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<date>2017-01-01</date>
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<number>347</number>
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<Y>268.665</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-358.3384</UT1-UTC>
<sigma_UT1-UTC>0.0083</sigma_UT1-UTC>
<LOD>1.5707</LOD>
<sigma_LOD>0.0034</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-100.853</dPsi>
<sigma_dPsi>0.073</sigma_dPsi>
<dEpsilon>-10.502</dEpsilon>
<sigma_dEpsilon>0.031</sigma_dEpsilon>
<dX>0.064</dX>
<sigma_dX>0.029</sigma_dX>
<dY>-0.164</dY>
<sigma_dY>0.031</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>57716</MJD>
</time>
<dataEOP><pole type="final"><X>142.531</X>
<sigma_X>0.003</sigma_X>
<Y>268.381</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-359.9235</UT1-UTC>
<sigma_UT1-UTC>0.0086</sigma_UT1-UTC>
<LOD>1.6032</LOD>
<sigma_LOD>0.0034</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-101.003</dPsi>
<sigma_dPsi>0.075</sigma_dPsi>
<dEpsilon>-10.381</dEpsilon>
<sigma_dEpsilon>0.032</sigma_dEpsilon>
<dX>-0.079</dX>
<sigma_dX>0.030</sigma_dX>
<dY>-0.176</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>57717</MJD>
</time>
<dataEOP><pole type="final"><X>141.273</X>
<sigma_X>0.004</sigma_X>
<Y>268.400</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-361.6385</UT1-UTC>
<sigma_UT1-UTC>0.0089</sigma_UT1-UTC>
<LOD>1.5676</LOD>
<sigma_LOD>0.0034</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-101.191</dPsi>
<sigma_dPsi>0.075</sigma_dPsi>
<dEpsilon>-10.275</dEpsilon>
<sigma_dEpsilon>0.032</sigma_dEpsilon>
<dX>-0.223</dX>
<sigma_dX>0.030</sigma_dX>
<dY>-0.188</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>57718</MJD>
</time>
<dataEOP><pole type="final"><X>140.279</X>
<sigma_X>0.004</sigma_X>
<Y>268.329</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-363.0973</UT1-UTC>
<sigma_UT1-UTC>0.0092</sigma_UT1-UTC>
<LOD>1.5113</LOD>
<sigma_LOD>0.0034</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-101.116</dPsi>
<sigma_dPsi>0.078</sigma_dPsi>
<dEpsilon>-10.095</dEpsilon>
<sigma_dEpsilon>0.033</sigma_dEpsilon>
<dX>-0.197</dX>
<sigma_dX>0.031</sigma_dX>
<dY>-0.166</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>57719</MJD>
</time>
<dataEOP><pole type="final"><X>139.103</X>
<sigma_X>0.004</sigma_X>
<Y>268.540</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-364.5137</UT1-UTC>
<sigma_UT1-UTC>0.0095</sigma_UT1-UTC>
<LOD>1.4463</LOD>
<sigma_LOD>0.0034</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-100.931</dPsi>
<sigma_dPsi>0.078</sigma_dPsi>
<dEpsilon>-9.907</dEpsilon>
<sigma_dEpsilon>0.033</sigma_dEpsilon>
<dX>-0.095</dX>
<sigma_dX>0.031</sigma_dX>
<dY>-0.129</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>57720</MJD>
</time>
<dataEOP><pole type="final"><X>137.064</X>
<sigma_X>0.004</sigma_X>
<Y>268.762</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-365.9093</UT1-UTC>
<sigma_UT1-UTC>0.0078</sigma_UT1-UTC>
<LOD>1.3474</LOD>
<sigma_LOD>0.0034</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-100.688</dPsi>
<sigma_dPsi>0.070</sigma_dPsi>
<dEpsilon>-9.812</dEpsilon>
<sigma_dEpsilon>0.029</sigma_dEpsilon>
<dX>0.007</dX>
<sigma_dX>0.028</sigma_dX>
<dY>-0.093</dY>
<sigma_dY>0.029</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>57721</MJD>
</time>
<dataEOP><pole type="final"><X>134.436</X>
<sigma_X>0.004</sigma_X>
<Y>268.375</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-367.2144</UT1-UTC>
<sigma_UT1-UTC>0.0078</sigma_UT1-UTC>
<LOD>1.2561</LOD>
<sigma_LOD>0.0034</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-100.343</dPsi>
<sigma_dPsi>0.070</sigma_dPsi>
<dEpsilon>-9.815</dEpsilon>
<sigma_dEpsilon>0.029</sigma_dEpsilon>
<dX>0.109</dX>
<sigma_dX>0.028</sigma_dX>
<dY>-0.057</dY>
<sigma_dY>0.029</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>57722</MJD>
</time>
<dataEOP><pole type="final"><X>132.038</X>
<sigma_X>0.004</sigma_X>
<Y>267.901</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-368.4802</UT1-UTC>
<sigma_UT1-UTC>0.0077</sigma_UT1-UTC>
