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<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0608</X>
<Y>0.2498</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21835</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0589</X>
<Y>0.2507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21743</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0570</X>
<Y>0.2516</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21658</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0551</X>
<Y>0.2526</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0532</X>
<Y>0.2536</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0513</X>
<Y>0.2546</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21389</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0494</X>
<Y>0.2557</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21284</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0476</X>
<Y>0.2568</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21175</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0458</X>
<Y>0.2579</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21067</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0440</X>
<Y>0.2590</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20965</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0422</X>
<Y>0.2602</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20874</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0405</X>
<Y>0.2614</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20796</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>0.0387</X>
<Y>0.2626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20730</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>0.0370</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20675</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>0.0353</X>
<Y>0.2652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20630</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>0.0337</X>
<Y>0.2665</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20593</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>0.0320</X>
<Y>0.2678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20558</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>0.0304</X>
<Y>0.2692</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20523</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>0.0288</X>
<Y>0.2706</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20481</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>0.0272</X>
<Y>0.2720</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20429</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>0.0257</X>
<Y>0.2734</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20365</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>0.0241</X>
<Y>0.2749</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20287</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>0.0226</X>
<Y>0.2763</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20196</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>0.0212</X>
<Y>0.2778</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20095</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>0.0197</X>
<Y>0.2794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19986</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>0.0183</X>
<Y>0.2809</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19876</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>0.0169</X>
<Y>0.2825</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19768</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>0.0155</X>
<Y>0.2841</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19668</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>0.0142</X>
<Y>0.2857</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19576</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>0.0129</X>
<Y>0.2873</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19492</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>0.0116</X>
<Y>0.2890</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19409</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>0.0103</X>
<Y>0.2907</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19321</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>0.0091</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19221</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>0.0079</X>
<Y>0.2941</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19108</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>0.0068</X>
<Y>0.2958</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18984</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>0.0056</X>
<Y>0.2976</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18854</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>0.0045</X>
<Y>0.2993</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18726</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>0.0034</X>
<Y>0.3011</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18605</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>0.0024</X>
<Y>0.3029</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18494</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>0.0014</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18395</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>0.0004</X>
<Y>0.3066</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18307</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>-0.0005</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18229</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>-0.0014</X>
<Y>0.3103</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18158</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>-0.0023</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18090</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>-0.0032</X>
<Y>0.3141</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18020</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0040</X>
<Y>0.3160</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17944</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0048</X>
<Y>0.3179</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17858</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0055</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17759</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0062</X>
<Y>0.3218</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17645</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.3238</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17517</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0075</X>
<Y>0.3257</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17377</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0081</X>
<Y>0.3277</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17229</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0087</X>
<Y>0.3297</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17078</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0093</X>
<Y>0.3317</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16929</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0098</X>
<Y>0.3337</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16787</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0102</X>
<Y>0.3357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16653</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0107</X>
<Y>0.3377</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16526</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0111</X>
<Y>0.3398</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16402</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0114</X>
<Y>0.3418</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16274</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0117</X>
<Y>0.3439</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16136</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>58178</MJD>
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<dataEOP><pole type="prediction"><X>-0.0120</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15983</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
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<dataEOP><pole type="prediction"><X>-0.0123</X>
<Y>0.3480</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15815</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0125</X>
<Y>0.3500</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15637</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58181</MJD>
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<dataEOP><pole type="prediction"><X>-0.0127</X>
<Y>0.3521</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15456</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58182</MJD>
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<dataEOP><pole type="prediction"><X>-0.0128</X>
<Y>0.3542</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15280</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58183</MJD>
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<dataEOP><pole type="prediction"><X>-0.0129</X>
<Y>0.3562</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15113</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58184</MJD>
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<dataEOP><pole type="prediction"><X>-0.0130</X>
<Y>0.3583</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14960</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58185</MJD>
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<dataEOP><pole type="prediction"><X>-0.0130</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14821</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58186</MJD>
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<dataEOP><pole type="prediction"><X>-0.0130</X>
<Y>0.3625</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14694</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58187</MJD>
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<dataEOP><pole type="prediction"><X>-0.0130</X>
<Y>0.3645</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14576</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58188</MJD>
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<dataEOP><pole type="prediction"><X>-0.0129</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14464</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58189</MJD>
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<dataEOP><pole type="prediction"><X>-0.0128</X>
<Y>0.3687</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14352</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58190</MJD>
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<dataEOP><pole type="prediction"><X>-0.0127</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14237</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58191</MJD>
