<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>BulletinA</product>
<date>2017-03-30</date>
<volume>XXX</volume>
<number>013</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>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57820</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-99.95</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.24</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>-0.221</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.043</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57821</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-99.62</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.28</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>-0.260</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.056</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57822</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-99.30</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.29</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>-0.288</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.068</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>57823</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-99.11</dPsi>
<sigma_dPsi>0.14</sigma_dPsi>
<dEpsilon>-11.34</dEpsilon>
<sigma_dEpsilon>0.04</sigma_dEpsilon>
<dX>-0.290</dX>
<sigma_dX>0.056</sigma_dX>
<dY>-0.063</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>57824</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-99.08</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-11.49</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>-0.289</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.060</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>57825</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-99.08</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-11.70</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>-0.285</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.080</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57826</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-99.09</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.83</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>-0.289</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.089</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57836</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.00547</X>
<sigma_X>.00009</sigma_X>
<Y>0.36479</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.484854</UT1-UTC>
<sigma_UT1-UTC>0.000012</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57837</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.00505</X>
<sigma_X>.00009</sigma_X>
<Y>0.36669</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.483369</UT1-UTC>
<sigma_UT1-UTC>0.000012</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57838</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.00490</X>
<sigma_X>.00009</sigma_X>
<Y>0.36844</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.481707</UT1-UTC>
<sigma_UT1-UTC>0.000013</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57839</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.00493</X>
<sigma_X>.00009</sigma_X>
<Y>0.37024</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.479897</UT1-UTC>
<sigma_UT1-UTC>0.000013</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57840</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.00504</X>
<sigma_X>.00009</sigma_X>
<Y>0.37197</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.477987</UT1-UTC>
<sigma_UT1-UTC>0.000013</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57841</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.00523</X>
<sigma_X>.00009</sigma_X>
<Y>0.37353</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.475997</UT1-UTC>
<sigma_UT1-UTC>0.000013</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57842</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.00535</X>
<sigma_X>.00009</sigma_X>
<Y>0.37506</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>0.474022</UT1-UTC>
<sigma_UT1-UTC>0.000013</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57843</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0055</X>
<Y>0.3765</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47218</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57844</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.3780</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47050</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57845</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.3794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46899</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57846</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0063</X>
<Y>0.3809</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46762</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57847</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0067</X>
<Y>0.3823</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46635</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>57848</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0072</X>
<Y>0.3838</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46513</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>57849</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0077</X>
<Y>0.3853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46388</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>57850</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0083</X>
<Y>0.3869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46257</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>57851</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0089</X>
<Y>0.3884</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46118</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57852</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0095</X>
<Y>0.3899</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45973</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>57853</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0103</X>
<Y>0.3915</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>57854</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0110</X>
<Y>0.3931</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45669</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>57855</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0117</X>
<Y>0.3947</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45521</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>57856</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0124</X>
<Y>0.3963</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45381</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57857</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0131</X>
<Y>0.3979</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45250</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57858</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0139</X>
<Y>0.3994</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45127</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57859</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0146</X>
<Y>0.4010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45013</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57860</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0154</X>
<Y>0.4025</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57861</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0161</X>
<Y>0.4039</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44803</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>57862</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0169</X>
<Y>0.4054</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44697</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57863</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0178</X>
<Y>0.4068</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44583</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>57864</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0186</X>
<Y>0.4081</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44457</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>57865</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0195</X>
<Y>0.4094</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44317</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57866</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0204</X>
<Y>0.4108</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44160</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57867</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0214</X>
<Y>0.4121</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43989</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57868</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0224</X>
<Y>0.4133</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43809</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57869</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0234</X>
<Y>0.4146</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43628</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57870</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0244</X>
<Y>0.4158</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43456</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>57871</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0255</X>
<Y>0.4171</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43298</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>57872</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0266</X>
<Y>0.4183</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43158</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>57873</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0277</X>
<Y>0.4195</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43032</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>57874</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0289</X>
<Y>0.4207</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42915</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>57875</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0301</X>
<Y>0.4219</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42799</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>57876</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0313</X>
<Y>0.4231</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42680</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>57877</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0325</X>
<Y>0.4242</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>57878</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0338</X>
<Y>0.4254</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42422</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>57879</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0350</X>
<Y>0.4265</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42286</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>57880</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0363</X>
<Y>0.4276</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>57881</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0376</X>
<Y>0.4287</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42015</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>57882</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0389</X>
<Y>0.4298</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41888</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>57883</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0402</X>
<Y>0.4308</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>57884</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0416</X>
<Y>0.4319</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41666</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>57885</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0429</X>
<Y>0.4329</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41573</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>57886</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0443</X>
