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<dataEOP><pole type="prediction"><X>0.1351</X>
<Y>0.4467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07867</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58282</MJD>
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<dataEOP><pole type="prediction"><X>0.1367</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07851</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58283</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1383</X>
<Y>0.4460</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07849</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58284</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1399</X>
<Y>0.4456</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07858</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58285</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1415</X>
<Y>0.4451</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07868</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58286</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1431</X>
<Y>0.4446</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07875</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58287</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1446</X>
<Y>0.4441</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07872</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58288</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1462</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07859</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58289</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1477</X>
<Y>0.4430</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07839</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58290</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1493</X>
<Y>0.4424</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07817</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58291</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1508</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07799</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58292</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1523</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07790</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58293</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1538</X>
<Y>0.4405</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07792</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58294</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1553</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07809</UT1-UTC>
</UT>
</dataEOP>
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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>0.1568</X>
<Y>0.4390</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07838</UT1-UTC>
</UT>
</dataEOP>
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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>0.1583</X>
<Y>0.4383</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07879</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>58297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1597</X>
<Y>0.4375</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07927</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>0.1612</X>
<Y>0.4368</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07979</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>0.1626</X>
<Y>0.4359</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08030</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>0.1640</X>
<Y>0.4351</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08077</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58301</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1654</X>
<Y>0.4343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08115</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>0.1668</X>
<Y>0.4334</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08143</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1682</X>
<Y>0.4325</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08160</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1696</X>
<Y>0.4316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08166</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>58305</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1709</X>
<Y>0.4306</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08163</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>0.1722</X>
<Y>0.4297</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08154</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>0.1735</X>
<Y>0.4287</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08144</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>58308</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1748</X>
<Y>0.4277</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08139</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>58309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1760</X>
<Y>0.4266</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08144</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>58310</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1773</X>
<Y>0.4256</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08160</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>0.1785</X>
<Y>0.4245</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08186</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>0.1797</X>
<Y>0.4234</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08216</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58313</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1809</X>
<Y>0.4223</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08241</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58314</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1820</X>
<Y>0.4212</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08254</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>58315</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1832</X>
<Y>0.4201</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08253</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58316</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1843</X>
<Y>0.4189</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08241</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58317</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1854</X>
<Y>0.4177</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08223</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>58318</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1865</X>
<Y>0.4165</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08208</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>58319</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1875</X>
<Y>0.4153</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08201</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>58320</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1885</X>
<Y>0.4141</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08206</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>0.1896</X>
<Y>0.4128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08227</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>0.1905</X>
<Y>0.4115</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08261</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>0.1915</X>
<Y>0.4103</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08307</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>0.1924</X>
<Y>0.4090</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08361</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>0.1933</X>
<Y>0.4077</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08420</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>0.1942</X>
<Y>0.4063</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08479</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>0.1951</X>
<Y>0.4050</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08532</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>0.1959</X>
<Y>0.4036</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08577</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>0.1967</X>
<Y>0.4023</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08610</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>0.1975</X>
<Y>0.4009</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08630</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>58331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1983</X>
<Y>0.3995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08637</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>58332</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1990</X>
<Y>0.3981</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08634</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>58333</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1997</X>
<Y>0.3967</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08623</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>58334</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3953</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08608</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>58335</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2011</X>
<Y>0.3938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08595</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>58336</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2017</X>
<Y>0.3924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08586</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>58337</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2023</X>
<Y>0.3909</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08586</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>58338</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2029</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08593</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>0.2034</X>
<Y>0.3880</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08603</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>0.2039</X>
<Y>0.3865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08609</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>0.2044</X>
<Y>0.3850</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08603</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>58342</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2049</X>
<Y>0.3835</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08580</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>58343</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2053</X>
<Y>0.3820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08540</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>0.2057</X>
<Y>0.3805</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08489</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>0.2061</X>
<Y>0.3789</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08435</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>0.2064</X>
<Y>0.3774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08387</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>0.2068</X>
<Y>0.3759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08350</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>0.2071</X>
<Y>0.3743</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08329</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>0.2073</X>
<Y>0.3728</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08322</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>0.2075</X>
<Y>0.3712</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08334</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>0.2077</X>
<Y>0.3697</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08356</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>0.2079</X>
<Y>0.3681</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08382</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>0.2081</X>
<Y>0.3666</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08410</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>0.2082</X>
<Y>0.3650</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08433</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>0.2083</X>
<Y>0.3635</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08447</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>0.2083</X>