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<dataEOP><pole type="prediction"><X>-0.0125</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14113</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58192</MJD>
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<dataEOP><pole type="prediction"><X>-0.0123</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13976</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58193</MJD>
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<dataEOP><pole type="prediction"><X>-0.0120</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13826</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58194</MJD>
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<dataEOP><pole type="prediction"><X>-0.0117</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13660</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58195</MJD>
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<dataEOP><pole type="prediction"><X>-0.0114</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13480</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58196</MJD>
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<dataEOP><pole type="prediction"><X>-0.0110</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13303</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58197</MJD>
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<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.3853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13122</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58198</MJD>
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<dataEOP><pole type="prediction"><X>-0.0102</X>
<Y>0.3873</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12946</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58199</MJD>
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<dataEOP><pole type="prediction"><X>-0.0097</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12779</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58200</MJD>
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<dataEOP><pole type="prediction"><X>-0.0092</X>
<Y>0.3914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12622</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58201</MJD>
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<dataEOP><pole type="prediction"><X>-0.0087</X>
<Y>0.3934</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12476</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58202</MJD>
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<dataEOP><pole type="prediction"><X>-0.0081</X>
<Y>0.3955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12336</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58203</MJD>
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<dataEOP><pole type="prediction"><X>-0.0075</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12196</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0068</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12049</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58205</MJD>
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<dataEOP><pole type="prediction"><X>-0.0062</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11890</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58206</MJD>
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<dataEOP><pole type="prediction"><X>-0.0054</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11717</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0047</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11531</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58208</MJD>
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<dataEOP><pole type="prediction"><X>-0.0039</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11339</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0031</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11147</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0022</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10964</UT1-UTC>
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<dataEOP><pole type="prediction"><X>-0.0013</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10793</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0004</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10636</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0005</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10495</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0015</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10367</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.10247</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0036</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10133</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0047</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10018</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0058</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09899</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0070</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09770</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0082</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09628</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0094</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09473</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58222</MJD>
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<dataEOP><pole type="prediction"><X>0.0106</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09304</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58223</MJD>
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<dataEOP><pole type="prediction"><X>0.0119</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09125</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58224</MJD>
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<dataEOP><pole type="prediction"><X>0.0132</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08940</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58225</MJD>
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<dataEOP><pole type="prediction"><X>0.0145</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08758</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58226</MJD>
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<dataEOP><pole type="prediction"><X>0.0159</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08584</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58227</MJD>
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<dataEOP><pole type="prediction"><X>0.0173</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08424</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58228</MJD>
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<dataEOP><pole type="prediction"><X>0.0187</X>
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<UT type="prediction"><UT1-UTC>0.08277</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58229</MJD>
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<dataEOP><pole type="prediction"><X>0.0202</X>
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<UT type="prediction"><UT1-UTC>0.08140</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58230</MJD>
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<dataEOP><pole type="prediction"><X>0.0217</X>
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<UT type="prediction"><UT1-UTC>0.08008</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58231</MJD>
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<dataEOP><pole type="prediction"><X>0.0232</X>
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<UT type="prediction"><UT1-UTC>0.07872</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58232</MJD>
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<dataEOP><pole type="prediction"><X>0.0247</X>
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<UT type="prediction"><UT1-UTC>0.07729</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58233</MJD>
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<dataEOP><pole type="prediction"><X>0.0263</X>
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<UT type="prediction"><UT1-UTC>0.07574</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58234</MJD>
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<dataEOP><pole type="prediction"><X>0.0279</X>
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<UT type="prediction"><UT1-UTC>0.07408</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58235</MJD>
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<dataEOP><pole type="prediction"><X>0.0295</X>
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<UT type="prediction"><UT1-UTC>0.07235</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58236</MJD>
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<dataEOP><pole type="prediction"><X>0.0311</X>
<Y>0.4563</Y>
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<UT type="prediction"><UT1-UTC>0.07061</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58237</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0328</X>
<Y>0.4577</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06893</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58238</MJD>
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<UT type="prediction"><UT1-UTC>0.06736</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.06595</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0379</X>
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<UT type="prediction"><UT1-UTC>0.06469</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0397</X>
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<UT type="prediction"><UT1-UTC>0.06359</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58242</MJD>
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<dataEOP><pole type="prediction"><X>0.0415</X>
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<UT type="prediction"><UT1-UTC>0.06260</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58243</MJD>
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<dataEOP><pole type="prediction"><X>0.0433</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06170</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0451</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06083</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0470</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05994</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0489</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05899</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0508</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05794</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0527</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05678</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0546</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05548</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0566</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05407</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0585</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05259</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58252</MJD>
