<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers"><version><product>BulletinA</product>
<date>2019-02-28</date>
<volume>XXXII</volume>
<number>009</number>
</version>
<metaFileName/>
<headerLine><headerLineDate><sYear>Year</sYear>
<sMonth>Month</sMonth>
<sDay>Day</sDay>
<sTime>Time</sTime>
<sMJD>MJD</sMJD>
</headerLineDate>
<headerLineEOP><product source="BulletinA"><sX>X</sX>
<ssigma_X>sigma_X</ssigma_X>
<sY>Y</sY>
<ssigma_Y>sigma_Y</ssigma_Y>
<sUT1-UTC>UT1-UTC</sUT1-UTC>
<ssigma_UT1-UTC>sigma_UT1-UTC</ssigma_UT1-UTC>
<sdPsi>dPsi</sdPsi>
<ssigma_dPsi>sigma_dPsi</ssigma_dPsi>
<sdEpsilon>dEpsilon</sdEpsilon>
<ssigma_dEpsilon>sigma_dEpsilon</ssigma_dEpsilon>
<sdX>dX</sdX>
<ssigma_dX>sigma_dX</ssigma_dX>
<sdY>dY</sdY>
<ssigma_dY>sigma_dY</ssigma_dY>
</product>
</headerLineEOP>
<headerLineUnits><product source="BulletinA"><X>arcsec</X>
<sigma_X>arcsec</sigma_X>
<Y>arcsec</Y>
<sigma_Y>arcsec</sigma_Y>
<UT1-UTC>sec</UT1-UTC>
<sigma_UT1-UTC>sec</sigma_UT1-UTC>
<dPsi>marcsec</dPsi>
<sigma_dPsi>marcsec</sigma_dPsi>
<dEpsilon>marcsec</dEpsilon>
<sigma_dEpsilon>marcsec</sigma_dEpsilon>
<dX>marcsec</dX>
<sigma_dX>marcsec</sigma_dX>
<dY>marcsec</dY>
<sigma_dY>marcsec</sigma_dY>
</product>
</headerLineUnits>
</headerLine>
<data product="BulletinA" source="BulletinA"><timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58516</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-106.68</dPsi>
<sigma_dPsi>0.55</sigma_dPsi>
<dEpsilon>-7.94</dEpsilon>
<sigma_dEpsilon>0.14</sigma_dEpsilon>
<dX>0.230</dX>
<sigma_dX>0.219</sigma_dX>
<dY>-0.149</dY>
<sigma_dY>0.137</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58517</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-106.23</dPsi>
<sigma_dPsi>0.68</sigma_dPsi>
<dEpsilon>-8.05</dEpsilon>
<sigma_dEpsilon>0.18</sigma_dEpsilon>
<dX>0.255</dX>
<sigma_dX>0.271</sigma_dX>
<dY>-0.166</dY>
<sigma_dY>0.179</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58518</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-105.83</dPsi>
<sigma_dPsi>0.68</sigma_dPsi>
<dEpsilon>-8.07</dEpsilon>
<sigma_dEpsilon>0.18</sigma_dEpsilon>
<dX>0.287</dX>
<sigma_dX>0.271</sigma_dX>
<dY>-0.185</dY>
<sigma_dY>0.179</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58519</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-105.62</dPsi>
<sigma_dPsi>0.85</sigma_dPsi>
<dEpsilon>-7.95</dEpsilon>
<sigma_dEpsilon>0.22</sigma_dEpsilon>
<dX>0.314</dX>
<sigma_dX>0.337</sigma_dX>
<dY>-0.203</dY>
<sigma_dY>0.218</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58520</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-105.63</dPsi>
<sigma_dPsi>0.82</sigma_dPsi>
<dEpsilon>-7.82</dEpsilon>
<sigma_dEpsilon>0.22</sigma_dEpsilon>
<dX>0.327</dX>
<sigma_dX>0.327</sigma_dX>
<dY>-0.215</dY>
<sigma_dY>0.224</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58521</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-105.78</dPsi>
<sigma_dPsi>0.82</sigma_dPsi>
<dEpsilon>-7.82</dEpsilon>
<sigma_dEpsilon>0.22</sigma_dEpsilon>
<dX>0.328</dX>
<sigma_dX>0.327</sigma_dX>
<dY>-0.220</dY>
<sigma_dY>0.224</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58522</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-105.93</dPsi>
<sigma_dPsi>0.82</sigma_dPsi>
<dEpsilon>-7.94</dEpsilon>
<sigma_dEpsilon>0.22</sigma_dEpsilon>
<dX>0.322</dX>
<sigma_dX>0.327</sigma_dX>
<dY>-0.218</dY>
<sigma_dY>0.224</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58523</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-105.99</dPsi>
<sigma_dPsi>0.56</sigma_dPsi>
<dEpsilon>-8.07</dEpsilon>
<sigma_dEpsilon>0.24</sigma_dEpsilon>
<dX>0.315</dX>
<sigma_dX>0.221</sigma_dX>
<dY>-0.209</dY>
<sigma_dY>0.243</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58524</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-105.97</dPsi>
<sigma_dPsi>0.67</sigma_dPsi>
<dEpsilon>-8.17</dEpsilon>
<sigma_dEpsilon>0.19</sigma_dEpsilon>
<dX>0.310</dX>
<sigma_dX>0.266</sigma_dX>
<dY>-0.196</dY>
<sigma_dY>0.192</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58525</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-105.98</dPsi>
<sigma_dPsi>0.67</sigma_dPsi>
<dEpsilon>-8.27</dEpsilon>
<sigma_dEpsilon>0.19</sigma_dEpsilon>
<dX>0.305</dX>
<sigma_dX>0.266</sigma_dX>
<dY>-0.179</dY>
<sigma_dY>0.192</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58526</MJD>
</time>
<dataEOP><nutation type="rapid"><dPsi>-106.04</dPsi>
<sigma_dPsi>0.77</sigma_dPsi>
<dEpsilon>-8.40</dEpsilon>
<sigma_dEpsilon>0.12</sigma_dEpsilon>
<dX>0.300</dX>
<sigma_dX>0.305</sigma_dX>
<dY>-0.161</dY>
<sigma_dY>0.124</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>58536</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03670</X>
<sigma_X>.00009</sigma_X>
<Y>0.33590</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.082482</UT1-UTC>
<sigma_UT1-UTC>0.000015</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>58537</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03583</X>
<sigma_X>.00009</sigma_X>
<Y>0.33738</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.083984</UT1-UTC>
<sigma_UT1-UTC>0.000012</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>58538</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03534</X>
<sigma_X>.00009</sigma_X>
<Y>0.33842</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.085374</UT1-UTC>
<sigma_UT1-UTC>0.000012</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58539</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03542</X>
<sigma_X>.00009</sigma_X>
<Y>0.33927</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.086540</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58540</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03580</X>
<sigma_X>.00009</sigma_X>
<Y>0.34025</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.087454</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>58541</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03643</X>
<sigma_X>.00010</sigma_X>
<Y>0.34134</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.088146</UT1-UTC>
<sigma_UT1-UTC>0.000008</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58542</MJD>
</time>
<dataEOP><pole type="rapid"><X>0.03733</X>
<sigma_X>.00009</sigma_X>
<Y>0.34246</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid"><UT1-UTC>-0.088721</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>58543</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0381</X>
<Y>0.3439</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08924</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>58544</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0387</X>
<Y>0.3453</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.08972</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>58545</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0390</X>
<Y>0.3467</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09017</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>58546</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0391</X>
<Y>0.3481</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09065</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>58547</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0391</X>
<Y>0.3495</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09121</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>58548</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0391</X>
<Y>0.3508</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09188</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>58549</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0393</X>
<Y>0.3521</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09268</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>58550</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0396</X>
<Y>0.3534</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09361</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>58551</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0400</X>
<Y>0.3546</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09460</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>58552</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0403</X>
<Y>0.3559</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09562</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>58553</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0406</X>
<Y>0.3573</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09664</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>58554</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0409</X>
<Y>0.3587</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09764</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>58555</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0411</X>
<Y>0.3601</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09857</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>58556</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0413</X>
<Y>0.3615</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.09942</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>58557</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0415</X>
<Y>0.3629</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10023</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>58558</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0417</X>
<Y>0.3642</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10106</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>58559</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0420</X>
<Y>0.3654</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10198</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>58560</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0424</X>
<Y>0.3667</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10310</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>58561</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0428</X>
<Y>0.3679</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10448</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>58562</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0433</X>
<Y>0.3691</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10611</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>58563</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0438</X>
<Y>0.3704</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10793</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>58564</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0442</X>
<Y>0.3716</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.10982</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>58565</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0447</X>
<Y>0.3729</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11167</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>58566</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0452</X>
