<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>Bulletin B</product>
<date>2016-05-01</date>
<volume>new</volume>
<number>339</number>
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<dataEOP><pole type="final"><X>-13.649</X>
<sigma_X>0.041</sigma_X>
<Y>404.403</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-65.2904</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
<LOD>2.0784</LOD>
<sigma_LOD>0.0210</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-92.984</dPsi>
<sigma_dPsi>0.090</sigma_dPsi>
<dEpsilon>-12.227</dEpsilon>
<sigma_dEpsilon>0.032</sigma_dEpsilon>
<dX>-0.224</dX>
<sigma_dX>0.036</sigma_dX>
<dY>0.163</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>24</dateDay>
<MJD>57471</MJD>
</time>
<dataEOP><pole type="final"><X>-13.656</X>
<sigma_X>0.040</sigma_X>
<Y>406.397</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-67.3380</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
<LOD>2.0181</LOD>
<sigma_LOD>0.0207</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.022</dPsi>
<sigma_dPsi>0.093</sigma_dPsi>
<dEpsilon>-12.177</dEpsilon>
<sigma_dEpsilon>0.032</sigma_dEpsilon>
<dX>-0.227</dX>
<sigma_dX>0.037</sigma_dX>
<dY>0.194</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>25</dateDay>
<MJD>57472</MJD>
</time>
<dataEOP><pole type="final"><X>-13.268</X>
<sigma_X>0.040</sigma_X>
<Y>408.432</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-69.3414</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
<LOD>2.0270</LOD>
<sigma_LOD>0.0204</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.104</dPsi>
<sigma_dPsi>0.090</sigma_dPsi>
<dEpsilon>-12.299</dEpsilon>
<sigma_dEpsilon>0.032</sigma_dEpsilon>
<dX>-0.216</dX>
<sigma_dX>0.036</sigma_dX>
<dY>0.161</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>26</dateDay>
<MJD>57473</MJD>
</time>
<dataEOP><pole type="final"><X>-12.630</X>
<sigma_X>0.040</sigma_X>
<Y>410.453</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-71.3826</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
<LOD>2.0476</LOD>
<sigma_LOD>0.0202</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.218</dPsi>
<sigma_dPsi>0.083</sigma_dPsi>
<dEpsilon>-12.478</dEpsilon>
<sigma_dEpsilon>0.031</sigma_dEpsilon>
<dX>-0.205</dX>
<sigma_dX>0.033</sigma_dX>
<dY>0.127</dY>
<sigma_dY>0.031</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>27</dateDay>
<MJD>57474</MJD>
</time>
<dataEOP><pole type="final"><X>-11.832</X>
<sigma_X>0.040</sigma_X>
<Y>412.654</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-73.3909</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
<LOD>1.9754</LOD>
<sigma_LOD>0.0200</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.316</dPsi>
<sigma_dPsi>0.075</sigma_dPsi>
<dEpsilon>-12.642</dEpsilon>
<sigma_dEpsilon>0.029</sigma_dEpsilon>
<dX>-0.194</dX>
<sigma_dX>0.030</sigma_dX>
<dY>0.094</dY>
<sigma_dY>0.029</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>28</dateDay>
<MJD>57475</MJD>
</time>
<dataEOP><pole type="final"><X>-11.104</X>
<sigma_X>0.040</sigma_X>
<Y>414.514</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-75.3360</UT1-UTC>
<sigma_UT1-UTC>0.0062</sigma_UT1-UTC>
<LOD>1.8850</LOD>
<sigma_LOD>0.0199</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.424</dPsi>
<sigma_dPsi>0.070</sigma_dPsi>
<dEpsilon>-12.792</dEpsilon>
<sigma_dEpsilon>0.027</sigma_dEpsilon>
<dX>-0.183</dX>
<sigma_dX>0.028</sigma_dX>
<dY>0.060</dY>
<sigma_dY>0.027</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>29</dateDay>
<MJD>57476</MJD>
</time>
<dataEOP><pole type="final"><X>-10.242</X>
<sigma_X>0.040</sigma_X>
<Y>416.353</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-77.1799</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
<LOD>1.8234</LOD>
<sigma_LOD>0.0198</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.585</dPsi>
<sigma_dPsi>0.063</sigma_dPsi>
<dEpsilon>-12.955</dEpsilon>
