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<dateDay>05</dateDay>
<MJD>58001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2209</X>
<Y>0.3568</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32788</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2206</X>
<Y>0.3553</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32688</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2203</X>
<Y>0.3537</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32570</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2199</X>
<Y>0.3521</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32439</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2195</X>
<Y>0.3505</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32300</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2191</X>
<Y>0.3490</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32161</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2187</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32027</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2182</X>
<Y>0.3458</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31904</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2177</X>
<Y>0.3443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31791</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2172</X>
<Y>0.3427</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31685</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2166</X>
<Y>0.3412</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31581</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2160</X>
<Y>0.3397</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31474</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2154</X>
<Y>0.3381</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31359</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2147</X>
<Y>0.3366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31231</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2140</X>
<Y>0.3351</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31092</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2133</X>
<Y>0.3336</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30945</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2126</X>
<Y>0.3321</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30795</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>0.2118</X>
<Y>0.3306</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30648</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2110</X>
<Y>0.3291</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30508</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2101</X>
<Y>0.3277</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30377</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2093</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30257</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2084</X>
<Y>0.3248</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2075</X>
<Y>0.3233</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30045</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2065</X>
<Y>0.3219</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29948</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2056</X>
<Y>0.3205</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29850</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2046</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29748</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2035</X>
<Y>0.3177</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29637</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2025</X>
<Y>0.3164</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29515</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.3150</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2003</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1992</X>
<Y>0.3123</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29053</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1980</X>
<Y>0.3110</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28874</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1968</X>
<Y>0.3097</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28693</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1956</X>
<Y>0.3085</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28517</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1944</X>
<Y>0.3072</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28353</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1931</X>
<Y>0.3060</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28202</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1919</X>
<Y>0.3047</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28064</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>0.1906</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27932</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>0.1892</X>
<Y>0.3023</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27802</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1879</X>
<Y>0.3011</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27666</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>0.1865</X>
<Y>0.3000</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27521</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>0.1851</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27366</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>0.1837</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27203</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>0.1822</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27036</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>0.1808</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26870</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>0.1793</X>
<Y>0.2945</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26711</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1778</X>
<Y>0.2934</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26561</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>0.1763</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26424</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>0.1747</X>
<Y>0.2914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26300</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>0.1732</X>
<Y>0.2905</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26186</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>0.1716</X>
<Y>0.2895</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26080</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>0.1700</X>
<Y>0.2886</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25978</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>0.1684</X>
<Y>0.2877</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25874</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>0.1667</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25764</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1651</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25643</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>0.1634</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25508</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1617</X>
<Y>0.2843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25357</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>0.1600</X>
<Y>0.2835</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25190</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1583</X>
<Y>0.2827</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1566</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24823</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24636</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24459</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24296</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24148</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24010</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23877</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23741</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23599</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23448</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23286</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23120</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22954</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1329</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22794</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22644</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22504</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1273</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22377</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1254</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22262</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1234</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22157</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22057</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1196</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21960</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1177</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21859</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1157</X>
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<UT type="prediction"><UT1-UTC>0.21751</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1138</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21632</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1119</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21499</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1099</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21352</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1080</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21192</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1060</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21021</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1041</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20846</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1021</X>
<Y>0.2719</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20676</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1002</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20516</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0983</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20370</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0963</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20237</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0944</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20111</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0924</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19985</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0905</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19854</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0886</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19715</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0866</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19570</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0847</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19422</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0828</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19276</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58100</MJD>
