<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers">
<version>
<product>BulletinA</product>
<date>2015-08-20</date>
<volume>XXVIII</volume>
<number>034</number>
</version>
<metaFileName/>
<headerLine>
<headerLineDate>
<sYear>Year</sYear>
<sMonth>Month</sMonth>
<sDay>Day</sDay>
<sTime>Time</sTime>
<sMJD>MJD</sMJD>
</headerLineDate>
<headerLineEOP>
<product source="BulletinA">
<sX>X</sX>
<ssigma_X>sigma_X</ssigma_X>
<sY>Y</sY>
<ssigma_Y>sigma_Y</ssigma_Y>
<sUT1-UTC>UT1-UTC</sUT1-UTC>
<ssigma_UT1-UTC>sigma_UT1-UTC</ssigma_UT1-UTC>
<sdPsi>dPsi</sdPsi>
<ssigma_dPsi>sigma_dPsi</ssigma_dPsi>
<sdEpsilon>dEpsilon</sdEpsilon>
<ssigma_dEpsilon>sigma_dEpsilon</ssigma_dEpsilon>
<sdX>dX</sdX>
<ssigma_dX>sigma_dX</ssigma_dX>
<sdY>dY</sdY>
<ssigma_dY>sigma_dY</ssigma_dY>
</product>
</headerLineEOP>
<headerLineUnits>
<product source="BulletinA">
<X>arcsec</X>
<sigma_X>arcsec</sigma_X>
<Y>arcsec</Y>
<sigma_Y>arcsec</sigma_Y>
<UT1-UTC>sec</UT1-UTC>
<sigma_UT1-UTC>sec</sigma_UT1-UTC>
<dPsi>marcsec</dPsi>
<sigma_dPsi>marcsec</sigma_dPsi>
<dEpsilon>marcsec</dEpsilon>
<sigma_dEpsilon>marcsec</sigma_dEpsilon>
<dX>marcsec</dX>
<sigma_dX>marcsec</sigma_dX>
<dY>marcsec</dY>
<sigma_dY>marcsec</sigma_dY>
</product>
</headerLineUnits>
</headerLine>
<data product="BulletinA" source="BulletinA">
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57232</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-96.63</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.24</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.252</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.211</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>57233</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-96.42</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.41</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.260</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.198</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>57234</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-96.42</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.53</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.251</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.176</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>57235</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-96.59</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.43</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.238</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.168</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>57236</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-96.88</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.18</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.222</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.184</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>57237</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-97.27</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-12.99</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>0.204</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.198</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>57238</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-97.70</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.01</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>0.181</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.213</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>57239</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-98.02</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.15</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>0.161</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.206</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>57248</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.21537</X>
<sigma_X>.00009</sigma_X>
<Y>0.39961</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.290184</UT1-UTC>
<sigma_UT1-UTC>0.000008</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>57249</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.21704</X>
<sigma_X>.00009</sigma_X>
<Y>0.39806</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.289411</UT1-UTC>
<sigma_UT1-UTC>0.000007</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>57250</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.21841</X>
<sigma_X>.00009</sigma_X>
<Y>0.39677</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.288597</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>57251</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.21942</X>
<sigma_X>.00010</sigma_X>
<Y>0.39543</Y>
<sigma_Y>.00010</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.287749</UT1-UTC>
<sigma_UT1-UTC>0.000007</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>57252</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.21984</X>
<sigma_X>.00009</sigma_X>
<Y>0.39395</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.286923</UT1-UTC>
<sigma_UT1-UTC>0.000007</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>57253</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.21961</X>
<sigma_X>.00009</sigma_X>
<Y>0.39229</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.286101</UT1-UTC>
<sigma_UT1-UTC>0.000007</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>57254</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.21947</X>
<sigma_X>.00010</sigma_X>
<Y>0.39045</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.285270</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>57255</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2196</X>
<Y>0.3885</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28437</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>57256</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2201</X>
<Y>0.3867</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28348</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>57257</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2206</X>
<Y>0.3849</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>57258</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2213</X>
<Y>0.3832</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28182</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>57259</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2219</X>
<Y>0.3815</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28099</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>57260</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2224</X>
<Y>0.3799</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>57261</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2227</X>
<Y>0.3782</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27909</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>57262</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2231</X>
<Y>0.3764</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27792</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>57263</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2235</X>
<Y>0.3746</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27655</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>57264</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2238</X>
<Y>0.3728</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27498</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>57265</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2242</X>
<Y>0.3710</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27327</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>57266</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2246</X>
<Y>0.3691</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27152</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>57267</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2250</X>
<Y>0.3673</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26985</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>57268</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2253</X>
<Y>0.3656</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26833</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>57269</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2256</X>
<Y>0.3638</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26697</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>57270</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2258</X>
<Y>0.3621</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>57271</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2260</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26464</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>57272</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2262</X>
<Y>0.3586</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26359</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>57273</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2263</X>
<Y>0.3569</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26255</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>57274</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2264</X>
<Y>0.3551</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26148</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>57275</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2265</X>
<Y>0.3533</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26036</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>57276</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2265</X>
<Y>0.3516</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25917</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>57277</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2266</X>
<Y>0.3498</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25791</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>57278</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2265</X>
<Y>0.3480</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25660</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>57279</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2265</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25526</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>57280</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2264</X>
<Y>0.3445</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25390</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>57281</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2263</X>
<Y>0.3427</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25256</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>57282</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2261</X>
<Y>0.3409</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25125</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>57283</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2259</X>
<Y>0.3392</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24998</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>57284</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2257</X>
<Y>0.3374</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24875</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>57285</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2255</X>
<Y>0.3356</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24755</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>57286</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2252</X>
<Y>0.3338</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24634</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>57287</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2249</X>
<Y>0.3321</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24507</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>57288</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2246</X>
<Y>0.3303</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24369</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>57289</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2242</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>57290</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2238</X>
<Y>0.3268</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24042</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>57291</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2234</X>
