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<date>2019-05-03</date>
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<number>375</number>
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<sigma_X>0.043</sigma_X>
<Y>373.068</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-110.6258</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.5653</LOD>
<sigma_LOD>0.0102</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-104.810</dPsi>
<sigma_dPsi>0.085</sigma_dPsi>
<dEpsilon>-10.442</dEpsilon>
<sigma_dEpsilon>0.042</sigma_dEpsilon>
<dX>0.180</dX>
<sigma_dX>0.034</sigma_dX>
<dY>-0.307</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>3</dateMonth>
<dateDay>24</dateDay>
<MJD>58566</MJD>
</time>
<dataEOP><pole type="final"><X>45.338</X>
<sigma_X>0.042</sigma_X>
<Y>374.413</Y>
<sigma_Y>0.029</sigma_Y>
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<UT type="final"><UT1-UTC>-112.1099</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.3725</LOD>
<sigma_LOD>0.0098</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.091</dPsi>
<sigma_dPsi>0.078</sigma_dPsi>
<dEpsilon>-10.260</dEpsilon>
<sigma_dEpsilon>0.040</sigma_dEpsilon>
<dX>0.182</dX>
<sigma_dX>0.031</sigma_dX>
<dY>-0.249</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>3</dateMonth>
<dateDay>25</dateDay>
<MJD>58567</MJD>
</time>
<dataEOP><pole type="final"><X>45.853</X>
<sigma_X>0.042</sigma_X>
<Y>375.852</Y>
<sigma_Y>0.029</sigma_Y>
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<UT type="final"><UT1-UTC>-113.3803</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.1490</LOD>
<sigma_LOD>0.0098</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.184</dPsi>
<sigma_dPsi>0.080</sigma_dPsi>
<dEpsilon>-10.152</dEpsilon>
<sigma_dEpsilon>0.040</sigma_dEpsilon>
<dX>0.184</dX>
<sigma_dX>0.032</sigma_dX>
<dY>-0.191</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>3</dateMonth>
<dateDay>26</dateDay>
<MJD>58568</MJD>
</time>
<dataEOP><pole type="final"><X>45.958</X>
<sigma_X>0.042</sigma_X>
<Y>377.264</Y>
<sigma_Y>0.029</sigma_Y>
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<UT type="final"><UT1-UTC>-114.4432</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>0.9524</LOD>
<sigma_LOD>0.0099</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.134</dPsi>
<sigma_dPsi>0.080</sigma_dPsi>
<dEpsilon>-10.274</dEpsilon>
<sigma_dEpsilon>0.040</sigma_dEpsilon>
<dX>0.187</dX>
<sigma_dX>0.032</sigma_dX>
<dY>-0.133</dY>
<sigma_dY>0.040</sigma_dY>
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</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>3</dateMonth>
<dateDay>27</dateDay>
<MJD>58569</MJD>
</time>
<dataEOP><pole type="final"><X>45.907</X>
<sigma_X>0.042</sigma_X>
<Y>378.440</Y>
<sigma_Y>0.029</sigma_Y>
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<UT type="final"><UT1-UTC>-115.3100</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>0.8164</LOD>
<sigma_LOD>0.0099</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.195</dPsi>
<sigma_dPsi>0.080</sigma_dPsi>
<dEpsilon>-10.640</dEpsilon>
<sigma_dEpsilon>0.041</sigma_dEpsilon>
<dX>0.171</dX>
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<dY>-0.158</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>3</dateMonth>
<dateDay>28</dateDay>
<MJD>58570</MJD>
</time>
<dataEOP><pole type="final"><X>46.153</X>
<sigma_X>0.042</sigma_X>
<Y>379.192</Y>
<sigma_Y>0.029</sigma_Y>
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<UT type="final"><UT1-UTC>-116.0936</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>0.7457</LOD>
<sigma_LOD>0.0099</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.410</dPsi>
<sigma_dPsi>0.080</sigma_dPsi>
<dEpsilon>-10.963</dEpsilon>
<sigma_dEpsilon>0.041</sigma_dEpsilon>
<dX>0.151</dX>
<sigma_dX>0.032</sigma_dX>
<dY>-0.204</dY>
<sigma_dY>0.041</sigma_dY>
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</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>3</dateMonth>
<dateDay>29</dateDay>
<MJD>58571</MJD>
</time>
<dataEOP><pole type="final"><X>46.503</X>
<sigma_X>0.042</sigma_X>
<Y>380.250</Y>
<sigma_Y>0.029</sigma_Y>
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<UT type="final"><UT1-UTC>-116.8173</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>0.6886</LOD>
<sigma_LOD>0.0099</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.551</dPsi>
<sigma_dPsi>0.083</sigma_dPsi>
<dEpsilon>-11.082</dEpsilon>
<sigma_dEpsilon>0.041</sigma_dEpsilon>
<dX>0.130</dX>
<sigma_dX>0.033</sigma_dX>
<dY>-0.250</dY>
<sigma_dY>0.041</sigma_dY>
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</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>3</dateMonth>
<dateDay>30</dateDay>
<MJD>58572</MJD>
</time>
