<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers">
<version>
<product>BulletinA</product>
<date>2018-01-25</date>
<volume>XXXI</volume>
<number>004</number>
</version>
<metaFileName/>
<headerLine>
<headerLineDate>
<sYear>Year</sYear>
<sMonth>Month</sMonth>
<sDay>Day</sDay>
<sTime>Time</sTime>
<sMJD>MJD</sMJD>
</headerLineDate>
<headerLineEOP>
<product source="BulletinA">
<sX>X</sX>
<ssigma_X>sigma_X</ssigma_X>
<sY>Y</sY>
<ssigma_Y>sigma_Y</ssigma_Y>
<sUT1-UTC>UT1-UTC</sUT1-UTC>
<ssigma_UT1-UTC>sigma_UT1-UTC</ssigma_UT1-UTC>
<sdPsi>dPsi</sdPsi>
<ssigma_dPsi>sigma_dPsi</ssigma_dPsi>
<sdEpsilon>dEpsilon</sdEpsilon>
<ssigma_dEpsilon>sigma_dEpsilon</ssigma_dEpsilon>
<sdX>dX</sdX>
<ssigma_dX>sigma_dX</ssigma_dX>
<sdY>dY</sdY>
<ssigma_dY>sigma_dY</ssigma_dY>
</product>
</headerLineEOP>
<headerLineUnits>
<product source="BulletinA">
<X>arcsec</X>
<sigma_X>arcsec</sigma_X>
<Y>arcsec</Y>
<sigma_Y>arcsec</sigma_Y>
<UT1-UTC>sec</UT1-UTC>
<sigma_UT1-UTC>sec</sigma_UT1-UTC>
<dPsi>marcsec</dPsi>
<sigma_dPsi>marcsec</sigma_dPsi>
<dEpsilon>marcsec</dEpsilon>
<sigma_dEpsilon>marcsec</sigma_dEpsilon>
<dX>marcsec</dX>
<sigma_dX>marcsec</sigma_dX>
<dY>marcsec</dY>
<sigma_dY>marcsec</sigma_dY>
</product>
</headerLineUnits>
</headerLine>
<data product="BulletinA" source="BulletinA">
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.32</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.71</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.246</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.240</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.44</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.70</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.224</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.240</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.60</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.69</dEpsilon>
<sigma_dEpsilon>0.02</sigma_dEpsilon>
<dX>0.203</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.230</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.64</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.61</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.187</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.213</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.61</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.48</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.169</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.192</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.68</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.43</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.145</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.194</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.83</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.46</dEpsilon>
<sigma_dEpsilon>0.09</sigma_dEpsilon>
<dX>0.137</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.191</dY>
<sigma_dY>0.090</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.90</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.45</dEpsilon>
<sigma_dEpsilon>0.09</sigma_dEpsilon>
<dX>0.140</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.193</dY>
<sigma_dY>0.090</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.90</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.29</dEpsilon>
<sigma_dEpsilon>0.09</sigma_dEpsilon>
<dX>0.139</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.199</dY>
<sigma_dY>0.090</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-104.04</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.12</dEpsilon>
<sigma_dEpsilon>0.09</sigma_dEpsilon>
<dX>0.148</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.230</dY>
<sigma_dY>0.090</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-104.44</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.12</dEpsilon>
<sigma_dEpsilon>0.09</sigma_dEpsilon>
<dX>0.175</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.243</dY>
<sigma_dY>0.090</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-104.83</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.26</dEpsilon>
<sigma_dEpsilon>0.07</sigma_dEpsilon>
<dX>0.214</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.220</dY>
<sigma_dY>0.070</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-104.88</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.31</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.231</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.190</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-104.45</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-8.18</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.246</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.194</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.73</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-8.03</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.277</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.206</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.01</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-8.00</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.327</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.171</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.03465</X>
<sigma_X>.00009</sigma_X>
<Y>0.26684</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.207608</UT1-UTC>
<sigma_UT1-UTC>0.000017</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.03273</X>
<sigma_X>.00009</sigma_X>
<Y>0.26864</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.207273</UT1-UTC>
<sigma_UT1-UTC>0.000017</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.03062</X>
<sigma_X>.00009</sigma_X>
<Y>0.27038</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.206773</UT1-UTC>
<sigma_UT1-UTC>0.000017</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.02879</X>
<sigma_X>.00009</sigma_X>
<Y>0.27208</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.206094</UT1-UTC>
<sigma_UT1-UTC>0.000017</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.02737</X>
<sigma_X>.00009</sigma_X>
<Y>0.27380</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.205299</UT1-UTC>
<sigma_UT1-UTC>0.000016</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.02599</X>
<sigma_X>.00009</sigma_X>
<Y>0.27556</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.204392</UT1-UTC>
<sigma_UT1-UTC>0.000015</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.02433</X>
<sigma_X>.00009</sigma_X>
<Y>0.27731</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.203442</UT1-UTC>
<sigma_UT1-UTC>0.000014</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0226</X>
<Y>0.2789</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20243</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0209</X>
<Y>0.2804</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0192</X>
<Y>0.2819</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20052</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0178</X>
<Y>0.2834</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19965</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0164</X>
<Y>0.2848</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19874</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0152</X>
<Y>0.2863</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19774</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0140</X>
<Y>0.2878</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19661</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0127</X>
<Y>0.2894</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19534</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0115</X>
<Y>0.2910</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19397</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0104</X>
<Y>0.2925</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19257</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0093</X>
<Y>0.2940</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19123</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0083</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19002</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0073</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18898</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0063</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18814</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>0.0053</X>
<Y>0.3006</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18747</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>0.3023</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18695</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>0.0035</X>
<Y>0.3040</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18654</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>0.0026</X>
<Y>0.3057</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18619</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>0.0018</X>
<Y>0.3074</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18586</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>0.0010</X>
<Y>0.3092</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18550</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>0.0002</X>
