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<UT type="prediction"><UT1-UTC>0.43184</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.43031</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.42894</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.42767</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.42644</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.42519</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.42389</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.42254</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.42115</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41976</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41840</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41710</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41589</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41478</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41379</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41290</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41209</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41133</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41057</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40978</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40890</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40791</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40677</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40548</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40407</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40260</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40114</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39978</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39858</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39753</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39660</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39573</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39486</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39394</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39297</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39198</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39098</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39003</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38914</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38835</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38769</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38714</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38670</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38635</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38606</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38578</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38549</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38512</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38466</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38407</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38335</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38252</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38160</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38066</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37977</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37898</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37834</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37782</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1164</X>
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<UT type="prediction"><UT1-UTC>0.37737</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1181</X>
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<MJD>57990</MJD>
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<dataEOP><pole type="prediction"><X>0.1929</X>
<Y>0.3986</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35342</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>57991</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1935</X>
<Y>0.3973</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35256</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>57992</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1941</X>
<Y>0.3960</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>57993</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1946</X>
<Y>0.3946</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35110</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>57994</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1951</X>
<Y>0.3932</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35053</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>57995</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1956</X>
<Y>0.3919</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35004</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>57996</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.3905</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34962</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>57997</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1965</X>
<Y>0.3891</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34922</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>57998</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1970</X>
<Y>0.3877</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>57999</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.3863</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34831</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>58000</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1977</X>
<Y>0.3849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1980</X>
<Y>0.3835</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34696</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1983</X>
<Y>0.3821</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34604</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1986</X>
<Y>0.3807</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1989</X>
<Y>0.3792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34374</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>0.1991</X>
<Y>0.3778</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34245</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>0.1993</X>
<Y>0.3764</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34115</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>0.1995</X>
<Y>0.3749</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33992</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>0.1996</X>
<Y>0.3735</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33878</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>0.1997</X>
<Y>0.3721</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33774</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>0.1998</X>
<Y>0.3706</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33678</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>0.1998</X>
<Y>0.3692</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33584</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>0.1999</X>
<Y>0.3678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33487</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>0.1999</X>
<Y>0.3663</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33381</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>0.1998</X>
<Y>0.3649</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33263</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>0.1998</X>
<Y>0.3634</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33132</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>0.1997</X>
<Y>0.3620</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32993</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>0.1996</X>
<Y>0.3606</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32851</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>0.1994</X>
<Y>0.3591</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32712</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>0.1993</X>
<Y>0.3577</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32580</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>0.1991</X>
<Y>0.3563</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32458</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>0.1988</X>
<Y>0.3549</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32347</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>0.1986</X>
<Y>0.3534</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32248</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>0.1983</X>
<Y>0.3520</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32157</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>0.1980</X>
<Y>0.3506</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32071</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>0.1977</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31986</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>0.1973</X>
<Y>0.3478</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31897</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>0.1969</X>
<Y>0.3464</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31799</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>0.1965</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31689</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>0.1961</X>
<Y>0.3436</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31563</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>0.1956</X>
<Y>0.3423</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31420</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>0.1951</X>
<Y>0.3409</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31262</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>0.1946</X>
<Y>0.3395</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31093</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>0.1940</X>
<Y>0.3382</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30921</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>0.1935</X>
<Y>0.3368</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30753</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>0.1929</X>
<Y>0.3355</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30596</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>0.1922</X>
<Y>0.3342</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30453</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>0.1916</X>
<Y>0.3329</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30321</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>0.1909</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30195</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>0.1902</X>
<Y>0.3303</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30070</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>0.1895</X>
<Y>0.3290</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29941</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>0.1888</X>
<Y>0.3277</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29802</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>0.1880</X>
<Y>0.3265</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29654</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>0.1872</X>
<Y>0.3252</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29496</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>0.1864</X>
<Y>0.3240</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29332</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>0.1855</X>
<Y>0.3228</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29165</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>0.1847</X>
<Y>0.3216</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29002</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>0.1838</X>
<Y>0.3204</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28844</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>0.1829</X>
<Y>0.3192</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28696</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>0.1820</X>
