<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>BulletinA</product>
<date>2014-07-31</date>
<volume>XXVII</volume>
<number>031</number>
</version>
<metaFileName/>
<headerLine><headerLineDate><sYear>Year</sYear>
<sMonth>Month</sMonth>
<sDay>Day</sDay>
<sTime>Time</sTime>
<sMJD>MJD</sMJD>
</headerLineDate>
<headerLineEOP><product source="BulletinA"><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>
<sdX>dX</sdX>
<ssigma_dX>sigma_dX</ssigma_dX>
<sdY>dY</sdY>
<ssigma_dY>sigma_dY</ssigma_dY>
</product>
</headerLineEOP>
<headerLineUnits><product source="BulletinA"><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>marcsec</dPsi>
<sigma_dPsi>marcsec</sigma_dPsi>
<dEpsilon>marcsec</dEpsilon>
<sigma_dEpsilon>marcsec</sigma_dEpsilon>
<dX>marcsec</dX>
<sigma_dX>marcsec</sigma_dX>
<dY>marcsec</dY>
<sigma_dY>marcsec</sigma_dY>
</product>
</headerLineUnits>
</headerLine>
<data product="BulletinA" source="BulletinA"><timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>56847</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.62</dPsi>
<sigma_dPsi>0.13</sigma_dPsi>
<dEpsilon>-13.52</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.130</dX>
<sigma_dX>0.052</sigma_dX>
<dY>-0.293</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>56848</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.45</dPsi>
<sigma_dPsi>0.13</sigma_dPsi>
<dEpsilon>-13.45</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.163</dX>
<sigma_dX>0.052</sigma_dX>
<dY>-0.286</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>56849</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.23</dPsi>
<sigma_dPsi>0.13</sigma_dPsi>
<dEpsilon>-13.60</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.173</dX>
<sigma_dX>0.052</sigma_dX>
<dY>-0.279</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>56850</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.17</dPsi>
<sigma_dPsi>0.20</sigma_dPsi>
<dEpsilon>-13.78</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.162</dX>
<sigma_dX>0.080</sigma_dX>
<dY>-0.275</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>56851</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.28</dPsi>
<sigma_dPsi>0.20</sigma_dPsi>
<dEpsilon>-13.75</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.151</dX>
<sigma_dX>0.080</sigma_dX>
<dY>-0.286</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>56852</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.48</dPsi>
<sigma_dPsi>0.20</sigma_dPsi>
<dEpsilon>-13.50</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.167</dX>
<sigma_dX>0.080</sigma_dX>
<dY>-0.294</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>56853</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.76</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.24</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.189</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.272</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>56854</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-88.11</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.14</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.200</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.235</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>56855</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-88.52</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.17</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.193</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.210</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>56856</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-88.87</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.26</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.179</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.213</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>56863</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.18999</X>
<sigma_X>.00009</sigma_X>
<Y>0.38818</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.313138</UT1-UTC>
<sigma_UT1-UTC>0.000014</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>56864</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19039</X>
<sigma_X>.00009</sigma_X>
<Y>0.38705</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.313181</UT1-UTC>
<sigma_UT1-UTC>0.000023</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>56865</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19101</X>
<sigma_X>.00009</sigma_X>
<Y>0.38597</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.313279</UT1-UTC>
<sigma_UT1-UTC>0.000021</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>56866</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19199</X>
<sigma_X>.00009</sigma_X>
<Y>0.38498</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.313428</UT1-UTC>
<sigma_UT1-UTC>0.000019</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>56867</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19314</X>
<sigma_X>.00009</sigma_X>
<Y>0.38400</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.313694</UT1-UTC>
<sigma_UT1-UTC>0.000019</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>56868</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19409</X>
<sigma_X>.00009</sigma_X>
<Y>0.38294</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.314105</UT1-UTC>
<sigma_UT1-UTC>0.000065</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>56869</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19471</X>
<sigma_X>.00009</sigma_X>
<Y>0.38178</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.314548</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>56870</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1953</X>
<Y>0.3805</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31497</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>56871</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1958</X>
<Y>0.3792</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31535</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>56872</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1963</X>
<Y>0.3778</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31566</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>56873</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1968</X>
<Y>0.3764</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31590</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>56874</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1974</X>
<Y>0.3751</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31605</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>56875</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.3737</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31615</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>56876</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1987</X>
<Y>0.3724</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>56877</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1993</X>
<Y>0.3710</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31634</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>56878</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1999</X>
<Y>0.3697</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>56879</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3684</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31698</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>56880</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2010</X>
<Y>0.3670</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31761</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>56881</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.3656</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31845</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>56882</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2019</X>
<Y>0.3641</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31944</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>56883</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2024</X>
<Y>0.3627</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32043</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>56884</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2028</X>
<Y>0.3612</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32134</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>56885</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2033</X>
<Y>0.3598</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32211</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>56886</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2037</X>
<Y>0.3583</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32273</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>56887</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2040</X>
<Y>0.3569</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32321</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>56888</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2044</X>
<Y>0.3554</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32359</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>56889</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2047</X>
<Y>0.3539</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32392</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>56890</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2050</X>
<Y>0.3524</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32425</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>56891</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2052</X>
<Y>0.3509</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32461</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>56892</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2055</X>
<Y>0.3494</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32503</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>56893</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2057</X>
<Y>0.3479</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32552</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>56894</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2059</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32610</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>56895</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2060</X>
<Y>0.3448</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32678</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>56896</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2062</X>
<Y>0.3433</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32755</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>56897</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2063</X>
<Y>0.3417</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32837</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>56898</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2063</X>
<Y>0.3402</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32923</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>56899</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2064</X>
<Y>0.3386</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>56900</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2064</X>
<Y>0.3371</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33093</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>56901</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2064</X>
<Y>0.3355</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33174</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>56902</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2064</X>
<Y>0.3340</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33252</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>56903</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2063</X>
<Y>0.3324</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>56904</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2062</X>
