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<date>2016-12-01</date>
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<number>346</number>
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<sigma_X>0.037</sigma_X>
<Y>294.748</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-310.7499</UT1-UTC>
<sigma_UT1-UTC>0.0056</sigma_UT1-UTC>
<LOD>1.4213</LOD>
<sigma_LOD>0.0202</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-103.762</dPsi>
<sigma_dPsi>0.078</sigma_dPsi>
<dEpsilon>-12.024</dEpsilon>
<sigma_dEpsilon>0.027</sigma_dEpsilon>
<dX>0.105</dX>
<sigma_dX>0.031</sigma_dX>
<dY>-0.028</dY>
<sigma_dY>0.027</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>57685</MJD>
</time>
<dataEOP><pole type="final"><X>201.485</X>
<sigma_X>0.035</sigma_X>
<Y>293.563</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-312.1853</UT1-UTC>
<sigma_UT1-UTC>0.0057</sigma_UT1-UTC>
<LOD>1.4284</LOD>
<sigma_LOD>0.0195</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-103.829</dPsi>
<sigma_dPsi>0.075</sigma_dPsi>
<dEpsilon>-12.345</dEpsilon>
<sigma_dEpsilon>0.025</sigma_dEpsilon>
<dX>0.020</dX>
<sigma_dX>0.030</sigma_dX>
<dY>-0.328</dY>
<sigma_dY>0.025</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>57686</MJD>
</time>
<dataEOP><pole type="final"><X>199.996</X>
<sigma_X>0.035</sigma_X>
<Y>291.844</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-313.6034</UT1-UTC>
<sigma_UT1-UTC>0.0057</sigma_UT1-UTC>
<LOD>1.4675</LOD>
<sigma_LOD>0.0197</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-103.541</dPsi>
<sigma_dPsi>0.075</sigma_dPsi>
<dEpsilon>-12.020</dEpsilon>
<sigma_dEpsilon>0.025</sigma_dEpsilon>
<dX>0.098</dX>
<sigma_dX>0.030</sigma_dX>
<dY>-0.100</dY>
<sigma_dY>0.025</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>57687</MJD>
</time>
<dataEOP><pole type="final"><X>198.817</X>
<sigma_X>0.036</sigma_X>
<Y>289.847</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-315.0837</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
<LOD>1.4806</LOD>
<sigma_LOD>0.0196</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-103.269</dPsi>
<sigma_dPsi>0.083</sigma_dPsi>
<dEpsilon>-11.830</dEpsilon>
<sigma_dEpsilon>0.031</sigma_dEpsilon>
<dX>0.130</dX>
<sigma_dX>0.033</sigma_dX>
<dY>-0.032</dY>
<sigma_dY>0.031</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>57688</MJD>
</time>
<dataEOP><pole type="final"><X>197.049</X>
<sigma_X>0.036</sigma_X>
<Y>288.207</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-316.5577</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
<LOD>1.4575</LOD>
<sigma_LOD>0.0197</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-103.004</dPsi>
<sigma_dPsi>0.085</sigma_dPsi>
<dEpsilon>-11.694</dEpsilon>
<sigma_dEpsilon>0.032</sigma_dEpsilon>
<dX>0.134</dX>
<sigma_dX>0.034</sigma_dX>
<dY>-0.039</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>57689</MJD>
</time>
<dataEOP><pole type="final"><X>194.877</X>
<sigma_X>0.037</sigma_X>
<Y>286.749</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-318.0238</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
<LOD>1.4750</LOD>
<sigma_LOD>0.0199</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-102.815</dPsi>
<sigma_dPsi>0.085</sigma_dPsi>
<dEpsilon>-11.485</dEpsilon>
<sigma_dEpsilon>0.032</sigma_dEpsilon>
<dX>0.137</dX>
<sigma_dX>0.034</sigma_dX>
<dY>-0.046</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>57690</MJD>
</time>
<dataEOP><pole type="final"><X>192.868</X>
<sigma_X>0.037</sigma_X>
<Y>285.462</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-319.5011</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
<LOD>1.4976</LOD>
<sigma_LOD>0.0200</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-102.745</dPsi>
<sigma_dPsi>0.088</sigma_dPsi>
<dEpsilon>-11.232</dEpsilon>
<sigma_dEpsilon>0.033</sigma_dEpsilon>
<dX>0.141</dX>
<sigma_dX>0.035</sigma_dX>
<dY>-0.053</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>57691</MJD>
</time>
<dataEOP><pole type="final"><X>191.533</X>
<sigma_X>0.038</sigma_X>
<Y>284.560</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-320.9768</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
<LOD>1.4901</LOD>