<Y>0.3619</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08450</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>0.2084</X>
<Y>0.3603</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08440</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>0.2084</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08415</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>0.2083</X>
<Y>0.3572</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08379</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>0.2083</X>
<Y>0.3556</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08334</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>0.2082</X>
<Y>0.3541</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08286</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>0.2081</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08238</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>0.2079</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08195</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>0.2077</X>
<Y>0.3494</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08160</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>0.2075</X>
<Y>0.3478</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08132</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>0.2073</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08109</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>0.2070</X>
<Y>0.3447</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08083</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>0.2067</X>
<Y>0.3432</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08048</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>0.2064</X>
<Y>0.3417</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07997</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58370</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2060</X>
<Y>0.3401</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07926</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>0.2057</X>
<Y>0.3386</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07838</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58372</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2053</X>
<Y>0.3371</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07740</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58373</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2048</X>
<Y>0.3356</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07642</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58374</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2043</X>
<Y>0.3341</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07553</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58375</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2039</X>
<Y>0.3326</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07478</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58376</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2033</X>
<Y>0.3311</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07419</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>0.2028</X>
<Y>0.3296</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07376</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>0.2022</X>
<Y>0.3281</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07344</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>0.2016</X>
<Y>0.3266</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07320</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>0.2009</X>
<Y>0.3252</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07298</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>0.2003</X>
<Y>0.3237</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07272</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>0.1996</X>
<Y>0.3223</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07240</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>0.1989</X>
<Y>0.3209</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07196</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>0.1981</X>
<Y>0.3195</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07138</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>0.1974</X>
<Y>0.3181</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07066</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>0.1966</X>
<Y>0.3167</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06980</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>0.1957</X>
<Y>0.3153</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06884</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58388</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1949</X>
<Y>0.3139</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06783</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58389</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1940</X>
<Y>0.3126</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06683</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58390</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1931</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06588</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58391</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1922</X>
<Y>0.3099</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06503</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58392</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1912</X>
<Y>0.3086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06426</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58393</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1903</X>
<Y>0.3073</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06357</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58394</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1893</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06288</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58395</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1882</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06212</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58396</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1872</X>
<Y>0.3036</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06124</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>0.1861</X>
<Y>0.3023</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06017</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>0.1850</X>
<Y>0.3011</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05892</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>0.1839</X>
<Y>0.2999</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05753</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>0.1828</X>
<Y>0.2987</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05609</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58401</MJD>
</time>
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<UT type="prediction"><UT1-UTC>0.05469</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05340</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1792</X>
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<UT type="prediction"><UT1-UTC>0.05229</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1780</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05134</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1767</X>
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<UT type="prediction"><UT1-UTC>0.05054</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1754</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04985</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1742</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04922</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1728</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04858</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1715</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04791</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1702</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04714</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1688</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04625</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1674</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04522</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1660</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04406</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1646</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04279</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1632</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04145</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1617</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04011</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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</pole>
<UT type="prediction"><UT1-UTC>0.03881</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1587</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03762</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1572</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03655</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1557</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03558</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1542</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03466</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1527</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03371</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1511</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03268</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1495</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03150</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1479</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03016</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1464</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02869</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1447</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02714</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1431</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02559</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1415</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02412</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58430</MJD>
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<dataEOP><pole type="prediction"><X>0.1399</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02279</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58431</MJD>
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<dataEOP><pole type="prediction"><X>0.1382</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02161</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58432</MJD>
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<dataEOP><pole type="prediction"><X>0.1366</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02058</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1349</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01965</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1332</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01879</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1315</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01795</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1298</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01709</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1281</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01618</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58438</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1264</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01519</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58439</MJD>
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<dataEOP><pole type="prediction"><X>0.1247</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01411</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58440</MJD>
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<dataEOP><pole type="prediction"><X>0.1230</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01293</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58441</MJD>