<Y>0.3309</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33409</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>56905</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2061</X>
<Y>0.3293</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33499</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>56906</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2059</X>
<Y>0.3277</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33603</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>56907</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2057</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33726</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>56908</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2055</X>
<Y>0.3246</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>56909</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2053</X>
<Y>0.3231</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34019</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>56910</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2050</X>
<Y>0.3215</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34176</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>56911</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2047</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34327</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>56912</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2043</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34464</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>56913</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2040</X>
<Y>0.3168</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34584</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>56914</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2036</X>
<Y>0.3153</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34687</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>56915</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2032</X>
<Y>0.3138</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34775</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>56916</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34856</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>56917</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2022</X>
<Y>0.3107</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34932</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>56918</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2017</X>
<Y>0.3092</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>56919</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2012</X>
<Y>0.3077</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35092</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>56920</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2006</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35181</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>56921</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2000</X>
<Y>0.3046</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35278</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>56922</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1994</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35386</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>56923</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1987</X>
<Y>0.3017</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35502</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>56924</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1980</X>
<Y>0.3002</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35625</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>56925</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.2987</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35752</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>56926</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1965</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35879</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>56927</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1958</X>
<Y>0.2958</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36004</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>56928</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1950</X>
<Y>0.2943</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36124</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>56929</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1941</X>
<Y>0.2929</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36239</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>56930</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1933</X>
<Y>0.2915</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36350</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>56931</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1924</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36461</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>56932</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1915</X>
<Y>0.2887</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36577</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>56933</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1905</X>
<Y>0.2873</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36705</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>56934</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1895</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36847</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>56935</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1885</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37006</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>56936</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1875</X>
<Y>0.2832</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37180</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>56937</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1865</X>
<Y>0.2819</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37364</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>56938</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1854</X>
<Y>0.2806</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37548</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>56939</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1843</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37724</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>56940</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1831</X>
<Y>0.2780</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37886</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>56941</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1820</X>
<Y>0.2767</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38030</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>56942</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1808</X>
<Y>0.2755</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38157</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>56943</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1796</X>
<Y>0.2743</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38272</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>56944</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1784</X>
<Y>0.2730</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38379</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>56945</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1771</X>
<Y>0.2719</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38483</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>56946</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1758</X>
<Y>0.2707</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38589</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>56947</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1745</X>
<Y>0.2695</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38700</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>56948</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1732</X>
<Y>0.2684</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>56949</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1719</X>
<Y>0.2672</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38940</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>56950</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1705</X>
<Y>0.2661</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39072</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>56951</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1691</X>
<Y>0.2651</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39208</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>56952</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1677</X>
<Y>0.2640</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39348</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>56953</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1662</X>
<Y>0.2630</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39489</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>56954</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1648</X>
<Y>0.2619</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39627</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>56955</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1633</X>
<Y>0.2609</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39761</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>56956</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1618</X>
<Y>0.2600</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39887</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>56957</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1603</X>
<Y>0.2590</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40008</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>56958</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1587</X>
<Y>0.2581</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40126</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>56959</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1572</X>
<Y>0.2572</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40246</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>56960</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1556</X>
<Y>0.2563</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40373</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>56961</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1540</X>
<Y>0.2554</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>56962</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1524</X>
<Y>0.2546</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40666</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>56963</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1508</X>
<Y>0.2538</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40834</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>56964</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1491</X>
<Y>0.2530</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41012</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>56965</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1475</X>
<Y>0.2522</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>56966</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1458</X>
<Y>0.2515</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41372</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>56967</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1441</X>
<Y>0.2508</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41538</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>56968</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1424</X>
