<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers">
<version>
<product>BulletinA</product>
<date>2015-07-30</date>
<volume>XXVIII</volume>
<number>031</number>
</version>
<metaFileName/>
<headerLine>
<headerLineDate>
<sYear>Year</sYear>
<sMonth>Month</sMonth>
<sDay>Day</sDay>
<sTime>Time</sTime>
<sMJD>MJD</sMJD>
</headerLineDate>
<headerLineEOP>
<product source="BulletinA">
<sX>X</sX>
<ssigma_X>sigma_X</ssigma_X>
<sY>Y</sY>
<ssigma_Y>sigma_Y</ssigma_Y>
<sUT1-UTC>UT1-UTC</sUT1-UTC>
<ssigma_UT1-UTC>sigma_UT1-UTC</ssigma_UT1-UTC>
<sdPsi>dPsi</sdPsi>
<ssigma_dPsi>sigma_dPsi</ssigma_dPsi>
<sdEpsilon>dEpsilon</sdEpsilon>
<ssigma_dEpsilon>sigma_dEpsilon</ssigma_dEpsilon>
<sdX>dX</sdX>
<ssigma_dX>sigma_dX</ssigma_dX>
<sdY>dY</sdY>
<ssigma_dY>sigma_dY</ssigma_dY>
</product>
</headerLineEOP>
<headerLineUnits>
<product source="BulletinA">
<X>arcsec</X>
<sigma_X>arcsec</sigma_X>
<Y>arcsec</Y>
<sigma_Y>arcsec</sigma_Y>
<UT1-UTC>sec</UT1-UTC>
<sigma_UT1-UTC>sec</sigma_UT1-UTC>
<dPsi>marcsec</dPsi>
<sigma_dPsi>marcsec</sigma_dPsi>
<dEpsilon>marcsec</dEpsilon>
<sigma_dEpsilon>marcsec</sigma_dEpsilon>
<dX>marcsec</dX>
<sigma_dX>marcsec</sigma_dX>
<dY>marcsec</dY>
<sigma_dY>marcsec</sigma_dY>
</product>
</headerLineUnits>
</headerLine>
<data product="BulletinA" source="BulletinA">
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>57211</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-93.51</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.10</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.181</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.165</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57212</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-93.34</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.21</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.167</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.155</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57213</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-93.26</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.25</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.155</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.150</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57214</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-93.52</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.27</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.144</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.138</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57215</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-94.08</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.34</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.133</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.120</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>57216</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-94.63</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.47</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.122</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.113</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>57217</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-94.87</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.60</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.116</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.124</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>57227</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18312</X>
<sigma_X>.00009</sigma_X>
<Y>0.42876</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.305747</UT1-UTC>
<sigma_UT1-UTC>0.000013</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>57228</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18449</X>
<sigma_X>.00009</sigma_X>
<Y>0.42784</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.305295</UT1-UTC>
<sigma_UT1-UTC>0.000011</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>57229</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18588</X>
<sigma_X>.00009</sigma_X>
<Y>0.42673</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.304876</UT1-UTC>
<sigma_UT1-UTC>0.000011</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>57230</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18737</X>
<sigma_X>.00009</sigma_X>
<Y>0.42540</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.304472</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>57231</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18921</X>
<sigma_X>.00009</sigma_X>
<Y>0.42409</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.304101</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57232</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.19112</X>
<sigma_X>.00009</sigma_X>
<Y>0.42288</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.303735</UT1-UTC>
<sigma_UT1-UTC>0.000065</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>57233</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.19301</X>
<sigma_X>.00009</sigma_X>
<Y>0.42162</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.303249</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_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>0.1947</X>
<Y>0.4205</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30260</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>0.1963</X>
<Y>0.4193</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30177</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>0.1978</X>
<Y>0.4181</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30074</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>0.1991</X>
<Y>0.4168</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29956</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>0.2004</X>
<Y>0.4155</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29829</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>0.2016</X>
<Y>0.4142</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29703</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>0.2028</X>
<Y>0.4128</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29584</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>0.2040</X>
<Y>0.4115</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29480</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>0.2052</X>
<Y>0.4102</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29391</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>0.2063</X>
<Y>0.4088</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29317</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>0.2074</X>
<Y>0.4074</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29254</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>0.2085</X>
<Y>0.4061</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29198</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>0.2095</X>
<Y>0.4046</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29145</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>0.2104</X>
<Y>0.4032</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29092</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>0.2114</X>
<Y>0.4017</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29034</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>0.2123</X>
<Y>0.4002</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28970</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>0.2132</X>
<Y>0.3987</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28900</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>0.2140</X>
<Y>0.3972</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28825</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>0.2149</X>
<Y>0.3957</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28745</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>0.2157</X>
<Y>0.3941</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28662</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>0.2164</X>
<Y>0.3925</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28578</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>0.2172</X>
<Y>0.3909</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28492</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>0.2179</X>
<Y>0.3893</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28408</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>0.2186</X>
<Y>0.3877</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28324</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>0.2192</X>
<Y>0.3861</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28241</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>0.2199</X>
<Y>0.3845</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28157</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>0.2205</X>
<Y>0.3828</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28066</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>0.2210</X>
<Y>0.3811</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27965</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>0.2216</X>
<Y>0.3795</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27846</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>0.2221</X>
<Y>0.3778</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27708</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>0.2226</X>
<Y>0.3761</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27551</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>0.2230</X>
