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<UT type="prediction"><UT1-UTC>0.29710</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2027</X>
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<UT type="prediction"><UT1-UTC>0.29560</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2013</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29422</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1999</X>
<Y>0.2954</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29289</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1985</X>
<Y>0.2941</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29157</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1971</X>
<Y>0.2929</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29017</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1956</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28867</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1941</X>
<Y>0.2906</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28706</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1926</X>
<Y>0.2894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28534</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1911</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28357</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1895</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28180</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1879</X>
<Y>0.2861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28008</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1863</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27845</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1847</X>
<Y>0.2840</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27694</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1831</X>
<Y>0.2830</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27554</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1814</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27424</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>0.1797</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27301</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1780</X>
<Y>0.2801</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27182</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1763</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27061</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1746</X>
<Y>0.2783</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26934</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>0.1728</X>
<Y>0.2775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26797</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>0.1710</X>
<Y>0.2766</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26646</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1692</X>
<Y>0.2758</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26479</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1674</X>
<Y>0.2750</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26297</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1656</X>
<Y>0.2742</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26102</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1638</X>
<Y>0.2735</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25900</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1619</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25699</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1601</X>
<Y>0.2721</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25506</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1582</X>
<Y>0.2714</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25327</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58064</MJD>
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<dataEOP><pole type="prediction"><X>0.1563</X>
<Y>0.2708</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25163</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58065</MJD>
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<dataEOP><pole type="prediction"><X>0.1544</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25009</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1525</X>
<Y>0.2696</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24859</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1505</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24707</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1486</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24548</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1466</X>
<Y>0.2680</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24382</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1447</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24210</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1427</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24035</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58072</MJD>
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<dataEOP><pole type="prediction"><X>0.1407</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23861</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1387</X>
<Y>0.2663</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23694</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58074</MJD>
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<dataEOP><pole type="prediction"><X>0.1367</X>
<Y>0.2660</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23537</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1347</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23391</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58076</MJD>
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<dataEOP><pole type="prediction"><X>0.1327</X>
<Y>0.2653</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23259</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58077</MJD>
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<dataEOP><pole type="prediction"><X>0.1307</X>
<Y>0.2651</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23139</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1286</X>
<Y>0.2648</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23029</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58079</MJD>
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<dataEOP><pole type="prediction"><X>0.1266</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22926</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58080</MJD>
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<dataEOP><pole type="prediction"><X>0.1246</X>
<Y>0.2644</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22825</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1225</X>
<Y>0.2643</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22721</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1205</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22611</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1184</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22490</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1164</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22356</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1143</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22208</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1123</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22047</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58087</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1102</X>
<Y>0.2640</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21876</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1082</X>
<Y>0.2640</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21702</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1061</X>
<Y>0.2641</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21533</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1040</X>
<Y>0.2642</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21375</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1020</X>
<Y>0.2644</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21232</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0999</X>
<Y>0.2645</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21102</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0979</X>
<Y>0.2647</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20979</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0958</X>
<Y>0.2650</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20856</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0938</X>
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<UT type="prediction"><UT1-UTC>0.20728</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0917</X>
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<UT type="prediction"><UT1-UTC>0.20593</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58097</MJD>
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<dataEOP><pole type="prediction"><X>0.0897</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20450</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58098</MJD>
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<dataEOP><pole type="prediction"><X>0.0877</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20302</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0857</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20156</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58100</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0836</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20014</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58101</MJD>
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<dataEOP><pole type="prediction"><X>0.0816</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19882</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>0.0796</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19762</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0776</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19653</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0756</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19556</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0737</X>
<Y>0.2695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19469</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0717</X>
<Y>0.2701</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19389</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0697</X>
<Y>0.2707</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19313</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0678</X>
<Y>0.2714</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19234</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0659</X>
<Y>0.2721</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19151</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0639</X>