<Y>0.3250</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23848</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>57292</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2229</X>
<Y>0.3233</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23635</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>57293</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2224</X>
<Y>0.3215</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23411</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>57294</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2219</X>
<Y>0.3198</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23186</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>57295</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2213</X>
<Y>0.3180</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22969</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>57296</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2207</X>
<Y>0.3163</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22770</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>57297</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2201</X>
<Y>0.3146</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22589</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>57298</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2195</X>
<Y>0.3129</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22427</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>57299</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2188</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22277</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>57300</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2181</X>
<Y>0.3095</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22135</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>57301</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2174</X>
<Y>0.3078</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21994</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>57302</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2166</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21852</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>57303</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2158</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21706</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>57304</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2150</X>
<Y>0.3028</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>57305</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2141</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>57306</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2132</X>
<Y>0.2996</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21235</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>57307</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2123</X>
<Y>0.2980</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21073</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>57308</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2114</X>
<Y>0.2964</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20913</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>57309</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2104</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20756</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>57310</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2094</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20605</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>57311</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2084</X>
<Y>0.2916</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20459</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>57312</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2073</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20318</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>57313</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2062</X>
<Y>0.2885</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20180</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>57314</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2051</X>
<Y>0.2870</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20041</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>57315</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2040</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19898</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>57316</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2028</X>
<Y>0.2840</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19745</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>57317</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2017</X>
<Y>0.2826</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19576</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>57318</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2004</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19390</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>57319</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1992</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19187</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>57320</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1979</X>
<Y>0.2783</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18970</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>57321</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1967</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18747</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>57322</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1953</X>
<Y>0.2755</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18529</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>57323</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1940</X>
<Y>0.2741</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18323</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>57324</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1926</X>
<Y>0.2727</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18134</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>57325</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1913</X>
<Y>0.2714</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17964</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>57326</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1899</X>
<Y>0.2701</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17809</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>57327</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1884</X>
<Y>0.2688</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17664</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>57328</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1870</X>
<Y>0.2676</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17523</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>57329</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1855</X>
<Y>0.2663</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17383</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>57330</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1840</X>
<Y>0.2651</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17240</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>57331</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1825</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17093</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>57332</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1810</X>
<Y>0.2627</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16941</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>57333</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1794</X>
<Y>0.2615</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16787</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>57334</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1778</X>
<Y>0.2604</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16632</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>57335</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1762</X>
<Y>0.2593</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16479</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>57336</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1746</X>
<Y>0.2582</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16332</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>57337</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1730</X>
<Y>0.2571</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16190</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>57338</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1713</X>
<Y>0.2561</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16056</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>57339</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1697</X>
<Y>0.2550</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15929</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>57340</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1680</X>
<Y>0.2540</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15807</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>57341</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1663</X>
<Y>0.2531</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15688</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>57342</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1645</X>
<Y>0.2521</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15567</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>57343</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1628</X>
<Y>0.2512</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15440</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>57344</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1611</X>
<Y>0.2503</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15302</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>57345</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1593</X>
<Y>0.2494</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>57346</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1575</X>
<Y>0.2486</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14981</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>57347</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1557</X>
<Y>0.2478</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14800</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>57348</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1539</X>
<Y>0.2470</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14610</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>57349</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1521</X>
<Y>0.2462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14419</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>57350</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1502</X>
<Y>0.2454</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14237</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>57351</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1484</X>
<Y>0.2447</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14069</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>57352</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1465</X>
<Y>0.2440</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13918</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>57353</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1447</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13782</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>57354</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1428</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13659</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>57355</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1409</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13541</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>57356</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1390</X>