<dataEOP><pole type="final"><X>47.079</X>
<sigma_X>0.042</sigma_X>
<Y>381.195</Y>
<sigma_Y>0.029</sigma_Y>
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<UT type="final"><UT1-UTC>-117.5423</UT1-UTC>
<sigma_UT1-UTC>0.0062</sigma_UT1-UTC>
<LOD>0.7400</LOD>
<sigma_LOD>0.0099</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.305</dPsi>
<sigma_dPsi>0.083</sigma_dPsi>
<dEpsilon>-11.000</dEpsilon>
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<dX>0.122</dX>
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<dY>-0.258</dY>
<sigma_dY>0.041</sigma_dY>
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</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>3</dateMonth>
<dateDay>31</dateDay>
<MJD>58573</MJD>
</time>
<dataEOP><pole type="final"><X>48.005</X>
<sigma_X>0.042</sigma_X>
<Y>382.668</Y>
<sigma_Y>0.029</sigma_Y>
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<UT type="final"><UT1-UTC>-118.3182</UT1-UTC>
<sigma_UT1-UTC>0.0062</sigma_UT1-UTC>
<LOD>0.8379</LOD>
<sigma_LOD>0.0100</sigma_LOD>
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<nutation type="final"><dPsi>-104.728</dPsi>
<sigma_dPsi>0.083</sigma_dPsi>
<dEpsilon>-10.855</dEpsilon>
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<dX>0.118</dX>
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<dY>-0.252</dY>
<sigma_dY>0.042</sigma_dY>
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</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>1</dateDay>
<MJD>58574</MJD>
</time>
<dataEOP><pole type="final"><X>48.775</X>
<sigma_X>0.042</sigma_X>
<Y>384.034</Y>
<sigma_Y>0.029</sigma_Y>
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<UT type="final"><UT1-UTC>-119.1811</UT1-UTC>
<sigma_UT1-UTC>0.0062</sigma_UT1-UTC>
<LOD>0.9286</LOD>
<sigma_LOD>0.0100</sigma_LOD>
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<nutation type="final"><dPsi>-104.170</dPsi>
<sigma_dPsi>0.085</sigma_dPsi>
<dEpsilon>-10.697</dEpsilon>
<sigma_dEpsilon>0.042</sigma_dEpsilon>
<dX>0.115</dX>
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<dY>-0.245</dY>
<sigma_dY>0.042</sigma_dY>
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</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>2</dateDay>
<MJD>58575</MJD>
</time>
<dataEOP><pole type="prediction"><X>49.820</X>
<sigma_X>0.042</sigma_X>
<Y>385.291</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-120.1630</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.111</dX>
<sigma_dX>0.034</sigma_dX>
<dY>-0.238</dY>
<sigma_dY>0.043</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>3</dateDay>
<MJD>58576</MJD>
</time>
<dataEOP><pole type="prediction"><X>50.541</X>
<sigma_X>0.042</sigma_X>
<Y>386.485</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-121.2447</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.120</dX>
<sigma_dX>0.035</sigma_dX>
<dY>-0.239</dY>
<sigma_dY>0.044</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>4</dateDay>
<MJD>58577</MJD>
</time>
<dataEOP><pole type="prediction"><X>51.099</X>
<sigma_X>0.042</sigma_X>
<Y>387.947</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-122.4717</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.132</dX>
<sigma_dX>0.035</sigma_dX>
<dY>-0.241</dY>
<sigma_dY>0.044</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>5</dateDay>
<MJD>58578</MJD>
</time>
<dataEOP><pole type="prediction"><X>51.292</X>
<sigma_X>0.042</sigma_X>
<Y>389.050</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-123.7663</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.144</dX>
<sigma_dX>0.035</sigma_dX>
<dY>-0.243</dY>
<sigma_dY>0.045</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>6</dateDay>
<MJD>58579</MJD>
</time>
<dataEOP><pole type="prediction"><X>51.627</X>
<sigma_X>0.042</sigma_X>
<Y>390.128</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-125.0297</UT1-UTC>
<sigma_UT1-UTC>0.0065</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.144</dX>
<sigma_dX>0.036</sigma_dX>
<dY>-0.242</dY>
<sigma_dY>0.047</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>7</dateDay>
<MJD>58580</MJD>
</time>
<dataEOP><pole type="prediction"><X>51.772</X>
<sigma_X>0.042</sigma_X>
<Y>391.338</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-126.3084</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.141</dX>
<sigma_dX>0.037</sigma_dX>
<dY>-0.240</dY>
<sigma_dY>0.048</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>8</dateDay>
<MJD>58581</MJD>
</time>
<dataEOP><pole type="prediction"><X>51.825</X>
<sigma_X>0.043</sigma_X>
<Y>392.356</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-127.5926</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.138</dX>
<sigma_dX>0.037</sigma_dX>
<dY>-0.238</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>9</dateDay>