<Y>0.2501</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41688</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>56969</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1406</X>
<Y>0.2494</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>56970</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1389</X>
<Y>0.2488</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>56971</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1372</X>
<Y>0.2482</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42048</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>56972</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1354</X>
<Y>0.2476</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42151</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>56973</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1336</X>
<Y>0.2470</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42254</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>56974</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1318</X>
<Y>0.2465</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42360</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>56975</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1300</X>
<Y>0.2460</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42471</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>56976</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1282</X>
<Y>0.2455</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42589</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>56977</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1264</X>
<Y>0.2451</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42714</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>56978</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1246</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42852</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>56979</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1227</X>
<Y>0.2442</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42994</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>56980</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1209</X>
<Y>0.2439</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43136</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>56981</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1190</X>
<Y>0.2435</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43277</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>56982</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1171</X>
<Y>0.2432</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43413</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>56983</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1153</X>
<Y>0.2429</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43543</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>56984</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1134</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43665</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>56985</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1115</X>
<Y>0.2425</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>56986</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1096</X>
<Y>0.2423</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43899</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>56987</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1077</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44020</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>56988</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1058</X>
<Y>0.2420</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44150</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>56989</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1039</X>
<Y>0.2419</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44292</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>56990</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1020</X>
<Y>0.2418</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44447</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>56991</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1001</X>
<Y>0.2418</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44609</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>56992</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0981</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44775</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>56993</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0962</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44937</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>56994</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0943</X>
<Y>0.2418</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45089</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>56995</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0924</X>
<Y>0.2419</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45228</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>56996</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0905</X>
<Y>0.2420</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45351</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>56997</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0885</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45460</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>56998</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0866</X>
<Y>0.2423</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45558</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>56999</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0847</X>
<Y>0.2424</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45650</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>57000</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0828</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45740</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>57001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0809</X>
<Y>0.2429</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45831</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0790</X>
<Y>0.2432</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45927</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0771</X>
<Y>0.2435</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46029</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0752</X>
<Y>0.2439</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46136</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0733</X>
<Y>0.2442</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46249</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0714</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46367</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0695</X>
<Y>0.2451</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46485</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0676</X>
<Y>0.2455</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46603</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0657</X>
<Y>0.2460</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46717</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0639</X>
<Y>0.2465</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0620</X>
<Y>0.2471</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46929</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0602</X>
<Y>0.2476</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47026</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>57013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0583</X>
<Y>0.2482</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47123</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>57014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0565</X>
<Y>0.2489</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0547</X>
<Y>0.2495</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47331</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0529</X>
<Y>0.2502</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47453</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0511</X>
<Y>0.2510</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47588</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0493</X>
<Y>0.2517</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0475</X>
<Y>0.2525</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47879</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0458</X>
<Y>0.2533</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48023</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0440</X>
<Y>0.2541</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48157</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0423</X>
<Y>0.2550</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48277</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0406</X>
<Y>0.2559</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48382</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>57024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0389</X>
<Y>0.2568</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48474</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>57025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0372</X>
<Y>0.2577</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>57026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0355</X>
<Y>0.2587</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48627</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>57027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0339</X>
<Y>0.2597</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48697</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>57028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0322</X>
<Y>0.2607</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48769</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>57029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0306</X>
<Y>0.2618</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48846</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>57030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0290</X>
<Y>0.2628</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48929</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>57031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0274</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49018</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>57032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0259</X>
<Y>0.2651</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49114</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>57033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0243</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49214</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>57034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0228</X>
<Y>0.2674</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49318</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>57035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0213</X>
<Y>0.2686</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49421</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>57036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0199</X>
<Y>0.2698</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49522</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>57037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0184</X>
<Y>0.2711</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49620</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>57038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0170</X>
<Y>0.2723</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49713</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>57039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0156</X>
