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<UT type="prediction"><UT1-UTC>0.35844</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35791</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35748</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1475</X>
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<UT type="prediction"><UT1-UTC>0.35717</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35699</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.35693</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.35697</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1534</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35708</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1548</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35721</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1562</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35734</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1576</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35741</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1590</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35738</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1604</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35722</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1618</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35694</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1631</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35654</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1644</X>
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<UT type="prediction"><UT1-UTC>0.35605</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1657</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35554</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1670</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35505</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1683</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35463</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1695</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35434</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1708</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35415</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1720</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35404</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1732</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35393</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1743</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35376</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1755</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35350</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1766</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35314</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1777</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35272</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1788</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35228</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1799</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35188</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57964</MJD>
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<dataEOP><pole type="prediction"><X>0.1809</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35155</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1819</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35131</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1829</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35119</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1839</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35117</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1849</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35123</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1858</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35136</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1867</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35150</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1876</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35162</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1884</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35166</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1892</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35159</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1900</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35138</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57975</MJD>
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<dataEOP><pole type="prediction"><X>0.1908</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35101</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1916</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35050</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1923</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34988</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57978</MJD>
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<dataEOP><pole type="prediction"><X>0.1930</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34920</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1937</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34853</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1943</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34791</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1949</X>
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<UT type="prediction"><UT1-UTC>0.34737</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1955</X>
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<UT type="prediction"><UT1-UTC>0.34693</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>0.34654</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1966</X>
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<UT type="prediction"><UT1-UTC>0.34615</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1972</X>
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<UT type="prediction"><UT1-UTC>0.34572</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1976</X>
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<UT type="prediction"><UT1-UTC>0.34517</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1981</X>
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<UT type="prediction"><UT1-UTC>0.34451</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1985</X>
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<UT type="prediction"><UT1-UTC>0.34374</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1989</X>
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<UT type="prediction"><UT1-UTC>0.34292</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1993</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34210</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1996</X>
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<UT type="prediction"><UT1-UTC>0.34133</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2000</X>
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<UT type="prediction"><UT1-UTC>0.34064</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2002</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34004</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57994</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.3862</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33955</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>57995</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2007</X>
<Y>0.3847</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33915</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>57996</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2009</X>
<Y>0.3831</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>57997</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2011</X>
<Y>0.3816</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33847</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>57998</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2013</X>
<Y>0.3801</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33811</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>57999</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.3786</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33768</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>58000</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
<Y>0.3770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33714</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
<Y>0.3755</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33644</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2016</X>
<Y>0.3740</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33558</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2016</X>
<Y>0.3724</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33455</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
<Y>0.3709</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33339</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
<Y>0.3693</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.3678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33092</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2013</X>
<Y>0.3663</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32974</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2011</X>
<Y>0.3647</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2010</X>
<Y>0.3632</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32768</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2008</X>
<Y>0.3616</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32678</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
<Y>0.3601</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32590</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2003</X>
<Y>0.3586</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32499</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2000</X>
<Y>0.3571</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1997</X>
<Y>0.3555</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32287</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1993</X>
<Y>0.3540</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32162</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1990</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32030</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>58017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1986</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31894</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.3495</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31760</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1977</X>
<Y>0.3480</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31633</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.3465</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31516</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1967</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31410</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.3435</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31315</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1956</X>
<Y>0.3421</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31227</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1950</X>
<Y>0.3406</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1943</X>
<Y>0.3391</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31061</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1937</X>
<Y>0.3377</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30974</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1930</X>
<Y>0.3362</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30878</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1923</X>
<Y>0.3348</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30768</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1916</X>
<Y>0.3334</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30642</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1908</X>
