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<UT type="prediction"><UT1-UTC>0.53752</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0211</X>
<Y>0.2995</Y>
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<UT type="prediction"><UT1-UTC>0.53432</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.53276</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0193</X>
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<UT type="prediction"><UT1-UTC>0.53128</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0184</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.52988</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0176</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.52856</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57804</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0167</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52733</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57805</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0159</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52616</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57806</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0152</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.52501</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57807</MJD>
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<dataEOP><pole type="prediction"><X>0.0144</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.52382</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0137</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.52254</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57809</MJD>
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<dataEOP><pole type="prediction"><X>0.0130</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.52113</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57810</MJD>
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<dataEOP><pole type="prediction"><X>0.0123</X>
<Y>0.3148</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51955</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57811</MJD>
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<dataEOP><pole type="prediction"><X>0.0117</X>
<Y>0.3163</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51779</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57812</MJD>
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<dataEOP><pole type="prediction"><X>0.0111</X>
<Y>0.3178</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51587</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57813</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0105</X>
<Y>0.3193</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51387</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57814</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0099</X>
<Y>0.3208</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51184</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57815</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0094</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50987</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>57816</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0089</X>
<Y>0.3239</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50801</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57817</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0084</X>
<Y>0.3254</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50628</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>57818</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0080</X>
<Y>0.3270</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50467</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57819</MJD>
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<dataEOP><pole type="prediction"><X>0.0076</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50314</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57820</MJD>
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<dataEOP><pole type="prediction"><X>0.0072</X>
<Y>0.3301</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50162</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>57821</MJD>
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<dataEOP><pole type="prediction"><X>0.0069</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50006</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>57822</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0066</X>
<Y>0.3332</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49843</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57823</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0063</X>
<Y>0.3348</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49670</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>57824</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0060</X>
<Y>0.3364</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49490</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>57825</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0058</X>
<Y>0.3379</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49306</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>57826</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0056</X>
<Y>0.3395</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49121</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>57827</MJD>
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<dataEOP><pole type="prediction"><X>0.0054</X>
<Y>0.3411</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48941</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>57828</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0053</X>
<Y>0.3427</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48768</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>57829</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0052</X>
<Y>0.3443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48604</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57830</MJD>
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<dataEOP><pole type="prediction"><X>0.0051</X>
<Y>0.3459</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48450</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57831</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0050</X>
<Y>0.3475</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48304</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>57832</MJD>
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<dataEOP><pole type="prediction"><X>0.0050</X>
<Y>0.3491</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48166</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57833</MJD>
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<dataEOP><pole type="prediction"><X>0.0050</X>
<Y>0.3507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48031</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57834</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0051</X>
<Y>0.3523</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47895</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57835</MJD>
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<dataEOP><pole type="prediction"><X>0.0052</X>
<Y>0.3540</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47754</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57836</MJD>
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<dataEOP><pole type="prediction"><X>0.0053</X>
<Y>0.3556</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47603</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>57837</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0054</X>
<Y>0.3572</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47437</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57838</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0056</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47254</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>57839</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47054</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>57840</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0060</X>
<Y>0.3620</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46840</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57841</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0062</X>
<Y>0.3636</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46620</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57842</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0065</X>
<Y>0.3652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46403</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57843</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0068</X>
<Y>0.3668</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46196</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>57844</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0071</X>
<Y>0.3683</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46005</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>57845</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0075</X>
<Y>0.3699</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45828</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57846</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0079</X>
<Y>0.3715</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45663</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>57847</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0083</X>
<Y>0.3731</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45503</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>57848</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0088</X>
<Y>0.3746</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45342</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>57849</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0093</X>
<Y>0.3762</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45177</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>57850</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0098</X>
<Y>0.3778</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45005</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>57851</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0103</X>
<Y>0.3793</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44826</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>57852</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0109</X>
<Y>0.3808</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44642</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>57853</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0115</X>
<Y>0.3824</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44456</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>57854</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0121</X>
<Y>0.3839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44274</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57855</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0128</X>
<Y>0.3854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44098</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>57856</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0134</X>
<Y>0.3869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43930</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>57857</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0142</X>
<Y>0.3884</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43773</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57858</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0149</X>
<Y>0.3899</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43626</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57859</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0156</X>
<Y>0.3914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43488</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57860</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0164</X>
<Y>0.3928</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43356</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.43227</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43096</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42957</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42808</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42645</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42464</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.42268</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42063</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41855</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41654</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41468</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41298</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41143</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40999</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40858</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40715</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40568</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40416</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40261</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40105</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39953</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39808</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39672</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39547</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39435</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39333</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39240</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39152</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39065</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38974</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38875</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38764</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38639</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38499</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38347</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38189</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38033</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37886</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37755</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37640</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37537</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37440</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37343</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0724</X>
