<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers">
<version>
<product>BulletinA</product>
<date>2015-06-25</date>
<volume>XXVIII</volume>
<number>026</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>06</dateMonth>
<dateDay>19</dateDay>
<MJD>57192</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.11914</X>
<sigma_X>.00009</sigma_X>
<Y>0.45321</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.668430</UT1-UTC>
<sigma_UT1-UTC>0.000022</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>57193</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.12125</X>
<sigma_X>.00009</sigma_X>
<Y>0.45302</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.668821</UT1-UTC>
<sigma_UT1-UTC>0.000023</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>57194</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.12316</X>
<sigma_X>.00009</sigma_X>
<Y>0.45296</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.669333</UT1-UTC>
<sigma_UT1-UTC>0.000017</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>57195</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.12508</X>
<sigma_X>.00009</sigma_X>
<Y>0.45279</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.669932</UT1-UTC>
<sigma_UT1-UTC>0.000015</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>57196</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.12709</X>
<sigma_X>.00009</sigma_X>
<Y>0.45238</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.670604</UT1-UTC>
<sigma_UT1-UTC>0.000015</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>57197</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.12921</X>
<sigma_X>.00009</sigma_X>
<Y>0.45197</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.671406</UT1-UTC>
<sigma_UT1-UTC>0.000065</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>57198</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.13147</X>
<sigma_X>.00009</sigma_X>
<Y>0.45158</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.672233</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>57199</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1336</X>
<Y>0.4513</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>57200</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1358</X>
<Y>0.4509</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>57201</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1379</X>
<Y>0.4506</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67449</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>57202</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1398</X>
<Y>0.4503</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67515</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>57203</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1417</X>
<Y>0.4500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67574</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>57204</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1436</X>
<Y>0.4496</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32374</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57205</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1454</X>
<Y>0.4491</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>57206</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1472</X>
<Y>0.4487</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32263</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>57207</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1490</X>
<Y>0.4482</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>57208</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1508</X>
<Y>0.4477</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32109</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>57209</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1526</X>
<Y>0.4471</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>57210</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1544</X>
<Y>0.4466</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31900</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>57211</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1561</X>
<Y>0.4460</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31790</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57212</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1578</X>
<Y>0.4454</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31688</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57213</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1595</X>
<Y>0.4447</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31602</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57214</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1612</X>
<Y>0.4440</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31537</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57215</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1628</X>
<Y>0.4433</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31494</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>57216</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1645</X>
<Y>0.4426</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31470</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>57217</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1661</X>
<Y>0.4418</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31458</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>57218</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1678</X>
<Y>0.4410</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31453</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>57219</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1694</X>
<Y>0.4402</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31448</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>57220</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1710</X>
<Y>0.4393</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31440</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>57221</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1725</X>
<Y>0.4385</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31425</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>57222</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1741</X>
<Y>0.4375</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31406</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57223</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1756</X>
<Y>0.4366</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31382</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57224</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1772</X>
<Y>0.4357</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31353</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>57225</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1787</X>
<Y>0.4347</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31323</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>57226</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1802</X>
<Y>0.4337</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31292</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>57227</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1817</X>
<Y>0.4326</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31263</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>57228</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1831</X>
<Y>0.4316</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31235</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>57229</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1846</X>
<Y>0.4305</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31211</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>57230</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1860</X>
<Y>0.4294</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31189</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>57231</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1874</X>
<Y>0.4283</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31168</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57232</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1888</X>
<Y>0.4272</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31146</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>57233</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1902</X>
<Y>0.4260</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31117</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>57234</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1915</X>
<Y>0.4248</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31076</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>57235</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1928</X>
<Y>0.4236</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31020</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>57236</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1941</X>
<Y>0.4224</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30948</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>57237</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1954</X>
<Y>0.4212</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30864</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>57238</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1967</X>
<Y>0.4199</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30774</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>57239</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1979</X>
<Y>0.4186</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30687</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>57240</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1992</X>
<Y>0.4173</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30609</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>57241</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2003</X>
<Y>0.4160</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30547</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>57242</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2015</X>
<Y>0.4147</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30502</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>57243</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2027</X>
<Y>0.4133</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30472</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>57244</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2038</X>
<Y>0.4119</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30454</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>57245</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2049</X>
<Y>0.4105</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30441</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>57246</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2060</X>
