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<date>2016-08-01</date>
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<number>342</number>
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<Y>490.218</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-205.4330</UT1-UTC>
<sigma_UT1-UTC>0.0057</sigma_UT1-UTC>
<LOD>0.4073</LOD>
<sigma_LOD>0.0222</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-97.316</dPsi>
<sigma_dPsi>0.096</sigma_dPsi>
<dEpsilon>-13.069</dEpsilon>
<sigma_dEpsilon>0.035</sigma_dEpsilon>
<dX>0.121</dX>
<sigma_dX>0.038</sigma_dX>
<dY>0.192</dY>
<sigma_dY>0.035</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>6</dateMonth>
<dateDay>24</dateDay>
<MJD>57563</MJD>
</time>
<dataEOP><pole type="final"><X>138.723</X>
<sigma_X>0.039</sigma_X>
<Y>489.571</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-205.8968</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
<LOD>0.5431</LOD>
<sigma_LOD>0.0220</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-97.627</dPsi>
<sigma_dPsi>0.101</sigma_dPsi>
<dEpsilon>-13.076</dEpsilon>
<sigma_dEpsilon>0.037</sigma_dEpsilon>
<dX>0.107</dX>
<sigma_dX>0.040</sigma_dX>
<dY>0.177</dY>
<sigma_dY>0.037</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>6</dateMonth>
<dateDay>25</dateDay>
<MJD>57564</MJD>
</time>
<dataEOP><pole type="final"><X>140.680</X>
<sigma_X>0.039</sigma_X>
<Y>488.915</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-206.5243</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>0.7173</LOD>
<sigma_LOD>0.0217</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-97.868</dPsi>
<sigma_dPsi>0.101</sigma_dPsi>
<dEpsilon>-13.092</dEpsilon>
<sigma_dEpsilon>0.040</sigma_dEpsilon>
<dX>0.092</dX>
<sigma_dX>0.040</sigma_dX>
<dY>0.121</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>6</dateMonth>
<dateDay>26</dateDay>
<MJD>57565</MJD>
</time>
<dataEOP><pole type="final"><X>142.536</X>
<sigma_X>0.040</sigma_X>
<Y>488.733</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-207.3158</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
<LOD>0.8896</LOD>
<sigma_LOD>0.0214</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-97.856</dPsi>
<sigma_dPsi>0.098</sigma_dPsi>
<dEpsilon>-13.055</dEpsilon>
<sigma_dEpsilon>0.040</sigma_dEpsilon>
<dX>0.077</dX>
<sigma_dX>0.039</sigma_dX>
<dY>0.065</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>6</dateMonth>
<dateDay>27</dateDay>
<MJD>57566</MJD>
</time>
<dataEOP><pole type="final"><X>144.423</X>
<sigma_X>0.039</sigma_X>
<Y>488.176</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-208.3025</UT1-UTC>
<sigma_UT1-UTC>0.0065</sigma_UT1-UTC>
<LOD>1.0182</LOD>
<sigma_LOD>0.0207</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-97.637</dPsi>
<sigma_dPsi>0.088</sigma_dPsi>
<dEpsilon>-12.941</dEpsilon>
<sigma_dEpsilon>0.039</sigma_dEpsilon>
<dX>0.071</dX>
<sigma_dX>0.035</sigma_dX>
<dY>0.004</dY>
<sigma_dY>0.039</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>6</dateMonth>
<dateDay>28</dateDay>
<MJD>57567</MJD>
</time>
<dataEOP><pole type="final"><X>146.429</X>
<sigma_X>0.039</sigma_X>
<Y>487.234</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-209.3296</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
<LOD>1.1035</LOD>
<sigma_LOD>0.0205</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-97.540</dPsi>
<sigma_dPsi>0.078</sigma_dPsi>
<dEpsilon>-12.752</dEpsilon>
<sigma_dEpsilon>0.035</sigma_dEpsilon>
<dX>0.058</dX>
<sigma_dX>0.031</sigma_dX>
<dY>-0.053</dY>
<sigma_dY>0.035</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>6</dateMonth>
<dateDay>29</dateDay>
<MJD>57568</MJD>
</time>
<dataEOP><pole type="final"><X>148.617</X>
<sigma_X>0.039</sigma_X>
<Y>486.283</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-210.4126</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
<LOD>1.1016</LOD>
<sigma_LOD>0.0203</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-97.787</dPsi>
<sigma_dPsi>0.093</sigma_dPsi>
<dEpsilon>-12.555</dEpsilon>
<sigma_dEpsilon>0.044</sigma_dEpsilon>
<dX>0.051</dX>
<sigma_dX>0.037</sigma_dX>
<dY>-0.064</dY>
<sigma_dY>0.044</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>6</dateMonth>
<dateDay>30</dateDay>
<MJD>57569</MJD>
</time>
<dataEOP><pole type="final"><X>150.282</X>
<sigma_X>0.039</sigma_X>
<Y>485.394</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-211.4899</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
<LOD>1.0147</LOD>
<sigma_LOD>0.0201</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-98.405</dPsi>
<sigma_dPsi>0.085</sigma_dPsi>
<dEpsilon>-12.549</dEpsilon>
<sigma_dEpsilon>0.041</sigma_dEpsilon>
<dX>0.045</dX>
<sigma_dX>0.034</sigma_dX>
<dY>-0.063</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>1</dateDay>
<MJD>57570</MJD>
</time>
