<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>Bulletin B</product>
<date>2016-11-07</date>
<volume>new</volume>
<number>345</number>
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<sigma_X>0.034</sigma_X>
<Y>348.962</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-269.1070</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
<LOD>1.0850</LOD>
<sigma_LOD>0.0153</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-106.894</dPsi>
<sigma_dPsi>0.118</sigma_dPsi>
<dEpsilon>-12.690</dEpsilon>
<sigma_dEpsilon>0.044</sigma_dEpsilon>
<dX>-0.061</dX>
<sigma_dX>0.047</sigma_dX>
<dY>-0.049</dY>
<sigma_dY>0.044</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>9</dateMonth>
<dateDay>24</dateDay>
<MJD>57655</MJD>
</time>
<dataEOP><pole type="final"><X>235.756</X>
<sigma_X>0.035</sigma_X>
<Y>346.910</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-270.1936</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
<LOD>1.0763</LOD>
<sigma_LOD>0.0151</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-106.638</dPsi>
<sigma_dPsi>0.121</sigma_dPsi>
<dEpsilon>-12.812</dEpsilon>
<sigma_dEpsilon>0.045</sigma_dEpsilon>
<dX>-0.018</dX>
<sigma_dX>0.048</sigma_dX>
<dY>-0.064</dY>
<sigma_dY>0.045</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>9</dateMonth>
<dateDay>25</dateDay>
<MJD>57656</MJD>
</time>
<dataEOP><pole type="final"><X>235.125</X>
<sigma_X>0.035</sigma_X>
<Y>344.548</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-271.2425</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
<LOD>1.1034</LOD>
<sigma_LOD>0.0148</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-106.393</dPsi>
<sigma_dPsi>0.121</sigma_dPsi>
<dEpsilon>-12.932</dEpsilon>
<sigma_dEpsilon>0.046</sigma_dEpsilon>
<dX>0.024</dX>
<sigma_dX>0.048</sigma_dX>
<dY>-0.080</dY>
<sigma_dY>0.046</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>9</dateMonth>
<dateDay>26</dateDay>
<MJD>57657</MJD>
</time>
<dataEOP><pole type="final"><X>234.841</X>
<sigma_X>0.033</sigma_X>
<Y>342.161</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-272.3752</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.1514</LOD>
<sigma_LOD>0.0197</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-106.072</dPsi>
<sigma_dPsi>0.101</sigma_dPsi>
<dEpsilon>-12.983</dEpsilon>
<sigma_dEpsilon>0.037</sigma_dEpsilon>
<dX>0.082</dX>
<sigma_dX>0.040</sigma_dX>
<dY>-0.091</dY>
<sigma_dY>0.037</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>9</dateMonth>
<dateDay>27</dateDay>
<MJD>57658</MJD>
</time>
<dataEOP><pole type="final"><X>234.186</X>
<sigma_X>0.033</sigma_X>
<Y>339.769</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-273.5790</UT1-UTC>
<sigma_UT1-UTC>0.0062</sigma_UT1-UTC>
<LOD>1.2251</LOD>
<sigma_LOD>0.0197</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.707</dPsi>
<sigma_dPsi>0.101</sigma_dPsi>
<dEpsilon>-12.970</dEpsilon>
<sigma_dEpsilon>0.038</sigma_dEpsilon>
<dX>0.122</dX>
<sigma_dX>0.040</sigma_dX>
<dY>-0.106</dY>
<sigma_dY>0.038</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>9</dateMonth>
<dateDay>28</dateDay>
<MJD>57659</MJD>
</time>
<dataEOP><pole type="final"><X>233.624</X>
<sigma_X>0.032</sigma_X>
<Y>336.981</Y>
<sigma_Y>0.027</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-274.8204</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
<LOD>1.2919</LOD>
<sigma_LOD>0.0191</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.403</dPsi>
<sigma_dPsi>0.103</sigma_dPsi>
<dEpsilon>-12.889</dEpsilon>
<sigma_dEpsilon>0.039</sigma_dEpsilon>
<dX>0.122</dX>
<sigma_dX>0.041</sigma_dX>
<dY>-0.114</dY>
<sigma_dY>0.039</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>9</dateMonth>
<dateDay>29</dateDay>
<MJD>57660</MJD>
</time>
<dataEOP><pole type="final"><X>233.922</X>
<sigma_X>0.032</sigma_X>
<Y>334.418</Y>
<sigma_Y>0.027</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-276.1489</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
<LOD>1.3810</LOD>
<sigma_LOD>0.0191</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.201</dPsi>
<sigma_dPsi>0.106</sigma_dPsi>
<dEpsilon>-12.726</dEpsilon>
<sigma_dEpsilon>0.040</sigma_dEpsilon>
<dX>0.112</dX>
<sigma_dX>0.042</sigma_dX>
<dY>-0.120</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>9</dateMonth>
<dateDay>30</dateDay>
<MJD>57661</MJD>
</time>
<dataEOP><pole type="final"><X>234.157</X>
<sigma_X>0.033</sigma_X>
<Y>332.598</Y>
<sigma_Y>0.027</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-277.5772</UT1-UTC>
<sigma_UT1-UTC>0.0065</sigma_UT1-UTC>
<LOD>1.4116</LOD>
<sigma_LOD>0.0191</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.126</dPsi>
<sigma_dPsi>0.108</sigma_dPsi>
<dEpsilon>-12.487</dEpsilon>
<sigma_dEpsilon>0.041</sigma_dEpsilon>
<dX>0.102</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.126</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>1</dateDay>
<MJD>57662</MJD>
</time>
<dataEOP><pole type="final"><X>233.710</X>
<sigma_X>0.033</sigma_X>
