<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>BulletinA</product>
<date>2014-09-18</date>
<volume>XXVII</volume>
<number>038</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>08</dateMonth>
<dateDay>27</dateDay>
<MJD>56896</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-92.84</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.26</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.033</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.236</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>56897</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-93.01</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.46</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.019</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.260</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>56898</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-93.02</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.63</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.001</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.278</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>56899</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-92.89</dPsi>
<sigma_dPsi>0.28</sigma_dPsi>
<dEpsilon>-13.70</dEpsilon>
<sigma_dEpsilon>0.10</sigma_dEpsilon>
<dX>-0.007</dX>
<sigma_dX>0.111</sigma_dX>
<dY>-0.288</dY>
<sigma_dY>0.100</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>56900</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-92.87</dPsi>
<sigma_dPsi>0.28</sigma_dPsi>
<dEpsilon>-13.73</dEpsilon>
<sigma_dEpsilon>0.10</sigma_dEpsilon>
<dX>-0.012</dX>
<sigma_dX>0.111</sigma_dX>
<dY>-0.306</dY>
<sigma_dY>0.100</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>56901</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-93.13</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.77</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>-0.015</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.320</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>56902</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-93.53</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.82</dEpsilon>
<sigma_dEpsilon>0.04</sigma_dEpsilon>
<dX>-0.008</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.338</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>56903</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-93.78</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.86</dEpsilon>
<sigma_dEpsilon>0.04</sigma_dEpsilon>
<dX>0.005</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.368</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>56904</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-93.77</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.91</dEpsilon>
<sigma_dEpsilon>0.04</sigma_dEpsilon>
<dX>0.006</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.402</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>56905</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-93.62</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-13.99</dEpsilon>
<sigma_dEpsilon>0.04</sigma_dEpsilon>
<dX>0.007</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.433</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>56912</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.20470</X>
<sigma_X>.00009</sigma_X>
<Y>0.31751</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.336934</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>56913</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.20384</X>
<sigma_X>.00009</sigma_X>
<Y>0.31545</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.337773</UT1-UTC>
<sigma_UT1-UTC>0.000014</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>56914</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.20334</X>
<sigma_X>.00009</sigma_X>
<Y>0.31373</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.338488</UT1-UTC>
<sigma_UT1-UTC>0.000009</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>56915</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.20306</X>
<sigma_X>.00009</sigma_X>
<Y>0.31227</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.339114</UT1-UTC>
<sigma_UT1-UTC>0.000008</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>56916</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.20266</X>
<sigma_X>.00009</sigma_X>
<Y>0.31088</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.339718</UT1-UTC>
<sigma_UT1-UTC>0.000007</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>56917</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.20197</X>
<sigma_X>.00009</sigma_X>
<Y>0.30949</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.340346</UT1-UTC>
<sigma_UT1-UTC>0.000065</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>56918</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.20111</X>
<sigma_X>.00009</sigma_X>
<Y>0.30808</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.341006</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_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>0.2002</X>
<Y>0.3065</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34168</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>0.3049</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34238</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>0.1985</X>
<Y>0.3033</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34314</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>0.1978</X>
<Y>0.3017</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34397</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>0.1971</X>
<Y>0.3001</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34486</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>0.1963</X>
<Y>0.2986</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34578</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>0.1955</X>
<Y>0.2971</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34670</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>0.1946</X>
<Y>0.2957</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34762</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>0.1936</X>
<Y>0.2943</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34851</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>0.1927</X>
<Y>0.2929</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.34939</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>0.1917</X>
<Y>0.2915</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35025</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>0.1908</X>
<Y>0.2900</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35113</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>0.1899</X>
<Y>0.2886</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35205</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>0.1889</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35303</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>0.1879</X>
<Y>0.2858</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35409</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>0.1869</X>
<Y>0.2844</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35530</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>0.1858</X>
<Y>0.2831</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35670</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>0.1847</X>
<Y>0.2818</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35827</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>0.1836</X>
<Y>0.2805</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.35996</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>0.1825</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36166</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>0.1813</X>
<Y>0.2779</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36330</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>0.1802</X>
<Y>0.2766</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36479</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>0.1790</X>
<Y>0.2754</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36610</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>0.1778</X>
<Y>0.2741</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36725</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>0.1765</X>
<Y>0.2729</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36827</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>0.1753</X>
<Y>0.2717</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.36924</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>0.1740</X>
<Y>0.2706</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37020</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>0.1727</X>
<Y>0.2694</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37120</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>0.1714</X>
<Y>0.2683</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37226</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>0.1700</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37341</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>0.1686</X>
<Y>0.2660</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37463</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>0.1672</X>
<Y>0.2649</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37593</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>0.1658</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37730</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>0.1644</X>
<Y>0.2629</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.37870</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>0.1629</X>
