<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>BulletinA</product>
<date>2017-10-26</date>
<volume>XXX</volume>
<number>043</number>
</version>
<metaFileName/>
<headerLine><headerLineDate><sYear>Year</sYear>
<sMonth>Month</sMonth>
<sDay>Day</sDay>
<sTime>Time</sTime>
<sMJD>MJD</sMJD>
</headerLineDate>
<headerLineEOP><product source="BulletinA"><sX>X</sX>
<ssigma_X>sigma_X</ssigma_X>
<sY>Y</sY>
<ssigma_Y>sigma_Y</ssigma_Y>
<sUT1-UTC>UT1-UTC</sUT1-UTC>
<ssigma_UT1-UTC>sigma_UT1-UTC</ssigma_UT1-UTC>
<sdPsi>dPsi</sdPsi>
<ssigma_dPsi>sigma_dPsi</ssigma_dPsi>
<sdEpsilon>dEpsilon</sdEpsilon>
<ssigma_dEpsilon>sigma_dEpsilon</ssigma_dEpsilon>
<sdX>dX</sdX>
<ssigma_dX>sigma_dX</ssigma_dX>
<sdY>dY</sdY>
<ssigma_dY>sigma_dY</ssigma_dY>
</product>
</headerLineEOP>
<headerLineUnits><product source="BulletinA"><X>arcsec</X>
<sigma_X>arcsec</sigma_X>
<Y>arcsec</Y>
<sigma_Y>arcsec</sigma_Y>
<UT1-UTC>sec</UT1-UTC>
<sigma_UT1-UTC>sec</sigma_UT1-UTC>
<dPsi>marcsec</dPsi>
<sigma_dPsi>marcsec</sigma_dPsi>
<dEpsilon>marcsec</dEpsilon>
<sigma_dEpsilon>marcsec</sigma_dEpsilon>
<dX>marcsec</dX>
<sigma_dX>marcsec</sigma_dX>
<dY>marcsec</dY>
<sigma_dY>marcsec</sigma_dY>
</product>
</headerLineUnits>
</headerLine>
<data product="BulletinA" source="BulletinA"><timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19994</X>
<sigma_X>.00009</sigma_X>
<Y>0.27216</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.295826</UT1-UTC>
<sigma_UT1-UTC>0.000011</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19865</X>
<sigma_X>.00009</sigma_X>
<Y>0.27074</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.294542</UT1-UTC>
<sigma_UT1-UTC>0.000019</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19733</X>
<sigma_X>.00009</sigma_X>
<Y>0.26955</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.293354</UT1-UTC>
<sigma_UT1-UTC>0.000016</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19599</X>
<sigma_X>.00009</sigma_X>
<Y>0.26835</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.292249</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19451</X>
<sigma_X>.00009</sigma_X>
<Y>0.26700</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.291281</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19269</X>
<sigma_X>.00009</sigma_X>
<Y>0.26560</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.290424</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.19053</X>
<sigma_X>.00009</sigma_X>
<Y>0.26411</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.289604</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1885</X>
<Y>0.2627</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28878</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1864</X>
<Y>0.2612</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28793</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1845</X>
<Y>0.2600</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28700</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1826</X>
<Y>0.2588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28597</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1808</X>
<Y>0.2577</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28484</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1789</X>
<Y>0.2567</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28361</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1770</X>
<Y>0.2557</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28228</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1750</X>
<Y>0.2548</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28088</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1731</X>
<Y>0.2539</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27949</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1712</X>
<Y>0.2531</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27815</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1693</X>
<Y>0.2523</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27689</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1674</X>
<Y>0.2515</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27572</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1654</X>
<Y>0.2508</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27462</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1635</X>
<Y>0.2501</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27352</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1615</X>
<Y>0.2494</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27238</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1596</X>
<Y>0.2488</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27118</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1576</X>
<Y>0.2482</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26990</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1555</X>
<Y>0.2477</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26858</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1535</X>
<Y>0.2471</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26726</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1514</X>
<Y>0.2466</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26597</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1492</X>
<Y>0.2462</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26477</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1471</X>
<Y>0.2457</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26369</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1450</X>
<Y>0.2453</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26274</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1429</X>
<Y>0.2449</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26193</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1408</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26124</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1387</X>
<Y>0.2443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26063</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1366</X>
<Y>0.2441</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26006</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1344</X>
<Y>0.2439</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25951</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1323</X>
<Y>0.2437</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25892</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1301</X>
<Y>0.2435</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25825</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1280</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25745</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1258</X>
<Y>0.2433</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25651</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1237</X>
<Y>0.2433</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25541</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1215</X>
<Y>0.2432</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25417</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>58087</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1194</X>
<Y>0.2433</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25283</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1172</X>
<Y>0.2433</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1151</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1129</X>
<Y>0.2435</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24885</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1107</X>
<Y>0.2436</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24774</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1086</X>
<Y>0.2438</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24675</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1064</X>
<Y>0.2440</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24583</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1042</X>
<Y>0.2443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24491</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1021</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24394</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>58096</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0999</X>
<Y>0.2449</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>58097</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0978</X>
<Y>0.2452</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>58098</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0956</X>
<Y>0.2456</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24063</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>58099</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0935</X>
<Y>0.2460</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23949</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>58100</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0914</X>
<Y>0.2464</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23840</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>58101</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0892</X>
<Y>0.2469</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23739</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0871</X>
<Y>0.2474</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23649</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0850</X>
<Y>0.2480</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23569</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0829</X>
<Y>0.2485</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23501</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0808</X>
<Y>0.2491</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23440</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0787</X>
<Y>0.2498</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23385</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0767</X>
<Y>0.2504</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23332</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0746</X>
<Y>0.2511</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23275</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0725</X>
<Y>0.2519</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23212</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0705</X>
<Y>0.2526</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23137</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0685</X>
<Y>0.2534</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23050</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0664</X>
<Y>0.2542</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22948</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0644</X>
<Y>0.2551</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22833</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0624</X>
<Y>0.2560</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22706</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0605</X>
<Y>0.2569</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22573</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0585</X>
<Y>0.2578</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0566</X>
<Y>0.2588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22309</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0546</X>
<Y>0.2598</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22188</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0527</X>
<Y>0.2608</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22077</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0508</X>
<Y>0.2619</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21974</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0490</X>
<Y>0.2630</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21871</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0471</X>
<Y>0.2641</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21761</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0453</X>
<Y>0.2653</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21642</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0434</X>
<Y>0.2664</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21513</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0416</X>
<Y>0.2676</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21378</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0398</X>
<Y>0.2689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21242</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>0.0381</X>
