<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>BulletinA</product>
<date>2017-07-13</date>
<volume>XXX</volume>
<number>028</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>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>57925</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-103.13</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-12.19</dEpsilon>
<sigma_dEpsilon>0.01</sigma_dEpsilon>
<dX>-0.019</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.132</dY>
<sigma_dY>0.010</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>57926</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-103.63</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-12.36</dEpsilon>
<sigma_dEpsilon>0.01</sigma_dEpsilon>
<dX>-0.021</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.126</dY>
<sigma_dY>0.010</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>57927</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-104.06</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-12.59</dEpsilon>
<sigma_dEpsilon>0.01</sigma_dEpsilon>
<dX>-0.019</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.124</dY>
<sigma_dY>0.010</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>57928</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-104.27</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-12.67</dEpsilon>
<sigma_dEpsilon>0.01</sigma_dEpsilon>
<dX>-0.034</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.126</dY>
<sigma_dY>0.010</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>57929</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-104.11</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-12.55</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>-0.047</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.124</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>57930</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-103.66</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-12.41</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>-0.041</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.126</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>57931</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-103.25</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-12.42</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>-0.025</dX>
<sigma_dX>0.044</sigma_dX>
<dY>0.139</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>57941</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.17494</X>
<sigma_X>.00009</sigma_X>
<Y>0.44597</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.357574</UT1-UTC>
<sigma_UT1-UTC>0.000014</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>57942</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.17771</X>
<sigma_X>.00009</sigma_X>
<Y>0.44529</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.357492</UT1-UTC>
<sigma_UT1-UTC>0.000014</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57943</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.18008</X>
<sigma_X>.00009</sigma_X>
<Y>0.44467</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.357417</UT1-UTC>
<sigma_UT1-UTC>0.000014</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57944</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.18199</X>
<sigma_X>.00009</sigma_X>
<Y>0.44387</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.357323</UT1-UTC>
<sigma_UT1-UTC>0.000011</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57945</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.18364</X>
<sigma_X>.00009</sigma_X>
<Y>0.44283</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.357129</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57946</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.18528</X>
<sigma_X>.00009</sigma_X>
<Y>0.44174</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.356778</UT1-UTC>
<sigma_UT1-UTC>0.000009</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>57947</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.18710</X>
<sigma_X>.00009</sigma_X>
<Y>0.44058</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.356306</UT1-UTC>
<sigma_UT1-UTC>0.000009</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>57948</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1889</X>
<Y>0.4395</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>57949</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1908</X>
<Y>0.4384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35513</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>57950</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1925</X>
<Y>0.4374</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35450</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>57951</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1940</X>
<Y>0.4363</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35387</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>57952</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1954</X>
<Y>0.4353</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35328</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>57953</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1967</X>
<Y>0.4342</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35276</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57954</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.4330</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35235</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57955</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1994</X>
<Y>0.4318</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35204</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>57956</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2007</X>
<Y>0.4306</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35180</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>57957</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2020</X>
<Y>0.4294</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35156</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>57958</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2033</X>
<Y>0.4281</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35125</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>57959</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2046</X>
<Y>0.4268</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35079</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>57960</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2058</X>
<Y>0.4255</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35018</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>57961</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2070</X>
<Y>0.4242</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34950</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>57962</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2082</X>
<Y>0.4229</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57963</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2092</X>
<Y>0.4216</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34815</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>57964</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2102</X>
<Y>0.4202</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34760</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>57965</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2111</X>
<Y>0.4188</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34715</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>57966</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2121</X>
<Y>0.4174</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34683</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>57967</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2130</X>
<Y>0.4159</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34662</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>57968</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2139</X>
<Y>0.4144</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34651</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>57969</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2147</X>
<Y>0.4129</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34647</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>57970</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2155</X>
<Y>0.4114</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34646</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>57971</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2163</X>
<Y>0.4099</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34644</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>57972</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2170</X>
<Y>0.4084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34636</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>57973</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2177</X>
<Y>0.4069</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34618</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>57974</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2184</X>
<Y>0.4053</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34585</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>57975</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2190</X>
<Y>0.4038</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34536</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>57976</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2196</X>
<Y>0.4022</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34471</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>57977</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2202</X>
<Y>0.4006</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34395</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>57978</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2208</X>
<Y>0.3990</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34312</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>57979</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2213</X>
<Y>0.3974</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34227</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>57980</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2218</X>
<Y>0.3958</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34146</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>57981</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2222</X>
<Y>0.3941</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34072</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>57982</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2226</X>
<Y>0.3925</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34006</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>57983</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2230</X>
<Y>0.3908</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33946</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>57984</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2234</X>
<Y>0.3892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33887</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>57985</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2237</X>
<Y>0.3875</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>57986</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2240</X>
<Y>0.3858</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33746</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>57987</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2242</X>
<Y>0.3841</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33658</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>57988</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2244</X>
<Y>0.3825</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33561</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>57989</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2246</X>
<Y>0.3808</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33457</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>57990</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2248</X>
