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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1977</X>
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<UT type="prediction"><UT1-UTC>0.29158</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1961</X>
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<UT type="prediction"><UT1-UTC>0.29014</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1945</X>
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<UT type="prediction"><UT1-UTC>0.28881</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28759</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28647</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1896</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28542</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1879</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28439</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.28335</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.28224</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.28100</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.27962</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.27807</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1774</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27636</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1756</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27451</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.27259</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.27068</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1701</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26885</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1682</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26716</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1663</X>
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<UT type="prediction"><UT1-UTC>0.26562</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26419</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26280</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1606</X>
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<UT type="prediction"><UT1-UTC>0.26140</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1586</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25992</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1566</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25837</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1547</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25674</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1527</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25506</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.25339</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25176</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.25021</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.24876</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.24743</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24622</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1386</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.24509</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24402</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.24296</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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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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</pole>
<UT type="prediction"><UT1-UTC>0.24071</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1282</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23944</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1262</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23802</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1241</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23646</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1220</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23477</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1199</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23297</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>0.1178</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.23113</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1157</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22934</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1136</X>
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<UT type="prediction"><UT1-UTC>0.22765</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22611</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1094</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22470</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1074</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22335</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1053</X>
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<UT type="prediction"><UT1-UTC>0.22200</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1032</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22060</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21912</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0990</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21757</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0969</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21598</UT1-UTC>
</UT>
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<dataEOP><pole type="prediction"><X>0.0949</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21441</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>0.0928</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21290</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0907</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21149</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0887</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21020</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0866</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20904</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0846</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20801</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0826</X>
<Y>0.2618</Y>
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<UT type="prediction"><UT1-UTC>0.20708</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58106</MJD>
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<dataEOP><pole type="prediction"><X>0.0805</X>
<Y>0.2624</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20623</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0785</X>
<Y>0.2629</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20542</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0765</X>
<Y>0.2635</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20460</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0745</X>
<Y>0.2642</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20373</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0725</X>
<Y>0.2648</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20276</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0706</X>
<Y>0.2655</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20168</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0686</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20047</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0666</X>
<Y>0.2669</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19914</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0647</X>
<Y>0.2677</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19771</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0628</X>
<Y>0.2685</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0609</X>
<Y>0.2693</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19472</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0590</X>
<Y>0.2702</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0571</X>
<Y>0.2710</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19196</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0552</X>
<Y>0.2719</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19078</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0534</X>
<Y>0.2729</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18967</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0516</X>
<Y>0.2738</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18858</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0497</X>
<Y>0.2748</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0479</X>
<Y>0.2758</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18617</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0462</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18483</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0444</X>
<Y>0.2780</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18343</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0427</X>
<Y>0.2790</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18203</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0409</X>
<Y>0.2802</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18068</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0392</X>
<Y>0.2813</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17942</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0375</X>
<Y>0.2825</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17827</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0359</X>
<Y>0.2837</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17725</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0342</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17635</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0326</X>
<Y>0.2862</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17555</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0310</X>
<Y>0.2874</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17482</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0295</X>
<Y>0.2887</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17412</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0279</X>
<Y>0.2900</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17342</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0264</X>
<Y>0.2914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17265</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0249</X>
<Y>0.2927</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0234</X>
<Y>0.2941</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17081</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0219</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16969</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0205</X>
<Y>0.2970</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16844</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0191</X>
<Y>0.2984</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16709</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0177</X>
<Y>0.2999</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16566</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0164</X>
<Y>0.3014</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16421</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0151</X>
<Y>0.3029</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16280</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0138</X>
<Y>0.3044</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16145</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0125</X>