<Y>0.4338</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>57887</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0457</X>
<Y>0.4348</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41416</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>57888</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0471</X>
<Y>0.4357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41346</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>57889</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0485</X>
<Y>0.4366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41277</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>57890</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0499</X>
<Y>0.4374</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41204</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>57891</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0514</X>
<Y>0.4383</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41122</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>57892</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0529</X>
<Y>0.4391</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41028</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>57893</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0544</X>
<Y>0.4399</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40918</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>57894</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0559</X>
<Y>0.4407</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40794</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>57895</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0574</X>
<Y>0.4415</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>57896</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0589</X>
<Y>0.4422</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>57897</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0605</X>
<Y>0.4429</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40369</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>57898</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0620</X>
<Y>0.4436</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40236</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>57899</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0636</X>
<Y>0.4443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40118</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>57900</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0652</X>
<Y>0.4449</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40016</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>57901</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0668</X>
<Y>0.4455</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39926</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>57902</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0684</X>
<Y>0.4461</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39842</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>57903</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0700</X>
<Y>0.4467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39758</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>57904</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0716</X>
<Y>0.4472</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39671</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>57905</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0732</X>
<Y>0.4478</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39580</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>57906</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0749</X>
<Y>0.4482</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>57907</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0765</X>
<Y>0.4487</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39392</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>57908</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0782</X>
<Y>0.4492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39302</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>57909</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0798</X>
<Y>0.4496</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39218</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>57910</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0815</X>
<Y>0.4500</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>57911</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0831</X>
<Y>0.4503</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39081</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>57912</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0848</X>
<Y>0.4507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39029</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>57913</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0865</X>
<Y>0.4510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38988</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>57914</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0882</X>
<Y>0.4513</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38955</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>57915</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0898</X>
<Y>0.4515</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38929</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>57916</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0915</X>
<Y>0.4518</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38904</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>57917</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0932</X>
<Y>0.4520</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38877</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>57918</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0949</X>
<Y>0.4521</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38842</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>57919</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0966</X>
<Y>0.4523</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38798</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>57920</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0983</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>57921</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1000</X>
<Y>0.4525</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38672</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>57922</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1017</X>
<Y>0.4526</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38591</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>57923</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1034</X>
<Y>0.4527</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38501</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>57924</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1051</X>
<Y>0.4527</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38408</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>57925</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1068</X>
<Y>0.4527</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38320</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>57926</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1085</X>
<Y>0.4527</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38243</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>57927</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1102</X>
<Y>0.4526</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>57928</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1119</X>
<Y>0.4525</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38127</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>57929</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1136</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38082</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>57930</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1152</X>
<Y>0.4523</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.38038</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>57931</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1169</X>
<Y>0.4521</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37990</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>57932</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1186</X>
<Y>0.4519</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37936</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>57933</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1203</X>
<Y>0.4517</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37877</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>57934</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1219</X>
<Y>0.4515</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37817</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>57935</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1236</X>
<Y>0.4512</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37760</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57936</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1252</X>
<Y>0.4510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37709</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>57937</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1269</X>
<Y>0.4506</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37666</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>57938</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1285</X>
<Y>0.4503</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37634</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>57939</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1301</X>
<Y>0.4499</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37614</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>57940</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1317</X>
<Y>0.4496</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37605</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>57941</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1333</X>
<Y>0.4491</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37605</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>57942</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1349</X>
<Y>0.4487</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37611</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57943</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1365</X>
<Y>0.4482</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37620</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57944</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1381</X>
<Y>0.4478</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37627</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57945</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1397</X>
<Y>0.4472</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37627</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57946</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1412</X>
<Y>0.4467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37617</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>57947</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1428</X>
<Y>0.4462</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37594</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>57948</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1443</X>
<Y>0.4456</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37557</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>57949</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1458</X>
<Y>0.4450</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37508</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>57950</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1473</X>