<Y>0.3791</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33354</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>57991</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2249</X>
<Y>0.3774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33256</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>57992</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2250</X>
<Y>0.3756</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33166</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>57993</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2250</X>
<Y>0.3739</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33087</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>57994</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2250</X>
<Y>0.3722</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33019</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>57995</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2250</X>
<Y>0.3705</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32960</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>57996</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2250</X>
<Y>0.3688</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32908</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>57997</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2249</X>
<Y>0.3671</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32859</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>57998</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2248</X>
<Y>0.3653</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32808</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>57999</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2246</X>
<Y>0.3636</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32750</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>58000</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2244</X>
<Y>0.3619</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32681</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2242</X>
<Y>0.3602</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32597</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2240</X>
<Y>0.3584</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2237</X>
<Y>0.3567</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32378</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2234</X>
<Y>0.3550</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32247</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2230</X>
<Y>0.3533</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32109</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2227</X>
<Y>0.3516</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31972</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2223</X>
<Y>0.3499</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31842</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2218</X>
<Y>0.3482</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2213</X>
<Y>0.3465</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31614</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2208</X>
<Y>0.3448</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31516</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2203</X>
<Y>0.3431</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31420</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2197</X>
<Y>0.3414</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2191</X>
<Y>0.3397</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2185</X>
<Y>0.3381</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31098</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2178</X>
<Y>0.3364</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30969</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2171</X>
<Y>0.3347</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30832</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>58017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2164</X>
<Y>0.3331</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2156</X>
<Y>0.3315</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30556</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2148</X>
<Y>0.3298</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30427</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2140</X>
<Y>0.3282</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30308</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2131</X>
<Y>0.3266</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30201</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2122</X>
<Y>0.3250</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30104</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2113</X>
<Y>0.3234</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30016</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2104</X>
<Y>0.3219</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29933</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2094</X>
<Y>0.3203</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29851</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2084</X>
<Y>0.3188</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29765</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2074</X>
<Y>0.3172</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29670</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2063</X>
<Y>0.3157</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29563</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2052</X>
<Y>0.3142</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29441</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2041</X>
<Y>0.3127</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29301</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2029</X>
<Y>0.3113</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29146</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2018</X>
<Y>0.3098</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28811</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1993</X>
<Y>0.3069</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28645</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.3055</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28491</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1968</X>
<Y>0.3041</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28349</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1955</X>
<Y>0.3028</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28219</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1941</X>
<Y>0.3014</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28095</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1928</X>
<Y>0.3001</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27971</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1914</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27842</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1899</X>
<Y>0.2975</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27704</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1885</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27555</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1870</X>
<Y>0.2949</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27398</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1856</X>
<Y>0.2937</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27236</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1840</X>
<Y>0.2925</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27075</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1825</X>
<Y>0.2913</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26920</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1810</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26774</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1794</X>
<Y>0.2890</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26639</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1778</X>
<Y>0.2878</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26516</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1762</X>
<Y>0.2867</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26403</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1745</X>
<Y>0.2857</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26298</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1729</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26195</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1712</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26091</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1695</X>
<Y>0.2826</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1677</X>
<Y>0.2816</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25859</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1660</X>
<Y>0.2806</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25720</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1642</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25565</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1625</X>
<Y>0.2788</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25394</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1607</X>
<Y>0.2779</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25210</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1589</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25018</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1570</X>
<Y>0.2762</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24827</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1552</X>
<Y>0.2754</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24646</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1534</X>
<Y>0.2747</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24478</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1515</X>
<Y>0.2739</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24324</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1496</X>
<Y>0.2732</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24182</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1477</X>
<Y>0.2725</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1458</X>
<Y>0.2718</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23904</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1439</X>
<Y>0.2712</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23757</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1419</X>
<Y>0.2706</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23602</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1400</X>
<Y>0.2700</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23441</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1380</X>
<Y>0.2695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23276</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1361</X>
<Y>0.2690</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23111</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1341</X>
<Y>0.2685</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1321</X>
<Y>0.2680</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22803</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1301</X>
<Y>0.2676</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22665</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1281</X>
<Y>0.2672</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22539</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1261</X>
<Y>0.2668</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22425</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1241</X>
<Y>0.2664</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22321</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1220</X>
<Y>0.2661</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1200</X>
<Y>0.2659</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22125</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1180</X>
<Y>0.2656</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22026</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1159</X>
<Y>0.2654</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21919</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1139</X>
<Y>0.2652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21801</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1118</X>