<Y>0.2728</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19057</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0620</X>
<Y>0.2735</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18952</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0601</X>
<Y>0.2743</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18833</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0582</X>
<Y>0.2751</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18701</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0564</X>
<Y>0.2759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18559</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0545</X>
<Y>0.2767</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18410</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0527</X>
<Y>0.2776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18260</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0508</X>
<Y>0.2785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18117</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0490</X>
<Y>0.2794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17983</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0472</X>
<Y>0.2804</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17862</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0455</X>
<Y>0.2814</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17747</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0437</X>
<Y>0.2824</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17634</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0420</X>
<Y>0.2834</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17516</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0402</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17387</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0385</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17250</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>0.0369</X>
<Y>0.2867</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17107</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>0.0352</X>
<Y>0.2878</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16963</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0335</X>
<Y>0.2890</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16825</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0319</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16696</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0303</X>
<Y>0.2914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16578</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0287</X>
<Y>0.2926</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16474</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0272</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16381</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0257</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16298</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0241</X>
<Y>0.2964</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16222</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0227</X>
<Y>0.2978</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16150</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>0.0212</X>
<Y>0.2991</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16077</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0198</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15999</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.3019</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15911</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0170</X>
<Y>0.3033</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15812</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0156</X>
<Y>0.3047</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15698</UT1-UTC>
</UT>
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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>0.0143</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15572</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0130</X>
<Y>0.3077</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15436</UT1-UTC>
</UT>
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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>0.0117</X>
<Y>0.3092</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15292</UT1-UTC>
</UT>
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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>0.0104</X>
<Y>0.3107</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15147</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0092</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15005</UT1-UTC>
</UT>
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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>0.0080</X>
<Y>0.3138</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14870</UT1-UTC>
</UT>
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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>0.0068</X>
<Y>0.3153</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14744</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.3169</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14626</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0046</X>
<Y>0.3185</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14509</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0035</X>
<Y>0.3202</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14387</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>0.0024</X>
<Y>0.3218</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14253</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>0.0014</X>
<Y>0.3235</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14107</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0004</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13949</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>-0.0006</X>
<Y>0.3268</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13787</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0015</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13627</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0024</X>
<Y>0.3302</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13475</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0033</X>
<Y>0.3320</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13335</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0041</X>
<Y>0.3337</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13207</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>-0.0049</X>
<Y>0.3355</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13092</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0057</X>
<Y>0.3373</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12988</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0064</X>
<Y>0.3390</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12892</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0071</X>
<Y>0.3408</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12800</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0078</X>
<Y>0.3427</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12707</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0085</X>
<Y>0.3445</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12609</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0091</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12502</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>-0.0096</X>
<Y>0.3481</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12382</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0102</X>
<Y>0.3500</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12247</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0107</X>
<Y>0.3519</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12098</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0112</X>
<Y>0.3537</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11938</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0116</X>
<Y>0.3556</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11770</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0120</X>
<Y>0.3575</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11600</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0124</X>
<Y>0.3594</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11433</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0127</X>
<Y>0.3613</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11273</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0130</X>
<Y>0.3632</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11122</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0133</X>
<Y>0.3651</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10979</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0135</X>
<Y>0.3670</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10840</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0137</X>
<Y>0.3689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10699</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>-0.0139</X>
<Y>0.3708</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10549</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0140</X>
<Y>0.3727</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10388</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0141</X>
<Y>0.3747</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10216</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0142</X>
<Y>0.3766</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10038</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0142</X>
<Y>0.3785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09861</UT1-UTC>
</UT>
</dataEOP>
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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>-0.0142</X>
<Y>0.3805</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09692</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0141</X>
<Y>0.3824</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09537</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0141</X>
<Y>0.3843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09397</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0139</X>
<Y>0.3863</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09273</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0138</X>
<Y>0.3882</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09163</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>-0.0136</X>
<Y>0.3901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09062</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>-0.0134</X>
<Y>0.3921</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08968</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58189</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0131</X>
<Y>0.3940</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08874</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>-0.0128</X>