<Y>0.2736</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49802</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>57040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0142</X>
<Y>0.2749</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49890</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0128</X>
<Y>0.2763</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49981</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>57042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0115</X>
<Y>0.2777</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50082</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>57043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0102</X>
<Y>0.2790</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50197</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>57044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0089</X>
<Y>0.2804</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>57045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0076</X>
<Y>0.2819</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50475</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>57046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0064</X>
<Y>0.2833</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50628</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>57047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0051</X>
<Y>0.2848</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50780</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>57048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0040</X>
<Y>0.2863</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50923</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>57049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0028</X>
<Y>0.2878</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51052</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>57050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0017</X>
<Y>0.2893</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51163</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>57051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0006</X>
<Y>0.2909</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51259</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>57052</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0005</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51342</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>57053</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0016</X>
<Y>0.2940</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51416</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>57054</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0026</X>
<Y>0.2956</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51485</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>57055</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0036</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>57056</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0045</X>
<Y>0.2989</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51626</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>57057</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0055</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51702</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>57058</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0064</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51784</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>57059</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0072</X>
<Y>0.3039</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51871</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>57060</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0081</X>
<Y>0.3056</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51963</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>57061</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0089</X>
<Y>0.3073</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>57062</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0097</X>
<Y>0.3090</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52159</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>57063</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0104</X>
<Y>0.3107</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52259</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>57064</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0111</X>
<Y>0.3125</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>57065</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0118</X>
<Y>0.3143</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52455</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>57066</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0125</X>
<Y>0.3160</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52548</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>57067</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0131</X>
<Y>0.3178</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52641</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>57068</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0137</X>
<Y>0.3196</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52735</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>57069</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0142</X>
<Y>0.3214</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52836</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>57070</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0148</X>
<Y>0.3233</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>57071</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0153</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53088</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>57072</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0157</X>
<Y>0.3269</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53245</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>57073</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0161</X>
<Y>0.3288</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53419</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>57074</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0165</X>
<Y>0.3306</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53604</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>57075</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0169</X>
<Y>0.3325</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>57076</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0172</X>
<Y>0.3344</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53963</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>57077</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0175</X>
<Y>0.3363</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54124</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57078</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0177</X>
<Y>0.3381</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54271</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>57079</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0179</X>
<Y>0.3400</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54403</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>57080</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0181</X>
<Y>0.3419</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54526</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>57081</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0183</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54641</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57082</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0184</X>
<Y>0.3457</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54753</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>57083</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0184</X>
<Y>0.3476</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54865</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>57084</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0185</X>
<Y>0.3495</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57085</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0185</X>
<Y>0.3515</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55101</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>57086</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0185</X>
<Y>0.3534</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55226</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57087</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0184</X>
<Y>0.3553</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>57088</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0183</X>
<Y>0.3572</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55495</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57089</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0182</X>
<Y>0.3591</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55632</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57090</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0180</X>
<Y>0.3610</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55770</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57091</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0178</X>
<Y>0.3630</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>57092</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0175</X>
<Y>0.3649</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56043</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>57093</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0173</X>
<Y>0.3668</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56175</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>57094</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0170</X>
<Y>0.3687</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56305</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57095</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0166</X>
<Y>0.3706</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56444</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57096</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0162</X>
<Y>0.3725</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56592</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57097</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0158</X>
<Y>0.3744</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56755</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57098</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0154</X>
<Y>0.3763</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56942</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57099</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0149</X>
<Y>0.3782</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57153</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57100</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0143</X>
<Y>0.3801</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57384</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57101</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0138</X>
<Y>0.3819</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57623</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57102</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0132</X>
<Y>0.3838</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57861</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57103</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.3857</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58086</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57104</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0119</X>
