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<MJD>57792</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0313</X>
<Y>0.2920</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54289</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>57793</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0302</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54158</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>57794</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0292</X>
<Y>0.2944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.54021</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>57795</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0281</X>
<Y>0.2956</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53878</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>57796</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0271</X>
<Y>0.2968</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53726</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>57797</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0261</X>
<Y>0.2981</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53567</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>57798</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0251</X>
<Y>0.2993</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53406</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>57799</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0242</X>
<Y>0.3006</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53246</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>57800</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0233</X>
<Y>0.3019</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.53090</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>57801</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0224</X>
<Y>0.3032</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52941</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>57802</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0216</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52801</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>57803</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0207</X>
<Y>0.3058</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52670</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>57804</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0199</X>
<Y>0.3072</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52546</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>57805</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0192</X>
<Y>0.3086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52428</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>57806</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0184</X>
<Y>0.3100</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52311</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>57807</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0177</X>
<Y>0.3114</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52192</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>57808</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0170</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52064</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57809</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0163</X>
<Y>0.3142</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51923</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>57810</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0156</X>
<Y>0.3156</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51767</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>57811</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0150</X>
<Y>0.3171</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51592</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>57812</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0144</X>
<Y>0.3185</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51403</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57813</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0138</X>
<Y>0.3200</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51204</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>57814</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0133</X>
<Y>0.3215</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51004</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>57815</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0128</X>
<Y>0.3230</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50809</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57816</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0123</X>
<Y>0.3245</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50625</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>57817</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0118</X>
<Y>0.3260</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50455</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57818</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0114</X>
<Y>0.3275</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50296</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>57819</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0110</X>
<Y>0.3290</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57820</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0106</X>
<Y>0.3305</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49994</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57821</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0103</X>
<Y>0.3320</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49840</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57822</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0100</X>
<Y>0.3335</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49679</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>57823</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0097</X>
<Y>0.3351</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49508</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>57824</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0094</X>
<Y>0.3366</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49330</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>57825</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0092</X>
<Y>0.3382</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57826</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0090</X>
<Y>0.3397</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48965</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57827</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0089</X>
<Y>0.3413</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48787</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57828</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0087</X>
<Y>0.3428</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48616</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57829</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0086</X>
<Y>0.3444</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48454</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57830</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0085</X>
<Y>0.3460</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48301</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57831</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0085</X>
<Y>0.3475</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48157</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57832</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0085</X>
<Y>0.3491</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48019</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57833</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0085</X>
<Y>0.3507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47885</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57834</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0085</X>
<Y>0.3522</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47750</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57835</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0086</X>
<Y>0.3538</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47610</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57836</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0087</X>
<Y>0.3554</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47459</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57837</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0088</X>
<Y>0.3569</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47292</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57838</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0089</X>
<Y>0.3585</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47108</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57839</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0091</X>
<Y>0.3601</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57840</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0093</X>
<Y>0.3616</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46691</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57841</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0096</X>
<Y>0.3632</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46470</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57842</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0098</X>
<Y>0.3647</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46252</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57843</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0101</X>
<Y>0.3663</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57844</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0105</X>
<Y>0.3678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45850</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57845</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0108</X>
<Y>0.3694</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45671</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57846</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0112</X>
<Y>0.3709</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45502</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57847</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0116</X>
<Y>0.3725</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45339</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>57848</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0121</X>
<Y>0.3740</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45176</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>57849</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0125</X>
<Y>0.3755</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45007</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>57850</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0130</X>
<Y>0.3770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44832</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>57851</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0135</X>
<Y>0.3785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44649</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57852</MJD>
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<UT type="prediction"><UT1-UTC>0.44462</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44275</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.44091</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43913</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43746</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43589</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43442</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43305</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43174</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.43046</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42914</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42775</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42625</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42458</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42275</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.42078</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41871</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41662</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41460</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41272</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41102</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40946</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40801</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40659</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40515</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40367</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40215</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40059</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39903</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39751</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39605</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39469</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39344</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39230</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39127</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39033</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38944</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38855</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38762</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38661</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38548</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38421</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38278</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0602</X>
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<UT type="prediction"><UT1-UTC>0.38123</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37962</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37802</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0647</X>
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<UT type="prediction"><UT1-UTC>0.37652</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0662</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.37517</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0677</X>
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<UT type="prediction"><UT1-UTC>0.37399</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0693</X>
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<UT type="prediction"><UT1-UTC>0.37292</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37191</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0724</X>
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<UT type="prediction"><UT1-UTC>0.37090</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0740</X>
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<UT type="prediction"><UT1-UTC>0.36985</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0755</X>
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<UT type="prediction"><UT1-UTC>0.36877</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36765</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36654</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0803</X>
