<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>Bulletin B</product>
<date>2016-06-01</date>
<volume>new</volume>
<number>340</number>
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<dataEOP><pole type="final"><X>24.089</X>
<sigma_X>0.042</sigma_X>
<Y>460.209</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-123.5851</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.6163</LOD>
<sigma_LOD>0.0197</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-92.295</dPsi>
<sigma_dPsi>0.068</sigma_dPsi>
<dEpsilon>-13.282</dEpsilon>
<sigma_dEpsilon>0.026</sigma_dEpsilon>
<dX>0.001</dX>
<sigma_dX>0.027</sigma_dX>
<dY>0.030</dY>
<sigma_dY>0.026</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>24</dateDay>
<MJD>57502</MJD>
</time>
<dataEOP><pole type="final"><X>25.818</X>
<sigma_X>0.042</sigma_X>
<Y>461.888</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-125.1294</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.4877</LOD>
<sigma_LOD>0.0196</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-92.361</dPsi>
<sigma_dPsi>0.070</sigma_dPsi>
<dEpsilon>-13.402</dEpsilon>
<sigma_dEpsilon>0.027</sigma_dEpsilon>
<dX>0.016</dX>
<sigma_dX>0.028</sigma_dX>
<dY>0.054</dY>
<sigma_dY>0.027</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>25</dateDay>
<MJD>57503</MJD>
</time>
<dataEOP><pole type="final"><X>27.086</X>
<sigma_X>0.041</sigma_X>
<Y>463.482</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-126.5293</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.3232</LOD>
<sigma_LOD>0.0195</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-92.453</dPsi>
<sigma_dPsi>0.073</sigma_dPsi>
<dEpsilon>-13.478</dEpsilon>
<sigma_dEpsilon>0.029</sigma_dEpsilon>
<dX>0.031</dX>
<sigma_dX>0.029</sigma_dX>
<dY>0.079</dY>
<sigma_dY>0.029</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>26</dateDay>
<MJD>57504</MJD>
</time>
<dataEOP><pole type="final"><X>28.079</X>
<sigma_X>0.041</sigma_X>
<Y>465.372</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-127.8089</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.2223</LOD>
<sigma_LOD>0.0195</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-92.617</dPsi>
<sigma_dPsi>0.075</sigma_dPsi>
<dEpsilon>-13.573</dEpsilon>
<sigma_dEpsilon>0.030</sigma_dEpsilon>
<dX>0.046</dX>
<sigma_dX>0.030</sigma_dX>
<dY>0.103</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>27</dateDay>
<MJD>57505</MJD>
</time>
<dataEOP><pole type="final"><X>28.863</X>
<sigma_X>0.041</sigma_X>
<Y>467.028</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-129.0299</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.2394</LOD>
<sigma_LOD>0.0195</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-92.768</dPsi>
<sigma_dPsi>0.078</sigma_dPsi>
<dEpsilon>-13.707</dEpsilon>
<sigma_dEpsilon>0.032</sigma_dEpsilon>
<dX>0.061</dX>
<sigma_dX>0.031</sigma_dX>
<dY>0.128</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>28</dateDay>
<MJD>57506</MJD>
</time>
<dataEOP><pole type="final"><X>29.725</X>
<sigma_X>0.041</sigma_X>
<Y>468.562</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-130.3050</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.3332</LOD>
<sigma_LOD>0.0195</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-92.652</dPsi>
<sigma_dPsi>0.080</sigma_dPsi>
<dEpsilon>-13.804</dEpsilon>
<sigma_dEpsilon>0.033</sigma_dEpsilon>
<dX>0.085</dX>
<sigma_dX>0.032</sigma_dX>
<dY>0.134</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>29</dateDay>
<MJD>57507</MJD>
</time>
<dataEOP><pole type="final"><X>30.554</X>
<sigma_X>0.041</sigma_X>
<Y>469.930</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-131.7090</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.4394</LOD>
<sigma_LOD>0.0195</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-92.143</dPsi>
<sigma_dPsi>0.080</sigma_dPsi>
<dEpsilon>-13.737</dEpsilon>
<sigma_dEpsilon>0.034</sigma_dEpsilon>
<dX>0.110</dX>
<sigma_dX>0.032</sigma_dX>
<dY>0.135</dY>
<sigma_dY>0.034</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>30</dateDay>
<MJD>57508</MJD>
</time>
<dataEOP><pole type="final"><X>32.131</X>
<sigma_X>0.041</sigma_X>
<Y>470.870</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-133.1836</UT1-UTC>
<sigma_UT1-UTC>0.0062</sigma_UT1-UTC>
<LOD>1.5623</LOD>
<sigma_LOD>0.0195</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-91.546</dPsi>
<sigma_dPsi>0.080</sigma_dPsi>
<dEpsilon>-13.537</dEpsilon>
<sigma_dEpsilon>0.034</sigma_dEpsilon>
<dX>0.100</dX>
<sigma_dX>0.032</sigma_dX>
<dY>0.133</dY>
<sigma_dY>0.034</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>1</dateDay>
<MJD>57509</MJD>
</time>
<dataEOP><pole type="final"><X>34.568</X>
<sigma_X>0.041</sigma_X>
<Y>472.256</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-134.8151</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
<LOD>1.7033</LOD>
<sigma_LOD>0.0195</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-91.235</dPsi>
<sigma_dPsi>0.080</sigma_dPsi>
<dEpsilon>-13.367</dEpsilon>
<sigma_dEpsilon>0.034</sigma_dEpsilon>
<dX>0.077</dX>
<sigma_dX>0.032</sigma_dX>
<dY>0.130</dY>
<sigma_dY>0.034</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>2</dateDay>
<MJD>57510</MJD>
</time>
<dataEOP><pole type="prediction"><X>36.707</X>
<sigma_X>0.042</sigma_X>
