<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers">
<version>
<product>BulletinA</product>
<date>2018-01-11</date>
<volume>XXXI</volume>
<number>002</number>
</version>
<metaFileName/>
<headerLine>
<headerLineDate>
<sYear>Year</sYear>
<sMonth>Month</sMonth>
<sDay>Day</sDay>
<sTime>Time</sTime>
<sMJD>MJD</sMJD>
</headerLineDate>
<headerLineEOP>
<product source="BulletinA">
<sX>X</sX>
<ssigma_X>sigma_X</ssigma_X>
<sY>Y</sY>
<ssigma_Y>sigma_Y</ssigma_Y>
<sUT1-UTC>UT1-UTC</sUT1-UTC>
<ssigma_UT1-UTC>sigma_UT1-UTC</ssigma_UT1-UTC>
<sdPsi>dPsi</sdPsi>
<ssigma_dPsi>sigma_dPsi</ssigma_dPsi>
<sdEpsilon>dEpsilon</sdEpsilon>
<ssigma_dEpsilon>sigma_dEpsilon</ssigma_dEpsilon>
<sdX>dX</sdX>
<ssigma_dX>sigma_dX</ssigma_dX>
<sdY>dY</sdY>
<ssigma_dY>sigma_dY</ssigma_dY>
</product>
</headerLineEOP>
<headerLineUnits>
<product source="BulletinA">
<X>arcsec</X>
<sigma_X>arcsec</sigma_X>
<Y>arcsec</Y>
<sigma_Y>arcsec</sigma_Y>
<UT1-UTC>sec</UT1-UTC>
<sigma_UT1-UTC>sec</sigma_UT1-UTC>
<dPsi>marcsec</dPsi>
<sigma_dPsi>marcsec</sigma_dPsi>
<dEpsilon>marcsec</dEpsilon>
<sigma_dEpsilon>marcsec</sigma_dEpsilon>
<dX>marcsec</dX>
<sigma_dX>marcsec</sigma_dX>
<dY>marcsec</dY>
<sigma_dY>marcsec</sigma_dY>
</product>
</headerLineUnits>
</headerLine>
<data product="BulletinA" source="BulletinA">
<timeSeries>
<time>
<dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-103.37</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-8.77</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.264</dX>
<sigma_dX>0.119</sigma_dX>
<dY>-0.250</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.05349</X>
<sigma_X>.00009</sigma_X>
<Y>0.25161</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.213164</UT1-UTC>
<sigma_UT1-UTC>0.000015</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.05244</X>
<sigma_X>.00009</sigma_X>
<Y>0.25293</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.212274</UT1-UTC>
<sigma_UT1-UTC>0.000013</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.05095</X>
<sigma_X>.00009</sigma_X>
<Y>0.25413</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.211407</UT1-UTC>
<sigma_UT1-UTC>0.000013</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.04934</X>
<sigma_X>.00009</sigma_X>
<Y>0.25501</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.210577</UT1-UTC>
<sigma_UT1-UTC>0.000017</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.04801</X>
<sigma_X>.00009</sigma_X>
<Y>0.25590</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.209880</UT1-UTC>
<sigma_UT1-UTC>0.000019</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.04666</X>
<sigma_X>.00009</sigma_X>
<Y>0.25712</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.209335</UT1-UTC>
<sigma_UT1-UTC>0.000018</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.04508</X>
<sigma_X>.00009</sigma_X>
<Y>0.25851</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>0.208915</UT1-UTC>
<sigma_UT1-UTC>0.000018</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0434</X>
<Y>0.2598</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20856</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0418</X>
<Y>0.2612</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20831</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0401</X>
<Y>0.2625</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20818</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0384</X>
<Y>0.2638</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0368</X>
<Y>0.2650</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0352</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20823</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0336</X>
<Y>0.2675</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20822</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0320</X>
<Y>0.2688</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20811</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0305</X>
<Y>0.2701</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0289</X>
<Y>0.2715</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20752</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0274</X>
<Y>0.2728</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20700</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0260</X>
<Y>0.2742</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20636</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0246</X>
<Y>0.2756</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20565</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0232</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20491</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>0.0218</X>
<Y>0.2784</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20415</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>0.0204</X>
<Y>0.2799</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20341</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>0.0191</X>
<Y>0.2813</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20272</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>0.2828</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20205</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>0.0165</X>
<Y>0.2844</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20137</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>0.0153</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20061</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>0.0141</X>
<Y>0.2874</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19972</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>0.0129</X>
<Y>0.2890</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19868</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>0.0117</X>
<Y>0.2906</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19751</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>0.0106</X>
<Y>0.2922</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19628</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>0.0095</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19505</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>0.0084</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19388</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>0.0074</X>
<Y>0.2971</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19281</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>0.0064</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19183</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>0.0054</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19096</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>0.0045</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19018</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>0.3039</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18946</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0027</X>
<Y>0.3056</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18878</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>0.18808</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>0.3091</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18734</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>0.3109</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18652</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>-0.0005</X>
<Y>0.3127</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18557</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>0.18450</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>-0.0019</X>
<Y>0.3163</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18328</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>-0.0026</X>
<Y>0.3181</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18196</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>-0.0032</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18057</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>-0.0038</X>
<Y>0.3218</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17915</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>-0.0044</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17776</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>-0.0049</X>
<Y>0.3255</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17644</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>0.3273</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17522</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>-0.0058</X>
<Y>0.3292</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17408</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>-0.0062</X>
<Y>0.3311</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17297</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>-0.0066</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17184</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>-0.0069</X>
<Y>0.3349</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17061</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>0.3368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16924</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>-0.0075</X>
<Y>0.3387</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16773</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>0.3406</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16611</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>0.3425</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16447</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>0.3444</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16287</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>0.3464</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16137</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>0.3483</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16000</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>0.3502</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15878</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>0.3522</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15770</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>0.3541</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15673</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>0.3560</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15583</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>0.3580</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15496</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>0.3599</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15406</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>0.3618</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15310</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>-0.0080</X>