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<dataEOP><pole type="prediction"><X>0.1213</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01166</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>0.1196</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01032</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58443</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1179</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00896</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58444</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1161</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00765</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58445</MJD>
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<dataEOP><pole type="prediction"><X>0.1144</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00643</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58446</MJD>
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<dataEOP><pole type="prediction"><X>0.1127</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00534</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58447</MJD>
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<dataEOP><pole type="prediction"><X>0.1109</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00438</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58448</MJD>
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<dataEOP><pole type="prediction"><X>0.1092</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00348</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58449</MJD>
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<dataEOP><pole type="prediction"><X>0.1074</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00259</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58450</MJD>
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<dataEOP><pole type="prediction"><X>0.1057</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00161</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58451</MJD>
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<dataEOP><pole type="prediction"><X>0.1040</X>
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<UT type="prediction"><UT1-UTC>0.00052</UT1-UTC>
</UT>
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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>0.1022</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00072</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>0.1005</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00207</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58454</MJD>
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<dataEOP><pole type="prediction"><X>0.0988</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00346</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58455</MJD>
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<dataEOP><pole type="prediction"><X>0.0970</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00482</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58456</MJD>
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<dataEOP><pole type="prediction"><X>0.0953</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00606</UT1-UTC>
</UT>
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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>0.0936</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00712</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58458</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0919</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00798</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58459</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0902</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00864</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58460</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0884</X>
<Y>0.2710</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00911</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0867</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00944</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58462</MJD>
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<dataEOP><pole type="prediction"><X>0.0850</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00969</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58463</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0834</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00992</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58464</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0817</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01021</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58465</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0800</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01057</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58466</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0783</X>
<Y>0.2734</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01102</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58467</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0767</X>
<Y>0.2739</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01159</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58468</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0750</X>
<Y>0.2745</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01226</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58469</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0734</X>
<Y>0.2750</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01303</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58470</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0717</X>
<Y>0.2756</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01388</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>58471</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0701</X>
<Y>0.2762</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01481</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58472</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0685</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01583</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58473</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0669</X>
<Y>0.2775</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01680</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58474</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0653</X>
<Y>0.2782</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01767</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58475</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0638</X>
<Y>0.2789</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01837</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58476</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0622</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01900</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58477</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0606</X>
<Y>0.2804</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01964</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58478</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0591</X>
<Y>0.2812</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02044</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>0.0576</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02143</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58480</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0561</X>
<Y>0.2829</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02255</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>0.0546</X>
<Y>0.2837</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02379</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>0.0531</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02502</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>0.0517</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02624</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58484</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0502</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02737</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>0.0488</X>
<Y>0.2874</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02831</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>0.0474</X>
<Y>0.2884</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02905</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58487</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0460</X>
<Y>0.2894</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02958</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58488</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0447</X>
<Y>0.2904</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03001</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58489</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0433</X>
<Y>0.2915</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03038</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>07</dateDay>
<MJD>58490</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0420</X>
<Y>0.2925</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03072</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>0.0407</X>
<Y>0.2936</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03112</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>0.0394</X>
<Y>0.2947</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03160</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>10</dateDay>
<MJD>58493</MJD>
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<dataEOP><pole type="prediction"><X>0.0381</X>
<Y>0.2958</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03219</UT1-UTC>
</UT>
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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>0.0369</X>
<Y>0.2970</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03288</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>12</dateDay>
<MJD>58495</MJD>
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<dataEOP><pole type="prediction"><X>0.0356</X>
<Y>0.2982</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03369</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>13</dateDay>
<MJD>58496</MJD>
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<dataEOP><pole type="prediction"><X>0.0344</X>
<Y>0.2993</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03461</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>14</dateDay>
<MJD>58497</MJD>
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<dataEOP><pole type="prediction"><X>0.0332</X>
<Y>0.3006</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03558</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58498</MJD>
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<dataEOP><pole type="prediction"><X>0.0321</X>
<Y>0.3018</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03654</UT1-UTC>
</UT>
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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>0.0309</X>
<Y>0.3030</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03748</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>17</dateDay>
<MJD>58500</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0298</X>
<Y>0.3043</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03842</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>18</dateDay>
<MJD>58501</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0287</X>
<Y>0.3056</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03928</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58502</MJD>
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<dataEOP><pole type="prediction"><X>0.0277</X>
<Y>0.3069</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04005</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>0.0266</X>
<Y>0.3082</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04071</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>0.0256</X>
<Y>0.3095</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04141</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>22</dateDay>
<MJD>58505</MJD>
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<dataEOP><pole type="prediction"><X>0.0246</X>
<Y>0.3108</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04221</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58506</MJD>
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<dataEOP><pole type="prediction"><X>0.0236</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04314</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>0.0227</X>
<Y>0.3136</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04427</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>25</dateDay>
<MJD>58508</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0218</X>