<Y>474.015</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-136.5777</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.055</dX>
<sigma_dX>0.031</sigma_dX>
<dY>0.127</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>3</dateDay>
<MJD>57511</MJD>
</time>
<dataEOP><pole type="prediction"><X>38.587</X>
<sigma_X>0.042</sigma_X>
<Y>475.556</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-138.5308</UT1-UTC>
<sigma_UT1-UTC>0.0069</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.032</dX>
<sigma_dX>0.029</sigma_dX>
<dY>0.123</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>4</dateDay>
<MJD>57512</MJD>
</time>
<dataEOP><pole type="prediction"><X>40.681</X>
<sigma_X>0.042</sigma_X>
<Y>476.856</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-140.6613</UT1-UTC>
<sigma_UT1-UTC>0.0073</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.009</dX>
<sigma_dX>0.028</sigma_dX>
<dY>0.120</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>5</dateDay>
<MJD>57513</MJD>
</time>
<dataEOP><pole type="prediction"><X>42.347</X>
<sigma_X>0.042</sigma_X>
<Y>478.017</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-142.8542</UT1-UTC>
<sigma_UT1-UTC>0.0075</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.021</dX>
<sigma_dX>0.027</sigma_dX>
<dY>0.121</dY>
<sigma_dY>0.031</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>6</dateDay>
<MJD>57514</MJD>
</time>
<dataEOP><pole type="prediction"><X>43.438</X>
<sigma_X>0.042</sigma_X>
<Y>479.090</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-144.9797</UT1-UTC>
<sigma_UT1-UTC>0.0078</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.041</dX>
<sigma_dX>0.026</sigma_dX>
<dY>0.123</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>7</dateDay>
<MJD>57515</MJD>
</time>
<dataEOP><pole type="prediction"><X>44.916</X>
<sigma_X>0.042</sigma_X>
<Y>480.209</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-147.0145</UT1-UTC>
<sigma_UT1-UTC>0.0080</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.061</dX>
<sigma_dX>0.026</sigma_dX>
<dY>0.125</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>8</dateDay>
<MJD>57516</MJD>
</time>
<dataEOP><pole type="prediction"><X>46.609</X>
<sigma_X>0.042</sigma_X>
<Y>481.539</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-148.8905</UT1-UTC>
<sigma_UT1-UTC>0.0081</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.082</dX>
<sigma_dX>0.027</sigma_dX>
<dY>0.128</dY>
<sigma_dY>0.031</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>9</dateDay>
<MJD>57517</MJD>
</time>
<dataEOP><pole type="prediction"><X>48.362</X>
<sigma_X>0.042</sigma_X>
<Y>482.852</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-150.5454</UT1-UTC>
<sigma_UT1-UTC>0.0082</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.102</dX>
<sigma_dX>0.028</sigma_dX>
<dY>0.130</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>10</dateDay>
<MJD>57518</MJD>
</time>
<dataEOP><pole type="prediction"><X>50.203</X>
<sigma_X>0.042</sigma_X>
<Y>484.146</Y>
<sigma_Y>0.039</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-152.0700</UT1-UTC>
<sigma_UT1-UTC>0.0083</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.123</dX>
<sigma_dX>0.029</sigma_dX>
<dY>0.132</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>11</dateDay>
<MJD>57519</MJD>
</time>
<dataEOP><pole type="prediction"><X>52.261</X>
<sigma_X>0.043</sigma_X>
<Y>485.291</Y>
<sigma_Y>0.039</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-153.4753</UT1-UTC>
<sigma_UT1-UTC>0.0084</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.030</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.034</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>12</dateDay>
<MJD>57520</MJD>
</time>
<dataEOP><pole type="prediction"><X>54.306</X>
<sigma_X>0.043</sigma_X>
<Y>486.379</Y>
<sigma_Y>0.041</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-154.8601</UT1-UTC>
<sigma_UT1-UTC>0.0085</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.032</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.035</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>13</dateDay>
<MJD>57521</MJD>
</time>
<dataEOP><pole type="prediction"><X>56.410</X>
<sigma_X>0.045</sigma_X>
<Y>487.306</Y>
<sigma_Y>0.042</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-156.2689</UT1-UTC>
<sigma_UT1-UTC>0.0086</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.034</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.037</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>14</dateDay>
<MJD>57522</MJD>
</time>
<dataEOP><pole type="prediction"><X>58.438</X>
<sigma_X>0.046</sigma_X>
<Y>488.241</Y>
<sigma_Y>0.045</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-157.8074</UT1-UTC>
<sigma_UT1-UTC>0.0086</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.035</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.038</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>15</dateDay>
<MJD>57523</MJD>
</time>
<dataEOP><pole type="prediction"><X>60.516</X>
<sigma_X>0.049</sigma_X>
<Y>488.831</Y>
<sigma_Y>0.048</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-159.4394</UT1-UTC>
<sigma_UT1-UTC>0.0087</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.037</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.039</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>16</dateDay>