<Y>0.3742</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11338</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>58567</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0458</X>
<Y>0.3754</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11489</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>58568</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0463</X>
<Y>0.3766</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11618</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>58569</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0469</X>
<Y>0.3778</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11731</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>58570</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0476</X>
<Y>0.3790</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11832</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>58571</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0482</X>
<Y>0.3802</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.11928</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>58572</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0489</X>
<Y>0.3814</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12023</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>58573</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0496</X>
<Y>0.3826</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12123</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>58574</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0503</X>
<Y>0.3838</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12231</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>58575</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0511</X>
<Y>0.3850</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12349</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>58576</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0518</X>
<Y>0.3861</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12479</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>58577</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0526</X>
<Y>0.3873</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12618</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>58578</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0534</X>
<Y>0.3884</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12764</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>58579</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0543</X>
<Y>0.3895</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.12913</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>58580</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0551</X>
<Y>0.3906</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13059</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>58581</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0560</X>
<Y>0.3917</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13199</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>58582</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0569</X>
<Y>0.3928</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13328</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>58583</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0578</X>
<Y>0.3939</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13446</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>58584</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0588</X>
<Y>0.3950</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>58585</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0597</X>
<Y>0.3960</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13654</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>58586</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0607</X>
<Y>0.3970</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13756</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>58587</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0617</X>
<Y>0.3980</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>58588</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0627</X>
<Y>0.3990</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.13991</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>58589</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0638</X>
<Y>0.4000</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.14136</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>58590</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0649</X>
<Y>0.4010</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.14299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>58591</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0660</X>
<Y>0.4019</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.14473</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>58592</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0671</X>
<Y>0.4029</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.14646</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>58593</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0682</X>
<Y>0.4038</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.14809</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>58594</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0693</X>
<Y>0.4047</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.14952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>58595</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0705</X>
<Y>0.4056</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15073</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>58596</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0717</X>
<Y>0.4064</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15173</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>58597</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0729</X>
<Y>0.4073</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15254</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>58598</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0741</X>
<Y>0.4081</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15325</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>58599</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0754</X>
<Y>0.4089</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15392</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>58600</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0766</X>
<Y>0.4097</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15460</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>58601</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0779</X>
<Y>0.4105</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15534</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>58602</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0792</X>
<Y>0.4113</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15617</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>58603</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0805</X>
<Y>0.4120</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15712</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>58604</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0818</X>
<Y>0.4127</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15817</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>58605</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0831</X>
<Y>0.4134</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.15931</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>58606</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0845</X>
<Y>0.4141</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16049</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>58607</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0859</X>
<Y>0.4147</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16167</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>58608</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0872</X>
<Y>0.4154</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16279</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>58609</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0886</X>
<Y>0.4160</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16380</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>58610</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0900</X>
<Y>0.4166</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16466</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>58611</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0914</X>
<Y>0.4171</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16539</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>58612</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0929</X>
<Y>0.4177</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16603</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>58613</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0943</X>
<Y>0.4182</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16663</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>58614</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0958</X>
<Y>0.4187</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16728</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>58615</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0972</X>
<Y>0.4192</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16806</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>58616</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0987</X>
<Y>0.4197</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.16900</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>58617</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1002</X>
<Y>0.4201</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17011</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>58618</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1017</X>
<Y>0.4205</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17134</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>58619</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1032</X>
<Y>0.4209</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17260</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>58620</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1047</X>
<Y>0.4213</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17379</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>58621</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1062</X>
<Y>0.4217</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17482</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>58622</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1077</X>