<Y>0.2618</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38010</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>0.1614</X>
<Y>0.2608</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38150</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>0.1600</X>
<Y>0.2599</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38285</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>0.1584</X>
<Y>0.2589</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38415</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>0.1569</X>
<Y>0.2580</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38540</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>0.1553</X>
<Y>0.2571</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38663</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>0.1538</X>
<Y>0.2562</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38790</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>0.1522</X>
<Y>0.2554</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.38924</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>0.1506</X>
<Y>0.2545</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39072</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>0.1489</X>
<Y>0.2537</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39236</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>0.1473</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39416</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>0.1456</X>
<Y>0.2522</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39606</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>0.1440</X>
<Y>0.2514</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39801</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>0.1423</X>
<Y>0.2507</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.39993</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>0.1406</X>
<Y>0.2501</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40173</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>0.1388</X>
<Y>0.2494</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40339</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>0.1371</X>
<Y>0.2488</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40488</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>0.1354</X>
<Y>0.2482</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40625</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>0.1336</X>
<Y>0.2476</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40752</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>0.1318</X>
<Y>0.2471</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40874</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>0.1300</X>
<Y>0.2465</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.40997</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>0.1282</X>
<Y>0.2460</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41123</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>0.1264</X>
<Y>0.2456</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41256</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>0.1246</X>
<Y>0.2451</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41396</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>0.1228</X>
<Y>0.2447</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41543</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>0.1209</X>
<Y>0.2444</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41696</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>0.1191</X>
<Y>0.2440</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.41853</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>0.1172</X>
<Y>0.2437</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42011</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>0.1153</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42166</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>0.1135</X>
<Y>0.2431</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42316</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>0.1116</X>
<Y>0.2429</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42459</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>0.1097</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42594</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>0.1078</X>
<Y>0.2425</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42723</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>0.1059</X>
<Y>0.2424</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42851</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>0.1040</X>
<Y>0.2422</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.42984</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>0.1021</X>
<Y>0.2422</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43125</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>0.1002</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43279</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>0.0983</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43445</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>0.0963</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43619</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>0.0944</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43797</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>0.0925</X>
<Y>0.2422</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.43971</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>0.0906</X>
<Y>0.2423</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44135</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>0.0887</X>
<Y>0.2424</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44285</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>0.0867</X>
<Y>0.2425</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44420</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>0.0848</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44541</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>0.0829</X>
<Y>0.2429</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44651</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>0.0810</X>
<Y>0.2432</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44754</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>0.0791</X>
<Y>0.2435</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44856</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>0.0771</X>
<Y>0.2438</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.44960</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>0.0752</X>
<Y>0.2441</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45068</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>0.0733</X>
<Y>0.2445</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45182</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>0.0714</X>
<Y>0.2449</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45302</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>0.0695</X>
<Y>0.2453</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45427</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>0.0677</X>
<Y>0.2457</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45556</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>0.0658</X>
<Y>0.2462</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45686</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>0.0639</X>
<Y>0.2467</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45814</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>0.0620</X>
<Y>0.2473</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.45938</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>0.0602</X>
<Y>0.2479</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46055</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>0.0583</X>
<Y>0.2485</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46167</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>0.0565</X>
<Y>0.2491</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46273</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>0.0546</X>
<Y>0.2498</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46377</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>0.0528</X>
<Y>0.2505</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46485</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>0.0510</X>
<Y>0.2512</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46601</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>0.0492</X>
<Y>0.2520</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46730</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>0.0474</X>
<Y>0.2527</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46871</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>0.0457</X>
<Y>0.2535</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47021</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>0.0439</X>
<Y>0.2544</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47175</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>0.0421</X>
<Y>0.2553</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47324</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>0.0404</X>
<Y>0.2562</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47462</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>0.0387</X>
<Y>0.2571</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47587</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>0.0370</X>
<Y>0.2580</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47695</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>0.0353</X>
