<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>BulletinA</product>
<date>2015-01-01</date>
<volume>XXVIII</volume>
<number>001</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>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57002</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.76</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-9.91</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>-0.139</dX>
<sigma_dX>0.044</sigma_dX>
<dY>0.022</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57003</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.50</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-10.01</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>-0.128</dX>
<sigma_dX>0.044</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57004</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.37</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-9.99</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>-0.116</dX>
<sigma_dX>0.044</sigma_dX>
<dY>0.063</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57005</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.34</dPsi>
<sigma_dPsi>0.17</sigma_dPsi>
<dEpsilon>-9.89</dEpsilon>
<sigma_dEpsilon>0.09</sigma_dEpsilon>
<dX>-0.106</dX>
<sigma_dX>0.068</sigma_dX>
<dY>0.085</dY>
<sigma_dY>0.090</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57006</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.32</dPsi>
<sigma_dPsi>0.17</sigma_dPsi>
<dEpsilon>-9.80</dEpsilon>
<sigma_dEpsilon>0.09</sigma_dEpsilon>
<dX>-0.089</dX>
<sigma_dX>0.068</sigma_dX>
<dY>0.113</dY>
<sigma_dY>0.090</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57007</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-87.35</dPsi>
<sigma_dPsi>0.17</sigma_dPsi>
<dEpsilon>-9.76</dEpsilon>
<sigma_dEpsilon>0.09</sigma_dEpsilon>
<dX>-0.074</dX>
<sigma_dX>0.068</sigma_dX>
<dY>0.136</dY>
<sigma_dY>0.090</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57017</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03623</X>
<sigma_X>.00009</sigma_X>
<Y>0.27630</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.451947</UT1-UTC>
<sigma_UT1-UTC>0.000015</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57018</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03532</X>
<sigma_X>.00009</sigma_X>
<Y>0.27699</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.453384</UT1-UTC>
<sigma_UT1-UTC>0.000014</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57019</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03471</X>
<sigma_X>.00009</sigma_X>
<Y>0.27775</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.454896</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57020</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03425</X>
<sigma_X>.00009</sigma_X>
<Y>0.27863</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.456384</UT1-UTC>
<sigma_UT1-UTC>0.000009</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57021</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03351</X>
<sigma_X>.00009</sigma_X>
<Y>0.27953</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.457718</UT1-UTC>
<sigma_UT1-UTC>0.000009</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57022</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03227</X>
<sigma_X>.00009</sigma_X>
<Y>0.28028</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.458902</UT1-UTC>
<sigma_UT1-UTC>0.000065</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57023</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03081</X>
<sigma_X>.00009</sigma_X>
<Y>0.28076</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.459949</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_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>0.0295</X>
<Y>0.2814</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46088</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>0.0281</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46168</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>0.0268</X>
<Y>0.2828</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46237</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>0.0256</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46300</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>0.0245</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46362</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>0.0234</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46429</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>0.0222</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46503</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>0.0210</X>
<Y>0.2875</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46584</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>0.0198</X>
<Y>0.2885</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46672</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>0.0187</X>
<Y>0.2896</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46763</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>0.0176</X>
<Y>0.2906</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46859</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>0.0164</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.46959</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>0.0154</X>
<Y>0.2927</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47058</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>0.0143</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47155</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>0.0132</X>
<Y>0.2950</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47250</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>0.0121</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47341</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>0.0110</X>
<Y>0.2974</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47430</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>0.0100</X>
<Y>0.2987</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47524</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>57042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0089</X>
<Y>0.2999</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47627</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>0.0079</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47748</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>0.0069</X>
<Y>0.3025</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.47887</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>0.0060</X>
<Y>0.3038</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48041</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>0.0050</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48204</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>0.0041</X>
<Y>0.3066</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48367</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>0.0032</X>
<Y>0.3079</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48522</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>0.0024</X>
<Y>0.3093</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48662</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>0.0015</X>
<Y>0.3108</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48785</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>0.0007</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48892</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>-0.0001</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.48985</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>-0.0009</X>
<Y>0.3151</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49069</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>-0.0017</X>
<Y>0.3166</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49148</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>-0.0024</X>
<Y>0.3181</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49228</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>-0.0031</X>
<Y>0.3196</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49312</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>-0.0037</X>
<Y>0.3212</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49401</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>-0.0044</X>
<Y>0.3227</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49498</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>-0.0050</X>
<Y>0.3243</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49601</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>-0.0055</X>
<Y>0.3259</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49709</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>-0.0061</X>
<Y>0.3275</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49821</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>-0.0066</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.49932</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>-0.0071</X>
<Y>0.3307</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50043</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>-0.0076</X>
<Y>0.3323</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50150</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>-0.0080</X>
<Y>0.3340</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50252</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>-0.0084</X>
<Y>0.3356</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50351</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>-0.0088</X>
<Y>0.3373</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50447</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>-0.0091</X>
<Y>0.3389</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50545</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>-0.0094</X>
