<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers">
<version>
<product>BulletinA</product>
<date>2018-02-08</date>
<volume>XXXI</volume>
<number>006</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>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-104.21</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.16</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.164</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.219</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-104.29</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.25</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.123</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.236</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-104.10</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.37</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.099</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.241</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.83</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.44</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>0.083</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.226</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.01405</X>
<sigma_X>.00009</sigma_X>
<Y>0.29012</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.195042</UT1-UTC>
<sigma_UT1-UTC>0.000021</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.01244</X>
<sigma_X>.00009</sigma_X>
<Y>0.29173</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.193465</UT1-UTC>
<sigma_UT1-UTC>0.000023</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.01053</X>
<sigma_X>.00009</sigma_X>
<Y>0.29343</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.191797</UT1-UTC>
<sigma_UT1-UTC>0.000022</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.00844</X>
<sigma_X>.00009</sigma_X>
<Y>0.29524</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.190125</UT1-UTC>
<sigma_UT1-UTC>0.000017</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.00686</X>
<sigma_X>.00009</sigma_X>
<Y>0.29668</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.188560</UT1-UTC>
<sigma_UT1-UTC>0.000016</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.00614</X>
<sigma_X>.00009</sigma_X>
<Y>0.29799</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.187147</UT1-UTC>
<sigma_UT1-UTC>0.000015</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.00566</X>
<sigma_X>.00009</sigma_X>
<Y>0.29961</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.185889</UT1-UTC>
<sigma_UT1-UTC>0.000012</sigma_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>0.0051</X>
<Y>0.3014</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18479</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>0.0044</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18385</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>0.0036</X>
<Y>0.3050</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18305</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>0.0027</X>
<Y>0.3068</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18232</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>0.0019</X>
<Y>0.3086</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18162</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>0.0011</X>
<Y>0.3104</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18092</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>0.0003</X>
<Y>0.3121</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18018</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>-0.0004</X>
<Y>0.3138</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17933</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>-0.0011</X>
<Y>0.3156</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17833</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>-0.0018</X>
<Y>0.3174</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17715</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>-0.0024</X>
<Y>0.3192</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17580</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>-0.0030</X>
<Y>0.3209</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17432</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>-0.0035</X>
<Y>0.3227</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17276</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>-0.0040</X>
<Y>0.3245</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17119</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>-0.0045</X>
<Y>0.3263</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16967</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>-0.0050</X>
<Y>0.3281</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16823</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>-0.0055</X>
<Y>0.3300</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16690</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>-0.0059</X>
<Y>0.3319</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16565</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>-0.0063</X>
<Y>0.3337</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16440</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>-0.0067</X>
<Y>0.3355</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16311</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>-0.0070</X>
<Y>0.3373</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16172</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>-0.0072</X>
<Y>0.3392</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16023</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>-0.0074</X>
<Y>0.3410</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15869</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>-0.0076</X>
<Y>0.3429</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15716</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>-0.0077</X>
<Y>0.3447</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15571</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>-0.0079</X>
<Y>0.3466</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15439</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>-0.0079</X>
<Y>0.3485</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15323</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>-0.0080</X>
<Y>0.3504</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15223</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>-0.0080</X>
<Y>0.3522</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15137</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>-0.0080</X>
<Y>0.3541</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15060</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>-0.0079</X>
<Y>0.3560</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14988</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>-0.0078</X>
<Y>0.3578</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14917</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>-0.0077</X>
<Y>0.3597</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14841</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>-0.0076</X>
<Y>0.3616</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14757</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>-0.0074</X>
<Y>0.3634</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14661</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>-0.0071</X>
<Y>0.3653</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14549</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>-0.0069</X>
<Y>0.3672</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14422</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>-0.0066</X>
<Y>0.3690</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14281</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>-0.0063</X>
<Y>0.3709</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14130</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>-0.0059</X>
<Y>0.3727</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13975</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>-0.0055</X>
<Y>0.3746</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13823</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>-0.0051</X>
<Y>0.3764</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13678</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>-0.0046</X>
<Y>0.3782</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13543</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>-0.0041</X>
<Y>0.3801</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13416</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>-0.0035</X>
<Y>0.3819</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13294</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>-0.0030</X>
<Y>0.3837</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13172</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>-0.0024</X>
<Y>0.3855</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13042</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>-0.0017</X>
<Y>0.3873</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12900</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>-0.0011</X>
<Y>0.3891</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12745</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>-0.0004</X>
<Y>0.3909</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12577</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>58208</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0004</X>
<Y>0.3926</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12403</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>58209</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0012</X>
<Y>0.3944</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12231</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>58210</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0020</X>
<Y>0.3962</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12066</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>58211</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0028</X>
<Y>0.3979</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11914</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>58212</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0037</X>
<Y>0.3996</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11776</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>58213</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0046</X>
<Y>0.4013</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11654</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>58214</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0055</X>
<Y>0.4030</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11543</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>58215</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0065</X>
<Y>0.4047</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11443</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>58216</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0075</X>
<Y>0.4064</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11347</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>58217</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0085</X>
<Y>0.4080</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11252</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>58218</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0095</X>
