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<UT type="prediction"><UT1-UTC>0.27694</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27511</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27328</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27153</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26992</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1670</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26844</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26705</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.26570</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.26431</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.26285</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1574</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26131</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1555</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25970</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1535</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25804</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1516</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25640</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1496</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25480</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1476</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25330</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1456</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25192</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1436</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25066</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1416</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24952</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1395</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24848</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1375</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24750</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1355</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24653</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1334</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24552</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1314</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24443</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1293</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24323</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>0.24188</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1252</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24037</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1232</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23871</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1211</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23695</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58088</MJD>
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<dataEOP><pole type="prediction"><X>0.1190</X>
<Y>0.2573</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23515</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>0.1170</X>
<Y>0.2573</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23338</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1149</X>
<Y>0.2574</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23171</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1128</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23019</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1108</X>
<Y>0.2576</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22878</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58093</MJD>
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<dataEOP><pole type="prediction"><X>0.1087</X>
<Y>0.2577</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22745</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1066</X>
<Y>0.2579</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22611</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1046</X>
<Y>0.2581</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22471</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58096</MJD>
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<dataEOP><pole type="prediction"><X>0.1025</X>
<Y>0.2583</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22324</UT1-UTC>
</UT>
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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>0.1004</X>
<Y>0.2586</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22170</UT1-UTC>
</UT>
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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>0.0984</X>
<Y>0.2588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22013</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58099</MJD>
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<dataEOP><pole type="prediction"><X>0.0963</X>
<Y>0.2592</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21857</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>0.0943</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21708</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58101</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0923</X>
<Y>0.2599</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21567</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>0.0902</X>
<Y>0.2603</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21439</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>0.0882</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21322</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0862</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21218</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
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<dataEOP><pole type="prediction"><X>0.0842</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21123</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0822</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21035</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58107</MJD>
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<dataEOP><pole type="prediction"><X>0.0802</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20950</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0782</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20864</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0762</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20772</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0742</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20670</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58111</MJD>
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<dataEOP><pole type="prediction"><X>0.0723</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20557</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0703</X>
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<UT type="prediction"><UT1-UTC>0.20431</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58113</MJD>
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<dataEOP><pole type="prediction"><X>0.0684</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20293</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0665</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20145</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0646</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19991</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0627</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19837</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0608</X>
<Y>0.2700</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19690</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0590</X>
<Y>0.2708</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19553</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
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<dataEOP><pole type="prediction"><X>0.0571</X>
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<UT type="prediction"><UT1-UTC>0.19429</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58120</MJD>
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<dataEOP><pole type="prediction"><X>0.0553</X>
<Y>0.2727</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19312</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58121</MJD>
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<dataEOP><pole type="prediction"><X>0.0535</X>
<Y>0.2736</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19197</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0517</X>
<Y>0.2746</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19076</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0499</X>
<Y>0.2756</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18947</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0482</X>
<Y>0.2767</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18808</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0464</X>
<Y>0.2777</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18664</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0447</X>
<Y>0.2788</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18524</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>0.0430</X>
<Y>0.2799</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18389</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>0.0413</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18263</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>0.0396</X>
<Y>0.2822</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18149</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>0.0380</X>
<Y>0.2834</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18047</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>0.0364</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17957</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>0.0348</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17877</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0332</X>
<Y>0.2871</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17804</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>0.0316</X>
<Y>0.2884</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17734</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0301</X>
<Y>0.2897</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17664</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>0.0286</X>
<Y>0.2911</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17588</UT1-UTC>
</UT>
</dataEOP>
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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>0.0271</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17503</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0256</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17406</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0242</X>
<Y>0.2952</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17296</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>0.0228</X>
<Y>0.2966</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17173</UT1-UTC>
</UT>
</dataEOP>
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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>0.0214</X>
<Y>0.2980</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17039</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0200</X>
<Y>0.2995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16898</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0187</X>
<Y>0.3010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16756</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>0.0174</X>
<Y>0.3025</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16616</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0161</X>
<Y>0.3040</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16484</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0149</X>
<Y>0.3056</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16361</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>0.0136</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16245</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0125</X>
<Y>0.3087</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16130</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>0.0113</X>