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<dataEOP><pole type="prediction"><X>0.0809</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19135</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0790</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19003</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58102</MJD>
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<dataEOP><pole type="prediction"><X>0.0771</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18883</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58103</MJD>
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<dataEOP><pole type="prediction"><X>0.0752</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18775</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
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<dataEOP><pole type="prediction"><X>0.0733</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18680</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0715</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18594</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.18515</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0678</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18440</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0659</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18363</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0641</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18280</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0623</X>
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<UT type="prediction"><UT1-UTC>0.18188</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0605</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18084</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0587</X>
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<UT type="prediction"><UT1-UTC>0.17966</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0569</X>
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<UT type="prediction"><UT1-UTC>0.17836</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0551</X>
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<UT type="prediction"><UT1-UTC>0.17694</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0534</X>
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<UT type="prediction"><UT1-UTC>0.17546</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0516</X>
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<UT type="prediction"><UT1-UTC>0.17398</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0499</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17255</UT1-UTC>
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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>0.0482</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17123</UT1-UTC>
</UT>
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<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0465</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17001</UT1-UTC>
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<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0448</X>
<Y>0.2874</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16888</UT1-UTC>
</UT>
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<MJD>58121</MJD>
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<dataEOP><pole type="prediction"><X>0.0432</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16775</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0415</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16657</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0399</X>
<Y>0.2902</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16529</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0383</X>
<Y>0.2912</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16392</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0367</X>
<Y>0.2923</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16249</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0351</X>
<Y>0.2933</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16106</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0336</X>
<Y>0.2944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15968</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0321</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15840</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0305</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15723</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0291</X>
<Y>0.2978</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15620</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0276</X>
<Y>0.2990</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15528</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0261</X>
<Y>0.3002</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15447</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0247</X>
<Y>0.3014</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15374</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0233</X>
<Y>0.3026</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15304</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0219</X>
<Y>0.3039</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15233</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0206</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15158</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0193</X>
<Y>0.3065</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15073</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0180</X>
<Y>0.3078</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14977</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0167</X>
<Y>0.3092</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14868</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0154</X>
<Y>0.3105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14746</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0142</X>
<Y>0.3119</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14615</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0130</X>
<Y>0.3133</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14479</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0118</X>
<Y>0.3147</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14342</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0107</X>
<Y>0.3162</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14210</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0095</X>
<Y>0.3177</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14087</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0084</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13976</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0074</X>
<Y>0.3206</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13875</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0063</X>
<Y>0.3222</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13778</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0053</X>
<Y>0.3237</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13680</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0043</X>
<Y>0.3252</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13573</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0034</X>
<Y>0.3268</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13456</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0024</X>
<Y>0.3284</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13329</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0015</X>
<Y>0.3300</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13198</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13066</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0002</X>
<Y>0.3332</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12940</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0010</X>
<Y>0.3349</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12821</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0018</X>
<Y>0.3365</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12712</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>-0.0025</X>
<Y>0.3382</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12612</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>-0.0032</X>
<Y>0.3399</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12521</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.3415</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12435</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0046</X>
<Y>0.3432</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12353</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0052</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12270</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0058</X>
<Y>0.3467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12183</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0063</X>
<Y>0.3484</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12086</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0069</X>
<Y>0.3502</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11977</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0074</X>
<Y>0.3519</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11852</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>-0.0078</X>
<Y>0.3537</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11711</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0083</X>
<Y>0.3554</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11557</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0086</X>
<Y>0.3572</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11394</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0090</X>
<Y>0.3590</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11228</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0093</X>
<Y>0.3608</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11063</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0096</X>
<Y>0.3626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10904</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0099</X>
<Y>0.3644</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10751</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0101</X>
<Y>0.3662</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10606</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0103</X>
<Y>0.3680</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10462</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0105</X>
<Y>0.3699</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10315</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.3717</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10158</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0107</X>