<Y>0.4097</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11152</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>58219</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0106</X>
<Y>0.4113</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>58220</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0117</X>
<Y>0.4129</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10923</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>58221</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0129</X>
<Y>0.4145</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>58222</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0141</X>
<Y>0.4161</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10640</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>58223</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0153</X>
<Y>0.4177</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10481</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>58224</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0165</X>
<Y>0.4192</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10317</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>58225</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0177</X>
<Y>0.4207</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10156</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>58226</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0190</X>
<Y>0.4223</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10003</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>58227</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0204</X>
<Y>0.4237</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09864</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>58228</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0217</X>
<Y>0.4252</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09740</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>58229</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0231</X>
<Y>0.4267</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09626</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>58230</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0245</X>
<Y>0.4281</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09518</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>58231</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0259</X>
<Y>0.4295</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09407</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>58232</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0273</X>
<Y>0.4309</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09290</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>58233</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0288</X>
<Y>0.4323</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09162</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>58234</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0303</X>
<Y>0.4336</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09024</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>58235</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0318</X>
<Y>0.4350</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08879</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>58236</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0334</X>
<Y>0.4363</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08733</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>58237</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0350</X>
<Y>0.4375</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08593</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>58238</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0366</X>
<Y>0.4388</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08465</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>58239</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0382</X>
<Y>0.4400</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08352</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>58240</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0398</X>
<Y>0.4412</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08254</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>58241</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0415</X>
<Y>0.4424</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08171</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>58242</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0432</X>
<Y>0.4436</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08101</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>58243</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0449</X>
<Y>0.4447</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08038</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>58244</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0466</X>
<Y>0.4458</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07978</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>58245</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0483</X>
<Y>0.4469</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07917</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>58246</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0501</X>
<Y>0.4480</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07849</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>58247</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0519</X>
<Y>0.4490</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>58248</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0537</X>
<Y>0.4500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07681</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>58249</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0555</X>
<Y>0.4510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07579</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>58250</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0574</X>
<Y>0.4520</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07465</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>58251</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0592</X>
<Y>0.4529</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07343</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>58252</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0611</X>
<Y>0.4538</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07221</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>58253</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0630</X>
<Y>0.4547</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07105</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>58254</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0649</X>
<Y>0.4555</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07002</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>58255</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0668</X>
<Y>0.4563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06914</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>58256</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0687</X>
<Y>0.4571</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06839</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>58257</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0707</X>
<Y>0.4579</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>58258</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0726</X>
<Y>0.4586</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06704</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>58259</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0746</X>
<Y>0.4593</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06632</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>58260</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0766</X>
<Y>0.4600</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06549</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>58261</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0786</X>
<Y>0.4606</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06457</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>58262</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0806</X>
<Y>0.4612</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>58263</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0826</X>
<Y>0.4618</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06258</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>58264</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0846</X>
<Y>0.4624</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06162</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>58265</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0867</X>
<Y>0.4629</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06076</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>58266</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0887</X>
<Y>0.4634</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06005</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>58267</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0908</X>
<Y>0.4638</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05951</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>58268</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0928</X>
<Y>0.4643</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05912</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>58269</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0949</X>
<Y>0.4647</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05886</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>58270</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0970</X>
<Y>0.4650</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05869</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>58271</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0991</X>
<Y>0.4654</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05858</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>58272</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1012</X>
<Y>0.4657</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05847</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>58273</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1032</X>
<Y>0.4659</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05832</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>58274</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1053</X>
<Y>0.4662</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05808</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>58275</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1074</X>
<Y>0.4664</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05774</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>58276</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1095</X>
<Y>0.4666</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05729</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>58277</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1117</X>
<Y>0.4667</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05672</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>58278</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1138</X>
