<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>Bulletin B</product>
<date>2016-04-01</date>
<volume>new</volume>
<number>338</number>
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<UT type="final"><UT1-UTC>-6.4324</UT1-UTC>
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<dataEOP><pole type="final"><X>-20.905</X>
<sigma_X>0.042</sigma_X>
<Y>339.830</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-8.0787</UT1-UTC>
<sigma_UT1-UTC>0.0052</sigma_UT1-UTC>
<LOD>1.6765</LOD>
<sigma_LOD>0.0215</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.952</dPsi>
<sigma_dPsi>0.053</sigma_dPsi>
<dEpsilon>-10.918</dEpsilon>
<sigma_dEpsilon>0.019</sigma_dEpsilon>
<dX>-0.174</dX>
<sigma_dX>0.021</sigma_dX>
<dY>-0.053</dY>
<sigma_dY>0.019</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>24</dateDay>
<MJD>57442</MJD>
</time>
<dataEOP><pole type="final"><X>-21.616</X>
<sigma_X>0.042</sigma_X>
<Y>342.062</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-9.7889</UT1-UTC>
<sigma_UT1-UTC>0.0051</sigma_UT1-UTC>
<LOD>1.7453</LOD>
<sigma_LOD>0.0215</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.866</dPsi>
<sigma_dPsi>0.053</sigma_dPsi>
<dEpsilon>-11.046</dEpsilon>
<sigma_dEpsilon>0.018</sigma_dEpsilon>
<dX>-0.169</dX>
<sigma_dX>0.021</sigma_dX>
<dY>-0.066</dY>
<sigma_dY>0.018</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>25</dateDay>
<MJD>57443</MJD>
</time>
<dataEOP><pole type="final"><X>-21.911</X>
<sigma_X>0.042</sigma_X>
<Y>344.416</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-11.5637</UT1-UTC>
<sigma_UT1-UTC>0.0050</sigma_UT1-UTC>
<LOD>1.8341</LOD>
<sigma_LOD>0.0215</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.819</dPsi>
<sigma_dPsi>0.050</sigma_dPsi>
<dEpsilon>-11.181</dEpsilon>
<sigma_dEpsilon>0.017</sigma_dEpsilon>
<dX>-0.164</dX>
<sigma_dX>0.020</sigma_dX>
<dY>-0.077</dY>
<sigma_dY>0.017</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>26</dateDay>
<MJD>57444</MJD>
</time>
<dataEOP><pole type="final"><X>-22.011</X>
<sigma_X>0.042</sigma_X>
<Y>346.307</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-13.4119</UT1-UTC>
<sigma_UT1-UTC>0.0050</sigma_UT1-UTC>
<LOD>1.8341</LOD>
<sigma_LOD>0.0216</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.905</dPsi>
<sigma_dPsi>0.050</sigma_dPsi>
<dEpsilon>-11.316</dEpsilon>
<sigma_dEpsilon>0.017</sigma_dEpsilon>
<dX>-0.159</dX>
<sigma_dX>0.020</sigma_dX>
<dY>-0.088</dY>
<sigma_dY>0.017</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>27</dateDay>
<MJD>57445</MJD>
</time>
<dataEOP><pole type="final"><X>-22.273</X>
<sigma_X>0.042</sigma_X>
<Y>348.402</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-15.2189</UT1-UTC>
<sigma_UT1-UTC>0.0049</sigma_UT1-UTC>
<LOD>1.7652</LOD>
<sigma_LOD>0.0217</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-94.085</dPsi>
<sigma_dPsi>0.048</sigma_dPsi>
<dEpsilon>-11.444</dEpsilon>
<sigma_dEpsilon>0.017</sigma_dEpsilon>
<dX>-0.155</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.098</dY>
<sigma_dY>0.017</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>28</dateDay>
<MJD>57446</MJD>
</time>
<dataEOP><pole type="final"><X>-23.218</X>
<sigma_X>0.042</sigma_X>
<Y>350.815</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-16.9781</UT1-UTC>
<sigma_UT1-UTC>0.0048</sigma_UT1-UTC>
<LOD>1.7215</LOD>
<sigma_LOD>0.0219</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-94.243</dPsi>
<sigma_dPsi>0.048</sigma_dPsi>
<dEpsilon>-11.570</dEpsilon>
<sigma_dEpsilon>0.017</sigma_dEpsilon>
<dX>-0.150</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.109</dY>
<sigma_dY>0.017</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>2</dateMonth>
<dateDay>29</dateDay>
<MJD>57447</MJD>
</time>
<dataEOP><pole type="final"><X>-24.254</X>
<sigma_X>0.042</sigma_X>
<Y>352.863</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-18.6952</UT1-UTC>
<sigma_UT1-UTC>0.0047</sigma_UT1-UTC>
<LOD>1.7122</LOD>
<sigma_LOD>0.0220</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-94.364</dPsi>
<sigma_dPsi>0.048</sigma_dPsi>
<dEpsilon>-11.702</dEpsilon>
<sigma_dEpsilon>0.017</sigma_dEpsilon>
<dX>-0.145</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.120</dY>