<Y>0.2701</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21112</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>0.0364</X>
<Y>0.2714</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20990</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0346</X>
<Y>0.2727</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20881</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0329</X>
<Y>0.2740</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0313</X>
<Y>0.2754</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20698</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0296</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0280</X>
<Y>0.2782</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0264</X>
<Y>0.2796</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0248</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20418</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0233</X>
<Y>0.2826</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20343</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0217</X>
<Y>0.2841</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20258</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0202</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20160</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0188</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20048</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0173</X>
<Y>0.2888</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19922</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0159</X>
<Y>0.2904</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19786</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0145</X>
<Y>0.2920</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19642</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0132</X>
<Y>0.2936</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0118</X>
<Y>0.2953</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19352</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0105</X>
<Y>0.2970</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0092</X>
<Y>0.2987</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19088</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0080</X>
<Y>0.3004</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18967</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0068</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18848</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0056</X>
<Y>0.3039</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18723</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0044</X>
<Y>0.3057</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18586</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0033</X>
<Y>0.3075</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18436</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0022</X>
<Y>0.3093</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18276</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0012</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18110</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0001</X>
<Y>0.3130</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17947</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0009</X>
<Y>0.3149</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17791</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0018</X>
<Y>0.3168</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17647</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0027</X>
<Y>0.3187</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17515</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0036</X>
<Y>0.3206</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0045</X>
<Y>0.3225</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17288</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0053</X>
<Y>0.3245</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17188</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0061</X>
<Y>0.3264</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17103</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.3284</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17017</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0076</X>
<Y>0.3304</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16927</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0083</X>
<Y>0.3323</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0090</X>
<Y>0.3343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16714</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0096</X>
<Y>0.3364</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16586</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0102</X>
<Y>0.3384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16445</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0107</X>
<Y>0.3404</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16293</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0112</X>
<Y>0.3424</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16133</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>-0.0117</X>
<Y>0.3445</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15971</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0122</X>
<Y>0.3466</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15813</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.3486</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15662</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0129</X>
<Y>0.3507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15520</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0133</X>
<Y>0.3528</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15386</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0136</X>
<Y>0.3548</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15255</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0138</X>
<Y>0.3569</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0140</X>
<Y>0.3590</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14976</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0142</X>
<Y>0.3611</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0144</X>
<Y>0.3632</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14643</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0145</X>
<Y>0.3653</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14459</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0146</X>
<Y>0.3674</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14272</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>58182</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0146</X>
<Y>0.3695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14089</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0146</X>
<Y>0.3716</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13917</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0146</X>
<Y>0.3737</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13758</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0145</X>
<Y>0.3759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13613</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0144</X>
<Y>0.3780</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13480</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0143</X>
<Y>0.3801</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>58188</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0141</X>
<Y>0.3822</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13242</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>58189</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0138</X>
<Y>0.3843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13127</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>58190</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0136</X>
<Y>0.3864</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>58191</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0133</X>
<Y>0.3885</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12883</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>58192</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0130</X>
<Y>0.3906</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12745</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>58193</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.3927</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12593</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0122</X>
<Y>0.3947</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12426</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>58195</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0117</X>
<Y>0.3968</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12246</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>58196</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0113</X>
<Y>0.3989</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12057</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>58197</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0107</X>
<Y>0.4010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>58198</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0102</X>
<Y>0.4030</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>58199</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0096</X>
<Y>0.4051</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11501</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>58200</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0090</X>
<Y>0.4071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11333</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0083</X>
<Y>0.4092</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11177</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0076</X>
<Y>0.4112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11026</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>58203</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.4132</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10876</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>58204</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0061</X>
<Y>0.4152</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10719</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>58205</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0053</X>
<Y>0.4172</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10550</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>58206</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0045</X>
<Y>0.4192</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10367</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>58207</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0036</X>
<Y>0.4212</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10172</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>58208</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0027</X>
<Y>0.4231</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09971</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>58209</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0017</X>
<Y>0.4251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09770</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>58210</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0008</X>
<Y>0.4270</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09578</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>58211</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0003</X>
<Y>0.4289</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09398</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>58212</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0013</X>
<Y>0.4308</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09234</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>58213</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0024</X>
<Y>0.4327</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09084</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>58214</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0035</X>
<Y>0.4346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08948</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>58215</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0046</X>
<Y>0.4364</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08820</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>58216</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0058</X>
