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<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>57811</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0087</X>
<Y>0.3189</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.52068</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>0.0081</X>
<Y>0.3205</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51885</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>0.0075</X>
<Y>0.3220</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51691</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>0.0070</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51496</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>0.0065</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51305</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>0.0060</X>
<Y>0.3267</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.51125</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>0.0055</X>
<Y>0.3282</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50958</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>0.0051</X>
<Y>0.3298</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50802</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>0.0047</X>
<Y>0.3314</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50654</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>0.0044</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50507</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>0.0040</X>
<Y>0.3346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50358</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>0.0037</X>
<Y>0.3362</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50200</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>0.0035</X>
<Y>0.3378</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.50032</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>0.0032</X>
<Y>0.3394</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49857</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>0.0030</X>
<Y>0.3410</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49677</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>0.0028</X>
<Y>0.3426</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49496</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>0.0027</X>
<Y>0.3442</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49319</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>0.0026</X>
<Y>0.3458</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49148</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>0.0025</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48984</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>0.0024</X>
<Y>0.3491</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48830</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>0.0024</X>
<Y>0.3507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48683</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>0.0024</X>
<Y>0.3523</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48543</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>0.0024</X>
<Y>0.3539</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48406</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>0.0025</X>
<Y>0.3556</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48267</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>0.0026</X>
<Y>0.3572</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48124</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>0.0027</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47970</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>0.0029</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47802</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>0.0031</X>
<Y>0.3620</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47618</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>0.0033</X>
<Y>0.3637</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47415</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>0.0035</X>
<Y>0.3653</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47199</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>0.0038</X>
<Y>0.3669</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46976</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>0.0041</X>
<Y>0.3685</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46755</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>0.0045</X>
<Y>0.3701</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46545</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>0.0048</X>
<Y>0.3717</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46350</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>0.0052</X>
<Y>0.3733</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46169</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57846</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.3749</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46000</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>0.0061</X>
<Y>0.3764</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45837</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>0.0066</X>
<Y>0.3780</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45675</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>0.0071</X>
<Y>0.3796</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45508</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>0.0077</X>
<Y>0.3811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45335</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>0.0082</X>
<Y>0.3827</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45154</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57852</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0088</X>
<Y>0.3842</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44969</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>57853</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0095</X>
<Y>0.3858</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44782</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>57854</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0101</X>
<Y>0.3873</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>57855</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0108</X>
<Y>0.3888</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>57856</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0115</X>
<Y>0.3903</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44256</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57857</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0123</X>
<Y>0.3918</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44101</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57858</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0130</X>
<Y>0.3933</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43956</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57859</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0138</X>
<Y>0.3948</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57860</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0146</X>
<Y>0.3962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57861</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0155</X>
<Y>0.3977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43566</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>57862</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0164</X>
<Y>0.3991</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57863</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0173</X>
<Y>0.4005</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43302</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>57864</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0182</X>
<Y>0.4019</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43156</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>57865</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0191</X>
<Y>0.4033</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42994</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57866</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0201</X>
<Y>0.4047</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57867</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0211</X>
<Y>0.4061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42623</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57868</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0221</X>
<Y>0.4074</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42420</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57869</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0232</X>
<Y>0.4088</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42216</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57870</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0243</X>
<Y>0.4101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42019</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>57871</MJD>
</time>
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<UT type="prediction"><UT1-UTC>0.41836</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41670</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41519</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41377</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.41240</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.41101</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40957</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.40809</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40657</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40505</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40356</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40214</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.40082</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39961</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39851</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39752</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.39661</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39575</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39489</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39399</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39301</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39191</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39066</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38927</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38779</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38624</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38471</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38329</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38201</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.38090</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37992</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37899</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37807</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37711</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37610</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37508</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37405</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37306</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37214</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37132</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37060</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37001</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36953</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36914</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36881</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36851</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36818</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36778</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36728</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36665</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36589</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36501</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36405</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36306</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36212</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36129</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36060</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36004</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1152</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35955</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57930</MJD>
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<dataEOP><pole type="prediction"><X>0.1169</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35906</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35853</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35794</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35730</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35665</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35602</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35546</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35498</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35461</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35436</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35421</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35415</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35415</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35417</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35417</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35410</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35393</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35363</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35318</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35262</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35196</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35126</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35058</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34996</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34944</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34903</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34868</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34834</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34794</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34745</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34687</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34624</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34560</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34501</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34450</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34410</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34382</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34365</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34359</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34361</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34367</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34373</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34375</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34369</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34351</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34319</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34274</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34217</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34152</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34084</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34017</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33898</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33844</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33788</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33724</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33648</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33458</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33352</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1971</X>
