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<date>2017-04-01</date>
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<Y>310.953</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>524.7581</UT1-UTC>
<sigma_UT1-UTC>0.0219</sigma_UT1-UTC>
<LOD>0.9864</LOD>
<sigma_LOD>0.0026</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-99.463</dPsi>
<sigma_dPsi>0.088</sigma_dPsi>
<dEpsilon>-10.506</dEpsilon>
<sigma_dEpsilon>0.038</sigma_dEpsilon>
<dX>-0.026</dX>
<sigma_dX>0.035</sigma_dX>
<dY>-0.119</dY>
<sigma_dY>0.038</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>2</dateMonth>
<dateDay>24</dateDay>
<MJD>57808</MJD>
</time>
<dataEOP><pole type="final"><X>6.515</X>
<sigma_X>0.004</sigma_X>
<Y>313.422</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>523.6927</UT1-UTC>
<sigma_UT1-UTC>0.0216</sigma_UT1-UTC>
<LOD>1.0800</LOD>
<sigma_LOD>0.0026</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-99.277</dPsi>
<sigma_dPsi>0.090</sigma_dPsi>
<dEpsilon>-10.731</dEpsilon>
<sigma_dEpsilon>0.038</sigma_dEpsilon>
<dX>0.008</dX>
<sigma_dX>0.036</sigma_dX>
<dY>-0.120</dY>
<sigma_dY>0.038</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>2</dateMonth>
<dateDay>25</dateDay>
<MJD>57809</MJD>
</time>
<dataEOP><pole type="final"><X>6.367</X>
<sigma_X>0.004</sigma_X>
<Y>315.900</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>522.6260</UT1-UTC>
<sigma_UT1-UTC>0.0213</sigma_UT1-UTC>
<LOD>1.1591</LOD>
<sigma_LOD>0.0026</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-99.207</dPsi>
<sigma_dPsi>0.090</sigma_dPsi>
<dEpsilon>-10.909</dEpsilon>
<sigma_dEpsilon>0.039</sigma_dEpsilon>
<dX>-0.003</dX>
<sigma_dX>0.036</sigma_dX>
<dY>-0.135</dY>
<sigma_dY>0.039</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>2</dateMonth>
<dateDay>26</dateDay>
<MJD>57810</MJD>
</time>
<dataEOP><pole type="final"><X>5.895</X>
<sigma_X>0.004</sigma_X>
<Y>317.632</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>521.4088</UT1-UTC>
<sigma_UT1-UTC>0.0209</sigma_UT1-UTC>
<LOD>1.2693</LOD>
<sigma_LOD>0.0027</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-99.114</dPsi>
<sigma_dPsi>0.093</sigma_dPsi>
<dEpsilon>-10.910</dEpsilon>
<sigma_dEpsilon>0.039</sigma_dEpsilon>
<dX>-0.032</dX>
<sigma_dX>0.037</sigma_dX>
<dY>-0.157</dY>
<sigma_dY>0.039</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>2</dateMonth>
<dateDay>27</dateDay>
<MJD>57811</MJD>
</time>
<dataEOP><pole type="final"><X>5.044</X>
<sigma_X>0.004</sigma_X>
<Y>319.156</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>520.0438</UT1-UTC>
<sigma_UT1-UTC>0.0304</sigma_UT1-UTC>
<LOD>1.4088</LOD>
<sigma_LOD>0.0027</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-98.970</dPsi>
<sigma_dPsi>0.093</sigma_dPsi>
<dEpsilon>-10.754</dEpsilon>
<sigma_dEpsilon>0.040</sigma_dEpsilon>
<dX>-0.060</dX>
<sigma_dX>0.037</sigma_dX>
<dY>-0.178</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>2</dateMonth>
<dateDay>28</dateDay>
<MJD>57812</MJD>
</time>
<dataEOP><pole type="final"><X>4.485</X>
<sigma_X>0.004</sigma_X>
<Y>320.737</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>518.5813</UT1-UTC>
<sigma_UT1-UTC>0.0305</sigma_UT1-UTC>
<LOD>1.5357</LOD>
<sigma_LOD>0.0027</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-98.878</dPsi>
<sigma_dPsi>0.096</sigma_dPsi>
<dEpsilon>-10.610</dEpsilon>
<sigma_dEpsilon>0.041</sigma_dEpsilon>
<dX>-0.089</dX>
<sigma_dX>0.038</sigma_dX>
<dY>-0.199</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>1</dateDay>
<MJD>57813</MJD>
</time>
<dataEOP><pole type="final"><X>4.235</X>
<sigma_X>0.004</sigma_X>
<Y>322.740</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>516.9184</UT1-UTC>
<sigma_UT1-UTC>0.0236</sigma_UT1-UTC>
<LOD>1.6120</LOD>
<sigma_LOD>0.0027</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-98.824</dPsi>
<sigma_dPsi>0.098</sigma_dPsi>
<dEpsilon>-10.629</dEpsilon>
<sigma_dEpsilon>0.042</sigma_dEpsilon>
<dX>-0.078</dX>
<sigma_dX>0.039</sigma_dX>
<dY>-0.213</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>2</dateDay>
<MJD>57814</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.481</X>
<sigma_X>0.004</sigma_X>
<Y>324.503</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>515.2489</UT1-UTC>
<sigma_UT1-UTC>0.0233</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.057</dX>
<sigma_dX>0.040</sigma_dX>
<dY>-0.224</dY>
<sigma_dY>0.044</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>3</dateDay>