<Y>0.3103</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16010</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>0.0101</X>
<Y>0.3119</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15878</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0090</X>
<Y>0.3135</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15733</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0079</X>
<Y>0.3152</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15576</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0069</X>
<Y>0.3168</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15415</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>0.0059</X>
<Y>0.3185</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15256</UT1-UTC>
</UT>
</dataEOP>
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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>0.0049</X>
<Y>0.3202</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15104</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>0.0039</X>
<Y>0.3219</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14963</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0030</X>
<Y>0.3237</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14836</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>0.0021</X>
<Y>0.3254</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14721</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>0.0012</X>
<Y>0.3271</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14617</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0004</X>
<Y>0.3289</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14521</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0004</X>
<Y>0.3307</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14428</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0012</X>
<Y>0.3325</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14335</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0019</X>
<Y>0.3343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14237</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0026</X>
<Y>0.3361</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14130</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0033</X>
<Y>0.3379</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14010</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.3398</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13876</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0045</X>
<Y>0.3416</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13728</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0051</X>
<Y>0.3435</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13569</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0057</X>
<Y>0.3453</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13403</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0062</X>
<Y>0.3472</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13234</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>-0.0066</X>
<Y>0.3491</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13069</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0071</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12911</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0075</X>
<Y>0.3529</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12762</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0079</X>
<Y>0.3548</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12621</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0082</X>
<Y>0.3567</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12483</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>-0.0085</X>
<Y>0.3586</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12342</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0088</X>
<Y>0.3605</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12190</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>-0.0090</X>
<Y>0.3624</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12024</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
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<dataEOP><pole type="prediction"><X>-0.0092</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11843</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0093</X>
<Y>0.3663</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11653</UT1-UTC>
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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>-0.0095</X>
<Y>0.3682</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11459</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>-0.0096</X>
<Y>0.3702</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11270</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>-0.0096</X>
<Y>0.3721</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11092</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0096</X>
<Y>0.3741</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10926</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>-0.0096</X>
<Y>0.3760</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10775</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>-0.0096</X>
<Y>0.3779</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10637</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0095</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10509</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58188</MJD>
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<dataEOP><pole type="prediction"><X>-0.0094</X>
<Y>0.3818</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10387</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58189</MJD>
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<dataEOP><pole type="prediction"><X>-0.0092</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10266</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58190</MJD>
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<dataEOP><pole type="prediction"><X>-0.0090</X>
<Y>0.3857</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10142</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58191</MJD>
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<dataEOP><pole type="prediction"><X>-0.0088</X>
<Y>0.3876</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10009</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58192</MJD>
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<dataEOP><pole type="prediction"><X>-0.0086</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09865</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58193</MJD>
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<dataEOP><pole type="prediction"><X>-0.0083</X>
<Y>0.3915</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09706</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58194</MJD>
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<dataEOP><pole type="prediction"><X>-0.0079</X>
<Y>0.3934</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09532</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58195</MJD>
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<dataEOP><pole type="prediction"><X>-0.0076</X>
<Y>0.3954</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09344</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58196</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0072</X>
<Y>0.3973</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09146</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58197</MJD>
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<dataEOP><pole type="prediction"><X>-0.0067</X>
<Y>0.3992</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08945</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58198</MJD>
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<dataEOP><pole type="prediction"><X>-0.0063</X>
<Y>0.4011</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08746</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58199</MJD>
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<dataEOP><pole type="prediction"><X>-0.0058</X>
<Y>0.4030</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08555</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58200</MJD>
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<dataEOP><pole type="prediction"><X>-0.0052</X>
<Y>0.4049</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08373</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58201</MJD>
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<dataEOP><pole type="prediction"><X>-0.0047</X>
<Y>0.4068</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08199</UT1-UTC>
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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>-0.0041</X>
<Y>0.4086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08029</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58203</MJD>
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<dataEOP><pole type="prediction"><X>-0.0034</X>
<Y>0.4105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07856</UT1-UTC>
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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>-0.0028</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07675</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58205</MJD>
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<dataEOP><pole type="prediction"><X>-0.0021</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07479</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58206</MJD>
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<dataEOP><pole type="prediction"><X>-0.0013</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07267</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>-0.0005</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07043</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0003</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06813</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58209</MJD>
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<dataEOP><pole type="prediction"><X>0.0011</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06586</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58210</MJD>
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<dataEOP><pole type="prediction"><X>0.0020</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06372</UT1-UTC>
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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>0.0029</X>
<Y>0.4251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06175</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0038</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05998</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58213</MJD>
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<dataEOP><pole type="prediction"><X>0.0048</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05841</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0058</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05701</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0068</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05576</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0078</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05460</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0089</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05347</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58218</MJD>
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<dataEOP><pole type="prediction"><X>0.0101</X>
<Y>0.4372</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05232</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0112</X>
<Y>0.4389</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05110</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0124</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04975</UT1-UTC>
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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>0.0136</X>
<Y>0.4422</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04827</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58222</MJD>
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<dataEOP><pole type="prediction"><X>0.0148</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04666</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58223</MJD>