<Y>331.033</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-278.9856</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
<LOD>1.3849</LOD>
<sigma_LOD>0.0191</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-105.159</dPsi>
<sigma_dPsi>0.108</sigma_dPsi>
<dEpsilon>-12.253</dEpsilon>
<sigma_dEpsilon>0.042</sigma_dEpsilon>
<dX>0.092</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.132</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>2</dateDay>
<MJD>57663</MJD>
</time>
<dataEOP><pole type="prediction"><X>232.703</X>
<sigma_X>0.033</sigma_X>
<Y>329.531</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-280.3453</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.081</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.138</dY>
<sigma_dY>0.043</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>3</dateDay>
<MJD>57664</MJD>
</time>
<dataEOP><pole type="prediction"><X>231.388</X>
<sigma_X>0.033</sigma_X>
<Y>327.920</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-281.6152</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.073</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.142</dY>
<sigma_dY>0.043</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>4</dateDay>
<MJD>57665</MJD>
</time>
<dataEOP><pole type="prediction"><X>229.633</X>
<sigma_X>0.033</sigma_X>
<Y>326.142</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-282.7883</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.062</dX>
<sigma_dX>0.044</sigma_dX>
<dY>-0.149</dY>
<sigma_dY>0.044</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>5</dateDay>
<MJD>57666</MJD>
</time>
<dataEOP><pole type="prediction"><X>227.445</X>
<sigma_X>0.032</sigma_X>
<Y>324.728</Y>
<sigma_Y>0.027</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-283.9001</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.048</dX>
<sigma_dX>0.040</sigma_dX>
<dY>-0.158</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>6</dateDay>
<MJD>57667</MJD>
</time>
<dataEOP><pole type="prediction"><X>225.248</X>
<sigma_X>0.032</sigma_X>
<Y>322.950</Y>
<sigma_Y>0.027</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-284.9592</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.042</dX>
<sigma_dX>0.040</sigma_dX>
<dY>-0.118</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>7</dateDay>
<MJD>57668</MJD>
</time>
<dataEOP><pole type="prediction"><X>223.420</X>
<sigma_X>0.033</sigma_X>
<Y>321.404</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-285.9455</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.037</dX>
<sigma_dX>0.041</sigma_dX>
<dY>-0.065</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>8</dateDay>
<MJD>57669</MJD>
</time>
<dataEOP><pole type="prediction"><X>221.736</X>
<sigma_X>0.033</sigma_X>
<Y>319.559</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-286.9081</UT1-UTC>
<sigma_UT1-UTC>0.0065</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.059</dX>
<sigma_dX>0.041</sigma_dX>
<dY>-0.055</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>9</dateDay>
<MJD>57670</MJD>
</time>
<dataEOP><pole type="prediction"><X>220.903</X>
<sigma_X>0.033</sigma_X>
<Y>317.727</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-287.8658</UT1-UTC>
<sigma_UT1-UTC>0.0065</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.090</dX>
<sigma_dX>0.042</sigma_dX>
<dY>-0.062</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>57671</MJD>
</time>
<dataEOP><pole type="prediction"><X>220.794</X>
<sigma_X>0.033</sigma_X>
<Y>315.972</Y>
<sigma_Y>0.028</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-288.9265</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.122</dX>
<sigma_dX>0.042</sigma_dX>
<dY>-0.069</dY>
<sigma_dY>0.043</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>57672</MJD>
</time>
<dataEOP><pole type="prediction"><X>220.785</X>
<sigma_X>0.034</sigma_X>
<Y>314.050</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-290.1500</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.153</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.076</dY>
<sigma_dY>0.044</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>57673</MJD>
</time>
<dataEOP><pole type="prediction"><X>220.489</X>
<sigma_X>0.034</sigma_X>
<Y>312.501</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-291.5687</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.185</dX>
<sigma_dX>0.043</sigma_dX>
<dY>-0.084</dY>
<sigma_dY>0.044</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>57674</MJD>
</time>
<dataEOP><pole type="prediction"><X>220.122</X>
<sigma_X>0.034</sigma_X>
<Y>311.200</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-293.1863</UT1-UTC>
<sigma_UT1-UTC>0.0068</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.044</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.045</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>57675</MJD>
</time>
<dataEOP><pole type="prediction"><X>219.089</X>
<sigma_X>0.034</sigma_X>