<Y>0.3060</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16019</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>0.0113</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15901</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0101</X>
<Y>0.3091</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15784</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0089</X>
<Y>0.3108</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15661</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0077</X>
<Y>0.3124</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15527</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0066</X>
<Y>0.3140</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15380</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0055</X>
<Y>0.3157</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0044</X>
<Y>0.3174</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15059</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0034</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14898</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0024</X>
<Y>0.3208</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14744</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0014</X>
<Y>0.3225</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14602</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0005</X>
<Y>0.3242</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14474</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0004</X>
<Y>0.3260</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0013</X>
<Y>0.3278</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14252</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0021</X>
<Y>0.3295</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14155</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0030</X>
<Y>0.3313</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14062</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0037</X>
<Y>0.3332</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13969</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0045</X>
<Y>0.3350</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13870</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0052</X>
<Y>0.3368</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13763</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0059</X>
<Y>0.3387</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13643</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58166</MJD>
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<dataEOP><pole type="prediction"><X>-0.0065</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13508</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58167</MJD>
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<dataEOP><pole type="prediction"><X>-0.0071</X>
<Y>0.3424</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13360</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
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<dataEOP><pole type="prediction"><X>-0.0077</X>
<Y>0.3442</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13201</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58169</MJD>
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<dataEOP><pole type="prediction"><X>-0.0083</X>
<Y>0.3461</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13035</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
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<dataEOP><pole type="prediction"><X>-0.0088</X>
<Y>0.3480</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12866</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58171</MJD>
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<dataEOP><pole type="prediction"><X>-0.0093</X>
<Y>0.3499</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12702</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58172</MJD>
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<dataEOP><pole type="prediction"><X>-0.0097</X>
<Y>0.3518</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12544</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58173</MJD>
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<dataEOP><pole type="prediction"><X>-0.0101</X>
<Y>0.3537</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12395</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58174</MJD>
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<dataEOP><pole type="prediction"><X>-0.0105</X>
<Y>0.3557</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12254</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>-0.0108</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12117</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58176</MJD>
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<dataEOP><pole type="prediction"><X>-0.0111</X>
<Y>0.3595</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11975</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58177</MJD>
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<dataEOP><pole type="prediction"><X>-0.0114</X>
<Y>0.3615</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11824</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58178</MJD>
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<dataEOP><pole type="prediction"><X>-0.0116</X>
<Y>0.3634</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11658</UT1-UTC>
</UT>
</dataEOP>
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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>-0.0118</X>
<Y>0.3654</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11477</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0120</X>
<Y>0.3673</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11286</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58181</MJD>
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<dataEOP><pole type="prediction"><X>-0.0121</X>
<Y>0.3693</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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<MJD>58182</MJD>
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<dataEOP><pole type="prediction"><X>-0.0122</X>
<Y>0.3712</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10903</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58183</MJD>
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<dataEOP><pole type="prediction"><X>-0.0123</X>
<Y>0.3732</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10723</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58184</MJD>
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<dataEOP><pole type="prediction"><X>-0.0123</X>
<Y>0.3751</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10557</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58185</MJD>
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<dataEOP><pole type="prediction"><X>-0.0123</X>
<Y>0.3771</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10405</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58186</MJD>
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<dataEOP><pole type="prediction"><X>-0.0122</X>
<Y>0.3791</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10264</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58187</MJD>
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<dataEOP><pole type="prediction"><X>-0.0122</X>
<Y>0.3810</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10134</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>-0.0120</X>
<Y>0.3830</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10009</UT1-UTC>
</UT>
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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>-0.0119</X>
<Y>0.3849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09885</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>-0.0117</X>
<Y>0.3869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09756</UT1-UTC>
</UT>
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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>-0.0115</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09619</UT1-UTC>
</UT>
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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>-0.0112</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09470</UT1-UTC>
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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>-0.0109</X>
<Y>0.3928</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09304</UT1-UTC>
</UT>
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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>-0.0106</X>
<Y>0.3947</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09122</UT1-UTC>
</UT>
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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>-0.0102</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08925</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58196</MJD>
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<dataEOP><pole type="prediction"><X>-0.0098</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08718</UT1-UTC>
</UT>
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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>-0.0094</X>
<Y>0.4005</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08507</UT1-UTC>
</UT>
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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>-0.0089</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08297</UT1-UTC>
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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>-0.0084</X>
<Y>0.4044</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08097</UT1-UTC>
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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>-0.0079</X>
<Y>0.4063</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07908</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0073</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07731</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>-0.0067</X>
<Y>0.4101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07564</UT1-UTC>
</UT>
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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>-0.0060</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07402</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>-0.0053</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07239</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>-0.0046</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07068</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>-0.0039</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06888</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>-0.0031</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06700</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58208</MJD>
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<dataEOP><pole type="prediction"><X>-0.0023</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06508</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>-0.0015</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06321</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0006</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06143</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05978</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58212</MJD>
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<dataEOP><pole type="prediction"><X>0.0013</X>