<Y>0.2590</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47789</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>0.0336</X>
<Y>0.2600</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47872</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>0.0320</X>
<Y>0.2610</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47947</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>0.0303</X>
<Y>0.2621</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48023</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>0.0287</X>
<Y>0.2632</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48101</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>0.0271</X>
<Y>0.2643</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48184</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>0.0255</X>
<Y>0.2654</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48273</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>0.0240</X>
<Y>0.2666</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48369</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>0.0224</X>
<Y>0.2678</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48471</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>0.0209</X>
<Y>0.2690</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48578</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>0.0194</X>
<Y>0.2703</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48688</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>0.0179</X>
<Y>0.2715</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48799</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>0.0165</X>
<Y>0.2728</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48907</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>0.0151</X>
<Y>0.2741</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49012</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>0.0136</X>
<Y>0.2755</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49113</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>0.0123</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49210</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>0.0109</X>
<Y>0.2782</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49305</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>0.0096</X>
<Y>0.2796</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49405</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>0.0082</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49514</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>0.0069</X>
<Y>0.2825</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49637</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>0.0057</X>
<Y>0.2840</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49778</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>0.0044</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49932</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>0.0032</X>
<Y>0.2870</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50095</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>0.0020</X>
<Y>0.2885</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50256</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>0.0009</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50409</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>-0.0002</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50548</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>-0.0014</X>
<Y>0.2933</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50671</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>-0.0024</X>
<Y>0.2949</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50780</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>-0.0035</X>
<Y>0.2965</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50876</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>-0.0045</X>
<Y>0.2981</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50964</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>-0.0055</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51050</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>-0.0064</X>
<Y>0.3015</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51137</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>-0.0074</X>
<Y>0.3032</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51229</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>-0.0083</X>
<Y>0.3049</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51328</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>-0.0091</X>
<Y>0.3066</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51434</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>-0.0100</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51548</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>-0.0108</X>
<Y>0.3102</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51667</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>-0.0115</X>
<Y>0.3119</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51791</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>-0.0123</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51916</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>-0.0130</X>
<Y>0.3155</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52040</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>-0.0137</X>
<Y>0.3173</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52160</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>-0.0143</X>
<Y>0.3192</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52277</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>-0.0149</X>
<Y>0.3210</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52389</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>-0.0155</X>
<Y>0.3229</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52500</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>-0.0161</X>
<Y>0.3247</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52614</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>-0.0166</X>
<Y>0.3266</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52735</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>-0.0170</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52871</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>-0.0175</X>
<Y>0.3304</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53025</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>-0.0179</X>
<Y>0.3323</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53199</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>-0.0183</X>
<Y>0.3342</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53387</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>-0.0186</X>
<Y>0.3361</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53581</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>-0.0189</X>
<Y>0.3380</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53770</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>-0.0192</X>
<Y>0.3399</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53948</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>-0.0194</X>
<Y>0.3419</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54108</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>-0.0196</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54252</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>-0.0198</X>
<Y>0.3458</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54381</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>-0.0199</X>
<Y>0.3477</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54501</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>-0.0200</X>
<Y>0.3497</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54615</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>-0.0201</X>
<Y>0.3516</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54729</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>-0.0201</X>
<Y>0.3536</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54846</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>-0.0201</X>
<Y>0.3556</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54970</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>-0.0201</X>
<Y>0.3575</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55101</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>-0.0200</X>
<Y>0.3595</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55240</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>-0.0199</X>
<Y>0.3615</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55385</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>-0.0197</X>
<Y>0.3634</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55534</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>-0.0195</X>
<Y>0.3654</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55686</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>-0.0193</X>
<Y>0.3674</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55837</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>-0.0190</X>
<Y>0.3693</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55986</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>-0.0187</X>
<Y>0.3713</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56129</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>-0.0184</X>
<Y>0.3732</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56268</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>-0.0180</X>
<Y>0.3752</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56404</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>-0.0176</X>
<Y>0.3771</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56540</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>-0.0172</X>