<MJD>57815</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.800</X>
<sigma_X>0.004</sigma_X>
<Y>326.371</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>513.7522</UT1-UTC>
<sigma_UT1-UTC>0.0228</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.036</dX>
<sigma_dX>0.041</sigma_dX>
<dY>-0.236</dY>
<sigma_dY>0.045</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>4</dateDay>
<MJD>57816</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.963</X>
<sigma_X>0.004</sigma_X>
<Y>328.363</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>512.3007</UT1-UTC>
<sigma_UT1-UTC>0.0223</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.044</dX>
<sigma_dX>0.042</sigma_dX>
<dY>-0.198</dY>
<sigma_dY>0.046</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>5</dateDay>
<MJD>57817</MJD>
</time>
<dataEOP><pole type="prediction"><X>5.082</X>
<sigma_X>0.004</sigma_X>
<Y>330.044</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>510.8756</UT1-UTC>
<sigma_UT1-UTC>0.0218</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.063</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.143</dY>
<sigma_dY>0.048</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>6</dateDay>
<MJD>57818</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.699</X>
<sigma_X>0.004</sigma_X>
<Y>331.866</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>509.5494</UT1-UTC>
<sigma_UT1-UTC>0.0211</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.082</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.087</dY>
<sigma_dY>0.049</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>7</dateDay>
<MJD>57819</MJD>
</time>
<dataEOP><pole type="prediction"><X>3.874</X>
<sigma_X>0.004</sigma_X>
<Y>333.519</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>508.2752</UT1-UTC>
<sigma_UT1-UTC>0.0205</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.101</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.032</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>8</dateDay>
<MJD>57820</MJD>
</time>
<dataEOP><pole type="prediction"><X>3.359</X>
<sigma_X>0.004</sigma_X>
<Y>334.981</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>507.0185</UT1-UTC>
<sigma_UT1-UTC>0.0198</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.146</dX>
<sigma_dX>0.045</sigma_dX>
<dY>-0.032</dY>
<sigma_dY>0.051</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>9</dateDay>
<MJD>57821</MJD>
</time>
<dataEOP><pole type="prediction"><X>3.580</X>
<sigma_X>0.004</sigma_X>
<Y>336.213</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>505.7215</UT1-UTC>
<sigma_UT1-UTC>0.0192</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.198</dX>
<sigma_dX>0.046</sigma_dX>
<dY>-0.048</dY>
<sigma_dY>0.052</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>10</dateDay>
<MJD>57822</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.072</X>
<sigma_X>0.004</sigma_X>
<Y>337.710</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>504.3333</UT1-UTC>
<sigma_UT1-UTC>0.0185</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.249</dX>
<sigma_dX>0.046</sigma_dX>
<dY>-0.063</dY>
<sigma_dY>0.052</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>11</dateDay>
<MJD>57823</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.594</X>
<sigma_X>0.004</sigma_X>
<Y>339.463</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>502.8884</UT1-UTC>
<sigma_UT1-UTC>0.0179</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.258</dX>
<sigma_dX>0.047</sigma_dX>
<dY>-0.065</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>12</dateDay>
<MJD>57824</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.677</X>
<sigma_X>0.005</sigma_X>
<Y>341.431</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>501.3443</UT1-UTC>
<sigma_UT1-UTC>0.0172</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.251</dX>
<sigma_dX>0.047</sigma_dX>
<dY>-0.062</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>13</dateDay>
<MJD>57825</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.443</X>
<sigma_X>0.005</sigma_X>
<Y>343.124</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>499.6876</UT1-UTC>
<sigma_UT1-UTC>0.0166</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.245</dX>
<sigma_dX>0.047</sigma_dX>
<dY>-0.058</dY>
<sigma_dY>0.054</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>14</dateDay>
<MJD>57826</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.144</X>