<Y>0.4091</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30430</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>57247</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2070</X>
<Y>0.4077</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30414</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>57248</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2081</X>
<Y>0.4062</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30391</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>57249</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2091</X>
<Y>0.4048</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30362</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>57250</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2100</X>
<Y>0.4033</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30327</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>57251</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2110</X>
<Y>0.4018</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30288</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>57252</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2119</X>
<Y>0.4003</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30246</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>57253</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2128</X>
<Y>0.3988</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30204</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>57254</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2137</X>
<Y>0.3972</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30163</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>0.2145</X>
<Y>0.3957</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30125</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>0.2153</X>
<Y>0.3941</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30090</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>0.2161</X>
<Y>0.3925</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30057</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>0.2169</X>
<Y>0.3910</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30026</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>0.2176</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29994</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>0.2183</X>
<Y>0.3877</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29956</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>0.2190</X>
<Y>0.3861</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29905</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>0.2196</X>
<Y>0.3845</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29838</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>0.2202</X>
<Y>0.3828</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29750</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>0.2208</X>
<Y>0.3812</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29643</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>0.2214</X>
<Y>0.3795</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29522</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>0.2219</X>
<Y>0.3778</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29399</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>0.2224</X>
<Y>0.3761</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29281</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>0.2229</X>
<Y>0.3744</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29177</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>0.2233</X>
<Y>0.3727</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29090</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>0.2238</X>
<Y>0.3710</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29020</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>0.2241</X>
<Y>0.3693</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28961</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>0.2245</X>
<Y>0.3675</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28911</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>0.2248</X>
<Y>0.3658</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28862</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>0.2251</X>
<Y>0.3641</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28810</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>0.2254</X>
<Y>0.3623</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28753</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>0.2256</X>
<Y>0.3606</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28687</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>0.2258</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28614</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>0.2260</X>
<Y>0.3571</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28534</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>0.2261</X>
<Y>0.3553</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28448</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>0.2262</X>
<Y>0.3535</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28360</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>0.3518</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28272</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>0.2263</X>
<Y>0.3500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28186</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>0.2263</X>
<Y>0.3482</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28104</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>0.2263</X>
<Y>0.3464</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28026</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>0.2263</X>
<Y>0.3446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27951</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>0.2262</X>
<Y>0.3429</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27878</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>0.2261</X>
<Y>0.3411</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27800</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>0.2259</X>
<Y>0.3393</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27714</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>0.2258</X>
<Y>0.3375</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27613</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>0.2256</X>
<Y>0.3358</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27493</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>0.2253</X>
<Y>0.3340</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27351</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>0.2251</X>
<Y>0.3322</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27191</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>0.2248</X>
<Y>0.3304</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27019</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>0.2244</X>
<Y>0.3287</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26846</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>0.2241</X>
<Y>0.3269</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26682</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>0.2237</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26534</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>0.2233</X>
<Y>0.3234</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26403</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>0.2228</X>
<Y>0.3216</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26287</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>0.2224</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26182</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>0.2218</X>
<Y>0.3182</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26082</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>0.2213</X>
<Y>0.3164</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25982</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>0.2207</X>
<Y>0.3147</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25878</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>0.2201</X>
<Y>0.3130</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25768</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>0.2195</X>
<Y>0.3113</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25652</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>0.2188</X>
<Y>0.3096</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25529</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>0.2182</X>
<Y>0.3079</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25402</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>0.2174</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25269</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>0.2167</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25136</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>0.2159</X>
<Y>0.3029</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25006</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>0.2151</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24881</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>0.2143</X>
<Y>0.2996</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24761</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>0.2134</X>
<Y>0.2979</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24648</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>0.2125</X>
<Y>0.2963</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24537</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>0.2116</X>
<Y>0.2947</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24427</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>0.2107</X>
<Y>0.2931</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24312</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>0.2097</X>
<Y>0.2915</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24187</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>0.2087</X>
<Y>0.2899</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24048</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>0.2077</X>
<Y>0.2884</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23890</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>0.2066</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23714</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>0.2055</X>
<Y>0.2853</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23523</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>0.2044</X>
<Y>0.2838</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23326</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>0.2033</X>
<Y>0.2823</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23132</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>0.2021</X>