<sigma_LOD>0.0202</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-102.729</dPsi>
<sigma_dPsi>0.088</sigma_dPsi>
<dEpsilon>-11.061</dEpsilon>
<sigma_dEpsilon>0.033</sigma_dEpsilon>
<dX>0.144</dX>
<sigma_dX>0.035</sigma_dX>
<dY>-0.060</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>57692</MJD>
</time>
<dataEOP><pole type="final"><X>190.141</X>
<sigma_X>0.036</sigma_X>
<Y>283.654</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-322.4586</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
<LOD>1.3961</LOD>
<sigma_LOD>0.0198</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-102.650</dPsi>
<sigma_dPsi>0.090</sigma_dPsi>
<dEpsilon>-11.069</dEpsilon>
<sigma_dEpsilon>0.031</sigma_dEpsilon>
<dX>0.147</dX>
<sigma_dX>0.036</sigma_dX>
<dY>-0.073</dY>
<sigma_dY>0.031</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>1</dateDay>
<MJD>57693</MJD>
</time>
<dataEOP><pole type="final"><X>188.741</X>
<sigma_X>0.036</sigma_X>
<Y>282.469</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-323.8253</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
<LOD>1.3523</LOD>
<sigma_LOD>0.0200</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-102.422</dPsi>
<sigma_dPsi>0.093</sigma_dPsi>
<dEpsilon>-11.189</dEpsilon>
<sigma_dEpsilon>0.032</sigma_dEpsilon>
<dX>0.151</dX>
<sigma_dX>0.037</sigma_dX>
<dY>-0.080</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>2</dateDay>
<MJD>57694</MJD>
</time>
<dataEOP><pole type="prediction"><X>187.251</X>
<sigma_X>0.036</sigma_X>
<Y>281.561</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-325.1438</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.162</dX>
<sigma_dX>0.037</sigma_dX>
<dY>-0.136</dY>
<sigma_dY>0.031</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>3</dateDay>
<MJD>57695</MJD>
</time>
<dataEOP><pole type="prediction"><X>185.888</X>
<sigma_X>0.037</sigma_X>
<Y>280.438</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-326.4000</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.184</dX>
<sigma_dX>0.038</sigma_dX>
<dY>-0.213</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>4</dateDay>
<MJD>57696</MJD>
</time>
<dataEOP><pole type="prediction"><X>185.057</X>
<sigma_X>0.037</sigma_X>
<Y>279.384</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-327.6237</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.206</dX>
<sigma_dX>0.038</sigma_dX>
<dY>-0.290</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>5</dateDay>
<MJD>57697</MJD>
</time>
<dataEOP><pole type="prediction"><X>183.910</X>
<sigma_X>0.037</sigma_X>
<Y>278.993</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-328.8929</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.228</dX>
<sigma_dX>0.039</sigma_dX>
<dY>-0.367</dY>
<sigma_dY>0.034</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>6</dateDay>
<MJD>57698</MJD>
</time>
<dataEOP><pole type="prediction"><X>182.076</X>
<sigma_X>0.038</sigma_X>
<Y>278.910</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-330.2459</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.250</dX>
<sigma_dX>0.039</sigma_dX>
<dY>-0.444</dY>
<sigma_dY>0.035</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>7</dateDay>
<MJD>57699</MJD>
</time>
<dataEOP><pole type="prediction"><X>179.462</X>
<sigma_X>0.039</sigma_X>
<Y>278.804</Y>
<sigma_Y>0.032</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-331.7085</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.272</dX>
<sigma_dX>0.040</sigma_dX>
<dY>-0.522</dY>
<sigma_dY>0.035</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>8</dateDay>
<MJD>57700</MJD>
</time>
<dataEOP><pole type="prediction"><X>176.446</X>
<sigma_X>0.039</sigma_X>
<Y>278.331</Y>
<sigma_Y>0.032</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-333.2826</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.022</dX>
<sigma_dX>0.040</sigma_dX>
<dY>-0.302</dY>
<sigma_dY>0.036</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>9</dateDay>
<MJD>57701</MJD>
</time>
<dataEOP><pole type="prediction"><X>173.556</X>
<sigma_X>0.040</sigma_X>
<Y>277.698</Y>
<sigma_Y>0.033</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-335.0126</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.034</dX>
