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<date>2016-03-01</date>
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<sigma_X>0.044</sigma_X>
<Y>288.842</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>40.0271</UT1-UTC>
<sigma_UT1-UTC>0.0056</sigma_UT1-UTC>
<LOD>1.5739</LOD>
<sigma_LOD>0.0176</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-94.283</dPsi>
<sigma_dPsi>0.038</sigma_dPsi>
<dEpsilon>-9.621</dEpsilon>
<sigma_dEpsilon>0.016</sigma_dEpsilon>
<dX>-0.133</dX>
<sigma_dX>0.015</sigma_dX>
<dY>-0.142</dY>
<sigma_dY>0.016</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>1</dateMonth>
<dateDay>24</dateDay>
<MJD>57411</MJD>
</time>
<dataEOP><pole type="final"><X>8.535</X>
<sigma_X>0.044</sigma_X>
<Y>289.373</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>38.4109</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
<LOD>1.6333</LOD>
<sigma_LOD>0.0179</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-94.131</dPsi>
<sigma_dPsi>0.035</sigma_dPsi>
<dEpsilon>-9.482</dEpsilon>
<sigma_dEpsilon>0.015</sigma_dEpsilon>
<dX>-0.121</dX>
<sigma_dX>0.014</sigma_dX>
<dY>-0.133</dY>
<sigma_dY>0.015</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>1</dateMonth>
<dateDay>25</dateDay>
<MJD>57412</MJD>
</time>
<dataEOP><pole type="final"><X>6.776</X>
<sigma_X>0.044</sigma_X>
<Y>289.830</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>36.8150</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
<LOD>1.6189</LOD>
<sigma_LOD>0.0182</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-94.064</dPsi>
<sigma_dPsi>0.033</sigma_dPsi>
<dEpsilon>-9.479</dEpsilon>
<sigma_dEpsilon>0.014</sigma_dEpsilon>
<dX>-0.108</dX>
<sigma_dX>0.013</sigma_dX>
<dY>-0.123</dY>
<sigma_dY>0.014</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>1</dateMonth>
<dateDay>26</dateDay>
<MJD>57413</MJD>
</time>
<dataEOP><pole type="final"><X>5.655</X>
<sigma_X>0.044</sigma_X>
<Y>290.528</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>35.2002</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.6109</LOD>
<sigma_LOD>0.0183</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.970</dPsi>
<sigma_dPsi>0.033</sigma_dPsi>
<dEpsilon>-9.625</dEpsilon>
<sigma_dEpsilon>0.013</sigma_dEpsilon>
<dX>-0.096</dX>
<sigma_dX>0.013</sigma_dX>
<dY>-0.113</dY>
<sigma_dY>0.013</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>1</dateMonth>
<dateDay>27</dateDay>
<MJD>57414</MJD>
</time>
<dataEOP><pole type="final"><X>4.681</X>
<sigma_X>0.044</sigma_X>
<Y>291.721</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>33.5813</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
<LOD>1.6106</LOD>
<sigma_LOD>0.0185</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.818</dPsi>
<sigma_dPsi>0.030</sigma_dPsi>
<dEpsilon>-9.821</dEpsilon>
<sigma_dEpsilon>0.013</sigma_dEpsilon>
<dX>-0.084</dX>
<sigma_dX>0.012</sigma_dX>
<dY>-0.104</dY>
<sigma_dY>0.013</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>1</dateMonth>
<dateDay>28</dateDay>
<MJD>57415</MJD>
</time>
<dataEOP><pole type="final"><X>3.499</X>
<sigma_X>0.043</sigma_X>
<Y>292.989</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>31.9957</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
<LOD>1.5500</LOD>
<sigma_LOD>0.0185</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.692</dPsi>
<sigma_dPsi>0.030</sigma_dPsi>
<dEpsilon>-9.982</dEpsilon>
<sigma_dEpsilon>0.013</sigma_dEpsilon>
<dX>-0.061</dX>
<sigma_dX>0.012</sigma_dX>
<dY>-0.115</dY>
<sigma_dY>0.013</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>1</dateMonth>
<dateDay>29</dateDay>
<MJD>57416</MJD>
</time>
<dataEOP><pole type="final"><X>2.324</X>
<sigma_X>0.043</sigma_X>
<Y>294.095</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>30.4551</UT1-UTC>
<sigma_UT1-UTC>0.0055</sigma_UT1-UTC>
<LOD>1.5289</LOD>
<sigma_LOD>0.0185</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.720</dPsi>
<sigma_dPsi>0.030</sigma_dPsi>
<dEpsilon>-10.071</dEpsilon>
<sigma_dEpsilon>0.013</sigma_dEpsilon>
<dX>-0.036</dX>
<sigma_dX>0.012</sigma_dX>
<dY>-0.132</dY>
<sigma_dY>0.013</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>1</dateMonth>