<Y>0.2416</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13425</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>57357</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1371</X>
<Y>0.2410</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13307</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>57358</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1352</X>
<Y>0.2405</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13186</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>57359</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1333</X>
<Y>0.2400</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13062</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>57360</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1313</X>
<Y>0.2395</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12935</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>57361</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1294</X>
<Y>0.2391</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12806</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>57362</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1274</X>
<Y>0.2387</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>57363</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1255</X>
<Y>0.2383</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12542</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>57364</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1235</X>
<Y>0.2379</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12411</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>57365</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1216</X>
<Y>0.2376</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12286</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>57366</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1196</X>
<Y>0.2373</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12169</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57367</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1176</X>
<Y>0.2370</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12058</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57368</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1156</X>
<Y>0.2368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57369</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1137</X>
<Y>0.2366</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11845</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57370</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1117</X>
<Y>0.2364</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11735</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57371</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1097</X>
<Y>0.2363</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11615</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57372</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1077</X>
<Y>0.2361</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11483</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57373</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1057</X>
<Y>0.2361</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11337</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57374</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1038</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57375</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1018</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11013</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57376</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0998</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10846</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57377</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0978</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10684</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>57378</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0958</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10533</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>57379</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0939</X>
<Y>0.2361</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57380</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0919</X>
<Y>0.2362</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10273</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57381</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0899</X>
<Y>0.2364</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10161</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57382</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0879</X>
<Y>0.2365</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10056</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57383</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0860</X>
<Y>0.2368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57384</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0840</X>
<Y>0.2370</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09845</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57385</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0821</X>
<Y>0.2372</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09735</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57386</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0801</X>
<Y>0.2375</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09621</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57387</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0782</X>
<Y>0.2379</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09503</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57388</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0763</X>
<Y>0.2382</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09384</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>57389</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0743</X>
<Y>0.2386</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>57390</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0724</X>
<Y>0.2390</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>57391</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0705</X>
<Y>0.2394</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09035</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>57392</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0686</X>
<Y>0.2399</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08929</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>57393</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0668</X>
<Y>0.2404</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08829</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>57394</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0649</X>
<Y>0.2409</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08735</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>57395</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0630</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08645</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>57396</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0612</X>
<Y>0.2420</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08555</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>57397</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0593</X>
<Y>0.2426</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08461</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>57398</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0575</X>
<Y>0.2432</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>57399</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0557</X>
<Y>0.2439</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08241</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>57400</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0539</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08110</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>57401</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0521</X>
<Y>0.2453</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07964</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>57402</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0503</X>
<Y>0.2460</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07810</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>57403</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0486</X>
<Y>0.2468</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07654</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>57404</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0468</X>
<Y>0.2476</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07503</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>57405</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0451</X>
<Y>0.2484</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07361</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57406</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0434</X>
<Y>0.2493</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07232</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>57407</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0417</X>
<Y>0.2501</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07117</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>57408</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0400</X>
<Y>0.2510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07013</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>57409</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0383</X>
<Y>0.2520</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06915</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>57410</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0367</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>57411</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0351</X>
<Y>0.2539</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06720</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>57412</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0335</X>
<Y>0.2549</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06616</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>57413</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0319</X>
<Y>0.2559</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06506</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>57414</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0303</X>
<Y>0.2569</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06390</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>57415</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0288</X>
<Y>0.2580</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06272</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>57416</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0273</X>
<Y>0.2591</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06152</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>57417</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0258</X>
<Y>0.2602</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>57418</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0243</X>
<Y>0.2614</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05917</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>57419</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0228</X>
<Y>0.2625</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05806</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>57420</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0214</X>
<Y>0.2637</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05702</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>57421</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0200</X>
<Y>0.2649</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05602</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>57422</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0186</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05506</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>57423</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0172</X>
