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<dateDay>06</dateDay>
<MJD>58002</MJD>
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<dataEOP><pole type="prediction"><X>0.2235</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32506</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58003</MJD>
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<dataEOP><pole type="prediction"><X>0.2231</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32396</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58004</MJD>
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<dataEOP><pole type="prediction"><X>0.2228</X>
<Y>0.3502</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32273</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58005</MJD>
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<dataEOP><pole type="prediction"><X>0.2224</X>
<Y>0.3486</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32144</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58006</MJD>
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<dataEOP><pole type="prediction"><X>0.2219</X>
<Y>0.3470</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32014</UT1-UTC>
</UT>
</dataEOP>
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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>0.2215</X>
<Y>0.3455</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31889</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58008</MJD>
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<dataEOP><pole type="prediction"><X>0.2210</X>
<Y>0.3439</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31773</UT1-UTC>
</UT>
</dataEOP>
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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>0.2204</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31667</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58010</MJD>
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<dataEOP><pole type="prediction"><X>0.2199</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31567</UT1-UTC>
</UT>
</dataEOP>
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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>0.2193</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31468</UT1-UTC>
</UT>
</dataEOP>
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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>0.2187</X>
<Y>0.3376</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31364</UT1-UTC>
</UT>
</dataEOP>
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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>0.2180</X>
<Y>0.3361</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31250</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2174</X>
<Y>0.3346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31123</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2166</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30984</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2159</X>
<Y>0.3315</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30836</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2151</X>
<Y>0.3300</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30685</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2143</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30536</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2135</X>
<Y>0.3270</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30394</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58020</MJD>
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<dataEOP><pole type="prediction"><X>0.2126</X>
<Y>0.3255</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30262</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2118</X>
<Y>0.3241</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30140</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2108</X>
<Y>0.3226</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30028</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>0.2099</X>
<Y>0.3212</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29925</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>0.2089</X>
<Y>0.3197</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29826</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2079</X>
<Y>0.3183</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29727</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>0.2069</X>
<Y>0.3169</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29624</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>0.2058</X>
<Y>0.3155</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29513</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>0.2048</X>
<Y>0.3141</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29389</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>0.2036</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29249</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>0.2025</X>
<Y>0.3114</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29091</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>0.2013</X>
<Y>0.3101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28917</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2002</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28733</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1989</X>
<Y>0.3075</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28545</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>0.1977</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28362</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>0.1964</X>
<Y>0.3049</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28190</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1951</X>
<Y>0.3037</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28031</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>0.1938</X>
<Y>0.3024</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27884</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1925</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27744</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1911</X>
<Y>0.3000</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27605</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>0.1897</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27461</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1883</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27309</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1869</X>
<Y>0.2965</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27148</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1855</X>
<Y>0.2954</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26978</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>0.1840</X>
<Y>0.2943</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26804</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>0.1825</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26632</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>0.1810</X>
<Y>0.2922</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26467</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1794</X>
<Y>0.2911</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26311</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>0.1779</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26167</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>0.1763</X>
<Y>0.2891</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26035</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>0.1747</X>
<Y>0.2881</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25915</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>0.1731</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25802</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1714</X>
<Y>0.2863</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25693</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1698</X>
<Y>0.2854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25584</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>0.1681</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25469</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1664</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25344</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1647</X>
<Y>0.2828</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25206</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>0.1630</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25052</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1613</X>
<Y>0.2812</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24884</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>0.1595</X>
<Y>0.2804</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24703</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1577</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24515</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1559</X>
<Y>0.2790</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24152</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.23988</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1505</X>
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<UT type="prediction"><UT1-UTC>0.23839</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1487</X>
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<UT type="prediction"><UT1-UTC>0.23701</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1468</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23566</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1450</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23429</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1431</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23285</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1412</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23133</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1393</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22974</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1374</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22812</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1355</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22651</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1336</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22495</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1317</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22349</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1297</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22215</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1278</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22093</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1258</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21977</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1239</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21870</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1219</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21770</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1200</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21672</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1180</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21570</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1160</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21462</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1140</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21342</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1121</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21209</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1101</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21062</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1081</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20901</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1061</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20730</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1041</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20555</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1021</X>