<Y>0.4443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37451</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>57951</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1488</X>
<Y>0.4437</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37394</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>57952</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1503</X>
<Y>0.4430</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37339</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>57953</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1517</X>
<Y>0.4423</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37290</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57954</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1532</X>
<Y>0.4416</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37252</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57955</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1546</X>
<Y>0.4409</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37225</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>57956</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1560</X>
<Y>0.4401</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37203</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>57957</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1574</X>
<Y>0.4393</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37183</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>57958</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1588</X>
<Y>0.4385</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37156</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>57959</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1602</X>
<Y>0.4377</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>57960</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1615</X>
<Y>0.4368</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37076</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>57961</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1629</X>
<Y>0.4359</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.37025</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>57962</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1642</X>
<Y>0.4351</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36974</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57963</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1655</X>
<Y>0.4341</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36927</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>57964</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1667</X>
<Y>0.4332</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36886</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>57965</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1680</X>
<Y>0.4323</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36856</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>57966</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1692</X>
<Y>0.4313</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36836</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>57967</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1705</X>
<Y>0.4303</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>57968</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1717</X>
<Y>0.4293</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36824</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>57969</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1728</X>
<Y>0.4283</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36828</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>57970</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1740</X>
<Y>0.4272</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36834</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>57971</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1751</X>
<Y>0.4262</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36837</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>57972</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1762</X>
<Y>0.4251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36833</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>57973</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1773</X>
<Y>0.4240</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36818</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>57974</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1784</X>
<Y>0.4229</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>57975</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1794</X>
<Y>0.4218</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36743</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>57976</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1805</X>
<Y>0.4206</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36684</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>57977</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1815</X>
<Y>0.4195</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36614</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>57978</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1824</X>
<Y>0.4183</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36539</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>57979</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1834</X>
<Y>0.4171</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36465</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>57980</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1843</X>
<Y>0.4159</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>57981</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1852</X>
<Y>0.4147</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36335</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>57982</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1861</X>
<Y>0.4134</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36284</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>57983</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1870</X>
<Y>0.4122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36239</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>57984</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1878</X>
<Y>0.4109</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>57985</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1886</X>
<Y>0.4097</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>57986</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1894</X>
<Y>0.4084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36082</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>57987</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1902</X>
<Y>0.4071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.36009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>57988</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1909</X>
<Y>0.4058</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35926</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>57989</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1916</X>
<Y>0.4045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35836</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>57990</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1923</X>
<Y>0.4031</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35747</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>57991</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1929</X>
<Y>0.4018</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35662</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>57992</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1936</X>
<Y>0.4005</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35585</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>57993</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1942</X>
<Y>0.3991</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35519</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>57994</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1947</X>
<Y>0.3977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35462</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>57995</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1953</X>
<Y>0.3964</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35414</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>57996</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1958</X>
<Y>0.3950</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35371</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>57997</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1963</X>
<Y>0.3936</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35331</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>57998</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1967</X>
<Y>0.3922</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>57999</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.3908</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35239</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>58000</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1976</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1980</X>
<Y>0.3880</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35104</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1983</X>
<Y>0.3865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35012</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1987</X>
<Y>0.3851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34904</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1990</X>
<Y>0.3837</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1992</X>
<Y>0.3822</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34654</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1995</X>
<Y>0.3808</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34525</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1997</X>
<Y>0.3794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34402</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1999</X>
<Y>0.3779</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2000</X>
<Y>0.3765</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34187</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2002</X>
<Y>0.3750</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34092</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2003</X>
<Y>0.3736</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34000</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3721</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33904</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3706</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33799</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3692</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33682</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3677</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3663</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33415</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>58017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2003</X>
<Y>0.3648</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33274</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2002</X>
<Y>0.3634</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33135</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2001</X>
<Y>0.3619</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33003</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2000</X>
<Y>0.3605</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1998</X>
<Y>0.3590</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32769</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1996</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32667</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1994</X>
<Y>0.3561</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32574</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3547</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32485</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1988</X>