<Y>0.3735</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09985</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0108</X>
<Y>0.3753</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09799</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0108</X>
<Y>0.3772</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09603</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>-0.0108</X>
<Y>0.3790</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09403</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58182</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0108</X>
<Y>0.3808</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09210</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0107</X>
<Y>0.3827</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09030</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.3845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08863</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0105</X>
<Y>0.3864</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08713</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0103</X>
<Y>0.3882</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08577</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>-0.0101</X>
<Y>0.3900</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08449</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>-0.0099</X>
<Y>0.3919</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08329</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58189</MJD>
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<dataEOP><pole type="prediction"><X>-0.0096</X>
<Y>0.3937</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08211</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58190</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0093</X>
<Y>0.3955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08091</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58191</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0090</X>
<Y>0.3974</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07964</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58192</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0086</X>
<Y>0.3992</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07824</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58193</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0082</X>
<Y>0.4010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07670</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0078</X>
<Y>0.4028</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07501</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>-0.0073</X>
<Y>0.4046</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07322</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58196</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0068</X>
<Y>0.4065</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07136</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>-0.0062</X>
<Y>0.4083</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06946</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58198</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0057</X>
<Y>0.4101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06760</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>-0.0051</X>
<Y>0.4118</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06577</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>-0.0044</X>
<Y>0.4136</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06402</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58201</MJD>
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<dataEOP><pole type="prediction"><X>-0.0038</X>
<Y>0.4154</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06239</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0031</X>
<Y>0.4172</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06088</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58203</MJD>
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<dataEOP><pole type="prediction"><X>-0.0023</X>
<Y>0.4189</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05938</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58204</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0016</X>
<Y>0.4207</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05777</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>-0.0008</X>
<Y>0.4224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05601</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>0.0000</X>
<Y>0.4241</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05408</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>0.0009</X>
<Y>0.4258</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05203</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>0.0018</X>
<Y>0.4275</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04993</UT1-UTC>
</UT>
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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>0.0027</X>
<Y>0.4292</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04783</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58210</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0037</X>
<Y>0.4309</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04580</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>0.0046</X>
<Y>0.4326</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04385</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58212</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0056</X>
<Y>0.4342</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04201</UT1-UTC>
</UT>
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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>0.0067</X>
<Y>0.4359</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04031</UT1-UTC>
</UT>
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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>0.0077</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03870</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58215</MJD>
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<dataEOP><pole type="prediction"><X>0.0088</X>
<Y>0.4391</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03716</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58216</MJD>
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<dataEOP><pole type="prediction"><X>0.0100</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03569</UT1-UTC>
</UT>
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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>0.0111</X>
<Y>0.4423</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03426</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58218</MJD>
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<dataEOP><pole type="prediction"><X>0.0123</X>
<Y>0.4439</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03280</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>0.0135</X>
<Y>0.4454</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03127</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58220</MJD>
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<dataEOP><pole type="prediction"><X>0.0148</X>
<Y>0.4469</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02962</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>0.0160</X>
<Y>0.4485</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02783</UT1-UTC>
</UT>
</dataEOP>
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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>0.0173</X>
<Y>0.4500</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02593</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>0.0186</X>
<Y>0.4514</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02396</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58224</MJD>
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<dataEOP><pole type="prediction"><X>0.0200</X>
<Y>0.4529</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02198</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58225</MJD>
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<dataEOP><pole type="prediction"><X>0.0214</X>
<Y>0.4544</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02006</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58226</MJD>
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<dataEOP><pole type="prediction"><X>0.0228</X>
<Y>0.4558</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01828</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58227</MJD>
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<dataEOP><pole type="prediction"><X>0.0242</X>
<Y>0.4572</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01667</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58228</MJD>
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<dataEOP><pole type="prediction"><X>0.0256</X>
<Y>0.4586</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01523</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>0.0271</X>
<Y>0.4599</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01391</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>0.0286</X>
<Y>0.4613</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01262</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>0.0301</X>
<Y>0.4626</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01124</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58232</MJD>
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<dataEOP><pole type="prediction"><X>0.0317</X>
<Y>0.4639</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00970</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58233</MJD>
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<dataEOP><pole type="prediction"><X>0.0332</X>
<Y>0.4652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00800</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58234</MJD>
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<dataEOP><pole type="prediction"><X>0.0348</X>
<Y>0.4664</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00615</UT1-UTC>
</UT>
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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>0.0364</X>
<Y>0.4677</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00419</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58236</MJD>
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<dataEOP><pole type="prediction"><X>0.0380</X>
<Y>0.4689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00222</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58237</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0397</X>
<Y>0.4701</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.00031</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58238</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0414</X>
<Y>0.4713</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00151</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58239</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0431</X>