<Y>0.3744</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27384</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>0.2234</X>
<Y>0.3727</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27214</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>0.2238</X>
<Y>0.3710</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27053</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>0.2242</X>
<Y>0.3692</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26909</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>0.2245</X>
<Y>0.3675</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26784</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>0.2248</X>
<Y>0.3658</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26678</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>0.2251</X>
<Y>0.3640</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26584</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>0.2253</X>
<Y>0.3623</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26499</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>0.2255</X>
<Y>0.3605</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26416</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>0.2257</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26332</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>0.2258</X>
<Y>0.3570</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26243</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>0.2260</X>
<Y>0.3553</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26147</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>0.2260</X>
<Y>0.3535</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26044</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>0.2261</X>
<Y>0.3517</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25936</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>0.3500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25823</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>0.2261</X>
<Y>0.3482</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25707</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>0.2260</X>
<Y>0.3464</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25591</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>0.2260</X>
<Y>0.3446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25476</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>57283</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2259</X>
<Y>0.3429</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25365</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>57284</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2257</X>
<Y>0.3411</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25258</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>0.2256</X>
<Y>0.3393</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25154</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>0.2254</X>
<Y>0.3375</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25051</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>0.2251</X>
<Y>0.3358</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24945</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>0.2249</X>
<Y>0.3340</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24832</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>0.2246</X>
<Y>0.3322</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24706</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>0.2242</X>
<Y>0.3305</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24562</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>0.2239</X>
<Y>0.3287</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24397</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>0.2235</X>
<Y>0.3270</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24215</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>0.2231</X>
<Y>0.3252</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24023</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>0.2226</X>
<Y>0.3235</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23830</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>0.2221</X>
<Y>0.3217</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23648</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>0.2216</X>
<Y>0.3200</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23483</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>0.2211</X>
<Y>0.3183</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23337</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>0.2205</X>
<Y>0.3166</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23207</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>0.2199</X>
<Y>0.3148</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23087</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>0.2193</X>
<Y>0.3131</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22973</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>0.2186</X>
<Y>0.3114</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22858</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>0.2179</X>
<Y>0.3098</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22741</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>0.2172</X>
<Y>0.3081</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22620</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>0.2164</X>
<Y>0.3064</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22493</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>0.2157</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22361</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>0.2148</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22226</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>0.2140</X>
<Y>0.3015</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22089</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>0.2131</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21952</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>0.2122</X>
<Y>0.2982</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21817</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>0.2113</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21687</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>0.2104</X>
<Y>0.2950</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21563</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>0.2094</X>
<Y>0.2935</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21444</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>0.2084</X>
<Y>0.2919</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21328</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>0.2073</X>
<Y>0.2903</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21212</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>0.2063</X>
<Y>0.2888</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21091</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>0.2052</X>
<Y>0.2873</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20960</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>0.2041</X>
<Y>0.2858</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20814</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>0.2029</X>
<Y>0.2843</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20651</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>0.2018</X>
<Y>0.2828</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20470</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>0.2006</X>
<Y>0.2814</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20275</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>0.1994</X>
<Y>0.2799</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20074</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>0.1981</X>
<Y>0.2785</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19877</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>0.1969</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19693</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>0.1956</X>
<Y>0.2757</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19526</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>0.1942</X>
<Y>0.2743</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19376</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>0.1929</X>
<Y>0.2730</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19241</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>0.1915</X>
<Y>0.2717</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19115</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>0.1902</X>
<Y>0.2703</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18992</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>0.1888</X>
<Y>0.2690</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18867</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>0.1873</X>
<Y>0.2678</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18740</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>0.1859</X>
<Y>0.2665</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18608</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>0.1844</X>
<Y>0.2653</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18471</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>0.1829</X>
<Y>0.2641</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18330</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>0.1814</X>
