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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58007</MJD>
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<dataEOP><pole type="prediction"><X>0.2239</X>
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<UT type="prediction"><UT1-UTC>0.32734</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58008</MJD>
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<dataEOP><pole type="prediction"><X>0.2234</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32619</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58009</MJD>
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<dataEOP><pole type="prediction"><X>0.2228</X>
<Y>0.3390</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32514</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58010</MJD>
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<dataEOP><pole type="prediction"><X>0.2222</X>
<Y>0.3374</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32418</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58011</MJD>
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<dataEOP><pole type="prediction"><X>0.2216</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32325</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58012</MJD>
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<dataEOP><pole type="prediction"><X>0.2209</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32227</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58013</MJD>
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<dataEOP><pole type="prediction"><X>0.2203</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32118</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2196</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31996</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58015</MJD>
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<dataEOP><pole type="prediction"><X>0.2188</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31861</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58016</MJD>
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<dataEOP><pole type="prediction"><X>0.2180</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31718</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58017</MJD>
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<dataEOP><pole type="prediction"><X>0.2172</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31572</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58018</MJD>
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<dataEOP><pole type="prediction"><X>0.2164</X>
<Y>0.3253</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31428</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58019</MJD>
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<dataEOP><pole type="prediction"><X>0.2155</X>
<Y>0.3239</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31292</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58020</MJD>
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<dataEOP><pole type="prediction"><X>0.2146</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31166</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58021</MJD>
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<dataEOP><pole type="prediction"><X>0.2137</X>
<Y>0.3210</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31051</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2127</X>
<Y>0.3196</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30948</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2117</X>
<Y>0.3181</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30852</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2107</X>
<Y>0.3167</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30763</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2097</X>
<Y>0.3153</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30673</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2086</X>
<Y>0.3140</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30580</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2075</X>
<Y>0.3126</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30476</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2064</X>
<Y>0.3113</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30359</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2053</X>
<Y>0.3099</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30226</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2041</X>
<Y>0.3086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30073</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2029</X>
<Y>0.3073</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29904</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2016</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29723</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29538</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29356</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.3023</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29185</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1965</X>
<Y>0.3011</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29027</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1951</X>
<Y>0.2999</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28879</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1937</X>
<Y>0.2987</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28738</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1923</X>
<Y>0.2976</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28597</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1909</X>
<Y>0.2964</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28450</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1895</X>
<Y>0.2953</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28294</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1880</X>
<Y>0.2942</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28127</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1865</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27951</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1850</X>
<Y>0.2921</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27770</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1835</X>
<Y>0.2911</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27590</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1819</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27417</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1804</X>
<Y>0.2891</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27253</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1788</X>
<Y>0.2881</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27101</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1772</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26961</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1755</X>
<Y>0.2862</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26831</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1739</X>
<Y>0.2853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26709</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1722</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26590</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1705</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26470</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1688</X>
<Y>0.2828</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26343</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1671</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26206</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1654</X>
<Y>0.2812</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26055</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1636</X>
<Y>0.2804</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25888</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1618</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25706</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1601</X>
<Y>0.2790</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25511</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1583</X>
<Y>0.2783</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25309</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1565</X>
<Y>0.2777</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25110</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1546</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24920</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1528</X>
<Y>0.2764</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24745</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1510</X>
<Y>0.2759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24584</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1491</X>
<Y>0.2753</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24436</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1472</X>
<Y>0.2748</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24292</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24146</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23995</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23835</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23670</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23501</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23334</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23172</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23021</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22881</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22754</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1260</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22639</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1241</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22535</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1221</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22437</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1201</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22342</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1181</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22244</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1161</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22140</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1142</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22025</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1122</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21896</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1102</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21753</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1082</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21596</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1062</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21428</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1042</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21256</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1022</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21089</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1002</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20932</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0983</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20786</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0963</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20652</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0943</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20526</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0923</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20399</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0903</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20267</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0884</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20128</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0864</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19981</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0845</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19832</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0825</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19684</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0806</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19541</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0786</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19408</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0767</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19286</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0748</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19176</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0729</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19079</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