<sigma_dY>0.017</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>1</dateDay>
<MJD>57448</MJD>
</time>
<dataEOP><pole type="final"><X>-24.918</X>
<sigma_X>0.042</sigma_X>
<Y>354.451</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-20.3678</UT1-UTC>
<sigma_UT1-UTC>0.0046</sigma_UT1-UTC>
<LOD>1.6571</LOD>
<sigma_LOD>0.0222</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-94.490</dPsi>
<sigma_dPsi>0.048</sigma_dPsi>
<dEpsilon>-11.799</dEpsilon>
<sigma_dEpsilon>0.017</sigma_dEpsilon>
<dX>-0.140</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.131</dY>
<sigma_dY>0.017</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>2</dateDay>
<MJD>57449</MJD>
</time>
<dataEOP><pole type="prediction"><X>-24.698</X>
<sigma_X>0.042</sigma_X>
<Y>355.900</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-21.9964</UT1-UTC>
<sigma_UT1-UTC>0.0045</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.123</dX>
<sigma_dX>0.019</sigma_dX>
<dY>-0.129</dY>
<sigma_dY>0.017</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>3</dateDay>
<MJD>57450</MJD>
</time>
<dataEOP><pole type="prediction"><X>-23.990</X>
<sigma_X>0.042</sigma_X>
<Y>357.830</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-23.6917</UT1-UTC>
<sigma_UT1-UTC>0.0044</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.102</dX>
<sigma_dX>0.018</sigma_dX>
<dY>-0.123</dY>
<sigma_dY>0.016</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>4</dateDay>
<MJD>57451</MJD>
</time>
<dataEOP><pole type="prediction"><X>-23.647</X>
<sigma_X>0.042</sigma_X>
<Y>360.188</Y>
<sigma_Y>0.036</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-25.4349</UT1-UTC>
<sigma_UT1-UTC>0.0043</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.081</dX>
<sigma_dX>0.018</sigma_dX>
<dY>-0.118</dY>
<sigma_dY>0.016</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>5</dateDay>
<MJD>57452</MJD>
</time>
<dataEOP><pole type="prediction"><X>-23.771</X>
<sigma_X>0.043</sigma_X>
<Y>362.635</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-27.2363</UT1-UTC>
<sigma_UT1-UTC>0.0042</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.060</dX>
<sigma_dX>0.017</sigma_dX>
<dY>-0.113</dY>
<sigma_dY>0.015</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>6</dateDay>
<MJD>57453</MJD>
</time>
<dataEOP><pole type="prediction"><X>-23.662</X>
<sigma_X>0.043</sigma_X>
<Y>365.026</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-29.2128</UT1-UTC>
<sigma_UT1-UTC>0.0041</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.039</dX>
<sigma_dX>0.017</sigma_dX>
<dY>-0.107</dY>
<sigma_dY>0.015</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>7</dateDay>
<MJD>57454</MJD>
</time>
<dataEOP><pole type="prediction"><X>-24.009</X>
<sigma_X>0.043</sigma_X>
<Y>367.583</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-31.3367</UT1-UTC>
<sigma_UT1-UTC>0.0041</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.018</dX>
<sigma_dX>0.016</sigma_dX>
<dY>-0.102</dY>
<sigma_dY>0.014</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>8</dateDay>
<MJD>57455</MJD>
</time>
<dataEOP><pole type="prediction"><X>-24.466</X>
<sigma_X>0.044</sigma_X>
<Y>370.044</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-33.5658</UT1-UTC>
<sigma_UT1-UTC>0.0040</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.003</dX>
<sigma_dX>0.016</sigma_dX>
<dY>-0.097</dY>
<sigma_dY>0.014</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>9</dateDay>
<MJD>57456</MJD>
</time>
<dataEOP><pole type="prediction"><X>-24.825</X>
<sigma_X>0.045</sigma_X>
<Y>372.516</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-35.9195</UT1-UTC>
<sigma_UT1-UTC>0.0041</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.000</dX>
<sigma_dX>0.015</sigma_dX>
<dY>-0.082</dY>
<sigma_dY>0.014</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>10</dateDay>
<MJD>57457</MJD>
</time>
<dataEOP><pole type="prediction"><X>-25.116</X>
<sigma_X>0.046</sigma_X>
<Y>374.924</Y>
<sigma_Y>0.040</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-38.3635</UT1-UTC>
<sigma_UT1-UTC>0.0041</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.008</dX>
<sigma_dX>0.014</sigma_dX>
<dY>-0.064</dY>
<sigma_dY>0.014</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>11</dateDay>