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<UT type="prediction"><UT1-UTC>0.37242</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37137</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37029</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36922</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36817</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36720</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36632</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36555</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36490</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36436</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36391</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36352</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36315</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36276</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0958</X>
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<UT type="prediction"><UT1-UTC>0.36230</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0975</X>
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<UT type="prediction"><UT1-UTC>0.36173</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0993</X>
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<UT type="prediction"><UT1-UTC>0.33240</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33159</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33091</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33033</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32980</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32922</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32858</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32784</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32698</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32606</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32511</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1974</X>
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<UT type="prediction"><UT1-UTC>0.32426</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>0.32341</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32259</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1994</X>
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<UT type="prediction"><UT1-UTC>0.32189</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32127</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2007</X>
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<UT type="prediction"><UT1-UTC>0.32066</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2012</X>
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<UT type="prediction"><UT1-UTC>0.32007</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.31943</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.31864</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.31773</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.31660</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.31527</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.31378</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2046</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31213</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.31037</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2053</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30861</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.30694</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.30534</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.30378</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.30231</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.30085</UT1-UTC>
</UT>
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</pole>
<UT type="prediction"><UT1-UTC>0.29935</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29768</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29582</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29383</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.29180</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28983</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28792</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2072</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28613</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.28442</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2071</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28278</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2070</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28126</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2069</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27990</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2067</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27863</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.27743</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2063</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27627</UT1-UTC>
</UT>
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<dataEOP><pole type="prediction"><X>0.2061</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27506</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2058</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27375</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58029</MJD>
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<UT type="prediction"><UT1-UTC>0.27219</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.27051</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.26861</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2045</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26664</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26464</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58034</MJD>
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</pole>
<UT type="prediction"><UT1-UTC>0.26269</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.26090</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58036</MJD>
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<dataEOP><pole type="prediction"><X>0.2028</X>
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<UT type="prediction"><UT1-UTC>0.25927</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58037</MJD>
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<dataEOP><pole type="prediction"><X>0.2023</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25784</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58038</MJD>
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<dataEOP><pole type="prediction"><X>0.2018</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25640</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2013</X>
<Y>0.3383</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25498</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58040</MJD>
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<dataEOP><pole type="prediction"><X>0.2007</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25349</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2001</X>
<Y>0.3357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25196</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1995</X>
<Y>0.3343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25038</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1989</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24871</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1982</X>
<Y>0.3318</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24696</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1975</X>
<Y>0.3305</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24513</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1968</X>
<Y>0.3292</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24338</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.3279</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24178</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1953</X>
<Y>0.3267</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24028</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1945</X>
<Y>0.3255</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23889</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1937</X>
<Y>0.3242</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23757</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1929</X>
<Y>0.3230</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23645</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1921</X>
<Y>0.3218</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23533</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1912</X>
<Y>0.3206</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23418</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1903</X>
<Y>0.3195</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23299</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1894</X>
<Y>0.3183</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23163</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1885</X>
<Y>0.3172</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23010</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1875</X>
<Y>0.3160</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22839</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1866</X>
<Y>0.3149</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22654</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1856</X>
<Y>0.3138</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22455</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1846</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22246</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1836</X>
<Y>0.3117</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22051</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58062</MJD>
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<dataEOP><pole type="prediction"><X>0.1825</X>
<Y>0.3106</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21855</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1815</X>
<Y>0.3096</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21686</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1804</X>
<Y>0.3086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21524</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1793</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21368</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1782</X>
<Y>0.3066</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21206</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1770</X>
<Y>0.3056</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21039</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1759</X>
<Y>0.3047</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20861</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1747</X>
<Y>0.3037</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20673</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1735</X>
<Y>0.3028</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20474</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1724</X>
<Y>0.3019</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20273</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1711</X>
<Y>0.3011</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20066</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1699</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19864</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1687</X>
<Y>0.2994</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19674</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1674</X>
<Y>0.2985</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19507</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1662</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19349</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1649</X>
<Y>0.2970</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19193</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1636</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19055</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1623</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18909</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1610</X>
<Y>0.2947</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18776</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1597</X>
<Y>0.2940</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18643</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1583</X>
<Y>0.2934</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18502</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1570</X>
<Y>0.2927</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18350</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1556</X>
<Y>0.2921</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18185</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1543</X>
<Y>0.2915</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18000</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1529</X>
<Y>0.2909</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17803</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58087</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1515</X>
<Y>0.2903</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17602</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1501</X>
<Y>0.2897</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17399</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1487</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17194</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1473</X>
<Y>0.2887</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17013</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1459</X>
<Y>0.2882</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16838</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1445</X>
<Y>0.2877</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16667</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1431</X>
<Y>0.2873</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16496</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1416</X>
<Y>0.2869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16328</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1402</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16156</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58096</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1388</X>
<Y>0.2861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15974</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58097</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1373</X>
<Y>0.2858</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15788</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58098</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1359</X>
<Y>0.2854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15608</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58099</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1344</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>58100</MJD>
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