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<dataEOP><pole type="prediction"><X>0.1948</X>
<Y>0.2762</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32766</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>57698</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1931</X>
<Y>0.2751</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32892</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>57699</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1915</X>
<Y>0.2739</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33026</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>57700</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1898</X>
<Y>0.2728</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33174</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>57701</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1881</X>
<Y>0.2717</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33339</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>57702</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1864</X>
<Y>0.2706</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33523</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>57703</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1847</X>
<Y>0.2696</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>57704</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1829</X>
<Y>0.2686</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.33931</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>57705</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1812</X>
<Y>0.2676</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34142</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>57706</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1794</X>
<Y>0.2666</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34345</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>57707</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1776</X>
<Y>0.2657</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34533</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>57708</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1758</X>
<Y>0.2648</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34705</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>57709</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1740</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34861</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>57710</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1721</X>
<Y>0.2631</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>57711</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1703</X>
<Y>0.2623</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35153</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>57712</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1684</X>
<Y>0.2615</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>57713</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1665</X>
<Y>0.2607</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35449</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>57714</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1646</X>
<Y>0.2600</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35603</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>57715</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1627</X>
<Y>0.2593</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35760</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>57716</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1608</X>
<Y>0.2586</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35918</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>57717</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1589</X>
<Y>0.2580</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36075</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>57718</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1569</X>
<Y>0.2574</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36228</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>57719</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1550</X>
<Y>0.2568</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36374</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>57720</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1530</X>
<Y>0.2562</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36511</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>57721</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1510</X>
<Y>0.2557</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36639</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>57722</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1490</X>
<Y>0.2552</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36758</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>57723</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1471</X>
<Y>0.2548</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36871</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>57724</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1451</X>
<Y>0.2543</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>57725</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1431</X>
<Y>0.2539</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37089</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>57726</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1411</X>
<Y>0.2536</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37205</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>57727</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1391</X>
<Y>0.2532</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37330</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>57728</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1370</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37469</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>57729</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1350</X>
<Y>0.2527</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37624</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>57730</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1330</X>
<Y>0.2524</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37793</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>57731</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1310</X>
<Y>0.2522</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37976</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>57732</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1289</X>
<Y>0.2520</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38165</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57733</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1269</X>
<Y>0.2519</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38354</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57734</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1249</X>
<Y>0.2518</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38534</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57735</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1228</X>
<Y>0.2517</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38702</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57736</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1208</X>
<Y>0.2516</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38857</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57737</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1188</X>
<Y>0.2516</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39004</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57738</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1167</X>
<Y>0.2516</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57739</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1147</X>
<Y>0.2516</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39292</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57740</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1127</X>
<Y>0.2517</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39442</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57741</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1106</X>
<Y>0.2518</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39597</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57742</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1086</X>
<Y>0.2520</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39755</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57743</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1066</X>
<Y>0.2521</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39913</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>57744</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1046</X>
<Y>0.2523</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40068</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>57745</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1026</X>
<Y>0.2526</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40219</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57746</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1006</X>
<Y>0.2528</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40362</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57747</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0986</X>
<Y>0.2531</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57748</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0966</X>
<Y>0.2534</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40621</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57749</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0946</X>
<Y>0.2538</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40737</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57750</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0926</X>
<Y>0.2542</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40846</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57751</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0906</X>
<Y>0.2546</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40951</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57752</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0887</X>
<Y>0.2550</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41056</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57753</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0867</X>
<Y>0.2555</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41165</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57754</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0848</X>
<Y>0.2560</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.58718</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>57755</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0829</X>
<Y>0.2565</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.58588</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>57756</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0809</X>
<Y>0.2571</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.58445</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>57757</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0790</X>
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<UT type="prediction"><UT1-UTC>0.58288</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0771</X>
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<UT type="prediction"><UT1-UTC>0.58120</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0753</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.57947</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0734</X>
<Y>0.2597</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.57773</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57761</MJD>
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<dataEOP><pole type="prediction"><X>0.0715</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.57605</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57762</MJD>
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<dataEOP><pole type="prediction"><X>0.0697</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.57447</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57763</MJD>
