<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers">
<version>
<product>BulletinA</product>
<date>2014-07-17</date>
<volume>XXVII</volume>
<number>029</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>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>56820</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-82.87</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.61</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>0.201</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.238</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>56821</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-82.75</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.87</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>0.190</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.232</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>56822</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-82.73</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-14.12</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>0.166</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.247</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>56823</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-82.82</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-14.08</dEpsilon>
<sigma_dEpsilon>0.07</sigma_dEpsilon>
<dX>0.148</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.264</dY>
<sigma_dY>0.070</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>56824</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-83.08</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.78</dEpsilon>
<sigma_dEpsilon>0.07</sigma_dEpsilon>
<dX>0.137</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.289</dY>
<sigma_dY>0.070</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>56825</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-83.53</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.43</dEpsilon>
<sigma_dEpsilon>0.07</sigma_dEpsilon>
<dX>0.122</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.274</dY>
<sigma_dY>0.070</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>56826</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-84.05</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.26</dEpsilon>
<sigma_dEpsilon>0.07</sigma_dEpsilon>
<dX>0.098</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.241</dY>
<sigma_dY>0.070</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>56849</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18007</X>
<sigma_X>.00009</sigma_X>
<Y>0.40478</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.305968</UT1-UTC>
<sigma_UT1-UTC>0.000011</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>56850</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18111</X>
<sigma_X>.00009</sigma_X>
<Y>0.40373</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.306373</UT1-UTC>
<sigma_UT1-UTC>0.000007</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>56851</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18201</X>
<sigma_X>.00009</sigma_X>
<Y>0.40273</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.306920</UT1-UTC>
<sigma_UT1-UTC>0.000005</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>56852</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18268</X>
<sigma_X>.00009</sigma_X>
<Y>0.40174</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.307642</UT1-UTC>
<sigma_UT1-UTC>0.000003</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>56853</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18316</X>
<sigma_X>.00009</sigma_X>
<Y>0.40063</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.308501</UT1-UTC>
<sigma_UT1-UTC>0.000065</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>56854</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18361</X>
<sigma_X>.00009</sigma_X>
<Y>0.39929</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.309423</UT1-UTC>
<sigma_UT1-UTC>0.000065</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>56855</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.18409</X>
<sigma_X>.00009</sigma_X>
<Y>0.39786</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.310346</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>56856</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1847</X>
<Y>0.3964</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31118</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>56857</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1854</X>
<Y>0.3950</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31188</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>56858</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1862</X>
<Y>0.3936</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31243</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>56859</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1871</X>
<Y>0.3923</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31283</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>56860</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1879</X>
<Y>0.3911</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31307</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>56861</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1888</X>
<Y>0.3899</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31318</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>56862</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1896</X>
<Y>0.3887</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31320</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>56863</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1903</X>
<Y>0.3874</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31319</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>56864</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1911</X>
<Y>0.3861</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>56865</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1918</X>
<Y>0.3848</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31334</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>56866</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1926</X>
<Y>0.3834</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31357</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>56867</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1933</X>
<Y>0.3821</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31389</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>56868</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1941</X>
<Y>0.3808</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31430</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>56869</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1948</X>
<Y>0.3794</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31479</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>56870</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1955</X>
<Y>0.3781</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31533</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>56871</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1961</X>
<Y>0.3768</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31586</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>56872</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1968</X>
<Y>0.3754</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31636</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>56873</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1974</X>
<Y>0.3740</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31682</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>56874</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1980</X>
<Y>0.3726</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>56875</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1987</X>
<Y>0.3712</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31760</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>56876</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1993</X>
<Y>0.3698</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31797</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>56877</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1998</X>
<Y>0.3684</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31839</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>56878</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2004</X>
<Y>0.3670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31893</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>56879</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2009</X>
<Y>0.3655</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.31963</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>56880</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2014</X>
<Y>0.3641</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32054</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>56881</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2019</X>
<Y>0.3626</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32160</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>56882</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2023</X>
<Y>0.3612</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32275</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>56883</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2028</X>
<Y>0.3597</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32388</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>56884</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2032</X>
<Y>0.3582</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>56885</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2036</X>
<Y>0.3568</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>56886</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2039</X>
<Y>0.3553</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32643</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>56887</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2043</X>
<Y>0.3538</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32694</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>56888</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2046</X>
<Y>0.3523</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>56889</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2048</X>
<Y>0.3507</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32762</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>56890</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2051</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>56891</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2053</X>
<Y>0.3477</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32815</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>56892</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2055</X>
<Y>0.3462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32848</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>56893</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2057</X>
<Y>0.3446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32888</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>56894</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2058</X>
<Y>0.3431</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32938</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>56895</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2059</X>
<Y>0.3416</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.32997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>56896</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2060</X>
<Y>0.3400</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33065</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>56897</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2061</X>
<Y>0.3385</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33139</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>56898</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2061</X>
<Y>0.3369</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33215</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>56899</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2061</X>