<Y>0.3406</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50651</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>-0.0097</X>
<Y>0.3423</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50771</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>-0.0099</X>
<Y>0.3440</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.50910</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>-0.0101</X>
<Y>0.3457</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51068</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>-0.0103</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51240</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>-0.0104</X>
<Y>0.3491</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51418</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>-0.0106</X>
<Y>0.3508</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51592</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>-0.0106</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51753</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>-0.0107</X>
<Y>0.3543</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.51898</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>-0.0107</X>
<Y>0.3560</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52025</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>-0.0107</X>
<Y>0.3577</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52137</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>-0.0106</X>
<Y>0.3595</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52240</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>-0.0105</X>
<Y>0.3612</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52336</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>-0.0104</X>
<Y>0.3629</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52432</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>-0.0103</X>
<Y>0.3647</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52531</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>-0.0101</X>
<Y>0.3664</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52636</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>-0.0098</X>
<Y>0.3682</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52748</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>-0.0096</X>
<Y>0.3699</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52868</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>-0.0093</X>
<Y>0.3716</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.52995</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>-0.0090</X>
<Y>0.3734</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53126</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>-0.0086</X>
<Y>0.3751</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53261</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>-0.0082</X>
<Y>0.3769</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53394</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>-0.0078</X>
<Y>0.3786</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53524</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>-0.0074</X>
<Y>0.3803</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53650</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>-0.0069</X>
<Y>0.3820</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53771</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>-0.0064</X>
<Y>0.3838</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.53888</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>-0.0058</X>
<Y>0.3855</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54006</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>-0.0052</X>
<Y>0.3872</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54129</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>-0.0046</X>
<Y>0.3889</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54264</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>-0.0039</X>
<Y>0.3906</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54415</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>-0.0033</X>
<Y>0.3923</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54585</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>-0.0025</X>
<Y>0.3940</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54773</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>-0.0018</X>
<Y>0.3956</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.54974</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>-0.0010</X>
<Y>0.3973</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55178</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>-0.0002</X>
<Y>0.3990</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55375</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>0.0007</X>
<Y>0.4006</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55557</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>0.0015</X>
<Y>0.4022</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55721</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>0.0025</X>
<Y>0.4039</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.55868</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>0.0034</X>
<Y>0.4055</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56001</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>0.0044</X>
<Y>0.4071</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56127</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>0.0054</X>
<Y>0.4087</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56248</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>0.0064</X>
<Y>0.4103</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56371</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>0.0075</X>
<Y>0.4118</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56497</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>0.0086</X>
<Y>0.4134</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56630</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>0.0097</X>
<Y>0.4149</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56771</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>0.0109</X>
<Y>0.4164</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.56917</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>0.0121</X>
<Y>0.4179</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57069</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>0.0133</X>
<Y>0.4194</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57223</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>0.0145</X>
<Y>0.4209</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57376</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>0.0158</X>
<Y>0.4224</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57527</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>0.0171</X>
<Y>0.4238</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57672</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>0.0184</X>
<Y>0.4252</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57812</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>0.0198</X>
<Y>0.4266</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.57946</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>0.0212</X>
<Y>0.4280</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58077</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>0.0226</X>
<Y>0.4294</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58210</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>0.0240</X>
<Y>0.4307</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58349</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>0.0255</X>
<Y>0.4321</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58501</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>0.0270</X>
<Y>0.4334</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58669</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>0.0285</X>
<Y>0.4346</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.58854</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>0.0301</X>
<Y>0.4359</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59054</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>0.0316</X>
<Y>0.4372</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59262</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>0.0332</X>
<Y>0.4384</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59469</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>0.0348</X>
<Y>0.4396</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59665</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>0.0365</X>
<Y>0.4408</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59838</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>0.0382</X>
<Y>0.4419</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.59993</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>0.0398</X>
<Y>0.4430</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60132</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>0.0416</X>
<Y>0.4442</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60259</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>0.0433</X>
<Y>0.4452</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60380</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>0.0450</X>
<Y>0.4463</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60498</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>0.0468</X>
<Y>0.4473</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60618</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>0.0486</X>
<Y>0.4483</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60741</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>0.0504</X>
<Y>0.4493</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.60869</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>0.0523</X>
<Y>0.4503</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61001</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>0.0541</X>