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<dataEOP><pole type="prediction"><X>0.0679</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.57301</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0660</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.57164</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0642</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.57032</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57766</MJD>
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<dataEOP><pole type="prediction"><X>0.0625</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.56898</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0607</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.56758</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57768</MJD>
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<dataEOP><pole type="prediction"><X>0.0590</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.56611</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57769</MJD>
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<dataEOP><pole type="prediction"><X>0.0572</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.56464</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57770</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0555</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.56314</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57771</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0538</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.56164</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57772</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0521</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.56018</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>57773</MJD>
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<dataEOP><pole type="prediction"><X>0.0505</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.55878</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>57774</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0489</X>
<Y>0.2721</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55746</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57775</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0472</X>
<Y>0.2732</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55622</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>57776</MJD>
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<dataEOP><pole type="prediction"><X>0.0457</X>
<Y>0.2743</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55507</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57777</MJD>
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<dataEOP><pole type="prediction"><X>0.0441</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.55399</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57778</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0425</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.55293</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57779</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0410</X>
<Y>0.2778</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55188</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57780</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0395</X>
<Y>0.2791</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.55078</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>57781</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0380</X>
<Y>0.2803</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54959</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>57782</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0366</X>
<Y>0.2815</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54827</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>57783</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0351</X>
<Y>0.2828</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54679</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>57784</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0337</X>
<Y>0.2841</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54516</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>57785</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0323</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54340</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57786</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0310</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54158</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57787</MJD>
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<dataEOP><pole type="prediction"><X>0.0296</X>
<Y>0.2882</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53974</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57788</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0283</X>
<Y>0.2895</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53796</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57789</MJD>
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<dataEOP><pole type="prediction"><X>0.0271</X>
<Y>0.2910</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53626</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0258</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53468</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57791</MJD>
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<dataEOP><pole type="prediction"><X>0.0246</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53318</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57792</MJD>
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<dataEOP><pole type="prediction"><X>0.0234</X>
<Y>0.2953</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53173</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57793</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0222</X>
<Y>0.2968</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53028</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57794</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0211</X>
<Y>0.2983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52876</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57795</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0199</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52715</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>57796</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0188</X>
<Y>0.3013</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52546</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>57797</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0178</X>
<Y>0.3029</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52371</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>57798</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0168</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52193</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>57799</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0158</X>
<Y>0.3060</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52017</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>57800</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0148</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51846</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57801</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0138</X>
<Y>0.3093</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51683</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57802</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0129</X>
<Y>0.3109</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51528</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>57803</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0120</X>
<Y>0.3125</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51382</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57804</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0112</X>
<Y>0.3142</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51243</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>57805</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0104</X>
<Y>0.3159</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51109</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57806</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0096</X>
<Y>0.3175</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50976</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57807</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0088</X>
<Y>0.3192</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50839</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>57808</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0081</X>
<Y>0.3209</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50694</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57809</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0074</X>
<Y>0.3227</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50536</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>57810</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0067</X>
<Y>0.3244</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50361</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57811</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0061</X>
<Y>0.3261</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50169</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>57812</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0055</X>
<Y>0.3279</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49962</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57813</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0049</X>
<Y>0.3296</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49745</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>57814</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0044</X>
<Y>0.3314</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49526</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>57815</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0039</X>
<Y>0.3332</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49313</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57816</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0034</X>
<Y>0.3350</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49110</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>57817</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0030</X>
<Y>0.3368</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48919</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57818</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0026</X>
<Y>0.3386</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48740</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>57819</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0022</X>
<Y>0.3404</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48569</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57820</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0019</X>
<Y>0.3422</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57821</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0016</X>
<Y>0.3440</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48225</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57822</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0013</X>
<Y>0.3458</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48043</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>57823</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0011</X>
<Y>0.3476</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47852</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>57824</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0009</X>
<Y>0.3494</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47653</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>57825</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3513</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47449</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57826</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0006</X>
<Y>0.3531</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47245</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57827</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0005</X>
<Y>0.3549</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57828</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0004</X>
<Y>0.3568</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46850</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57829</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0003</X>
<Y>0.3586</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46664</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57830</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0003</X>