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<dataEOP><pole type="prediction"><X>0.0161</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04495</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58224</MJD>
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<dataEOP><pole type="prediction"><X>0.0174</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04319</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58225</MJD>
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<dataEOP><pole type="prediction"><X>0.0187</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04145</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58226</MJD>
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<dataEOP><pole type="prediction"><X>0.0201</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03981</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58227</MJD>
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<dataEOP><pole type="prediction"><X>0.0215</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03830</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58228</MJD>
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<dataEOP><pole type="prediction"><X>0.0229</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03693</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58229</MJD>
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<dataEOP><pole type="prediction"><X>0.0243</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03567</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58230</MJD>
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<dataEOP><pole type="prediction"><X>0.0258</X>
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<UT type="prediction"><UT1-UTC>0.03446</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58231</MJD>
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<dataEOP><pole type="prediction"><X>0.0272</X>
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<UT type="prediction"><UT1-UTC>0.03325</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58232</MJD>
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<dataEOP><pole type="prediction"><X>0.0288</X>
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<UT type="prediction"><UT1-UTC>0.03196</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58233</MJD>
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<dataEOP><pole type="prediction"><X>0.0303</X>
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<UT type="prediction"><UT1-UTC>0.03060</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58234</MJD>
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<dataEOP><pole type="prediction"><X>0.0319</X>
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<UT type="prediction"><UT1-UTC>0.02915</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58235</MJD>
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<dataEOP><pole type="prediction"><X>0.0334</X>
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<UT type="prediction"><UT1-UTC>0.02766</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58236</MJD>
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<dataEOP><pole type="prediction"><X>0.0351</X>
<Y>0.4645</Y>
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<UT type="prediction"><UT1-UTC>0.02619</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58237</MJD>
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<dataEOP><pole type="prediction"><X>0.0367</X>
<Y>0.4658</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02477</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58238</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0383</X>
<Y>0.4671</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.02346</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58239</MJD>
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<dataEOP><pole type="prediction"><X>0.0400</X>
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<UT type="prediction"><UT1-UTC>0.02232</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0417</X>
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<UT type="prediction"><UT1-UTC>0.02135</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58241</MJD>
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<dataEOP><pole type="prediction"><X>0.0434</X>
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<UT type="prediction"><UT1-UTC>0.02049</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58242</MJD>
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<dataEOP><pole type="prediction"><X>0.0452</X>
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<UT type="prediction"><UT1-UTC>0.01971</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>0.0470</X>
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<UT type="prediction"><UT1-UTC>0.01893</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58244</MJD>
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<dataEOP><pole type="prediction"><X>0.0487</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01820</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58245</MJD>
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<dataEOP><pole type="prediction"><X>0.0505</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01744</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>0.0524</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01658</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>0.0542</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01559</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>0.0561</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01441</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58249</MJD>
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<dataEOP><pole type="prediction"><X>0.0580</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01300</UT1-UTC>
</UT>
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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>0.0599</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01142</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58251</MJD>
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<dataEOP><pole type="prediction"><X>0.0618</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00974</UT1-UTC>
</UT>
</dataEOP>
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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>0.0637</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00806</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>0.0656</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00645</UT1-UTC>
</UT>
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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>0.0676</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00498</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>0.0696</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00369</UT1-UTC>
</UT>
</dataEOP>
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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>0.0716</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00259</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>0.0736</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00159</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>0.0756</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00062</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>0.0776</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00038</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0797</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00146</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>0.0817</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00260</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>0.0838</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00376</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>0.0858</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00491</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>0.0879</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00599</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>0.0900</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00696</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>0.0921</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00778</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>0.0942</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00846</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>0.0964</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00900</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>0.0985</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00942</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>0.1006</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00975</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>0.1027</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01004</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>0.1049</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01036</UT1-UTC>
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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>0.1070</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01073</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58274</MJD>
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<dataEOP><pole type="prediction"><X>0.1092</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01120</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58275</MJD>
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<dataEOP><pole type="prediction"><X>0.1113</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01180</UT1-UTC>
</UT>
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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>0.1135</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01251</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>0.1157</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01329</UT1-UTC>
</UT>
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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>0.1178</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01412</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>0.1200</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01503</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>0.1221</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01593</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>0.1243</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01683</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>0.1265</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01763</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>0.1286</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01830</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>0.1308</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01887</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>0.1329</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01942</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58286</MJD>
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<dataEOP><pole type="prediction"><X>0.1351</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02001</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>0.1372</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02068</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>0.1394</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02149</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>0.1415</X>
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<UT type="prediction"><UT1-UTC>-0.02238</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58290</MJD>
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<dataEOP><pole type="prediction"><X>0.1437</X>
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<UT type="prediction"><UT1-UTC>-0.02325</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58291</MJD>
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<dataEOP><pole type="prediction"><X>0.1458</X>
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<UT type="prediction"><UT1-UTC>-0.02407</UT1-UTC>
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<MJD>58292</MJD>
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<dataEOP><pole type="prediction"><X>0.1479</X>
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<UT type="prediction"><UT1-UTC>-0.02481</UT1-UTC>