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<UT type="prediction"><UT1-UTC>0.05828</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>0.0023</X>
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<UT type="prediction"><UT1-UTC>0.05694</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0033</X>
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<UT type="prediction"><UT1-UTC>0.05573</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0043</X>
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<UT type="prediction"><UT1-UTC>0.05462</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05356</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05251</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05143</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05027</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.04900</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0112</X>
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<UT type="prediction"><UT1-UTC>0.04763</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>0.0124</X>
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<UT type="prediction"><UT1-UTC>0.04614</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>0.0137</X>
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<UT type="prediction"><UT1-UTC>0.04456</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>0.0150</X>
<Y>0.4490</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04295</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58225</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0164</X>
<Y>0.4505</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04136</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0177</X>
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<UT type="prediction"><UT1-UTC>0.03986</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0191</X>
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<UT type="prediction"><UT1-UTC>0.03848</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0206</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03720</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0220</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03597</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>0.0235</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03476</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0250</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03353</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0265</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03218</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>0.0281</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03068</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58234</MJD>
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<dataEOP><pole type="prediction"><X>0.0296</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02901</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>0.0312</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02716</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>0.0329</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02525</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58237</MJD>
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<dataEOP><pole type="prediction"><X>0.0345</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02337</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58238</MJD>
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<dataEOP><pole type="prediction"><X>0.0362</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02162</UT1-UTC>
</UT>
</dataEOP>
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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>0.0379</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02002</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58240</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0396</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01860</UT1-UTC>
</UT>
</dataEOP>
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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>0.0414</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01736</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58242</MJD>
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<dataEOP><pole type="prediction"><X>0.0431</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01629</UT1-UTC>
</UT>
</dataEOP>
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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>0.0449</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01532</UT1-UTC>
</UT>
</dataEOP>
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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>0.0467</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01442</UT1-UTC>
</UT>
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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>0.0485</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01352</UT1-UTC>
</UT>
</dataEOP>
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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>0.0504</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01256</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58247</MJD>
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<dataEOP><pole type="prediction"><X>0.0522</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01154</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58248</MJD>
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<dataEOP><pole type="prediction"><X>0.0541</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01044</UT1-UTC>
</UT>
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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>0.0560</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00923</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58250</MJD>
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<dataEOP><pole type="prediction"><X>0.0579</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00791</UT1-UTC>
</UT>
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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>0.0599</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00654</UT1-UTC>
</UT>
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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>0.0618</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00516</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>0.0638</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00383</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>0.0658</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00260</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>0.0678</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00152</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58256</MJD>
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<dataEOP><pole type="prediction"><X>0.0698</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00056</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>0.0718</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00034</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58258</MJD>
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<dataEOP><pole type="prediction"><X>0.0739</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00126</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>0.0759</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00225</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0780</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00334</UT1-UTC>
</UT>
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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>0.0801</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00454</UT1-UTC>
</UT>
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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>0.0821</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00580</UT1-UTC>
</UT>
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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>0.0842</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00703</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>0.0863</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00817</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>0.0885</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00924</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>0.0906</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01018</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>0.0927</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01103</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>0.0949</X>
<Y>0.4961</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.01176</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>0.0970</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01237</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>0.0992</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01288</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>0.1013</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01333</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>0.1035</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01378</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58273</MJD>
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<dataEOP><pole type="prediction"><X>0.1057</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01426</UT1-UTC>
</UT>
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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>0.1078</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01486</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>0.1100</X>
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<UT type="prediction"><UT1-UTC>-0.01556</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58276</MJD>
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<dataEOP><pole type="prediction"><X>0.1122</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01637</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>0.1144</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01727</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58278</MJD>
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<dataEOP><pole type="prediction"><X>0.1166</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01827</UT1-UTC>
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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>0.1188</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01934</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58280</MJD>
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<dataEOP><pole type="prediction"><X>0.1210</X>
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<UT type="prediction"><UT1-UTC>-0.02034</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58281</MJD>
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<dataEOP><pole type="prediction"><X>0.1231</X>
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<UT type="prediction"><UT1-UTC>-0.02124</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>0.1253</X>
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<UT type="prediction"><UT1-UTC>-0.02202</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58283</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1275</X>