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<UT type="prediction"><UT1-UTC>0.36546</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36445</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0836</X>
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<UT type="prediction"><UT1-UTC>0.36354</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0852</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36274</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36206</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36149</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36102</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36061</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36022</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35982</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35934</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35877</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35807</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35723</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35628</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35524</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35418</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35317</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35227</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35151</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35088</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1150</X>
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<UT type="prediction"><UT1-UTC>0.35032</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34978</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34919</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34855</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34786</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1232</X>
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<UT type="prediction"><UT1-UTC>0.34717</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1249</X>
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<UT type="prediction"><UT1-UTC>0.34652</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1265</X>
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<UT type="prediction"><UT1-UTC>0.34594</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1281</X>
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<UT type="prediction"><UT1-UTC>0.34546</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1297</X>
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<UT type="prediction"><UT1-UTC>0.34510</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34488</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34478</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34480</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34490</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34505</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34522</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34535</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34540</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34534</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34515</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34484</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34441</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34391</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34339</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34290</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34250</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34217</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34190</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34161</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34124</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34074</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34013</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33941</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33865</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33790</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33659</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33610</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33573</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33548</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33533</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33525</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1766</X>
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<UT type="prediction"><UT1-UTC>0.33517</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33484</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33450</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33399</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33334</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33257</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33172</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33082</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32996</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32846</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32778</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32709</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32531</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32416</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32289</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32156</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32022</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31888</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31763</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31652</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31547</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31445</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31350</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31256</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31160</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31050</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30920</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30776</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30618</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30455</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30282</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30105</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29928</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29751</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29588</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29441</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29308</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29184</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.29065</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28941</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28809</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28655</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28499</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28333</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28172</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.28020</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27877</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27749</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27340</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27235</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27127</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.27011</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26879</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26726</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.26549</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2019</X>
<Y>0.3486</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26363</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
<Y>0.3473</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2011</X>
<Y>0.3460</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25999</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2007</X>
<Y>0.3447</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25829</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2002</X>
<Y>0.3433</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25668</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1997</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25531</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1992</X>
<Y>0.3407</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1987</X>
<Y>0.3395</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1982</X>
<Y>0.3382</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25126</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1976</X>
<Y>0.3369</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24971</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1970</X>
<Y>0.3356</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24803</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1963</X>
<Y>0.3344</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24624</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1957</X>
<Y>0.3331</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24442</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1950</X>
<Y>0.3319</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24260</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1943</X>
<Y>0.3307</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24081</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1936</X>
<Y>0.3295</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23925</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1929</X>
<Y>0.3283</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1921</X>
<Y>0.3271</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23641</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1913</X>
<Y>0.3259</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23514</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1905</X>
<Y>0.3247</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23390</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1897</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23259</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1888</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23124</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1880</X>
<Y>0.3213</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22978</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1871</X>
<Y>0.3202</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22820</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1862</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22645</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1853</X>
<Y>0.3180</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22455</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1843</X>
<Y>0.3169</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22242</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1834</X>
<Y>0.3159</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22015</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1824</X>
<Y>0.3148</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21785</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1814</X>
<Y>0.3138</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21566</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1804</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21353</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1793</X>
<Y>0.3118</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21145</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1783</X>
<Y>0.3108</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20958</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1772</X>
<Y>0.3099</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20769</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1761</X>
<Y>0.3089</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20595</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1750</X>
<Y>0.3080</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20422</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1739</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20241</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1728</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20053</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1716</X>
<Y>0.3053</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19857</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1705</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19653</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1693</X>
<Y>0.3036</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19452</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1681</X>
<Y>0.3028</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19262</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1669</X>
<Y>0.3020</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19083</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1657</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18909</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1644</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18762</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1632</X>
<Y>0.2997</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18618</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1619</X>
<Y>0.2990</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18474</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1607</X>
<Y>0.2983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18330</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1594</X>
<Y>0.2976</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18190</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1581</X>
<Y>0.2969</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18050</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1568</X>
<Y>0.2963</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17899</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1555</X>
<Y>0.2957</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17739</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1542</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17577</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1529</X>
<Y>0.2945</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17407</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1515</X>
<Y>0.2939</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17212</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58087</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1502</X>
<Y>0.2934</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17009</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1488</X>
<Y>0.2928</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16805</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1475</X>
<Y>0.2923</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16604</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1461</X>
<Y>0.2919</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16419</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1448</X>
<Y>0.2914</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16249</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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