<Y>0.4220</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17564</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>58623</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1093</X>
<Y>0.4223</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17624</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>58624</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1108</X>
<Y>0.4226</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17664</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>58625</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1123</X>
<Y>0.4228</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17691</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>58626</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1139</X>
<Y>0.4230</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17711</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>58627</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1154</X>
<Y>0.4233</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17728</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>58628</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1170</X>
<Y>0.4234</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17750</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>58629</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1186</X>
<Y>0.4236</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17778</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>58630</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1201</X>
<Y>0.4237</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17816</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>58631</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1217</X>
<Y>0.4239</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17863</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>58632</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1233</X>
<Y>0.4239</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17918</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>58633</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1249</X>
<Y>0.4240</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17978</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>58634</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1264</X>
<Y>0.4240</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18040</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>58635</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1280</X>
<Y>0.4241</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18097</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>58636</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1296</X>
<Y>0.4241</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18145</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>58637</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1312</X>
<Y>0.4240</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18179</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>58638</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1328</X>
<Y>0.4240</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18200</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>58639</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1343</X>
<Y>0.4239</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18209</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>58640</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1359</X>
<Y>0.4238</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18213</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>58641</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1375</X>
<Y>0.4237</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18219</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>58642</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1391</X>
<Y>0.4235</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18237</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>58643</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1406</X>
<Y>0.4233</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18269</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>58644</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1422</X>
<Y>0.4231</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18316</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>58645</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1438</X>
<Y>0.4229</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>58646</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1453</X>
<Y>0.4227</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18437</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>58647</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1469</X>
<Y>0.4224</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>58648</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1484</X>
<Y>0.4221</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18542</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>58649</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1500</X>
<Y>0.4218</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18570</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>58650</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1515</X>
<Y>0.4214</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18577</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>58651</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1531</X>
<Y>0.4211</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18568</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>58652</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1546</X>
<Y>0.4207</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18544</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>58653</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1561</X>
<Y>0.4203</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>58654</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1576</X>
<Y>0.4198</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18477</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>58655</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1591</X>
<Y>0.4194</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18444</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>58656</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1606</X>
<Y>0.4189</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18418</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>58657</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1621</X>
<Y>0.4184</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18401</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>58658</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1636</X>
<Y>0.4178</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18395</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>58659</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1650</X>
<Y>0.4173</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18398</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>58660</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1665</X>
<Y>0.4167</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18408</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>58661</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1679</X>
<Y>0.4161</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18421</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>58662</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1694</X>
<Y>0.4155</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18433</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>58663</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1708</X>
<Y>0.4149</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18440</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>58664</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1722</X>
<Y>0.4142</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>58665</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1736</X>
<Y>0.4135</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18423</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>58666</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1749</X>
<Y>0.4128</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18397</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>58667</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1763</X>
<Y>0.4121</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18365</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>58668</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1777</X>
<Y>0.4113</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18335</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>58669</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1790</X>
<Y>0.4106</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18316</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>58670</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1803</X>
<Y>0.4098</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18313</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>58671</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1816</X>
<Y>0.4090</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>58672</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1829</X>
<Y>0.4081</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18358</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>58673</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1842</X>
<Y>0.4073</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18393</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>58674</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1854</X>
<Y>0.4064</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18424</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>58675</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1867</X>
<Y>0.4055</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18445</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>58676</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1879</X>
<Y>0.4046</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18448</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>58677</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1891</X>
<Y>0.4037</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18433</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>58678</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1903</X>
<Y>0.4028</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18400</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>58679</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1915</X>
<Y>0.4018</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18353</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>58680</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1926</X>