<sigma_dX>0.041</sigma_dX>
<dY>-0.238</dY>
<sigma_dY>0.037</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>57702</MJD>
</time>
<dataEOP><pole type="prediction"><X>171.309</X>
<sigma_X>0.041</sigma_X>
<Y>277.033</Y>
<sigma_Y>0.034</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-336.9115</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.022</dX>
<sigma_dX>0.042</sigma_dX>
<dY>-0.232</dY>
<sigma_dY>0.038</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>57703</MJD>
</time>
<dataEOP><pole type="prediction"><X>169.402</X>
<sigma_X>0.042</sigma_X>
<Y>276.439</Y>
<sigma_Y>0.035</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-338.9569</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.010</dX>
<sigma_dX>0.042</sigma_dX>
<dY>-0.226</dY>
<sigma_dY>0.038</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>57704</MJD>
</time>
<dataEOP><pole type="prediction"><X>167.427</X>
<sigma_X>0.043</sigma_X>
<Y>275.395</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-341.1203</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.002</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.220</dY>
<sigma_dY>0.039</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>57705</MJD>
</time>
<dataEOP><pole type="prediction"><X>165.551</X>
<sigma_X>0.045</sigma_X>
<Y>274.290</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-343.2569</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.014</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.213</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>57706</MJD>
</time>
<dataEOP><pole type="prediction"><X>163.597</X>
<sigma_X>0.047</sigma_X>
<Y>273.348</Y>
<sigma_Y>0.039</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-345.2749</UT1-UTC>
<sigma_UT1-UTC>0.0062</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.026</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.207</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>57707</MJD>
</time>
<dataEOP><pole type="prediction"><X>161.311</X>
<sigma_X>0.048</sigma_X>
<Y>272.256</Y>
<sigma_Y>0.041</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-347.1170</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.038</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.201</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>57708</MJD>
</time>
<dataEOP><pole type="prediction"><X>158.945</X>
<sigma_X>0.050</sigma_X>
<Y>271.433</Y>
<sigma_Y>0.042</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-348.7069</UT1-UTC>
<sigma_UT1-UTC>0.0065</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.045</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.043</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>57709</MJD>
</time>
<dataEOP><pole type="prediction"><X>156.681</X>
<sigma_X>0.052</sigma_X>
<Y>270.812</Y>
<sigma_Y>0.044</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-350.0784</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.046</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.044</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>57710</MJD>
</time>
<dataEOP><pole type="prediction"><X>155.001</X>
<sigma_X>0.054</sigma_X>
<Y>270.444</Y>
<sigma_Y>0.046</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-351.3680</UT1-UTC>
<sigma_UT1-UTC>0.0068</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.047</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.045</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>57711</MJD>
</time>
<dataEOP><pole type="prediction"><X>153.330</X>
<sigma_X>0.056</sigma_X>
<Y>270.290</Y>
<sigma_Y>0.048</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-352.6356</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.048</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.047</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>57712</MJD>
</time>
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<Y>270.059</Y>
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<UT type="prediction"><UT1-UTC>-353.9669</UT1-UTC>
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<nutation type="prediction"><dX>-0.020</dX>