<Y>0.3875</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58294</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57105</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0112</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58483</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57106</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0105</X>
<Y>0.3912</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58651</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57107</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0097</X>
<Y>0.3930</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58802</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57108</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0089</X>
<Y>0.3948</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57109</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0081</X>
<Y>0.3967</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59068</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57110</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0072</X>
<Y>0.3984</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57111</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0063</X>
<Y>0.4002</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59320</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57112</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0054</X>
<Y>0.4020</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59454</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57113</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0044</X>
<Y>0.4038</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59595</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57114</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0034</X>
<Y>0.4055</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57115</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0024</X>
<Y>0.4072</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59895</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57116</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0013</X>
<Y>0.4090</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60045</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>57117</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0002</X>
<Y>0.4107</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60192</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>57118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0009</X>
<Y>0.4123</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60333</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>57119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0021</X>
<Y>0.4140</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60472</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>57120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0032</X>
<Y>0.4157</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60607</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0045</X>
<Y>0.4173</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60737</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>57122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.4189</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60865</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>57123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0070</X>
<Y>0.4205</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60994</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>57124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0083</X>
<Y>0.4221</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61133</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>57125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0097</X>
<Y>0.4237</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61282</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0110</X>
<Y>0.4252</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61451</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0124</X>
<Y>0.4268</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61637</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0138</X>
<Y>0.4283</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61836</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0153</X>
<Y>0.4298</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62037</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0168</X>
<Y>0.4312</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62241</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>57131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.4327</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62434</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0198</X>
<Y>0.4341</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62609</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>57133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0214</X>
<Y>0.4355</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62765</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>57134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0230</X>
<Y>0.4369</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62909</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0246</X>
<Y>0.4382</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63043</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0263</X>
<Y>0.4396</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63163</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0279</X>
<Y>0.4409</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63279</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0296</X>
<Y>0.4421</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63397</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0313</X>
<Y>0.4434</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63518</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>57140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0331</X>
<Y>0.4446</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63641</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>57141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0348</X>
<Y>0.4458</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63766</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>57142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0366</X>
<Y>0.4470</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63890</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>57143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0384</X>
<Y>0.4482</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64011</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>57144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0403</X>
<Y>0.4493</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64134</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>57145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0421</X>
<Y>0.4504</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64252</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>57146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0440</X>
<Y>0.4515</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64361</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>57147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0459</X>
<Y>0.4525</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64457</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>57148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0478</X>
<Y>0.4536</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64542</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>57149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0497</X>
<Y>0.4545</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64620</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>57150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0517</X>
<Y>0.4555</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64698</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>57151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0536</X>
<Y>0.4564</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64785</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>57152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0556</X>
<Y>0.4573</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64887</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>57153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0576</X>
<Y>0.4582</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65006</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>57154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0597</X>
<Y>0.4591</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65133</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>57155</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0617</X>
<Y>0.4599</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65268</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>57156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0638</X>
<Y>0.4607</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65405</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>57157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0658</X>
<Y>0.4614</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65544</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>57158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0679</X>
<Y>0.4621</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65687</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>57159</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0700</X>
<Y>0.4628</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65823</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>57160</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0721</X>
<Y>0.4635</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65943</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>57161</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0742</X>
<Y>0.4641</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66048</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>57162</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0764</X>
<Y>0.4647</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66134</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>57163</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0785</X>
<Y>0.4653</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66209</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>57164</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0807</X>
<Y>0.4658</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66280</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>57165</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0828</X>
<Y>0.4663</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66342</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>57166</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0850</X>
<Y>0.4668</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66398</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>57167</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0872</X>
<Y>0.4672</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66456</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>57168</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0894</X>
<Y>0.4676</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66517</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>57169</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0916</X>
<Y>0.4680</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66581</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>57170</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0938</X>
<Y>0.4683</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66650</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>57171</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0961</X>