<Y>0.3110</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18506</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>-0.0006</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18448</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>-0.0013</X>
<Y>0.3145</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18373</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>-0.0020</X>
<Y>0.3163</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18282</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>-0.0027</X>
<Y>0.3181</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18178</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>-0.0033</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18063</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>-0.0039</X>
<Y>0.3217</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17946</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>-0.0045</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17830</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>-0.0050</X>
<Y>0.3254</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17720</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>-0.0054</X>
<Y>0.3272</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17617</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>-0.0059</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17520</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>-0.0063</X>
<Y>0.3309</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17425</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>-0.0067</X>
<Y>0.3328</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17325</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>-0.0070</X>
<Y>0.3347</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17213</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>-0.0073</X>
<Y>0.3365</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17084</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>-0.0076</X>
<Y>0.3384</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16938</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>-0.0078</X>
<Y>0.3403</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16780</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>-0.0080</X>
<Y>0.3422</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16617</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>-0.0082</X>
<Y>0.3441</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16459</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>-0.0083</X>
<Y>0.3460</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16310</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>-0.0084</X>
<Y>0.3479</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16174</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>-0.0085</X>
<Y>0.3498</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16053</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>-0.0085</X>
<Y>0.3517</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15945</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>-0.0085</X>
<Y>0.3536</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15847</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>-0.0085</X>
<Y>0.3555</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15756</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>-0.0084</X>
<Y>0.3574</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15667</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>-0.0083</X>
<Y>0.3593</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15574</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>-0.0081</X>
<Y>0.3612</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15473</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>-0.0079</X>
<Y>0.3631</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15360</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>-0.0077</X>
<Y>0.3650</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15233</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>-0.0075</X>
<Y>0.3669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15091</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>-0.0072</X>
<Y>0.3688</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14937</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>-0.0069</X>
<Y>0.3707</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14774</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>-0.0065</X>
<Y>0.3726</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14609</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>-0.0061</X>
<Y>0.3745</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14449</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>-0.0057</X>
<Y>0.3763</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14298</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>-0.0052</X>
<Y>0.3782</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14158</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>-0.0047</X>
<Y>0.3801</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14028</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>-0.0042</X>
<Y>0.3819</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13905</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>-0.0036</X>
<Y>0.3838</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13781</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>-0.0030</X>
<Y>0.3856</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13651</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>-0.0024</X>
<Y>0.3875</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13508</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>-0.0017</X>
<Y>0.3893</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13352</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>-0.0010</X>
<Y>0.3911</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13185</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>-0.0003</X>
<Y>0.3929</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13011</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>0.0005</X>
<Y>0.3947</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12840</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>0.0013</X>
<Y>0.3965</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12677</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>0.0021</X>
<Y>0.3983</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12528</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>0.0030</X>
<Y>0.4000</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12395</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>0.0039</X>
<Y>0.4018</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12277</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>0.0048</X>
<Y>0.4035</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12173</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>0.0057</X>
<Y>0.4053</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12078</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>0.0067</X>
<Y>0.4070</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11988</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>0.0078</X>
<Y>0.4087</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11898</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>0.0088</X>
<Y>0.4103</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11802</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>0.0099</X>
<Y>0.4120</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11698</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>0.0110</X>
<Y>0.4137</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11581</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>0.0121</X>
<Y>0.4153</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11449</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>0.0133</X>
<Y>0.4169</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11305</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>0.0145</X>
<Y>0.4185</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11150</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>0.0157</X>
<Y>0.4201</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10989</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>0.0170</X>
<Y>0.4217</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10832</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>0.0183</X>
<Y>0.4232</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10683</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>0.0196</X>
<Y>0.4247</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10547</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>0.0209</X>
<Y>0.4262</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10426</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>0.0223</X>
<Y>0.4277</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10314</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>0.0237</X>
<Y>0.4292</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10207</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>0.0251</X>
<Y>0.4306</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10098</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>0.0266</X>
<Y>0.4321</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09980</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>0.0280</X>