<Y>0.3180</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28558</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>0.1810</X>
<Y>0.3169</Y>
</pole>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28311</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28200</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28092</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27979</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27854</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27712</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27555</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27378</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27181</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26978</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26773</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26578</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26402</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26238</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26092</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25946</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25795</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25640</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25475</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25306</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25127</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24957</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24786</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24620</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24455</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24303</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24160</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24027</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.23903</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.23783</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23660</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23529</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.23390</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.23233</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.23069</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22895</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22708</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22524</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22345</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22185</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22045</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21922</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21811</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21698</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21572</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21435</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21290</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21140</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20995</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20851</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20722</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20602</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20494</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20386</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20286</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20193</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20102</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20000</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1002</X>
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<UT type="prediction"><UT1-UTC>0.19894</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0987</X>
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<UT type="prediction"><UT1-UTC>0.19783</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58111</MJD>
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<dataEOP><pole type="prediction"><X>0.0972</X>
<Y>0.2847</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19655</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0957</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19509</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0942</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19346</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0927</X>
<Y>0.2853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19169</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0912</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18977</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0897</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18792</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0882</X>
<Y>0.2862</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18616</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0867</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18454</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0853</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18305</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0838</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18169</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0824</X>
<Y>0.2876</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18038</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0809</X>
<Y>0.2880</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17904</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0795</X>
<Y>0.2885</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17764</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0781</X>
<Y>0.2889</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17621</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0767</X>
<Y>0.2894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17469</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0753</X>
<Y>0.2899</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0739</X>
<Y>0.2905</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17185</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0725</X>
<Y>0.2910</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17052</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0712</X>
<Y>0.2916</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16932</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0698</X>
<Y>0.2922</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16820</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0685</X>
<Y>0.2928</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16725</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0672</X>
<Y>0.2934</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16632</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0659</X>
<Y>0.2941</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16540</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0646</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16452</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0633</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16362</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0620</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16263</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0608</X>
<Y>0.2969</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16153</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0596</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16028</UT1-UTC>
</UT>
</dataEOP>
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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>0.0583</X>
<Y>0.2985</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15881</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0571</X>
<Y>0.2992</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15720</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>0.0560</X>
<Y>0.3001</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15543</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>0.0548</X>
<Y>0.3009</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15355</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>0.0537</X>
<Y>0.3017</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15165</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0525</X>
<Y>0.3026</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14976</UT1-UTC>
</UT>
</dataEOP>
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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>0.0514</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14790</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>0.0503</X>
<Y>0.3044</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14614</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0493</X>
<Y>0.3053</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14449</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0482</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14281</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0472</X>
<Y>0.3072</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14102</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>0.0462</X>
<Y>0.3082</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13913</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>0.0452</X>
<Y>0.3092</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13709</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0442</X>
<Y>0.3102</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13495</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>0.0433</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13267</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>0.0423</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13034</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>0.0414</X>
<Y>0.3132</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12808</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0406</X>
<Y>0.3143</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12598</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0397</X>
<Y>0.3154</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12411</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0389</X>
<Y>0.3165</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12241</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>0.0380</X>
<Y>0.3176</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12085</UT1-UTC>
</UT>
</dataEOP>
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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>0.0372</X>
<Y>0.3187</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11937</UT1-UTC>
</UT>
</dataEOP>
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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>0.0365</X>
<Y>0.3198</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11788</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0357</X>
<Y>0.3209</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11641</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>0.0350</X>
<Y>0.3221</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11497</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>0.0343</X>
<Y>0.3232</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11348</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>0.0336</X>
<Y>0.3244</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11194</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>0.0330</X>
<Y>0.3256</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11034</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0323</X>
<Y>0.3268</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10865</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>0.0317</X>
<Y>0.3280</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10687</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0312</X>
<Y>0.3292</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10494</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0306</X>
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