<Y>0.3638</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15203</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>0.3657</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15082</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>0.3676</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14946</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>0.3695</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14797</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>0.3715</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14640</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>0.3734</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14480</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>0.3753</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14324</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>0.3772</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14176</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>-0.0053</X>
<Y>0.3791</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14040</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>-0.0048</X>
<Y>0.3810</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13914</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>0.3829</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13794</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>-0.0037</X>
<Y>0.3848</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13675</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>-0.0031</X>
<Y>0.3866</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13548</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>-0.0025</X>
<Y>0.3885</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13410</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>-0.0018</X>
<Y>0.3904</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13257</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>-0.0011</X>
<Y>0.3922</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13093</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>58208</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0004</X>
<Y>0.3940</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12921</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>0.0004</X>
<Y>0.3959</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12751</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>0.0012</X>
<Y>0.3977</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12589</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>0.0020</X>
<Y>0.3995</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12439</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>0.0029</X>
<Y>0.4013</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12305</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>0.0037</X>
<Y>0.4031</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12186</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>0.0047</X>
<Y>0.4048</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12079</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>0.0056</X>
<Y>0.4066</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11982</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>0.0066</X>
<Y>0.4083</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11890</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>0.0076</X>
<Y>0.4101</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11796</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>0.0087</X>
<Y>0.4118</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11697</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>0.0098</X>
<Y>0.4135</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11589</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>0.0109</X>
<Y>0.4152</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11467</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>0.0120</X>
<Y>0.4168</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11330</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>0.0132</X>
<Y>0.4185</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11179</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>0.0144</X>
<Y>0.4201</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11016</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>0.0156</X>
<Y>0.4217</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10848</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>0.0168</X>
<Y>0.4233</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10681</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>0.0181</X>
<Y>0.4249</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10522</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>0.0194</X>
<Y>0.4265</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10377</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>0.0208</X>
<Y>0.4280</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10244</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>0.0221</X>
<Y>0.4296</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10121</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>0.0235</X>
<Y>0.4311</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10003</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>0.0250</X>
<Y>0.4325</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09881</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>0.0264</X>
<Y>0.4340</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09750</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>0.0279</X>
<Y>0.4354</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09608</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>0.0294</X>
<Y>0.4369</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09454</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>0.0309</X>
<Y>0.4383</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09292</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>0.0324</X>
<Y>0.4396</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09129</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>0.0340</X>
<Y>0.4410</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08971</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>0.0356</X>
<Y>0.4423</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08833</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>0.0372</X>
<Y>0.4436</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08710</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>0.0389</X>
<Y>0.4449</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08602</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>0.0405</X>
<Y>0.4462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08509</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>0.0422</X>
<Y>0.4474</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08428</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>0.0439</X>
<Y>0.4486</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08354</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>0.0456</X>
<Y>0.4498</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08283</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>0.0474</X>
<Y>0.4509</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08210</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>0.0491</X>
<Y>0.4521</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08131</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>0.0509</X>
<Y>0.4532</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08041</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>0.0527</X>
<Y>0.4543</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07939</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>0.0546</X>
<Y>0.4553</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07824</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>0.0564</X>
<Y>0.4563</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07698</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>0.0583</X>
<Y>0.4573</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07564</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>0.0601</X>
<Y>0.4583</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07429</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>0.0620</X>
<Y>0.4593</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07299</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>0.0639</X>
<Y>0.4602</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07182</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>0.0659</X>
<Y>0.4611</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07081</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>0.0678</X>
<Y>0.4619</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06992</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>0.0697</X>
<Y>0.4627</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06911</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>0.0717</X>
<Y>0.4635</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06831</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>0.0737</X>
<Y>0.4643</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06744</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>0.0757</X>
<Y>0.4651</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06649</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>0.0777</X>
<Y>0.4658</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06544</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>0.0797</X>
<Y>0.4665</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06433</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>0.0817</X>
<Y>0.4671</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06322</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>0.0838</X>
<Y>0.4677</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06215</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>0.0858</X>
<Y>0.4683</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06118</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>0.0879</X>