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<dataEOP><pole type="prediction"><X>0.0605</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05109</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58253</MJD>
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<dataEOP><pole type="prediction"><X>0.0625</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04966</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58254</MJD>
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<dataEOP><pole type="prediction"><X>0.0645</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04835</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58255</MJD>
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<dataEOP><pole type="prediction"><X>0.0666</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04719</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58256</MJD>
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<dataEOP><pole type="prediction"><X>0.0686</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04617</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58257</MJD>
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<dataEOP><pole type="prediction"><X>0.0707</X>
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<UT type="prediction"><UT1-UTC>0.04522</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.04428</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.04328</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0770</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04219</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58261</MJD>
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<dataEOP><pole type="prediction"><X>0.0791</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04102</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58262</MJD>
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<dataEOP><pole type="prediction"><X>0.0813</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03978</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58263</MJD>
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<dataEOP><pole type="prediction"><X>0.0834</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03854</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0856</X>
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<UT type="prediction"><UT1-UTC>0.03735</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58265</MJD>
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<dataEOP><pole type="prediction"><X>0.0878</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03626</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58266</MJD>
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<dataEOP><pole type="prediction"><X>0.0899</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03532</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58267</MJD>
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<dataEOP><pole type="prediction"><X>0.0921</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03454</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58268</MJD>
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<dataEOP><pole type="prediction"><X>0.0943</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03392</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58269</MJD>
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<dataEOP><pole type="prediction"><X>0.0965</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03342</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0988</X>
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<UT type="prediction"><UT1-UTC>0.03303</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03269</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.03234</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03195</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1077</X>
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<UT type="prediction"><UT1-UTC>0.03146</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.03085</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58276</MJD>
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<dataEOP><pole type="prediction"><X>0.1122</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03011</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58277</MJD>
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<dataEOP><pole type="prediction"><X>0.1145</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02924</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58278</MJD>
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<dataEOP><pole type="prediction"><X>0.1167</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02826</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58279</MJD>
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<dataEOP><pole type="prediction"><X>0.1190</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02722</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1212</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02618</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58281</MJD>
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<dataEOP><pole type="prediction"><X>0.1235</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02524</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58282</MJD>
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<dataEOP><pole type="prediction"><X>0.1258</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02442</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58283</MJD>
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<dataEOP><pole type="prediction"><X>0.1280</X>
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<UT type="prediction"><UT1-UTC>0.02373</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58284</MJD>
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<dataEOP><pole type="prediction"><X>0.1303</X>
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<UT type="prediction"><UT1-UTC>0.02314</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58285</MJD>
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<dataEOP><pole type="prediction"><X>0.1326</X>
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<UT type="prediction"><UT1-UTC>0.02255</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58286</MJD>
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<dataEOP><pole type="prediction"><X>0.1348</X>
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<UT type="prediction"><UT1-UTC>0.02188</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58287</MJD>
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<dataEOP><pole type="prediction"><X>0.1371</X>
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<UT type="prediction"><UT1-UTC>0.02109</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58288</MJD>
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<dataEOP><pole type="prediction"><X>0.1394</X>
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<UT type="prediction"><UT1-UTC>0.02017</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58289</MJD>
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<dataEOP><pole type="prediction"><X>0.1416</X>
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<UT type="prediction"><UT1-UTC>0.01915</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58290</MJD>
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<UT type="prediction"><UT1-UTC>0.01809</UT1-UTC>
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<MJD>58291</MJD>
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<dataEOP><pole type="prediction"><X>0.1461</X>
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<UT type="prediction"><UT1-UTC>0.01707</UT1-UTC>
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<MJD>58292</MJD>
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<UT type="prediction"><UT1-UTC>0.01615</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.01538</UT1-UTC>
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<MJD>58294</MJD>
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<UT type="prediction"><UT1-UTC>0.01478</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58295</MJD>
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<dataEOP><pole type="prediction"><X>0.1550</X>
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<UT type="prediction"><UT1-UTC>0.01436</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58296</MJD>
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<dataEOP><pole type="prediction"><X>0.1572</X>
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<UT type="prediction"><UT1-UTC>0.01409</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1594</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01393</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1616</X>
<Y>0.4900</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01383</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58299</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1638</X>
<Y>0.4895</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01375</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>58300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1660</X>
<Y>0.4890</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01363</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>58301</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1682</X>
<Y>0.4885</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01341</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>58302</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1703</X>
<Y>0.4879</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01309</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1725</X>
<Y>0.4873</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01265</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>58304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1746</X>
<Y>0.4866</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01212</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>0.1767</X>
<Y>0.4860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01149</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58306</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1788</X>
