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<UT type="prediction"><UT1-UTC>0.40458</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40347</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40222</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40090</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39958</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39834</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39724</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39630</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39548</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39472</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39396</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39317</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39233</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39148</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39062</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38980</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38905</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38839</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38784</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38741</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38708</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38684</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38666</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38650</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38630</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38604</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38567</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38518</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38455</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38379</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37957</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37920</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37883</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37841</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37793</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37739</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37684</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37630</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37497</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37490</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37492</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37501</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37512</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37521</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37514</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37492</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37455</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1462</X>
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<UT type="prediction"><UT1-UTC>0.37407</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1476</X>
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<UT type="prediction"><UT1-UTC>0.37350</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36677</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36678</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36684</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36656</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36346</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36281</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35988</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35753</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35668</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35588</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35516</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35453</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35401</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35321</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35286</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35249</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35205</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34992</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34772</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34523</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34404</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34294</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34195</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34104</UT1-UTC>
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<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1959</X>
<Y>0.3711</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34014</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1960</X>
<Y>0.3697</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33922</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1959</X>
<Y>0.3682</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33820</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>0.1959</X>
<Y>0.3668</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33705</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>0.1958</X>
<Y>0.3654</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33579</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>0.1957</X>
<Y>0.3640</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33443</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>0.1956</X>
<Y>0.3626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33305</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>0.1955</X>
<Y>0.3612</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33168</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>0.1953</X>
<Y>0.3598</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33037</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>0.1951</X>
<Y>0.3583</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32917</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>0.1949</X>
<Y>0.3569</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32806</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>0.1946</X>
<Y>0.3555</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32706</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>0.1943</X>
<Y>0.3541</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32614</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>0.1940</X>
<Y>0.3528</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32526</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>0.1937</X>
<Y>0.3514</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32437</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>0.1933</X>
<Y>0.3500</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32344</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>0.1929</X>
<Y>0.3486</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32242</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>0.1925</X>
<Y>0.3473</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32126</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>0.1921</X>
<Y>0.3459</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31994</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>0.1916</X>
<Y>0.3445</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31845</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>0.1911</X>
<Y>0.3432</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31680</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>0.1906</X>
<Y>0.3419</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31505</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>0.1900</X>
<Y>0.3405</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31327</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>0.1895</X>
<Y>0.3392</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31153</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>0.1889</X>
<Y>0.3379</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30990</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>0.1883</X>
<Y>0.3366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30841</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>0.1876</X>
<Y>0.3353</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30703</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>0.1870</X>
<Y>0.3340</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30571</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>0.1863</X>
<Y>0.3327</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30439</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>0.1856</X>
<Y>0.3315</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30302</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>0.1848</X>
<Y>0.3302</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30155</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>0.1841</X>
<Y>0.3290</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29997</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>0.1833</X>
<Y>0.3278</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29829</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>0.1825</X>
<Y>0.3265</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29657</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1816</X>
<Y>0.3253</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29485</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1808</X>
<Y>0.3242</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29317</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1799</X>
<Y>0.3230</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29158</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>0.1790</X>
<Y>0.3218</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29009</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>0.1781</X>
<Y>0.3207</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28872</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>0.1772</X>
<Y>0.3195</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28745</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>0.1762</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28626</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>0.1752</X>
<Y>0.3173</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28511</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>0.1742</X>
<Y>0.3162</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28396</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>0.1732</X>
<Y>0.3152</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28276</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>0.1722</X>
<Y>0.3141</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28146</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1711</X>
<Y>0.3131</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28005</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1700</X>
<Y>0.3121</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27848</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>0.1689</X>
<Y>0.3111</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27676</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>0.1678</X>
<Y>0.3101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27491</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>0.1667</X>
<Y>0.3091</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27300</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>0.1655</X>
<Y>0.3082</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27110</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1644</X>
<Y>0.3072</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26931</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>0.1632</X>
<Y>0.3063</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26766</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>0.1620</X>
<Y>0.3054</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26617</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>0.1608</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26477</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>0.1595</X>
<Y>0.3037</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26341</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>0.1583</X>
<Y>0.3028</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26201</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>0.1570</X>
<Y>0.3020</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26052</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>0.1557</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25894</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>0.1544</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25728</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>58071</MJD>