<MJD>57458</MJD>
</time>
<dataEOP><pole type="prediction"><X>-25.051</X>
<sigma_X>0.048</sigma_X>
<Y>377.067</Y>
<sigma_Y>0.041</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-40.8582</UT1-UTC>
<sigma_UT1-UTC>0.0042</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.016</dX>
<sigma_dX>0.014</sigma_dX>
<dY>-0.046</dY>
<sigma_dY>0.014</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>12</dateDay>
<MJD>57459</MJD>
</time>
<dataEOP><pole type="prediction"><X>-25.195</X>
<sigma_X>0.050</sigma_X>
<Y>378.939</Y>
<sigma_Y>0.043</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-43.2777</UT1-UTC>
<sigma_UT1-UTC>0.0043</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.025</dX>
<sigma_dX>0.015</sigma_dX>
<dY>-0.028</dY>
<sigma_dY>0.014</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>13</dateDay>
<MJD>57460</MJD>
</time>
<dataEOP><pole type="prediction"><X>-25.233</X>
<sigma_X>0.054</sigma_X>
<Y>380.826</Y>
<sigma_Y>0.046</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-45.5810</UT1-UTC>
<sigma_UT1-UTC>0.0044</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.033</dX>
<sigma_dX>0.015</sigma_dX>
<dY>-0.010</dY>
<sigma_dY>0.015</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>14</dateDay>
<MJD>57461</MJD>
</time>
<dataEOP><pole type="prediction"><X>-24.837</X>
<sigma_X>0.058</sigma_X>
<Y>382.678</Y>
<sigma_Y>0.050</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-47.7519</UT1-UTC>
<sigma_UT1-UTC>0.0045</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.041</dX>
<sigma_dX>0.016</sigma_dX>
<dY>0.007</dY>
<sigma_dY>0.016</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>15</dateDay>
<MJD>57462</MJD>
</time>
<dataEOP><pole type="prediction"><X>-23.978</X>
<sigma_X>0.062</sigma_X>
<Y>384.813</Y>
<sigma_Y>0.055</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-49.7717</UT1-UTC>
<sigma_UT1-UTC>0.0047</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.049</dX>
<sigma_dX>0.017</sigma_dX>
<dY>0.025</dY>
<sigma_dY>0.018</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>16</dateDay>
<MJD>57463</MJD>
</time>
<dataEOP><pole type="prediction"><X>-22.830</X>
<sigma_X>0.068</sigma_X>
<Y>387.156</Y>
<sigma_Y>0.061</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-51.6449</UT1-UTC>
<sigma_UT1-UTC>0.0048</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.019</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.020</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>17</dateDay>
<MJD>57464</MJD>
</time>
<dataEOP><pole type="prediction"><X>-20.574</X>
<sigma_X>0.074</sigma_X>
<Y>389.503</Y>
<sigma_Y>0.066</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-53.4802</UT1-UTC>
<sigma_UT1-UTC>0.0050</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.021</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.022</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>18</dateDay>
<MJD>57465</MJD>
</time>
<dataEOP><pole type="prediction"><X>-18.751</X>
<sigma_X>0.079</sigma_X>
<Y>392.019</Y>
<sigma_Y>0.072</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-55.2996</UT1-UTC>
<sigma_UT1-UTC>0.0053</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.024</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>19</dateDay>
<MJD>57466</MJD>
</time>
<dataEOP><pole type="prediction"><X>-17.031</X>
<sigma_X>0.083</sigma_X>
<Y>394.489</Y>
<sigma_Y>0.076</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-57.1505</UT1-UTC>
<sigma_UT1-UTC>0.0056</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.027</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.028</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>20</dateDay>
<MJD>57467</MJD>
</time>
<dataEOP><pole type="prediction"><X>-14.521</X>
<sigma_X>0.086</sigma_X>
<Y>396.975</Y>
<sigma_Y>0.080</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-59.0944</UT1-UTC>
<sigma_UT1-UTC>0.0060</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.031</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>21</dateDay>
<MJD>57468</MJD>
</time>
<dataEOP><pole type="prediction"><X>-13.614</X>
<sigma_X>0.087</sigma_X>
<Y>399.479</Y>
