<dEpsilon>-0.008498</dEpsilon>
<sigma_dEpsilon>0.000060</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.059853</X>
<sigma_X>0.000068</sigma_X>
<Y>0.246508</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.105062</dPsi>
<sigma_dPsi>0.000314</sigma_dPsi>
<dEpsilon>-0.007967</dEpsilon>
<sigma_dEpsilon>0.000118</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.034177</X>
<sigma_X>0.000071</sigma_X>
<Y>0.266974</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.103577</dPsi>
<sigma_dPsi>0.000153</sigma_dPsi>
<dEpsilon>-0.008190</dEpsilon>
<sigma_dEpsilon>0.000064</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155.525</MJD>
</time>
<dataEOP>
<pole>
<X>0.008362</X>
<sigma_X>0.000072</sigma_X>
<Y>0.296313</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.104101</dPsi>
<sigma_dPsi>0.000221</sigma_dPsi>
<dEpsilon>-0.008318</dEpsilon>
<sigma_dEpsilon>0.000094</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>58173.787</MJD>
</time>
<dataEOP>
<pole>
<X>0.001069</X>
<sigma_X>0.000072</sigma_X>
<Y>0.331583</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.104174</dPsi>
<sigma_dPsi>0.000158</sigma_dPsi>
<dEpsilon>-0.009417</dEpsilon>
<sigma_dEpsilon>0.000064</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>58192.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.012831</X>
<sigma_X>0.000072</sigma_X>
<Y>0.368611</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.102658</dPsi>
<sigma_dPsi>0.000214</sigma_dPsi>
<dEpsilon>-0.010625</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>58210.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.030962</X>
<sigma_X>0.000071</sigma_X>
<Y>0.395894</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.102188</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.011540</dEpsilon>
<sigma_dEpsilon>0.000075</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>58228.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.051534</X>
<sigma_X>0.000069</sigma_X>
<Y>0.425247</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.102732</dPsi>
<sigma_dPsi>0.000239</sigma_dPsi>
<dEpsilon>-0.012177</dEpsilon>
<sigma_dEpsilon>0.000103</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>58246.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.076830</X>
<sigma_X>0.000068</sigma_X>
<Y>0.442865</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.101950</dPsi>
<sigma_dPsi>0.000153</sigma_dPsi>
<dEpsilon>-0.012281</dEpsilon>
<sigma_dEpsilon>0.000060</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>58265.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.106798</X>
<sigma_X>0.000069</sigma_X>
<Y>0.447566</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.103196</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.011992</dEpsilon>
<sigma_dEpsilon>0.000067</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>58283.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.131123</X>
<sigma_X>0.000069</sigma_X>
<Y>0.444218</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106451</dPsi>
<sigma_dPsi>0.000151</sigma_dPsi>
<dEpsilon>-0.011895</dEpsilon>
<sigma_dEpsilon>0.000061</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>58301.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.165166</X>
<sigma_X>0.000069</sigma_X>
<Y>0.428592</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.108182</dPsi>
<sigma_dPsi>0.000246</sigma_dPsi>
<dEpsilon>-0.011823</dEpsilon>
<sigma_dEpsilon>0.000105</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>58319.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.191185</X>
<sigma_X>0.000070</sigma_X>
<Y>0.415544</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111449</dPsi>
<sigma_dPsi>0.000116</sigma_dPsi>
<dEpsilon>-0.011596</dEpsilon>
<sigma_dEpsilon>0.000044</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>58338.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.201132</X>
<sigma_X>0.000069</sigma_X>
<Y>0.397636</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114345</dPsi>
<sigma_dPsi>0.000631</sigma_dPsi>
<dEpsilon>-0.011773</dEpsilon>
<sigma_dEpsilon>0.000283</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>58356.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.209762</X>
<sigma_X>0.000070</sigma_X>
<Y>0.374682</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114794</dPsi>
<sigma_dPsi>0.000508</sigma_dPsi>
<dEpsilon>-0.011713</dEpsilon>
<sigma_dEpsilon>0.000229</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58374.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.212996</X>
<sigma_X>0.000071</sigma_X>
<Y>0.355259</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.115591</dPsi>
<sigma_dPsi>0.000246</sigma_dPsi>
<dEpsilon>-0.011030</dEpsilon>
<sigma_dEpsilon>0.000099</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58392.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.210119</X>
<sigma_X>0.000070</sigma_X>
<Y>0.330948</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114741</dPsi>
<sigma_dPsi>0.001212</sigma_dPsi>
<dEpsilon>-0.010925</dEpsilon>
<sigma_dEpsilon>0.000496</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58411.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.198460</X>
<sigma_X>0.000069</sigma_X>
<Y>0.309572</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112157</dPsi>
<sigma_dPsi>0.000900</sigma_dPsi>
<dEpsilon>-0.010321</dEpsilon>
<sigma_dEpsilon>0.000344</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58429.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.179261</X>
<sigma_X>0.000071</sigma_X>
<Y>0.290152</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111280</dPsi>
<sigma_dPsi>0.000214</sigma_dPsi>
<dEpsilon>-0.009118</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58447.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.158520</X>