<sigma_X>0.005</sigma_X>
<Y>344.425</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>497.9896</UT1-UTC>
<sigma_UT1-UTC>0.0159</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.238</dX>
<sigma_dX>0.048</sigma_dX>
<dY>-0.055</dY>
<sigma_dY>0.054</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>15</dateDay>
<MJD>57827</MJD>
</time>
<dataEOP><pole type="prediction"><X>3.993</X>
<sigma_X>0.005</sigma_X>
<Y>345.893</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>496.2920</UT1-UTC>
<sigma_UT1-UTC>0.0163</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.021</dX>
<sigma_dX>0.049</sigma_dX>
<dY>0.047</dY>
<sigma_dY>0.055</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>16</dateDay>
<MJD>57828</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.030</X>
<sigma_X>0.005</sigma_X>
<Y>347.124</Y>
<sigma_Y>0.006</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>494.7446</UT1-UTC>
<sigma_UT1-UTC>0.0169</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.021</dX>
<sigma_dX>0.050</sigma_dX>
<dY>0.047</dY>
<sigma_dY>0.057</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>17</dateDay>
<MJD>57829</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.126</X>
<sigma_X>0.006</sigma_X>
<Y>348.878</Y>
<sigma_Y>0.006</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>493.3924</UT1-UTC>
<sigma_UT1-UTC>0.0176</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.021</dX>
<sigma_dX>0.051</sigma_dX>
<dY>0.047</dY>
<sigma_dY>0.058</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>18</dateDay>
<MJD>57830</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.494</X>
<sigma_X>0.006</sigma_X>
<Y>350.936</Y>
<sigma_Y>0.006</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>492.0845</UT1-UTC>
<sigma_UT1-UTC>0.0183</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.021</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.047</dY>
<sigma_dY>0.059</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>19</dateDay>
<MJD>57831</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.942</X>
<sigma_X>0.006</sigma_X>
<Y>353.171</Y>
<sigma_Y>0.006</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>490.8794</UT1-UTC>
<sigma_UT1-UTC>0.0190</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.021</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.047</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>20</dateDay>
<MJD>57832</MJD>
</time>
<dataEOP><pole type="prediction"><X>5.321</X>
<sigma_X>0.006</sigma_X>
<Y>355.636</Y>
<sigma_Y>0.007</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>489.7924</UT1-UTC>
<sigma_UT1-UTC>0.0197</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.021</dX>
<sigma_dX>0.053</sigma_dX>
<dY>0.047</dY>
<sigma_dY>0.061</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>21</dateDay>
<MJD>57833</MJD>
</time>
<dataEOP><pole type="prediction"><X>5.487</X>
<sigma_X>0.007</sigma_X>
<Y>358.023</Y>
<sigma_Y>0.007</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>488.6569</UT1-UTC>
<sigma_UT1-UTC>0.0206</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.021</dX>
<sigma_dX>0.054</sigma_dX>
<dY>0.047</dY>
<sigma_dY>0.061</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>22</dateDay>
<MJD>57834</MJD>
</time>
<dataEOP><pole type="prediction"><X>5.704</X>
<sigma_X>0.007</sigma_X>
<Y>360.213</Y>
<sigma_Y>0.007</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>487.4875</UT1-UTC>
<sigma_UT1-UTC>0.0214</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.021</dX>
<sigma_dX>0.054</sigma_dX>
<dY>0.047</dY>
<sigma_dY>0.062</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>23</dateDay>
<MJD>57835</MJD>
</time>
<dataEOP><pole type="prediction"><X>5.982</X>
<sigma_X>0.007</sigma_X>
<Y>362.519</Y>
<sigma_Y>0.008</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>486.2548</UT1-UTC>
<sigma_UT1-UTC>0.0223</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.021</dX>
<sigma_dX>0.055</sigma_dX>
<dY>0.047</dY>
<sigma_dY>0.063</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>3</dateMonth>
<dateDay>24</dateDay>
<MJD>57836</MJD>
</time>
<dataEOP><pole type="prediction"><X>5.519</X>
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<UT type="prediction"><UT1-UTC>472.1472</UT1-UTC>
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<UT type="prediction"><UT1-UTC>470.2772</UT1-UTC>
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