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<sigma_dY>0.048</sigma_dY>
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<dateDay>21</dateDay>
<MJD>57713</MJD>
</time>
<dataEOP><pole type="prediction"><X>148.341</X>
<sigma_X>0.061</sigma_X>
<Y>269.531</Y>
<sigma_Y>0.052</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-355.3429</UT1-UTC>
<sigma_UT1-UTC>0.0072</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.049</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.048</sigma_dY>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>57714</MJD>
</time>
<dataEOP><pole type="prediction"><X>145.984</X>
<sigma_X>0.063</sigma_X>
<Y>268.993</Y>
<sigma_Y>0.055</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-356.8074</UT1-UTC>
<sigma_UT1-UTC>0.0073</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.050</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.049</sigma_dY>
</nutation>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>57715</MJD>
</time>
<dataEOP><pole type="prediction"><X>144.043</X>
<sigma_X>0.065</sigma_X>
<Y>268.649</Y>
<sigma_Y>0.057</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-358.3383</UT1-UTC>
<sigma_UT1-UTC>0.0075</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.050</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>24</dateDay>
<MJD>57716</MJD>
</time>
<dataEOP><pole type="prediction"><X>142.602</X>
<sigma_X>0.067</sigma_X>
<Y>268.333</Y>
<sigma_Y>0.059</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-359.9039</UT1-UTC>
<sigma_UT1-UTC>0.0076</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.051</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.051</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>57717</MJD>
</time>
<dataEOP><pole type="prediction"><X>141.335</X>
<sigma_X>0.069</sigma_X>
<Y>268.560</Y>
<sigma_Y>0.061</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-361.4942</UT1-UTC>
<sigma_UT1-UTC>0.0077</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.051</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.051</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>57718</MJD>
</time>
<dataEOP><pole type="prediction"><X>140.379</X>
<sigma_X>0.071</sigma_X>
<Y>268.526</Y>
<sigma_Y>0.063</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-363.0567</UT1-UTC>
<sigma_UT1-UTC>0.0078</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.051</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.052</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>57719</MJD>
</time>
<dataEOP><pole type="prediction"><X>139.144</X>
<sigma_X>0.073</sigma_X>
<Y>268.550</Y>
<sigma_Y>0.065</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-364.5370</UT1-UTC>
<sigma_UT1-UTC>0.0081</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.052</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>57720</MJD>
</time>
<dataEOP><pole type="prediction"><X>137.016</X>
<sigma_X>0.075</sigma_X>
<Y>268.753</Y>
<sigma_Y>0.067</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-365.9089</UT1-UTC>
<sigma_UT1-UTC>0.0084</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>57721</MJD>
</time>
<dataEOP><pole type="prediction"><X>134.454</X>
<sigma_X>0.077</sigma_X>
<Y>268.308</Y>
<sigma_Y>0.070</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-367.2129</UT1-UTC>
<sigma_UT1-UTC>0.0088</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>57722</MJD>
</time>
<dataEOP><pole type="prediction"><X>131.963</X>
<sigma_X>0.079</sigma_X>
<Y>267.945</Y>
<sigma_Y>0.072</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-368.4383</UT1-UTC>
<sigma_UT1-UTC>0.0091</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.053</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>1</dateDay>
<MJD>57723</MJD>
</time>
<dataEOP><pole type="prediction"><X>129.679</X>
<sigma_X>0.081</sigma_X>
<Y>267.654</Y>
<sigma_Y>0.075</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-369.6114</UT1-UTC>
<sigma_UT1-UTC>0.0095</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.053</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.054</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
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</EOP>