<Y>0.4853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01082</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58307</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1809</X>
<Y>0.4845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01017</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>0.1830</X>
<Y>0.4837</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00960</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1850</X>
<Y>0.4829</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00913</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>0.1871</X>
<Y>0.4821</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00872</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>0.1891</X>
<Y>0.4813</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00837</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58312</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1911</X>
<Y>0.4804</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00811</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>0.1931</X>
<Y>0.4795</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00786</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>0.1951</X>
<Y>0.4785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00754</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>0.1971</X>
<Y>0.4775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00705</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>0.1990</X>
<Y>0.4765</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00644</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58317</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2009</X>
<Y>0.4755</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00580</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58318</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2028</X>
<Y>0.4744</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00519</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58319</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2047</X>
<Y>0.4733</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00464</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>58320</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2066</X>
<Y>0.4722</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00417</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>0.2084</X>
<Y>0.4711</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00375</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>0.2102</X>
<Y>0.4699</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00348</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>0.2120</X>
<Y>0.4687</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00333</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>58324</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2138</X>
<Y>0.4675</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00327</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>58325</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2155</X>
<Y>0.4662</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00328</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>58326</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2173</X>
<Y>0.4649</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00332</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>58327</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2190</X>
<Y>0.4636</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00335</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>0.2206</X>
<Y>0.4623</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00321</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>58329</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2223</X>
<Y>0.4609</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00293</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>58330</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2239</X>
<Y>0.4595</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00251</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>58331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2255</X>
<Y>0.4581</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00203</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>58332</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2271</X>
<Y>0.4567</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00152</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58333</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2286</X>
<Y>0.4553</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00095</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>58334</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2302</X>
<Y>0.4538</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00040</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58335</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2317</X>
<Y>0.4523</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00007</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>58336</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2331</X>
<Y>0.4508</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00037</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>58337</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2346</X>
<Y>0.4492</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00054</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>58338</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2360</X>
<Y>0.4477</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00067</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>58339</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2374</X>
<Y>0.4461</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00079</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>58340</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2387</X>
<Y>0.4445</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00094</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>58341</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2400</X>
<Y>0.4429</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00118</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>58342</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2413</X>
<Y>0.4412</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00152</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58343</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2426</X>
<Y>0.4396</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00204</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>58344</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2438</X>
<Y>0.4379</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00267</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>58345</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2450</X>
<Y>0.4362</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00336</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>58346</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2462</X>
<Y>0.4345</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00402</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58347</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2473</X>
<Y>0.4328</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00455</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58348</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2484</X>
<Y>0.4310</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00493</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58349</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2495</X>
<Y>0.4292</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00517</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58350</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2506</X>
<Y>0.4275</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00527</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58351</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2516</X>
<Y>0.4257</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00525</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58352</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2525</X>
<Y>0.4239</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00522</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58353</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2535</X>
<Y>0.4220</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00519</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58354</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2544</X>
<Y>0.4202</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00520</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58355</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2553</X>
<Y>0.4184</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00535</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>58356</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2561</X>
<Y>0.4165</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00559</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>58357</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2569</X>
<Y>0.4146</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00594</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58358</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2577</X>
<Y>0.4127</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00640</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58359</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2585</X>
<Y>0.4108</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00695</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58360</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2592</X>
<Y>0.4089</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00757</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58361</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2598</X>
<Y>0.4070</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00823</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58362</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2605</X>
<Y>0.4051</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00889</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58363</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2611</X>
<Y>0.4031</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00956</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58364</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2617</X>
<Y>0.4012</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01021</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58365</MJD>
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<dataEOP><pole type="prediction"><X>0.2622</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01079</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58366</MJD>
