<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>BulletinA</product>
<date>2013-01-10</date>
<volume>XXVI</volume>
<number>002</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>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>56276</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.37</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.45</dEpsilon>
<sigma_dEpsilon>0.08</sigma_dEpsilon>
<dX>0.170</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.219</dY>
<sigma_dY>0.080</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>56277</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.41</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.44</dEpsilon>
<sigma_dEpsilon>0.08</sigma_dEpsilon>
<dX>0.196</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.219</dY>
<sigma_dY>0.080</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>56278</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.15</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.59</dEpsilon>
<sigma_dEpsilon>0.07</sigma_dEpsilon>
<dX>0.198</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.222</dY>
<sigma_dY>0.070</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>56279</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-74.82</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.70</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.196</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.193</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>56280</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-74.80</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.59</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.203</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.175</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>56281</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.09</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.37</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.209</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.189</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>56282</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.37</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.26</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.202</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.206</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>56283</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.42</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.31</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.203</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.193</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>56284</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.36</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.38</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.219</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.176</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>56285</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.35</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.41</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.236</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.147</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>56286</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.34</dPsi>
<sigma_dPsi>0.14</sigma_dPsi>
<dEpsilon>-8.43</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.254</dX>
<sigma_dX>0.056</sigma_dX>
<dY>0.115</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>56287</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.24</dPsi>
<sigma_dPsi>0.14</sigma_dPsi>
<dEpsilon>-8.46</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.277</dX>
<sigma_dX>0.056</sigma_dX>
<dY>0.101</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2012</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>56288</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-75.07</dPsi>
<sigma_dPsi>0.14</sigma_dPsi>
<dEpsilon>-8.47</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.305</dX>
<sigma_dX>0.056</sigma_dX>
<dY>0.104</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>56296</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.07014</X>
<sigma_X>.00010</sigma_X>
<Y>0.28958</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.273863</UT1-UTC>
<sigma_UT1-UTC>0.000007</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>56297</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.06910</X>
<sigma_X>.00010</sigma_X>
<Y>0.28955</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.272657</UT1-UTC>
<sigma_UT1-UTC>0.000007</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>56298</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.06821</X>
<sigma_X>.00010</sigma_X>
<Y>0.28969</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.271467</UT1-UTC>
<sigma_UT1-UTC>0.000008</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>56299</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.06729</X>
<sigma_X>.00010</sigma_X>
<Y>0.29004</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.270395</UT1-UTC>
<sigma_UT1-UTC>0.000008</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>56300</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.06636</X>
<sigma_X>.00010</sigma_X>
<Y>0.29058</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.269460</UT1-UTC>
<sigma_UT1-UTC>0.000008</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>56301</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.06543</X>
<sigma_X>.00010</sigma_X>
<Y>0.29132</Y>
<sigma_Y>.00010</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.268628</UT1-UTC>
<sigma_UT1-UTC>0.000008</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>56302</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.06443</X>
<sigma_X>.00010</sigma_X>
<Y>0.29213</Y>
<sigma_Y>.00010</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.267799</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>56303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0634</X>
<Y>0.2929</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26686</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>56304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0623</X>
<Y>0.2936</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26578</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>56305</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0613</X>
<Y>0.2943</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26455</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>56306</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0602</X>
<Y>0.2949</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>56307</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0591</X>
<Y>0.2956</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26183</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>56308</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0581</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>56309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0570</X>
<Y>0.2969</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25913</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>56310</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0560</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25793</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>56311</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0551</X>
<Y>0.2984</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25687</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>56312</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0541</X>
<Y>0.2992</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25593</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>56313</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0533</X>
<Y>0.3000</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>56314</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0524</X>
<Y>0.3008</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25440</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>56315</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0516</X>
<Y>0.3016</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25378</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>56316</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0508</X>
<Y>0.3025</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25321</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>56317</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0500</X>
<Y>0.3034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25261</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>56318</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0493</X>
<Y>0.3043</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25193</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>56319</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0485</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25115</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>56320</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0478</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25022</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>56321</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0471</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24916</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>56322</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0464</X>
<Y>0.3081</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24798</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>56323</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0458</X>
<Y>0.3090</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24672</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>56324</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0452</X>
<Y>0.3100</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24546</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>56325</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0446</X>
<Y>0.3110</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24426</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>56326</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0440</X>
<Y>0.3120</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24316</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>56327</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0434</X>
<Y>0.3131</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24217</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>56328</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0429</X>
<Y>0.3141</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24127</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>56329</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0424</X>
<Y>0.3151</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24042</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>56330</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0419</X>
<Y>0.3162</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23955</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>56331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0415</X>
<Y>0.3173</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23859</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>56332</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0410</X>
<Y>0.3183</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23748</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>56333</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0406</X>
<Y>0.3194</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23621</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>56334</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0402</X>
<Y>0.3205</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23480</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>56335</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0399</X>
<Y>0.3216</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23331</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>56336</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0396</X>
<Y>0.3227</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23184</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>56337</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0393</X>