<Y>0.2674</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05411</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>57424</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0158</X>
<Y>0.2687</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05311</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>57425</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0145</X>
<Y>0.2700</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05203</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>57426</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0132</X>
<Y>0.2713</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05081</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>57427</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0120</X>
<Y>0.2726</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04941</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>57428</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0107</X>
<Y>0.2740</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>57429</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0095</X>
<Y>0.2753</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04613</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>57430</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0083</X>
<Y>0.2767</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04437</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>57431</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0071</X>
<Y>0.2781</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>57432</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0060</X>
<Y>0.2796</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04100</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>57433</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0049</X>
<Y>0.2810</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03951</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>57434</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0038</X>
<Y>0.2825</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>57435</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0027</X>
<Y>0.2840</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03694</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>57436</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0017</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03579</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>57437</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0007</X>
<Y>0.2870</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03468</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>57438</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0003</X>
<Y>0.2885</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03354</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>57439</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0013</X>
<Y>0.2900</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03235</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>57440</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0022</X>
<Y>0.2916</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03110</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>57441</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0031</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>57442</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0039</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02845</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57443</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0048</X>
<Y>0.2964</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02709</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>57444</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0056</X>
<Y>0.2980</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>57445</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0063</X>
<Y>0.2996</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02445</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>57446</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0071</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02320</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>29</dateDay>
<MJD>57447</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0078</X>
<Y>0.3029</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02202</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57448</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0085</X>
<Y>0.3046</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02089</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>57449</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0091</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01981</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>57450</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0098</X>
<Y>0.3079</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01876</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57451</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0104</X>
<Y>0.3096</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01769</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>57452</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0109</X>
<Y>0.3113</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01657</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57453</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0115</X>
<Y>0.3130</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01534</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>57454</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0120</X>
<Y>0.3148</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01395</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57455</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0124</X>
<Y>0.3165</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01236</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57456</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0129</X>
<Y>0.3182</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01058</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57457</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0133</X>
<Y>0.3200</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00865</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>57458</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0136</X>
<Y>0.3217</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00667</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>57459</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0140</X>
<Y>0.3235</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00472</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>57460</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0143</X>
<Y>0.3253</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00288</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57461</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0146</X>
<Y>0.3270</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00116</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57462</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0148</X>
<Y>0.3288</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00042</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57463</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0150</X>
<Y>0.3306</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00192</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57464</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0152</X>
<Y>0.3324</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00337</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57465</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0153</X>
<Y>0.3342</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00483</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57466</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0155</X>
<Y>0.3360</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00633</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57467</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0156</X>
<Y>0.3378</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00789</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57468</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0156</X>
<Y>0.3396</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00950</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57469</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0156</X>
<Y>0.3414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01116</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57470</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0156</X>
<Y>0.3432</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01282</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57471</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0156</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01446</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57472</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0155</X>
<Y>0.3468</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01603</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57473</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0154</X>
<Y>0.3486</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01749</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57474</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0152</X>
<Y>0.3504</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01885</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57475</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0151</X>
<Y>0.3522</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02011</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57476</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0149</X>
<Y>0.3540</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02132</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57477</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0146</X>
<Y>0.3558</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02247</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57478</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0143</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02373</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57479</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0140</X>
<Y>0.3594</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02499</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57480</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0137</X>
<Y>0.3611</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02641</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57481</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0134</X>
<Y>0.3629</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02802</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57482</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0130</X>
<Y>0.3647</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02975</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>57483</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0125</X>
<Y>0.3665</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>57484</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0121</X>
<Y>0.3683</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>57485</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0116</X>
<Y>0.3700</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03628</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>57486</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0111</X>
<Y>0.3718</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03860</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57487</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0105</X>
<Y>0.3735</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04075</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>57488</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0099</X>
<Y>0.3753</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04274</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>57489</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0093</X>