<LOD>1.2267</LOD>
<sigma_LOD>0.0033</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-100.173</dPsi>
<sigma_dPsi>0.068</sigma_dPsi>
<dEpsilon>-9.900</dEpsilon>
<sigma_dEpsilon>0.026</sigma_dEpsilon>
<dX>0.116</dX>
<sigma_dX>0.027</sigma_dX>
<dY>-0.081</dY>
<sigma_dY>0.026</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>1</dateDay>
<MJD>57723</MJD>
</time>
<dataEOP><pole type="final"><X>129.858</X>
<sigma_X>0.004</sigma_X>
<Y>267.382</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="final"><UT1-UTC>-369.7225</UT1-UTC>
<sigma_UT1-UTC>0.0077</sigma_UT1-UTC>
<LOD>1.2334</LOD>
<sigma_LOD>0.0033</sigma_LOD>
</UT>
<nutation type="final"><dPsi>-100.039</dPsi>
<sigma_dPsi>0.070</sigma_dPsi>
<dEpsilon>-9.979</dEpsilon>
<sigma_dEpsilon>0.026</sigma_dEpsilon>
<dX>0.102</dX>
<sigma_dX>0.028</sigma_dX>
<dY>-0.126</dY>
<sigma_dY>0.026</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>2</dateDay>
<MJD>57724</MJD>
</time>
<dataEOP><pole type="prediction"><X>127.974</X>
<sigma_X>0.004</sigma_X>
<Y>266.993</Y>
<sigma_Y>0.004</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-370.9021</UT1-UTC>
<sigma_UT1-UTC>0.0076</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.086</dX>
<sigma_dX>0.028</sigma_dX>
<dY>-0.129</dY>
<sigma_dY>0.026</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>3</dateDay>
<MJD>57725</MJD>
</time>
<dataEOP><pole type="prediction"><X>126.040</X>
<sigma_X>0.004</sigma_X>
<Y>266.855</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-372.1236</UT1-UTC>
<sigma_UT1-UTC>0.0075</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.068</dX>
<sigma_dX>0.028</sigma_dX>
<dY>-0.119</dY>
<sigma_dY>0.027</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>4</dateDay>
<MJD>57726</MJD>
</time>
<dataEOP><pole type="prediction"><X>124.161</X>
<sigma_X>0.004</sigma_X>
<Y>266.484</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-373.3167</UT1-UTC>
<sigma_UT1-UTC>0.0074</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.050</dX>
<sigma_dX>0.029</sigma_dX>
<dY>-0.109</dY>
<sigma_dY>0.028</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>5</dateDay>
<MJD>57727</MJD>
</time>
<dataEOP><pole type="prediction"><X>122.535</X>
<sigma_X>0.005</sigma_X>
<Y>266.263</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-374.6447</UT1-UTC>
<sigma_UT1-UTC>0.0072</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.032</dX>
<sigma_dX>0.029</sigma_dX>
<dY>-0.099</dY>
<sigma_dY>0.028</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>6</dateDay>
<MJD>57728</MJD>
</time>
<dataEOP><pole type="prediction"><X>120.779</X>
<sigma_X>0.005</sigma_X>
<Y>265.964</Y>
<sigma_Y>0.005</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-376.0485</UT1-UTC>
<sigma_UT1-UTC>0.0071</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.015</dX>
<sigma_dX>0.029</sigma_dX>
<dY>-0.088</dY>
<sigma_dY>0.029</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>7</dateDay>
<MJD>57729</MJD>
</time>
<dataEOP><pole type="prediction"><X>119.596</X>
<sigma_X>0.005</sigma_X>
<Y>265.675</Y>
<sigma_Y>0.006</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-377.5562</UT1-UTC>
<sigma_UT1-UTC>0.0069</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>0.004</dX>
<sigma_dX>0.030</sigma_dX>
<dY>-0.093</dY>
<sigma_dY>0.029</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>8</dateDay>
<MJD>57730</MJD>
</time>
<dataEOP><pole type="prediction"><X>118.703</X>
<sigma_X>0.005</sigma_X>
<Y>265.496</Y>
<sigma_Y>0.006</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-379.1788</UT1-UTC>
<sigma_UT1-UTC>0.0067</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.005</dX>
<sigma_dX>0.031</sigma_dX>
<dY>-0.102</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>9</dateDay>
<MJD>57731</MJD>
</time>
<dataEOP><pole type="prediction"><X>118.331</X>
<sigma_X>0.006</sigma_X>
<Y>265.604</Y>
<sigma_Y>0.006</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-380.9270</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.013</dX>
<sigma_dX>0.031</sigma_dX>
<dY>-0.110</dY>