<Y>310.356</Y>
<sigma_Y>0.029</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-295.0273</UT1-UTC>
<sigma_UT1-UTC>0.0069</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.045</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.046</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>57676</MJD>
</time>
<dataEOP><pole type="prediction"><X>217.447</X>
<sigma_X>0.035</sigma_X>
<Y>309.278</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-297.0364</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.046</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.047</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>57677</MJD>
</time>
<dataEOP><pole type="prediction"><X>215.483</X>
<sigma_X>0.035</sigma_X>
<Y>307.914</Y>
<sigma_Y>0.030</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-299.1150</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.046</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.048</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>57678</MJD>
</time>
<dataEOP><pole type="prediction"><X>213.496</X>
<sigma_X>0.036</sigma_X>
<Y>306.162</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-301.1716</UT1-UTC>
<sigma_UT1-UTC>0.0071</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.047</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.049</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>57679</MJD>
</time>
<dataEOP><pole type="prediction"><X>211.721</X>
<sigma_X>0.037</sigma_X>
<Y>304.029</Y>
<sigma_Y>0.031</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-303.0953</UT1-UTC>
<sigma_UT1-UTC>0.0073</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.048</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.049</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>57680</MJD>
</time>
<dataEOP><pole type="prediction"><X>210.018</X>
<sigma_X>0.037</sigma_X>
<Y>302.122</Y>
<sigma_Y>0.032</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-304.8649</UT1-UTC>
<sigma_UT1-UTC>0.0074</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.048</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>57681</MJD>
</time>
<dataEOP><pole type="prediction"><X>208.054</X>
<sigma_X>0.038</sigma_X>
<Y>300.039</Y>
<sigma_Y>0.033</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-306.4777</UT1-UTC>
<sigma_UT1-UTC>0.0075</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.049</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>57682</MJD>
</time>
<dataEOP><pole type="prediction"><X>206.228</X>
<sigma_X>0.039</sigma_X>
<Y>298.135</Y>
<sigma_Y>0.034</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-307.9322</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-309.3350</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-310.7441</UT1-UTC>
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<Y>293.549</Y>
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<UT type="prediction"><UT1-UTC>-312.1730</UT1-UTC>
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<Y>291.876</Y>
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<UT type="prediction"><UT1-UTC>-313.6281</UT1-UTC>
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<Y>289.851</Y>
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<UT type="prediction"><UT1-UTC>-315.1029</UT1-UTC>
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<Y>288.229</Y>
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<UT type="prediction"><UT1-UTC>-316.5607</UT1-UTC>
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<Y>286.791</Y>
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<UT type="prediction"><UT1-UTC>-318.0235</UT1-UTC>
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<nutation type="prediction"><dX>-0.020</dX>
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<Y>285.516</Y>
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<UT type="prediction"><UT1-UTC>-319.5098</UT1-UTC>
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<dataEOP><pole type="prediction"><X>191.562</X>
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<Y>284.568</Y>
<sigma_Y>0.048</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-321.0004</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.053</sigma_dY>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57692</MJD>
</time>
<dataEOP><pole type="prediction"><X>190.201</X>
<sigma_X>0.056</sigma_X>
<Y>283.680</Y>
<sigma_Y>0.050</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-322.4585</UT1-UTC>
<sigma_UT1-UTC>0.0099</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>1</dateDay>
<MJD>57693</MJD>
</time>
<dataEOP><pole type="prediction"><X>188.724</X>
<sigma_X>0.058</sigma_X>
<Y>282.511</Y>
<sigma_Y>0.052</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-323.8439</UT1-UTC>
<sigma_UT1-UTC>0.0103</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.045</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
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