<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers">
<version>
<product>BulletinA</product>
<date>2013-06-13</date>
<volume>XXVI</volume>
<number>024</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>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>56435</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-75.63</dPsi>
<sigma_dPsi>0.31</sigma_dPsi>
<dEpsilon>-13.26</dEpsilon>
<sigma_dEpsilon>0.10</sigma_dEpsilon>
<dX>0.115</dX>
<sigma_dX>0.123</sigma_dX>
<dY>-0.338</dY>
<sigma_dY>0.100</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>56436</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-75.71</dPsi>
<sigma_dPsi>0.31</sigma_dPsi>
<dEpsilon>-13.09</dEpsilon>
<sigma_dEpsilon>0.10</sigma_dEpsilon>
<dX>0.128</dX>
<sigma_dX>0.123</sigma_dX>
<dY>-0.298</dY>
<sigma_dY>0.100</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>56437</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-75.75</dPsi>
<sigma_dPsi>0.31</sigma_dPsi>
<dEpsilon>-13.24</dEpsilon>
<sigma_dEpsilon>0.10</sigma_dEpsilon>
<dX>0.111</dX>
<sigma_dX>0.123</sigma_dX>
<dY>-0.262</dY>
<sigma_dY>0.100</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>56438</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-75.76</dPsi>
<sigma_dPsi>0.13</sigma_dPsi>
<dEpsilon>-13.54</dEpsilon>
<sigma_dEpsilon>0.10</sigma_dEpsilon>
<dX>0.070</dX>
<sigma_dX>0.052</sigma_dX>
<dY>-0.247</dY>
<sigma_dY>0.100</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>56439</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-75.74</dPsi>
<sigma_dPsi>0.21</sigma_dPsi>
<dEpsilon>-13.72</dEpsilon>
<sigma_dEpsilon>0.09</sigma_dEpsilon>
<dX>0.027</dX>
<sigma_dX>0.084</sigma_dX>
<dY>-0.272</dY>
<sigma_dY>0.090</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>56440</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-75.72</dPsi>
<sigma_dPsi>0.28</sigma_dPsi>
<dEpsilon>-13.70</dEpsilon>
<sigma_dEpsilon>0.08</sigma_dEpsilon>
<dX>0.005</dX>
<sigma_dX>0.111</sigma_dX>
<dY>-0.313</dY>
<sigma_dY>0.080</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>56441</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-75.77</dPsi>
<sigma_dPsi>0.21</sigma_dPsi>
<dEpsilon>-13.58</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>-0.008</dX>
<sigma_dX>0.084</sigma_dX>
<dY>-0.317</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>56442</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-75.94</dPsi>
<sigma_dPsi>0.21</sigma_dPsi>
<dEpsilon>-13.46</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>-0.016</dX>
<sigma_dX>0.084</sigma_dX>
<dY>-0.285</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>56443</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-76.27</dPsi>
<sigma_dPsi>0.21</sigma_dPsi>
<dEpsilon>-13.34</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>-0.031</dX>
<sigma_dX>0.084</sigma_dX>
<dY>-0.236</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>56450</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.11510</X>
<sigma_X>.00009</sigma_X>
<Y>0.40380</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.070812</UT1-UTC>
<sigma_UT1-UTC>0.000020</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>56451</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.11568</X>
<sigma_X>.00009</sigma_X>
<Y>0.40295</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.070644</UT1-UTC>
<sigma_UT1-UTC>0.000021</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>56452</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.11642</X>
<sigma_X>.00010</sigma_X>
<Y>0.40210</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.070555</UT1-UTC>
<sigma_UT1-UTC>0.000027</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>56453</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.11735</X>
<sigma_X>.00009</sigma_X>
<Y>0.40144</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.070447</UT1-UTC>
<sigma_UT1-UTC>0.000025</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>56454</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.11830</X>
<sigma_X>.00010</sigma_X>
<Y>0.40104</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.070262</UT1-UTC>
<sigma_UT1-UTC>0.000024</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>56455</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.11935</X>
<sigma_X>.00010</sigma_X>
<Y>0.40062</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.070045</UT1-UTC>
<sigma_UT1-UTC>0.000023</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2013</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>56456</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.12072</X>
<sigma_X>.00009</sigma_X>
<Y>0.40006</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.069758</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_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>0.1222</X>
<Y>0.3996</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06925</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>0.1236</X>
<Y>0.3991</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06857</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>0.1251</X>
<Y>0.3986</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06778</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>0.1265</X>
<Y>0.3981</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06691</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>0.1278</X>
<Y>0.3976</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06602</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>0.1291</X>
<Y>0.3971</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06518</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>0.1304</X>
<Y>0.3965</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06444</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>0.1317</X>
<Y>0.3959</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06381</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>0.1330</X>
<Y>0.3954</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06329</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>0.1343</X>
<Y>0.3948</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06280</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>0.1356</X>
<Y>0.3942</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06229</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>0.1369</X>
<Y>0.3936</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06170</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>0.1382</X>
<Y>0.3930</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06106</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>0.1395</X>
<Y>0.3924</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06036</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>0.1408</X>
<Y>0.3917</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05966</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>0.1421</X>
<Y>0.3910</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05901</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>0.1434</X>
<Y>0.3903</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05849</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>0.1447</X>
<Y>0.3896</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05814</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>0.1460</X>
<Y>0.3888</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05796</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>0.1473</X>
<Y>0.3880</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05793</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>0.1485</X>
<Y>0.3872</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05801</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>0.1498</X>
<Y>0.3864</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05817</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>0.1510</X>
<Y>0.3856</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05837</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>0.1522</X>
<Y>0.3848</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05857</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>0.1534</X>
<Y>0.3839</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05872</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>0.1546</X>
<Y>0.3830</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05880</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>0.1558</X>
<Y>0.3821</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05877</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>0.1570</X>
<Y>0.3812</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05862</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>0.1581</X>
<Y>0.3802</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05835</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>0.1593</X>
<Y>0.3792</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05796</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>0.1604</X>
<Y>0.3783</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05749</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>0.1615</X>
<Y>0.3773</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05699</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>0.1626</X>
<Y>0.3762</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05649</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>0.1636</X>
<Y>0.3752</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05606</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>0.1647</X>
<Y>0.3741</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05571</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>0.1657</X>
<Y>0.3730</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05545</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>0.1667</X>
<Y>0.3719</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05524</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>0.1677</X>
<Y>0.3708</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05502</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>0.1687</X>
<Y>0.3697</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05473</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>0.1696</X>
<Y>0.3686</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05431</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>0.1705</X>
<Y>0.3674</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05375</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>0.1714</X>
<Y>0.3662</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05309</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>0.1723</X>