<Y>0.3238</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23043</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>56338</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0390</X>
<Y>0.3250</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22913</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>56339</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0387</X>
<Y>0.3261</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22795</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>56340</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0385</X>
<Y>0.3272</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22688</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>56341</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0383</X>
<Y>0.3283</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22591</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>56342</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0381</X>
<Y>0.3295</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22500</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>56343</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0380</X>
<Y>0.3306</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22413</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>56344</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0379</X>
<Y>0.3318</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22324</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>56345</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0378</X>
<Y>0.3329</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22229</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>56346</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0377</X>
<Y>0.3341</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22123</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>56347</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0377</X>
<Y>0.3353</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22004</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>56348</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0377</X>
<Y>0.3364</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21870</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>56349</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0377</X>
<Y>0.3376</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21721</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>56350</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0377</X>
<Y>0.3387</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21562</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>56351</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0378</X>
<Y>0.3399</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>56352</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0379</X>
<Y>0.3411</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21239</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>56353</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0380</X>
<Y>0.3422</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21089</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>56354</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0381</X>
<Y>0.3434</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20953</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>56355</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0383</X>
<Y>0.3446</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20830</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>56356</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0385</X>
<Y>0.3457</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20715</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>56357</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0387</X>
<Y>0.3469</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20603</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>56358</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0390</X>
<Y>0.3480</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>56359</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0392</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>56360</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0395</X>
<Y>0.3503</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>56361</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0399</X>
<Y>0.3515</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20061</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>56362</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0402</X>
<Y>0.3526</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19898</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>56363</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0406</X>
<Y>0.3538</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19734</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>56364</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0410</X>
<Y>0.3549</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19574</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>56365</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0414</X>
<Y>0.3560</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19425</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>56366</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0419</X>
<Y>0.3571</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>56367</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0424</X>
<Y>0.3582</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19165</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>56368</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0429</X>
<Y>0.3593</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19054</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>56369</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0434</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>56370</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0440</X>
<Y>0.3615</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18856</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>56371</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0445</X>
<Y>0.3626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18759</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>56372</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0452</X>
<Y>0.3637</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18658</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>56373</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0458</X>
<Y>0.3648</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18546</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>56374</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0464</X>
<Y>0.3658</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18421</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>56375</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0471</X>
<Y>0.3669</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18281</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>56376</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0478</X>
<Y>0.3679</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18124</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>56377</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0485</X>
<Y>0.3689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17955</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>56378</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0493</X>
<Y>0.3700</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17777</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>56379</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0501</X>
<Y>0.3710</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17598</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>56380</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0509</X>
<Y>0.3720</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17426</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>56381</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0517</X>
<Y>0.3729</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17265</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>56382</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0525</X>
<Y>0.3739</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17118</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>56383</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0534</X>
<Y>0.3749</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16982</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>56384</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0543</X>
<Y>0.3758</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16851</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>56385</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0552</X>
<Y>0.3767</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16719</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>56386</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0561</X>
<Y>0.3776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16580</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>56387</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0571</X>
<Y>0.3785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16430</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>56388</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0580</X>
<Y>0.3794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16270</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>56389</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0590</X>
<Y>0.3803</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16101</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>56390</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0600</X>
<Y>0.3812</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15929</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>56391</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0611</X>
<Y>0.3820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15760</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>56392</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0621</X>
<Y>0.3828</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>56393</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0632</X>
<Y>0.3836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15450</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>56394</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0643</X>
<Y>0.3844</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15315</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>56395</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0654</X>
<Y>0.3852</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>56396</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0665</X>
<Y>0.3860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15084</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>56397</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0676</X>
<Y>0.3867</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>56398</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0688</X>
<Y>0.3874</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14881</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>56399</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0700</X>
<Y>0.3881</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14779</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>56400</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0712</X>
<Y>0.3888</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14672</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>56401</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0724</X>
<Y>0.3895</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>56402</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0736</X>
<Y>0.3901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>56403</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0749</X>
<Y>0.3908</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14278</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>56404</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0761</X>