<dataEOP><pole type="final"><X>152.170</X>
<sigma_X>0.039</sigma_X>
<Y>483.898</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-212.4527</UT1-UTC>
<sigma_UT1-UTC>0.0068</sigma_UT1-UTC>
<LOD>0.9294</LOD>
<sigma_LOD>0.0201</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-99.177</dPsi>
<sigma_dPsi>0.080</sigma_dPsi>
<dEpsilon>-12.813</dEpsilon>
<sigma_dEpsilon>0.037</sigma_dEpsilon>
<dX>0.039</dX>
<sigma_dX>0.032</sigma_dX>
<dY>-0.061</dY>
<sigma_dY>0.037</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>2</dateDay>
<MJD>57571</MJD>
</time>
<dataEOP><pole type="prediction"><X>154.471</X>
<sigma_X>0.039</sigma_X>
<Y>482.588</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-213.3200</UT1-UTC>
<sigma_UT1-UTC>0.0068</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.033</dX>
<sigma_dX>0.029</sigma_dX>
<dY>-0.060</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>3</dateDay>
<MJD>57572</MJD>
</time>
<dataEOP><pole type="prediction"><X>156.598</X>
<sigma_X>0.039</sigma_X>
<Y>481.581</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-214.1277</UT1-UTC>
<sigma_UT1-UTC>0.0069</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.027</dX>
<sigma_dX>0.027</sigma_dX>
<dY>-0.059</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>4</dateDay>
<MJD>57573</MJD>
</time>
<dataEOP><pole type="prediction"><X>158.604</X>
<sigma_X>0.039</sigma_X>
<Y>480.593</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-214.7584</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.021</dX>
<sigma_dX>0.026</sigma_dX>
<dY>-0.058</dY>
<sigma_dY>0.028</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>5</dateDay>
<MJD>57574</MJD>
</time>
<dataEOP><pole type="prediction"><X>160.573</X>
<sigma_X>0.040</sigma_X>
<Y>479.568</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-215.3081</UT1-UTC>
<sigma_UT1-UTC>0.0069</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.015</dX>
<sigma_dX>0.025</sigma_dX>
<dY>-0.057</dY>
<sigma_dY>0.026</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>6</dateDay>
<MJD>57575</MJD>
</time>
<dataEOP><pole type="prediction"><X>162.499</X>
<sigma_X>0.041</sigma_X>
<Y>478.474</Y>
<sigma_Y>0.039</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-215.8614</UT1-UTC>
<sigma_UT1-UTC>0.0068</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.020</dX>
<sigma_dX>0.024</sigma_dX>
<dY>-0.055</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>7</dateDay>
<MJD>57576</MJD>
</time>
<dataEOP><pole type="prediction"><X>164.391</X>
<sigma_X>0.042</sigma_X>
<Y>477.342</Y>
<sigma_Y>0.041</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-216.3613</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.028</dX>
<sigma_dX>0.023</sigma_dX>
<dY>-0.052</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>8</dateDay>
<MJD>57577</MJD>
</time>
<dataEOP><pole type="prediction"><X>166.452</X>
<sigma_X>0.044</sigma_X>
<Y>476.330</Y>
<sigma_Y>0.043</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-216.9046</UT1-UTC>
<sigma_UT1-UTC>0.0065</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.036</dX>
<sigma_dX>0.023</sigma_dX>
<dY>-0.049</dY>
<sigma_dY>0.022</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>9</dateDay>
<MJD>57578</MJD>
</time>
<dataEOP><pole type="prediction"><X>168.603</X>
<sigma_X>0.047</sigma_X>
<Y>475.169</Y>
<sigma_Y>0.045</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-217.5159</UT1-UTC>
<sigma_UT1-UTC>0.0062</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.044</dX>
<sigma_dX>0.023</sigma_dX>
<dY>-0.046</dY>
<sigma_dY>0.022</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>10</dateDay>
<MJD>57579</MJD>
</time>
<dataEOP><pole type="prediction"><X>171.389</X>
<sigma_X>0.050</sigma_X>
<Y>473.686</Y>
<sigma_Y>0.048</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-218.1609</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.052</dX>
<sigma_dX>0.024</sigma_dX>
<dY>-0.043</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>11</dateDay>
<MJD>57580</MJD>
</time>
<dataEOP><pole type="prediction"><X>174.144</X>
<sigma_X>0.054</sigma_X>
<Y>472.342</Y>
<sigma_Y>0.053</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-218.6846</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.060</dX>
<sigma_dX>0.025</sigma_dX>
<dY>-0.039</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>12</dateDay>
<MJD>57581</MJD>
</time>
<dataEOP><pole type="prediction"><X>176.866</X>
<sigma_X>0.057</sigma_X>
<Y>471.146</Y>
<sigma_Y>0.058</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-219.1474</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.068</dX>
<sigma_dX>0.026</sigma_dX>
<dY>-0.036</dY>
<sigma_dY>0.025</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>13</dateDay>
<MJD>57582</MJD>
</time>