<sigma_X>0.000070</sigma_X>
<Y>0.276520</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109288</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.008386</dEpsilon>
<sigma_dEpsilon>0.000066</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>58465.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.124247</X>
<sigma_X>0.000069</sigma_X>
<Y>0.269460</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107929</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.007732</dEpsilon>
<sigma_dEpsilon>0.000078</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58484.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.086692</X>
<sigma_X>0.000070</sigma_X>
<Y>0.270018</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107414</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.007226</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58502.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.062003</X>
<sigma_X>0.000072</sigma_X>
<Y>0.286694</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.108042</dPsi>
<sigma_dPsi>0.000111</sigma_dPsi>
<dEpsilon>-0.006985</dEpsilon>
<sigma_dEpsilon>0.000043</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58520.775</MJD>
</time>
<dataEOP>
<pole>
<X>0.044023</X>
<sigma_X>0.000072</sigma_X>
<Y>0.314060</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106450</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.007642</dEpsilon>
<sigma_dEpsilon>0.000048</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58539.037</MJD>
</time>
<dataEOP>
<pole>
<X>0.036890</X>
<sigma_X>0.000073</sigma_X>
<Y>0.338278</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106641</dPsi>
<sigma_dPsi>0.000138</sigma_dPsi>
<dEpsilon>-0.008271</dEpsilon>
<sigma_dEpsilon>0.000052</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>58557.300</MJD>
</time>
<dataEOP>
<pole>
<X>0.045497</X>
<sigma_X>0.000073</sigma_X>
<Y>0.363670</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.105838</dPsi>
<sigma_dPsi>0.000123</sigma_dPsi>
<dEpsilon>-0.009586</dEpsilon>
<sigma_dEpsilon>0.000046</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>58575.562</MJD>
</time>
<dataEOP>
<pole>
<X>0.048971</X>
<sigma_X>0.000071</sigma_X>
<Y>0.385156</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.104211</dPsi>
<sigma_dPsi>0.000121</sigma_dPsi>
<dEpsilon>-0.010280</dEpsilon>
<sigma_dEpsilon>0.000045</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>58593.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.059484</X>
<sigma_X>0.000071</sigma_X>
<Y>0.403548</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.104678</dPsi>
<sigma_dPsi>0.000126</sigma_dPsi>
<dEpsilon>-0.011108</dEpsilon>
<sigma_dEpsilon>0.000047</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>58612.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.081078</X>
<sigma_X>0.000072</sigma_X>
<Y>0.416176</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.104801</dPsi>
<sigma_dPsi>0.000116</sigma_dPsi>
<dEpsilon>-0.011513</dEpsilon>
<sigma_dEpsilon>0.000043</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>58630.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.102164</X>
<sigma_X>0.000070</sigma_X>
<Y>0.427507</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.105052</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.011422</dEpsilon>
<sigma_dEpsilon>0.000047</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>58648.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.136085</X>
<sigma_X>0.000071</sigma_X>
<Y>0.429239</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107535</dPsi>
<sigma_dPsi>0.000118</sigma_dPsi>
<dEpsilon>-0.010892</dEpsilon>
<sigma_dEpsilon>0.000045</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>58666.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.159550</X>
<sigma_X>0.000072</sigma_X>
<Y>0.419179</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111061</dPsi>
<sigma_dPsi>0.000106</sigma_dPsi>
<dEpsilon>-0.010942</dEpsilon>
<sigma_dEpsilon>0.000040</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>58685.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.184309</X>
<sigma_X>0.000072</sigma_X>
<Y>0.402598</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.113128</dPsi>
<sigma_dPsi>0.000121</sigma_dPsi>
<dEpsilon>-0.010938</dEpsilon>
<sigma_dEpsilon>0.000047</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>58703.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.212328</X>
<sigma_X>0.000072</sigma_X>
<Y>0.386578</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.116092</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.011045</dEpsilon>
<sigma_dEpsilon>0.000048</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>58721.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.216531</X>
<sigma_X>0.000073</sigma_X>
<Y>0.361734</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.117720</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.011104</dEpsilon>
<sigma_dEpsilon>0.000048</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58739.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.209698</X>
<sigma_X>0.000072</sigma_X>
<Y>0.332170</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.116987</dPsi>
<sigma_dPsi>0.000118</sigma_dPsi>
<dEpsilon>-0.010633</dEpsilon>
<sigma_dEpsilon>0.000045</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58758.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.197373</X>
<sigma_X>0.000071</sigma_X>
<Y>0.310961</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.116694</dPsi>
<sigma_dPsi>0.000143</sigma_dPsi>
<dEpsilon>-0.009925</dEpsilon>
<sigma_dEpsilon>0.000053</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58776.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.176000</X>