<sigma_dEpsilon>0.025</sigma_dEpsilon>
<dX>-0.172</dX>
<sigma_dX>0.025</sigma_dX>
<dY>0.027</dY>
<sigma_dY>0.025</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>30</dateDay>
<MJD>57477</MJD>
</time>
<dataEOP><pole type="final"><X>-9.340</X>
<sigma_X>0.040</sigma_X>
<Y>418.021</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-78.9548</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
<LOD>1.7641</LOD>
<sigma_LOD>0.0199</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.668</dPsi>
<sigma_dPsi>0.060</sigma_dPsi>
<dEpsilon>-13.086</dEpsilon>
<sigma_dEpsilon>0.024</sigma_dEpsilon>
<dX>-0.161</dX>
<sigma_dX>0.024</sigma_dX>
<dY>-0.007</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>3</dateMonth>
<dateDay>31</dateDay>
<MJD>57478</MJD>
</time>
<dataEOP><pole type="final"><X>-8.700</X>
<sigma_X>0.040</sigma_X>
<Y>419.752</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-80.7071</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
<LOD>1.7412</LOD>
<sigma_LOD>0.0200</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-93.365</dPsi>
<sigma_dPsi>0.058</sigma_dPsi>
<dEpsilon>-13.015</dEpsilon>
<sigma_dEpsilon>0.024</sigma_dEpsilon>
<dX>-0.135</dX>
<sigma_dX>0.023</sigma_dX>
<dY>0.012</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>1</dateDay>
<MJD>57479</MJD>
</time>
<dataEOP><pole type="final"><X>-8.409</X>
<sigma_X>0.041</sigma_X>
<Y>421.214</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-82.4567</UT1-UTC>
<sigma_UT1-UTC>0.0057</sigma_UT1-UTC>
<LOD>1.7682</LOD>
<sigma_LOD>0.0202</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-92.675</dPsi>
<sigma_dPsi>0.055</sigma_dPsi>
<dEpsilon>-12.762</dEpsilon>
<sigma_dEpsilon>0.023</sigma_dEpsilon>
<dX>-0.105</dX>
<sigma_dX>0.022</sigma_dX>
<dY>0.044</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>2</dateDay>
<MJD>57480</MJD>
</time>
<dataEOP><pole type="prediction"><X>-8.086</X>
<sigma_X>0.041</sigma_X>
<Y>422.695</Y>
<sigma_Y>0.037</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-84.2502</UT1-UTC>
<sigma_UT1-UTC>0.0056</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.090</dX>
<sigma_dX>0.022</sigma_dX>
<dY>0.028</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>3</dateDay>
<MJD>57481</MJD>
</time>
<dataEOP><pole type="prediction"><X>-7.599</X>
<sigma_X>0.042</sigma_X>
<Y>424.116</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-86.1545</UT1-UTC>
<sigma_UT1-UTC>0.0056</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.081</dX>
<sigma_dX>0.022</sigma_dX>
<dY>-0.007</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>4</dateDay>
<MJD>57482</MJD>
</time>
<dataEOP><pole type="prediction"><X>-6.474</X>
<sigma_X>0.042</sigma_X>
<Y>425.830</Y>
<sigma_Y>0.038</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-88.1525</UT1-UTC>
<sigma_UT1-UTC>0.0057</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.071</dX>
<sigma_dX>0.022</sigma_dX>
<dY>-0.041</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>5</dateDay>
<MJD>57483</MJD>
</time>
<dataEOP><pole type="prediction"><X>-4.766</X>
<sigma_X>0.043</sigma_X>
<Y>427.890</Y>
<sigma_Y>0.039</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-90.2911</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.062</dX>
<sigma_dX>0.022</sigma_dX>
<dY>-0.076</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>6</dateDay>
<MJD>57484</MJD>
</time>
<dataEOP><pole type="prediction"><X>-2.516</X>
<sigma_X>0.044</sigma_X>
<Y>429.866</Y>
<sigma_Y>0.039</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-92.5723</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.060</dX>
<sigma_dX>0.022</sigma_dX>
<dY>-0.057</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>7</dateDay>
<MJD>57485</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.714</X>
<sigma_X>0.045</sigma_X>
<Y>432.202</Y>
<sigma_Y>0.041</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-94.9238</UT1-UTC>