<dataEOP><pole type="prediction"><X>179.334</X>
<sigma_X>0.061</sigma_X>
<Y>470.268</Y>
<sigma_Y>0.064</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-219.5614</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.028</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.027</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>14</dateDay>
<MJD>57583</MJD>
</time>
<dataEOP><pole type="prediction"><X>181.044</X>
<sigma_X>0.064</sigma_X>
<Y>469.238</Y>
<sigma_Y>0.070</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-219.8829</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.030</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.029</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>15</dateDay>
<MJD>57584</MJD>
</time>
<dataEOP><pole type="prediction"><X>182.806</X>
<sigma_X>0.066</sigma_X>
<Y>468.103</Y>
<sigma_Y>0.075</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-220.0479</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.033</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>16</dateDay>
<MJD>57585</MJD>
</time>
<dataEOP><pole type="prediction"><X>184.920</X>
<sigma_X>0.068</sigma_X>
<Y>466.784</Y>
<sigma_Y>0.080</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-220.0626</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.036</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.035</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>17</dateDay>
<MJD>57586</MJD>
</time>
<dataEOP><pole type="prediction"><X>187.163</X>
<sigma_X>0.070</sigma_X>
<Y>465.531</Y>
<sigma_Y>0.082</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-220.0425</UT1-UTC>
<sigma_UT1-UTC>0.0071</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.038</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.038</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>18</dateDay>
<MJD>57587</MJD>
</time>
<dataEOP><pole type="prediction"><X>189.645</X>
<sigma_X>0.071</sigma_X>
<Y>464.303</Y>
<sigma_Y>0.083</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-220.0347</UT1-UTC>
<sigma_UT1-UTC>0.0076</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.041</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>19</dateDay>
<MJD>57588</MJD>
</time>
<dataEOP><pole type="prediction"><X>192.212</X>
<sigma_X>0.073</sigma_X>
<Y>463.116</Y>
<sigma_Y>0.083</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-220.0282</UT1-UTC>
<sigma_UT1-UTC>0.0079</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.043</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.043</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>20</dateDay>
<MJD>57589</MJD>
</time>
<dataEOP><pole type="prediction"><X>194.402</X>
<sigma_X>0.074</sigma_X>
<Y>461.963</Y>
<sigma_Y>0.082</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-220.0783</UT1-UTC>
<sigma_UT1-UTC>0.0081</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.045</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.045</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>7</dateMonth>
<dateDay>21</dateDay>
<MJD>57590</MJD>
</time>
<dataEOP><pole type="prediction"><X>196.221</X>
<sigma_X>0.076</sigma_X>
<Y>460.951</Y>
<sigma_Y>0.082</sigma_Y>
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<UT type="prediction"><UT1-UTC>-220.2601</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-223.7446</UT1-UTC>
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<Y>453.053</Y>
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<UT type="prediction"><UT1-UTC>-224.1265</UT1-UTC>
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<Y>451.675</Y>
<sigma_Y>999.000</sigma_Y>
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<UT type="prediction"><UT1-UTC>-224.5390</UT1-UTC>
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<nutation type="prediction"><dX>0.008</dX>
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<dataEOP><pole type="prediction"><X>213.187</X>
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<Y>450.271</Y>
<sigma_Y>999.000</sigma_Y>
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<UT type="prediction"><UT1-UTC>-224.9648</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>0.008</dX>
<sigma_dX>999.000</sigma_dX>
<dY>-0.001</dY>
<sigma_dY>999.000</sigma_dY>
</nutation>
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<timeSeries><time><dateYear>2016</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>214.687</X>
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<Y>448.956</Y>
<sigma_Y>999.000</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-225.4288</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>0.008</dX>
<sigma_dX>999.000</sigma_dX>
<dY>-0.001</dY>
<sigma_dY>999.000</sigma_dY>
</nutation>
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