<Y>0.2701</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20384</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1002</X>
<Y>0.2702</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20224</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0982</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20078</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0962</X>
<Y>0.2704</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19944</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0942</X>
<Y>0.2706</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19818</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>0.19692</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>0.19560</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0883</X>
<Y>0.2713</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19421</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0864</X>
<Y>0.2716</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19275</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0844</X>
<Y>0.2720</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19126</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58099</MJD>
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<dataEOP><pole type="prediction"><X>0.0825</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18979</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58100</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0805</X>
<Y>0.2727</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18837</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58101</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0786</X>
<Y>0.2731</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18704</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0766</X>
<Y>0.2736</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18583</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0747</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18474</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0728</X>
<Y>0.2745</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18377</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>0.0709</X>
<Y>0.2751</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18290</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>0.0690</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18211</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0671</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18135</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58108</MJD>
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<dataEOP><pole type="prediction"><X>0.0652</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18057</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>0.0634</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17974</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0615</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17882</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>0.0597</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17778</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58112</MJD>
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<dataEOP><pole type="prediction"><X>0.0579</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17660</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58113</MJD>
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<dataEOP><pole type="prediction"><X>0.0560</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17530</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0542</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17389</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0525</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17242</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58116</MJD>
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<dataEOP><pole type="prediction"><X>0.0507</X>
<Y>0.2827</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17094</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0489</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16952</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>0.0472</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16821</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0455</X>
<Y>0.2854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16701</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0438</X>
<Y>0.2863</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16589</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0421</X>
<Y>0.2873</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16477</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0404</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16360</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0387</X>
<Y>0.2893</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16233</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0371</X>
<Y>0.2904</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16097</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0355</X>
<Y>0.2914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15955</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0339</X>
<Y>0.2925</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15813</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0323</X>
<Y>0.2936</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15676</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0308</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15547</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0292</X>
<Y>0.2959</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15430</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0277</X>
<Y>0.2971</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15326</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0262</X>
<Y>0.2983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15233</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0248</X>
<Y>0.2996</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15151</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0233</X>
<Y>0.3008</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15075</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0219</X>
<Y>0.3021</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15003</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0205</X>
<Y>0.3034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14930</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0191</X>
<Y>0.3047</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14851</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0178</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14763</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0164</X>
<Y>0.3074</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14663</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0151</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14550</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0139</X>
<Y>0.3102</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14425</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0126</X>
<Y>0.3117</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14289</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0114</X>
<Y>0.3131</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14146</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0102</X>
<Y>0.3146</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14002</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0090</X>
<Y>0.3161</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13861</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0079</X>
<Y>0.3176</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13729</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0068</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13605</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.3206</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0046</X>
<Y>0.3222</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0036</X>
<Y>0.3237</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13260</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0026</X>
<Y>0.3253</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13132</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0016</X>
<Y>0.3269</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12993</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3286</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12844</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0002</X>
<Y>0.3302</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12693</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0011</X>
<Y>0.3318</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12546</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0020</X>
<Y>0.3335</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12411</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0028</X>
<Y>0.3352</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12290</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0036</X>
<Y>0.3369</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12185</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0043</X>
<Y>0.3386</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12097</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3403</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12021</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0058</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11955</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0064</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11892</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0070</X>
<Y>0.3455</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11828</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0076</X>
<Y>0.3473</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11755</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0082</X>
<Y>0.3491</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11671</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0087</X>
<Y>0.3509</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11570</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0092</X>
<Y>0.3526</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11452</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0097</X>
<Y>0.3544</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11316</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0101</X>
<Y>0.3563</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11167</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0105</X>
<Y>0.3581</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11009</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0109</X>
<Y>0.3599</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10849</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0112</X>