<Y>0.2650</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21669</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1098</X>
<Y>0.2649</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21522</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1077</X>
<Y>0.2648</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21362</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>58087</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1057</X>
<Y>0.2647</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21192</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1036</X>
<Y>0.2647</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21017</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1016</X>
<Y>0.2647</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20847</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0995</X>
<Y>0.2647</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20687</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0974</X>
<Y>0.2648</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20541</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0954</X>
<Y>0.2649</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20407</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0933</X>
<Y>0.2650</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20281</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0913</X>
<Y>0.2651</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20154</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0892</X>
<Y>0.2653</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20022</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>58096</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0872</X>
<Y>0.2655</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19883</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>58097</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0852</X>
<Y>0.2658</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19737</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>58098</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0831</X>
<Y>0.2661</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19588</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>58099</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0811</X>
<Y>0.2664</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19441</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>58100</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0791</X>
<Y>0.2667</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>58101</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0770</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19167</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0750</X>
<Y>0.2675</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19047</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0730</X>
<Y>0.2679</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0710</X>
<Y>0.2684</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18843</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0690</X>
<Y>0.2688</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18757</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0671</X>
<Y>0.2694</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0651</X>
<Y>0.2699</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18604</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0631</X>
<Y>0.2705</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18528</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0612</X>
<Y>0.2711</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18446</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0592</X>
<Y>0.2718</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18355</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0573</X>
<Y>0.2724</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18251</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0554</X>
<Y>0.2731</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18135</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0535</X>
<Y>0.2739</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18005</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0516</X>
<Y>0.2746</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0497</X>
<Y>0.2754</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17720</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0479</X>
<Y>0.2763</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17573</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0460</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17433</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0442</X>
<Y>0.2780</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17303</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0424</X>
<Y>0.2789</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17185</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0406</X>
<Y>0.2798</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17075</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0388</X>
<Y>0.2808</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16966</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0371</X>
<Y>0.2818</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16852</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0354</X>
<Y>0.2828</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16729</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0336</X>
<Y>0.2838</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16598</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0319</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16462</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0303</X>
<Y>0.2860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16326</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0286</X>
<Y>0.2871</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16197</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0270</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16078</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0253</X>
<Y>0.2895</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15972</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0237</X>
<Y>0.2907</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15881</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0222</X>
<Y>0.2919</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15804</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0206</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15740</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0191</X>
<Y>0.2945</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15686</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0176</X>
<Y>0.2958</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15638</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0161</X>
<Y>0.2971</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15592</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0147</X>
<Y>0.2984</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15543</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0132</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0118</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15416</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0104</X>
<Y>0.3026</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15331</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0091</X>
<Y>0.3041</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15229</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0078</X>
<Y>0.3055</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15113</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0065</X>
<Y>0.3070</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14987</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0052</X>
<Y>0.3085</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14854</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0040</X>
<Y>0.3101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0027</X>
<Y>0.3116</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14596</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0016</X>
<Y>0.3132</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14477</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0004</X>
<Y>0.3148</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14363</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0007</X>
<Y>0.3164</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14249</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0018</X>
<Y>0.3180</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14127</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0029</X>
<Y>0.3197</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13992</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.3213</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13841</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0049</X>
<Y>0.3230</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0059</X>
<Y>0.3247</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.3264</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13346</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0078</X>
<Y>0.3281</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13188</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0087</X>
<Y>0.3299</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13043</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0095</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12912</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0103</X>
<Y>0.3334</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12795</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0111</X>
<Y>0.3352</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12690</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0119</X>
<Y>0.3370</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12593</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.3388</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12502</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0133</X>
<Y>0.3406</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12411</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0139</X>
<Y>0.3425</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12315</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0145</X>
<Y>0.3443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12210</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0151</X>
<Y>0.3462</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12092</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0157</X>
<Y>0.3481</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11961</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0162</X>
<Y>0.3500</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11817</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0167</X>
<Y>0.3519</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11663</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0171</X>
<Y>0.3538</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11501</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0175</X>
<Y>0.3557</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11337</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0179</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11172</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0182</X>
<Y>0.3595</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0185</X>
<Y>0.3614</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10858</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0188</X>
<Y>0.3634</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10720</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0190</X>
<Y>0.3653</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10586</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0192</X>
<Y>0.3673</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10443</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0194</X>
<Y>0.3692</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10287</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0195</X>