<Y>0.4689</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06035</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>0.0899</X>
<Y>0.4694</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05967</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>0.0920</X>
<Y>0.4699</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05915</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>0.0941</X>
<Y>0.4704</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05876</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>0.0962</X>
<Y>0.4708</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05847</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>0.0983</X>
<Y>0.4712</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05822</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>0.1003</X>
<Y>0.4716</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05798</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>0.4719</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05769</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>0.4723</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05732</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>0.1067</X>
<Y>0.4725</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05684</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>0.1088</X>
<Y>0.4728</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05625</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>0.1109</X>
<Y>0.4730</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05555</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>0.1130</X>
<Y>0.4732</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05475</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>0.4733</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05391</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>0.4735</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05309</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>0.4735</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05235</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>0.4736</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05174</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>0.4736</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05126</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>0.4736</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05089</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>0.4736</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05053</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>0.4735</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05013</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>0.4734</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04963</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>0.4733</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04903</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>0.4731</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04836</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>0.1385</X>
<Y>0.4729</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04767</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>0.4727</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04704</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>0.1426</X>
<Y>0.4724</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04650</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>0.1447</X>
<Y>0.4722</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04610</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>0.1468</X>
<Y>0.4718</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04585</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>0.1489</X>
<Y>0.4715</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04575</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>0.1509</X>
<Y>0.4711</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04577</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>0.1530</X>
<Y>0.4707</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04590</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>0.1550</X>
<Y>0.4702</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04609</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>0.1571</X>
<Y>0.4698</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04629</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>0.1591</X>
<Y>0.4692</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04646</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>0.1611</X>
<Y>0.4687</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04655</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>0.1631</X>
<Y>0.4681</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04655</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>0.1651</X>
<Y>0.4675</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04644</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>0.1671</X>
<Y>0.4669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04622</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>0.1690</X>
<Y>0.4663</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04592</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>0.1710</X>
<Y>0.4656</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04557</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>0.1729</X>
<Y>0.4649</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04521</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>58308</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1749</X>
<Y>0.4641</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>58309</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1768</X>
<Y>0.4633</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04471</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>58310</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1787</X>
<Y>0.4625</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04465</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>58311</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1805</X>
<Y>0.4617</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04471</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>0.1824</X>
<Y>0.4608</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04485</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>0.1842</X>
<Y>0.4600</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04497</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>0.1860</X>
<Y>0.4590</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04502</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>0.1879</X>
<Y>0.4581</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04499</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>0.1896</X>
<Y>0.4571</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04487</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>0.1914</X>
<Y>0.4561</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04475</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>0.1931</X>
<Y>0.4551</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04466</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>0.1949</X>
<Y>0.4540</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04465</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>0.1966</X>
<Y>0.4530</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04473</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>0.1983</X>
<Y>0.4519</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04489</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>0.1999</X>
<Y>0.4507</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04512</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>0.2016</X>
<Y>0.4496</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04538</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>0.2032</X>
<Y>0.4484</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04564</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>0.2048</X>
<Y>0.4472</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04587</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>0.2063</X>
<Y>0.4460</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04604</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>0.2079</X>
<Y>0.4447</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04613</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>0.2094</X>
<Y>0.4435</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04609</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>0.2109</X>
<Y>0.4422</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04593</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>0.2124</X>
<Y>0.4408</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04564</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>0.2138</X>
<Y>0.4395</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04522</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>0.2153</X>
<Y>0.4381</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04468</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>0.2167</X>
<Y>0.4368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04407</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>0.2180</X>
<Y>0.4354</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04342</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>0.2194</X>
<Y>0.4339</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04278</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>0.2207</X>
<Y>0.4325</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04219</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>0.2220</X>
<Y>0.4310</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04170</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>0.2232</X>
<Y>0.4295</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04132</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>0.2245</X>
<Y>0.4280</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04098</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>0.2257</X>
<Y>0.4265</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04063</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>0.2268</X>
<Y>0.4250</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.04018</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>0.2280</X>