<sigma_X>0.000071</sigma_X>
<Y>0.293240</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.115000</dPsi>
<sigma_dPsi>0.000123</sigma_dPsi>
<dEpsilon>-0.009503</dEpsilon>
<sigma_dEpsilon>0.000046</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58794.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.161054</X>
<sigma_X>0.000072</sigma_X>
<Y>0.277597</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112825</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.008224</dEpsilon>
<sigma_dEpsilon>0.000047</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58812.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.131998</X>
<sigma_X>0.000071</sigma_X>
<Y>0.270485</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112238</dPsi>
<sigma_dPsi>0.000111</sigma_dPsi>
<dEpsilon>-0.007391</dEpsilon>
<sigma_dEpsilon>0.000042</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>58831.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.103267</X>
<sigma_X>0.000071</sigma_X>
<Y>0.273059</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110610</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.006789</dEpsilon>
<sigma_dEpsilon>0.000063</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58849.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.077373</X>
<sigma_X>0.000071</sigma_X>
<Y>0.282381</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109443</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.006580</dEpsilon>
<sigma_dEpsilon>0.000057</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58867.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.055513</X>
<sigma_X>0.000072</sigma_X>
<Y>0.297933</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109267</dPsi>
<sigma_dPsi>0.000085</sigma_dPsi>
<dEpsilon>-0.006409</dEpsilon>
<sigma_dEpsilon>0.000031</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58886.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.040866</X>
<sigma_X>0.000074</sigma_X>
<Y>0.322052</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109420</dPsi>
<sigma_dPsi>0.000304</sigma_dPsi>
<dEpsilon>-0.006871</dEpsilon>
<sigma_dEpsilon>0.000157</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58904.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.027846</X>
<sigma_X>0.000073</sigma_X>
<Y>0.345379</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.108021</dPsi>
<sigma_dPsi>0.000156</sigma_dPsi>
<dEpsilon>-0.007583</dEpsilon>
<sigma_dEpsilon>0.000071</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>58922.550</MJD>
</time>
<dataEOP>
<pole>
<X>0.031990</X>
<sigma_X>0.000072</sigma_X>
<Y>0.376845</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107580</dPsi>
<sigma_dPsi>0.000090</sigma_dPsi>
<dEpsilon>-0.008729</dEpsilon>
<sigma_dEpsilon>0.000034</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>58940.812</MJD>
</time>
<dataEOP>
<pole>
<X>0.051145</X>
<sigma_X>0.000071</sigma_X>
<Y>0.401456</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106424</dPsi>
<sigma_dPsi>0.000083</sigma_dPsi>
<dEpsilon>-0.009760</dEpsilon>
<sigma_dEpsilon>0.000031</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>58959.075</MJD>
</time>
<dataEOP>
<pole>
<X>0.063475</X>
<sigma_X>0.000073</sigma_X>
<Y>0.423565</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.105193</dPsi>
<sigma_dPsi>0.000085</sigma_dPsi>
<dEpsilon>-0.009830</dEpsilon>
<sigma_dEpsilon>0.000033</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>58977.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.087326</X>
<sigma_X>0.000071</sigma_X>
<Y>0.442592</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106573</dPsi>
<sigma_dPsi>0.000085</sigma_dPsi>
<dEpsilon>-0.010343</dEpsilon>
<sigma_dEpsilon>0.000032</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>58995.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.109565</X>
<sigma_X>0.000071</sigma_X>
<Y>0.444808</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106698</dPsi>
<sigma_dPsi>0.000090</sigma_dPsi>
<dEpsilon>-0.010634</dEpsilon>
<sigma_dEpsilon>0.000034</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>59013.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.133052</X>
<sigma_X>0.000071</sigma_X>
<Y>0.440083</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.108452</dPsi>
<sigma_dPsi>0.000101</sigma_dPsi>
<dEpsilon>-0.010374</dEpsilon>
<sigma_dEpsilon>0.000039</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>59032.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.167890</X>
<sigma_X>0.000071</sigma_X>
<Y>0.430359</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112056</dPsi>
<sigma_dPsi>0.000108</sigma_dPsi>
<dEpsilon>-0.009768</dEpsilon>
<sigma_dEpsilon>0.000042</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>59050.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.193774</X>
<sigma_X>0.000072</sigma_X>
<Y>0.409196</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114966</dPsi>
<sigma_dPsi>0.000121</sigma_dPsi>
<dEpsilon>-0.010410</dEpsilon>
<sigma_dEpsilon>0.000046</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>59068.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.207889</X>
<sigma_X>0.000074</sigma_X>
<Y>0.389583</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.116449</dPsi>
<sigma_dPsi>0.000161</sigma_dPsi>
<dEpsilon>-0.010114</dEpsilon>
<sigma_dEpsilon>0.000064</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>59086.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.218092</X>
<sigma_X>0.000073</sigma_X>
<Y>0.367564</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.118313</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.010294</dEpsilon>
<sigma_dEpsilon>0.000049</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>59105.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.209767</X>