<Y>0.2629</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18188</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>0.1799</X>
<Y>0.2617</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18047</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>0.1783</X>
<Y>0.2606</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17909</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>0.1767</X>
<Y>0.2595</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17777</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>0.1752</X>
<Y>0.2583</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17652</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>0.1735</X>
<Y>0.2573</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17534</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>0.1719</X>
<Y>0.2562</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17422</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>0.1703</X>
<Y>0.2552</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17312</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>0.1686</X>
<Y>0.2542</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17191</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>0.1669</X>
<Y>0.2532</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17063</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>0.1652</X>
<Y>0.2522</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16924</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>0.1635</X>
<Y>0.2513</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16771</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>0.1618</X>
<Y>0.2504</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16603</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>0.1601</X>
<Y>0.2495</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16421</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>0.1583</X>
<Y>0.2486</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16231</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>0.1565</X>
<Y>0.2478</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16040</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>0.1547</X>
<Y>0.2470</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15856</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>0.1530</X>
<Y>0.2462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15687</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>0.1511</X>
<Y>0.2455</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15533</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>0.1493</X>
<Y>0.2447</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15395</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>0.1475</X>
<Y>0.2440</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15268</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>0.1456</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15147</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>0.1438</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15026</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>0.1419</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14904</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>0.1401</X>
<Y>0.2415</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14779</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>0.1382</X>
<Y>0.2409</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14650</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>0.1363</X>
<Y>0.2404</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14519</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>0.1344</X>
<Y>0.2399</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14387</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>0.1325</X>
<Y>0.2394</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14256</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>0.1306</X>
<Y>0.2389</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14129</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>0.1286</X>
<Y>0.2385</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14007</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>0.1267</X>
<Y>0.2381</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13892</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>0.1248</X>
<Y>0.2377</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13784</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>0.1228</X>
<Y>0.2374</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13683</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>0.1209</X>
<Y>0.2371</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13586</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>0.1190</X>
<Y>0.2368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13489</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>0.1170</X>
<Y>0.2365</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13389</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>0.1151</X>
<Y>0.2363</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13279</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>0.1131</X>
<Y>0.2361</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13157</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>0.1112</X>
<Y>0.2359</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13022</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>0.1092</X>
<Y>0.2358</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12874</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>0.1072</X>
<Y>0.2357</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12719</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>0.1053</X>
<Y>0.2356</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12562</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>0.1033</X>
<Y>0.2356</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12410</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>0.1014</X>
<Y>0.2355</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12269</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>0.0994</X>
<Y>0.2355</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12142</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>0.0975</X>
<Y>0.2356</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12029</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>0.0955</X>
<Y>0.2356</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11927</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>0.0936</X>
<Y>0.2357</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11831</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>0.0916</X>
<Y>0.2358</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11737</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>0.0897</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11641</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>0.0877</X>
<Y>0.2362</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11541</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>0.0858</X>
<Y>0.2364</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11436</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>0.0839</X>
<Y>0.2366</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11328</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>0.0820</X>
<Y>0.2369</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11219</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>0.0800</X>
<Y>0.2372</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11109</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>0.0781</X>
<Y>0.2375</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11002</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>0.0762</X>
<Y>0.2378</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10900</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>0.0743</X>
<Y>0.2382</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10804</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>0.0725</X>
<Y>0.2386</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10713</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>0.0706</X>
<Y>0.2391</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10629</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>0.0687</X>
<Y>0.2395</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10548</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>0.0669</X>
<Y>0.2400</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10467</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>0.0650</X>
<Y>0.2406</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10383</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>0.0632</X>
<Y>0.2411</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10288</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>0.0614</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10181</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>0.0596</X>
<Y>0.2423</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10058</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>0.0578</X>
<Y>0.2429</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09921</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>0.0560</X>
<Y>0.2436</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09776</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>0.0542</X>
