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<UT type="prediction"><UT1-UTC>0.39070</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37970</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37791</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37771</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37762</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37762</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37769</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37778</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36966</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36966</UT1-UTC>
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<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1959</X>
<Y>0.3817</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35005</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>0.1962</X>
<Y>0.3802</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34878</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>0.1964</X>
<Y>0.3788</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34750</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>0.1965</X>
<Y>0.3774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34628</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>0.1967</X>
<Y>0.3760</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34516</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>0.1968</X>
<Y>0.3746</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34413</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>0.1969</X>
<Y>0.3732</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34319</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>0.1970</X>
<Y>0.3717</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34226</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>0.1970</X>
<Y>0.3703</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34130</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>0.1970</X>
<Y>0.3689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34025</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>0.1970</X>
<Y>0.3675</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33908</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>0.1969</X>
<Y>0.3661</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33778</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>0.1969</X>
<Y>0.3646</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33640</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>0.1968</X>
<Y>0.3632</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33499</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>0.1966</X>
<Y>0.3618</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33361</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>0.1965</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33229</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>0.1963</X>
<Y>0.3590</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33107</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>0.1961</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32996</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>0.1959</X>
<Y>0.3562</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32895</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>0.1956</X>
<Y>0.3548</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32803</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>0.1953</X>
<Y>0.3534</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32715</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>0.1950</X>
<Y>0.3520</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32627</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>0.1947</X>
<Y>0.3506</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32534</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>0.1943</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32432</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>0.1939</X>
<Y>0.3478</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32316</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>0.1935</X>
<Y>0.3465</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32185</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>0.1930</X>
<Y>0.3451</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32036</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>0.1926</X>
<Y>0.3437</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31871</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>0.1921</X>
<Y>0.3424</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31695</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>0.1915</X>
<Y>0.3411</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31516</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>0.1910</X>
<Y>0.3397</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31342</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>0.1904</X>
<Y>0.3384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31178</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>0.1898</X>
<Y>0.3371</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31028</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>0.1892</X>
<Y>0.3358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30888</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>0.1885</X>
<Y>0.3345</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30755</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>0.1879</X>
<Y>0.3332</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30621</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>0.1872</X>
<Y>0.3319</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30481</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>0.1864</X>
<Y>0.3307</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30332</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>0.1857</X>
<Y>0.3294</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30172</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>0.1849</X>
<Y>0.3282</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30004</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>0.1841</X>
<Y>0.3270</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29831</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>0.1833</X>
<Y>0.3258</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29660</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>0.3246</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29495</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>0.1816</X>
<Y>0.3234</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29341</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>0.1808</X>
<Y>0.3222</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29199</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>0.1799</X>
<Y>0.3210</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29070</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>0.1789</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28951</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>0.1780</X>
<Y>0.3188</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28840</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>0.1770</X>
<Y>0.3177</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28734</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>0.1760</X>
<Y>0.3166</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28626</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>0.1750</X>
<Y>0.3155</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28512</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>0.1740</X>
<Y>0.3144</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28388</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>0.1730</X>
<Y>0.3134</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28249</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>0.1719</X>
<Y>0.3123</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28093</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>0.1708</X>
<Y>0.3113</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27920</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>0.1697</X>
<Y>0.3103</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27734</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>0.1686</X>
<Y>0.3093</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27541</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>0.1674</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27350</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>0.1663</X>
<Y>0.3074</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27170</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>0.1651</X>
<Y>0.3065</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27005</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>0.1639</X>
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<UT type="prediction"><UT1-UTC>0.26858</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26725</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26598</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26469</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26332</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26186</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26033</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25870</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25702</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25537</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25381</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25232</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25094</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24967</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24851</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24742</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24640</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24541</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24435</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24317</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24183</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.24036</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23871</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.23689</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.23500</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.23315</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.23144</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22989</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22848</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22716</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22582</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22440</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22291</UT1-UTC>
</UT>
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</pole>
<UT type="prediction"><UT1-UTC>0.22137</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.21979</UT1-UTC>
</UT>
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</pole>
<UT type="prediction"><UT1-UTC>0.21823</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21674</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21532</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21395</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21262</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1074</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21138</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21022</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20916</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20815</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20714</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.20608</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20492</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0968</X>
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<UT type="prediction"><UT1-UTC>0.20364</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20224</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20076</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19920</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19757</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19596</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19447</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.19314</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0851</X>
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<UT type="prediction"><UT1-UTC>0.19199</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.19096</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.18998</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0808</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18893</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0794</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18772</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0780</X>
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<UT type="prediction"><UT1-UTC>0.18636</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0766</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18493</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0752</X>
<Y>0.2922</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18350</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0739</X>
<Y>0.2927</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18213</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0725</X>
<Y>0.2933</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18085</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0712</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17970</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>0.0698</X>
<Y>0.2944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17868</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0685</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17773</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0672</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17681</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58133</MJD>
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<dataEOP><pole type="prediction"><X>0.0659</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17595</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0646</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17512</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0634</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17423</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0621</X>
<Y>0.2983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17320</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0609</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17209</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0597</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17089</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0585</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16954</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>0.0573</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16802</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0561</X>
<Y>0.3020</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16634</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0550</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16454</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58143</MJD>
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<dataEOP><pole type="prediction"><X>0.0538</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16267</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58144</MJD>
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<dataEOP><pole type="prediction"><X>0.0527</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16087</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0516</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15922</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0505</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15765</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0495</X>
<Y>0.3072</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15618</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0484</X>
<Y>0.3081</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15478</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0474</X>
<Y>0.3090</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15336</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0464</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15186</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58151</MJD>
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<dataEOP><pole type="prediction"><X>0.0454</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15028</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0444</X>
<Y>0.3119</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14862</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0435</X>
<Y>0.3129</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14692</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58154</MJD>
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<dataEOP><pole type="prediction"><X>0.0426</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14528</UT1-UTC>
</UT>
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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>0.0417</X>
<Y>0.3149</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14373</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58156</MJD>
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<dataEOP><pole type="prediction"><X>0.0408</X>
<Y>0.3160</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14229</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0399</X>
<Y>0.3170</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14098</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0391</X>
<Y>0.3181</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13975</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0382</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13865</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0375</X>
<Y>0.3202</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13761</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0367</X>
<Y>0.3213</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13656</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0359</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13549</UT1-UTC>
</UT>
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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>0.0352</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13433</UT1-UTC>
</UT>
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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>0.0345</X>
<Y>0.3247</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13305</UT1-UTC>
</UT>
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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>0.0338</X>
<Y>0.3259</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13163</UT1-UTC>
</UT>
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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>0.0332</X>
<Y>0.3270</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13003</UT1-UTC>
</UT>
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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>0.0325</X>
<Y>0.3282</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12822</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0319</X>
<Y>0.3294</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12625</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58169</MJD>
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<dataEOP><pole type="prediction"><X>0.0313</X>
<Y>0.3305</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12418</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0308</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12208</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0302</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12000</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0297</X>
<Y>0.3342</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11797</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0292</X>
<Y>0.3354</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11598</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0288</X>
<Y>0.3366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11408</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0283</X>
<Y>0.3379</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11222</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0279</X>
<Y>0.3391</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11029</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0275</X>
<Y>0.3403</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10823</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0272</X>
<Y>0.3416</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10603</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0268</X>
<Y>0.3429</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10366</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0265</X>
<Y>0.3441</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10118</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0262</X>
<Y>0.3454</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09861</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58182</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0260</X>
<Y>0.3467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09602</UT1-UTC>
</UT>
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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>0.0257</X>
<Y>0.3480</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09351</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>58184</MJD>
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