<Y>0.3650</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05241</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>0.1731</X>
<Y>0.3638</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05177</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>0.1739</X>
<Y>0.3626</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05126</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>0.1747</X>
<Y>0.3613</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05089</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>0.1755</X>
<Y>0.3601</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05067</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>0.1763</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05058</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>0.1770</X>
<Y>0.3575</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05060</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>0.1777</X>
<Y>0.3563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05069</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>0.1784</X>
<Y>0.3550</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05082</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>0.1790</X>
<Y>0.3536</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05092</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>0.1796</X>
<Y>0.3523</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05097</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>0.1802</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05092</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>0.1808</X>
<Y>0.3496</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05076</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>0.1813</X>
<Y>0.3483</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05046</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>0.1818</X>
<Y>0.3469</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05005</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>0.1823</X>
<Y>0.3455</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04954</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>0.1828</X>
<Y>0.3441</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04898</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>0.1832</X>
<Y>0.3427</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04841</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>0.1836</X>
<Y>0.3413</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04788</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>0.1840</X>
<Y>0.3399</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04742</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>0.1843</X>
<Y>0.3385</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04702</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>0.1846</X>
<Y>0.3371</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04668</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>0.1849</X>
<Y>0.3357</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04633</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>0.1852</X>
<Y>0.3342</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04592</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>0.1854</X>
<Y>0.3328</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04538</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>0.1856</X>
<Y>0.3313</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04467</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>0.1858</X>
<Y>0.3299</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04381</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>0.1859</X>
<Y>0.3284</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04287</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>0.1860</X>
<Y>0.3270</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04191</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>0.1861</X>
<Y>0.3255</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04104</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>0.1861</X>
<Y>0.3241</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04029</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>0.1861</X>
<Y>0.3226</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03969</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>0.1861</X>
<Y>0.3211</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03924</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>0.1861</X>
<Y>0.3197</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03891</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>0.1860</X>
<Y>0.3182</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03866</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>0.1859</X>
<Y>0.3167</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03845</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>0.1858</X>
<Y>0.3153</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03822</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>0.1856</X>
<Y>0.3138</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03794</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>0.1854</X>
<Y>0.3123</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03755</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>0.1852</X>
<Y>0.3109</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03702</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>0.1849</X>
<Y>0.3094</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03634</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>0.1846</X>
<Y>0.3080</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03551</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>0.1843</X>
<Y>0.3065</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03456</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>0.1840</X>
<Y>0.3051</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03354</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>0.1836</X>
<Y>0.3036</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03249</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>0.1832</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03148</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>0.1828</X>
<Y>0.3008</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03053</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>0.1823</X>
<Y>0.2993</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02967</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>0.1818</X>
<Y>0.2979</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02888</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>0.1813</X>
<Y>0.2965</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02811</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>0.1807</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02730</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>0.1801</X>
<Y>0.2937</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02638</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>0.1795</X>
<Y>0.2923</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02532</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>0.1789</X>
<Y>0.2910</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02410</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>0.1782</X>
<Y>0.2896</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02275</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>0.1775</X>
<Y>0.2882</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02133</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>0.1768</X>
<Y>0.2869</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01994</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>0.1760</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01863</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>0.1752</X>
<Y>0.2842</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01746</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>0.1744</X>
<Y>0.2829</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01645</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>0.1736</X>
<Y>0.2816</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01556</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>0.1727</X>
<Y>0.2803</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01478</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>0.1718</X>
<Y>0.2790</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01406</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>0.1709</X>
<Y>0.2778</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01336</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>0.1699</X>
<Y>0.2765</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01262</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>0.1690</X>
<Y>0.2753</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01181</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>0.1680</X>
<Y>0.2740</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01084</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>0.1669</X>
<Y>0.2728</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00975</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>0.1659</X>
<Y>0.2717</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00852</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>0.1648</X>
<Y>0.2705</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00716</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>0.1637</X>
<Y>0.2693</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00572</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>0.1625</X>
<Y>0.2682</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00423</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>0.1614</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00275</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>0.1602</X>
<Y>0.2660</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00134</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>0.1590</X>
<Y>0.2649</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00002</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>0.1578</X>
<Y>0.2638</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00120</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>0.1565</X>
<Y>0.2627</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00238</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>0.1552</X>