<Y>0.4669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05607</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>58279</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1159</X>
<Y>0.4669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05537</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>58280</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1180</X>
<Y>0.4670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05469</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>58281</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1201</X>
<Y>0.4670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05410</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>58282</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1222</X>
<Y>0.4670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05363</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>58283</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1243</X>
<Y>0.4670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05330</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>58284</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1264</X>
<Y>0.4669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05306</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>58285</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1285</X>
<Y>0.4668</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05285</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>58286</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1306</X>
<Y>0.4667</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05258</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>58287</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1327</X>
<Y>0.4665</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>58288</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1348</X>
<Y>0.4663</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05175</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>58289</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1369</X>
<Y>0.4661</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05122</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>58290</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1390</X>
<Y>0.4658</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05067</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>58291</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1411</X>
<Y>0.4655</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05016</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>58292</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1431</X>
<Y>0.4652</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04975</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>58293</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1452</X>
<Y>0.4648</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04947</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>58294</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1472</X>
<Y>0.4645</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04934</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>58295</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1493</X>
<Y>0.4640</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04936</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>58296</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1513</X>
<Y>0.4636</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04950</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>58297</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1534</X>
<Y>0.4631</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04974</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>58298</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1554</X>
<Y>0.4626</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05004</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>58299</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1574</X>
<Y>0.4621</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05034</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>58300</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1594</X>
<Y>0.4615</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>58301</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1614</X>
<Y>0.4609</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05078</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>58302</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1634</X>
<Y>0.4603</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05086</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>58303</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1653</X>
<Y>0.4596</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05082</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>58304</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1673</X>
<Y>0.4589</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05066</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>58305</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1692</X>
<Y>0.4582</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05040</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>58306</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1711</X>
<Y>0.4575</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05007</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>58307</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1730</X>
<Y>0.4567</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04973</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>58308</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1749</X>
<Y>0.4559</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04942</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>58309</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1768</X>
<Y>0.4551</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04919</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>58310</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1787</X>
<Y>0.4542</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04908</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>58311</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1805</X>
<Y>0.4533</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04905</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>58312</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1823</X>
<Y>0.4524</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04906</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>58313</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1841</X>
<Y>0.4515</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04902</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>58314</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1859</X>
<Y>0.4505</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04887</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>58315</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1877</X>
<Y>0.4495</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04857</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>58316</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1894</X>
<Y>0.4485</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04817</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>58317</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1912</X>
<Y>0.4474</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>58318</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1929</X>
<Y>0.4463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04727</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>58319</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1946</X>
<Y>0.4452</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>58320</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1962</X>
<Y>0.4441</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04671</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>58321</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1979</X>
<Y>0.4430</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04663</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>58322</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1995</X>
<Y>0.4418</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04671</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>58323</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2011</X>
<Y>0.4406</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04690</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>58324</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2027</X>
<Y>0.4393</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04719</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>58325</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2042</X>
<Y>0.4381</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04753</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>58326</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2057</X>
<Y>0.4368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04787</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>58327</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2072</X>
<Y>0.4355</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04818</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>58328</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2087</X>
<Y>0.4342</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04841</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>58329</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2102</X>
<Y>0.4329</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04853</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>58330</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2116</X>
<Y>0.4315</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04853</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>58331</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2130</X>
<Y>0.4301</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04841</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>58332</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2144</X>
<Y>0.4287</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>58333</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2157</X>
<Y>0.4273</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04790</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>58334</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2170</X>
<Y>0.4258</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04760</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>58335</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2183</X>
<Y>0.4244</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>58336</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2196</X>
<Y>0.4229</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04712</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>58337</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2208</X>
<Y>0.4214</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04703</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>58338</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2221</X>
<Y>0.4198</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04704</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>58339</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2232</X>