<Y>0.3959</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08776</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>-0.0125</X>
<Y>0.3979</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08669</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>-0.0121</X>
<Y>0.3998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08548</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>-0.0117</X>
<Y>0.4017</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08410</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>-0.0113</X>
<Y>0.4036</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08252</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58195</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0108</X>
<Y>0.4055</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08077</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>-0.0103</X>
<Y>0.4074</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07888</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>-0.0098</X>
<Y>0.4093</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07692</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58198</MJD>
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<dataEOP><pole type="prediction"><X>-0.0092</X>
<Y>0.4112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07497</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>-0.0086</X>
<Y>0.4131</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07309</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58200</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0080</X>
<Y>0.4149</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07134</UT1-UTC>
</UT>
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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>-0.0073</X>
<Y>0.4168</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06972</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58202</MJD>
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<dataEOP><pole type="prediction"><X>-0.0066</X>
<Y>0.4186</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06819</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58203</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0059</X>
<Y>0.4205</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06669</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58204</MJD>
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<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.4223</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06515</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>-0.0043</X>
<Y>0.4242</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06352</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>-0.0034</X>
<Y>0.4260</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06178</UT1-UTC>
</UT>
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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>-0.0026</X>
<Y>0.4278</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05994</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>-0.0017</X>
<Y>0.4296</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05806</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>-0.0007</X>
<Y>0.4313</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05619</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58210</MJD>
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<dataEOP><pole type="prediction"><X>0.0002</X>
<Y>0.4331</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05441</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58211</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0012</X>
<Y>0.4349</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05275</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>0.0023</X>
<Y>0.4366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05122</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58213</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0033</X>
<Y>0.4383</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04983</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58214</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0044</X>
<Y>0.4400</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04855</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>58215</MJD>
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<dataEOP><pole type="prediction"><X>0.0056</X>
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<UT type="prediction"><UT1-UTC>0.04737</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.04619</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.04501</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0091</X>
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<UT type="prediction"><UT1-UTC>0.04376</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.04239</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.04091</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03932</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03764</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03583</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03395</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03202</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03014</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02839</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02679</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02529</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0259</X>
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<UT type="prediction"><UT1-UTC>0.02383</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02236</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02077</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0307</X>
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<UT type="prediction"><UT1-UTC>0.01907</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.01728</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.01543</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.01356</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.01172</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0392</X>
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<UT type="prediction"><UT1-UTC>0.01006</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0409</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00856</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0427</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00721</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0445</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00604</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.00501</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.00402</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.00310</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.00216</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.00117</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.00008</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.00113</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00248</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00393</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00544</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00694</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00839</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0695</X>
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<UT type="prediction"><UT1-UTC>-0.00972</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01094</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58256</MJD>
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<UT type="prediction"><UT1-UTC>-0.01207</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58257</MJD>
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<dataEOP><pole type="prediction"><X>0.0756</X>
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<UT type="prediction"><UT1-UTC>-0.01311</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58258</MJD>
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<UT type="prediction"><UT1-UTC>-0.01408</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58259</MJD>
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<dataEOP><pole type="prediction"><X>0.0798</X>
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<UT type="prediction"><UT1-UTC>-0.01511</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01627</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58261</MJD>
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<dataEOP><pole type="prediction"><X>0.0840</X>
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<UT type="prediction"><UT1-UTC>-0.01754</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>0.0861</X>
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<UT type="prediction"><UT1-UTC>-0.01890</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>0.0882</X>
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<UT type="prediction"><UT1-UTC>-0.02027</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02158</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58265</MJD>
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<UT type="prediction"><UT1-UTC>-0.02278</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58266</MJD>
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<UT type="prediction"><UT1-UTC>-0.02385</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02482</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58268</MJD>
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<UT type="prediction"><UT1-UTC>-0.02568</UT1-UTC>
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<MJD>58269</MJD>
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<UT type="prediction"><UT1-UTC>-0.02640</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02707</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.02771</UT1-UTC>
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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>0.1076</X>
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<UT type="prediction"><UT1-UTC>-0.02832</UT1-UTC>
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<MJD>58273</MJD>
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<dataEOP><pole type="prediction"><X>0.1098</X>
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<UT type="prediction"><UT1-UTC>-0.02894</UT1-UTC>
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<MJD>58274</MJD>
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<dataEOP><pole type="prediction"><X>0.1120</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02961</UT1-UTC>
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<MJD>58275</MJD>