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<UT type="prediction"><UT1-UTC>0.25559</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25229</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25076</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24937</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24812</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24701</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24603</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24515</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24432</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24343</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24245</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24135</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24014</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.23870</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23705</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1307</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23528</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1293</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23349</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1278</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23168</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22997</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22840</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22695</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22560</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22430</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22299</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1173</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22162</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22017</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21867</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1128</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21719</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21573</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1098</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21429</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1083</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21294</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1067</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21170</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.21062</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.20966</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20879</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20797</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0992</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20711</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0977</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20617</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0962</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20514</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0947</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20401</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0932</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20274</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0918</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20134</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0903</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19986</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0888</X>
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<UT type="prediction"><UT1-UTC>0.19828</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.19663</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0859</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19496</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0844</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19337</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0830</X>
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<UT type="prediction"><UT1-UTC>0.19186</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.19046</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.18910</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0787</X>
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<UT type="prediction"><UT1-UTC>0.18768</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0773</X>
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<UT type="prediction"><UT1-UTC>0.18618</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0759</X>
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<UT type="prediction"><UT1-UTC>0.18458</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0746</X>
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<UT type="prediction"><UT1-UTC>0.18293</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0732</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18128</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0718</X>
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<UT type="prediction"><UT1-UTC>0.17973</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0705</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17831</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0691</X>
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<UT type="prediction"><UT1-UTC>0.17699</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0678</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17582</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58131</MJD>
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<dataEOP><pole type="prediction"><X>0.0665</X>
<Y>0.2960</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17482</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0652</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17400</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0639</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17330</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0626</X>
<Y>0.2979</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17268</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0614</X>
<Y>0.2986</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17210</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>0.0601</X>
<Y>0.2993</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17145</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0589</X>
<Y>0.3001</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17064</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>0.0577</X>
<Y>0.3008</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16966</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0565</X>
<Y>0.3016</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16852</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0553</X>
<Y>0.3024</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16726</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>0.0542</X>
<Y>0.3032</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16590</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0530</X>
<Y>0.3040</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16448</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0519</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16305</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>0.0508</X>
<Y>0.3057</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16165</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>0.0497</X>
<Y>0.3066</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16028</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0486</X>
<Y>0.3075</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15893</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>0.0476</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15763</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>0.0465</X>
<Y>0.3093</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15636</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>0.0455</X>
<Y>0.3103</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15497</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0445</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15339</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0435</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15169</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0426</X>
<Y>0.3132</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14990</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0416</X>
<Y>0.3142</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14806</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0407</X>
<Y>0.3152</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14620</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0398</X>
<Y>0.3163</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14435</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0390</X>
<Y>0.3173</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14258</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0381</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14088</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0373</X>
<Y>0.3195</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13935</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0365</X>
<Y>0.3206</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13800</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0357</X>
<Y>0.3217</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13673</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0349</X>
<Y>0.3228</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13552</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0342</X>
<Y>0.3239</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13436</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0335</X>
<Y>0.3250</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13319</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0328</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13196</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0321</X>
<Y>0.3274</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13065</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0315</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12923</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0308</X>
<Y>0.3297</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12768</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0302</X>
<Y>0.3309</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12606</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0297</X>
<Y>0.3321</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12438</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0291</X>
<Y>0.3333</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12268</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0286</X>
<Y>0.3345</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12100</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0281</X>
<Y>0.3358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11936</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>0.0276</X>
<Y>0.3370</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11782</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0271</X>
<Y>0.3382</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11633</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0267</X>
<Y>0.3395</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11484</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0263</X>
<Y>0.3407</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11329</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0259</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11160</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0256</X>
<Y>0.3433</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10973</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0253</X>
<Y>0.3446</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10771</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0250</X>
<Y>0.3458</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10555</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0247</X>
<Y>0.3471</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10329</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>58182</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0244</X>
<Y>0.3484</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10103</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0242</X>
<Y>0.3497</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09884</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0240</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09677</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0238</X>
<Y>0.3523</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09484</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0237</X>
<Y>0.3536</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09301</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0236</X>
<Y>0.3549</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09124</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>58188</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0235</X>
<Y>0.3562</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08953</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>58189</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0234</X>
<Y>0.3575</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08785</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>58190</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0234</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08611</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
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