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<dataEOP><pole type="prediction"><X>0.0710</X>
<Y>0.2763</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18991</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58106</MJD>
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<dataEOP><pole type="prediction"><X>0.0691</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18911</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0672</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18833</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0653</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18755</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58109</MJD>
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<dataEOP><pole type="prediction"><X>0.0635</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18671</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0616</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18577</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58111</MJD>
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<dataEOP><pole type="prediction"><X>0.0598</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18472</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0580</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18353</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0562</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18221</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0544</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18079</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0526</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17931</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0509</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17782</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0491</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17639</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58118</MJD>
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<dataEOP><pole type="prediction"><X>0.0474</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17506</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58119</MJD>
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<dataEOP><pole type="prediction"><X>0.0457</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17385</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0440</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17271</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0423</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17159</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0407</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17041</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0390</X>
<Y>0.2915</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16913</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0374</X>
<Y>0.2926</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16776</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0358</X>
<Y>0.2937</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16633</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0342</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16490</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58127</MJD>
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<dataEOP><pole type="prediction"><X>0.0327</X>
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<UT type="prediction"><UT1-UTC>0.16352</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0312</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16224</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0296</X>
<Y>0.2984</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16106</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0281</X>
<Y>0.2996</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16002</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0267</X>
<Y>0.3008</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15909</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0252</X>
<Y>0.3021</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15827</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0238</X>
<Y>0.3034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15751</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0224</X>
<Y>0.3047</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15679</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0210</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15607</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0197</X>
<Y>0.3074</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15529</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0184</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15442</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0171</X>
<Y>0.3102</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15343</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0158</X>
<Y>0.3116</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15230</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0145</X>
<Y>0.3131</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15105</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0133</X>
<Y>0.3145</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14969</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0121</X>
<Y>0.3160</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14827</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0110</X>
<Y>0.3175</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14683</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0098</X>
<Y>0.3190</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14541</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0087</X>
<Y>0.3205</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14407</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0076</X>
<Y>0.3221</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14282</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0066</X>
<Y>0.3237</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14165</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0055</X>
<Y>0.3252</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14049</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0045</X>
<Y>0.3268</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13927</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0036</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13794</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0026</X>
<Y>0.3301</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13647</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0017</X>
<Y>0.3317</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13490</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0008</X>
<Y>0.3334</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13328</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0000</X>
<Y>0.3351</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13167</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0008</X>
<Y>0.3367</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13014</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0016</X>
<Y>0.3384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12873</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0024</X>
<Y>0.3402</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12744</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0031</X>
<Y>0.3419</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12628</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0038</X>
<Y>0.3436</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12523</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58160</MJD>
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<dataEOP><pole type="prediction"><X>-0.0044</X>
<Y>0.3454</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12426</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3471</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12333</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0057</X>
<Y>0.3489</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12239</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0062</X>
<Y>0.3507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12141</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0067</X>
<Y>0.3524</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12033</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0072</X>
<Y>0.3542</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11914</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0077</X>
<Y>0.3560</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11782</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0081</X>
<Y>0.3579</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11637</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0085</X>
<Y>0.3597</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11482</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0089</X>
<Y>0.3615</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11322</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0092</X>
<Y>0.3633</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11164</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0095</X>
<Y>0.3652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11011</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0098</X>
<Y>0.3670</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10870</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0100</X>
<Y>0.3689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10741</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0102</X>
<Y>0.3707</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10623</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0104</X>
<Y>0.3726</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10511</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0105</X>
<Y>0.3744</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10397</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.3763</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10274</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.3782</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10135</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0107</X>
<Y>0.3800</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09981</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0107</X>
<Y>0.3819</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09815</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.3838</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09644</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58182</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0105</X>