<Y>0.3770</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04450</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>57490</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0087</X>
<Y>0.3787</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04604</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>57491</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0080</X>
<Y>0.3805</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04750</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57492</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0073</X>
<Y>0.3822</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04896</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57493</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0066</X>
<Y>0.3839</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05039</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57494</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0058</X>
<Y>0.3856</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57495</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0050</X>
<Y>0.3872</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05314</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57496</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0042</X>
<Y>0.3889</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05448</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>57497</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0033</X>
<Y>0.3906</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05589</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57498</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0025</X>
<Y>0.3922</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05728</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>57499</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0015</X>
<Y>0.3938</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05872</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>57500</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0006</X>
<Y>0.3955</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06014</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57501</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0004</X>
<Y>0.3971</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57502</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0013</X>
<Y>0.3987</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06269</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57503</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0024</X>
<Y>0.4002</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06382</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57504</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0034</X>
<Y>0.4018</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57505</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0045</X>
<Y>0.4034</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06603</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>57506</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0056</X>
<Y>0.4049</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06712</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>57507</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0067</X>
<Y>0.4064</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06822</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>57508</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0079</X>
<Y>0.4079</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06944</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>57509</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0090</X>
<Y>0.4094</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07074</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>57510</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0102</X>
<Y>0.4109</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07224</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>57511</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0115</X>
<Y>0.4123</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07389</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>57512</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0127</X>
<Y>0.4138</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07564</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>57513</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0140</X>
<Y>0.4152</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07748</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>57514</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0153</X>
<Y>0.4166</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07930</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>57515</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0166</X>
<Y>0.4180</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08102</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>57516</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0179</X>
<Y>0.4193</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08258</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>57517</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0193</X>
<Y>0.4207</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>57518</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0207</X>
<Y>0.4220</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08521</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>57519</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0221</X>
<Y>0.4233</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08634</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>57520</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0235</X>
<Y>0.4246</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08747</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>57521</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0250</X>
<Y>0.4259</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08868</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>57522</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0265</X>
<Y>0.4271</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08991</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>57523</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0280</X>
<Y>0.4283</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09110</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>57524</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0295</X>
<Y>0.4295</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09234</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>57525</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0310</X>
<Y>0.4307</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09352</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>57526</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0326</X>
<Y>0.4319</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09462</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>57527</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0341</X>
<Y>0.4330</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09561</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>57528</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0357</X>
<Y>0.4341</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>57529</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0373</X>
<Y>0.4352</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09739</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>57530</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0390</X>
<Y>0.4363</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09808</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>57531</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0406</X>
<Y>0.4373</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09861</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>57532</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0423</X>
<Y>0.4383</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09906</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>57533</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0439</X>
<Y>0.4393</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09950</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>57534</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0456</X>
<Y>0.4403</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09994</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>57535</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0473</X>
<Y>0.4412</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10041</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>57536</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0491</X>
<Y>0.4422</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10094</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>57537</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0508</X>
<Y>0.4430</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10160</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>57538</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0525</X>
<Y>0.4439</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10245</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>57539</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0543</X>
<Y>0.4448</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10347</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>57540</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0561</X>
<Y>0.4456</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10456</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>57541</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0579</X>
<Y>0.4464</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10563</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>57542</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0597</X>
<Y>0.4471</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10657</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>57543</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0615</X>
<Y>0.4479</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10734</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>57544</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0633</X>
<Y>0.4486</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10799</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>57545</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0651</X>
<Y>0.4493</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10851</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>57546</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0670</X>
<Y>0.4499</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10891</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>57547</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0688</X>
<Y>0.4506</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10924</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>57548</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0707</X>
<Y>0.4512</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10951</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>57549</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0725</X>
<Y>0.4518</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10983</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>57550</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0744</X>
<Y>0.4523</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11019</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>57551</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0763</X>
<Y>0.4528</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11058</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>57552</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0782</X>
<Y>0.4533</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11091</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>57553</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0801</X>
<Y>0.4538</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11123</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>57554</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0820</X>