<Y>0.3914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14119</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>56405</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0774</X>
<Y>0.3920</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13951</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>56406</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0787</X>
<Y>0.3925</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13779</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>56407</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0800</X>
<Y>0.3931</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13610</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>56408</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0813</X>
<Y>0.3936</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13452</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>56409</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0826</X>
<Y>0.3941</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13308</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>56410</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0840</X>
<Y>0.3946</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>56411</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0853</X>
<Y>0.3951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13059</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>56412</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0867</X>
<Y>0.3955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12942</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>56413</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0881</X>
<Y>0.3959</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>56414</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0895</X>
<Y>0.3963</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>56415</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0909</X>
<Y>0.3967</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>56416</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0923</X>
<Y>0.3971</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12412</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>56417</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0937</X>
<Y>0.3974</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12268</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>56418</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0951</X>
<Y>0.3977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12128</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>56419</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0966</X>
<Y>0.3980</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>56420</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0980</X>
<Y>0.3982</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11878</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>56421</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0995</X>
<Y>0.3985</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11774</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>56422</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1009</X>
<Y>0.3987</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11684</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>56423</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1024</X>
<Y>0.3989</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11608</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>56424</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1039</X>
<Y>0.3991</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11542</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>56425</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1053</X>
<Y>0.3992</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11481</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>56426</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1068</X>
<Y>0.3993</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11421</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>56427</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1083</X>
<Y>0.3994</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11359</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>56428</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1098</X>
<Y>0.3995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>56429</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1113</X>
<Y>0.3996</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11210</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>56430</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1128</X>
<Y>0.3996</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11118</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>56431</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1143</X>
<Y>0.3996</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11015</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>56432</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1158</X>
<Y>0.3996</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10903</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>56433</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1173</X>
<Y>0.3995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10784</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>56434</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1188</X>
<Y>0.3995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10665</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>56435</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1204</X>
<Y>0.3994</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>56436</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1219</X>
<Y>0.3992</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10452</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>56437</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1234</X>
<Y>0.3991</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10365</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>56438</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1249</X>
<Y>0.3989</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10288</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>56439</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1264</X>
<Y>0.3987</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10215</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>56440</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1279</X>
<Y>0.3985</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10140</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>56441</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1294</X>
<Y>0.3983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10057</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>56442</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1309</X>
<Y>0.3980</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09965</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>56443</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1324</X>
<Y>0.3977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09867</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>56444</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1339</X>
<Y>0.3974</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09768</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>56445</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1354</X>
<Y>0.3971</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09674</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>56446</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1369</X>
<Y>0.3967</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09590</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>56447</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1384</X>
<Y>0.3963</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09519</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>56448</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1399</X>
<Y>0.3959</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09462</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>56449</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1413</X>
<Y>0.3955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09420</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>56450</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1428</X>
<Y>0.3950</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09392</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>56451</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1443</X>
<Y>0.3945</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>56452</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1457</X>
<Y>0.3940</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09365</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>56453</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1472</X>
<Y>0.3935</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>56454</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1486</X>
<Y>0.3929</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09348</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>56455</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1500</X>
<Y>0.3923</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09333</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>56456</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1514</X>
<Y>0.3917</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09310</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>56457</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1528</X>
<Y>0.3911</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09276</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>56458</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1542</X>
<Y>0.3904</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09231</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>56459</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1556</X>
<Y>0.3898</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09177</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>56460</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1570</X>
<Y>0.3891</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09117</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>56461</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1584</X>
<Y>0.3884</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09055</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>56462</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1597</X>
<Y>0.3876</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>56463</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1610</X>
<Y>0.3868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08947</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>56464</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1624</X>
<Y>0.3861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08908</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>56465</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1637</X>
<Y>0.3853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>56466</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1650</X>
<Y>0.3844</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08857</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>56467</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1662</X>
<Y>0.3836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08833</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>56468</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1675</X>
<Y>0.3827</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08801</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>56469</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1687</X>
<Y>0.3818</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08758</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>56470</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1700</X>
<Y>0.3809</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08705</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>56471</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1712</X>