<Y>0.4383</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08698</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>58217</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0070</X>
<Y>0.4401</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>58218</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0083</X>
<Y>0.4419</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08447</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>58219</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0096</X>
<Y>0.4437</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08310</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>58220</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0109</X>
<Y>0.4455</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08160</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>58221</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0122</X>
<Y>0.4472</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07996</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>58222</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0136</X>
<Y>0.4490</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07818</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>58223</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0150</X>
<Y>0.4507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07630</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>58224</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0164</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07436</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>58225</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0179</X>
<Y>0.4540</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07243</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>58226</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0194</X>
<Y>0.4557</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>58227</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0209</X>
<Y>0.4573</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06889</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>58228</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0224</X>
<Y>0.4589</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>58229</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0240</X>
<Y>0.4605</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06583</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>58230</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0256</X>
<Y>0.4621</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06439</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>58231</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0272</X>
<Y>0.4636</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06290</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>58232</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0289</X>
<Y>0.4651</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06132</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>58233</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0306</X>
<Y>0.4666</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05961</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>58234</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0323</X>
<Y>0.4681</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05777</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>58235</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0340</X>
<Y>0.4695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05584</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>58236</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0358</X>
<Y>0.4709</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05387</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>58237</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0376</X>
<Y>0.4723</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05193</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>58238</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0394</X>
<Y>0.4737</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05007</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>58239</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0412</X>
<Y>0.4750</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04832</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>58240</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0431</X>
<Y>0.4763</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04669</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>58241</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0450</X>
<Y>0.4776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04518</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>58242</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0469</X>
<Y>0.4789</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04376</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>58243</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0488</X>
<Y>0.4801</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04241</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>58244</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0507</X>
<Y>0.4813</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04108</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>58245</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0527</X>
<Y>0.4825</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03975</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>58246</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0547</X>
<Y>0.4836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03838</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>58247</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0567</X>
<Y>0.4847</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03693</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>58248</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0587</X>
<Y>0.4858</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03539</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>58249</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0608</X>
<Y>0.4869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>58250</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0628</X>
<Y>0.4879</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03207</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>58251</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0649</X>
<Y>0.4889</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>58252</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0670</X>
<Y>0.4898</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02862</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>58253</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0691</X>
<Y>0.4908</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02698</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>58254</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0713</X>
<Y>0.4917</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02549</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>58255</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0734</X>
<Y>0.4925</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02416</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>58256</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0756</X>
<Y>0.4934</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02296</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>58257</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0777</X>
<Y>0.4942</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02183</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>58258</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0799</X>
<Y>0.4950</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02069</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>58259</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0821</X>
<Y>0.4957</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01949</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>58260</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0843</X>
<Y>0.4964</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01820</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>58261</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0866</X>
<Y>0.4971</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01682</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>58262</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0888</X>
<Y>0.4977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01541</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>58263</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0911</X>
<Y>0.4983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01401</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>58264</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0933</X>
<Y>0.4989</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01272</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>58265</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0956</X>
<Y>0.4995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01159</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>58266</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0979</X>
<Y>0.5000</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01066</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>58267</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1002</X>
<Y>0.5005</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00995</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>58268</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1025</X>
<Y>0.5009</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00943</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>58269</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1048</X>
<Y>0.5013</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00904</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>58270</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1071</X>
<Y>0.5017</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00875</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>58271</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1094</X>
<Y>0.5020</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00854</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>58272</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1117</X>
<Y>0.5023</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00837</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>58273</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1140</X>
<Y>0.5026</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00817</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>58274</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1164</X>
<Y>0.5028</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00789</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>58275</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1187</X>
<Y>0.5031</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00748</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>58276</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1210</X>
<Y>0.5032</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00693</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>58277</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1234</X>
<Y>0.5034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00628</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>58278</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1257</X>
<Y>0.5035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>58279</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1280</X>
<Y>0.5035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00473</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>58280</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1304</X>
<Y>0.5036</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>58281</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1327</X>
<Y>0.5036</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>58282</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1351</X>
<Y>0.5035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00271</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>58283</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1374</X>