<Y>0.2617</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00357</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>0.1539</X>
<Y>0.2607</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00483</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>0.2597</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00621</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>0.1513</X>
<Y>0.2587</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00772</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>0.1499</X>
<Y>0.2578</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00936</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>0.1485</X>
<Y>0.2569</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01107</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>0.1471</X>
<Y>0.2560</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01279</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>0.1457</X>
<Y>0.2551</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01446</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>0.1442</X>
<Y>0.2542</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01602</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>0.1428</X>
<Y>0.2534</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01744</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>0.1413</X>
<Y>0.2526</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01872</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>0.1398</X>
<Y>0.2518</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01987</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>0.1383</X>
<Y>0.2510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02094</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>0.1367</X>
<Y>0.2502</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02197</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>0.1352</X>
<Y>0.2495</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02300</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>0.1336</X>
<Y>0.2488</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02407</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>0.1320</X>
<Y>0.2481</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02522</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>0.1304</X>
<Y>0.2475</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02649</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>0.1288</X>
<Y>0.2469</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02787</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>0.1271</X>
<Y>0.2463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02936</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>0.1255</X>
<Y>0.2457</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03096</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>0.1238</X>
<Y>0.2451</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03260</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>0.1221</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03426</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>0.1204</X>
<Y>0.2441</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03586</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>0.1187</X>
<Y>0.2437</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03738</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>0.1170</X>
<Y>0.2432</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03878</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>0.1153</X>
<Y>0.2428</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04011</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>0.1136</X>
<Y>0.2424</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04140</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>0.1118</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04273</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>0.1101</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04415</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>0.1083</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04566</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>0.1065</X>
<Y>0.2411</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04727</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>0.1047</X>
<Y>0.2409</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04894</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>0.1029</X>
<Y>0.2407</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05060</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>0.1011</X>
<Y>0.2405</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05220</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>0.0993</X>
<Y>0.2403</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05370</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>0.0975</X>
<Y>0.2402</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05507</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>0.0957</X>
<Y>0.2401</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05628</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>0.0939</X>
<Y>0.2400</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05736</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>0.0921</X>
<Y>0.2400</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05833</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>0.0902</X>
<Y>0.2399</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05924</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>0.0884</X>
<Y>0.2399</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06013</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>0.0866</X>
<Y>0.2400</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06104</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>0.0847</X>
<Y>0.2401</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06201</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>0.0829</X>
<Y>0.2402</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06306</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>0.0810</X>
<Y>0.2403</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06421</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>0.0792</X>
<Y>0.2404</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06546</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>0.0774</X>
<Y>0.2406</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06681</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>0.0755</X>
<Y>0.2408</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06821</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>0.0737</X>
<Y>0.2411</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06965</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>0.0719</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07107</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>0.0700</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07242</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>0.0682</X>
<Y>0.2420</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07368</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>0.0664</X>
<Y>0.2424</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07486</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>0.0645</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07600</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>0.0627</X>
<Y>0.2432</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07716</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>0.0609</X>
<Y>0.2436</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07840</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>0.0591</X>
<Y>0.2441</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07975</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>0.0573</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08121</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>0.0555</X>
<Y>0.2451</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08274</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>0.0537</X>
<Y>0.2457</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08426</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>0.0520</X>
<Y>0.2463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08573</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>0.0502</X>
<Y>0.2469</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08710</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>0.0485</X>
<Y>0.2476</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08835</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>0.0467</X>
<Y>0.2482</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08948</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>0.0450</X>
<Y>0.2489</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09048</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>0.0433</X>
<Y>0.2497</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09140</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>0.0415</X>
<Y>0.2504</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09227</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>0.0398</X>
<Y>0.2512</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09312</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>0.0382</X>
<Y>0.2521</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09400</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>0.0365</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09493</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>0.0348</X>
<Y>0.2538</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09593</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>0.0332</X>
<Y>0.2547</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09700</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>0.0316</X>
<Y>0.2556</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09814</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>0.0299</X>
<Y>0.2566</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09931</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>0.0283</X>
<Y>0.2575</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10050</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>0.0268</X>
<Y>0.2585</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10167</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>0.0252</X>
<Y>0.2596</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10278</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>0.0237</X>