<Y>0.3800</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08649</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>56472</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1724</X>
<Y>0.3790</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08596</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>56473</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1736</X>
<Y>0.3780</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08552</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>56474</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1747</X>
<Y>0.3770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08522</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>56475</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1759</X>
<Y>0.3760</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08506</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>56476</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1770</X>
<Y>0.3750</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08506</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>56477</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1781</X>
<Y>0.3739</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08520</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>56478</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1792</X>
<Y>0.3729</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08545</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>56479</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1802</X>
<Y>0.3718</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08577</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>56480</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1813</X>
<Y>0.3707</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08613</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>56481</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1823</X>
<Y>0.3695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08646</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>56482</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1833</X>
<Y>0.3684</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08673</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>56483</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1843</X>
<Y>0.3672</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>56484</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1853</X>
<Y>0.3661</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08699</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>56485</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1862</X>
<Y>0.3649</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08695</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>56486</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1871</X>
<Y>0.3637</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08681</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>56487</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1880</X>
<Y>0.3624</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08658</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>56488</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1889</X>
<Y>0.3612</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08632</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>56489</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1897</X>
<Y>0.3599</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08606</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>56490</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1905</X>
<Y>0.3587</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08584</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>56491</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1913</X>
<Y>0.3574</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08569</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>56492</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1921</X>
<Y>0.3561</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08561</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>56493</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1928</X>
<Y>0.3548</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08556</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>56494</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1936</X>
<Y>0.3535</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08548</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>56495</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1943</X>
<Y>0.3521</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08530</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>56496</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1949</X>
<Y>0.3508</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08497</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>56497</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1956</X>
<Y>0.3494</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08448</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>56498</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1962</X>
<Y>0.3480</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08386</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>56499</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1968</X>
<Y>0.3466</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08319</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>56500</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.3453</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08256</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>56501</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1979</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08204</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>56502</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1984</X>
<Y>0.3424</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08168</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>56503</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1989</X>
<Y>0.3410</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>56504</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1993</X>
<Y>0.3396</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08146</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>56505</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1998</X>
<Y>0.3381</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08158</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>56506</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2002</X>
<Y>0.3367</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08182</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>56507</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.3352</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08213</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>56508</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2009</X>
<Y>0.3338</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08245</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>56509</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2012</X>
<Y>0.3323</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08276</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>56510</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
<Y>0.3308</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>56511</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2017</X>
<Y>0.3293</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08314</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>56512</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2019</X>
<Y>0.3278</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08317</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>56513</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2021</X>
<Y>0.3264</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08309</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>56514</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2023</X>
<Y>0.3249</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08291</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>56515</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2024</X>
<Y>0.3234</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08267</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>56516</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2025</X>
<Y>0.3219</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08241</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>56517</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2026</X>
<Y>0.3203</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08217</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>56518</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3188</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08197</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>56519</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3173</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08183</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>56520</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3158</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08172</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>56521</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2026</X>
<Y>0.3143</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08158</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>56522</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2025</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08131</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>56523</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2024</X>
<Y>0.3113</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08085</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>56524</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2023</X>
<Y>0.3098</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08018</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>56525</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2021</X>
<Y>0.3082</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07931</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>56526</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2019</X>
<Y>0.3067</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07832</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>56527</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2017</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07733</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>56528</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
<Y>0.3037</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07641</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>56529</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2012</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07560</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>56530</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2008</X>
<Y>0.3007</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07492</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>56531</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.2992</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>56532</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2001</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07397</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>56533</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1997</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07357</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>56534</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1993</X>
<Y>0.2947</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07317</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>56535</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1988</X>
<Y>0.2933</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07281</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>56536</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1983</X>