<Y>0.5035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00226</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>58284</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1397</X>
<Y>0.5034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00191</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>58285</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1421</X>
<Y>0.5032</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00152</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>58286</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1444</X>
<Y>0.5030</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00112</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>58287</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1467</X>
<Y>0.5028</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00065</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>58288</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1491</X>
<Y>0.5026</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>58289</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1514</X>
<Y>0.5023</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00047</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>58290</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1537</X>
<Y>0.5020</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00105</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>58291</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1560</X>
<Y>0.5017</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00158</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>58292</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1583</X>
<Y>0.5013</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00202</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>58293</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1606</X>
<Y>0.5009</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00238</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>58294</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1629</X>
<Y>0.5004</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>58295</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1651</X>
<Y>0.4999</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00276</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>58296</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1674</X>
<Y>0.4994</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00269</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>58297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1697</X>
<Y>0.4989</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00248</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>58298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1719</X>
<Y>0.4983</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00221</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>58299</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1741</X>
<Y>0.4977</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00195</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>58300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1764</X>
<Y>0.4970</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00174</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>58301</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1786</X>
<Y>0.4964</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00158</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>58302</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1808</X>
<Y>0.4957</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1829</X>
<Y>0.4949</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>58304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1851</X>
<Y>0.4941</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00158</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>58305</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1873</X>
<Y>0.4933</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00172</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>58306</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1894</X>
<Y>0.4925</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00190</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>58307</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1915</X>
<Y>0.4916</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00213</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>58308</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1936</X>
<Y>0.4907</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00233</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>58309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1957</X>
<Y>0.4898</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00241</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>58310</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.4888</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00237</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>58311</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1998</X>
<Y>0.4878</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00228</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>58312</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2019</X>
<Y>0.4868</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00221</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>58313</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2039</X>
<Y>0.4858</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00226</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>58314</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2059</X>
<Y>0.4847</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00241</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>58315</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2079</X>
<Y>0.4836</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00270</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>58316</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2098</X>
<Y>0.4824</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00315</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>58317</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2118</X>
<Y>0.4813</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00367</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>58318</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2137</X>
<Y>0.4801</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>58319</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2156</X>
<Y>0.4788</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00481</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>58320</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2174</X>
<Y>0.4776</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00531</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>58321</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2193</X>
<Y>0.4763</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00570</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>58322</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2211</X>
<Y>0.4750</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00593</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>58323</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2229</X>
<Y>0.4737</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00602</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>58324</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2247</X>
<Y>0.4723</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00601</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>58325</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2264</X>
<Y>0.4709</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00591</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>58326</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2281</X>
<Y>0.4695</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00576</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>58327</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2298</X>
<Y>0.4681</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00563</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>58328</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2315</X>
<Y>0.4666</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>58329</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2331</X>
<Y>0.4651</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00555</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>58330</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2348</X>
<Y>0.4636</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00568</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>58331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2363</X>
<Y>0.4621</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00589</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>58332</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2379</X>
<Y>0.4605</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00618</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>58333</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2394</X>
<Y>0.4589</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00652</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>58334</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2409</X>
<Y>0.4573</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00688</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>58335</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2424</X>
<Y>0.4557</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>58336</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2438</X>
<Y>0.4541</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00750</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>58337</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2453</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>58338</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2466</X>
<Y>0.4507</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>58339</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2480</X>
<Y>0.4490</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00801</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>58340</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2493</X>
<Y>0.4473</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>58341</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2506</X>
<Y>0.4455</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00850</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>58342</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2519</X>
<Y>0.4438</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00902</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>58343</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2531</X>
<Y>0.4420</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00971</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>58344</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2543</X>
<Y>0.4402</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01053</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>58345</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2554</X>
<Y>0.4384</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01141</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>58346</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2566</X>
<Y>0.4365</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01223</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>58347</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2576</X>
<Y>0.4347</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01288</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>58348</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2587</X>
<Y>0.4328</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01335</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>58349</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2597</X>
<Y>0.4309</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01370</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>58350</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2607</X>
<Y>0.4290</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01393</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>58351</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2617</X>
