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<date>2018-05-31</date>
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<MJD>58294</MJD>
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<dataEOP><pole type="prediction"><X>0.1492</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06576</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58295</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1506</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06587</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58296</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1519</X>
<Y>0.4372</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06611</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1533</X>
<Y>0.4366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06645</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1547</X>
<Y>0.4359</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06684</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58299</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1560</X>
<Y>0.4353</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06723</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1574</X>
<Y>0.4346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06760</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58301</MJD>
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<dataEOP><pole type="prediction"><X>0.1587</X>
<Y>0.4339</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06789</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58302</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1600</X>
<Y>0.4331</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06809</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1613</X>
<Y>0.4324</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06819</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>0.1626</X>
<Y>0.4316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58305</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1638</X>
<Y>0.4308</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06812</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58306</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1651</X>
<Y>0.4300</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06800</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>58307</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1663</X>
<Y>0.4291</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06789</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>0.1675</X>
<Y>0.4283</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06782</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>0.1687</X>
<Y>0.4274</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06785</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>0.1699</X>
<Y>0.4265</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06801</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>0.1711</X>
<Y>0.4256</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58312</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1722</X>
<Y>0.4246</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06856</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>0.1733</X>
<Y>0.4237</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06882</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58314</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1745</X>
<Y>0.4227</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06898</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58315</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1756</X>
<Y>0.4217</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06901</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58316</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1766</X>
<Y>0.4207</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06893</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58317</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1777</X>
<Y>0.4197</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06881</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58318</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1787</X>
<Y>0.4187</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06872</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>0.1797</X>
<Y>0.4176</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06873</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>0.1807</X>
<Y>0.4165</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06888</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>0.1817</X>
<Y>0.4154</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06917</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>58322</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1827</X>
<Y>0.4143</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06960</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>58323</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1836</X>
<Y>0.4132</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07016</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>58324</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1845</X>
<Y>0.4121</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07081</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58325</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1854</X>
<Y>0.4109</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07152</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>58326</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1863</X>
<Y>0.4098</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07225</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58327</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1871</X>
<Y>0.4086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07294</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58328</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1879</X>
<Y>0.4074</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07355</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>58329</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1887</X>
<Y>0.4062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07405</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>0.1895</X>
<Y>0.4050</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07443</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>0.1903</X>
<Y>0.4037</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07468</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>0.1910</X>
<Y>0.4025</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07482</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>0.1917</X>
<Y>0.4012</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07489</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>0.1924</X>
<Y>0.3999</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07491</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>0.1930</X>
<Y>0.3987</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07493</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>0.1937</X>
<Y>0.3974</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07499</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>0.1943</X>
<Y>0.3961</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07513</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>0.1949</X>
<Y>0.3947</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07532</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>0.1954</X>
<Y>0.3934</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07553</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>0.1959</X>
<Y>0.3921</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07569</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>0.1965</X>
<Y>0.3907</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07571</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>0.1969</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07556</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>0.1974</X>
<Y>0.3880</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07524</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>58344</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.3867</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07480</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>0.1982</X>
<Y>0.3853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07433</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>58346</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1986</X>
<Y>0.3839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07393</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>58347</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1989</X>
<Y>0.3825</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07365</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>58348</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1993</X>
<Y>0.3811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07352</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>58349</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1996</X>
<Y>0.3797</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07356</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>58350</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1998</X>
<Y>0.3783</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07373</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>58351</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2001</X>
<Y>0.3769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07400</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>58352</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2003</X>
<Y>0.3755</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07434</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>58353</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.3741</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07469</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>0.2006</X>
<Y>0.3726</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07499</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>0.2008</X>
<Y>0.3712</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07522</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>0.2009</X>
<Y>0.3698</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07532</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>0.2010</X>
<Y>0.3683</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07529</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>0.2010</X>
<Y>0.3669</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07511</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>0.2010</X>
<Y>0.3655</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07481</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>0.2010</X>
<Y>0.3640</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07442</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>0.2010</X>
<Y>0.3626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07398</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>0.2009</X>
<Y>0.3611</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07355</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>0.2008</X>
<Y>0.3597</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07317</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>0.2007</X>
<Y>0.3583</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07285</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>0.2006</X>
<Y>0.3568</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07260</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>0.2004</X>