<Y>0.2918</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07243</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>56537</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.2903</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07198</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>56538</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.2889</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07137</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>56539</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1966</X>
<Y>0.2874</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07054</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>56540</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1960</X>
<Y>0.2860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06959</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>56541</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1954</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06855</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>56542</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1947</X>
<Y>0.2831</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06750</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>56543</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1940</X>
<Y>0.2817</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06651</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>56544</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1932</X>
<Y>0.2803</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06559</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>56545</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1925</X>
<Y>0.2789</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06475</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>56546</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1917</X>
<Y>0.2775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>56547</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1909</X>
<Y>0.2761</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06327</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>56548</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1900</X>
<Y>0.2748</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06255</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>56549</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1891</X>
<Y>0.2734</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06180</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>56550</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1882</X>
<Y>0.2721</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06095</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>56551</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1873</X>
<Y>0.2708</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05999</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>56552</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1863</X>
<Y>0.2695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05889</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>56553</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1853</X>
<Y>0.2682</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05768</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>56554</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1843</X>
<Y>0.2669</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05639</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>56555</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1833</X>
<Y>0.2656</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05510</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>56556</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1822</X>
<Y>0.2644</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05386</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>56557</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1811</X>
<Y>0.2632</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05278</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>56558</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1800</X>
<Y>0.2619</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05185</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>56559</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1788</X>
<Y>0.2607</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05112</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>56560</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1777</X>
<Y>0.2596</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05051</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>56561</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1765</X>
<Y>0.2584</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>56562</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1752</X>
<Y>0.2573</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04944</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>56563</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1740</X>
<Y>0.2561</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04885</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>56564</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1727</X>
<Y>0.2550</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04818</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>56565</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1714</X>
<Y>0.2539</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04745</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>56566</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1701</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04657</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>56567</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1688</X>
<Y>0.2518</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04555</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>56568</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1674</X>
<Y>0.2508</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04442</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>56569</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1660</X>
<Y>0.2498</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04326</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>56570</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1646</X>
<Y>0.2488</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04209</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>56571</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1632</X>
<Y>0.2478</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04095</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>56572</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1617</X>
<Y>0.2469</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03989</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>56573</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1603</X>
<Y>0.2460</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03894</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>56574</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1588</X>
<Y>0.2451</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03807</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>56575</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1572</X>
<Y>0.2442</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03718</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>56576</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1557</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03620</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>56577</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1542</X>
<Y>0.2425</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03511</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>56578</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1526</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03392</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>56579</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1510</X>
<Y>0.2410</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03262</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>56580</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1494</X>
<Y>0.2402</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03119</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>56581</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1478</X>
<Y>0.2395</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02970</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>56582</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1461</X>
<Y>0.2388</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02822</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>56583</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1445</X>
<Y>0.2381</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02682</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>56584</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1428</X>
<Y>0.2375</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>56585</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1411</X>
<Y>0.2368</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02444</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>56586</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1394</X>
<Y>0.2362</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02347</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>56587</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1377</X>
<Y>0.2357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>56588</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1360</X>
<Y>0.2351</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02189</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>56589</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1342</X>
<Y>0.2346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02114</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>56590</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1325</X>
<Y>0.2341</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02034</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>56591</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1307</X>
<Y>0.2336</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01953</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>56592</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1289</X>
<Y>0.2332</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01867</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>56593</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1271</X>
<Y>0.2328</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01776</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>56594</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1253</X>
<Y>0.2324</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01674</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>56595</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1235</X>
<Y>0.2321</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01561</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>56596</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1217</X>
<Y>0.2318</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>56597</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1198</X>
<Y>0.2315</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01302</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>56598</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1180</X>
<Y>0.2312</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01160</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>56599</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1161</X>
<Y>0.2310</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01024</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>56600</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1143</X>
<Y>0.2308</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00890</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>56601</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1124</X>
<Y>0.2306</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00763</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>56602</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1105</X>