<Y>0.2808</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22950</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>0.2010</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22784</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>0.1997</X>
<Y>0.2779</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22637</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>0.1985</X>
<Y>0.2765</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22503</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>0.1973</X>
<Y>0.2751</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22377</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>0.1960</X>
<Y>0.2737</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22255</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>0.1947</X>
<Y>0.2723</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22132</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>0.1934</X>
<Y>0.2709</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22006</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>0.1920</X>
<Y>0.2696</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21876</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>0.1906</X>
<Y>0.2682</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21741</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>0.1892</X>
<Y>0.2669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21603</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>0.1878</X>
<Y>0.2657</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21463</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>0.1864</X>
<Y>0.2644</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21325</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>0.1849</X>
<Y>0.2631</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21191</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>0.1834</X>
<Y>0.2619</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21062</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>0.1819</X>
<Y>0.2607</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20940</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>0.1804</X>
<Y>0.2595</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20825</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>0.1789</X>
<Y>0.2584</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20715</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>0.1773</X>
<Y>0.2573</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20609</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>0.1758</X>
<Y>0.2561</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20502</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>0.1742</X>
<Y>0.2550</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20388</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>0.1725</X>
<Y>0.2540</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20263</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>0.1709</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20124</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>0.1693</X>
<Y>0.2519</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19969</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>0.1676</X>
<Y>0.2509</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19801</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>0.1659</X>
<Y>0.2499</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19625</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>0.1642</X>
<Y>0.2490</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19448</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>0.1625</X>
<Y>0.2481</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19278</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>0.1608</X>
<Y>0.2472</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19122</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>0.1590</X>
<Y>0.2463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18983</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>0.1573</X>
<Y>0.2454</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18859</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>0.1555</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18747</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>0.1537</X>
<Y>0.2438</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18640</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>0.1519</X>
<Y>0.2431</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18534</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>0.1501</X>
<Y>0.2423</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18426</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>0.1483</X>
<Y>0.2416</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18315</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>0.1465</X>
<Y>0.2409</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18201</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>0.1447</X>
<Y>0.2402</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18085</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>0.1428</X>
<Y>0.2396</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17967</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>0.1409</X>
<Y>0.2390</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17850</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>0.1391</X>
<Y>0.2384</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17737</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>0.1372</X>
<Y>0.2378</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17629</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>0.1353</X>
<Y>0.2373</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17528</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>0.1334</X>
<Y>0.2368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17434</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>0.1315</X>
<Y>0.2363</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17346</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>0.1296</X>
<Y>0.2359</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17262</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>0.1277</X>
<Y>0.2355</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17178</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>0.1258</X>
<Y>0.2351</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17090</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>0.1238</X>
<Y>0.2347</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16992</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>0.1219</X>
<Y>0.2344</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16881</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>0.1200</X>
<Y>0.2341</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16756</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>0.1180</X>
<Y>0.2338</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16619</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>0.1161</X>
<Y>0.2336</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16474</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>0.1142</X>
<Y>0.2334</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16327</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>0.1122</X>
<Y>0.2332</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16184</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>0.1103</X>
<Y>0.2330</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16051</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>0.1083</X>
<Y>0.2329</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15931</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>0.1064</X>
<Y>0.2328</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15824</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>0.1044</X>
<Y>0.2327</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15727</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>0.1025</X>
<Y>0.2327</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15635</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>0.1005</X>
<Y>0.2326</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15543</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>0.0986</X>
<Y>0.2327</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15447</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>0.0966</X>
<Y>0.2327</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15345</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>0.0947</X>
<Y>0.2328</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15238</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>0.0927</X>
<Y>0.2329</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15125</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>0.0908</X>
<Y>0.2330</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15009</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>0.0889</X>
<Y>0.2332</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14893</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>0.0869</X>
<Y>0.2334</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14778</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>0.0850</X>
<Y>0.2336</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14668</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>0.0831</X>
<Y>0.2338</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14564</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>0.0812</X>
<Y>0.2341</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14467</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>0.0793</X>
<Y>0.2344</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14377</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>0.0774</X>
<Y>0.2347</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14293</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>0.0755</X>
<Y>0.2351</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14210</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>0.0736</X>
<Y>0.2355</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14124</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>0.0717</X>
<Y>0.2359</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14030</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>0.0699</X>
<Y>0.2364</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13923</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>0.0680</X>
<Y>0.2368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13802</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>0.0662</X>
<Y>0.2373</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13666</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>0.0643</X>
<Y>0.2379</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13521</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>0.0625</X>