<sigma_X>0.000073</sigma_X>
<Y>0.346357</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.118443</dPsi>
<sigma_dPsi>0.000131</sigma_dPsi>
<dEpsilon>-0.010119</dEpsilon>
<sigma_dEpsilon>0.000053</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>59123.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.194036</X>
<sigma_X>0.000074</sigma_X>
<Y>0.324944</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.116956</dPsi>
<sigma_dPsi>0.000136</sigma_dPsi>
<dEpsilon>-0.009151</dEpsilon>
<sigma_dEpsilon>0.000054</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>59141.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.175887</X>
<sigma_X>0.000075</sigma_X>
<Y>0.306307</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.115384</dPsi>
<sigma_dPsi>0.000146</sigma_dPsi>
<dEpsilon>-0.008640</dEpsilon>
<sigma_dEpsilon>0.000058</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>59159.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.151074</X>
<sigma_X>0.000076</sigma_X>
<Y>0.293570</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.113752</dPsi>
<sigma_dPsi>0.000161</sigma_dPsi>
<dEpsilon>-0.008085</dEpsilon>
<sigma_dEpsilon>0.000062</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>59178.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.120679</X>
<sigma_X>0.000075</sigma_X>
<Y>0.287011</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112052</dPsi>
<sigma_dPsi>0.000219</sigma_dPsi>
<dEpsilon>-0.006580</dEpsilon>
<sigma_dEpsilon>0.000075</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>59196.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.088419</X>
<sigma_X>0.000061</sigma_X>
<Y>0.291239</Y>
<sigma_Y>0.000060</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111541</dPsi>
<sigma_dPsi>0.000013</sigma_dPsi>
<dEpsilon>-0.006030</dEpsilon>
<sigma_dEpsilon>0.000004</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2020</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>59214.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.069141</X>
<sigma_X>0.000072</sigma_X>
<Y>0.303424</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110155</dPsi>
<sigma_dPsi>0.003233</sigma_dPsi>
<dEpsilon>-0.006009</dEpsilon>
<sigma_dEpsilon>0.001207</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>59233.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.052821</X>
<sigma_X>0.000057</sigma_X>
<Y>0.319817</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109435</dPsi>
<sigma_dPsi>0.000121</sigma_dPsi>
<dEpsilon>-0.005915</dEpsilon>
<sigma_dEpsilon>0.000093</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>59251.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.049857</X>
<sigma_X>0.000062</sigma_X>
<Y>0.346414</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109770</dPsi>
<sigma_dPsi>0.000206</sigma_dPsi>
<dEpsilon>-0.006095</dEpsilon>
<sigma_dEpsilon>0.000079</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>59269.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.050215</X>
<sigma_X>0.000061</sigma_X>
<Y>0.366258</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.108799</dPsi>
<sigma_dPsi>0.000166</sigma_dPsi>
<dEpsilon>-0.007473</dEpsilon>
<sigma_dEpsilon>0.000076</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>59287.800</MJD>
</time>
<dataEOP>
<pole>
<X>0.061914</X>
<sigma_X>0.000061</sigma_X>
<Y>0.391672</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107891</dPsi>
<sigma_dPsi>0.000123</sigma_dPsi>
<dEpsilon>-0.007850</dEpsilon>
<sigma_dEpsilon>0.000050</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>59306.062</MJD>
</time>
<dataEOP>
<pole>
<X>0.081043</X>
<sigma_X>0.000060</sigma_X>
<Y>0.412832</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107560</dPsi>
<sigma_dPsi>0.000141</sigma_dPsi>
<dEpsilon>-0.009104</dEpsilon>
<sigma_dEpsilon>0.000079</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>59324.325</MJD>
</time>
<dataEOP>
<pole>
<X>0.094934</X>
<sigma_X>0.000067</sigma_X>
<Y>0.427375</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106192</dPsi>
<sigma_dPsi>0.000173</sigma_dPsi>
<dEpsilon>-0.009876</dEpsilon>
<sigma_dEpsilon>0.000061</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>59342.587</MJD>
</time>
<dataEOP>
<pole>
<X>0.117869</X>
<sigma_X>0.000066</sigma_X>
<Y>0.442057</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.105926</dPsi>
<sigma_dPsi>0.000226</sigma_dPsi>
<dEpsilon>-0.009557</dEpsilon>
<sigma_dEpsilon>0.000216</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>59360.850</MJD>
</time>
<dataEOP>
<pole>
<X>0.153231</X>
<sigma_X>0.000061</sigma_X>
<Y>0.445045</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.108732</dPsi>
<sigma_dPsi>0.000113</sigma_dPsi>
<dEpsilon>-0.009496</dEpsilon>
<sigma_dEpsilon>0.000041</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>59379.112</MJD>
</time>
<dataEOP>
<pole>
<X>0.176515</X>
<sigma_X>0.000061</sigma_X>
<Y>0.434901</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109496</dPsi>
<sigma_dPsi>0.000184</sigma_dPsi>
<dEpsilon>-0.010038</dEpsilon>
<sigma_dEpsilon>0.000093</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>59397.375</MJD>
</time>
<dataEOP>
<pole>
<X>0.206706</X>
<sigma_X>0.000056</sigma_X>
<Y>0.418862</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112433</dPsi>
<sigma_dPsi>0.000171</sigma_dPsi>
<dEpsilon>-0.009385</dEpsilon>
<sigma_dEpsilon>0.000107</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>59415.637</MJD>
</time>
<dataEOP>
<pole>
<X>0.239246</X>
<sigma_X>0.000059</sigma_X>
<Y>0.398385</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.116148</dPsi>
<sigma_dPsi>0.000161</sigma_dPsi>
<dEpsilon>-0.009171</dEpsilon>
<sigma_dEpsilon>0.000146</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>59433.900</MJD>