<Y>0.3554</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07239</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>0.2002</X>
<Y>0.3540</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07214</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>0.2000</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07180</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>0.1998</X>
<Y>0.3511</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07127</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>0.1995</X>
<Y>0.3497</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07055</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>0.1992</X>
<Y>0.3483</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06965</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>0.1988</X>
<Y>0.3468</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06864</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>0.1985</X>
<Y>0.3454</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06764</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>0.1981</X>
<Y>0.3440</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06672</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>0.1977</X>
<Y>0.3426</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06595</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>0.1973</X>
<Y>0.3412</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06534</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>0.1968</X>
<Y>0.3398</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06488</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>0.1963</X>
<Y>0.3384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06456</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>0.1958</X>
<Y>0.3371</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06431</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>0.1953</X>
<Y>0.3357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06409</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>0.1947</X>
<Y>0.3343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06384</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>0.1941</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06351</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>0.1935</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06308</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>0.1928</X>
<Y>0.3303</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06251</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>0.1922</X>
<Y>0.3290</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06180</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>0.1915</X>
<Y>0.3276</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06095</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>0.1907</X>
<Y>0.3263</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06001</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>0.1900</X>
<Y>0.3250</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05902</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>0.1892</X>
<Y>0.3238</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05803</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>0.1884</X>
<Y>0.3225</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05711</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>0.1876</X>
<Y>0.3212</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05628</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>0.1868</X>
<Y>0.3200</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05554</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>0.1859</X>
<Y>0.3187</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05487</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>0.1850</X>
<Y>0.3175</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05421</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>0.1841</X>
<Y>0.3163</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05349</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>0.1832</X>
<Y>0.3151</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05264</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>0.1822</X>
<Y>0.3139</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05161</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>0.1812</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05040</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>0.1802</X>
<Y>0.3116</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04905</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>0.1792</X>
<Y>0.3105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04765</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>0.1782</X>
<Y>0.3094</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04629</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>0.1771</X>
<Y>0.3083</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04505</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>0.1760</X>
<Y>0.3072</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04397</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>0.1749</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04306</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>0.1738</X>
<Y>0.3050</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04231</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>0.1726</X>
<Y>0.3040</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04166</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>0.1715</X>
<Y>0.3030</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04107</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>0.1703</X>
<Y>0.3020</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04049</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>0.1691</X>
<Y>0.3010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03985</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>0.1679</X>
<Y>0.3000</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03913</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>0.1666</X>
<Y>0.2991</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03828</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>0.1654</X>
<Y>0.2982</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03730</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>0.1641</X>
<Y>0.2973</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03619</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
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<UT type="prediction"><UT1-UTC>0.03498</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03369</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1602</X>
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<UT type="prediction"><UT1-UTC>0.03240</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1588</X>
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<UT type="prediction"><UT1-UTC>0.03117</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1575</X>
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<UT type="prediction"><UT1-UTC>0.03004</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1561</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02904</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1547</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02815</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1533</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02730</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1519</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02644</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1505</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02549</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1490</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02440</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1476</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02316</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1461</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02178</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1446</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02033</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1432</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01889</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1417</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01753</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1402</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01633</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1386</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01530</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1371</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01444</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1356</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01371</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1340</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01308</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1325</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01248</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1309</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01187</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1293</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01119</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1278</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01042</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1262</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00953</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1246</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00851</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1230</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00738</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58442</MJD>
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<dataEOP><pole type="prediction"><X>0.1214</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00617</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1198</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00492</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58444</MJD>
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<dataEOP><pole type="prediction"><X>0.1182</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00371</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1166</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00258</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1150</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00158</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1134</X>
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<UT type="prediction"><UT1-UTC>0.00071</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1118</X>
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<UT type="prediction"><UT1-UTC>-0.00007</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1101</X>
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<UT type="prediction"><UT1-UTC>-0.00084</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1085</X>
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<UT type="prediction"><UT1-UTC>-0.00166</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1069</X>
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<UT type="prediction"><UT1-UTC>-0.00260</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58452</MJD>
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<dataEOP><pole type="prediction"><X>0.1053</X>
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<UT type="prediction"><UT1-UTC>-0.00368</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58453</MJD>