<Y>0.4183</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04712</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>58340</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2244</X>
<Y>0.4167</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04720</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>58341</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2255</X>
<Y>0.4151</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04722</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>58342</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2266</X>
<Y>0.4135</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04712</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>58343</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2276</X>
<Y>0.4119</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>58344</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2287</X>
<Y>0.4103</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04666</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>58345</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2297</X>
<Y>0.4086</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04643</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>58346</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2306</X>
<Y>0.4070</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04630</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>58347</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2316</X>
<Y>0.4053</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04632</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>58348</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2325</X>
<Y>0.4036</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04649</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>58349</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2334</X>
<Y>0.4019</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04678</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>58350</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2342</X>
<Y>0.4002</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04715</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>58351</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2350</X>
<Y>0.3985</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04756</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>58352</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2358</X>
<Y>0.3967</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04796</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>58353</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2365</X>
<Y>0.3950</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04831</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>58354</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2372</X>
<Y>0.3932</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04856</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>58355</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2379</X>
<Y>0.3914</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04868</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>58356</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2385</X>
<Y>0.3896</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04863</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>58357</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2392</X>
<Y>0.3878</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04839</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>58358</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2397</X>
<Y>0.3860</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04795</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>58359</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2403</X>
<Y>0.3842</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04734</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>58360</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2408</X>
<Y>0.3824</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04657</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>58361</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2412</X>
<Y>0.3806</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04572</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>58362</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2417</X>
<Y>0.3787</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04482</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>58363</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2421</X>
<Y>0.3769</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04392</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>58364</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2425</X>
<Y>0.3750</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04307</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>58365</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2428</X>
<Y>0.3732</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04226</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58366</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2431</X>
<Y>0.3713</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58367</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2434</X>
<Y>0.3694</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04067</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58368</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2436</X>
<Y>0.3676</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03976</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58369</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2438</X>
<Y>0.3657</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03868</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58370</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2440</X>
<Y>0.3638</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03741</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58371</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2441</X>
<Y>0.3619</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03601</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58372</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2442</X>
<Y>0.3601</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03454</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58373</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2442</X>
<Y>0.3582</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03310</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58374</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2442</X>
<Y>0.3563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03175</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58375</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2442</X>
<Y>0.3544</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03054</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58376</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2442</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02950</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58377</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2441</X>
<Y>0.3506</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02865</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58378</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2440</X>
<Y>0.3487</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02794</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>58379</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2438</X>
<Y>0.3469</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58380</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2436</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02672</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58381</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2434</X>
<Y>0.3431</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02601</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>58382</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2432</X>
<Y>0.3412</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58383</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2429</X>
<Y>0.3394</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02407</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58384</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2425</X>
<Y>0.3375</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02287</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58385</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2422</X>
<Y>0.3356</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58386</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2418</X>
<Y>0.3338</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02005</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58387</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2414</X>
<Y>0.3319</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01853</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58388</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2409</X>
<Y>0.3301</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01695</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58389</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2404</X>
<Y>0.3282</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01540</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58390</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2399</X>
<Y>0.3264</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01397</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58391</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2393</X>
<Y>0.3246</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01263</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58392</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2387</X>
<Y>0.3228</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01143</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58393</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2381</X>
<Y>0.3210</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01032</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58394</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2374</X>
<Y>0.3192</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00915</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58395</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2367</X>
<Y>0.3174</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00794</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58396</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2360</X>
<Y>0.3156</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00667</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58397</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2352</X>
<Y>0.3138</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00525</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58398</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2344</X>
<Y>0.3121</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00361</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58399</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2336</X>
<Y>0.3103</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00181</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58400</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2328</X>