<Y>0.3354</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33291</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>56900</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2061</X>
<Y>0.3338</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33364</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>56901</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2060</X>
<Y>0.3322</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33432</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>56902</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2059</X>
<Y>0.3307</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33497</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>56903</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2058</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33561</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>56904</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2057</X>
<Y>0.3276</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33628</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>56905</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2055</X>
<Y>0.3260</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33705</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>56906</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2053</X>
<Y>0.3245</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33797</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>56907</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2050</X>
<Y>0.3229</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.33909</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>56908</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2048</X>
<Y>0.3213</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.34039</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>56909</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2045</X>
<Y>0.3198</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.34184</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>56910</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2042</X>
<Y>0.3182</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.34335</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>56911</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2038</X>
<Y>0.3167</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.34480</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>56912</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2034</X>
<Y>0.3152</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.34611</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>56913</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2030</X>
<Y>0.3136</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.34725</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>56914</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2025</X>
<Y>0.3121</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.34821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>56915</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2021</X>
<Y>0.3106</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.34902</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>56916</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2016</X>
<Y>0.3090</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.34974</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>56917</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2010</X>
<Y>0.3075</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35041</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>56918</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2005</X>
<Y>0.3060</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35109</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>56919</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1999</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35181</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>56920</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1993</X>
<Y>0.3030</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35260</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>56921</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1986</X>
<Y>0.3015</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35348</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>56922</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1979</X>
<Y>0.3000</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35445</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>56923</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1972</X>
<Y>0.2986</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35549</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>56924</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1965</X>
<Y>0.2971</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35659</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>56925</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1957</X>
<Y>0.2957</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35772</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>56926</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1949</X>
<Y>0.2942</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35885</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>56927</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1941</X>
<Y>0.2928</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.35995</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>56928</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1932</X>
<Y>0.2914</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.36098</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>56929</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1923</X>
<Y>0.2900</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.36194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>56930</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1914</X>
<Y>0.2886</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.36287</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>56931</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1905</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.36380</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>56932</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1895</X>
<Y>0.2858</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.36478</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>56933</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1885</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.36588</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>56934</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1875</X>
<Y>0.2831</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.36714</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>56935</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1865</X>
<Y>0.2818</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.36859</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>56936</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1854</X>
<Y>0.2805</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.37020</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>56937</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1843</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.37193</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>56938</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1832</X>
<Y>0.2779</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.37366</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>56939</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1820</X>
<Y>0.2766</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.37532</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>56940</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1809</X>
<Y>0.2754</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.37684</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>56941</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1797</X>
<Y>0.2741</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.37818</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>56942</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1784</X>
<Y>0.2729</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.37937</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>56943</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1772</X>
<Y>0.2717</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.38044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>56944</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1759</X>
<Y>0.2705</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.38144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>56945</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1746</X>
<Y>0.2694</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.38242</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>56946</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1733</X>
<Y>0.2682</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.38341</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>56947</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1720</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.38445</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>56948</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1706</X>
<Y>0.2660</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.38556</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>56949</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1692</X>
<Y>0.2649</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.38675</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>56950</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1678</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.38802</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>56951</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1664</X>
<Y>0.2628</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.38934</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>56952</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1649</X>
<Y>0.2618</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.39071</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>56953</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1635</X>
<Y>0.2608</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.39208</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>56954</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1620</X>
<Y>0.2598</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.39343</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>56955</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1604</X>
<Y>0.2588</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.39472</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>56956</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1589</X>
<Y>0.2579</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.39596</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>56957</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1574</X>
<Y>0.2570</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.39713</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>56958</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1558</X>
<Y>0.2561</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.39828</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>56959</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1542</X>
<Y>0.2552</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.39945</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>56960</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1526</X>
<Y>0.2544</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.40069</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>56961</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1510</X>
<Y>0.2536</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.40205</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>56962</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1493</X>