</time>
<dataEOP>
<pole>
<X>0.250091</X>
<sigma_X>0.000070</sigma_X>
<Y>0.371281</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.117704</dPsi>
<sigma_dPsi>0.000186</sigma_dPsi>
<dEpsilon>-0.009994</dEpsilon>
<sigma_dEpsilon>0.000134</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>59452.162</MJD>
</time>
<dataEOP>
<pole>
<X>0.246328</X>
<sigma_X>0.000065</sigma_X>
<Y>0.339612</Y>
<sigma_Y>0.000045</sigma_Y>
</pole>
<nutation>
<dPsi>-0.118609</dPsi>
<sigma_dPsi>0.000143</sigma_dPsi>
<dEpsilon>-0.009134</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>59470.425</MJD>
</time>
<dataEOP>
<pole>
<X>0.237948</X>
<sigma_X>0.000063</sigma_X>
<Y>0.308365</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.119265</dPsi>
<sigma_dPsi>0.000143</sigma_dPsi>
<dEpsilon>-0.009306</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>59488.687</MJD>
</time>
<dataEOP>
<pole>
<X>0.219971</X>
<sigma_X>0.000061</sigma_X>
<Y>0.280190</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.117588</dPsi>
<sigma_dPsi>0.000148</sigma_dPsi>
<dEpsilon>-0.008982</dEpsilon>
<sigma_dEpsilon>0.000064</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>59506.950</MJD>
</time>
<dataEOP>
<pole>
<X>0.189525</X>
<sigma_X>0.000067</sigma_X>
<Y>0.260386</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.116119</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.007773</dEpsilon>
<sigma_dEpsilon>0.000056</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>59525.212</MJD>
</time>
<dataEOP>
<pole>
<X>0.158029</X>
<sigma_X>0.000071</sigma_X>
<Y>0.248870</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114387</dPsi>
<sigma_dPsi>0.000113</sigma_dPsi>
<dEpsilon>-0.007281</dEpsilon>
<sigma_dEpsilon>0.000050</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>59543.475</MJD>
</time>
<dataEOP>
<pole>
<X>0.128006</X>
<sigma_X>0.000065</sigma_X>
<Y>0.248099</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112565</dPsi>
<sigma_dPsi>0.000131</sigma_dPsi>
<dEpsilon>-0.006880</dEpsilon>
<sigma_dEpsilon>0.000067</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2021</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>59561.737</MJD>
</time>
<dataEOP>
<pole>
<X>0.093292</X>
<sigma_X>0.000060</sigma_X>
<Y>0.258269</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111864</dPsi>
<sigma_dPsi>0.000138</sigma_dPsi>
<dEpsilon>-0.005371</dEpsilon>
<sigma_dEpsilon>0.000090</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>59580.000</MJD>
</time>
<dataEOP>
<pole>
<X>0.056801</X>
<sigma_X>0.000071</sigma_X>
<Y>0.276164</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111728</dPsi>
<sigma_dPsi>0.000116</sigma_dPsi>
<dEpsilon>-0.005168</dEpsilon>
<sigma_dEpsilon>0.000047</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>59598.262</MJD>
</time>
<dataEOP>
<pole>
<X>0.039201</X>
<sigma_X>0.000063</sigma_X>
<Y>0.302825</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110151</dPsi>
<sigma_dPsi>0.000271</sigma_dPsi>
<dEpsilon>-0.005790</dEpsilon>
<sigma_dEpsilon>0.000122</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>59616.525</MJD>
</time>
<dataEOP>
<pole>
<X>0.024073</X>
<sigma_X>0.000060</sigma_X>
<Y>0.332068</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109836</dPsi>
<sigma_dPsi>0.000191</sigma_dPsi>
<dEpsilon>-0.005731</dEpsilon>
<sigma_dEpsilon>0.000084</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>59634.787</MJD>
</time>
<dataEOP>
<pole>
<X>0.018196</X>
<sigma_X>0.000063</sigma_X>
<Y>0.363958</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109695</dPsi>
<sigma_dPsi>0.000098</sigma_dPsi>
<dEpsilon>-0.006490</dEpsilon>
<sigma_dEpsilon>0.000041</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>59653.050</MJD>
</time>
<dataEOP>
<pole>
<X>0.033488</X>
<sigma_X>0.000061</sigma_X>
<Y>0.397073</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107467</dPsi>
<sigma_dPsi>0.000116</sigma_dPsi>
<dEpsilon>-0.008098</dEpsilon>
<sigma_dEpsilon>0.000050</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>59671.312</MJD>
</time>
<dataEOP>
<pole>
<X>0.043441</X>
<sigma_X>0.000070</sigma_X>
<Y>0.428848</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107122</dPsi>
<sigma_dPsi>0.000121</sigma_dPsi>
<dEpsilon>-0.008220</dEpsilon>
<sigma_dEpsilon>0.000052</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>59689.575</MJD>
</time>
<dataEOP>
<pole>
<X>0.068305</X>
<sigma_X>0.000064</sigma_X>
<Y>0.461849</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107665</dPsi>
<sigma_dPsi>0.000138</sigma_dPsi>
<dEpsilon>-0.009275</dEpsilon>
<sigma_dEpsilon>0.000057</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>59707.837</MJD>
</time>
<dataEOP>
<pole>
<X>0.106063</X>
<sigma_X>0.000063</sigma_X>
<Y>0.480270</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106066</dPsi>
<sigma_dPsi>0.000153</sigma_dPsi>
<dEpsilon>-0.010030</dEpsilon>
<sigma_dEpsilon>0.000058</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>59726.100</MJD>
</time>
<dataEOP>
<pole>
<X>0.141550</X>
<sigma_X>0.000063</sigma_X>
<Y>0.487606</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.106831</dPsi>
<sigma_dPsi>0.000118</sigma_dPsi>
<dEpsilon>-0.009291</dEpsilon>
<sigma_dEpsilon>0.000049</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>59744.362</MJD>
</time>
<dataEOP>
<pole>
<X>0.183378</X>
<sigma_X>0.000067</sigma_X>
<Y>0.479785</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110645</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.009006</dEpsilon>
<sigma_dEpsilon>0.000051</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>59762.625</MJD>
</time>
<dataEOP>
<pole>
<X>0.233064</X>
<sigma_X>0.000056</sigma_X>
<Y>0.459786</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111935</dPsi>