<dateDay>30</dateDay>
<MJD>57417</MJD>
</time>
<dataEOP><pole type="final"><X>0.874</X>
<sigma_X>0.043</sigma_X>
<Y>295.733</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>28.9368</UT1-UTC>
<sigma_UT1-UTC>0.0053</sigma_UT1-UTC>
<LOD>1.4463</LOD>
<sigma_LOD>0.0185</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.969</dPsi>
<sigma_dPsi>0.033</sigma_dPsi>
<dEpsilon>-10.109</dEpsilon>
<sigma_dEpsilon>0.013</sigma_dEpsilon>
<dX>-0.053</dX>
<sigma_dX>0.013</sigma_dX>
<dY>-0.123</dY>
<sigma_dY>0.013</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>1</dateMonth>
<dateDay>31</dateDay>
<MJD>57418</MJD>
</time>
<dataEOP><pole type="final"><X>-1.284</X>
<sigma_X>0.043</sigma_X>
<Y>297.548</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>27.5519</UT1-UTC>
<sigma_UT1-UTC>0.0050</sigma_UT1-UTC>
<LOD>1.3173</LOD>
<sigma_LOD>0.0186</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-94.256</dPsi>
<sigma_dPsi>0.033</sigma_dPsi>
<dEpsilon>-10.168</dEpsilon>
<sigma_dEpsilon>0.013</sigma_dEpsilon>
<dX>-0.087</dX>
<sigma_dX>0.013</sigma_dX>
<dY>-0.105</dY>
<sigma_dY>0.013</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>1</dateDay>
<MJD>57419</MJD>
</time>
<dataEOP><pole type="final"><X>-3.291</X>
<sigma_X>0.042</sigma_X>
<Y>299.534</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>26.2719</UT1-UTC>
<sigma_UT1-UTC>0.0049</sigma_UT1-UTC>
<LOD>1.2883</LOD>
<sigma_LOD>0.0187</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-94.486</dPsi>
<sigma_dPsi>0.033</sigma_dPsi>
<dEpsilon>-10.234</dEpsilon>
<sigma_dEpsilon>0.014</sigma_dEpsilon>
<dX>-0.120</dX>
<sigma_dX>0.013</sigma_dX>
<dY>-0.087</dY>
<sigma_dY>0.014</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>2</dateDay>
<MJD>57420</MJD>
</time>
<dataEOP><pole type="prediction"><X>-4.753</X>
<sigma_X>0.042</sigma_X>
<Y>301.346</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>24.9961</UT1-UTC>
<sigma_UT1-UTC>0.0048</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.154</dX>
<sigma_dX>0.014</sigma_dX>
<dY>-0.069</dY>
<sigma_dY>0.014</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>3</dateDay>
<MJD>57421</MJD>
</time>
<dataEOP><pole type="prediction"><X>-5.723</X>
<sigma_X>0.042</sigma_X>
<Y>302.645</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>23.8012</UT1-UTC>
<sigma_UT1-UTC>0.0048</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.163</dX>
<sigma_dX>0.015</sigma_dX>
<dY>-0.072</dY>
<sigma_dY>0.015</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>4</dateDay>
<MJD>57422</MJD>
</time>
<dataEOP><pole type="prediction"><X>-6.420</X>
<sigma_X>0.042</sigma_X>
<Y>304.502</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>22.6304</UT1-UTC>
<sigma_UT1-UTC>0.0048</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.165</dX>
<sigma_dX>0.016</sigma_dX>
<dY>-0.081</dY>
<sigma_dY>0.016</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>5</dateDay>
<MJD>57423</MJD>
</time>
<dataEOP><pole type="prediction"><X>-7.478</X>
<sigma_X>0.042</sigma_X>
<Y>306.462</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>21.4306</UT1-UTC>
<sigma_UT1-UTC>0.0049</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.167</dX>
<sigma_dX>0.017</sigma_dX>
<dY>-0.090</dY>
<sigma_dY>0.017</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>6</dateDay>
<MJD>57424</MJD>
</time>
<dataEOP><pole type="prediction"><X>-8.651</X>
<sigma_X>0.042</sigma_X>
<Y>308.139</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>20.1500</UT1-UTC>
<sigma_UT1-UTC>0.0051</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.170</dX>
<sigma_dX>0.018</sigma_dX>
<dY>-0.098</dY>
<sigma_dY>0.018</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>7</dateDay>
<MJD>57425</MJD>
</time>
<dataEOP><pole type="prediction"><X>-9.560</X>
<sigma_X>0.042</sigma_X>
<Y>309.793</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>18.7249</UT1-UTC>
<sigma_UT1-UTC>0.0052</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.172</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.107</dY>
<sigma_dY>0.019</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>8</dateDay>