<Y>0.3617</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10693</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0115</X>
<Y>0.3636</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10547</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0118</X>
<Y>0.3654</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10410</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0120</X>
<Y>0.3673</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10281</UT1-UTC>
</UT>
</dataEOP>
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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>-0.0122</X>
<Y>0.3691</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10155</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>-0.0124</X>
<Y>0.3710</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10024</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0125</X>
<Y>0.3729</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09881</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.3747</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09722</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0127</X>
<Y>0.3766</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09549</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0127</X>
<Y>0.3785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09364</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0127</X>
<Y>0.3803</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09177</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>58182</MJD>
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<dataEOP><pole type="prediction"><X>-0.0127</X>
<Y>0.3822</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08993</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.3841</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08816</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0125</X>
<Y>0.3860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08650</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0124</X>
<Y>0.3878</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08496</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0122</X>
<Y>0.3897</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08353</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>-0.0120</X>
<Y>0.3916</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08221</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58188</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0117</X>
<Y>0.3935</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08094</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58189</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0114</X>
<Y>0.3954</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07970</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58190</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0111</X>
<Y>0.3972</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07841</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58191</MJD>
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<dataEOP><pole type="prediction"><X>-0.0108</X>
<Y>0.3991</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07703</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58192</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0104</X>
<Y>0.4010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07555</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58193</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0100</X>
<Y>0.4028</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07393</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0095</X>
<Y>0.4047</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07216</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>-0.0090</X>
<Y>0.4065</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07024</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58196</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0085</X>
<Y>0.4084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06829</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58197</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0080</X>
<Y>0.4102</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06632</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58198</MJD>
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<dataEOP><pole type="prediction"><X>-0.0074</X>
<Y>0.4120</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06440</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58199</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0068</X>
<Y>0.4139</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06258</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>-0.0061</X>
<Y>0.4157</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06090</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0054</X>
<Y>0.4175</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05929</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58202</MJD>
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<dataEOP><pole type="prediction"><X>-0.0047</X>
<Y>0.4193</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05776</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58203</MJD>
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<dataEOP><pole type="prediction"><X>-0.0040</X>
<Y>0.4211</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05625</UT1-UTC>
</UT>
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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>-0.0032</X>
<Y>0.4228</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05467</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58205</MJD>
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<dataEOP><pole type="prediction"><X>-0.0024</X>
<Y>0.4246</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05299</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58206</MJD>
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<dataEOP><pole type="prediction"><X>-0.0015</X>
<Y>0.4264</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05115</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58207</MJD>
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<dataEOP><pole type="prediction"><X>-0.0006</X>
<Y>0.4281</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04919</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>0.0003</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04716</UT1-UTC>
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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>0.0012</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04517</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58210</MJD>
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<dataEOP><pole type="prediction"><X>0.0022</X>
<Y>0.4333</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04327</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58211</MJD>
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<dataEOP><pole type="prediction"><X>0.0032</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04149</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58212</MJD>
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<dataEOP><pole type="prediction"><X>0.0042</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03985</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58213</MJD>
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<dataEOP><pole type="prediction"><X>0.0053</X>
<Y>0.4384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03832</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58214</MJD>
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<dataEOP><pole type="prediction"><X>0.0064</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03688</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0075</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03555</UT1-UTC>
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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>0.0087</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03432</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58217</MJD>
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<dataEOP><pole type="prediction"><X>0.0099</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03310</UT1-UTC>
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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>0.0111</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03178</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>0.0123</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03034</UT1-UTC>
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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>0.0136</X>
<Y>0.4496</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02876</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>0.0149</X>
<Y>0.4512</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02703</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58222</MJD>
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<dataEOP><pole type="prediction"><X>0.0162</X>
<Y>0.4527</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02519</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>0.0175</X>
<Y>0.4542</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02324</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>0.0189</X>
<Y>0.4557</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02122</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>0.0203</X>
<Y>0.4572</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01918</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58226</MJD>
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<dataEOP><pole type="prediction"><X>0.0218</X>
<Y>0.4586</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01719</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58227</MJD>
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<dataEOP><pole type="prediction"><X>0.0232</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01532</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58228</MJD>
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<dataEOP><pole type="prediction"><X>0.0247</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01355</UT1-UTC>
</UT>
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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>0.0262</X>
<Y>0.4629</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01187</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58230</MJD>
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<dataEOP><pole type="prediction"><X>0.0277</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01024</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58231</MJD>
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<dataEOP><pole type="prediction"><X>0.0293</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00863</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58232</MJD>
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<dataEOP><pole type="prediction"><X>0.0309</X>
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<UT type="prediction"><UT1-UTC>0.00697</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58233</MJD>
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<dataEOP><pole type="prediction"><X>0.0325</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00521</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58234</MJD>
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<dataEOP><pole type="prediction"><X>0.0341</X>