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<dataEOP><pole type="prediction"><X>0.1141</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03037</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>0.1163</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03125</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58277</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1185</X>
<Y>0.5019</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03224</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58278</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1207</X>
<Y>0.5020</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03330</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58279</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1229</X>
<Y>0.5020</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03435</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58280</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1250</X>
<Y>0.5020</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03535</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58281</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1272</X>
<Y>0.5020</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03625</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58282</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1294</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03695</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58283</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1316</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03749</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58284</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1337</X>
<Y>0.5017</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03789</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58285</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1359</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03826</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58286</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1381</X>
<Y>0.5014</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03868</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58287</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1402</X>
<Y>0.5012</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03926</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58288</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1424</X>
<Y>0.5009</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04003</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58289</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1445</X>
<Y>0.5006</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04091</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58290</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1467</X>
<Y>0.5003</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04185</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58291</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1488</X>
<Y>0.5000</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04277</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58292</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1509</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04359</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58293</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1530</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04429</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58294</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1551</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04486</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58295</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1572</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04530</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58296</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1593</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04560</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1614</X>
<Y>0.4973</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04575</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1634</X>
<Y>0.4967</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04579</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58299</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1655</X>
<Y>0.4961</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04580</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1675</X>
<Y>0.4955</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04583</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58301</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1695</X>
<Y>0.4949</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04591</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58302</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1715</X>
<Y>0.4942</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04607</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1735</X>
<Y>0.4935</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04634</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1755</X>
<Y>0.4927</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04671</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58305</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1775</X>
<Y>0.4920</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04712</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58306</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1794</X>
<Y>0.4912</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04755</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58307</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1814</X>
<Y>0.4904</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04801</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58308</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1833</X>
<Y>0.4895</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04846</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1852</X>
<Y>0.4886</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04884</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58310</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1870</X>
<Y>0.4877</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04916</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58311</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1889</X>
<Y>0.4868</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04943</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58312</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1907</X>
<Y>0.4858</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04965</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58313</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1926</X>
<Y>0.4848</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04990</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58314</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1944</X>
<Y>0.4838</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05030</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58315</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.4828</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05084</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58316</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1979</X>
<Y>0.4817</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05149</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58317</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1996</X>
<Y>0.4806</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05221</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58318</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.4795</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05290</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58319</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2031</X>
<Y>0.4783</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05349</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58320</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2047</X>
<Y>0.4772</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05391</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58321</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2064</X>
<Y>0.4760</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05415</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58322</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2080</X>
<Y>0.4748</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05425</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58323</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2096</X>
<Y>0.4735</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05419</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58324</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2112</X>
<Y>0.4722</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05400</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58325</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2127</X>
<Y>0.4710</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05374</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58326</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2142</X>
<Y>0.4696</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05349</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58327</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2157</X>
<Y>0.4683</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05329</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58328</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2172</X>
<Y>0.4669</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05319</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58329</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2187</X>
<Y>0.4656</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05319</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58330</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2201</X>
<Y>0.4642</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05330</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>58331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2215</X>
<Y>0.4627</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05357</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58332</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2228</X>
<Y>0.4613</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05400</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58333</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2242</X>
<Y>0.4598</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05452</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>58334</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2255</X>
<Y>0.4584</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05512</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
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