<Y>0.4234</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03957</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>0.2291</X>
<Y>0.4218</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03880</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>0.2302</X>
<Y>0.4202</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03793</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>0.2312</X>
<Y>0.4186</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03703</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>0.2323</X>
<Y>0.4170</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03621</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>0.2332</X>
<Y>0.4154</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03553</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>0.2342</X>
<Y>0.4137</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03502</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>0.2351</X>
<Y>0.4120</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03464</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>0.2360</X>
<Y>0.4103</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03441</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>0.2369</X>
<Y>0.4087</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03432</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>0.2377</X>
<Y>0.4069</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03426</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>0.2385</X>
<Y>0.4052</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03417</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>0.2393</X>
<Y>0.4035</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03402</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>0.2401</X>
<Y>0.4017</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03372</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>0.2408</X>
<Y>0.4000</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03329</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>0.2414</X>
<Y>0.3982</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03272</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>0.2421</X>
<Y>0.3964</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03198</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>0.2427</X>
<Y>0.3946</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03106</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>0.2433</X>
<Y>0.3928</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.03006</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>0.2438</X>
<Y>0.3910</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02901</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>0.2443</X>
<Y>0.3892</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02792</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>0.2448</X>
<Y>0.3874</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02684</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>0.2452</X>
<Y>0.3856</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02577</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>0.2456</X>
<Y>0.3837</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02475</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>0.2460</X>
<Y>0.3819</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02378</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>0.2463</X>
<Y>0.3800</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02276</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>0.2466</X>
<Y>0.3782</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02161</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>0.2469</X>
<Y>0.3763</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.02029</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>0.2471</X>
<Y>0.3745</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01882</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>0.2473</X>
<Y>0.3726</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01722</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>0.2475</X>
<Y>0.3707</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01558</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>0.2476</X>
<Y>0.3689</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01403</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>0.2477</X>
<Y>0.3670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01258</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>0.2478</X>
<Y>0.3651</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.01120</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>0.2478</X>
<Y>0.3633</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00997</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>0.2478</X>
<Y>0.3614</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00889</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>0.2478</X>
<Y>0.3595</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00797</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>0.2477</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00717</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>0.2476</X>
<Y>0.3558</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00644</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>0.2474</X>
<Y>0.3539</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00569</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>0.2473</X>
<Y>0.3520</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00485</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>0.2470</X>
<Y>0.3502</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00386</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>0.2468</X>
<Y>0.3483</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00267</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>0.2465</X>
<Y>0.3465</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.00131</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>0.2462</X>
<Y>0.3446</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00009</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>0.2459</X>
<Y>0.3428</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00160</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>0.2455</X>
<Y>0.3409</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00318</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>0.2451</X>
<Y>0.3391</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00473</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>0.2446</X>
<Y>0.3372</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00620</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>0.2441</X>
<Y>0.3354</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00755</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>0.2436</X>
<Y>0.3336</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00875</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>0.2431</X>
<Y>0.3318</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.00984</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>0.2425</X>
<Y>0.3300</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01103</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>0.2419</X>
<Y>0.3282</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01229</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>0.2412</X>
<Y>0.3264</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01364</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>0.2406</X>
<Y>0.3247</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01508</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>0.2399</X>
<Y>0.3229</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01668</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>0.2391</X>
<Y>0.3211</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.01845</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>0.2384</X>
<Y>0.3194</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02028</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>0.2376</X>
<Y>0.3177</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02205</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>0.2367</X>
<Y>0.3160</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02369</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>0.2359</X>
<Y>0.3143</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02519</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>0.2350</X>
<Y>0.3126</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02657</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>0.2341</X>
<Y>0.3109</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02790</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>0.2331</X>
<Y>0.3092</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.02912</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>0.2321</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03029</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>0.2311</X>
<Y>0.3060</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03145</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>0.2301</X>
<Y>0.3044</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03264</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>0.2290</X>
<Y>0.3028</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03391</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>0.2279</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03526</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>0.2268</X>
<Y>0.2996</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03683</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>0.2256</X>
<Y>0.2981</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.03857</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>0.2245</X>
<Y>0.2965</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04043</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>0.2233</X>
<Y>0.2950</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04229</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>0.2220</X>
<Y>0.2935</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04409</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>0.2208</X>
<Y>0.2921</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04580</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>0.2195</X>