<Y>0.3712</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10115</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0196</X>
<Y>0.3732</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09928</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0197</X>
<Y>0.3751</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0197</X>
<Y>0.3771</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09533</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>58182</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0197</X>
<Y>0.3791</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09337</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0196</X>
<Y>0.3811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0196</X>
<Y>0.3830</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08966</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0194</X>
<Y>0.3850</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08798</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0193</X>
<Y>0.3870</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08639</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0191</X>
<Y>0.3890</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08488</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>58188</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0189</X>
<Y>0.3909</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08345</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>58189</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0186</X>
<Y>0.3929</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08208</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>58190</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0183</X>
<Y>0.3949</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08070</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>58191</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0180</X>
<Y>0.3969</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07926</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>58192</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0176</X>
<Y>0.3988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07770</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>58193</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0172</X>
<Y>0.4008</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07601</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0167</X>
<Y>0.4027</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07419</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>58195</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0162</X>
<Y>0.4047</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07228</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>58196</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0157</X>
<Y>0.4066</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>58197</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0152</X>
<Y>0.4086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06837</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>58198</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0146</X>
<Y>0.4105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06651</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>58199</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0140</X>
<Y>0.4124</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06478</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>58200</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0133</X>
<Y>0.4144</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06319</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.4163</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06172</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0119</X>
<Y>0.4182</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06030</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>58203</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0112</X>
<Y>0.4201</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05882</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>58204</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0104</X>
<Y>0.4220</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05719</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>58205</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0095</X>
<Y>0.4238</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05540</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>58206</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0087</X>
<Y>0.4257</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05341</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>58207</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0078</X>
<Y>0.4276</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05128</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>58208</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.4294</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>58209</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0059</X>
<Y>0.4312</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04687</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>58210</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0049</X>
<Y>0.4330</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04473</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>58211</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.4349</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04269</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>58212</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0028</X>
<Y>0.4366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04081</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>58213</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0017</X>
<Y>0.4384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03914</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>58214</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0006</X>
<Y>0.4402</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03764</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>58215</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0005</X>
<Y>0.4419</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03627</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>58216</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0017</X>
<Y>0.4437</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03495</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>58217</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0029</X>
<Y>0.4454</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03366</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>58218</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0042</X>
<Y>0.4471</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03234</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>58219</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0054</X>
<Y>0.4487</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03094</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>58220</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0067</X>
<Y>0.4504</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02944</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>58221</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0081</X>
<Y>0.4520</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02784</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>58222</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0094</X>
<Y>0.4537</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02616</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>58223</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0108</X>
<Y>0.4553</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02436</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>58224</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0122</X>
<Y>0.4569</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02248</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>58225</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0137</X>
<Y>0.4584</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02061</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>58226</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0152</X>
<Y>0.4600</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01879</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>58227</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0167</X>
<Y>0.4615</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01705</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>58228</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0182</X>
<Y>0.4630</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01547</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>58229</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0197</X>
<Y>0.4645</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01401</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>58230</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0213</X>
<Y>0.4659</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01255</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>58231</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0229</X>
<Y>0.4674</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01107</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>58232</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0246</X>
<Y>0.4688</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00951</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>58233</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0262</X>
<Y>0.4702</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00781</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>58234</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0279</X>
<Y>0.4716</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00601</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>58235</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0296</X>
<Y>0.4729</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00416</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>58236</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0313</X>
<Y>0.4742</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00234</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>58237</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0331</X>
<Y>0.4755</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00059</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>58238</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0348</X>
<Y>0.4768</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00103</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>58239</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0366</X>
<Y>0.4780</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00247</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>58240</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0385</X>
<Y>0.4792</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00371</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>58241</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0403</X>
<Y>0.4804</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00479</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>58242</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0421</X>
<Y>0.4816</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00576</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>58243</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0440</X>
<Y>0.4827</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00666</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>58244</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0459</X>
<Y>0.4838</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00755</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>58245</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0478</X>
<Y>0.4849</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00844</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>58246</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0498</X>