<Y>0.3857</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09475</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0104</X>
<Y>0.3875</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09313</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0103</X>
<Y>0.3894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09160</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0101</X>
<Y>0.3913</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09017</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0099</X>
<Y>0.3931</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08882</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0096</X>
<Y>0.3950</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08756</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>58188</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0093</X>
<Y>0.3969</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08634</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>58189</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0090</X>
<Y>0.3987</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08514</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>58190</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0086</X>
<Y>0.4006</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08392</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>58191</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0083</X>
<Y>0.4024</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08267</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>58192</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0078</X>
<Y>0.4043</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08132</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58193</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0074</X>
<Y>0.4061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07987</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.4080</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07830</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58195</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0064</X>
<Y>0.4098</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07662</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>58196</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0058</X>
<Y>0.4116</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07486</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>58197</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0052</X>
<Y>0.4135</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07307</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58198</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0046</X>
<Y>0.4153</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07132</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58199</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.4171</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06964</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58200</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0032</X>
<Y>0.4189</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06806</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0025</X>
<Y>0.4207</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06657</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0018</X>
<Y>0.4224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06512</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58203</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0010</X>
<Y>0.4242</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06366</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58204</MJD>
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<dataEOP><pole type="prediction"><X>-0.0002</X>
<Y>0.4260</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06211</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58205</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06042</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58206</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0016</X>
<Y>0.4294</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05860</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58207</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0025</X>
<Y>0.4312</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05669</UT1-UTC>
</UT>
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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>0.0034</X>
<Y>0.4329</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05474</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58209</MJD>
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<dataEOP><pole type="prediction"><X>0.0044</X>
<Y>0.4346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05279</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58210</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0054</X>
<Y>0.4363</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05089</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58211</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0065</X>
<Y>0.4379</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04906</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58212</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0075</X>
<Y>0.4396</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04733</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58213</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0086</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04575</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58214</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0098</X>
<Y>0.4429</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04431</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58215</MJD>
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<dataEOP><pole type="prediction"><X>0.0109</X>
<Y>0.4445</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04295</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58216</MJD>
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<dataEOP><pole type="prediction"><X>0.0121</X>
<Y>0.4461</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04165</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58217</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0133</X>
<Y>0.4476</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04035</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58218</MJD>
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<dataEOP><pole type="prediction"><X>0.0146</X>
<Y>0.4492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03897</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58219</MJD>
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<dataEOP><pole type="prediction"><X>0.0159</X>
<Y>0.4507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03750</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58220</MJD>
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<dataEOP><pole type="prediction"><X>0.0172</X>
<Y>0.4523</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03592</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58221</MJD>
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<dataEOP><pole type="prediction"><X>0.0185</X>
<Y>0.4538</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03422</UT1-UTC>
</UT>
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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>0.0198</X>
<Y>0.4553</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03236</UT1-UTC>
</UT>
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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>0.0212</X>
<Y>0.4567</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03039</UT1-UTC>
</UT>
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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>0.0226</X>
<Y>0.4582</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02841</UT1-UTC>
</UT>
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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>0.0241</X>
<Y>0.4596</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02648</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58226</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0255</X>
<Y>0.4610</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02463</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58227</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0270</X>
<Y>0.4624</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02293</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58228</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0285</X>
<Y>0.4638</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02140</UT1-UTC>
</UT>
</dataEOP>
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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>0.0301</X>
<Y>0.4652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01994</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58230</MJD>
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<dataEOP><pole type="prediction"><X>0.0316</X>
<Y>0.4665</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01854</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58231</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0332</X>
<Y>0.4678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01713</UT1-UTC>
</UT>
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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>0.0348</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01564</UT1-UTC>
</UT>
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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>0.0365</X>
<Y>0.4703</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01405</UT1-UTC>
</UT>
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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>0.0381</X>
<Y>0.4716</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01235</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58235</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0398</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01056</UT1-UTC>
</UT>
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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>0.0415</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00878</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58237</MJD>
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<dataEOP><pole type="prediction"><X>0.0432</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00707</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58238</MJD>
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<dataEOP><pole type="prediction"><X>0.0449</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00549</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58239</MJD>
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<dataEOP><pole type="prediction"><X>0.0467</X>
<Y>0.4774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00406</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58240</MJD>
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<dataEOP><pole type="prediction"><X>0.0485</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00278</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58241</MJD>
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<dataEOP><pole type="prediction"><X>0.0503</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00160</UT1-UTC>
</UT>
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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>0.0521</X>
<Y>0.4806</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00050</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58243</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0539</X>