<Y>0.2384</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13372</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>0.0607</X>
<Y>0.2390</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13227</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>0.0589</X>
<Y>0.2396</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13089</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>0.0571</X>
<Y>0.2403</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12963</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>0.0553</X>
<Y>0.2409</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12847</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>0.0536</X>
<Y>0.2416</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12741</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>0.0518</X>
<Y>0.2424</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12640</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>0.0501</X>
<Y>0.2431</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12539</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>0.0484</X>
<Y>0.2439</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12435</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>0.0467</X>
<Y>0.2447</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12327</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>0.0450</X>
<Y>0.2455</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12213</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>0.0433</X>
<Y>0.2464</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12098</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>0.0417</X>
<Y>0.2472</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11981</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>0.0400</X>
<Y>0.2482</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11866</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>0.0384</X>
<Y>0.2491</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11753</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>0.0368</X>
<Y>0.2500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11646</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>0.0352</X>
<Y>0.2510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11551</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>0.0337</X>
<Y>0.2520</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11464</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>0.0321</X>
<Y>0.2530</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11382</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>0.0306</X>
<Y>0.2541</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11306</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>0.0291</X>
<Y>0.2552</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11233</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>0.0276</X>
<Y>0.2563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11161</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>0.0261</X>
<Y>0.2574</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11081</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>0.0247</X>
<Y>0.2585</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10982</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>0.0232</X>
<Y>0.2597</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10859</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>0.0218</X>
<Y>0.2609</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10717</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>0.0205</X>
<Y>0.2621</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10563</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>0.0191</X>
<Y>0.2633</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10407</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>0.0178</X>
<Y>0.2646</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10254</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>0.0165</X>
<Y>0.2659</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10107</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>0.0152</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09974</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>0.0139</X>
<Y>0.2685</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09856</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>0.0127</X>
<Y>0.2698</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09756</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>0.0114</X>
<Y>0.2711</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09668</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>0.0103</X>
<Y>0.2725</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09580</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>0.0091</X>
<Y>0.2739</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09489</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>0.0080</X>
<Y>0.2753</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09391</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>0.0068</X>
<Y>0.2767</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09291</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>0.0058</X>
<Y>0.2782</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09182</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>0.0047</X>
<Y>0.2796</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09068</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>0.0037</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08951</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>0.0026</X>
<Y>0.2826</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08824</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>0.0017</X>
<Y>0.2841</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08705</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>0.0007</X>
<Y>0.2857</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08589</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>-0.0002</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08477</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>-0.0011</X>
<Y>0.2887</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08370</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>-0.0020</X>
<Y>0.2903</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08263</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>-0.0028</X>
<Y>0.2919</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08164</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>-0.0036</X>
<Y>0.2935</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08073</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>-0.0044</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07974</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>-0.0052</X>
<Y>0.2967</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07857</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>-0.0059</X>
<Y>0.2984</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07723</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>-0.0066</X>
<Y>0.3000</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07568</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>-0.0073</X>
<Y>0.3017</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07396</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>-0.0079</X>
<Y>0.3034</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07209</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>-0.0085</X>
<Y>0.3050</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07020</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>-0.0091</X>
<Y>0.3067</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06834</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>-0.0096</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06652</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>-0.0101</X>
<Y>0.3101</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06492</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>-0.0106</X>
<Y>0.3119</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06352</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>-0.0111</X>
<Y>0.3136</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06227</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>-0.0115</X>
<Y>0.3153</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06105</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>-0.0119</X>
<Y>0.3171</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05989</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>-0.0123</X>
<Y>0.3188</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05863</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>-0.0126</X>
<Y>0.3206</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05731</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>-0.0129</X>
<Y>0.3223</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05593</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>-0.0132</X>
<Y>0.3241</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05449</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>-0.0134</X>
<Y>0.3259</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05299</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>-0.0136</X>
<Y>0.3276</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05152</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>-0.0138</X>
<Y>0.3294</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05016</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>-0.0139</X>
<Y>0.3312</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04882</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>-0.0140</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04752</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>-0.0141</X>
<Y>0.3348</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04624</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>-0.0142</X>
<Y>0.3366</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04511</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>-0.0142</X>
<Y>0.3384</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04403</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>-0.0142</X>
<Y>0.3402</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04295</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>-0.0141</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04186</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>-0.0141</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04074</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>-0.0139</X>
<Y>0.3456</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03943</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>-0.0138</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03797</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>-0.0136</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03630</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>-0.0134</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03452</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>-0.0132</X>