<Y>0.3605</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46489</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57831</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0004</X>
<Y>0.3623</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57832</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0004</X>
<Y>0.3641</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46162</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57833</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0005</X>
<Y>0.3660</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46005</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57834</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45846</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57835</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0008</X>
<Y>0.3696</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45682</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57836</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0010</X>
<Y>0.3715</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45508</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57837</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0012</X>
<Y>0.3733</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45318</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57838</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0015</X>
<Y>0.3751</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45110</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57839</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0018</X>
<Y>0.3769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44885</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57840</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0021</X>
<Y>0.3787</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44646</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57841</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0025</X>
<Y>0.3806</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44400</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57842</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0029</X>
<Y>0.3824</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44157</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57843</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0033</X>
<Y>0.3842</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43924</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57844</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0038</X>
<Y>0.3860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43706</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57845</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0042</X>
<Y>0.3877</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43502</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57846</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0048</X>
<Y>0.3895</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43310</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57847</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0053</X>
<Y>0.3913</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43123</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>57848</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.3930</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42936</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>57849</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0065</X>
<Y>0.3948</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42744</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>57850</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0072</X>
<Y>0.3965</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42546</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>57851</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0078</X>
<Y>0.3983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42342</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57852</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0086</X>
<Y>0.4000</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42135</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>57853</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0093</X>
<Y>0.4017</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41931</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>57854</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0101</X>
<Y>0.4034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41733</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>57855</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0109</X>
<Y>0.4051</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41547</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>57856</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0117</X>
<Y>0.4068</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41373</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57857</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0126</X>
<Y>0.4084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41213</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57858</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0134</X>
<Y>0.4101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41063</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57859</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0144</X>
<Y>0.4117</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40921</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57860</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0153</X>
<Y>0.4133</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40784</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57861</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0163</X>
<Y>0.4149</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40646</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>57862</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0173</X>
<Y>0.4165</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40502</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57863</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.4181</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40348</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>57864</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0194</X>
<Y>0.4197</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>57865</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0205</X>
<Y>0.4212</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39990</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57866</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0216</X>
<Y>0.4227</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57867</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0227</X>
<Y>0.4242</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39557</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57868</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0239</X>
<Y>0.4257</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39320</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57869</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0251</X>
<Y>0.4272</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39081</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57870</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0263</X>
<Y>0.4287</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38850</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>57871</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0275</X>
<Y>0.4301</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38633</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>57872</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0288</X>
<Y>0.4315</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38433</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>57873</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0301</X>
<Y>0.4329</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38250</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>57874</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0314</X>
<Y>0.4343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38076</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>57875</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0328</X>
<Y>0.4357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>57876</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0341</X>
<Y>0.4370</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37736</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>57877</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0355</X>
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<UT type="prediction"><UT1-UTC>0.36855</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36678</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36506</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36346</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33830</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32784</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32694</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32658</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32433</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32338</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32094</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31957</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31688</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31575</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31472</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31375</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31276</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31172</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31072</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30957</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30843</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30720</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1408</X>
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<UT type="prediction"><UT1-UTC>0.30606</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30389</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30296</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30209</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30130</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30049</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29971</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29892</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29809</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29719</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29623</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29514</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29397</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29280</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29163</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29053</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28959</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28885</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28813</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28760</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28554</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28469</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28381</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28301</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28225</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28155</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28093</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28040</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27997</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27954</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27880</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27660</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27584</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27490</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27274</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26057</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25998</UT1-UTC>
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