<Y>0.4512</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61137</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>0.0560</X>
<Y>0.4521</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61274</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>0.0579</X>
<Y>0.4530</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61409</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>0.0598</X>
<Y>0.4538</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61541</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>0.0617</X>
<Y>0.4547</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61666</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>0.0637</X>
<Y>0.4554</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61783</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>0.0656</X>
<Y>0.4562</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61893</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>0.0676</X>
<Y>0.4569</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.61996</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>0.0696</X>
<Y>0.4576</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62097</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>0.0716</X>
<Y>0.4583</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62201</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>0.0736</X>
<Y>0.4590</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62313</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>0.0756</X>
<Y>0.4596</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62436</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>0.0777</X>
<Y>0.4602</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62574</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>0.0797</X>
<Y>0.4607</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62723</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>0.0818</X>
<Y>0.4613</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.62881</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>0.0839</X>
<Y>0.4618</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63039</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>0.0860</X>
<Y>0.4622</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63190</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>0.0881</X>
<Y>0.4627</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63328</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>0.0902</X>
<Y>0.4631</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63447</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>0.0923</X>
<Y>0.4634</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63549</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>0.0944</X>
<Y>0.4638</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63637</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>0.0966</X>
<Y>0.4641</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63716</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>0.0987</X>
<Y>0.4644</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63790</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>0.1008</X>
<Y>0.4646</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63864</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>0.1030</X>
<Y>0.4648</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.63940</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>0.1052</X>
<Y>0.4650</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64020</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>0.1073</X>
<Y>0.4651</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64103</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>0.1095</X>
<Y>0.4653</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64189</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>0.1117</X>
<Y>0.4653</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64276</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>0.1138</X>
<Y>0.4654</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64362</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>0.1160</X>
<Y>0.4654</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64444</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>0.1182</X>
<Y>0.4654</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64520</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>0.1204</X>
<Y>0.4653</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64589</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>0.1225</X>
<Y>0.4653</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64650</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>0.1247</X>
<Y>0.4651</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64705</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>0.1269</X>
<Y>0.4650</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64756</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>0.1291</X>
<Y>0.4648</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64808</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>0.1312</X>
<Y>0.4646</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64867</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>0.1334</X>
<Y>0.4644</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.64936</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>0.1356</X>
<Y>0.4641</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65017</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>0.1378</X>
<Y>0.4638</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65110</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>0.1399</X>
<Y>0.4634</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65210</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>0.1421</X>
<Y>0.4630</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65311</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>0.1442</X>
<Y>0.4626</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65407</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>0.1464</X>
<Y>0.4622</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65491</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>0.1485</X>
<Y>0.4617</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65561</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>0.1506</X>
<Y>0.4612</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65614</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>0.1527</X>
<Y>0.4606</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65653</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>0.1549</X>
<Y>0.4601</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65682</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>0.1570</X>
<Y>0.4594</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65706</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>0.1591</X>
<Y>0.4588</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65730</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>0.1611</X>
<Y>0.4581</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65756</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>0.1632</X>
<Y>0.4574</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65785</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>0.1653</X>
<Y>0.4567</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65818</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>0.1673</X>
<Y>0.4559</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65855</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>0.1693</X>
<Y>0.4551</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65893</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>0.1714</X>
<Y>0.4543</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65931</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>0.1734</X>
<Y>0.4534</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65966</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>0.1753</X>
<Y>0.4525</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.65995</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>0.1773</X>
<Y>0.4516</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66018</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>0.1793</X>
<Y>0.4506</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66034</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>0.1812</X>
<Y>0.4496</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66043</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>0.1831</X>
<Y>0.4486</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66047</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>0.1851</X>
<Y>0.4475</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66052</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>0.1869</X>
<Y>0.4465</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66062</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>0.1888</X>
<Y>0.4453</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66082</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>0.1907</X>
<Y>0.4442</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66115</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>0.1925</X>
<Y>0.4430</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66160</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>0.1943</X>
<Y>0.4418</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66214</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>0.1961</X>
<Y>0.4406</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66271</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>0.1979</X>
<Y>0.4393</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66323</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>0.1996</X>
<Y>0.4380</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66368</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>0.2013</X>