<MJD>57426</MJD>
</time>
<dataEOP><pole type="prediction"><X>-9.606</X>
<sigma_X>0.043</sigma_X>
<Y>311.459</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>17.1282</UT1-UTC>
<sigma_UT1-UTC>0.0053</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.174</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.115</dY>
<sigma_dY>0.019</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>9</dateDay>
<MJD>57427</MJD>
</time>
<dataEOP><pole type="prediction"><X>-9.689</X>
<sigma_X>0.043</sigma_X>
<Y>313.153</Y>
<sigma_Y>0.039</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>15.3218</UT1-UTC>
<sigma_UT1-UTC>0.0054</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.177</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.123</dY>
<sigma_dY>0.019</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>10</dateDay>
<MJD>57428</MJD>
</time>
<dataEOP><pole type="prediction"><X>-9.854</X>
<sigma_X>0.044</sigma_X>
<Y>314.977</Y>
<sigma_Y>0.040</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>13.3089</UT1-UTC>
<sigma_UT1-UTC>0.0055</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.187</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.050</dY>
<sigma_dY>0.018</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>11</dateDay>
<MJD>57429</MJD>
</time>
<dataEOP><pole type="prediction"><X>-10.518</X>
<sigma_X>0.045</sigma_X>
<Y>317.105</Y>
<sigma_Y>0.041</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>11.2339</UT1-UTC>
<sigma_UT1-UTC>0.0056</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.192</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.030</dY>
<sigma_dY>0.018</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>12</dateDay>
<MJD>57430</MJD>
</time>
<dataEOP><pole type="prediction"><X>-11.209</X>
<sigma_X>0.047</sigma_X>
<Y>319.014</Y>
<sigma_Y>0.043</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>9.1438</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.195</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.034</dY>
<sigma_dY>0.018</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>13</dateDay>
<MJD>57431</MJD>
</time>
<dataEOP><pole type="prediction"><X>-11.877</X>
<sigma_X>0.049</sigma_X>
<Y>321.053</Y>
<sigma_Y>0.045</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>7.1359</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.199</dX>
<sigma_dX>0.020</sigma_dX>
<dY>-0.037</dY>
<sigma_dY>0.018</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>14</dateDay>
<MJD>57432</MJD>
</time>
<dataEOP><pole type="prediction"><X>-12.468</X>
<sigma_X>0.051</sigma_X>
<Y>323.300</Y>
<sigma_Y>0.049</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>5.2499</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.202</dX>
<sigma_dX>0.021</sigma_dX>
<dY>-0.040</dY>
<sigma_dY>0.019</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>15</dateDay>
<MJD>57433</MJD>
</time>
<dataEOP><pole type="prediction"><X>-13.053</X>
<sigma_X>0.053</sigma_X>
<Y>325.413</Y>
<sigma_Y>0.053</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>3.5055</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.206</dX>
<sigma_dX>0.022</sigma_dX>
<dY>-0.043</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>16</dateDay>
<MJD>57434</MJD>
</time>
<dataEOP><pole type="prediction"><X>-13.895</X>
<sigma_X>0.056</sigma_X>
<Y>327.117</Y>
<sigma_Y>0.058</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>1.9121</UT1-UTC>
<sigma_UT1-UTC>0.0065</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.209</dX>
<sigma_dX>0.024</sigma_dX>
<dY>-0.046</dY>
<sigma_dY>0.021</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>17</dateDay>
<MJD>57435</MJD>
</time>
<dataEOP><pole type="prediction"><X>-14.745</X>
<sigma_X>0.060</sigma_X>
<Y>328.517</Y>
<sigma_Y>0.063</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>0.4625</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.026</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>18</dateDay>
<MJD>57436</MJD>
</time>
<dataEOP><pole type="prediction"><X>-15.912</X>
<sigma_X>0.063</sigma_X>
<Y>330.467</Y>