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<MJD>58293</MJD>
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<dataEOP><pole type="prediction"><X>0.1500</X>
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<UT type="prediction"><UT1-UTC>-0.02542</UT1-UTC>
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<MJD>58294</MJD>
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<UT type="prediction"><UT1-UTC>-0.02583</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>0.1542</X>
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<UT type="prediction"><UT1-UTC>-0.02608</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>0.1563</X>
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<UT type="prediction"><UT1-UTC>-0.02620</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>0.1584</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02620</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1605</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02613</UT1-UTC>
</UT>
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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>0.1625</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02607</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1646</X>
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<UT type="prediction"><UT1-UTC>-0.02603</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1666</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02605</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58302</MJD>
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<dataEOP><pole type="prediction"><X>0.1687</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02618</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1707</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02641</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1727</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02676</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58305</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1747</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02722</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58306</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1766</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02773</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58307</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1786</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02824</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58308</MJD>
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<dataEOP><pole type="prediction"><X>0.1806</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02870</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1825</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02908</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58310</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1844</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02936</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58311</MJD>
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<dataEOP><pole type="prediction"><X>0.1863</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02959</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58312</MJD>
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<dataEOP><pole type="prediction"><X>0.1882</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02983</UT1-UTC>
</UT>
</dataEOP>
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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>0.1900</X>
<Y>0.4820</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03010</UT1-UTC>
</UT>
</dataEOP>
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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>0.1919</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03043</UT1-UTC>
</UT>
</dataEOP>
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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>0.1937</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03088</UT1-UTC>
</UT>
</dataEOP>
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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>0.1955</X>
<Y>0.4791</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03150</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58317</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.4781</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03218</UT1-UTC>
</UT>
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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>0.1990</X>
<Y>0.4770</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03287</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>0.2008</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03348</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58320</MJD>
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<dataEOP><pole type="prediction"><X>0.2025</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03394</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58321</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2042</X>
<Y>0.4737</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03425</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>0.2059</X>
<Y>0.4726</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03443</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>0.2075</X>
<Y>0.4714</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03454</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>0.2092</X>
<Y>0.4702</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03460</UT1-UTC>
</UT>
</dataEOP>
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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>0.2108</X>
<Y>0.4690</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03460</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58326</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2124</X>
<Y>0.4678</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03465</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>0.2139</X>
<Y>0.4665</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03475</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>0.2155</X>
<Y>0.4653</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03492</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>0.2170</X>
<Y>0.4640</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03516</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>31</dateDay>
<MJD>58330</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2185</X>
<Y>0.4626</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03550</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2199</X>
<Y>0.4613</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03594</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58332</MJD>
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<dataEOP><pole type="prediction"><X>0.2214</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03650</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58333</MJD>
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<dataEOP><pole type="prediction"><X>0.2228</X>
<Y>0.4585</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03713</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58334</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2241</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03777</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58335</MJD>
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<dataEOP><pole type="prediction"><X>0.2255</X>
<Y>0.4557</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03836</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58336</MJD>
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<dataEOP><pole type="prediction"><X>0.2268</X>
<Y>0.4542</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03885</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58337</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2281</X>
<Y>0.4528</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03924</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58338</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2294</X>
<Y>0.4513</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03949</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58339</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2306</X>
<Y>0.4498</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03969</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58340</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2318</X>
<Y>0.4482</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03988</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58341</MJD>
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<dataEOP><pole type="prediction"><X>0.2330</X>
<Y>0.4467</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04017</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58342</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2342</X>
<Y>0.4451</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04065</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58343</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2353</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04136</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58344</MJD>
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<dataEOP><pole type="prediction"><X>0.2364</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04226</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58345</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2374</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04324</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58346</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2385</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04421</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58347</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2395</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04509</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58348</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2404</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04583</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58349</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2414</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04642</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58350</MJD>
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<dataEOP><pole type="prediction"><X>0.2423</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04690</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58351</MJD>
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<dataEOP><pole type="prediction"><X>0.2431</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04730</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58352</MJD>
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<dataEOP><pole type="prediction"><X>0.2440</X>
<Y>0.4287</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04765</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58353</MJD>
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<dataEOP><pole type="prediction"><X>0.2448</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04793</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58354</MJD>
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<dataEOP><pole type="prediction"><X>0.2456</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04821</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58355</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2463</X>
<Y>0.4235</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04854</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58356</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2470</X>
<Y>0.4218</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04898</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58357</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2477</X>
<Y>0.4200</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04953</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58358</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2483</X>
<Y>0.4183</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.05020</UT1-UTC>
</UT>
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