<Y>0.3533</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1985</X>
<Y>0.3518</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32302</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1982</X>
<Y>0.3504</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32199</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.3490</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32084</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1974</X>
<Y>0.3476</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1970</X>
<Y>0.3462</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31803</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1965</X>
<Y>0.3448</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31638</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.3434</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31464</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1956</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31286</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1951</X>
<Y>0.3407</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31113</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1945</X>
<Y>0.3393</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30951</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1939</X>
<Y>0.3379</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30803</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1933</X>
<Y>0.3366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30667</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1927</X>
<Y>0.3352</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30537</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1921</X>
<Y>0.3339</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30409</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1914</X>
<Y>0.3326</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30275</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1907</X>
<Y>0.3313</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30132</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1900</X>
<Y>0.3300</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29979</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1892</X>
<Y>0.3287</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29817</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1884</X>
<Y>0.3275</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29650</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1876</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29484</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1868</X>
<Y>0.3250</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29324</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1860</X>
<Y>0.3237</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29173</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1851</X>
<Y>0.3225</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1842</X>
<Y>0.3213</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28906</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1833</X>
<Y>0.3201</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28791</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1824</X>
<Y>0.3189</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28685</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1814</X>
<Y>0.3178</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28584</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1805</X>
<Y>0.3166</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28484</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1795</X>
<Y>0.3155</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28378</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1784</X>
<Y>0.3144</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28262</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1774</X>
<Y>0.3133</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28130</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1764</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27979</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1753</X>
<Y>0.3111</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27809</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1742</X>
<Y>0.3101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27621</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1731</X>
<Y>0.3091</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1719</X>
<Y>0.3080</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27223</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1708</X>
<Y>0.3070</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27031</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1696</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26852</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1684</X>
<Y>0.3051</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26687</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1672</X>
<Y>0.3042</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26536</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1660</X>
<Y>0.3032</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26393</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1648</X>
<Y>0.3023</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26253</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1635</X>
<Y>0.3015</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26108</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1622</X>
<Y>0.3006</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25953</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1610</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25789</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1597</X>
<Y>0.2989</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25623</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1584</X>
<Y>0.2981</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25454</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1570</X>
<Y>0.2974</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25283</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1557</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25118</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1543</X>
<Y>0.2959</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24964</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1530</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1516</X>
<Y>0.2944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24701</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1502</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24589</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1488</X>
<Y>0.2931</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24483</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1474</X>
<Y>0.2925</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24378</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1460</X>
<Y>0.2919</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24267</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1445</X>
<Y>0.2913</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1431</X>
<Y>0.2907</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24022</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1417</X>
<Y>0.2902</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1402</X>
<Y>0.2897</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23725</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1387</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23557</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>58087</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1373</X>
<Y>0.2887</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1358</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23186</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1343</X>
<Y>0.2878</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22992</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1328</X>
<Y>0.2874</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22805</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1313</X>
<Y>0.2871</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22630</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1298</X>
<Y>0.2867</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22470</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1283</X>
<Y>0.2864</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22319</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1267</X>
<Y>0.2861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22170</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1252</X>
<Y>0.2858</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22016</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>58096</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1237</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21853</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>58097</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1222</X>
<Y>0.2853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21685</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>58098</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1206</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21515</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>58099</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1191</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21350</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>58100</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1176</X>
<Y>0.2847</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>58101</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1160</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21046</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1145</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20913</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1130</X>
<Y>0.2844</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20798</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1114</X>
<Y>0.2843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20701</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1099</X>
<Y>0.2843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20620</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1084</X>
<Y>0.2842</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20550</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1068</X>
<Y>0.2843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20488</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1053</X>
<Y>0.2843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1038</X>
<Y>0.2843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20346</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1023</X>
<Y>0.2844</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20255</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1007</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20150</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0992</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20031</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0977</X>
<Y>0.2848</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19901</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0962</X>
<Y>0.2850</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19760</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0947</X>
<Y>0.2852</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19614</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0932</X>
<Y>0.2854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19467</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0917</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0902</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19181</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0887</X>