<Y>0.3320</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30499</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1901</X>
<Y>0.3306</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30340</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1893</X>
<Y>0.3292</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30171</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1884</X>
<Y>0.3279</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29998</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1876</X>
<Y>0.3265</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29830</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1867</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29673</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1858</X>
<Y>0.3238</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29529</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1848</X>
<Y>0.3225</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29397</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1839</X>
<Y>0.3212</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29270</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1829</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1819</X>
<Y>0.3186</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29013</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1809</X>
<Y>0.3174</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28872</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1798</X>
<Y>0.3161</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28720</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1788</X>
<Y>0.3149</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28560</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1777</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28395</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1766</X>
<Y>0.3125</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28231</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1754</X>
<Y>0.3113</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28073</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1743</X>
<Y>0.3101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27925</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1731</X>
<Y>0.3090</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27788</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1719</X>
<Y>0.3078</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27662</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1707</X>
<Y>0.3067</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27548</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1694</X>
<Y>0.3056</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27440</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1682</X>
<Y>0.3046</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27336</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1669</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27231</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1656</X>
<Y>0.3025</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
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<UT type="prediction"><UT1-UTC>0.26999</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26864</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26713</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26546</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26366</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26178</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25992</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25814</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25650</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25500</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25361</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25226</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25089</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24946</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24794</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24636</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24474</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24313</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24157</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24010</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23875</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23752</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23642</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23541</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23446</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23353</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23258</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23156</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.23042</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22916</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22774</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22618</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22452</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22280</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.22111</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21952</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21804</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21668</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21538</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21407</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.21269</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21122</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20968</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.20810</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20653</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20501</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20360</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20232</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20120</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20021</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19934</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19855</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19777</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19695</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19604</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19498</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19377</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19241</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.19092</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0697</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18932</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58115</MJD>
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<dataEOP><pole type="prediction"><X>0.0681</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18768</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0665</X>
<Y>0.2854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18607</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0650</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18455</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>0.0634</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18316</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>0.0618</X>
<Y>0.2871</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18190</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>0.0603</X>
<Y>0.2877</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18074</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>0.0588</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17961</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>0.0573</X>
<Y>0.2890</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17844</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>0.0558</X>
<Y>0.2897</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17721</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>0.0543</X>
<Y>0.2904</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17594</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>0.0528</X>
<Y>0.2912</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17460</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>0.0514</X>
<Y>0.2919</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17323</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>0.0499</X>
<Y>0.2927</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17190</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>0.0485</X>
<Y>0.2935</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17061</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>0.0471</X>
<Y>0.2943</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16939</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>0.0457</X>
<Y>0.2952</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16831</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>0.0443</X>
<Y>0.2961</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16737</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>0.0430</X>
<Y>0.2970</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16649</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>0.0416</X>
<Y>0.2979</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16567</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>0.0403</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16490</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>0.0390</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16410</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0377</X>
<Y>0.3008</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16324</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0364</X>
<Y>0.3018</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16231</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>0.0352</X>
<Y>0.3028</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16129</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>0.0340</X>
<Y>0.3038</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16015</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>0.0328</X>
<Y>0.3049</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15890</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>0.0316</X>
<Y>0.3060</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15757</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>0.0304</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15622</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>0.0293</X>
<Y>0.3082</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15486</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>0.0282</X>
<Y>0.3094</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15351</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>0.0271</X>
<Y>0.3105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15222</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>0.0260</X>
<Y>0.3117</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15101</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0249</X>
<Y>0.3129</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14989</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>0.0239</X>
<Y>0.3141</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14879</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0229</X>
<Y>0.3153</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14760</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0219</X>
<Y>0.3166</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14625</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>0.0209</X>
<Y>0.3179</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14474</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0200</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14309</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>0.0191</X>
<Y>0.3204</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14143</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>0.0182</X>