<Y>0.4816</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00050</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58244</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0558</X>
<Y>0.4826</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00141</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58245</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0576</X>
<Y>0.4836</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00234</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58246</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0595</X>
<Y>0.4845</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00337</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58247</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0614</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00453</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58248</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0633</X>
<Y>0.4863</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00583</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58249</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0653</X>
<Y>0.4872</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00727</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58250</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0672</X>
<Y>0.4880</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00880</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58251</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0692</X>
<Y>0.4888</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01040</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58252</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0712</X>
<Y>0.4896</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01204</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58253</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0732</X>
<Y>0.4903</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01366</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58254</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0752</X>
<Y>0.4911</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01519</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58255</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0772</X>
<Y>0.4917</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01658</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58256</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0792</X>
<Y>0.4924</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01789</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58257</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0812</X>
<Y>0.4930</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01913</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58258</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0833</X>
<Y>0.4936</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02034</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58259</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0853</X>
<Y>0.4942</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02158</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58260</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0874</X>
<Y>0.4947</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02287</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58261</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0895</X>
<Y>0.4952</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02424</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58262</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0915</X>
<Y>0.4957</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02567</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58263</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0936</X>
<Y>0.4962</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02711</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58264</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0957</X>
<Y>0.4966</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02847</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58265</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0978</X>
<Y>0.4970</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02969</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58266</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0999</X>
<Y>0.4973</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03072</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58267</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1020</X>
<Y>0.4977</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03157</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58268</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1042</X>
<Y>0.4980</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03221</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>31</dateDay>
<MJD>58269</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1063</X>
<Y>0.4982</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03269</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58270</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1084</X>
<Y>0.4985</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03302</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58271</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1105</X>
<Y>0.4987</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03330</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58272</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1126</X>
<Y>0.4989</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03358</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58273</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1148</X>
<Y>0.4990</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03396</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58274</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1169</X>
<Y>0.4991</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03452</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58275</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1190</X>
<Y>0.4992</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03522</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58276</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1212</X>
<Y>0.4992</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03608</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58277</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1233</X>
<Y>0.4993</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03709</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58278</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1254</X>
<Y>0.4993</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03819</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58279</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1276</X>
<Y>0.4992</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03934</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58280</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1297</X>
<Y>0.4991</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04049</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58281</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1318</X>
<Y>0.4990</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04158</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58282</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1339</X>
<Y>0.4989</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04255</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58283</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1360</X>
<Y>0.4987</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04331</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58284</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1382</X>
<Y>0.4985</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04392</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58285</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1403</X>
<Y>0.4983</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04449</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58286</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1424</X>
<Y>0.4981</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04509</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58287</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1445</X>
<Y>0.4978</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04577</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58288</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1465</X>
<Y>0.4974</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04652</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58289</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1486</X>
<Y>0.4971</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04733</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58290</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1507</X>
<Y>0.4967</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04814</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58291</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1527</X>
<Y>0.4963</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04884</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58292</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1548</X>
<Y>0.4959</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04940</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58293</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1568</X>
<Y>0.4954</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04984</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58294</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1589</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05016</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58295</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1609</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05034</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58296</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1629</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05044</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1649</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05048</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>0.1669</X>
<Y>0.4926</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05045</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58299</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1688</X>
<Y>0.4919</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05039</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1708</X>
<Y>0.4913</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05041</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58301</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1727</X>
<Y>0.4906</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05051</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58302</MJD>
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<dataEOP><pole type="prediction"><X>0.1747</X>
<Y>0.4898</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05071</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1766</X>
<Y>0.4891</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05104</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1785</X>
<Y>0.4883</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05149</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58305</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1804</X>
<Y>0.4874</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05201</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58306</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1822</X>
<Y>0.4866</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05256</UT1-UTC>
</UT>
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