<Y>0.4367</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66401</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>0.2030</X>
<Y>0.4354</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66423</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>0.2047</X>
<Y>0.4340</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66436</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>0.2064</X>
<Y>0.4326</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66444</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>0.2080</X>
<Y>0.4312</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66452</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>0.2096</X>
<Y>0.4297</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66463</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>0.2112</X>
<Y>0.4283</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66480</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>0.2127</X>
<Y>0.4268</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66504</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>0.2142</X>
<Y>0.4252</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66536</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>0.2157</X>
<Y>0.4237</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66573</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>0.2172</X>
<Y>0.4221</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66614</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>0.2186</X>
<Y>0.4205</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66657</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>0.2200</X>
<Y>0.4189</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66699</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>0.2214</X>
<Y>0.4173</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66738</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>0.2228</X>
<Y>0.4156</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66773</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>0.2241</X>
<Y>0.4139</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66805</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>0.2254</X>
<Y>0.4122</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66834</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>0.2267</X>
<Y>0.4104</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66861</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>0.2279</X>
<Y>0.4087</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66892</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>0.2291</X>
<Y>0.4069</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66931</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>0.2303</X>
<Y>0.4051</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.66983</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>0.2314</X>
<Y>0.4033</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67052</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>0.2325</X>
<Y>0.4015</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67139</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>0.2336</X>
<Y>0.3996</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67238</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>0.2346</X>
<Y>0.3977</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67341</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>0.2356</X>
<Y>0.3958</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67440</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>0.2366</X>
<Y>0.3939</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67527</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>0.2375</X>
<Y>0.3920</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67598</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>0.2384</X>
<Y>0.3901</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67650</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>0.2393</X>
<Y>0.3881</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67685</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>0.2401</X>
<Y>0.3861</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67705</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>0.2409</X>
<Y>0.3842</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67713</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>0.2417</X>
<Y>0.3822</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67717</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>0.2424</X>
<Y>0.3801</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67727</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>0.2431</X>
<Y>0.3781</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67743</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>0.2438</X>
<Y>0.3761</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67762</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>0.2444</X>
<Y>0.3740</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67789</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>0.2450</X>
<Y>0.3720</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67819</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>0.2455</X>
<Y>0.3699</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67854</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>0.2460</X>
<Y>0.3678</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67893</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>0.2465</X>
<Y>0.3657</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67930</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>0.2469</X>
<Y>0.3636</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.67966</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>0.2473</X>
<Y>0.3615</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68000</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>0.2476</X>
<Y>0.3594</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68035</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>0.2480</X>
<Y>0.3572</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68068</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>0.2482</X>
<Y>0.3551</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68102</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>0.2485</X>
<Y>0.3530</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68143</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>0.2487</X>
<Y>0.3508</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68199</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>0.2488</X>
<Y>0.3487</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68278</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>0.2490</X>
<Y>0.3465</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68376</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>0.2490</X>
<Y>0.3443</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68497</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>0.2491</X>
<Y>0.3422</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68634</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>0.2491</X>
<Y>0.3400</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68773</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>0.2491</X>
<Y>0.3378</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.68902</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>0.2490</X>
<Y>0.3357</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69014</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>0.2489</X>
<Y>0.3335</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69106</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>0.2487</X>
<Y>0.3313</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69180</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>0.2485</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69241</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>0.2483</X>
<Y>0.3270</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69292</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>0.2480</X>
<Y>0.3248</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69349</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>0.2477</X>
<Y>0.3226</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69412</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>0.2474</X>
<Y>0.3205</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69488</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>0.2470</X>
<Y>0.3183</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69572</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>0.2466</X>
<Y>0.3161</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69669</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>0.2461</X>
<Y>0.3140</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69770</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>0.2456</X>
<Y>0.3118</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69877</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>0.2451</X>
<Y>0.3097</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.69985</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>0.2445</X>
<Y>0.3075</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70091</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>0.2439</X>
<Y>0.3054</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70193</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>0.2432</X>
<Y>0.3033</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>57284</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2425</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>57285</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2418</X>
<Y>0.2991</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70463</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>57286</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2410</X>