<sigma_dPsi>0.000123</sigma_dPsi>
<dEpsilon>-0.009518</dEpsilon>
<sigma_dEpsilon>0.000053</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>59780.887</MJD>
</time>
<dataEOP>
<pole>
<X>0.271533</X>
<sigma_X>0.000065</sigma_X>
<Y>0.428471</Y>
<sigma_Y>0.000054</sigma_Y>
</pole>
<nutation>
<dPsi>-0.115298</dPsi>
<sigma_dPsi>0.000126</sigma_dPsi>
<dEpsilon>-0.008694</dEpsilon>
<sigma_dEpsilon>0.000056</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>59799.150</MJD>
</time>
<dataEOP>
<pole>
<X>0.292091</X>
<sigma_X>0.000062</sigma_X>
<Y>0.390033</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.118316</dPsi>
<sigma_dPsi>0.000123</sigma_dPsi>
<dEpsilon>-0.009055</dEpsilon>
<sigma_dEpsilon>0.000054</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>59817.412</MJD>
</time>
<dataEOP>
<pole>
<X>0.304671</X>
<sigma_X>0.000047</sigma_X>
<Y>0.345671</Y>
<sigma_Y>0.000038</sigma_Y>
</pole>
<nutation>
<dPsi>-0.118749</dPsi>
<sigma_dPsi>0.000153</sigma_dPsi>
<dEpsilon>-0.009292</dEpsilon>
<sigma_dEpsilon>0.000068</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>59835.675</MJD>
</time>
<dataEOP>
<pole>
<X>0.297681</X>
<sigma_X>0.000055</sigma_X>
<Y>0.298968</Y>
<sigma_Y>0.000047</sigma_Y>
</pole>
<nutation>
<dPsi>-0.119036</dPsi>
<sigma_dPsi>0.000148</sigma_dPsi>
<dEpsilon>-0.008586</dEpsilon>
<sigma_dEpsilon>0.000069</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>59853.937</MJD>
</time>
<dataEOP>
<pole>
<X>0.280109</X>
<sigma_X>0.000060</sigma_X>
<Y>0.258543</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.118519</dPsi>
<sigma_dPsi>0.000116</sigma_dPsi>
<dEpsilon>-0.008497</dEpsilon>
<sigma_dEpsilon>0.000057</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>59872.200</MJD>
</time>
<dataEOP>
<pole>
<X>0.242210</X>
<sigma_X>0.000068</sigma_X>
<Y>0.222039</Y>
<sigma_Y>0.000051</sigma_Y>
</pole>
<nutation>
<dPsi>-0.115603</dPsi>
<sigma_dPsi>0.000090</sigma_dPsi>
<dEpsilon>-0.008061</dEpsilon>
<sigma_dEpsilon>0.000043</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>59890.462</MJD>
</time>
<dataEOP>
<pole>
<X>0.196511</X>
<sigma_X>0.000065</sigma_X>
<Y>0.198772</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114359</dPsi>
<sigma_dPsi>0.000096</sigma_dPsi>
<dEpsilon>-0.006684</dEpsilon>
<sigma_dEpsilon>0.000036</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>59908.725</MJD>
</time>
<dataEOP>
<pole>
<X>0.161691</X>
<sigma_X>0.000069</sigma_X>
<Y>0.191015</Y>
<sigma_Y>0.000053</sigma_Y>
</pole>
<nutation>
<dPsi>-0.113486</dPsi>
<sigma_dPsi>0.000085</sigma_dPsi>
<dEpsilon>-0.006303</dEpsilon>
<sigma_dEpsilon>0.000033</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2022</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>59926.987</MJD>
</time>
<dataEOP>
<pole>
<X>0.112224</X>
<sigma_X>0.000071</sigma_X>
<Y>0.190140</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111403</dPsi>
<sigma_dPsi>0.000096</sigma_dPsi>
<dEpsilon>-0.006025</dEpsilon>
<sigma_dEpsilon>0.000035</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>59945.250</MJD>
</time>
<dataEOP>
<pole>
<X>0.066291</X>
<sigma_X>0.000072</sigma_X>
<Y>0.200626</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111917</dPsi>
<sigma_dPsi>0.000075</sigma_dPsi>
<dEpsilon>-0.005025</dEpsilon>
<sigma_dEpsilon>0.000028</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>59963.512</MJD>
</time>
<dataEOP>
<pole>
<X>0.018815</X>
<sigma_X>0.000074</sigma_X>
<Y>0.222413</Y>
<sigma_Y>0.000065</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112082</dPsi>
<sigma_dPsi>0.000070</sigma_dPsi>
<dEpsilon>-0.005384</dEpsilon>
<sigma_dEpsilon>0.000027</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>59981.775</MJD>
</time>
<dataEOP>
<pole>
<X>-0.010927</X>
<sigma_X>0.000074</sigma_X>
<Y>0.257740</Y>
<sigma_Y>0.000066</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110559</dPsi>
<sigma_dPsi>0.000106</sigma_dPsi>
<dEpsilon>-0.006103</dEpsilon>
<sigma_dEpsilon>0.000033</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>60000.037</MJD>
</time>
<dataEOP>
<pole>
<X>-0.041046</X>
<sigma_X>0.000074</sigma_X>
<Y>0.302177</Y>
<sigma_Y>0.000073</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110338</dPsi>
<sigma_dPsi>0.000033</sigma_dPsi>
<dEpsilon>-0.006609</dEpsilon>
<sigma_dEpsilon>0.000016</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>60018.300</MJD>
</time>
<dataEOP>
<pole>
<X>-0.040550</X>
<sigma_X>0.000070</sigma_X>
<Y>0.356918</Y>
<sigma_Y>0.000067</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109430</dPsi>
<sigma_dPsi>0.002232</sigma_dPsi>
<dEpsilon>-0.007781</dEpsilon>
<sigma_dEpsilon>0.000451</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>60036.562</MJD>
</time>
<dataEOP>
<pole>
<X>-0.017413</X>
<sigma_X>0.000058</sigma_X>
<Y>0.407570</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107486</dPsi>
<sigma_dPsi>0.000015</sigma_dPsi>
<dEpsilon>-0.008923</dEpsilon>
<sigma_dEpsilon>0.000017</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>60054.825</MJD>
</time>
<dataEOP>
<pole>
<X>0.006975</X>
<sigma_X>0.000060</sigma_X>
<Y>0.452363</Y>
<sigma_Y>0.000056</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107584</dPsi>
<sigma_dPsi>0.000204</sigma_dPsi>
<dEpsilon>-0.008945</dEpsilon>
<sigma_dEpsilon>0.000067</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>60073.087</MJD>
</time>
<dataEOP>
<pole>
<X>0.040898</X>
<sigma_X>0.000057</sigma_X>
<Y>0.482546</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.108519</dPsi>
<sigma_dPsi>0.000553</sigma_dPsi>
<dEpsilon>-0.009775</dEpsilon>
<sigma_dEpsilon>0.000056</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>60091.350</MJD>
</time>
<dataEOP>
<pole>
<X>0.085071</X>
<sigma_X>0.000067</sigma_X>
<Y>0.503179</Y>
<sigma_Y>0.000062</sigma_Y>
</pole>
<nutation>