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<UT type="prediction"><UT1-UTC>0.00334</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58235</MJD>
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<dataEOP><pole type="prediction"><X>0.0357</X>
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<UT type="prediction"><UT1-UTC>0.00141</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58236</MJD>
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<dataEOP><pole type="prediction"><X>0.0374</X>
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<UT type="prediction"><UT1-UTC>-0.00051</UT1-UTC>
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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>0.0391</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00234</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>0.0408</X>
<Y>0.4744</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00400</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>0.0425</X>
<Y>0.4756</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00549</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58240</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0443</X>
<Y>0.4767</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00677</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58241</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0461</X>
<Y>0.4778</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00786</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58242</MJD>
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<UT type="prediction"><UT1-UTC>-0.00880</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00964</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0515</X>
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<UT type="prediction"><UT1-UTC>-0.01046</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01136</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58246</MJD>
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<dataEOP><pole type="prediction"><X>0.0552</X>
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<UT type="prediction"><UT1-UTC>-0.01241</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58247</MJD>
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<dataEOP><pole type="prediction"><X>0.0571</X>
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<UT type="prediction"><UT1-UTC>-0.01360</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58248</MJD>
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<dataEOP><pole type="prediction"><X>0.0590</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01496</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0609</X>
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<UT type="prediction"><UT1-UTC>-0.01648</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0628</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01811</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0648</X>
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<UT type="prediction"><UT1-UTC>-0.01983</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0667</X>
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<UT type="prediction"><UT1-UTC>-0.02157</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0687</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02328</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0707</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02486</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0727</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02622</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0747</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02740</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58257</MJD>
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<dataEOP><pole type="prediction"><X>0.0767</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02849</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58258</MJD>
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<dataEOP><pole type="prediction"><X>0.0787</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02955</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58259</MJD>
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<dataEOP><pole type="prediction"><X>0.0808</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03064</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0828</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03180</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0849</X>
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<UT type="prediction"><UT1-UTC>-0.03304</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0869</X>
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<UT type="prediction"><UT1-UTC>-0.03432</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0890</X>
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<UT type="prediction"><UT1-UTC>-0.03556</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0911</X>
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<UT type="prediction"><UT1-UTC>-0.03670</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58265</MJD>
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<dataEOP><pole type="prediction"><X>0.0932</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03775</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58266</MJD>
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<dataEOP><pole type="prediction"><X>0.0953</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03869</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58267</MJD>
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<dataEOP><pole type="prediction"><X>0.0974</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03948</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58268</MJD>
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<dataEOP><pole type="prediction"><X>0.0995</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04017</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58269</MJD>
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<dataEOP><pole type="prediction"><X>0.1016</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04077</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1037</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04125</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58271</MJD>
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<dataEOP><pole type="prediction"><X>0.1058</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04166</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58272</MJD>
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<dataEOP><pole type="prediction"><X>0.1080</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04211</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1101</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04260</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1122</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04317</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04387</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04468</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1186</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04558</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58278</MJD>
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<dataEOP><pole type="prediction"><X>0.1207</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04654</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58279</MJD>
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<dataEOP><pole type="prediction"><X>0.1228</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04752</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58280</MJD>
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<dataEOP><pole type="prediction"><X>0.1250</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04848</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58281</MJD>
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<dataEOP><pole type="prediction"><X>0.1271</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04932</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58282</MJD>
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<dataEOP><pole type="prediction"><X>0.1292</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04999</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58283</MJD>
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<dataEOP><pole type="prediction"><X>0.1313</X>
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</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>58284</MJD>
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<dataEOP><pole type="prediction"><X>0.1334</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05095</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58285</MJD>
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<dataEOP><pole type="prediction"><X>0.1355</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05137</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58286</MJD>
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<dataEOP><pole type="prediction"><X>0.1376</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05186</UT1-UTC>
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<MJD>58287</MJD>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05244</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58288</MJD>
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<dataEOP><pole type="prediction"><X>0.1418</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05310</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58289</MJD>
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<dataEOP><pole type="prediction"><X>0.1439</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05386</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58290</MJD>
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<dataEOP><pole type="prediction"><X>0.1460</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05468</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58291</MJD>
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<dataEOP><pole type="prediction"><X>0.1480</X>
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<UT type="prediction"><UT1-UTC>-0.05549</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58292</MJD>
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<UT type="prediction"><UT1-UTC>-0.05622</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05678</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05717</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05743</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05757</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05758</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58298</MJD>
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<UT type="prediction"><UT1-UTC>-0.05754</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1642</X>
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<UT type="prediction"><UT1-UTC>-0.05746</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58300</MJD>
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<dataEOP><pole type="prediction"><X>0.1662</X>
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<UT type="prediction"><UT1-UTC>-0.05740</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58301</MJD>
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<dataEOP><pole type="prediction"><X>0.1681</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05741</UT1-UTC>
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