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<dataEOP><pole type="prediction"><X>0.2627</X>
<Y>0.3973</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01127</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58367</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2632</X>
<Y>0.3953</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01174</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58368</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2636</X>
<Y>0.3933</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01230</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58369</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2640</X>
<Y>0.3914</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01305</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58370</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2644</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01400</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58371</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2647</X>
<Y>0.3874</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01510</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58372</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2650</X>
<Y>0.3854</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01624</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58373</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2652</X>
<Y>0.3834</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01739</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58374</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2654</X>
<Y>0.3814</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01842</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58375</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2656</X>
<Y>0.3794</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01926</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58376</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2658</X>
<Y>0.3774</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01990</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58377</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2659</X>
<Y>0.3754</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02043</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58378</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2659</X>
<Y>0.3734</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02084</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58379</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2660</X>
<Y>0.3714</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02115</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58380</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2660</X>
<Y>0.3694</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02142</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58381</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2660</X>
<Y>0.3674</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02177</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58382</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2659</X>
<Y>0.3654</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02224</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58383</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2658</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02289</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58384</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2656</X>
<Y>0.3614</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02367</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58385</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2655</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02460</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58386</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2653</X>
<Y>0.3574</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02569</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58387</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2650</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02692</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58388</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2647</X>
<Y>0.3534</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02826</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58389</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2644</X>
<Y>0.3514</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02971</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58390</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2641</X>
<Y>0.3494</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03115</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58391</MJD>
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<dataEOP><pole type="prediction"><X>0.2637</X>
<Y>0.3475</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03253</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58392</MJD>
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<dataEOP><pole type="prediction"><X>0.2633</X>
<Y>0.3455</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03380</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58393</MJD>
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<dataEOP><pole type="prediction"><X>0.2628</X>
<Y>0.3436</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03500</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58394</MJD>
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<dataEOP><pole type="prediction"><X>0.2623</X>
<Y>0.3416</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03617</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58395</MJD>
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<dataEOP><pole type="prediction"><X>0.2618</X>
<Y>0.3397</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03737</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58396</MJD>
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<dataEOP><pole type="prediction"><X>0.2612</X>
<Y>0.3377</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03866</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58397</MJD>
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<dataEOP><pole type="prediction"><X>0.2607</X>
<Y>0.3358</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04010</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58398</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2600</X>
<Y>0.3339</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04170</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58399</MJD>
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<dataEOP><pole type="prediction"><X>0.2594</X>
<Y>0.3320</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04341</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58400</MJD>
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<dataEOP><pole type="prediction"><X>0.2587</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04517</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58401</MJD>
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<dataEOP><pole type="prediction"><X>0.2580</X>
<Y>0.3282</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04684</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58402</MJD>
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<dataEOP><pole type="prediction"><X>0.2572</X>
<Y>0.3264</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04836</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58403</MJD>
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<dataEOP><pole type="prediction"><X>0.2564</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04970</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58404</MJD>
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<dataEOP><pole type="prediction"><X>0.2556</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05085</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58405</MJD>
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<dataEOP><pole type="prediction"><X>0.2548</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05184</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58406</MJD>
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<dataEOP><pole type="prediction"><X>0.2539</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05272</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58407</MJD>
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<dataEOP><pole type="prediction"><X>0.2530</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05355</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58408</MJD>
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<dataEOP><pole type="prediction"><X>0.2520</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05440</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58409</MJD>
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<dataEOP><pole type="prediction"><X>0.2510</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05530</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58410</MJD>
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<dataEOP><pole type="prediction"><X>0.2500</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05631</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58411</MJD>
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<dataEOP><pole type="prediction"><X>0.2490</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05745</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58412</MJD>
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<dataEOP><pole type="prediction"><X>0.2479</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05876</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58413</MJD>
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<dataEOP><pole type="prediction"><X>0.2468</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06021</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58414</MJD>
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<dataEOP><pole type="prediction"><X>0.2457</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06178</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58415</MJD>
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<dataEOP><pole type="prediction"><X>0.2446</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06345</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58416</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2434</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.06512</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58417</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2422</X>
<Y>0.3001</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.06669</UT1-UTC>
</UT>
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