<Y>0.4542</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>57555</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0839</X>
<Y>0.4546</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11169</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>57556</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0858</X>
<Y>0.4550</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11189</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>57557</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0877</X>
<Y>0.4554</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>57558</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0896</X>
<Y>0.4557</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11193</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>57559</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0915</X>
<Y>0.4560</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11186</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>57560</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0934</X>
<Y>0.4563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>57561</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0954</X>
<Y>0.4565</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11175</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>57562</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0973</X>
<Y>0.4567</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11172</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>57563</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0992</X>
<Y>0.4569</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11169</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>57564</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1011</X>
<Y>0.4571</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11180</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>57565</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1031</X>
<Y>0.4572</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11209</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>57566</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1050</X>
<Y>0.4573</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11250</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>57567</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1069</X>
<Y>0.4574</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11297</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>57568</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1088</X>
<Y>0.4574</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11344</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>57569</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1108</X>
<Y>0.4574</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11388</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>57570</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1127</X>
<Y>0.4574</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11422</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57571</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1146</X>
<Y>0.4574</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11445</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>57572</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1165</X>
<Y>0.4573</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11466</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>57573</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1184</X>
<Y>0.4572</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11472</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>57574</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1203</X>
<Y>0.4571</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11471</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>57575</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1222</X>
<Y>0.4569</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11467</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>57576</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1241</X>
<Y>0.4568</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11469</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>57577</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1260</X>
<Y>0.4565</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11470</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57578</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1279</X>
<Y>0.4563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11482</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57579</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1298</X>
<Y>0.4560</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57580</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1316</X>
<Y>0.4557</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11508</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57581</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1335</X>
<Y>0.4554</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11517</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>57582</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1353</X>
<Y>0.4551</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11524</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>57583</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1372</X>
<Y>0.4547</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11519</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>57584</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1390</X>
<Y>0.4543</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11499</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>57585</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1408</X>
<Y>0.4539</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11473</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>57586</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1426</X>
<Y>0.4534</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11444</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>57587</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1444</X>
<Y>0.4529</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11417</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>57588</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1462</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11384</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57589</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1480</X>
<Y>0.4519</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11356</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57590</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1497</X>
<Y>0.4513</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11341</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>57591</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1515</X>
<Y>0.4507</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11339</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>57592</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1532</X>
<Y>0.4501</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11345</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>57593</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1550</X>
<Y>0.4494</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11369</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>57594</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1567</X>
<Y>0.4488</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11398</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>57595</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1584</X>
<Y>0.4481</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11430</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>57596</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1600</X>
<Y>0.4473</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11453</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>57597</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1617</X>
<Y>0.4466</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11467</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57598</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1633</X>
<Y>0.4458</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11466</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>57599</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1650</X>
<Y>0.4450</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11463</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>57600</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1666</X>
<Y>0.4442</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11457</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>57601</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1682</X>
<Y>0.4434</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11443</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>57602</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1698</X>
<Y>0.4425</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11443</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>57603</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1713</X>
<Y>0.4416</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11448</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>57604</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1729</X>
<Y>0.4407</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11462</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>57605</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1744</X>
<Y>0.4397</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>57606</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1759</X>
<Y>0.4388</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11520</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>57607</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1774</X>
<Y>0.4378</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11559</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>57608</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1788</X>
<Y>0.4368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11590</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>57609</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1803</X>
<Y>0.4358</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11612</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>57610</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1817</X>
<Y>0.4347</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11624</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>57611</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1831</X>
<Y>0.4336</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11625</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>57612</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1845</X>
<Y>0.4326</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11616</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>57613</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1858</X>
<Y>0.4314</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11607</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>57614</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1872</X>
<Y>0.4303</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>57615</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1885</X>
<Y>0.4291</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>57616</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1898</X>
<Y>0.4280</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11608</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>57617</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1910</X>
<Y>0.4268</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11629</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>57618</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1923</X>
<Y>0.4256</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11665</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>57619</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1935</X>
<Y>0.4243</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>