<Y>0.2970</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>57287</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2402</X>
<Y>0.2949</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70650</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>57288</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2394</X>
<Y>0.2928</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70756</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>57289</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2385</X>
<Y>0.2907</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.70878</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>57290</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2376</X>
<Y>0.2887</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.71017</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>57291</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2366</X>
<Y>0.2866</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.71167</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>57292</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2356</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.71332</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>57293</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2346</X>
<Y>0.2826</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.71508</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>57294</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2335</X>
<Y>0.2805</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.71679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>57295</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2324</X>
<Y>0.2786</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.71838</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>57296</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2313</X>
<Y>0.2766</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.71977</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>57297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2301</X>
<Y>0.2746</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72092</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>57298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2289</X>
<Y>0.2727</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72183</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>57299</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2276</X>
<Y>0.2707</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72257</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>57300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2263</X>
<Y>0.2688</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72326</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>57301</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2250</X>
<Y>0.2669</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72405</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>57302</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2237</X>
<Y>0.2651</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72491</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>57303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2223</X>
<Y>0.2632</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72579</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>57304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2209</X>
<Y>0.2614</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>57305</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2194</X>
<Y>0.2595</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72786</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>57306</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2179</X>
<Y>0.2577</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.72901</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>57307</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2164</X>
<Y>0.2560</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73020</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>57308</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2149</X>
<Y>0.2542</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73143</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>57309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2133</X>
<Y>0.2525</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73268</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>57310</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2117</X>
<Y>0.2508</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73387</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>57311</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2101</X>
<Y>0.2491</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73494</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>57312</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2084</X>
<Y>0.2474</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73591</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>57313</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2067</X>
<Y>0.2458</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73681</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>57314</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2049</X>
<Y>0.2441</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73765</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>57315</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2032</X>
<Y>0.2425</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73850</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>57316</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.2410</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.73947</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>57317</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1996</X>
<Y>0.2394</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.74060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>57318</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1977</X>
<Y>0.2379</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.74191</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>57319</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1959</X>
<Y>0.2364</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.74344</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>57320</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1940</X>
<Y>0.2350</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.74518</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>57321</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1920</X>
<Y>0.2335</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.74697</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>57322</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1901</X>
<Y>0.2321</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.74872</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>57323</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1881</X>
<Y>0.2307</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75034</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>57324</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1861</X>
<Y>0.2294</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75171</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>57325</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1841</X>
<Y>0.2281</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75282</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>57326</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1820</X>
<Y>0.2268</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>57327</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1800</X>
<Y>0.2255</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75460</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>57328</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1779</X>
<Y>0.2243</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75537</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>57329</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1757</X>
<Y>0.2231</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75616</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>57330</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1736</X>
<Y>0.2219</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75704</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>57331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1714</X>
<Y>0.2208</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75804</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>57332</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1693</X>
<Y>0.2197</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.75915</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>57333</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1671</X>
<Y>0.2186</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.76034</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>57334</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1648</X>
<Y>0.2176</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.76156</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>57335</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1626</X>
<Y>0.2166</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.76280</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>57336</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1604</X>
<Y>0.2156</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.76409</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>57337</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1581</X>
<Y>0.2146</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.76534</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>57338</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1558</X>