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<dataEOP><pole type="prediction"><X>0.1037</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00487</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1021</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00612</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1004</X>
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<UT type="prediction"><UT1-UTC>-0.00737</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0988</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00854</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58457</MJD>
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<dataEOP><pole type="prediction"><X>0.0972</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00958</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0956</X>
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<UT type="prediction"><UT1-UTC>-0.01046</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0940</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01117</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0924</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01174</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0908</X>
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<UT type="prediction"><UT1-UTC>-0.01220</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0892</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01262</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0876</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01305</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.01356</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0845</X>
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<UT type="prediction"><UT1-UTC>-0.01419</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.01498</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.01592</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.01699</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01818</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0767</X>
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<UT type="prediction"><UT1-UTC>-0.01942</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0752</X>
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<UT type="prediction"><UT1-UTC>-0.02066</UT1-UTC>
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<MJD>58472</MJD>
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<dataEOP><pole type="prediction"><X>0.0737</X>
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<UT type="prediction"><UT1-UTC>-0.02182</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58473</MJD>
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<dataEOP><pole type="prediction"><X>0.0722</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02286</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58474</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0707</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02374</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58475</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0692</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02450</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58476</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0677</X>
<Y>0.2874</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02520</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58477</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0663</X>
<Y>0.2881</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02593</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58478</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0648</X>
<Y>0.2887</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02679</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58479</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0634</X>
<Y>0.2894</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02781</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58480</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0620</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02898</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58481</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0606</X>
<Y>0.2908</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03026</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58482</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0592</X>
<Y>0.2916</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03156</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58483</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0578</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03280</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58484</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0564</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03393</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58485</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0551</X>
<Y>0.2940</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58486</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0537</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03567</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58487</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0524</X>
<Y>0.2957</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03626</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58488</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0511</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03670</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58489</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0498</X>
<Y>0.2975</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03705</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58490</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0486</X>
<Y>0.2984</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03735</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58491</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0473</X>
<Y>0.2994</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03768</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>09</dateDay>
<MJD>58492</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0461</X>
<Y>0.3003</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03809</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58493</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0449</X>
<Y>0.3013</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03861</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>11</dateDay>
<MJD>58494</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0437</X>
<Y>0.3023</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03925</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>12</dateDay>
<MJD>58495</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0425</X>
<Y>0.3034</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03998</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>13</dateDay>
<MJD>58496</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0414</X>
<Y>0.3044</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04078</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>14</dateDay>
<MJD>58497</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0402</X>
<Y>0.3055</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04168</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>15</dateDay>
<MJD>58498</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0391</X>
<Y>0.3066</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04258</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>16</dateDay>
<MJD>58499</MJD>
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<dataEOP><pole type="prediction"><X>0.0380</X>
<Y>0.3077</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04354</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>17</dateDay>
<MJD>58500</MJD>
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<dataEOP><pole type="prediction"><X>0.0369</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04446</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>18</dateDay>
<MJD>58501</MJD>
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<dataEOP><pole type="prediction"><X>0.0359</X>
<Y>0.3099</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04530</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>19</dateDay>
<MJD>58502</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0349</X>
<Y>0.3111</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04607</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>20</dateDay>
<MJD>58503</MJD>
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<dataEOP><pole type="prediction"><X>0.0339</X>
<Y>0.3123</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04681</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>21</dateDay>
<MJD>58504</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0329</X>
<Y>0.3134</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04758</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>22</dateDay>
<MJD>58505</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0319</X>
<Y>0.3147</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04850</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>23</dateDay>
<MJD>58506</MJD>
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<dataEOP><pole type="prediction"><X>0.0310</X>
<Y>0.3159</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04964</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>24</dateDay>
<MJD>58507</MJD>
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<dataEOP><pole type="prediction"><X>0.0300</X>
<Y>0.3171</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05090</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>25</dateDay>
<MJD>58508</MJD>
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<dataEOP><pole type="prediction"><X>0.0292</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05228</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>26</dateDay>
<MJD>58509</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0283</X>
<Y>0.3196</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05370</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>27</dateDay>
<MJD>58510</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0274</X>
<Y>0.3209</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05501</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>28</dateDay>
<MJD>58511</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0266</X>
<Y>0.3222</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05616</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>29</dateDay>
<MJD>58512</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0258</X>
<Y>0.3235</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05709</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>30</dateDay>
<MJD>58513</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0251</X>
<Y>0.3248</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05779</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>31</dateDay>
<MJD>58514</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0243</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05830</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>01</dateDay>
<MJD>58515</MJD>
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<dataEOP><pole type="prediction"><X>0.0236</X>
<Y>0.3275</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05870</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>02</dateDay>
<MJD>58516</MJD>
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<dataEOP><pole type="prediction"><X>0.0229</X>