<Y>0.2528</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.40355</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>56963</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1477</X>
<Y>0.2520</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.40520</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>56964</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1460</X>
<Y>0.2513</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.40702</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>56965</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1443</X>
<Y>0.2506</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.40887</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>56966</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1426</X>
<Y>0.2499</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.41069</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>56967</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1409</X>
<Y>0.2492</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.41239</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>56968</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1392</X>
<Y>0.2485</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.41394</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>56969</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1374</X>
<Y>0.2479</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.41532</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>56970</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1357</X>
<Y>0.2473</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.41656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>56971</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1339</X>
<Y>0.2468</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.41771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>56972</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1321</X>
<Y>0.2462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.41880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>56973</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1303</X>
<Y>0.2457</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.41989</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>56974</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1285</X>
<Y>0.2452</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.42101</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>56975</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1267</X>
<Y>0.2448</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.42218</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>56976</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1248</X>
<Y>0.2444</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.42342</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>56977</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1230</X>
<Y>0.2440</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.42473</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>56978</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1212</X>
<Y>0.2436</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.42609</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>56979</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1193</X>
<Y>0.2432</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.42749</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>56980</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1174</X>
<Y>0.2429</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.42889</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>56981</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1156</X>
<Y>0.2426</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.43028</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>56982</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1137</X>
<Y>0.2424</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.43161</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>56983</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1118</X>
<Y>0.2422</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.43289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>56984</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1099</X>
<Y>0.2420</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.43408</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>56985</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1080</X>
<Y>0.2418</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.43523</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>56986</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1061</X>
<Y>0.2416</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.43637</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>56987</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1042</X>
<Y>0.2415</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.43755</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>56988</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1023</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.43883</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>56989</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1004</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.44022</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>56990</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0985</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.44174</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>56991</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0965</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.44334</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>56992</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0946</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.44496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>56993</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0927</X>
<Y>0.2415</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.44656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>56994</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0908</X>
<Y>0.2416</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.44806</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>56995</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0889</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.44941</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>56996</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0869</X>
<Y>0.2418</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45062</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>56997</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0850</X>
<Y>0.2420</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45167</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>56998</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0831</X>
<Y>0.2422</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45262</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>56999</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0812</X>
<Y>0.2425</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45350</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>57000</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0793</X>
<Y>0.2428</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45436</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>57001</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0774</X>
<Y>0.2431</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45524</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57002</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0755</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45616</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57003</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0736</X>
<Y>0.2438</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45713</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57004</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0717</X>
<Y>0.2441</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45817</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57005</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0698</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.45926</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57006</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0679</X>
<Y>0.2450</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46039</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57007</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0660</X>
<Y>0.2455</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46153</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57008</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0641</X>
<Y>0.2460</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46267</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57009</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0623</X>
<Y>0.2466</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57010</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0604</X>
<Y>0.2471</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46482</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57011</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0586</X>
<Y>0.2477</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46580</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57012</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0568</X>
<Y>0.2483</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46674</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>57013</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0549</X>
<Y>0.2490</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46767</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>57014</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0531</X>
<Y>0.2497</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46863</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57015</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0513</X>
<Y>0.2504</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.46969</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57016</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0495</X>
<Y>0.2511</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.47087</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57017</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0478</X>
<Y>0.2519</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.47218</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57018</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0460</X>
<Y>0.2527</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.47359</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57019</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0442</X>
<Y>0.2535</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.47503</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57020</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0425</X>
<Y>0.2544</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.47644</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57021</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0408</X>
<Y>0.2553</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.47775</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57022</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0391</X>
<Y>0.2562</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.47892</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57023</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0374</X>
<Y>0.2571</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.47994</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>57024</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0357</X>
<Y>0.2581</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48082</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>57025</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0341</X>
<Y>0.2591</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48159</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>57026</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0324</X>