<Y>0.2304</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00640</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>56603</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1087</X>
<Y>0.2303</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00518</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>56604</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1068</X>
<Y>0.2302</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00392</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>56605</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1049</X>
<Y>0.2302</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00259</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>56606</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1030</X>
<Y>0.2301</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00117</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>56607</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1011</X>
<Y>0.2302</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>56608</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0992</X>
<Y>0.2302</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00184</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>56609</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0973</X>
<Y>0.2303</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00333</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>56610</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0954</X>
<Y>0.2303</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00477</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>56611</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0935</X>
<Y>0.2305</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00607</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>56612</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0916</X>
<Y>0.2306</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>56613</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0897</X>
<Y>0.2308</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00828</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>56614</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0878</X>
<Y>0.2310</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00931</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>56615</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0859</X>
<Y>0.2313</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01028</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>56616</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0840</X>
<Y>0.2316</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01123</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>56617</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0821</X>
<Y>0.2319</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01220</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>56618</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0802</X>
<Y>0.2322</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01316</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>56619</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0783</X>
<Y>0.2326</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01409</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>56620</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0764</X>
<Y>0.2330</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01504</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>56621</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0745</X>
<Y>0.2334</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01605</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>56622</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0726</X>
<Y>0.2339</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01708</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>56623</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0708</X>
<Y>0.2344</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01815</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>56624</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0689</X>
<Y>0.2349</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01921</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>56625</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0670</X>
<Y>0.2354</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02014</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>56626</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0652</X>
<Y>0.2360</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02097</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>56627</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0633</X>
<Y>0.2366</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02169</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>56628</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0615</X>
<Y>0.2373</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02233</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>56629</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0597</X>
<Y>0.2379</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>56630</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0579</X>
<Y>0.2386</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02344</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>56631</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0560</X>
<Y>0.2394</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02402</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>56632</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0543</X>
<Y>0.2401</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02467</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>56633</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0525</X>
<Y>0.2409</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02539</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>56634</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0507</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02620</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>56635</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0489</X>
<Y>0.2426</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02708</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>56636</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0472</X>
<Y>0.2435</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02795</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>56637</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0455</X>
<Y>0.2444</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02872</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>56638</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0437</X>
<Y>0.2453</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>56639</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0420</X>
<Y>0.2463</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02991</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>56640</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0404</X>
<Y>0.2473</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>56641</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0387</X>
<Y>0.2483</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03067</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>56642</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0370</X>
<Y>0.2493</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03098</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>56643</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0354</X>
<Y>0.2504</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03127</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>56644</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0338</X>
<Y>0.2515</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03157</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>56645</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0322</X>
<Y>0.2526</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03187</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>56646</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0306</X>
<Y>0.2538</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>56647</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0290</X>
<Y>0.2550</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03266</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>56648</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0275</X>
<Y>0.2562</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03320</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>56649</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0260</X>
<Y>0.2574</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03391</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>56650</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0245</X>
<Y>0.2587</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03480</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>56651</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0230</X>
<Y>0.2599</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03579</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>56652</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0215</X>
<Y>0.2612</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03680</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>56653</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0201</X>
<Y>0.2626</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>56654</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0187</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03883</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>56655</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0173</X>
<Y>0.2653</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03978</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>56656</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0159</X>
<Y>0.2667</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04067</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2013</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>56657</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0146</X>
<Y>0.2681</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04152</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>56658</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0133</X>
<Y>0.2696</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04231</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>56659</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0120</X>
<Y>0.2711</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04316</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>56660</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0107</X>
<Y>0.2726</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04417</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>56661</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0095</X>
<Y>0.2741</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04529</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>56662</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0083</X>
<Y>0.2756</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04645</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>56663</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0071</X>
<Y>0.2772</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04763</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>56664</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.2787</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04883</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>56665</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0048</X>
<Y>0.2803</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04992</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>56666</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0037</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05087</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>56667</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0026</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05174</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>