<Y>0.4335</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09852</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>0.0295</X>
<Y>0.4349</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09713</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>0.0311</X>
<Y>0.4362</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09566</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>0.0326</X>
<Y>0.4376</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09419</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>0.0342</X>
<Y>0.4389</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09277</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>0.0358</X>
<Y>0.4402</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09146</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>0.0374</X>
<Y>0.4414</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09029</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>0.0390</X>
<Y>0.4427</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08928</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>0.0407</X>
<Y>0.4439</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08841</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>0.0424</X>
<Y>0.4451</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08765</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>0.0441</X>
<Y>0.4463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08697</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>0.0458</X>
<Y>0.4474</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08631</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>0.0476</X>
<Y>0.4486</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08562</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>0.0493</X>
<Y>0.4497</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08486</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>0.0511</X>
<Y>0.4507</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08399</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>0.0529</X>
<Y>0.4518</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08300</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>0.0547</X>
<Y>0.4528</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08187</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>0.0566</X>
<Y>0.4538</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08063</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>0.0584</X>
<Y>0.4547</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07931</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>0.0603</X>
<Y>0.4557</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07804</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>0.0622</X>
<Y>0.4566</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07683</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>0.0641</X>
<Y>0.4575</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07575</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>0.0660</X>
<Y>0.4583</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07481</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>0.0680</X>
<Y>0.4591</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07401</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>0.0699</X>
<Y>0.4599</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07328</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>0.0719</X>
<Y>0.4607</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07256</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>0.0738</X>
<Y>0.4614</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07177</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>0.0758</X>
<Y>0.4621</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07090</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>0.0778</X>
<Y>0.4628</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06993</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>0.0798</X>
<Y>0.4634</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06890</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>0.0819</X>
<Y>0.4641</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06787</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>0.0839</X>
<Y>0.4646</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06688</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>0.0859</X>
<Y>0.4652</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06599</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>0.0880</X>
<Y>0.4657</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06524</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>0.0901</X>
<Y>0.4662</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06464</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>0.0921</X>
<Y>0.4667</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06420</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>0.0942</X>
<Y>0.4671</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06388</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>0.0963</X>
<Y>0.4675</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06367</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>0.0984</X>
<Y>0.4679</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06350</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>0.1004</X>
<Y>0.4682</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06333</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>0.1025</X>
<Y>0.4685</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06312</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>0.1046</X>
<Y>0.4688</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06282</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>0.1068</X>
<Y>0.4691</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06241</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>0.1089</X>
<Y>0.4693</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06189</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>0.1110</X>
<Y>0.4694</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06125</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>0.1131</X>
<Y>0.4696</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06052</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>0.1152</X>
<Y>0.4697</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05974</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>0.1173</X>
<Y>0.4698</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05898</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>0.1194</X>
<Y>0.4699</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05830</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>0.1215</X>
<Y>0.4699</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05775</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>0.1237</X>
<Y>0.4699</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05734</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>0.1258</X>
<Y>0.4698</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05702</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>0.1279</X>
<Y>0.4698</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05672</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>0.1300</X>
<Y>0.4697</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05638</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>0.1321</X>
<Y>0.4695</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05593</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>0.1342</X>
<Y>0.4694</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05539</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>0.1363</X>
<Y>0.4692</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05477</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>0.1384</X>
<Y>0.4689</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05414</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>0.1405</X>
<Y>0.4687</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05355</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>0.1425</X>
<Y>0.4684</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05306</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>0.1446</X>
<Y>0.4681</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05271</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>0.1467</X>
<Y>0.4677</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05250</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>0.1487</X>
<Y>0.4673</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05244</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>0.1508</X>
<Y>0.4669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05251</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>0.1528</X>
<Y>0.4665</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05267</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>0.1548</X>
<Y>0.4660</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05289</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>0.1569</X>
<Y>0.4655</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05311</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>0.1589</X>
<Y>0.4649</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05330</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>0.1609</X>
<Y>0.4644</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05341</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>0.1628</X>