<sigma_UT1-UTC>0.0063</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.059</dX>
<sigma_dX>0.022</sigma_dX>
<dY>-0.024</dY>
<sigma_dY>0.023</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>8</dateDay>
<MJD>57486</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.679</X>
<sigma_X>0.047</sigma_X>
<Y>434.750</Y>
<sigma_Y>0.042</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-97.2689</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.058</dX>
<sigma_dX>0.022</sigma_dX>
<dY>0.009</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>9</dateDay>
<MJD>57487</MJD>
</time>
<dataEOP><pole type="prediction"><X>2.097</X>
<sigma_X>0.049</sigma_X>
<Y>437.110</Y>
<sigma_Y>0.045</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-99.5907</UT1-UTC>
<sigma_UT1-UTC>0.0069</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.057</dX>
<sigma_dX>0.021</sigma_dX>
<dY>0.042</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>10</dateDay>
<MJD>57488</MJD>
</time>
<dataEOP><pole type="prediction"><X>3.342</X>
<sigma_X>0.052</sigma_X>
<Y>439.081</Y>
<sigma_Y>0.048</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-101.7379</UT1-UTC>
<sigma_UT1-UTC>0.0072</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.056</dX>
<sigma_dX>0.021</sigma_dX>
<dY>0.075</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>11</dateDay>
<MJD>57489</MJD>
</time>
<dataEOP><pole type="prediction"><X>4.621</X>
<sigma_X>0.055</sigma_X>
<Y>441.023</Y>
<sigma_Y>0.052</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-103.6594</UT1-UTC>
<sigma_UT1-UTC>0.0074</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.056</dX>
<sigma_dX>0.021</sigma_dX>
<dY>0.108</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>12</dateDay>
<MJD>57490</MJD>
</time>
<dataEOP><pole type="prediction"><X>6.148</X>
<sigma_X>0.058</sigma_X>
<Y>442.718</Y>
<sigma_Y>0.057</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-105.4685</UT1-UTC>
<sigma_UT1-UTC>0.0074</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.055</dX>
<sigma_dX>0.020</sigma_dX>
<dY>0.141</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>13</dateDay>
<MJD>57491</MJD>
</time>
<dataEOP><pole type="prediction"><X>7.819</X>
<sigma_X>0.062</sigma_X>
<Y>444.250</Y>
<sigma_Y>0.063</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-107.1766</UT1-UTC>
<sigma_UT1-UTC>0.0074</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.050</dX>
<sigma_dX>0.020</sigma_dX>
<dY>0.143</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>14</dateDay>
<MJD>57492</MJD>
</time>
<dataEOP><pole type="prediction"><X>9.162</X>
<sigma_X>0.066</sigma_X>
<Y>445.694</Y>
<sigma_Y>0.069</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-108.7712</UT1-UTC>
<sigma_UT1-UTC>0.0074</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.043</dX>
<sigma_dX>0.020</sigma_dX>
<dY>0.136</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>15</dateDay>
<MJD>57493</MJD>
</time>
<dataEOP><pole type="prediction"><X>10.504</X>
<sigma_X>0.070</sigma_X>
<Y>447.487</Y>
<sigma_Y>0.075</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-110.3141</UT1-UTC>
<sigma_UT1-UTC>0.0073</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.037</dX>
<sigma_dX>0.021</sigma_dX>
<dY>0.130</dY>
<sigma_dY>0.024</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>16</dateDay>
<MJD>57494</MJD>
</time>
<dataEOP><pole type="prediction"><X>11.996</X>
<sigma_X>0.074</sigma_X>
<Y>449.659</Y>
<sigma_Y>0.080</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-111.8991</UT1-UTC>
<sigma_UT1-UTC>0.0071</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.031</dX>
<sigma_dX>0.022</sigma_dX>
<dY>0.123</dY>
<sigma_dY>0.025</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>17</dateDay>
<MJD>57495</MJD>
</time>
<dataEOP><pole type="prediction"><X>13.644</X>
<sigma_X>0.077</sigma_X>
<Y>451.948</Y>