<Y>0.3527</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03265</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>-0.0129</X>
<Y>0.3545</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03083</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>-0.0126</X>
<Y>0.3563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02902</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>-0.0123</X>
<Y>0.3581</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02734</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>-0.0120</X>
<Y>0.3599</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02589</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>-0.0116</X>
<Y>0.3617</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02447</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>-0.0112</X>
<Y>0.3634</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02314</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>-0.0107</X>
<Y>0.3652</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02186</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>-0.0102</X>
<Y>0.3670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02054</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>-0.0097</X>
<Y>0.3687</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01913</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>-0.0092</X>
<Y>0.3705</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01764</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>-0.0086</X>
<Y>0.3722</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01618</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>-0.0080</X>
<Y>0.3739</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01476</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>-0.0074</X>
<Y>0.3757</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01338</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>-0.0067</X>
<Y>0.3774</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01208</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>-0.0061</X>
<Y>0.3791</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01086</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>-0.0053</X>
<Y>0.3808</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00967</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>-0.0046</X>
<Y>0.3825</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00853</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>-0.0038</X>
<Y>0.3842</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00741</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>-0.0030</X>
<Y>0.3858</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00634</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>-0.0022</X>
<Y>0.3875</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00532</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>-0.0013</X>
<Y>0.3891</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00430</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>-0.0005</X>
<Y>0.3908</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00320</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>0.0004</X>
<Y>0.3924</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00204</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>0.0014</X>
<Y>0.3940</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00067</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>0.0024</X>
<Y>0.3956</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00086</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>0.0033</X>
<Y>0.3972</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00254</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>0.0044</X>
<Y>0.3988</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00429</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>0.0054</X>
<Y>0.4003</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00605</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>0.0065</X>
<Y>0.4019</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00768</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>0.0076</X>
<Y>0.4034</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00918</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>0.0087</X>
<Y>0.4049</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01050</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>0.0098</X>
<Y>0.4064</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01163</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>0.0110</X>
<Y>0.4079</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01261</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>0.0122</X>
<Y>0.4093</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01354</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>0.0134</X>
<Y>0.4108</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01455</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>0.0147</X>
<Y>0.4122</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01564</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>0.0159</X>
<Y>0.4136</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01675</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>0.0172</X>
<Y>0.4150</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01795</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>0.0185</X>
<Y>0.4164</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01913</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>0.0199</X>
<Y>0.4177</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02036</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>0.0212</X>
<Y>0.4191</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02155</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>0.0226</X>
<Y>0.4204</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02262</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>0.0240</X>
<Y>0.4217</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02358</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>0.0254</X>
<Y>0.4229</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02442</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>0.0269</X>
<Y>0.4242</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02516</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>0.0283</X>
<Y>0.4254</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02576</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>0.0298</X>
<Y>0.4266</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02627</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>0.0313</X>
<Y>0.4278</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02679</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>0.0328</X>
<Y>0.4290</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02732</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>0.0344</X>
<Y>0.4301</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02793</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>0.0359</X>
<Y>0.4313</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02860</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>0.0375</X>
<Y>0.4324</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02945</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>0.0391</X>
<Y>0.4334</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03048</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>0.0407</X>
<Y>0.4345</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03165</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>0.0423</X>
<Y>0.4355</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03293</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>0.0439</X>
<Y>0.4365</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03421</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>0.0456</X>
<Y>0.4375</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03546</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>0.0472</X>
<Y>0.4385</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03662</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>0.0489</X>
<Y>0.4394</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03764</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>0.0506</X>
<Y>0.4403</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03852</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>0.0523</X>
<Y>0.4412</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03925</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>0.0541</X>
<Y>0.4421</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03996</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>0.0558</X>
<Y>0.4429</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04069</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>0.0575</X>
<Y>0.4437</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04144</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>0.0593</X>
<Y>0.4445</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04225</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>0.0611</X>
<Y>0.4453</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04304</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>0.0628</X>
<Y>0.4460</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04385</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>0.0646</X>
<Y>0.4467</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04464</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>0.0664</X>
<Y>0.4474</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04538</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>0.0683</X>
<Y>0.4481</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04608</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>0.0701</X>
<Y>0.4487</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04670</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>0.0719</X>
<Y>0.4493</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04721</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>0.0737</X>
<Y>0.4499</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04766</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>0.0756</X>
<Y>0.4504</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04804</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>0.0774</X>
<Y>0.4509</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04844</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>0.0793</X>
<Y>0.4514</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04883</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>0.0811</X>
<Y>0.4519</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04925</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>0.0830</X>
<Y>0.4523</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04974</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>