<Y>0.4860</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>58247</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0517</X>
<Y>0.4870</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01046</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>58248</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0537</X>
<Y>0.4880</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01170</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>58249</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0557</X>
<Y>0.4890</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01310</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>58250</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0577</X>
<Y>0.4899</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01465</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>58251</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0597</X>
<Y>0.4908</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>58252</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0617</X>
<Y>0.4917</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01779</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>58253</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0638</X>
<Y>0.4925</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01932</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>58254</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0658</X>
<Y>0.4934</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02073</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>58255</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0679</X>
<Y>0.4942</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02196</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>58256</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0700</X>
<Y>0.4949</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02305</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>58257</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0721</X>
<Y>0.4956</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02405</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>58258</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0742</X>
<Y>0.4963</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02503</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>58259</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0763</X>
<Y>0.4970</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02605</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>58260</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0785</X>
<Y>0.4976</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02711</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>58261</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0806</X>
<Y>0.4982</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>58262</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0827</X>
<Y>0.4988</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02936</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>58263</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0849</X>
<Y>0.4994</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03053</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>58264</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0871</X>
<Y>0.4999</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03168</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>58265</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0893</X>
<Y>0.5003</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03273</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>58266</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0914</X>
<Y>0.5008</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03361</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>58267</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0936</X>
<Y>0.5012</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03442</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>58268</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0958</X>
<Y>0.5016</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03514</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>58269</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0980</X>
<Y>0.5019</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>58270</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1002</X>
<Y>0.5022</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03625</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>58271</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1024</X>
<Y>0.5025</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03675</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>58272</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1046</X>
<Y>0.5027</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03725</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>58273</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1069</X>
<Y>0.5030</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03780</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>58274</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1091</X>
<Y>0.5031</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03843</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>58275</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1113</X>
<Y>0.5033</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03914</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>58276</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1135</X>
<Y>0.5034</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03991</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>58277</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1157</X>
<Y>0.5035</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04075</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>58278</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1180</X>
<Y>0.5035</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04166</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>58279</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1202</X>
<Y>0.5035</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>58280</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1224</X>
<Y>0.5035</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04361</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>58281</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1246</X>
<Y>0.5034</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04449</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>58282</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1268</X>
<Y>0.5034</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04528</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>58283</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1290</X>
<Y>0.5032</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04600</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>58284</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1312</X>
<Y>0.5031</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04666</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>58285</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1334</X>
<Y>0.5029</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04729</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>58286</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1356</X>
<Y>0.5027</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04794</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>58287</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1378</X>
<Y>0.5024</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04867</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>58288</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1400</X>
<Y>0.5021</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04947</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>58289</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1422</X>
<Y>0.5018</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>58290</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1443</X>
<Y>0.5014</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05122</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>58291</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1465</X>
<Y>0.5011</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05208</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>58292</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1487</X>
<Y>0.5006</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05284</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>58293</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1508</X>
<Y>0.5002</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05345</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>58294</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1529</X>
<Y>0.4997</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05392</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>58295</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1551</X>
<Y>0.4992</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>58296</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1572</X>
<Y>0.4986</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05439</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>58297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1593</X>
<Y>0.4980</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05448</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>58298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1613</X>
<Y>0.4974</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05458</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>58299</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1634</X>
<Y>0.4968</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05475</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>58300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1655</X>
<Y>0.4961</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05498</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>58301</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1675</X>
<Y>0.4954</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05531</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>58302</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1696</X>
<Y>0.4946</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05572</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1716</X>
<Y>0.4939</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>58304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1736</X>
<Y>0.4930</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05683</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>58305</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1755</X>
<Y>0.4922</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05752</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>58306</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1775</X>
<Y>0.4913</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05828</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>58307</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1795</X>
<Y>0.4904</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05906</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>58308</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1814</X>
<Y>0.4895</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05978</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>58309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1833</X>
<Y>0.4886</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06038</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>58310</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1852</X>
<Y>0.4876</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06083</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>58311</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1871</X>
<Y>0.4866</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>58312</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1889</X>
<Y>0.4855</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06151</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>