<dPsi>-0.107897</dPsi>
<sigma_dPsi>0.001063</sigma_dPsi>
<dEpsilon>-0.010155</dEpsilon>
<sigma_dEpsilon>0.000098</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>60109.612</MJD>
</time>
<dataEOP>
<pole>
<X>0.131356</X>
<sigma_X>0.000067</sigma_X>
<Y>0.512847</Y>
<sigma_Y>0.000067</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110026</dPsi>
<sigma_dPsi>0.000515</sigma_dPsi>
<dEpsilon>-0.009097</dEpsilon>
<sigma_dEpsilon>0.000089</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>60127.875</MJD>
</time>
<dataEOP>
<pole>
<X>0.187126</X>
<sigma_X>0.000056</sigma_X>
<Y>0.507930</Y>
<sigma_Y>0.000052</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114083</dPsi>
<sigma_dPsi>0.000259</sigma_dPsi>
<dEpsilon>-0.009254</dEpsilon>
<sigma_dEpsilon>0.000097</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>60146.137</MJD>
</time>
<dataEOP>
<pole>
<X>0.234814</X>
<sigma_X>0.000055</sigma_X>
<Y>0.491161</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.115963</dPsi>
<sigma_dPsi>0.000108</sigma_dPsi>
<dEpsilon>-0.009132</dEpsilon>
<sigma_dEpsilon>0.000037</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>60164.400</MJD>
</time>
<dataEOP>
<pole>
<X>0.272791</X>
<sigma_X>0.000057</sigma_X>
<Y>0.462456</Y>
<sigma_Y>0.000055</sigma_Y>
</pole>
<nutation>
<dPsi>-0.118919</dPsi>
<sigma_dPsi>0.000163</sigma_dPsi>
<dEpsilon>-0.009103</dEpsilon>
<sigma_dEpsilon>0.000044</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>60182.662</MJD>
</time>
<dataEOP>
<pole>
<X>0.296329</X>
<sigma_X>0.000062</sigma_X>
<Y>0.424634</Y>
<sigma_Y>0.000059</sigma_Y>
</pole>
<nutation>
<dPsi>-0.120560</dPsi>
<sigma_dPsi>0.000435</sigma_dPsi>
<dEpsilon>-0.009650</dEpsilon>
<sigma_dEpsilon>0.000128</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>60200.925</MJD>
</time>
<dataEOP>
<pole>
<X>0.308632</X>
<sigma_X>0.000060</sigma_X>
<Y>0.382088</Y>
<sigma_Y>0.000057</sigma_Y>
</pole>
<nutation>
<dPsi>-0.119863</dPsi>
<sigma_dPsi>0.000108</sigma_dPsi>
<dEpsilon>-0.008877</dEpsilon>
<sigma_dEpsilon>0.000059</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>60219.187</MJD>
</time>
<dataEOP>
<pole>
<X>0.300801</X>
<sigma_X>0.000060</sigma_X>
<Y>0.332601</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.119093</dPsi>
<sigma_dPsi>0.000158</sigma_dPsi>
<dEpsilon>-0.008683</dEpsilon>
<sigma_dEpsilon>0.000052</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>60237.450</MJD>
</time>
<dataEOP>
<pole>
<X>0.285944</X>
<sigma_X>0.000063</sigma_X>
<Y>0.290975</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.117593</dPsi>
<sigma_dPsi>0.000101</sigma_dPsi>
<dEpsilon>-0.008186</dEpsilon>
<sigma_dEpsilon>0.000035</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>60255.712</MJD>
</time>
<dataEOP>
<pole>
<X>0.267264</X>
<sigma_X>0.000057</sigma_X>
<Y>0.258377</Y>
<sigma_Y>0.000045</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114732</dPsi>
<sigma_dPsi>0.000176</sigma_dPsi>
<dEpsilon>-0.007309</dEpsilon>
<sigma_dEpsilon>0.000058</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>60273.975</MJD>
</time>
<dataEOP>
<pole>
<X>0.238234</X>
<sigma_X>0.000056</sigma_X>
<Y>0.230937</Y>
<sigma_Y>0.000048</sigma_Y>
</pole>
<nutation>
<dPsi>-0.113825</dPsi>
<sigma_dPsi>0.000189</sigma_dPsi>
<dEpsilon>-0.006096</dEpsilon>
<sigma_dEpsilon>0.000095</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2023</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>60292.237</MJD>
</time>
<dataEOP>
<pole>
<X>0.190649</X>
<sigma_X>0.000050</sigma_X>
<Y>0.207032</Y>
<sigma_Y>0.000047</sigma_Y>
</pole>
<nutation>
<dPsi>-0.113299</dPsi>
<sigma_dPsi>0.000143</sigma_dPsi>
<dEpsilon>-0.006192</dEpsilon>
<sigma_dEpsilon>0.000072</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>60310.500</MJD>
</time>
<dataEOP>
<pole>
<X>0.137501</X>
<sigma_X>0.000055</sigma_X>
<Y>0.202400</Y>
<sigma_Y>0.000044</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111214</dPsi>
<sigma_dPsi>0.000171</sigma_dPsi>
<dEpsilon>-0.005602</dEpsilon>
<sigma_dEpsilon>0.000052</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>60328.762</MJD>
</time>
<dataEOP>
<pole>
<X>0.102454</X>
<sigma_X>0.000055</sigma_X>
<Y>0.211874</Y>
<sigma_Y>0.000044</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112580</dPsi>
<sigma_dPsi>0.000126</sigma_dPsi>
<dEpsilon>-0.005665</dEpsilon>
<sigma_dEpsilon>0.000042</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>60347.025</MJD>
</time>
<dataEOP>
<pole>
<X>0.054599</X>
<sigma_X>0.000057</sigma_X>
<Y>0.228291</Y>
<sigma_Y>0.000046</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112045</dPsi>
<sigma_dPsi>0.000123</sigma_dPsi>
<dEpsilon>-0.006641</dEpsilon>
<sigma_dEpsilon>0.000045</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>60365.287</MJD>
</time>
<dataEOP>
<pole>
<X>0.019668</X>
<sigma_X>0.000048</sigma_X>
<Y>0.259077</Y>
<sigma_Y>0.000041</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110925</dPsi>
<sigma_dPsi>0.000070</sigma_dPsi>
<dEpsilon>-0.007046</dEpsilon>
<sigma_dEpsilon>0.000033</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>60383.550</MJD>
</time>
<dataEOP>
<pole>
<X>-0.008951</X>
<sigma_X>0.000059</sigma_X>
<Y>0.299611</Y>
<sigma_Y>0.000047</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110966</dPsi>
<sigma_dPsi>0.000704</sigma_dPsi>
<dEpsilon>-0.008100</dEpsilon>
<sigma_dEpsilon>0.000085</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>60401.812</MJD>
</time>
<dataEOP>
<pole>
<X>-0.011927</X>
<sigma_X>0.000054</sigma_X>
<Y>0.340876</Y>
<sigma_Y>0.000046</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109043</dPsi>
<sigma_dPsi>0.000948</sigma_dPsi>
<dEpsilon>-0.009667</dEpsilon>
<sigma_dEpsilon>0.000275</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>60420.075</MJD>
</time>
<dataEOP>
<pole>