<Y>0.2606</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10379</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>0.0221</X>
<Y>0.2617</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10471</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>0.0206</X>
<Y>0.2628</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10554</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>0.0191</X>
<Y>0.2640</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10632</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>0.0177</X>
<Y>0.2651</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10712</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>0.0162</X>
<Y>0.2663</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10802</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>0.0148</X>
<Y>0.2675</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10907</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>0.0134</X>
<Y>0.2687</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11029</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>0.0120</X>
<Y>0.2700</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11165</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>0.0106</X>
<Y>0.2712</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11307</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>0.0093</X>
<Y>0.2725</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11447</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>0.0080</X>
<Y>0.2739</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11579</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>0.0067</X>
<Y>0.2752</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11701</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>0.0054</X>
<Y>0.2766</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11811</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>56668</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0042</X>
<Y>0.2779</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11910</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>56669</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0030</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11998</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>56670</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0018</X>
<Y>0.2808</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12080</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>56671</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0006</X>
<Y>0.2822</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12159</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>56672</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0005</X>
<Y>0.2837</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12239</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>56673</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0017</X>
<Y>0.2852</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12325</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>56674</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0027</X>
<Y>0.2867</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12422</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>56675</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0038</X>
<Y>0.2882</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12530</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>56676</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0048</X>
<Y>0.2897</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12650</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>56677</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0058</X>
<Y>0.2913</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12780</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>56678</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0068</X>
<Y>0.2929</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12919</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>56679</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0078</X>
<Y>0.2944</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>56680</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0087</X>
<Y>0.2960</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>56681</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0096</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13320</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>56682</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0104</X>
<Y>0.2993</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>56683</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0113</X>
<Y>0.3010</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13543</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>56684</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0121</X>
<Y>0.3026</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13637</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>56685</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0128</X>
<Y>0.3043</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13726</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>56686</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0135</X>
<Y>0.3060</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13813</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>56687</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0143</X>
<Y>0.3077</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13904</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>56688</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0149</X>
<Y>0.3094</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>56689</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0156</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14140</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>56690</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0162</X>
<Y>0.3129</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14283</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>56691</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0167</X>
<Y>0.3146</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14426</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>56692</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0173</X>
<Y>0.3164</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14566</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>56693</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0178</X>
<Y>0.3182</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>56694</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0183</X>
<Y>0.3200</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14799</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>56695</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0187</X>
<Y>0.3218</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14888</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>56696</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0191</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14965</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>56697</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0195</X>
<Y>0.3254</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15029</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>56698</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0198</X>
<Y>0.3272</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15088</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>56699</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0201</X>
<Y>0.3290</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15142</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>56700</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0204</X>
<Y>0.3308</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15198</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>56701</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0206</X>
<Y>0.3327</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15259</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>56702</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0208</X>
<Y>0.3345</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15328</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>56703</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0210</X>
<Y>0.3363</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15404</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>56704</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0211</X>
<Y>0.3382</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>56705</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0212</X>
<Y>0.3400</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>56706</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0213</X>
<Y>0.3419</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15666</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>56707</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0213</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15763</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>56708</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0213</X>
<Y>0.3456</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15859</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>56709</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0212</X>
<Y>0.3475</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15954</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>56710</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0212</X>
<Y>0.3493</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.16050</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>56711</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0210</X>
<Y>0.3512</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.16142</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>56712</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0209</X>
<Y>0.3531</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.16236</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>56713</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0207</X>
<Y>0.3549</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.16337</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>56714</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0205</X>