<sigma_Y>0.084</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-113.5570</UT1-UTC>
<sigma_UT1-UTC>0.0070</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.024</dX>
<sigma_dX>0.023</sigma_dX>
<dY>0.117</dY>
<sigma_dY>0.026</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>18</dateDay>
<MJD>57496</MJD>
</time>
<dataEOP><pole type="prediction"><X>15.533</X>
<sigma_X>0.080</sigma_X>
<Y>454.139</Y>
<sigma_Y>0.086</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-115.1911</UT1-UTC>
<sigma_UT1-UTC>0.0069</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.018</dX>
<sigma_dX>0.024</sigma_dX>
<dY>0.110</dY>
<sigma_dY>0.027</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>19</dateDay>
<MJD>57497</MJD>
</time>
<dataEOP><pole type="prediction"><X>17.130</X>
<sigma_X>0.082</sigma_X>
<Y>455.944</Y>
<sigma_Y>0.088</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-116.8964</UT1-UTC>
<sigma_UT1-UTC>0.0068</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.012</dX>
<sigma_dX>0.026</sigma_dX>
<dY>0.104</dY>
<sigma_dY>0.029</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>20</dateDay>
<MJD>57498</MJD>
</time>
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<Y>458.700</Y>
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<UT type="prediction"><UT1-UTC>-121.9610</UT1-UTC>
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<Y>460.213</Y>
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<UT type="prediction"><UT1-UTC>-123.5791</UT1-UTC>
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<Y>461.898</Y>
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<UT type="prediction"><UT1-UTC>-125.1246</UT1-UTC>
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<Y>463.513</Y>
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<UT type="prediction"><UT1-UTC>-126.5292</UT1-UTC>
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<Y>465.448</Y>
<sigma_Y>0.091</sigma_Y>
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<UT type="prediction"><UT1-UTC>-127.8014</UT1-UTC>
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<Y>467.034</Y>
<sigma_Y>0.093</sigma_Y>
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<UT type="prediction"><UT1-UTC>-129.0356</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.019</dX>
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<sigma_dY>0.049</sigma_dY>
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<MJD>57506</MJD>
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<dataEOP><pole type="prediction"><X>29.733</X>
<sigma_X>0.100</sigma_X>
<Y>468.598</Y>
<sigma_Y>0.095</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-130.3071</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.019</dX>
<sigma_dX>0.049</sigma_dX>
<dY>0.043</dY>
<sigma_dY>0.050</sigma_dY>
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<MJD>57507</MJD>
</time>
<dataEOP><pole type="prediction"><X>30.841</X>
<sigma_X>999.000</sigma_X>
<Y>470.077</Y>
<sigma_Y>999.000</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-131.6147</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>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>4</dateMonth>
<dateDay>30</dateDay>
<MJD>57508</MJD>
</time>
<dataEOP><pole type="prediction"><X>32.113</X>
<sigma_X>999.000</sigma_X>
<Y>471.276</Y>
<sigma_Y>999.000</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-132.9358</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>
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<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>5</dateMonth>
<dateDay>1</dateDay>
<MJD>57509</MJD>
</time>
<dataEOP><pole type="prediction"><X>33.583</X>
<sigma_X>999.000</sigma_X>
<Y>472.482</Y>
<sigma_Y>999.000</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-134.3179</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>
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