<Y>0.4271</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01413</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>58352</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2626</X>
<Y>0.4252</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01432</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>58353</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2635</X>
<Y>0.4233</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01452</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>58354</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2643</X>
<Y>0.4213</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01474</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>58355</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2652</X>
<Y>0.4194</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01506</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>58356</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2659</X>
<Y>0.4174</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01548</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>58357</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2667</X>
<Y>0.4154</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01604</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>58358</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2674</X>
<Y>0.4134</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01676</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>58359</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2681</X>
<Y>0.4114</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01762</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>58360</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2687</X>
<Y>0.4094</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01854</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>58361</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2693</X>
<Y>0.4074</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01949</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>58362</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2699</X>
<Y>0.4054</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>58363</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2704</X>
<Y>0.4033</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02137</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>58364</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2709</X>
<Y>0.4013</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>58365</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2713</X>
<Y>0.3992</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02287</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58366</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2718</X>
<Y>0.3972</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02355</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58367</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2721</X>
<Y>0.3951</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58368</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2725</X>
<Y>0.3930</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02498</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58369</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2728</X>
<Y>0.3910</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02593</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58370</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2731</X>
<Y>0.3889</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02705</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58371</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2733</X>
<Y>0.3868</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02833</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58372</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2735</X>
<Y>0.3847</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02971</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58373</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2736</X>
<Y>0.3826</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03108</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58374</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2738</X>
<Y>0.3806</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03236</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58375</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2738</X>
<Y>0.3785</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03352</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58376</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2739</X>
<Y>0.3764</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03450</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58377</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2739</X>
<Y>0.3743</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03531</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58378</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2739</X>
<Y>0.3722</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03598</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>58379</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2738</X>
<Y>0.3701</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03658</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58380</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2737</X>
<Y>0.3680</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03717</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58381</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2735</X>
<Y>0.3660</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03784</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>58382</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2734</X>
<Y>0.3639</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03862</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58383</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2731</X>
<Y>0.3618</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03950</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58384</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2729</X>
<Y>0.3597</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04045</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58385</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2726</X>
<Y>0.3577</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04154</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58386</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2723</X>
<Y>0.3556</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04281</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58387</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2719</X>
<Y>0.3536</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04420</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58388</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2715</X>
<Y>0.3515</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04567</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58389</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2711</X>
<Y>0.3495</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04714</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58390</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2706</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04854</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58391</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2701</X>
<Y>0.3454</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04984</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58392</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2696</X>
<Y>0.3434</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05107</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58393</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2690</X>
<Y>0.3414</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05228</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58394</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2684</X>
<Y>0.3394</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05352</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58395</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2677</X>
<Y>0.3374</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05483</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58396</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2670</X>
<Y>0.3354</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05631</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58397</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2663</X>
<Y>0.3334</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05799</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58398</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2655</X>
<Y>0.3315</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05984</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58399</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2648</X>
<Y>0.3295</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58400</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2639</X>
<Y>0.3276</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58401</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2631</X>
<Y>0.3257</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06566</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58402</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2622</X>
<Y>0.3238</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06745</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58403</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2612</X>
<Y>0.3219</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06908</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58404</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2603</X>
<Y>0.3200</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07051</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58405</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2593</X>
<Y>0.3181</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07174</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58406</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2583</X>
<Y>0.3163</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07283</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58407</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2572</X>
<Y>0.3145</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07384</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58408</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2561</X>
<Y>0.3127</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07478</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58409</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2550</X>
<Y>0.3109</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58410</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2539</X>
<Y>0.3091</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07676</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58411</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2527</X>
<Y>0.3073</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07789</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58412</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2515</X>
<Y>0.3056</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07915</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58413</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2502</X>
<Y>0.3039</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08061</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58414</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2489</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08227</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58415</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2476</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08404</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58416</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2463</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08586</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58417</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2449</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08767</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>