<Y>0.3086</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00001</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58401</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2319</X>
<Y>0.3069</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58402</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2309</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00340</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58403</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2300</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00482</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58404</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2290</X>
<Y>0.3018</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00607</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58405</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2280</X>
<Y>0.3002</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00718</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58406</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2270</X>
<Y>0.2985</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00820</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58407</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2259</X>
<Y>0.2969</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58408</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2248</X>
<Y>0.2953</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58409</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2237</X>
<Y>0.2937</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01098</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58410</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2225</X>
<Y>0.2921</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01208</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58411</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2213</X>
<Y>0.2905</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01337</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58412</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2201</X>
<Y>0.2890</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01482</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58413</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2189</X>
<Y>0.2875</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01638</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58414</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2176</X>
<Y>0.2860</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01810</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58415</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2163</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01995</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58416</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2150</X>
<Y>0.2830</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58417</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2136</X>
<Y>0.2816</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58418</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2123</X>
<Y>0.2801</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02532</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58419</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2109</X>
<Y>0.2787</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02697</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58420</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2094</X>
<Y>0.2773</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02859</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58421</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2080</X>
<Y>0.2760</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03018</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58422</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2065</X>
<Y>0.2746</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58423</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2050</X>
<Y>0.2733</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03349</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58424</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2035</X>
<Y>0.2720</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03538</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58425</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2020</X>
<Y>0.2707</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58426</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2004</X>
<Y>0.2695</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03957</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58427</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1988</X>
<Y>0.2683</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04174</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>58428</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1972</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04384</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58429</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1956</X>
<Y>0.2659</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04577</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58430</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1939</X>
<Y>0.2647</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04753</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58431</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1923</X>
<Y>0.2636</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04920</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>58432</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1906</X>
<Y>0.2625</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05071</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>58433</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1889</X>
<Y>0.2614</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05207</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>58434</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1871</X>
<Y>0.2604</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05332</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>58435</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1854</X>
<Y>0.2593</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05447</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>58436</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1836</X>
<Y>0.2583</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05560</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>58437</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1819</X>
<Y>0.2573</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05678</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>58438</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1801</X>
<Y>0.2564</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05806</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>58439</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1783</X>
<Y>0.2555</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>58440</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1764</X>
<Y>0.2546</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06116</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>58441</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1746</X>
<Y>0.2537</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06292</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>58442</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1727</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06469</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>58443</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1709</X>
<Y>0.2521</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06650</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>58444</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1690</X>
<Y>0.2513</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06830</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>58445</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1671</X>
<Y>0.2505</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06999</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>58446</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1652</X>
<Y>0.2498</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07152</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58447</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1633</X>
<Y>0.2491</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07290</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>58448</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1613</X>
<Y>0.2485</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07414</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>58449</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1594</X>
<Y>0.2478</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07533</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>58450</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1575</X>
<Y>0.2472</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07667</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>58451</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1555</X>
<Y>0.2466</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>58452</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1535</X>
<Y>0.2461</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07972</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>58453</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1516</X>
<Y>0.2456</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08133</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>58454</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1496</X>
<Y>0.2451</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08298</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>58455</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1476</X>
<Y>0.2446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08465</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>58456</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1456</X>
<Y>0.2442</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08627</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>58457</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1436</X>
<Y>0.2438</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08772</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>58458</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1416</X>
<Y>0.2434</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08901</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>58459</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1396</X>
<Y>0.2431</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09016</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>58460</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1376</X>
<Y>0.2428</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09121</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>58461</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1355</X>
<Y>0.2425</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09226</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>58462</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1335</X>