<Y>0.3568</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.16450</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>56715</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0202</X>
<Y>0.3586</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.16578</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>56716</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0199</X>
<Y>0.3605</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.16724</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>56717</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0196</X>
<Y>0.3623</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.16887</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>56718</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0192</X>
<Y>0.3642</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.17060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>56719</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0188</X>
<Y>0.3660</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.17229</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>56720</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0183</X>
<Y>0.3679</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.17387</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>56721</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0179</X>
<Y>0.3697</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.17525</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>56722</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0174</X>
<Y>0.3715</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.17647</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>56723</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0168</X>
<Y>0.3733</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.17756</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>56724</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0162</X>
<Y>0.3752</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.17855</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>56725</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0156</X>
<Y>0.3770</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.17947</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>56726</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0149</X>
<Y>0.3788</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.18039</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>56727</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0143</X>
<Y>0.3806</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.18140</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>56728</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0135</X>
<Y>0.3823</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.18254</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>56729</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0128</X>
<Y>0.3841</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.18383</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>56730</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0120</X>
<Y>0.3859</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.18524</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>56731</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0111</X>
<Y>0.3876</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.18678</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>56732</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0103</X>
<Y>0.3893</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.18836</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>56733</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0094</X>
<Y>0.3911</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.18993</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>56734</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0085</X>
<Y>0.3928</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.19148</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>56735</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0075</X>
<Y>0.3945</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.19299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>56736</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0065</X>
<Y>0.3962</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.19444</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>56737</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0055</X>
<Y>0.3978</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.19580</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>56738</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0044</X>
<Y>0.3995</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.19718</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>56739</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0033</X>
<Y>0.4011</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.19858</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>56740</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0022</X>
<Y>0.4028</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.20000</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>56741</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0010</X>
<Y>0.4044</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.20153</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>56742</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0002</X>
<Y>0.4060</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.20319</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>56743</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0014</X>
<Y>0.4075</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.20506</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>56744</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0027</X>
<Y>0.4091</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.20706</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>56745</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0040</X>
<Y>0.4106</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.20909</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>56746</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0053</X>
<Y>0.4122</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.21113</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>56747</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0067</X>
<Y>0.4137</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.21312</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>56748</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0080</X>
<Y>0.4151</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.21494</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>56749</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0095</X>
<Y>0.4166</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.21656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>56750</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0109</X>
<Y>0.4180</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.21796</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>56751</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0124</X>
<Y>0.4195</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.21928</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>56752</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0139</X>
<Y>0.4209</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.22048</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>56753</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0154</X>
<Y>0.4222</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.22161</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>56754</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0170</X>
<Y>0.4236</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.22280</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>56755</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0186</X>
<Y>0.4249</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.22407</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>56756</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0202</X>
<Y>0.4262</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.22538</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>56757</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0218</X>
<Y>0.4275</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.22675</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>56758</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0235</X>
<Y>0.4288</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.22826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>56759</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0252</X>
<Y>0.4300</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.22984</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>56760</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0269</X>
<Y>0.4312</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.23151</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>56761</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0286</X>
<Y>0.4324</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.23321</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>56762</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0304</X>
<Y>0.4335</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.23484</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>56763</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0322</X>
<Y>0.4347</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.23634</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>56764</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0340</X>
<Y>0.4358</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.23771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>56765</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0358</X>
<Y>0.4368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.23899</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>56766</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0377</X>
<Y>0.4379</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.24020</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>56767</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0396</X>
<Y>0.4389</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.24142</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>56768</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0415</X>