<sigma_dY>0.031</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>57732</MJD>
</time>
<dataEOP><pole type="prediction"><X>118.130</X>
<sigma_X>0.006</sigma_X>
<Y>265.920</Y>
<sigma_Y>0.006</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-382.7365</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.022</dX>
<sigma_dX>0.032</sigma_dX>
<dY>-0.119</dY>
<sigma_dY>0.032</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57733</MJD>
</time>
<dataEOP><pole type="prediction"><X>118.139</X>
<sigma_X>0.006</sigma_X>
<Y>266.287</Y>
<sigma_Y>0.007</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-384.5235</UT1-UTC>
<sigma_UT1-UTC>0.0062</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.031</dX>
<sigma_dX>0.032</sigma_dX>
<dY>-0.128</dY>
<sigma_dY>0.033</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57734</MJD>
</time>
<dataEOP><pole type="prediction"><X>117.719</X>
<sigma_X>0.006</sigma_X>
<Y>266.843</Y>
<sigma_Y>0.007</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-386.1960</UT1-UTC>
<sigma_UT1-UTC>0.0059</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.039</dX>
<sigma_dX>0.033</sigma_dX>
<dY>-0.136</dY>
<sigma_dY>0.034</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57735</MJD>
</time>
<dataEOP><pole type="prediction"><X>116.497</X>
<sigma_X>0.007</sigma_X>
<Y>267.265</Y>
<sigma_Y>0.007</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-387.6981</UT1-UTC>
<sigma_UT1-UTC>0.0057</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.048</dX>
<sigma_dX>0.034</sigma_dX>
<dY>-0.145</dY>
<sigma_dY>0.034</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57736</MJD>
</time>
<dataEOP><pole type="prediction"><X>114.770</X>
<sigma_X>0.007</sigma_X>
<Y>267.362</Y>
<sigma_Y>0.007</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-389.0402</UT1-UTC>
<sigma_UT1-UTC>0.0058</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.034</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.036</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57737</MJD>
</time>
<dataEOP><pole type="prediction"><X>113.127</X>
<sigma_X>0.007</sigma_X>
<Y>267.394</Y>
<sigma_Y>0.008</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-390.2942</UT1-UTC>
<sigma_UT1-UTC>0.0061</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.035</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.037</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57738</MJD>
</time>
<dataEOP><pole type="prediction"><X>111.806</X>
<sigma_X>0.008</sigma_X>
<Y>267.220</Y>
<sigma_Y>0.008</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-391.5293</UT1-UTC>
<sigma_UT1-UTC>0.0064</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.036</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.038</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57739</MJD>
</time>
<dataEOP><pole type="prediction"><X>110.918</X>
<sigma_X>0.008</sigma_X>
<Y>266.509</Y>
<sigma_Y>0.008</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-392.7774</UT1-UTC>
<sigma_UT1-UTC>0.0066</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.037</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.039</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57740</MJD>
</time>
<dataEOP><pole type="prediction"><X>109.806</X>
<sigma_X>0.009</sigma_X>
<Y>266.046</Y>
<sigma_Y>0.009</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-394.0383</UT1-UTC>
<sigma_UT1-UTC>0.0069</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.037</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.040</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57741</MJD>
</time>
<dataEOP><pole type="prediction"><X>108.538</X>
<sigma_X>0.009</sigma_X>
<Y>265.851</Y>
<sigma_Y>0.009</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-395.2954</UT1-UTC>
<sigma_UT1-UTC>0.0072</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.038</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.041</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57742</MJD>
</time>
<dataEOP><pole type="prediction"><X>106.618</X>
<sigma_X>0.009</sigma_X>
<Y>266.019</Y>