<Y>0.4724</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00320</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58240</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0448</X>
<Y>0.4735</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.00473</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58241</MJD>
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<UT type="prediction"><UT1-UTC>-0.00605</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0483</X>
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<UT type="prediction"><UT1-UTC>-0.00720</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58243</MJD>
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<dataEOP><pole type="prediction"><X>0.0500</X>
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<UT type="prediction"><UT1-UTC>-0.00825</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0518</X>
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<UT type="prediction"><UT1-UTC>-0.00924</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0536</X>
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<UT type="prediction"><UT1-UTC>-0.01024</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>0.0554</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01127</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>0.0573</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01240</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>0.0591</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01362</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0610</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01492</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58250</MJD>
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<dataEOP><pole type="prediction"><X>0.0629</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01629</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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</pole>
<UT type="prediction"><UT1-UTC>-0.01774</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58252</MJD>
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<dataEOP><pole type="prediction"><X>0.0667</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01924</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58253</MJD>
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<dataEOP><pole type="prediction"><X>0.0686</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02069</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58254</MJD>
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<dataEOP><pole type="prediction"><X>0.0706</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02206</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58255</MJD>
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<dataEOP><pole type="prediction"><X>0.0725</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02332</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58256</MJD>
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<dataEOP><pole type="prediction"><X>0.0745</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02443</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58257</MJD>
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<dataEOP><pole type="prediction"><X>0.0764</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02545</UT1-UTC>
</UT>
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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>0.0784</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02650</UT1-UTC>
</UT>
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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>0.0804</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02761</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0824</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02880</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0844</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03011</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58262</MJD>
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<dataEOP><pole type="prediction"><X>0.0864</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03147</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58263</MJD>
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<dataEOP><pole type="prediction"><X>0.0885</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03282</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58264</MJD>
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<dataEOP><pole type="prediction"><X>0.0905</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03408</UT1-UTC>
</UT>
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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>0.0926</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03522</UT1-UTC>
</UT>
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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>0.0946</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03621</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>0.0967</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03701</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>0.0987</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03762</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>0.1008</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03808</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58270</MJD>
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<dataEOP><pole type="prediction"><X>0.1028</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03845</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>0.1049</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03879</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>0.1070</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03913</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58273</MJD>
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<dataEOP><pole type="prediction"><X>0.1091</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03951</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1111</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03996</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04054</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58276</MJD>
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<dataEOP><pole type="prediction"><X>0.1153</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04129</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58277</MJD>
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<dataEOP><pole type="prediction"><X>0.1174</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04218</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>0.1194</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04319</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>0.1215</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04420</UT1-UTC>
</UT>
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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>0.1236</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04517</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58281</MJD>
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<dataEOP><pole type="prediction"><X>0.1257</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04609</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>0.1277</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04688</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>0.1298</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04751</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>0.1319</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04804</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>0.1339</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04852</UT1-UTC>
</UT>
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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>0.1360</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04904</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58287</MJD>
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<dataEOP><pole type="prediction"><X>0.1380</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04964</UT1-UTC>
</UT>
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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>0.1400</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05029</UT1-UTC>
</UT>
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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>0.1421</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05097</UT1-UTC>
</UT>
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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>0.1441</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05164</UT1-UTC>
</UT>
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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>0.1461</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05228</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58292</MJD>
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<dataEOP><pole type="prediction"><X>0.1481</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05284</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58293</MJD>
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<dataEOP><pole type="prediction"><X>0.1501</X>
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<UT type="prediction"><UT1-UTC>-0.05328</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58294</MJD>
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<dataEOP><pole type="prediction"><X>0.1521</X>
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<UT type="prediction"><UT1-UTC>-0.05354</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58295</MJD>
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<dataEOP><pole type="prediction"><X>0.1541</X>
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<UT type="prediction"><UT1-UTC>-0.05374</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58296</MJD>
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<dataEOP><pole type="prediction"><X>0.1560</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05388</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58297</MJD>
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<dataEOP><pole type="prediction"><X>0.1580</X>
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<UT type="prediction"><UT1-UTC>-0.05393</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58298</MJD>
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<dataEOP><pole type="prediction"><X>0.1599</X>
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<UT type="prediction"><UT1-UTC>-0.05391</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58299</MJD>
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<dataEOP><pole type="prediction"><X>0.1619</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05394</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1638</X>
<Y>0.4889</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05402</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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