<Y>0.4638</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05342</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>0.1648</X>
<Y>0.4631</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05331</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>0.1668</X>
<Y>0.4625</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05308</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>0.1687</X>
<Y>0.4618</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05276</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>0.1707</X>
<Y>0.4611</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05238</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>0.1726</X>
<Y>0.4603</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05198</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>0.1745</X>
<Y>0.4595</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05161</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>0.1764</X>
<Y>0.4587</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05133</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>0.1782</X>
<Y>0.4579</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05117</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>0.1801</X>
<Y>0.4570</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05110</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>0.1819</X>
<Y>0.4562</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05107</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>0.1837</X>
<Y>0.4552</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05099</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>0.1855</X>
<Y>0.4543</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05080</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>0.1873</X>
<Y>0.4533</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05048</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>0.1891</X>
<Y>0.4523</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05005</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>0.1908</X>
<Y>0.4513</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04958</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>0.1925</X>
<Y>0.4502</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04914</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>0.1942</X>
<Y>0.4492</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04880</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>0.1959</X>
<Y>0.4481</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04861</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>0.1976</X>
<Y>0.4469</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04858</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>0.1992</X>
<Y>0.4458</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04871</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>0.2008</X>
<Y>0.4446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04900</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>0.2024</X>
<Y>0.4434</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04940</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>0.2040</X>
<Y>0.4422</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04990</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>0.2055</X>
<Y>0.4409</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05044</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>0.2070</X>
<Y>0.4396</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05099</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>0.2085</X>
<Y>0.4384</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05151</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>0.2100</X>
<Y>0.4370</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05198</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>0.2114</X>
<Y>0.4357</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05237</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>0.2129</X>
<Y>0.4343</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05269</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>0.2142</X>
<Y>0.4329</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05293</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>0.2156</X>
<Y>0.4315</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05310</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>0.2169</X>
<Y>0.4301</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05322</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>0.4287</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05330</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>0.2195</X>
<Y>0.4272</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05336</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>0.4257</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05342</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>0.2220</X>
<Y>0.4242</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05347</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>0.4227</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05347</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>0.4211</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05337</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>0.4196</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05307</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>0.4180</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05255</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>0.2277</X>
<Y>0.4164</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05180</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>0.2288</X>
<Y>0.4148</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05089</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>0.2298</X>
<Y>0.4132</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04992</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>0.2308</X>
<Y>0.4115</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04899</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>0.2317</X>
<Y>0.4099</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04818</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>0.2326</X>
<Y>0.4082</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04752</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>0.2335</X>
<Y>0.4065</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04704</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>0.2344</X>
<Y>0.4048</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04669</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>0.2352</X>
<Y>0.4031</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04646</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>0.2360</X>
<Y>0.4014</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04627</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>0.2368</X>
<Y>0.3997</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04608</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>0.2375</X>
<Y>0.3979</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04583</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>0.2382</X>
<Y>0.3961</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04545</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>0.2389</X>
<Y>0.3944</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04491</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>0.2395</X>
<Y>0.3926</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04420</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>0.2401</X>
<Y>0.3908</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04335</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>0.2407</X>
<Y>0.3890</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04239</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>0.2412</X>
<Y>0.3872</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04137</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>0.2417</X>
<Y>0.3854</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04032</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>0.2422</X>
<Y>0.3836</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03932</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>0.2426</X>
<Y>0.3817</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03839</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>0.2430</X>
<Y>0.3799</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03757</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>0.2433</X>
<Y>0.3781</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03683</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>0.2437</X>
<Y>0.3762</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03610</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>0.2440</X>
<Y>0.3744</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03535</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>0.2442</X>
<Y>0.3725</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03458</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>0.2444</X>
<Y>0.3706</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03367</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>0.2446</X>
<Y>0.3688</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03252</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>0.2448</X>