<Y>0.4994</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02264</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58284</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1297</X>
<Y>0.4994</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02313</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58285</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1319</X>
<Y>0.4993</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02364</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1341</X>
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<UT type="prediction"><UT1-UTC>-0.02417</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1362</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02478</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58288</MJD>
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<dataEOP><pole type="prediction"><X>0.1384</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02550</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58289</MJD>
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<dataEOP><pole type="prediction"><X>0.1406</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02627</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58290</MJD>
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<dataEOP><pole type="prediction"><X>0.1427</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02706</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58291</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1449</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02781</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58292</MJD>
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<dataEOP><pole type="prediction"><X>0.1470</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02846</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58293</MJD>
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<dataEOP><pole type="prediction"><X>0.1492</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02895</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58294</MJD>
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<dataEOP><pole type="prediction"><X>0.1513</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02927</UT1-UTC>
</UT>
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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>0.1534</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02945</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58296</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1556</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02951</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58297</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1577</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02952</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58298</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1598</X>
<Y>0.4956</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02951</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58299</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1618</X>
<Y>0.4951</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02947</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58300</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1639</X>
<Y>0.4946</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.02941</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58301</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1660</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02942</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58302</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1680</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>58303</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1701</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02989</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58304</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1721</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03033</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58305</MJD>
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<dataEOP><pole type="prediction"><X>0.1741</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03088</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>0.1761</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03147</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>0.1781</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03208</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58308</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1801</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03268</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58309</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1820</X>
<Y>0.4884</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03323</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58310</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1840</X>
<Y>0.4876</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03372</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58311</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1859</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03411</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58312</MJD>
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<dataEOP><pole type="prediction"><X>0.1878</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03452</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58313</MJD>
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<dataEOP><pole type="prediction"><X>0.1897</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03499</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58314</MJD>
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<dataEOP><pole type="prediction"><X>0.1915</X>
<Y>0.4840</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03556</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58315</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1934</X>
<Y>0.4831</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03623</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58316</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1952</X>
<Y>0.4821</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03698</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58317</MJD>
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<dataEOP><pole type="prediction"><X>0.1970</X>
<Y>0.4810</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03776</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58318</MJD>
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<dataEOP><pole type="prediction"><X>0.1988</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03852</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58319</MJD>
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<dataEOP><pole type="prediction"><X>0.2006</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03919</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58320</MJD>
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<dataEOP><pole type="prediction"><X>0.2023</X>
<Y>0.4778</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03971</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58321</MJD>
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<dataEOP><pole type="prediction"><X>0.2040</X>
<Y>0.4767</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04003</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58322</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2057</X>
<Y>0.4756</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>24</dateDay>
<MJD>58323</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2074</X>
<Y>0.4744</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>25</dateDay>
<MJD>58324</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2091</X>
<Y>0.4732</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04001</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58325</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2107</X>
<Y>0.4720</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03976</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>0.2123</X>
<Y>0.4707</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03948</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>0.4695</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03922</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>0.2154</X>
<Y>0.4682</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03905</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>0.4668</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03906</UT1-UTC>
</UT>
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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>0.4655</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.03928</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58331</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2199</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03966</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58332</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2214</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04020</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58333</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2228</X>
<Y>0.4614</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04086</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>0.2242</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04154</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58335</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2256</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04222</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>0.2269</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04286</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58337</MJD>
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<dataEOP><pole type="prediction"><X>0.2283</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04345</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58338</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2295</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04397</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58339</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2308</X>
<Y>0.4526</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04438</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58340</MJD>
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<dataEOP><pole type="prediction"><X>0.2320</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04478</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58341</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2332</X>
<Y>0.4495</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04528</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58342</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2344</X>
<Y>0.4479</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04594</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>0.2355</X>
<Y>0.4463</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04673</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58344</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2366</X>
<Y>0.4447</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04762</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>0.2377</X>
<Y>0.4431</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.04853</UT1-UTC>
</UT>
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