<sigma_Y>0.009</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-396.5794</UT1-UTC>
<sigma_UT1-UTC>0.0076</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.038</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.042</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57743</MJD>
</time>
<dataEOP><pole type="prediction"><X>103.760</X>
<sigma_X>0.010</sigma_X>
<Y>265.885</Y>
<sigma_Y>0.010</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-397.8585</UT1-UTC>
<sigma_UT1-UTC>0.0079</sigma_UT1-UTC>
</UT>
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<Y>265.655</Y>
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<UT type="prediction"><UT1-UTC>-399.1005</UT1-UTC>
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<Y>265.242</Y>
<sigma_Y>0.010</sigma_Y>
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<UT type="prediction"><UT1-UTC>-400.3414</UT1-UTC>
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<nutation type="prediction"><dX>-0.020</dX>
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<Y>264.602</Y>
<sigma_Y>0.011</sigma_Y>
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<UT type="prediction"><UT1-UTC>-401.5034</UT1-UTC>
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<Y>264.489</Y>
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<UT type="prediction"><UT1-UTC>-402.5690</UT1-UTC>
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<nutation type="prediction"><dX>-0.020</dX>
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<Y>264.518</Y>
<sigma_Y>0.012</sigma_Y>
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<UT type="prediction"><UT1-UTC>-403.5397</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.020</dX>
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<sigma_dY>0.045</sigma_dY>
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<Y>264.637</Y>
<sigma_Y>0.013</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-404.4335</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.020</dX>
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<sigma_dY>0.045</sigma_dY>
</nutation>
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<dataEOP><pole type="prediction"><X>86.878</X>
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<Y>264.543</Y>
<sigma_Y>0.013</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-405.2757</UT1-UTC>
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</UT>
<nutation type="prediction"><dX>-0.020</dX>
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<dY>0.046</dY>
<sigma_dY>0.046</sigma_dY>
</nutation>
</dataEOP>
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<dataEOP><pole type="prediction"><X>84.675</X>
<sigma_X>0.014</sigma_X>
<Y>264.505</Y>
<sigma_Y>0.014</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-406.0942</UT1-UTC>
<sigma_UT1-UTC>0.0117</sigma_UT1-UTC>
</UT>
<nutation type="prediction"><dX>-0.020</dX>
<sigma_dX>0.042</sigma_dX>
<dY>0.046</dY>
<sigma_dY>0.046</sigma_dY>
</nutation>
</dataEOP>
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<timeSeries><time><dateYear>2016</dateYear>
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<dateDay>30</dateDay>
<MJD>57752</MJD>
</time>
<dataEOP><pole type="prediction"><X>82.571</X>
<sigma_X>999.000</sigma_X>
<Y>264.512</Y>
<sigma_Y>999.000</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-406.9248</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>
<timeSeries><time><dateYear>2016</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57753</MJD>
</time>
<dataEOP><pole type="prediction"><X>80.694</X>
<sigma_X>999.000</sigma_X>
<Y>264.558</Y>
<sigma_Y>999.000</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>-407.9630</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>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>1</dateMonth>
<dateDay>1</dateDay>
<MJD>57754</MJD>
</time>
<dataEOP><pole type="prediction"><X>78.953</X>
<sigma_X>999.000</sigma_X>
<Y>264.866</Y>
<sigma_Y>999.000</sigma_Y>
</pole>
<UT type="prediction"><UT1-UTC>590.7975</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>