<MJD>58582</MJD>
</time>
<dataEOP><pole type="prediction"><X>52.082</X>
<sigma_X>0.043</sigma_X>
<Y>393.300</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-128.7600</UT1-UTC>
<sigma_UT1-UTC>0.0068</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.135</dX>
<sigma_dX>0.038</sigma_dX>
<dY>-0.235</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>10</dateDay>
<MJD>58583</MJD>
</time>
<dataEOP><pole type="prediction"><X>52.510</X>
<sigma_X>0.043</sigma_X>
<Y>394.325</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-129.8085</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.142</dX>
<sigma_dX>0.039</sigma_dX>
<dY>-0.242</dY>
<sigma_dY>0.054</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>11</dateDay>
<MJD>58584</MJD>
</time>
<dataEOP><pole type="prediction"><X>53.097</X>
<sigma_X>0.043</sigma_X>
<Y>395.104</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-130.7300</UT1-UTC>
<sigma_UT1-UTC>0.0072</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.150</dX>
<sigma_dX>0.039</sigma_dX>
<dY>-0.250</dY>
<sigma_dY>0.056</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>12</dateDay>
<MJD>58585</MJD>
</time>
<dataEOP><pole type="prediction"><X>53.803</X>
<sigma_X>0.043</sigma_X>
<Y>396.170</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-131.4728</UT1-UTC>
<sigma_UT1-UTC>0.0073</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.159</dX>
<sigma_dX>0.040</sigma_dX>
<dY>-0.259</dY>
<sigma_dY>0.058</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>13</dateDay>
<MJD>58586</MJD>
</time>
<dataEOP><pole type="prediction"><X>54.644</X>
<sigma_X>0.044</sigma_X>
<Y>397.336</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-132.2043</UT1-UTC>
<sigma_UT1-UTC>0.0075</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.136</dX>
<sigma_dX>0.041</sigma_dX>
<dY>-0.258</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>14</dateDay>
<MJD>58587</MJD>
</time>
<dataEOP><pole type="prediction"><X>55.106</X>
<sigma_X>0.044</sigma_X>
<Y>398.264</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-133.0206</UT1-UTC>
<sigma_UT1-UTC>0.0077</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.102</dX>
<sigma_dX>0.041</sigma_dX>
<dY>-0.253</dY>
<sigma_dY>0.061</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>15</dateDay>
<MJD>58588</MJD>
</time>
<dataEOP><pole type="prediction"><X>55.139</X>
<sigma_X>0.044</sigma_X>
<Y>399.075</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-134.0519</UT1-UTC>
<sigma_UT1-UTC>0.0079</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.067</dX>
<sigma_dX>0.042</sigma_dX>
<dY>-0.248</dY>
<sigma_dY>0.062</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>16</dateDay>
<MJD>58589</MJD>
</time>
<dataEOP><pole type="prediction"><X>55.819</X>
<sigma_X>0.045</sigma_X>
<Y>399.945</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-135.2709</UT1-UTC>
<sigma_UT1-UTC>0.0080</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.032</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.244</dY>
<sigma_dY>0.063</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>17</dateDay>
<MJD>58590</MJD>
</time>
<dataEOP><pole type="prediction"><X>56.656</X>
<sigma_X>0.045</sigma_X>
<Y>400.711</Y>
<sigma_Y>0.032</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-136.6286</UT1-UTC>
<sigma_UT1-UTC>0.0082</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.002</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.239</dY>
<sigma_dY>0.064</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>18</dateDay>
<MJD>58591</MJD>
</time>
<dataEOP><pole type="prediction"><X>57.801</X>
<sigma_X>0.046</sigma_X>
<Y>401.011</Y>
<sigma_Y>0.032</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-138.0791</UT1-UTC>
<sigma_UT1-UTC>0.0084</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.037</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.235</dY>
<sigma_dY>0.064</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>19</dateDay>
<MJD>58592</MJD>
</time>
<dataEOP><pole type="prediction"><X>58.563</X>
<sigma_X>0.047</sigma_X>
<Y>401.960</Y>
<sigma_Y>0.033</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-139.4881</UT1-UTC>
<sigma_UT1-UTC>0.0086</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.038</dX>
<sigma_dX>0.500</sigma_dX>
<dY>-0.266</dY>
<sigma_dY>0.500</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>4</dateMonth>
<dateDay>20</dateDay>
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<Y>411.434</Y>
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<UT type="prediction"><UT1-UTC>-148.5483</UT1-UTC>
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<dY>-0.228</dY>
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