<Y>0.2601</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48229</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>57027</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0308</X>
<Y>0.2611</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48296</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>57028</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0292</X>
<Y>0.2622</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48365</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>57029</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0276</X>
<Y>0.2633</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48439</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>57030</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0260</X>
<Y>0.2644</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48518</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>57031</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0245</X>
<Y>0.2656</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48603</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>57032</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0230</X>
<Y>0.2667</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48695</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>57033</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0215</X>
<Y>0.2679</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48791</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>57034</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0200</X>
<Y>0.2691</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48890</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>57035</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0185</X>
<Y>0.2704</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.48988</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>57036</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0171</X>
<Y>0.2717</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49083</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>57037</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0157</X>
<Y>0.2729</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49174</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>57038</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0143</X>
<Y>0.2743</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49259</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>57039</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0129</X>
<Y>0.2756</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49339</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>57040</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0115</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49417</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57041</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0102</X>
<Y>0.2783</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>57042</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0089</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49583</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>57043</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0076</X>
<Y>0.2812</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49684</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>57044</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0064</X>
<Y>0.2826</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49800</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>57045</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0052</X>
<Y>0.2841</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.49930</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>57046</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0040</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50067</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>57047</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0028</X>
<Y>0.2871</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50205</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>57048</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0017</X>
<Y>0.2886</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50335</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>57049</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0005</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50452</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>57050</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0005</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>57051</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0016</X>
<Y>0.2933</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50642</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>57052</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0026</X>
<Y>0.2949</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50719</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>57053</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0036</X>
<Y>0.2965</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50789</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>57054</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0046</X>
<Y>0.2981</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50859</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>57055</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0055</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.50933</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>57056</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0065</X>
<Y>0.3015</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51015</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>57057</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0073</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51106</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>57058</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0082</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51206</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>57059</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0090</X>
<Y>0.3065</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51314</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>57060</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0098</X>
<Y>0.3083</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51426</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>57061</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0106</X>
<Y>0.3100</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51541</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>57062</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0113</X>
<Y>0.3118</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51657</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>57063</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0120</X>
<Y>0.3135</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>57064</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0126</X>
<Y>0.3153</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51883</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>57065</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0133</X>
<Y>0.3171</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.51993</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>57066</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0139</X>
<Y>0.3189</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.52102</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>57067</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0144</X>
<Y>0.3207</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.52214</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>57068</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0150</X>
<Y>0.3225</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.52333</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>57069</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0155</X>
<Y>0.3244</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.52466</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>57070</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0159</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.52619</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>57071</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0164</X>
<Y>0.3281</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.52795</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>57072</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0168</X>
<Y>0.3299</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.52992</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>57073</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0171</X>
<Y>0.3318</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.53203</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>57074</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0175</X>
<Y>0.3337</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.53416</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>57075</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0178</X>
<Y>0.3355</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.53622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>57076</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0180</X>
<Y>0.3374</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.53812</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>57077</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0182</X>
<Y>0.3393</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.53984</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57078</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0184</X>
<Y>0.3412</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.54135</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>57079</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0186</X>
<Y>0.3431</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.54269</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>57080</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0187</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.54388</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>57081</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0188</X>
<Y>0.3469</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.54496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57082</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0188</X>
<Y>0.3489</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.54601</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>57083</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0189</X>
<Y>0.3508</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.54706</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>57084</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0188</X>
<Y>0.3527</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.54818</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57085</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0188</X>
<Y>0.3546</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.54940</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>57086</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0187</X>
<Y>0.3565</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.55068</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57087</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0186</X>
<Y>0.3585</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.55205</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>57088</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0184</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.55343</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57089</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0182</X>
<Y>0.3623</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.55479</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57090</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0180</X>