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<UT type="prediction"><UT1-UTC>0.33247</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
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<dataEOP><pole type="prediction"><X>0.1978</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33149</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57992</MJD>
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<dataEOP><pole type="prediction"><X>0.1985</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33063</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57993</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1992</X>
<Y>0.4000</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32991</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57994</MJD>
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<dataEOP><pole type="prediction"><X>0.1998</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32933</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57995</MJD>
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<dataEOP><pole type="prediction"><X>0.2004</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32888</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57996</MJD>
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<dataEOP><pole type="prediction"><X>0.2010</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32853</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57997</MJD>
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<dataEOP><pole type="prediction"><X>0.2015</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32821</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57998</MJD>
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<dataEOP><pole type="prediction"><X>0.2021</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32788</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2026</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32747</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58000</MJD>
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<dataEOP><pole type="prediction"><X>0.2030</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32692</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58001</MJD>
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<dataEOP><pole type="prediction"><X>0.2035</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32621</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58002</MJD>
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<dataEOP><pole type="prediction"><X>0.2039</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32534</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58003</MJD>
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<dataEOP><pole type="prediction"><X>0.2043</X>
<Y>0.3862</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32430</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58004</MJD>
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<dataEOP><pole type="prediction"><X>0.2046</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32313</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2049</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.32185</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2052</X>
<Y>0.3819</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32052</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2055</X>
<Y>0.3805</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31920</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2058</X>
<Y>0.3791</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31796</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>58009</MJD>
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<dataEOP><pole type="prediction"><X>0.2060</X>
<Y>0.3776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31681</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2062</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31568</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58011</MJD>
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<dataEOP><pole type="prediction"><X>0.2063</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31456</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2064</X>
<Y>0.3733</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31345</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2065</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31221</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58014</MJD>
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<dataEOP><pole type="prediction"><X>0.2066</X>
<Y>0.3704</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31078</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2067</X>
<Y>0.3689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30921</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2067</X>
<Y>0.3675</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30752</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58017</MJD>
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<dataEOP><pole type="prediction"><X>0.2067</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30570</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58018</MJD>
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<dataEOP><pole type="prediction"><X>0.2066</X>
<Y>0.3646</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30399</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58019</MJD>
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<dataEOP><pole type="prediction"><X>0.2066</X>
<Y>0.3631</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30237</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58020</MJD>
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<dataEOP><pole type="prediction"><X>0.2065</X>
<Y>0.3617</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30088</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2064</X>
<Y>0.3603</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29953</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2062</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29833</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2060</X>
<Y>0.3574</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29724</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58024</MJD>
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<dataEOP><pole type="prediction"><X>0.2058</X>
<Y>0.3559</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29623</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58025</MJD>
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<dataEOP><pole type="prediction"><X>0.2056</X>
<Y>0.3545</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29527</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58026</MJD>
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<dataEOP><pole type="prediction"><X>0.2053</X>
<Y>0.3531</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29430</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2050</X>
<Y>0.3516</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29322</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2047</X>
<Y>0.3502</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29206</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2044</X>
<Y>0.3488</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29079</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2040</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28929</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2036</X>
<Y>0.3460</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28764</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2032</X>
<Y>0.3446</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28584</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3432</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28406</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2023</X>
<Y>0.3418</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28226</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2018</X>
<Y>0.3404</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28048</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2012</X>
<Y>0.3390</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27885</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2007</X>
<Y>0.3377</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27733</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2001</X>
<Y>0.3363</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27583</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1995</X>
<Y>0.3350</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27432</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1989</X>
<Y>0.3336</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27273</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1982</X>
<Y>0.3323</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27096</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1975</X>
<Y>0.3310</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26907</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1968</X>
<Y>0.3297</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26702</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.3284</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26490</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1954</X>
<Y>0.3271</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26278</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1946</X>
<Y>0.3259</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26070</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1938</X>
<Y>0.3246</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25868</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1930</X>
<Y>0.3234</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25676</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1921</X>
<Y>0.3221</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25501</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1913</X>
<Y>0.3209</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25332</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25165</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25002</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24836</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24664</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24473</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24261</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24034</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23794</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23551</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23304</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23062</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22828</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22603</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22396</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22206</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22026</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21851</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21676</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21499</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21318</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21124</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20937</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20749</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20573</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20410</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20259</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20124</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.20002</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.19895</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.19782</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19668</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19546</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19417</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.19282</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.19130</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.18963</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1465</X>
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<UT type="prediction"><UT1-UTC>0.18776</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.18588</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.18409</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1421</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18239</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1407</X>
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<UT type="prediction"><UT1-UTC>0.18084</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.17936</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1377</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17809</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.17679</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.17541</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.17398</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.17241</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.17078</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1287</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16915</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.16759</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.16611</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.16473</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.16359</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.16249</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.16161</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.16072</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1166</X>
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<UT type="prediction"><UT1-UTC>0.15983</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1151</X>
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<UT type="prediction"><UT1-UTC>0.15882</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.15772</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1120</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15649</UT1-UTC>
</UT>
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<UT type="prediction"><UT1-UTC>0.12650</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.12503</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.12371</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.12243</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.12140</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.12036</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.11687</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.09388</UT1-UTC>
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