<Y>0.4686</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>57172</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0983</X>
<Y>0.4689</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66792</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>57173</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1005</X>
<Y>0.4691</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66853</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>57174</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1027</X>
<Y>0.4693</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66908</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>57175</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1050</X>
<Y>0.4695</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66956</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>57176</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1072</X>
<Y>0.4696</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66996</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>57177</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1095</X>
<Y>0.4697</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>57178</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1117</X>
<Y>0.4698</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67079</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>57179</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1140</X>
<Y>0.4698</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67132</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>57180</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1162</X>
<Y>0.4698</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67198</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>57181</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1185</X>
<Y>0.4698</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67277</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>57182</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1208</X>
<Y>0.4697</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67362</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>57183</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1230</X>
<Y>0.4696</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67451</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>57184</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1253</X>
<Y>0.4695</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67538</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>57185</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1275</X>
<Y>0.4693</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67617</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>57186</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1298</X>
<Y>0.4691</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67682</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>57187</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1320</X>
<Y>0.4689</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67737</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>57188</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1343</X>
<Y>0.4686</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67775</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>57189</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1365</X>
<Y>0.4683</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67800</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>57190</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1387</X>
<Y>0.4679</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>57191</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1410</X>
<Y>0.4675</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67833</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>57192</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1432</X>
<Y>0.4671</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67853</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>57193</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1454</X>
<Y>0.4667</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67883</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>57194</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1476</X>
<Y>0.4662</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67919</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>57195</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1498</X>
<Y>0.4657</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67959</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>57196</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1520</X>
<Y>0.4651</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67996</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>57197</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1542</X>
<Y>0.4646</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68029</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>57198</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1563</X>
<Y>0.4639</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68061</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>57199</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1585</X>
<Y>0.4633</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68090</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>57200</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1607</X>
<Y>0.4626</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>57201</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1628</X>
<Y>0.4619</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>57202</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1649</X>
<Y>0.4612</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68161</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>57203</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1670</X>
<Y>0.4604</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68168</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>57204</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1691</X>
<Y>0.4596</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68170</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57205</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1712</X>
<Y>0.4587</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68173</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>57206</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1733</X>
<Y>0.4578</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68181</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>57207</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1754</X>
<Y>0.4569</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68201</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>57208</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1774</X>
<Y>0.4560</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68238</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>57209</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1794</X>
<Y>0.4550</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>57210</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1814</X>
<Y>0.4540</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68347</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>57211</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1834</X>
<Y>0.4530</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68409</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57212</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1854</X>
<Y>0.4519</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68470</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57213</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1873</X>
<Y>0.4508</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68521</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57214</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1893</X>
<Y>0.4497</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68558</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57215</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1912</X>
<Y>0.4485</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68577</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>57216</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1931</X>
<Y>0.4473</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68582</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>57217</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1950</X>
<Y>0.4461</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68578</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>57218</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1968</X>
<Y>0.4449</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68572</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>57219</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1986</X>
<Y>0.4436</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68565</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>57220</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.4423</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68564</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>57221</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2022</X>
<Y>0.4410</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68570</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>57222</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2040</X>
<Y>0.4396</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68583</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57223</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2057</X>
<Y>0.4382</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68598</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57224</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2074</X>
<Y>0.4368</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68619</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>57225</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2091</X>
<Y>0.4354</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68641</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>57226</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2108</X>
<Y>0.4339</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68657</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>57227</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2124</X>
<Y>0.4324</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68670</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>57228</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2140</X>
<Y>0.4309</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68678</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>57229</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2156</X>
<Y>0.4294</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68684</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>57230</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2172</X>
<Y>0.4278</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68693</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>57231</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2187</X>
<Y>0.4262</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68702</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57232</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2202</X>
<Y>0.4246</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68716</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>57233</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2217</X>
<Y>0.4229</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68737</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>57234</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2231</X>
<Y>0.4213</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68765</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>