<Y>0.4008</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18298</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>58681</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1937</X>
<Y>0.3998</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18240</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>58682</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1948</X>
<Y>0.3988</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18184</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>58683</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1959</X>
<Y>0.3978</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18135</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>58684</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1970</X>
<Y>0.3967</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18096</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>58685</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.3956</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18068</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>58686</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3946</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18051</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>58687</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2001</X>
<Y>0.3934</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18042</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>58688</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2011</X>
<Y>0.3923</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18039</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>58689</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2020</X>
<Y>0.3912</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18037</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>58690</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2030</X>
<Y>0.3901</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>58691</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2039</X>
<Y>0.3889</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18022</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>58692</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2048</X>
<Y>0.3877</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18002</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>58693</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2056</X>
<Y>0.3865</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17973</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>58694</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2065</X>
<Y>0.3853</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17937</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>58695</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2073</X>
<Y>0.3841</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17902</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>58696</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2081</X>
<Y>0.3829</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17876</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>58697</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2089</X>
<Y>0.3816</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17869</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>58698</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2096</X>
<Y>0.3804</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17884</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>58699</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2103</X>
<Y>0.3791</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17918</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>58700</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2110</X>
<Y>0.3779</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17964</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>58701</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2117</X>
<Y>0.3766</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>58702</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2123</X>
<Y>0.3753</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18045</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>58703</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2130</X>
<Y>0.3740</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18063</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>58704</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2136</X>
<Y>0.3726</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18062</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>58705</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2141</X>
<Y>0.3713</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18043</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>58706</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2147</X>
<Y>0.3700</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>58707</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2152</X>
<Y>0.3686</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17968</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>58708</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2157</X>
<Y>0.3673</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17924</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>58709</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2161</X>
<Y>0.3659</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17882</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>58710</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2165</X>
<Y>0.3646</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17848</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>58711</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2170</X>
<Y>0.3632</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17824</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>58712</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2173</X>
<Y>0.3618</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17812</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>58713</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2177</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17812</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>58714</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2180</X>
<Y>0.3590</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17823</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>58715</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2183</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17840</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>58716</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2186</X>
<Y>0.3562</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17860</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>58717</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2188</X>
<Y>0.3548</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17878</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>58718</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2190</X>
<Y>0.3534</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17892</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>58719</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2192</X>
<Y>0.3520</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17898</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>58720</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2193</X>
<Y>0.3506</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17896</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>58721</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2195</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17888</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>58722</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2195</X>
<Y>0.3477</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17878</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>58723</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2196</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17875</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>58724</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2196</X>
<Y>0.3449</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17889</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>58725</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2197</X>
<Y>0.3435</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17926</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>58726</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2196</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.17986</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>58727</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2196</X>
<Y>0.3406</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18064</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>58728</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2195</X>
<Y>0.3392</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>58729</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2194</X>
<Y>0.3378</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>58730</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2193</X>
<Y>0.3363</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18279</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58731</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2191</X>
<Y>0.3349</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18311</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58732</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2189</X>
<Y>0.3335</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18321</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58733</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2187</X>
<Y>0.3321</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18311</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58734</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2184</X>
<Y>0.3307</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18290</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58735</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2182</X>
<Y>0.3293</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58736</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2179</X>
<Y>0.3279</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18240</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58737</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2175</X>