<Y>0.3791</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56681</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>-0.0167</X>
<Y>0.3810</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56834</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>-0.0162</X>
<Y>0.3830</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57005</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>-0.0156</X>
<Y>0.3849</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57196</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>-0.0151</X>
<Y>0.3868</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57406</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>-0.0144</X>
<Y>0.3887</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57629</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>-0.0138</X>
<Y>0.3906</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57856</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>-0.0131</X>
<Y>0.3925</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58076</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>-0.0124</X>
<Y>0.3944</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58282</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>-0.0116</X>
<Y>0.3963</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58470</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>-0.0108</X>
<Y>0.3982</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58642</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>-0.0100</X>
<Y>0.4001</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58799</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>-0.0091</X>
<Y>0.4019</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58946</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>-0.0082</X>
<Y>0.4037</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59087</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>-0.0073</X>
<Y>0.4056</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59226</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>-0.0063</X>
<Y>0.4074</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59364</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>-0.0053</X>
<Y>0.4092</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59503</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>-0.0043</X>
<Y>0.4110</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59643</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>-0.0032</X>
<Y>0.4127</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59783</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>-0.0021</X>
<Y>0.4145</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59923</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>-0.0010</X>
<Y>0.4162</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60062</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>0.0002</X>
<Y>0.4180</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60197</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>0.0013</X>
<Y>0.4197</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60326</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>0.0026</X>
<Y>0.4214</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60448</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>0.0038</X>
<Y>0.4230</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60563</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>0.0051</X>
<Y>0.4247</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60670</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>0.0064</X>
<Y>0.4263</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60774</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>0.0078</X>
<Y>0.4280</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60879</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>0.0092</X>
<Y>0.4296</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60993</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>0.0106</X>
<Y>0.4311</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61121</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>0.0120</X>
<Y>0.4327</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61270</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>0.0135</X>
<Y>0.4342</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61442</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>0.0150</X>
<Y>0.4358</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61633</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>0.0165</X>
<Y>0.4372</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61836</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>0.0181</X>
<Y>0.4387</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62041</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>0.0196</X>
<Y>0.4402</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62237</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>0.0213</X>
<Y>0.4416</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62417</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>0.0229</X>
<Y>0.4430</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62580</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>0.0246</X>
<Y>0.4444</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62727</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>0.0262</X>
<Y>0.4457</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62864</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>0.0280</X>
<Y>0.4471</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62994</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>0.0297</X>
<Y>0.4484</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63121</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>0.0315</X>
<Y>0.4497</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63245</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>0.0332</X>
<Y>0.4509</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63369</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>0.0351</X>
<Y>0.4522</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63494</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>0.0369</X>
<Y>0.4534</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63620</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>0.0387</X>
<Y>0.4545</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63748</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>0.0406</X>
<Y>0.4557</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63877</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>0.0425</X>
<Y>0.4568</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64008</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>0.0445</X>
<Y>0.4579</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64136</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>0.0464</X>
<Y>0.4590</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64261</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>0.0484</X>
<Y>0.4600</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64376</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>0.0503</X>
<Y>0.4610</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64482</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>0.0524</X>
<Y>0.4620</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64581</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>0.0544</X>
<Y>0.4629</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64673</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>0.0564</X>
<Y>0.4638</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64767</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>0.0585</X>
<Y>0.4647</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64865</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>0.0605</X>
<Y>0.4656</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64970</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>0.0626</X>
<Y>0.4664</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65088</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>0.0648</X>
<Y>0.4672</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65212</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>0.0669</X>
<Y>0.4679</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65343</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>0.0690</X>
<Y>0.4687</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65474</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>0.0712</X>
<Y>0.4694</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65594</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>0.0733</X>
<Y>0.4700</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65698</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>0.0755</X>
<Y>0.4706</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65790</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>0.0777</X>
<Y>0.4712</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65867</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>0.0799</X>
<Y>0.4718</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65933</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>0.0821</X>
<Y>0.4723</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65991</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>0.0844</X>
<Y>0.4728</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66051</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>0.0866</X>
<Y>0.4733</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66118</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>0.0888</X>