<Y>0.3642</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.55613</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57091</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0177</X>
<Y>0.3661</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.55748</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>57092</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0174</X>
<Y>0.3681</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.55880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>57093</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0171</X>
<Y>0.3700</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.56008</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>57094</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0167</X>
<Y>0.3719</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.56135</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57095</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0163</X>
<Y>0.3738</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.56262</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57096</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0158</X>
<Y>0.3757</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.56396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57097</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0154</X>
<Y>0.3776</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.56540</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57098</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0148</X>
<Y>0.3795</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.56705</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57099</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0143</X>
<Y>0.3813</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.56890</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57100</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0137</X>
<Y>0.3832</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57091</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57101</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0131</X>
<Y>0.3851</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57102</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0124</X>
<Y>0.3870</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57514</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57103</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0117</X>
<Y>0.3888</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57104</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0110</X>
<Y>0.3907</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57914</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57105</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0103</X>
<Y>0.3925</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58087</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57106</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0095</X>
<Y>0.3943</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58247</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57107</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0086</X>
<Y>0.3961</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57108</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0078</X>
<Y>0.3979</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58530</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57109</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0069</X>
<Y>0.3997</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58657</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57110</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0060</X>
<Y>0.4015</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58787</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57111</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0050</X>
<Y>0.4033</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58920</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57112</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0040</X>
<Y>0.4050</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59056</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57113</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0030</X>
<Y>0.4068</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59196</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57114</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0019</X>
<Y>0.4085</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59337</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57115</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0008</X>
<Y>0.4102</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59480</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57116</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0003</X>
<Y>0.4119</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59627</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>57117</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0014</X>
<Y>0.4136</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59772</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>57118</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0026</X>
<Y>0.4153</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59910</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>57119</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0039</X>
<Y>0.4169</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60038</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>57120</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0051</X>
<Y>0.4185</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60155</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57121</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0064</X>
<Y>0.4202</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60266</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>57122</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0077</X>
<Y>0.4217</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>57123</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0090</X>
<Y>0.4233</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60492</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>57124</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0104</X>
<Y>0.4249</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>57125</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0118</X>
<Y>0.4264</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60769</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57126</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0132</X>
<Y>0.4279</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60926</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57127</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0147</X>
<Y>0.4294</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61096</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57128</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0162</X>
<Y>0.4309</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61274</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57129</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0177</X>
<Y>0.4324</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61460</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57130</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0192</X>
<Y>0.4338</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>57131</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0208</X>
<Y>0.4352</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61847</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57132</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0224</X>
<Y>0.4366</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62023</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>57133</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0240</X>
<Y>0.4380</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62182</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>57134</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0256</X>
<Y>0.4393</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62320</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57135</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0273</X>
<Y>0.4406</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62444</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57136</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0290</X>
<Y>0.4419</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62562</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57137</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0307</X>
<Y>0.4432</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62669</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57138</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0324</X>
<Y>0.4444</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62768</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57139</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0342</X>
<Y>0.4457</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62870</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>57140</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0360</X>
<Y>0.4469</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62976</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>57141</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0378</X>
<Y>0.4480</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63087</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>57142</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0396</X>
<Y>0.4492</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63205</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>57143</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0415</X>
<Y>0.4503</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63327</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>57144</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0434</X>
<Y>0.4514</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63451</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>57145</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0453</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63568</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>57146</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0472</X>
<Y>0.4535</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>57147</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0491</X>
<Y>0.4545</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>57148</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0511</X>
<Y>0.4554</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>57149</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0531</X>
<Y>0.4564</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63970</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>57150</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0551</X>
<Y>0.4573</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64066</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>57151</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0571</X>
<Y>0.4582</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64165</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>57152</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0591</X>
<Y>0.4590</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64276</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>57153</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0611</X>
<Y>0.4599</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64398</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>57154</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0632</X>
<Y>0.4607</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64530</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>57155</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0653</X>
<Y>0.4614</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64670</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>57156</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0674</X>