<Y>0.3217</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13981</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>0.0174</X>
<Y>0.3231</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13825</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>0.0165</X>
<Y>0.3244</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13679</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>0.0157</X>
<Y>0.3257</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13550</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>0.0149</X>
<Y>0.3271</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13433</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0142</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13328</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0134</X>
<Y>0.3299</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13234</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0127</X>
<Y>0.3313</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13145</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0121</X>
<Y>0.3327</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13060</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0114</X>
<Y>0.3341</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12975</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0108</X>
<Y>0.3356</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12882</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0102</X>
<Y>0.3370</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12775</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0096</X>
<Y>0.3385</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12651</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0091</X>
<Y>0.3399</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12513</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0086</X>
<Y>0.3414</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12366</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0081</X>
<Y>0.3429</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12202</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0076</X>
<Y>0.3444</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12030</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0072</X>
<Y>0.3459</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11861</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0068</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11699</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0064</X>
<Y>0.3489</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11540</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0061</X>
<Y>0.3504</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11389</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
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<UT type="prediction"><UT1-UTC>0.11240</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0055</X>
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<UT type="prediction"><UT1-UTC>0.11088</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0052</X>
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<UT type="prediction"><UT1-UTC>0.10929</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0050</X>
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<UT type="prediction"><UT1-UTC>0.10760</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0048</X>
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<UT type="prediction"><UT1-UTC>0.10581</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58180</MJD>
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<dataEOP><pole type="prediction"><X>0.0046</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10393</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0045</X>
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<UT type="prediction"><UT1-UTC>0.10202</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0044</X>
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<UT type="prediction"><UT1-UTC>0.10012</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>0.09834</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0042</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09666</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0042</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09505</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0042</X>
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<UT type="prediction"><UT1-UTC>0.09354</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0042</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09213</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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</pole>
<UT type="prediction"><UT1-UTC>0.09081</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0044</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08953</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0045</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08823</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0047</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08687</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0048</X>
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<UT type="prediction"><UT1-UTC>0.08538</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0051</X>
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<UT type="prediction"><UT1-UTC>0.08373</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0053</X>
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<UT type="prediction"><UT1-UTC>0.08192</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0056</X>
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<UT type="prediction"><UT1-UTC>0.08002</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0059</X>
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<UT type="prediction"><UT1-UTC>0.07801</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0062</X>
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<UT type="prediction"><UT1-UTC>0.07598</UT1-UTC>
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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>0.0065</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07401</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>0.0069</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07211</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>0.0073</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07024</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58201</MJD>
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<dataEOP><pole type="prediction"><X>0.0078</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06841</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.06661</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.06479</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58204</MJD>
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<dataEOP><pole type="prediction"><X>0.0092</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06293</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58205</MJD>
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</pole>
<UT type="prediction"><UT1-UTC>0.06097</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58206</MJD>
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</pole>
<UT type="prediction"><UT1-UTC>0.05888</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58207</MJD>
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</pole>
<UT type="prediction"><UT1-UTC>0.05668</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.05441</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.05216</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0130</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04999</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.04800</UT1-UTC>
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<MJD>58212</MJD>
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<dataEOP><pole type="prediction"><X>0.0144</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04618</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0152</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04451</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58214</MJD>
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<dataEOP><pole type="prediction"><X>0.0160</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04300</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58215</MJD>
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<dataEOP><pole type="prediction"><X>0.0168</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04164</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0176</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04039</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0185</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03920</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58218</MJD>
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<dataEOP><pole type="prediction"><X>0.0194</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03801</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58219</MJD>
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<dataEOP><pole type="prediction"><X>0.0203</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03676</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0212</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03538</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58221</MJD>
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<dataEOP><pole type="prediction"><X>0.0222</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03379</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>0.0232</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03203</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>0.0242</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03014</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>0.0252</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02819</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58225</MJD>
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<dataEOP><pole type="prediction"><X>0.0263</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02629</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58226</MJD>
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<dataEOP><pole type="prediction"><X>0.0274</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02448</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58227</MJD>
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<dataEOP><pole type="prediction"><X>0.0285</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02282</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58228</MJD>
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<dataEOP><pole type="prediction"><X>0.0296</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02129</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58229</MJD>
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<dataEOP><pole type="prediction"><X>0.0308</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01982</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>0.0319</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01832</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58231</MJD>
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<dataEOP><pole type="prediction"><X>0.0331</X>
<Y>0.4333</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01679</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58232</MJD>
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<dataEOP><pole type="prediction"><X>0.0343</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01517</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58233</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0356</X>
<Y>0.4355</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01339</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58234</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0368</X>
<Y>0.4366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01142</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
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