<Y>0.4737</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66189</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>0.0911</X>
<Y>0.4741</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66263</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>0.4745</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66340</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>0.4748</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66422</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>0.4751</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66511</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>0.1002</X>
<Y>0.4754</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66598</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>0.1025</X>
<Y>0.4756</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66685</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>0.1048</X>
<Y>0.4758</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66773</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>0.1071</X>
<Y>0.4759</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66853</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>0.1094</X>
<Y>0.4760</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66925</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>0.1117</X>
<Y>0.4761</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66991</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>0.1140</X>
<Y>0.4762</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67052</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>0.1163</X>
<Y>0.4762</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67108</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>0.1186</X>
<Y>0.4762</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67169</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>0.1209</X>
<Y>0.4761</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67234</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>0.1233</X>
<Y>0.4760</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67310</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>0.1256</X>
<Y>0.4759</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67394</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>0.1279</X>
<Y>0.4757</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67484</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>0.1302</X>
<Y>0.4755</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67571</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>0.1325</X>
<Y>0.4753</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67656</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>0.1348</X>
<Y>0.4750</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67730</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>0.1371</X>
<Y>0.4747</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67785</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>0.1394</X>
<Y>0.4744</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67825</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>0.1417</X>
<Y>0.4740</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67855</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>0.1440</X>
<Y>0.4736</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67878</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>0.1463</X>
<Y>0.4731</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67898</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>0.1486</X>
<Y>0.4726</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67918</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>0.1508</X>
<Y>0.4721</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67949</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>0.1531</X>
<Y>0.4716</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67988</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>0.1553</X>
<Y>0.4710</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68036</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>0.1576</X>
<Y>0.4703</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68095</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>0.1598</X>
<Y>0.4697</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68160</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>0.1620</X>
<Y>0.4690</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68226</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>0.1642</X>
<Y>0.4683</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68286</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>0.1664</X>
<Y>0.4675</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68339</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>0.1686</X>
<Y>0.4667</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68379</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>0.1708</X>
<Y>0.4659</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68412</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>0.1730</X>
<Y>0.4650</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68438</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>0.1751</X>
<Y>0.4641</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68457</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>0.1772</X>
<Y>0.4632</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68473</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>0.1793</X>
<Y>0.4622</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68491</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>0.1814</X>
<Y>0.4613</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68514</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>0.1835</X>
<Y>0.4602</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68548</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>0.1856</X>
<Y>0.4592</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68592</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>0.1876</X>
<Y>0.4581</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68646</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>0.1896</X>
<Y>0.4569</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68704</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>0.1917</X>
<Y>0.4558</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68757</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>0.1936</X>
<Y>0.4546</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68801</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>0.1956</X>
<Y>0.4534</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68828</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>0.1976</X>
<Y>0.4521</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68836</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>0.1995</X>
<Y>0.4509</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68829</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>0.2014</X>
<Y>0.4496</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68816</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>0.2033</X>
<Y>0.4482</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68800</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>0.2051</X>
<Y>0.4469</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68786</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>0.2070</X>
<Y>0.4455</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68778</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>57221</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2088</X>
<Y>0.4440</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68774</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>57222</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2105</X>
<Y>0.4426</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68779</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57223</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2123</X>
<Y>0.4411</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57224</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2140</X>
<Y>0.4396</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68805</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>57225</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2158</X>
<Y>0.4380</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68824</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>57226</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2174</X>
<Y>0.4365</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68842</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>57227</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2191</X>
<Y>0.4349</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68851</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>57228</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2207</X>
<Y>0.4333</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68861</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>57229</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2223</X>
<Y>0.4316</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68867</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>57230</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2239</X>
<Y>0.4300</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68868</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>57231</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2254</X>
<Y>0.4283</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57232</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2269</X>