<sigma_Y>0.083</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-61.1003</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.036</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.036</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>22</dateDay>
<MJD>57469</MJD>
</time>
<dataEOP><pole type="prediction"><X>-13.437</X>
<sigma_X>0.087</sigma_X>
<Y>402.034</Y>
<sigma_Y>0.084</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-63.1850</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.041</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>23</dateDay>
<MJD>57470</MJD>
</time>
<dataEOP><pole type="prediction"><X>-13.679</X>
<sigma_X>0.086</sigma_X>
<Y>404.372</Y>
<sigma_Y>0.086</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-65.3060</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.045</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.045</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>24</dateDay>
<MJD>57471</MJD>
</time>
<dataEOP><pole type="prediction"><X>-13.579</X>
<sigma_X>0.085</sigma_X>
<Y>406.423</Y>
<sigma_Y>0.087</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-67.3366</UT1-UTC>
<sigma_UT1-UTC>0.0068</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.048</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.049</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>25</dateDay>
<MJD>57472</MJD>
</time>
<dataEOP><pole type="prediction"><X>-13.276</X>
<sigma_X>0.084</sigma_X>
<Y>408.422</Y>
<sigma_Y>0.088</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-69.3397</UT1-UTC>
<sigma_UT1-UTC>0.0068</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.051</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.051</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>26</dateDay>
<MJD>57473</MJD>
</time>
<dataEOP><pole type="prediction"><X>-12.581</X>
<sigma_X>0.083</sigma_X>
<Y>410.508</Y>
<sigma_Y>0.089</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-71.3817</UT1-UTC>
<sigma_UT1-UTC>0.0069</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.052</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>27</dateDay>
<MJD>57474</MJD>
</time>
<dataEOP><pole type="prediction"><X>-11.816</X>
<sigma_X>0.083</sigma_X>
<Y>412.694</Y>
<sigma_Y>0.091</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-73.3901</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.052</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>28</dateDay>
<MJD>57475</MJD>
</time>
<dataEOP><pole type="prediction"><X>-11.051</X>
<sigma_X>0.083</sigma_X>
<Y>414.544</Y>
<sigma_Y>0.093</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-75.3374</UT1-UTC>
<sigma_UT1-UTC>0.0072</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.053</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>29</dateDay>
<MJD>57476</MJD>
</time>
<dataEOP><pole type="prediction"><X>-10.206</X>
<sigma_X>0.084</sigma_X>
<Y>416.300</Y>
<sigma_Y>0.096</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-77.1866</UT1-UTC>
<sigma_UT1-UTC>0.0075</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.053</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>30</dateDay>
<MJD>57477</MJD>
</time>
<dataEOP><pole type="prediction"><X>-9.302</X>
<sigma_X>0.086</sigma_X>
<Y>418.052</Y>
<sigma_Y>0.099</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-78.9826</UT1-UTC>
<sigma_UT1-UTC>0.0078</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.053</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>31</dateDay>
<MJD>57478</MJD>
</time>
<dataEOP><pole type="prediction"><X>-8.694</X>
<sigma_X>0.089</sigma_X>
<Y>419.678</Y>
<sigma_Y>0.102</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-80.7403</UT1-UTC>
<sigma_UT1-UTC>0.0083</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.053</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.053</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>1</dateDay>
<MJD>57479</MJD>
</time>
<dataEOP><pole type="prediction"><X>-7.810</X>
<sigma_X>999.000</sigma_X>
<Y>421.455</Y>
<sigma_Y>999.000</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-82.5651</UT1-UTC>
<sigma_UT1-UTC>999.0000</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.007</dX>
<sigma_dX>999.000</sigma_dX>
<dY>0.000</dY>
<sigma_dY>999.000</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
</data>
</EOP>