<Y>0.2443</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09628</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>0.0525</X>
<Y>0.2450</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09485</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>0.0507</X>
<Y>0.2457</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09352</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>0.0490</X>
<Y>0.2465</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09232</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>0.0473</X>
<Y>0.2473</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09126</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>0.0456</X>
<Y>0.2481</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09030</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>0.0439</X>
<Y>0.2489</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08940</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>0.0422</X>
<Y>0.2498</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08852</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>0.0406</X>
<Y>0.2507</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08762</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>0.0390</X>
<Y>0.2516</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08665</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>0.0374</X>
<Y>0.2526</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08563</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>0.0358</X>
<Y>0.2535</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08456</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>0.0342</X>
<Y>0.2545</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08346</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>0.0326</X>
<Y>0.2555</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08234</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>0.0311</X>
<Y>0.2566</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08124</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>0.0296</X>
<Y>0.2576</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08018</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>0.0281</X>
<Y>0.2587</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07917</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>0.0266</X>
<Y>0.2598</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07823</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>0.0252</X>
<Y>0.2610</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07735</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>0.0237</X>
<Y>0.2621</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07651</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>0.0223</X>
<Y>0.2633</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07568</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>0.0209</X>
<Y>0.2645</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07482</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>0.0196</X>
<Y>0.2657</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07387</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>0.0182</X>
<Y>0.2670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07278</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>0.0169</X>
<Y>0.2682</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07152</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>0.0156</X>
<Y>0.2695</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07007</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>0.0144</X>
<Y>0.2708</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06848</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>0.0131</X>
<Y>0.2721</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06681</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>0.0119</X>
<Y>0.2735</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06515</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>0.0107</X>
<Y>0.2748</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06355</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>0.0095</X>
<Y>0.2762</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06208</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>0.0084</X>
<Y>0.2776</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06073</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>0.0073</X>
<Y>0.2790</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05950</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>0.0062</X>
<Y>0.2805</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05836</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>0.0051</X>
<Y>0.2819</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05726</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>0.0041</X>
<Y>0.2834</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05615</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>0.0031</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05499</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>0.0021</X>
<Y>0.2864</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05374</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>0.0011</X>
<Y>0.2879</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05241</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>0.0002</X>
<Y>0.2894</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05099</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>-0.0007</X>
<Y>0.2910</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04952</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>-0.0015</X>
<Y>0.2925</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04801</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>-0.0024</X>
<Y>0.2941</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04651</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>-0.0032</X>
<Y>0.2957</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04506</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>-0.0040</X>
<Y>0.2973</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04368</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>-0.0047</X>
<Y>0.2989</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04237</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>-0.0055</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04113</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>-0.0061</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03992</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>-0.0068</X>
<Y>0.3038</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03869</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>-0.0074</X>
<Y>0.3055</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03744</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>-0.0080</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03612</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>-0.0086</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03468</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>-0.0092</X>
<Y>0.3105</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03302</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>-0.0097</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03118</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>-0.0102</X>
<Y>0.3139</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02917</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>-0.0106</X>
<Y>0.3156</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02709</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>-0.0110</X>
<Y>0.3173</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02511</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>-0.0114</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02330</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>-0.0118</X>
<Y>0.3208</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02166</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>-0.0121</X>
<Y>0.3225</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02015</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>-0.0124</X>
<Y>0.3243</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01868</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>-0.0127</X>
<Y>0.3260</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01729</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>-0.0129</X>
<Y>0.3278</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01595</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>-0.0131</X>
<Y>0.3296</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01456</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>-0.0133</X>
<Y>0.3313</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01317</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>-0.0134</X>
<Y>0.3331</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01169</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>-0.0135</X>
<Y>0.3349</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01016</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>-0.0136</X>
<Y>0.3367</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00862</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>0.3384</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00702</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>-0.0136</X>