<Y>0.2137</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.76655</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>57339</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1535</X>
<Y>0.2129</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.76773</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>57340</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1512</X>
<Y>0.2120</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.76888</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>57341</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1488</X>
<Y>0.2112</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.76999</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>57342</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1465</X>
<Y>0.2104</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.77113</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>57343</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1441</X>
<Y>0.2097</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.77234</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>57344</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1417</X>
<Y>0.2090</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.77367</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>57345</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1393</X>
<Y>0.2083</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.77515</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>57346</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1369</X>
<Y>0.2077</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.77682</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>57347</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1345</X>
<Y>0.2071</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.77861</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>57348</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1321</X>
<Y>0.2066</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.78041</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>57349</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1297</X>
<Y>0.2061</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.78219</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>57350</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1272</X>
<Y>0.2056</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.78388</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>57351</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1248</X>
<Y>0.2051</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.78540</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>57352</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1223</X>
<Y>0.2047</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.78673</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>57353</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1198</X>
<Y>0.2043</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.78793</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>57354</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1174</X>
<Y>0.2040</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.78904</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>57355</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1149</X>
<Y>0.2037</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79011</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>57356</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1124</X>
<Y>0.2035</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>57357</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1099</X>
<Y>0.2032</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79230</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>57358</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1074</X>
<Y>0.2030</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79342</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>57359</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1049</X>
<Y>0.2029</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79456</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>57360</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1024</X>
<Y>0.2028</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79568</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>57361</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0999</X>
<Y>0.2027</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79681</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>57362</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0974</X>
<Y>0.2027</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79789</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>57363</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0949</X>
<Y>0.2027</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79889</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>57364</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0924</X>
<Y>0.2027</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.79982</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>57365</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0899</X>
<Y>0.2028</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80063</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>57366</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0874</X>
<Y>0.2029</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80135</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57367</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0849</X>
<Y>0.2031</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80200</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57368</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0824</X>
<Y>0.2033</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80258</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57369</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0799</X>
<Y>0.2035</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80313</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57370</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0774</X>
<Y>0.2038</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80380</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57371</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0749</X>
<Y>0.2041</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80457</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57372</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0725</X>
<Y>0.2045</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80550</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57373</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0700</X>
<Y>0.2049</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80659</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57374</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0675</X>
<Y>0.2053</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80786</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57375</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0651</X>
<Y>0.2058</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.80928</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57376</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0626</X>
<Y>0.2063</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.81074</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57377</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0602</X>
<Y>0.2068</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.81216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>57378</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0578</X>
<Y>0.2074</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.81346</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>57379</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0553</X>
<Y>0.2080</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.81464</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57380</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0529</X>
<Y>0.2086</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.81575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57381</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0505</X>
<Y>0.2093</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.81673</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57382</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0481</X>
<Y>0.2101</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.81771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57383</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0458</X>
<Y>0.2108</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.81872</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57384</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0434</X>
<Y>0.2116</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.81977</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57385</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0411</X>
<Y>0.2125</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.82085</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57386</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0388</X>
<Y>0.2133</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.82199</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57387</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0364</X>
<Y>0.2143</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.82314</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57388</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0342</X>
<Y>0.2152</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.82427</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>