<Y>0.3669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03119</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>0.2449</X>
<Y>0.3650</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02978</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>0.2450</X>
<Y>0.3632</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02839</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>0.2450</X>
<Y>0.3613</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02711</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>0.2451</X>
<Y>0.3594</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02601</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>0.2450</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02508</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>0.2450</X>
<Y>0.3557</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02428</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>0.2449</X>
<Y>0.3538</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02358</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>0.2448</X>
<Y>0.3519</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02306</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>0.2446</X>
<Y>0.3501</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02252</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>0.2444</X>
<Y>0.3482</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02189</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>0.2442</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02119</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>0.2439</X>
<Y>0.3445</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02030</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>0.2436</X>
<Y>0.3426</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01927</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>0.2433</X>
<Y>0.3408</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01809</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>0.2430</X>
<Y>0.3389</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01674</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>0.2426</X>
<Y>0.3371</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01524</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>0.2421</X>
<Y>0.3352</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01370</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>0.2417</X>
<Y>0.3334</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01215</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>0.2412</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01062</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>0.2406</X>
<Y>0.3298</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00913</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>0.2401</X>
<Y>0.3280</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00767</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>0.2395</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00626</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>0.2388</X>
<Y>0.3244</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00487</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>0.2382</X>
<Y>0.3226</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00339</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>0.2375</X>
<Y>0.3208</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00174</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>0.2368</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00008</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>0.2360</X>
<Y>0.3173</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00205</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>0.2352</X>
<Y>0.3156</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00411</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>0.2344</X>
<Y>0.3139</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00616</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>0.2335</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00809</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>0.2327</X>
<Y>0.3105</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00989</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>0.2318</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01159</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>0.2308</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01313</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>0.2298</X>
<Y>0.3054</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01452</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>0.2288</X>
<Y>0.3038</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01577</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>0.2278</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01691</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>0.2267</X>
<Y>0.3006</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01801</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>0.2257</X>
<Y>0.2990</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01914</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>0.2245</X>
<Y>0.2974</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02037</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>0.2234</X>
<Y>0.2958</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02178</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>0.2222</X>
<Y>0.2943</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02337</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>0.2210</X>
<Y>0.2928</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02512</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>0.2198</X>
<Y>0.2913</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02690</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>0.2185</X>
<Y>0.2898</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02874</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>0.2172</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03062</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>0.2159</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03242</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>0.2146</X>
<Y>0.2854</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03409</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>0.2132</X>
<Y>0.2840</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03561</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>0.2119</X>
<Y>0.2826</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03697</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>0.2105</X>
<Y>0.2812</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03824</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>0.2090</X>
<Y>0.2799</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03963</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>0.2076</X>
<Y>0.2786</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04113</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>0.2061</X>
<Y>0.2773</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04272</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>0.2046</X>
<Y>0.2760</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04439</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>0.2031</X>
<Y>0.2747</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04616</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>0.2015</X>
<Y>0.2735</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04804</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>0.2000</X>
<Y>0.2723</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04992</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>0.1984</X>
<Y>0.2711</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05168</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>0.1968</X>
<Y>0.2699</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05329</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>0.1952</X>
<Y>0.2688</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05476</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>0.1935</X>
<Y>0.2677</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05611</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>0.1918</X>
<Y>0.2666</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05741</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>0.1902</X>
<Y>0.2656</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05863</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>0.1885</X>
<Y>0.2645</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05981</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>0.1867</X>
<Y>0.2635</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06100</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>0.1850</X>
<Y>0.2625</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06224</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>0.1833</X>
<Y>0.2616</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06356</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>0.1815</X>
<Y>0.2606</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06496</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>0.1797</X>