<Y>0.3402</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00539</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>-0.0136</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00377</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>-0.0136</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00219</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>-0.0135</X>
<Y>0.3456</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00065</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>-0.0134</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00077</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>-0.0132</X>
<Y>0.3491</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00212</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>-0.0130</X>
<Y>0.3509</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00350</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>-0.0128</X>
<Y>0.3527</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00498</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>-0.0126</X>
<Y>0.3545</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00654</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>-0.0123</X>
<Y>0.3563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00820</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>-0.0120</X>
<Y>0.3580</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01006</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>-0.0117</X>
<Y>0.3598</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01208</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>-0.0113</X>
<Y>0.3616</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01420</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>-0.0109</X>
<Y>0.3633</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01636</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>-0.0105</X>
<Y>0.3651</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01852</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>-0.0100</X>
<Y>0.3668</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02054</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>-0.0095</X>
<Y>0.3686</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02235</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>-0.0090</X>
<Y>0.3703</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02390</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>-0.0084</X>
<Y>0.3720</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02527</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>-0.0079</X>
<Y>0.3738</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57492</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0073</X>
<Y>0.3755</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02777</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57493</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0066</X>
<Y>0.3772</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02896</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>-0.0060</X>
<Y>0.3789</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03012</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>-0.0053</X>
<Y>0.3806</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03132</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>-0.0045</X>
<Y>0.3823</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03260</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>-0.0038</X>
<Y>0.3839</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03396</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>-0.0030</X>
<Y>0.3856</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03532</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>-0.0022</X>
<Y>0.3872</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03666</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>-0.0013</X>
<Y>0.3889</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03791</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>-0.0005</X>
<Y>0.3905</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03907</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>0.0004</X>
<Y>0.3921</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04019</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>0.0014</X>
<Y>0.3937</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04124</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>0.0023</X>
<Y>0.3953</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04220</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>0.0033</X>
<Y>0.3969</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04307</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>0.0043</X>
<Y>0.3985</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04389</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>0.0053</X>
<Y>0.4000</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04479</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>0.0064</X>
<Y>0.4015</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04579</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>0.0075</X>
<Y>0.4031</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04695</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>0.0086</X>
<Y>0.4046</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04823</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>0.0097</X>
<Y>0.4060</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04969</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>0.0109</X>
<Y>0.4075</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05125</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>0.0121</X>
<Y>0.4090</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05286</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>0.0133</X>
<Y>0.4104</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05449</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>0.0145</X>
<Y>0.4118</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05593</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>0.0158</X>
<Y>0.4132</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05720</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>0.0170</X>
<Y>0.4146</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05831</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>0.0183</X>
<Y>0.4160</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05929</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>0.0197</X>
<Y>0.4173</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06024</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>0.0210</X>
<Y>0.4187</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06111</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>0.0224</X>
<Y>0.4200</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06188</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>0.0238</X>
<Y>0.4213</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06268</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>0.0252</X>
<Y>0.4226</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06355</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>0.0266</X>
<Y>0.4238</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06444</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>0.0281</X>
<Y>0.4250</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06531</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>0.0295</X>
<Y>0.4262</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06615</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>0.0310</X>
<Y>0.4274</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06696</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>0.0325</X>
<Y>0.4286</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06770</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>0.0341</X>
<Y>0.4297</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06839</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>0.0356</X>
<Y>0.4309</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06910</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>0.0372</X>
<Y>0.4320</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06966</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>0.0388</X>
<Y>0.4330</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07012</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>0.0404</X>
<Y>0.4341</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07053</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>0.0420</X>
<Y>0.4351</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07097</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>0.0436</X>
<Y>0.4361</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07143</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>0.0453</X>
<Y>0.4371</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07208</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>0.0469</X>
<Y>0.4381</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07286</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>0.0486</X>
<Y>0.4390</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07377</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>0.0503</X>
<Y>0.4399</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07481</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>0.0520</X>
<Y>0.4408</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07595</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>0.0537</X>