<Y>0.2423</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09324</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>58463</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1315</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09422</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>58464</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1295</X>
<Y>0.2419</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09524</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>58465</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1274</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09632</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>58466</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1254</X>
<Y>0.2416</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09750</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>58467</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1234</X>
<Y>0.2415</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09875</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>58468</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1213</X>
<Y>0.2415</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10020</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>58469</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1193</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10178</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>58470</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1173</X>
<Y>0.2414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10341</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>58471</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1153</X>
<Y>0.2415</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10500</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58472</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1132</X>
<Y>0.2415</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10645</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58473</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1112</X>
<Y>0.2416</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10779</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58474</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1092</X>
<Y>0.2418</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10897</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58475</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1072</X>
<Y>0.2419</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58476</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1052</X>
<Y>0.2421</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11081</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58477</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1032</X>
<Y>0.2423</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11165</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58478</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1012</X>
<Y>0.2426</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11265</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58479</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0992</X>
<Y>0.2429</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11383</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58480</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0972</X>
<Y>0.2432</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58481</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0953</X>
<Y>0.2435</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11647</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58482</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0933</X>
<Y>0.2439</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11774</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58483</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0914</X>
<Y>0.2443</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11895</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58484</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0894</X>
<Y>0.2447</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12003</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58485</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0875</X>
<Y>0.2452</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12098</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58486</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0856</X>
<Y>0.2457</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12181</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58487</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0836</X>
<Y>0.2462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12247</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58488</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0818</X>
<Y>0.2467</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12302</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58489</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0799</X>
<Y>0.2473</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12353</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58490</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0780</X>
<Y>0.2479</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12401</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58491</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0761</X>
<Y>0.2485</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12449</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58492</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0743</X>
<Y>0.2492</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12510</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58493</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0725</X>
<Y>0.2499</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12582</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58494</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0706</X>
<Y>0.2506</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12665</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58495</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0688</X>
<Y>0.2514</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12767</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58496</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0671</X>
<Y>0.2521</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12874</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58497</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0653</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12984</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58498</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0635</X>
<Y>0.2538</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13096</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58499</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0618</X>
<Y>0.2546</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13201</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58500</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0601</X>
<Y>0.2555</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13300</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58501</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0584</X>
<Y>0.2564</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13389</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58502</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0567</X>
<Y>0.2573</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13471</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58503</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0551</X>
<Y>0.2583</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58504</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0534</X>
<Y>0.2593</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13644</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58505</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0518</X>
<Y>0.2603</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13748</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58506</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0502</X>
<Y>0.2613</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13863</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58507</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0486</X>
<Y>0.2624</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13993</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58508</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0471</X>
<Y>0.2635</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14134</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58509</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0455</X>
<Y>0.2646</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14280</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58510</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0440</X>
<Y>0.2657</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14422</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58511</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0425</X>
<Y>0.2669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14549</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58512</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0411</X>
<Y>0.2680</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14653</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58513</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0396</X>
<Y>0.2692</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58514</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0382</X>
<Y>0.2705</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14812</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58515</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0368</X>
<Y>0.2717</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14865</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58516</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0355</X>
<Y>0.2730</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14910</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58517</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0341</X>
<Y>0.2743</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.14956</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58518</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0328</X>
<Y>0.2756</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15006</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58519</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0315</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58520</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0303</X>
<Y>0.2782</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15123</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58521</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0290</X>
<Y>0.2796</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15204</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58522</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0278</X>
<Y>0.2810</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.15301</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>