<Y>0.3265</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18225</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58738</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2172</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18222</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58739</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2168</X>
<Y>0.3237</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18232</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58740</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2163</X>
<Y>0.3223</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18257</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58741</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2159</X>
<Y>0.3209</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18296</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58742</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2154</X>
<Y>0.3195</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18344</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58743</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2149</X>
<Y>0.3182</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18398</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>58744</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2144</X>
<Y>0.3168</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18454</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58745</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2138</X>
<Y>0.3155</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18507</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58746</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2132</X>
<Y>0.3141</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18556</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>58747</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2126</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58748</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2120</X>
<Y>0.3115</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18637</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58749</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2113</X>
<Y>0.3101</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18676</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58750</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2106</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18721</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58751</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2099</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18782</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58752</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2091</X>
<Y>0.3063</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58753</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2084</X>
<Y>0.3050</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.18978</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58754</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2076</X>
<Y>0.3037</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.19115</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58755</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2067</X>
<Y>0.3025</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.19268</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58756</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2059</X>
<Y>0.3013</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.19426</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58757</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2050</X>
<Y>0.3000</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.19575</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58758</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2041</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.19706</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58759</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2032</X>
<Y>0.2976</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.19817</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58760</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2022</X>
<Y>0.2964</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.19908</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58761</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2013</X>
<Y>0.2953</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.19980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58762</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2003</X>
<Y>0.2941</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20043</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58763</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1992</X>
<Y>0.2930</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20104</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58764</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1982</X>
<Y>0.2919</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20171</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58765</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1971</X>
<Y>0.2908</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20246</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58766</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1960</X>
<Y>0.2897</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20334</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58767</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1949</X>
<Y>0.2886</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20438</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58768</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1938</X>
<Y>0.2875</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20556</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58769</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1926</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20681</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58770</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1914</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20809</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58771</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1902</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.20939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58772</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1890</X>
<Y>0.2835</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.21069</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58773</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1878</X>
<Y>0.2825</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.21196</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58774</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1865</X>
<Y>0.2816</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.21318</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58775</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1852</X>
<Y>0.2807</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.21432</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58776</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1839</X>
<Y>0.2798</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.21536</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58777</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1826</X>
<Y>0.2789</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.21637</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58778</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1813</X>
<Y>0.2780</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.21742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58779</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1799</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.21860</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58780</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1785</X>
<Y>0.2763</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.21999</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58781</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1772</X>
<Y>0.2755</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.22165</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58782</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1757</X>
<Y>0.2747</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.22354</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58783</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1743</X>
<Y>0.2740</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.22553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58784</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1729</X>
<Y>0.2732</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.22744</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58785</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1714</X>
<Y>0.2725</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.22914</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58786</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1700</X>
<Y>0.2718</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23056</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58787</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1685</X>
<Y>0.2711</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23171</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58788</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1670</X>
<Y>0.2705</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23266</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58789</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1655</X>
<Y>0.2699</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23351</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58790</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1639</X>
<Y>0.2692</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23435</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58791</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1624</X>
<Y>0.2687</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23519</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58792</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1608</X>
<Y>0.2681</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23601</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>58793</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1593</X>
<Y>0.2676</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23686</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58794</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1577</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23775</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58795</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1561</X>