<Y>0.2597</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06658</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>0.1779</X>
<Y>0.2589</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06834</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>0.1761</X>
<Y>0.2580</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07018</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>0.1743</X>
<Y>0.2572</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07200</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>0.1725</X>
<Y>0.2564</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07372</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>0.1706</X>
<Y>0.2556</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07533</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>0.1687</X>
<Y>0.2549</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07677</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>0.1669</X>
<Y>0.2542</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07800</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>0.1650</X>
<Y>0.2535</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07902</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>0.1631</X>
<Y>0.2529</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07998</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>0.1612</X>
<Y>0.2522</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08104</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>0.1593</X>
<Y>0.2516</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08226</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>0.1573</X>
<Y>0.2511</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08359</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>0.1554</X>
<Y>0.2505</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08502</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>0.1535</X>
<Y>0.2500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08644</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>0.1515</X>
<Y>0.2496</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08787</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>0.1496</X>
<Y>0.2491</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08922</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>0.1476</X>
<Y>0.2487</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09048</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>0.1457</X>
<Y>0.2483</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09160</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>0.1437</X>
<Y>0.2480</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09253</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>0.1417</X>
<Y>0.2477</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09332</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>0.1397</X>
<Y>0.2474</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09402</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>0.1378</X>
<Y>0.2471</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09464</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>0.1358</X>
<Y>0.2469</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09523</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>0.1338</X>
<Y>0.2467</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09591</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>0.1318</X>
<Y>0.2465</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09668</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>0.1298</X>
<Y>0.2463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09755</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>0.1278</X>
<Y>0.2462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09860</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>0.1259</X>
<Y>0.2462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09972</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>0.1239</X>
<Y>0.2461</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10091</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>0.1219</X>
<Y>0.2461</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10213</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>0.1199</X>
<Y>0.2461</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10331</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>0.1179</X>
<Y>0.2461</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10444</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>0.1160</X>
<Y>0.2462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10547</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>0.1140</X>
<Y>0.2463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10638</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>0.1120</X>
<Y>0.2464</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10725</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>0.1101</X>
<Y>0.2466</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10814</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>0.1081</X>
<Y>0.2468</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10909</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>0.1062</X>
<Y>0.2470</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11009</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>0.1042</X>
<Y>0.2473</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11121</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>0.1023</X>
<Y>0.2476</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11244</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>0.1003</X>
<Y>0.2479</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11378</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>0.0984</X>
<Y>0.2482</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11512</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>0.0965</X>
<Y>0.2486</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11637</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>0.0946</X>
<Y>0.2490</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11743</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>0.0927</X>
<Y>0.2494</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11836</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>0.0908</X>
<Y>0.2499</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11908</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>0.0890</X>
<Y>0.2504</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11961</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>0.0871</X>
<Y>0.2509</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12001</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>0.0853</X>
<Y>0.2514</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12037</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>0.0834</X>
<Y>0.2520</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12073</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>0.0816</X>
<Y>0.2526</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12108</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>0.0798</X>
<Y>0.2532</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12151</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>0.0780</X>
<Y>0.2539</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12208</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>0.0762</X>
<Y>0.2546</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12282</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>0.0745</X>
<Y>0.2553</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12374</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>0.0727</X>
<Y>0.2560</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12474</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>0.0710</X>
<Y>0.2568</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12583</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>0.0693</X>
<Y>0.2576</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12697</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>0.0676</X>
<Y>0.2584</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12813</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>0.0659</X>
<Y>0.2593</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12929</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>0.0642</X>
<Y>0.2602</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13047</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>0.0626</X>
<Y>0.2611</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13162</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>0.0610</X>
<Y>0.2620</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13274</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>0.0594</X>
<Y>0.2629</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13389</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>0.0578</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13516</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>0.0562</X>
<Y>0.2649</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13658</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>0.0547</X>
<Y>0.2659</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13815</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>0.0531</X>
<Y>0.2670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13979</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>