<X>-0.003244</X>
<sigma_X>0.000056</sigma_X>
<Y>0.380330</Y>
<sigma_Y>0.000047</sigma_Y>
</pole>
<nutation>
<dPsi>-0.108436</dPsi>
<sigma_dPsi>0.000689</sigma_dPsi>
<dEpsilon>-0.009764</dEpsilon>
<sigma_dEpsilon>0.000189</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>60438.337</MJD>
</time>
<dataEOP>
<pole>
<X>0.010990</X>
<sigma_X>0.000057</sigma_X>
<Y>0.415808</Y>
<sigma_Y>0.000044</sigma_Y>
</pole>
<nutation>
<dPsi>-0.109420</dPsi>
<sigma_dPsi>0.000163</sigma_dPsi>
<dEpsilon>-0.009735</dEpsilon>
<sigma_dEpsilon>0.000058</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>60456.600</MJD>
</time>
<dataEOP>
<pole>
<X>0.027421</X>
<sigma_X>0.000056</sigma_X>
<Y>0.440662</Y>
<sigma_Y>0.000046</sigma_Y>
</pole>
<nutation>
<dPsi>-0.110151</dPsi>
<sigma_dPsi>0.000181</sigma_dPsi>
<dEpsilon>-0.010453</dEpsilon>
<sigma_dEpsilon>0.000062</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>60474.862</MJD>
</time>
<dataEOP>
<pole>
<X>0.049497</X>
<sigma_X>0.000056</sigma_X>
<Y>0.467498</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.111600</dPsi>
<sigma_dPsi>0.000168</sigma_dPsi>
<dEpsilon>-0.009971</dEpsilon>
<sigma_dEpsilon>0.000062</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>60493.125</MJD>
</time>
<dataEOP>
<pole>
<X>0.091816</X>
<sigma_X>0.000051</sigma_X>
<Y>0.478070</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114739</dPsi>
<sigma_dPsi>0.000128</sigma_dPsi>
<dEpsilon>-0.009468</dEpsilon>
<sigma_dEpsilon>0.000049</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>60511.387</MJD>
</time>
<dataEOP>
<pole>
<X>0.134710</X>
<sigma_X>0.000056</sigma_X>
<Y>0.479168</Y>
<sigma_Y>0.000049</sigma_Y>
</pole>
<nutation>
<dPsi>-0.117831</dPsi>
<sigma_dPsi>0.000143</sigma_dPsi>
<dEpsilon>-0.010058</dEpsilon>
<sigma_dEpsilon>0.000054</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>60529.650</MJD>
</time>
<dataEOP>
<pole>
<X>0.174251</X>
<sigma_X>0.000054</sigma_X>
<Y>0.473642</Y>
<sigma_Y>0.000050</sigma_Y>
</pole>
<nutation>
<dPsi>-0.119442</dPsi>
<sigma_dPsi>0.000236</sigma_dPsi>
<dEpsilon>-0.009206</dEpsilon>
<sigma_dEpsilon>0.000082</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>60547.912</MJD>
</time>
<dataEOP>
<pole>
<X>0.203295</X>
<sigma_X>0.000053</sigma_X>
<Y>0.455576</Y>
<sigma_Y>0.000046</sigma_Y>
</pole>
<nutation>
<dPsi>-0.121758</dPsi>
<sigma_dPsi>0.000236</sigma_dPsi>
<dEpsilon>-0.009945</dEpsilon>
<sigma_dEpsilon>0.000083</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>60566.175</MJD>
</time>
<dataEOP>
<pole>
<X>0.217402</X>
<sigma_X>0.000051</sigma_X>
<Y>0.431916</Y>
<sigma_Y>0.000042</sigma_Y>
</pole>
<nutation>
<dPsi>-0.121498</dPsi>
<sigma_dPsi>0.000113</sigma_dPsi>
<dEpsilon>-0.010262</dEpsilon>
<sigma_dEpsilon>0.000032</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>60584.437</MJD>
</time>
<dataEOP>
<pole>
<X>0.225952</X>
<sigma_X>0.000050</sigma_X>
<Y>0.408984</Y>
<sigma_Y>0.000043</sigma_Y>
</pole>
<nutation>
<dPsi>-0.120062</dPsi>
<sigma_dPsi>0.001491</sigma_dPsi>
<dEpsilon>-0.008653</dEpsilon>
<sigma_dEpsilon>0.000633</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>60602.700</MJD>
</time>
<dataEOP>
<pole>
<X>0.223975</X>
<sigma_X>0.000049</sigma_X>
<Y>0.382326</Y>
<sigma_Y>0.000042</sigma_Y>
</pole>
<nutation>
<dPsi>-0.118801</dPsi>
<sigma_dPsi>0.000126</sigma_dPsi>
<dEpsilon>-0.008768</dEpsilon>
<sigma_dEpsilon>0.000094</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>60620.962</MJD>
</time>
<dataEOP>
<pole>
<X>0.210913</X>
<sigma_X>0.000054</sigma_X>
<Y>0.357989</Y>
<sigma_Y>0.000042</sigma_Y>
</pole>
<nutation>
<dPsi>-0.116728</dPsi>
<sigma_dPsi>0.000392</sigma_dPsi>
<dEpsilon>-0.008219</dEpsilon>
<sigma_dEpsilon>0.000786</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>60639.225</MJD>
</time>
<dataEOP>
<pole>
<X>0.199720</X>
<sigma_X>0.000098</sigma_X>
<Y>0.335957</Y>
<sigma_Y>0.000093</sigma_Y>
</pole>
<nutation>
<dPsi>-0.115020</dPsi>
<sigma_dPsi>0.000769</sigma_dPsi>
<dEpsilon>-0.006660</dEpsilon>
<sigma_dEpsilon>0.000349</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>60657.487</MJD>
</time>
<dataEOP>
<pole>
<X>0.175431</X>
<sigma_X>0.000100</sigma_X>
<Y>0.314386</Y>
<sigma_Y>0.000100</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114570</dPsi>
<sigma_dPsi>0.000251</sigma_dPsi>
<dEpsilon>-0.006125</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2024</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>60675.750</MJD>
</time>
<dataEOP>
<pole>
<X>0.146404</X>
<sigma_X>0.000100</sigma_X>
<Y>0.306428</Y>
<sigma_Y>0.000100</sigma_Y>
</pole>
<nutation>
<dPsi>-0.113937</dPsi>
<sigma_dPsi>0.000251</sigma_dPsi>
<dEpsilon>-0.006587</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2025</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>60694.012</MJD>
</time>
<dataEOP>
<pole>
<X>0.121929</X>
<sigma_X>0.000100</sigma_X>
<Y>0.303383</Y>
<sigma_Y>0.000100</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112522</dPsi>
<sigma_dPsi>0.000251</sigma_dPsi>
<dEpsilon>-0.006034</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2025</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>60712.275</MJD>
</time>
<dataEOP>
<pole>
<X>0.097971</X>
<sigma_X>0.000100</sigma_X>
<Y>0.311409</Y>
<sigma_Y>0.000100</sigma_Y>
</pole>
<nutation>
<dPsi>-0.114247</dPsi>
<sigma_dPsi>0.000251</sigma_dPsi>
<dEpsilon>-0.006958</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2025</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>60730.537</MJD>
</time>
<dataEOP>
<pole>
<X>0.080079</X>
<sigma_X>0.000100</sigma_X>
<Y>0.323896</Y>
<sigma_Y>0.000100</sigma_Y>
</pole>
<nutation>
<dPsi>-0.112290</dPsi>
<sigma_dPsi>0.000251</sigma_dPsi>
<dEpsilon>-0.008515</dEpsilon>
<sigma_dEpsilon>0.000100</sigma_dEpsilon>
</nutation>
</dataEOP>
</timeSeries>
</data>
</EOP>