<Y>0.4622</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64815</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>57157</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0695</X>
<Y>0.4629</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64959</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>57158</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0716</X>
<Y>0.4635</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65093</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>57159</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0737</X>
<Y>0.4642</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65219</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>57160</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0759</X>
<Y>0.4648</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65326</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>57161</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0780</X>
<Y>0.4653</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65416</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>57162</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0802</X>
<Y>0.4659</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>57163</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0824</X>
<Y>0.4664</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65568</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>57164</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0846</X>
<Y>0.4669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65641</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>57165</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0868</X>
<Y>0.4673</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>57166</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0890</X>
<Y>0.4677</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65807</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>57167</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0912</X>
<Y>0.4681</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65896</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>57168</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0934</X>
<Y>0.4685</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65982</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>57169</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0956</X>
<Y>0.4688</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66064</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>57170</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0979</X>
<Y>0.4690</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66146</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>57171</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1001</X>
<Y>0.4693</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66227</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>57172</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1024</X>
<Y>0.4695</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66310</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>57173</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1046</X>
<Y>0.4697</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66387</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>57174</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1069</X>
<Y>0.4698</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66455</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>57175</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1091</X>
<Y>0.4699</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66511</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>57176</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1114</X>
<Y>0.4700</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66560</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>57177</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1137</X>
<Y>0.4700</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66604</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>57178</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1159</X>
<Y>0.4700</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66649</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>57179</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1182</X>
<Y>0.4700</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66700</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>57180</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1205</X>
<Y>0.4700</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66765</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>57181</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1228</X>
<Y>0.4699</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66843</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>57182</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1250</X>
<Y>0.4697</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66930</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>57183</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1273</X>
<Y>0.4696</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67026</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>57184</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1296</X>
<Y>0.4694</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67127</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>57185</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1318</X>
<Y>0.4691</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67223</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>57186</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1341</X>
<Y>0.4688</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67307</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>57187</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1363</X>
<Y>0.4685</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67373</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>57188</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1386</X>
<Y>0.4682</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>57189</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1408</X>
<Y>0.4678</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67459</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>57190</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1431</X>
<Y>0.4674</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67487</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>57191</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1453</X>
<Y>0.4670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67510</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>57192</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1475</X>
<Y>0.4665</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67535</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>57193</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1498</X>
<Y>0.4660</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67563</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>57194</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1520</X>
<Y>0.4654</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67597</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>57195</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1542</X>
<Y>0.4649</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67632</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>57196</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1564</X>
<Y>0.4642</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67672</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>57197</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1585</X>
<Y>0.4636</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67713</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>57198</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1607</X>
<Y>0.4629</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67748</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>57199</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1629</X>
<Y>0.4622</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67781</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>57200</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1650</X>
<Y>0.4615</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67808</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>57201</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1671</X>
<Y>0.4607</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67833</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>57202</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1693</X>
<Y>0.4599</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67857</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>57203</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1714</X>
<Y>0.4590</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67879</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>57204</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1735</X>
<Y>0.4581</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67900</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57205</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1755</X>
<Y>0.4572</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67922</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>57206</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1776</X>
<Y>0.4563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67947</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>57207</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1796</X>
<Y>0.4553</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.67980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>57208</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1817</X>
<Y>0.4543</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68025</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>57209</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1837</X>
<Y>0.4533</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68081</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>57210</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1857</X>
<Y>0.4522</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68146</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>57211</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1877</X>
<Y>0.4511</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68215</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57212</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1896</X>
<Y>0.4500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68284</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57213</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1915</X>
<Y>0.4488</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68342</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57214</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1935</X>
<Y>0.4476</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68385</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57215</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1954</X>
<Y>0.4464</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68417</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>57216</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1972</X>
<Y>0.4452</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>57217</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1991</X>
<Y>0.4439</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68455</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>57218</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2009</X>
<Y>0.4426</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68465</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>57219</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2027</X>
<Y>0.4412</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68475</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>57220</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2045</X>
<Y>0.4399</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.68488</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>