<Y>0.3289</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05898</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>03</dateDay>
<MJD>58517</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0222</X>
<Y>0.3302</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05922</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>04</dateDay>
<MJD>58518</MJD>
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<dataEOP><pole type="prediction"><X>0.0216</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05944</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>05</dateDay>
<MJD>58519</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0210</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05975</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>06</dateDay>
<MJD>58520</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0204</X>
<Y>0.3344</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06018</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>07</dateDay>
<MJD>58521</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0198</X>
<Y>0.3358</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06073</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>08</dateDay>
<MJD>58522</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0193</X>
<Y>0.3373</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06137</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>09</dateDay>
<MJD>58523</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0188</X>
<Y>0.3387</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06212</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58524</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.3401</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06295</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>11</dateDay>
<MJD>58525</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0178</X>
<Y>0.3416</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06380</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>12</dateDay>
<MJD>58526</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0174</X>
<Y>0.3430</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06468</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>13</dateDay>
<MJD>58527</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0170</X>
<Y>0.3445</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06558</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>14</dateDay>
<MJD>58528</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0166</X>
<Y>0.3460</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06654</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>15</dateDay>
<MJD>58529</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0163</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06747</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58530</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0160</X>
<Y>0.3489</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06838</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>58531</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0157</X>
<Y>0.3504</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06922</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>58532</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0154</X>
<Y>0.3519</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07014</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58533</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0152</X>
<Y>0.3534</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.07119</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.07251</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0148</X>
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<UT type="prediction"><UT1-UTC>-0.07405</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0146</X>
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<UT type="prediction"><UT1-UTC>-0.07570</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0145</X>
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<UT type="prediction"><UT1-UTC>-0.07739</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0144</X>
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<UT type="prediction"><UT1-UTC>-0.07895</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0144</X>
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<UT type="prediction"><UT1-UTC>-0.08040</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0143</X>
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<UT type="prediction"><UT1-UTC>-0.08169</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0143</X>
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<UT type="prediction"><UT1-UTC>-0.08278</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0144</X>
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<UT type="prediction"><UT1-UTC>-0.08370</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0144</X>
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<UT type="prediction"><UT1-UTC>-0.08445</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0145</X>
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<UT type="prediction"><UT1-UTC>-0.08519</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0146</X>
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<UT type="prediction"><UT1-UTC>-0.08594</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0147</X>
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<UT type="prediction"><UT1-UTC>-0.08676</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0149</X>
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<UT type="prediction"><UT1-UTC>-0.08769</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0151</X>
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<UT type="prediction"><UT1-UTC>-0.08874</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0153</X>
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<UT type="prediction"><UT1-UTC>-0.08993</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0156</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.09122</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0159</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.09259</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0162</X>
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<UT type="prediction"><UT1-UTC>-0.09400</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0165</X>
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<UT type="prediction"><UT1-UTC>-0.09537</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0169</X>
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<UT type="prediction"><UT1-UTC>-0.09667</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0173</X>
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<UT type="prediction"><UT1-UTC>-0.09787</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0177</X>
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<UT type="prediction"><UT1-UTC>-0.09904</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0182</X>
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<UT type="prediction"><UT1-UTC>-0.10016</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0186</X>
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<UT type="prediction"><UT1-UTC>-0.10125</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0191</X>
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<UT type="prediction"><UT1-UTC>-0.10234</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0197</X>
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<UT type="prediction"><UT1-UTC>-0.10359</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0202</X>
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<UT type="prediction"><UT1-UTC>-0.10502</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0208</X>
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<UT type="prediction"><UT1-UTC>-0.10664</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.10843</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.11031</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.11218</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.11382</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.11530</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.11666</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.11781</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0265</X>
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<UT type="prediction"><UT1-UTC>-0.11882</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.11983</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0282</X>
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<UT type="prediction"><UT1-UTC>-0.12079</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.12184</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0300</X>
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<UT type="prediction"><UT1-UTC>-0.12300</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0309</X>
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<UT type="prediction"><UT1-UTC>-0.12429</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0318</X>
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<UT type="prediction"><UT1-UTC>-0.12574</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0328</X>
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<UT type="prediction"><UT1-UTC>-0.12733</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0338</X>
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<UT type="prediction"><UT1-UTC>-0.12908</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13090</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13270</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0369</X>
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<UT type="prediction"><UT1-UTC>-0.13445</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.13611</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.13768</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.13923</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0414</X>
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<UT type="prediction"><UT1-UTC>-0.14068</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0426</X>
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<UT type="prediction"><UT1-UTC>-0.14212</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0438</X>
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<UT type="prediction"><UT1-UTC>-0.14367</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0450</X>
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<UT type="prediction"><UT1-UTC>-0.14540</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0463</X>
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<UT type="prediction"><UT1-UTC>-0.14735</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0475</X>
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<UT type="prediction"><UT1-UTC>-0.14953</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0488</X>
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<UT type="prediction"><UT1-UTC>-0.15184</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58592</MJD>
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<dataEOP><pole type="prediction"><X>0.0501</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.15412</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58593</MJD>
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<dataEOP><pole type="prediction"><X>0.0514</X>
<Y>0.4352</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15631</UT1-UTC>
</UT>
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<UT type="prediction"><UT1-UTC>-0.20650</UT1-UTC>
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