<Y>0.4417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07702</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>0.0554</X>
<Y>0.4425</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07792</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>0.0572</X>
<Y>0.4433</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07869</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>0.0589</X>
<Y>0.4441</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07931</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>0.0607</X>
<Y>0.4449</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07984</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>0.0625</X>
<Y>0.4456</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08019</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>0.0643</X>
<Y>0.4463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08050</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>0.0661</X>
<Y>0.4470</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08083</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>0.0679</X>
<Y>0.4477</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08115</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>0.0697</X>
<Y>0.4483</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08144</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>0.0715</X>
<Y>0.4489</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08178</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>0.0733</X>
<Y>0.4495</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08209</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>0.0752</X>
<Y>0.4500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08238</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>0.0770</X>
<Y>0.4505</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08258</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>0.0789</X>
<Y>0.4510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08271</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>0.0807</X>
<Y>0.4515</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08273</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>0.0826</X>
<Y>0.4519</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08275</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>0.0845</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08275</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>0.0864</X>
<Y>0.4527</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08262</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>0.0882</X>
<Y>0.4531</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08260</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>0.0901</X>
<Y>0.4534</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08259</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>0.0920</X>
<Y>0.4537</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08263</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>0.0939</X>
<Y>0.4540</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08283</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>57564</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0958</X>
<Y>0.4543</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>57565</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0977</X>
<Y>0.4545</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08378</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>57566</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0996</X>
<Y>0.4547</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08437</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>57567</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1014</X>
<Y>0.4548</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08498</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>57568</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1033</X>
<Y>0.4550</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08555</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>57569</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1052</X>
<Y>0.4551</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08602</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>57570</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1071</X>
<Y>0.4551</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08633</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57571</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1090</X>
<Y>0.4552</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08654</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>57572</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1109</X>
<Y>0.4552</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08666</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>57573</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1128</X>
<Y>0.4552</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08675</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>57574</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1147</X>
<Y>0.4552</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08683</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>57575</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1165</X>
<Y>0.4551</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08691</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>57576</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1184</X>
<Y>0.4550</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08703</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>57577</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1203</X>
<Y>0.4549</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08723</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57578</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1221</X>
<Y>0.4548</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57579</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1240</X>
<Y>0.4546</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08769</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57580</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1258</X>
<Y>0.4544</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08794</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57581</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1277</X>
<Y>0.4542</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>57582</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1295</X>
<Y>0.4539</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>57583</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1314</X>
<Y>0.4536</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08827</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>57584</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1332</X>
<Y>0.4533</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08813</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>57585</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1350</X>
<Y>0.4530</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08794</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>57586</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1368</X>
<Y>0.4526</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08770</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>57587</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1386</X>
<Y>0.4522</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08741</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>57588</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1404</X>
<Y>0.4518</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08712</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57589</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1422</X>
<Y>0.4513</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57590</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1439</X>
<Y>0.4509</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08694</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>57591</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1457</X>
<Y>0.4504</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08717</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>57592</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1474</X>
<Y>0.4499</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08757</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>57593</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1492</X>
<Y>0.4493</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>57594</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1509</X>
<Y>0.4487</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>57595</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1526</X>
<Y>0.4481</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>57596</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1543</X>
<Y>0.4475</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09018</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>57597</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1559</X>
<Y>0.4468</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09069</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57598</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1576</X>
<Y>0.4462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09103</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>