<Y>0.2906</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04738</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>0.2182</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04874</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>0.2169</X>
<Y>0.2878</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.04989</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>0.2155</X>
<Y>0.2864</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05094</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>0.2141</X>
<Y>0.2850</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05205</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>0.2127</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05328</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>0.2113</X>
<Y>0.2823</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05462</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>0.2098</X>
<Y>0.2810</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05611</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>0.2084</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05766</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>0.2069</X>
<Y>0.2785</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.05930</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>0.2054</X>
<Y>0.2772</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06092</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>0.2038</X>
<Y>0.2760</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06248</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>0.2023</X>
<Y>0.2748</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06392</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>0.2007</X>
<Y>0.2736</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06517</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>0.1991</X>
<Y>0.2725</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06625</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>0.1975</X>
<Y>0.2714</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06721</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>0.1959</X>
<Y>0.2703</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06807</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>0.1942</X>
<Y>0.2692</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06886</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>0.1925</X>
<Y>0.2682</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.06971</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>0.1908</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07063</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>0.1891</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07165</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>0.1874</X>
<Y>0.2652</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07285</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>0.1857</X>
<Y>0.2642</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07414</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>0.1839</X>
<Y>0.2633</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07551</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>0.1822</X>
<Y>0.2624</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07694</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>0.1804</X>
<Y>0.2616</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07836</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>0.1786</X>
<Y>0.2608</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.07975</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>0.1768</X>
<Y>0.2600</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08104</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>0.1750</X>
<Y>0.2592</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08222</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>0.1732</X>
<Y>0.2584</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08332</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>0.1713</X>
<Y>0.2577</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08440</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>0.1695</X>
<Y>0.2570</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08547</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>0.1676</X>
<Y>0.2564</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08653</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>0.1657</X>
<Y>0.2557</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08768</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>0.1639</X>
<Y>0.2551</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.08895</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>0.1620</X>
<Y>0.2545</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09037</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>0.1601</X>
<Y>0.2540</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09186</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>0.1582</X>
<Y>0.2535</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09333</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>0.1563</X>
<Y>0.2530</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09467</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>0.1543</X>
<Y>0.2525</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09589</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>0.1524</X>
<Y>0.2521</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09691</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>0.1505</X>
<Y>0.2517</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09772</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>0.1486</X>
<Y>0.2513</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09835</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>0.1466</X>
<Y>0.2510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09890</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>0.1447</X>
<Y>0.2507</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09940</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>0.1427</X>
<Y>0.2504</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.09986</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>0.1408</X>
<Y>0.2502</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10036</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>0.1388</X>
<Y>0.2499</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10098</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>0.1369</X>
<Y>0.2497</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10175</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>0.1349</X>
<Y>0.2496</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10272</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>0.1330</X>
<Y>0.2495</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10377</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>0.1310</X>
<Y>0.2494</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10493</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>0.1291</X>
<Y>0.2493</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10618</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>0.1271</X>
<Y>0.2493</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10747</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>0.1252</X>
<Y>0.2492</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.10877</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>0.1232</X>
<Y>0.2493</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11009</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>0.1213</X>
<Y>0.2493</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11133</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>0.1194</X>
<Y>0.2494</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11251</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>0.1174</X>
<Y>0.2495</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11364</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>0.1155</X>
<Y>0.2497</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11481</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>0.1136</X>
<Y>0.2498</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11608</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>0.1117</X>
<Y>0.2500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11747</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>0.1097</X>
<Y>0.2503</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.11894</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>0.1078</X>
<Y>0.2505</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12046</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>0.1059</X>
<Y>0.2508</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12195</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>0.1041</X>
<Y>0.2511</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12335</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>0.1022</X>
<Y>0.2515</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12461</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>0.1003</X>
<Y>0.2518</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12568</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>0.0985</X>
<Y>0.2523</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12656</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>0.0966</X>
<Y>0.2527</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12727</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>0.0948</X>
<Y>0.2532</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12785</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>0.0929</X>
<Y>0.2536</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12837</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>0.0911</X>
<Y>0.2542</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12886</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>0.0893</X>
<Y>0.2547</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.12940</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>0.0875</X>
<Y>0.2553</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13004</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>0.0858</X>
<Y>0.2559</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13078</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>0.0840</X>
<Y>0.2565</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.13167</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>