<MJD>57524</MJD>
</time>
<dataEOP><pole type="prediction"><X>62.571</X>
<sigma_X>0.052</sigma_X>
<Y>489.173</Y>
<sigma_Y>0.052</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-161.1645</UT1-UTC>
<sigma_UT1-UTC>0.0086</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.038</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>17</dateDay>
<MJD>57525</MJD>
</time>
<dataEOP><pole type="prediction"><X>64.671</X>
<sigma_X>0.056</sigma_X>
<Y>489.653</Y>
<sigma_Y>0.057</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-162.9227</UT1-UTC>
<sigma_UT1-UTC>0.0086</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.039</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>18</dateDay>
<MJD>57526</MJD>
</time>
<dataEOP><pole type="prediction"><X>66.475</X>
<sigma_X>0.061</sigma_X>
<Y>490.398</Y>
<sigma_Y>0.062</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-164.6367</UT1-UTC>
<sigma_UT1-UTC>0.0085</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.040</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>19</dateDay>
<MJD>57527</MJD>
</time>
<dataEOP><pole type="prediction"><X>68.116</X>
<sigma_X>0.066</sigma_X>
<Y>491.225</Y>
<sigma_Y>0.068</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-166.2734</UT1-UTC>
<sigma_UT1-UTC>0.0085</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.040</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>20</dateDay>
<MJD>57528</MJD>
</time>
<dataEOP><pole type="prediction"><X>69.547</X>
<sigma_X>0.071</sigma_X>
<Y>492.235</Y>
<sigma_Y>0.073</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-167.8516</UT1-UTC>
<sigma_UT1-UTC>0.0085</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.040</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>21</dateDay>
<MJD>57529</MJD>
</time>
<dataEOP><pole type="prediction"><X>70.598</X>
<sigma_X>0.075</sigma_X>
<Y>493.137</Y>
<sigma_Y>0.077</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-169.3807</UT1-UTC>
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<Y>493.700</Y>
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<UT type="prediction"><UT1-UTC>-170.8546</UT1-UTC>
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<Y>493.883</Y>
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<UT type="prediction"><UT1-UTC>-172.2811</UT1-UTC>
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<Y>494.212</Y>
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<UT type="prediction"><UT1-UTC>-173.7406</UT1-UTC>
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<Y>494.853</Y>
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<UT type="prediction"><UT1-UTC>-175.1867</UT1-UTC>
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<Y>495.521</Y>
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<UT type="prediction"><UT1-UTC>-176.5473</UT1-UTC>
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<dataEOP><pole type="prediction"><X>80.953</X>
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<Y>496.119</Y>
<sigma_Y>0.085</sigma_Y>
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<UT type="prediction"><UT1-UTC>-177.9273</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.019</dX>
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<sigma_dY>0.042</sigma_dY>
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<Y>496.569</Y>
<sigma_Y>0.085</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-179.3875</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.019</dX>
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<dY>0.044</dY>
<sigma_dY>0.042</sigma_dY>
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<timeSeries><time><dateYear>2016</dateYear>
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<MJD>57537</MJD>
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<dataEOP><pole type="prediction"><X>85.100</X>
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<Y>496.736</Y>
<sigma_Y>0.085</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-180.9226</UT1-UTC>
<sigma_UT1-UTC>0.0095</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.041</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
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<MJD>57538</MJD>
</time>
<dataEOP><pole type="prediction"><X>87.807</X>
<sigma_X>0.084</sigma_X>
<Y>496.602</Y>
<sigma_Y>0.086</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-182.7062</UT1-UTC>
<sigma_UT1-UTC>0.0099</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.041</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>31</dateDay>
<MJD>57539</MJD>
</time>
<dataEOP><pole type="prediction"><X>90.621</X>
<sigma_X>0.087</sigma_X>
<Y>496.453</Y>
<sigma_Y>0.088</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-184.5254</UT1-UTC>
<sigma_UT1-UTC>0.0102</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.041</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>6</dateMonth>
<dateDay>1</dateDay>
<MJD>57540</MJD>
</time>
<dataEOP><pole type="prediction"><X>93.178</X>
<sigma_X>999.000</sigma_X>
<Y>496.456</Y>
<sigma_Y>999.000</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-186.5274</UT1-UTC>
<sigma_UT1-UTC>999.0000</sigma_UT1-UTC>
</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>
</dataEOP>
</timeSeries>
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</EOP>