<sigma_Y>0.069</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.8591</UT1-UTC>
<sigma_UT1-UTC>0.0071</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.029</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.026</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>19</dateDay>
<MJD>57437</MJD>
</time>
<dataEOP><pole type="prediction"><X>-17.337</X>
<sigma_X>0.067</sigma_X>
<Y>332.407</Y>
<sigma_Y>0.074</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-2.1139</UT1-UTC>
<sigma_UT1-UTC>0.0075</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.032</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.029</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>20</dateDay>
<MJD>57438</MJD>
</time>
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<Y>335.506</Y>
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<UT type="prediction"><UT1-UTC>-4.8801</UT1-UTC>
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<dataEOP><pole type="prediction"><X>-19.875</X>
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<Y>337.638</Y>
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<UT type="prediction"><UT1-UTC>-6.4290</UT1-UTC>
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<dataEOP><pole type="prediction"><X>-20.816</X>
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<Y>339.814</Y>
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<UT type="prediction"><UT1-UTC>-8.0872</UT1-UTC>
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<Y>342.007</Y>
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<UT type="prediction"><UT1-UTC>-9.8030</UT1-UTC>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>-21.902</X>
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<Y>344.424</Y>
<sigma_Y>0.082</sigma_Y>
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<UT type="prediction"><UT1-UTC>-11.5690</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.019</dX>
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<sigma_dY>0.052</sigma_dY>
</nutation>
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<timeSeries><time><dateYear>2016</dateYear>
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<dataEOP><pole type="prediction"><X>-22.019</X>
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<Y>346.369</Y>
<sigma_Y>0.081</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-13.4244</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.019</dX>
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<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>-22.339</X>
<sigma_X>0.098</sigma_X>
<Y>348.456</Y>
<sigma_Y>0.082</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-15.2258</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.019</dX>
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<dY>0.043</dY>
<sigma_dY>0.054</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>-23.204</X>
<sigma_X>0.101</sigma_X>
<Y>350.790</Y>
<sigma_Y>0.084</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-16.9942</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.019</dX>
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<dY>0.043</dY>
<sigma_dY>0.055</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
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<MJD>57447</MJD>
</time>
<dataEOP><pole type="prediction"><X>-24.151</X>
<sigma_X>0.104</sigma_X>
<Y>352.851</Y>
<sigma_Y>0.086</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-18.4931</UT1-UTC>
<sigma_UT1-UTC>0.0095</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.055</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.055</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>1</dateDay>
<MJD>57448</MJD>
</time>
<dataEOP><pole type="prediction"><X>-24.886</X>
<sigma_X>0.106</sigma_X>
<Y>354.507</Y>
<sigma_Y>0.090</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-20.1762</UT1-UTC>
<sigma_UT1-UTC>0.0098</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.055</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.055</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
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</EOP>