<Y>0.4399</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.24265</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>56769</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0434</X>
<Y>0.4409</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.24397</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>56770</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0454</X>
<Y>0.4418</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.24541</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>56771</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0473</X>
<Y>0.4427</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.24698</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>56772</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0493</X>
<Y>0.4436</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.24865</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>56773</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0513</X>
<Y>0.4444</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.25040</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>56774</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0534</X>
<Y>0.4452</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.25214</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>56775</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0554</X>
<Y>0.4460</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.25379</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>56776</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0575</X>
<Y>0.4468</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.25528</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>56777</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0595</X>
<Y>0.4475</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.25660</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>56778</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0616</X>
<Y>0.4482</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.25780</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>56779</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0638</X>
<Y>0.4488</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.25891</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>56780</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0659</X>
<Y>0.4495</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.25990</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>56781</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0680</X>
<Y>0.4500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.26085</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>56782</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0702</X>
<Y>0.4506</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.26183</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>56783</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0723</X>
<Y>0.4511</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.26291</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>56784</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0745</X>
<Y>0.4516</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.26410</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>56785</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0767</X>
<Y>0.4521</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.26537</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>56786</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0789</X>
<Y>0.4525</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.26669</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>56787</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0811</X>
<Y>0.4529</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.26812</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>56788</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0834</X>
<Y>0.4533</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.26960</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>56789</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0856</X>
<Y>0.4536</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.27108</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>56790</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0878</X>
<Y>0.4539</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.27249</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>56791</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0901</X>
<Y>0.4541</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.27381</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>56792</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0924</X>
<Y>0.4544</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.27504</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>56793</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0946</X>
<Y>0.4546</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.27619</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>56794</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0969</X>
<Y>0.4547</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.27723</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>56795</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0992</X>
<Y>0.4548</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.27827</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>56796</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1015</X>
<Y>0.4549</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.27937</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>56797</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1038</X>
<Y>0.4550</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.28057</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>56798</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1061</X>
<Y>0.4550</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.28191</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>56799</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1084</X>
<Y>0.4549</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.28337</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>56800</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1107</X>
<Y>0.4549</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.28488</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>56801</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1130</X>
<Y>0.4548</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.28637</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>56802</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1153</X>
<Y>0.4547</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.28770</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>56803</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1176</X>
<Y>0.4545</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.28889</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>56804</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1199</X>
<Y>0.4543</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.28983</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>56805</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1222</X>
<Y>0.4541</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29053</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>56806</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1245</X>
<Y>0.4538</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29110</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>56807</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1268</X>
<Y>0.4535</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29153</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>56808</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1291</X>
<Y>0.4531</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29185</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>56809</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1314</X>
<Y>0.4528</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29224</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>56810</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1337</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29267</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>56811</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1360</X>
<Y>0.4519</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29313</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>56812</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1383</X>
<Y>0.4514</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29362</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>56813</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1405</X>
<Y>0.4509</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29411</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>56814</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1428</X>
<Y>0.4503</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29462</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>56815</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1451</X>
<Y>0.4498</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29510</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>56816</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1473</X>
<Y>0.4491</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29557</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>56817</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1496</X>
<Y>0.4485</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29605</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>56818</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1518</X>
<Y>0.4478</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29646</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>56819</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1540</X>
<Y>0.4470</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>56820</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1563</X>
<Y>0.4463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29704</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2014</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>56821</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1585</X>
<Y>0.4455</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.29722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>