<Y>0.2862</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19048</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0873</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18924</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0858</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18795</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0844</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18653</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0829</X>
<Y>0.2876</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18502</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0815</X>
<Y>0.2880</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18344</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0801</X>
<Y>0.2884</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18180</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0786</X>
<Y>0.2888</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18011</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0772</X>
<Y>0.2893</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17841</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0758</X>
<Y>0.2898</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17676</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0745</X>
<Y>0.2903</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17517</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0731</X>
<Y>0.2909</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0717</X>
<Y>0.2914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17252</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0704</X>
<Y>0.2920</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17138</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0691</X>
<Y>0.2926</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17034</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0677</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0664</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16847</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0651</X>
<Y>0.2945</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16752</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0639</X>
<Y>0.2952</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16653</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0626</X>
<Y>0.2959</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16546</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0614</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16425</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0601</X>
<Y>0.2974</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16295</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0589</X>
<Y>0.2981</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16157</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0577</X>
<Y>0.2989</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16011</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0565</X>
<Y>0.2997</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15862</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0554</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15712</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0542</X>
<Y>0.3013</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15572</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0531</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0520</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15307</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0509</X>
<Y>0.3039</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15176</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0498</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15036</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0488</X>
<Y>0.3058</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14881</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0477</X>
<Y>0.3067</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14711</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0467</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14527</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0457</X>
<Y>0.3086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14331</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0448</X>
<Y>0.3096</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14132</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0438</X>
<Y>0.3106</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13938</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0429</X>
<Y>0.3116</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13754</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0420</X>
<Y>0.3126</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13583</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0411</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13421</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0402</X>
<Y>0.3147</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13267</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0394</X>
<Y>0.3158</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0386</X>
<Y>0.3169</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12979</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0378</X>
<Y>0.3180</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12834</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0370</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12681</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0362</X>
<Y>0.3202</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12520</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0355</X>
<Y>0.3213</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12343</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0348</X>
<Y>0.3225</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12150</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0341</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0334</X>
<Y>0.3248</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11709</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0328</X>
<Y>0.3260</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11470</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0322</X>
<Y>0.3271</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11235</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0316</X>
<Y>0.3283</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11011</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0310</X>
<Y>0.3295</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10799</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0305</X>
<Y>0.3307</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0300</X>
<Y>0.3319</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10407</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0295</X>
<Y>0.3332</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0290</X>
<Y>0.3344</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10023</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0286</X>
<Y>0.3356</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09823</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0282</X>
<Y>0.3369</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09614</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0278</X>
<Y>0.3381</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0274</X>
<Y>0.3394</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09184</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0271</X>
<Y>0.3407</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08973</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>58182</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0268</X>
<Y>0.3419</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08764</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0265</X>
<Y>0.3432</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08561</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0262</X>
<Y>0.3445</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08370</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0260</X>
<Y>0.3458</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08193</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0258</X>
<Y>0.3471</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08030</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0256</X>
<Y>0.3483</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07879</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>58188</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0254</X>
<Y>0.3496</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07735</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>58189</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0253</X>
<Y>0.3509</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07596</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>58190</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0252</X>
<Y>0.3522</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07460</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>58191</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0251</X>
<Y>0.3535</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07319</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>58192</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0251</X>
<Y>0.3548</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07164</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>58193</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0250</X>
<Y>0.3561</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06994</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0250</X>
<Y>0.3574</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06810</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>58195</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0251</X>
<Y>0.3587</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06618</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>58196</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0251</X>
<Y>0.3600</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>58197</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0252</X>
<Y>0.3613</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06225</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>58198</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0253</X>
<Y>0.3626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06026</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>58199</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0254</X>
<Y>0.3639</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05831</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>58200</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0256</X>
<Y>0.3652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05648</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0257</X>
<Y>0.3665</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05479</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0260</X>
<Y>0.3677</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05317</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>58203</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0262</X>
<Y>0.3690</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05154</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>58204</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0264</X>
<Y>0.3703</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04989</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>58205</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0267</X>
<Y>0.3716</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04811</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>58206</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0270</X>
<Y>0.3728</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04618</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>58207</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0274</X>
<Y>0.3741</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04413</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>