<Y>0.4266</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68869</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>57233</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2284</X>
<Y>0.4248</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68882</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>57234</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2299</X>
<Y>0.4231</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68900</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>57235</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2313</X>
<Y>0.4213</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68931</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>57236</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2327</X>
<Y>0.4195</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68982</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>57237</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2340</X>
<Y>0.4176</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69046</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>57238</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2354</X>
<Y>0.4158</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69115</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>57239</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2367</X>
<Y>0.4139</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>57240</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2379</X>
<Y>0.4120</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69229</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>57241</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2391</X>
<Y>0.4101</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69263</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>57242</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2403</X>
<Y>0.4081</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69284</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>57243</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2415</X>
<Y>0.4062</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69290</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>57244</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2426</X>
<Y>0.4042</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69284</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>57245</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2437</X>
<Y>0.4022</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69268</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>57246</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2448</X>
<Y>0.4002</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69248</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>57247</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2458</X>
<Y>0.3982</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69232</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>57248</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2468</X>
<Y>0.3962</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69224</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>57249</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2477</X>
<Y>0.3941</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69231</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>57250</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2486</X>
<Y>0.3920</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69250</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>57251</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2495</X>
<Y>0.3899</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69281</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>57252</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2504</X>
<Y>0.3878</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69310</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>57253</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2512</X>
<Y>0.3857</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69336</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>57254</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2519</X>
<Y>0.3836</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69355</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>57255</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2526</X>
<Y>0.3814</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69373</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>57256</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2533</X>
<Y>0.3793</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69398</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>57257</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2540</X>
<Y>0.3771</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69427</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>57258</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2546</X>
<Y>0.3749</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69455</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>57259</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2552</X>
<Y>0.3728</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>57260</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2557</X>
<Y>0.3706</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69519</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>57261</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2562</X>
<Y>0.3683</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69561</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>57262</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2567</X>
<Y>0.3661</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>57263</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2571</X>
<Y>0.3639</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69693</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>57264</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2575</X>
<Y>0.3617</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69775</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>57265</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2578</X>
<Y>0.3594</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69870</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>57266</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2581</X>
<Y>0.3572</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69969</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>57267</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2584</X>
<Y>0.3549</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70064</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>57268</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2586</X>
<Y>0.3527</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>57269</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2588</X>
<Y>0.3504</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70221</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>57270</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2589</X>
<Y>0.3482</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70281</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>57271</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2590</X>
<Y>0.3459</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70326</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>57272</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2591</X>
<Y>0.3436</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70365</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>57273</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2591</X>
<Y>0.3414</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70402</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>57274</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2591</X>
<Y>0.3391</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70443</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>57275</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2590</X>
<Y>0.3368</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>57276</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2589</X>
<Y>0.3345</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70552</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>57277</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2588</X>
<Y>0.3323</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>57278</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2586</X>
<Y>0.3300</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70703</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>57279</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2584</X>
<Y>0.3277</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70789</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>57280</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2582</X>
<Y>0.3255</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70871</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>57281</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2579</X>
<Y>0.3232</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70950</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>57282</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2575</X>
<Y>0.3209</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.71024</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>57283</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2571</X>
<Y>0.3187</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.71092</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>