<Y>0.3150</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04554</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>0.0209</X>
<Y>0.3164</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04689</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58510</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0200</X>
<Y>0.3178</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04811</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>28</dateDay>
<MJD>58511</MJD>
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<dataEOP><pole type="prediction"><X>0.0192</X>
<Y>0.3193</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04924</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58512</MJD>
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<dataEOP><pole type="prediction"><X>0.0184</X>
<Y>0.3207</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05030</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>0.0176</X>
<Y>0.3222</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05115</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58514</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0168</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05185</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>0.0161</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05248</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58516</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0154</X>
<Y>0.3266</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05302</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58517</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0147</X>
<Y>0.3281</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05359</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dateDay>04</dateDay>
<MJD>58518</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0141</X>
<Y>0.3297</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05421</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58519</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0134</X>
<Y>0.3312</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05493</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58520</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0128</X>
<Y>0.3327</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05579</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0123</X>
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<UT type="prediction"><UT1-UTC>-0.05682</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0118</X>
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<UT type="prediction"><UT1-UTC>-0.05804</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0112</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05939</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58524</MJD>
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<dataEOP><pole type="prediction"><X>0.0108</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06082</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58525</MJD>
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<dataEOP><pole type="prediction"><X>0.0103</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06229</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58526</MJD>
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<dataEOP><pole type="prediction"><X>0.0099</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06377</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0095</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06523</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0092</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06669</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0088</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06803</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58530</MJD>
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<dataEOP><pole type="prediction"><X>0.0085</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06930</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58531</MJD>
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<dataEOP><pole type="prediction"><X>0.0083</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07058</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0080</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07199</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0078</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07360</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0077</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07546</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0075</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07753</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58536</MJD>
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<dataEOP><pole type="prediction"><X>0.0074</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.07968</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0073</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.08182</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0073</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.08382</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0072</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.08557</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0073</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.08709</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0073</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.08842</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0074</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.08963</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0075</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.09078</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0076</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.09190</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0078</X>
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<UT type="prediction"><UT1-UTC>-0.09295</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0080</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.09408</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0082</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.09527</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0084</X>
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<UT type="prediction"><UT1-UTC>-0.09660</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0087</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.09813</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0090</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.09988</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0094</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.10176</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0097</X>
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<UT type="prediction"><UT1-UTC>-0.10369</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0102</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.10562</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<UT type="prediction"><UT1-UTC>-0.10745</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0111</X>
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<UT type="prediction"><UT1-UTC>-0.10916</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0116</X>
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<UT type="prediction"><UT1-UTC>-0.11079</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0121</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.11233</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0126</X>
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<UT type="prediction"><UT1-UTC>-0.11379</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0132</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.11531</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58560</MJD>
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<dataEOP><pole type="prediction"><X>0.0138</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.11693</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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</pole>
<UT type="prediction"><UT1-UTC>-0.11875</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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</pole>
<UT type="prediction"><UT1-UTC>-0.12084</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58563</MJD>
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<dataEOP><pole type="prediction"><X>0.0159</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.12309</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58564</MJD>
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<dataEOP><pole type="prediction"><X>0.0166</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.12532</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>-0.12747</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0181</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.12950</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0189</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.13135</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<dataEOP><pole type="prediction"><X>0.0198</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.13297</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58569</MJD>
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<dataEOP><pole type="prediction"><X>0.0206</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.13439</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58570</MJD>
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<dataEOP><pole type="prediction"><X>0.0215</X>
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<UT type="prediction"><UT1-UTC>-0.13566</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58571</MJD>
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<dataEOP><pole type="prediction"><X>0.0225</X>
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<UT type="prediction"><UT1-UTC>-0.13682</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58572</MJD>
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<dataEOP><pole type="prediction"><X>0.0234</X>
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<UT type="prediction"><UT1-UTC>-0.13799</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58573</MJD>
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<dataEOP><pole type="prediction"><X>0.0244</X>
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<UT type="prediction"><UT1-UTC>-0.13920</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58574</MJD>
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<dataEOP><pole type="prediction"><X>0.0254</X>
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<UT type="prediction"><UT1-UTC>-0.14052</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58575</MJD>
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<dataEOP><pole type="prediction"><X>0.0264</X>
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<UT type="prediction"><UT1-UTC>-0.14185</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58576</MJD>
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<dataEOP><pole type="prediction"><X>0.0275</X>
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<UT type="prediction"><UT1-UTC>-0.14334</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58577</MJD>
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<dataEOP><pole type="prediction"><X>0.0286</X>
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<UT type="prediction"><UT1-UTC>-0.14499</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58578</MJD>
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<dataEOP><pole type="prediction"><X>0.0297</X>
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<UT type="prediction"><UT1-UTC>-0.14672</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58579</MJD>
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<dataEOP><pole type="prediction"><X>0.0308</X>
<Y>0.4240</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.14856</UT1-UTC>
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<timeSeries><time><dateYear>2019</dateYear>
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<MJD>58580</MJD>
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<dataEOP><pole type="prediction"><X>0.0319</X>
<Y>0.4252</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15040</UT1-UTC>
</UT>
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