<Y>0.2666</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23868</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58796</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1545</X>
<Y>0.2661</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.23964</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>58797</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1529</X>
<Y>0.2657</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24056</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>58798</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1513</X>
<Y>0.2653</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>58799</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1496</X>
<Y>0.2649</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24232</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>58800</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1480</X>
<Y>0.2645</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24309</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>58801</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1464</X>
<Y>0.2642</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>58802</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1447</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24435</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>58803</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1431</X>
<Y>0.2636</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24487</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>58804</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1414</X>
<Y>0.2633</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24525</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>58805</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1397</X>
<Y>0.2631</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24565</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>58806</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1380</X>
<Y>0.2629</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24621</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>58807</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1364</X>
<Y>0.2627</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24694</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>58808</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1347</X>
<Y>0.2625</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24796</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>58809</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1330</X>
<Y>0.2624</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.24922</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>58810</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1313</X>
<Y>0.2623</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25066</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>58811</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1296</X>
<Y>0.2622</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25217</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58812</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1279</X>
<Y>0.2622</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25362</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>58813</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1262</X>
<Y>0.2621</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25487</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>58814</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1245</X>
<Y>0.2621</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25589</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>58815</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1228</X>
<Y>0.2622</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25673</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>58816</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1211</X>
<Y>0.2622</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25743</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>58817</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1194</X>
<Y>0.2623</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25810</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>58818</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1177</X>
<Y>0.2624</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25879</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>58819</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1159</X>
<Y>0.2625</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.25953</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>58820</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1142</X>
<Y>0.2627</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.26037</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>58821</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1125</X>
<Y>0.2629</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.26136</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>58822</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1108</X>
<Y>0.2631</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.26248</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>58823</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1092</X>
<Y>0.2633</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.26364</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>58824</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1075</X>
<Y>0.2636</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.26485</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>58825</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1058</X>
<Y>0.2639</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.26610</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>58826</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1041</X>
<Y>0.2642</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.26730</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>58827</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1024</X>
<Y>0.2645</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.26848</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>58828</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1007</X>
<Y>0.2649</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.26953</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>58829</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0991</X>
<Y>0.2653</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27046</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>58830</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0974</X>
<Y>0.2657</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27125</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>58831</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0958</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27197</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>58832</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0941</X>
<Y>0.2666</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27265</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>58833</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0925</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27339</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>58834</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0909</X>
<Y>0.2676</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27435</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>58835</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0892</X>
<Y>0.2682</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>58836</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0876</X>
<Y>0.2688</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27683</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58837</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0860</X>
<Y>0.2694</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58838</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0845</X>
<Y>0.2700</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.27958</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58839</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0829</X>
<Y>0.2706</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28089</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58840</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0813</X>
<Y>0.2713</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28200</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58841</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0798</X>
<Y>0.2720</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28283</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58842</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0782</X>
<Y>0.2727</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28342</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58843</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0767</X>
<Y>0.2735</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28384</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58844</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0752</X>
<Y>0.2742</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28412</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58845</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0737</X>
<Y>0.2750</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28437</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58846</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0722</X>
<Y>0.2758</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28460</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58847</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0708</X>
<Y>0.2767</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28491</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2019</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58848</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0693</X>
<Y>0.2775</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28535</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58849</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0679</X>
<Y>0.2784</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28591</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58850</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0665</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28660</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58851</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0651</X>
<Y>0.2803</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28734</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58852</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0637</X>
<Y>0.2812</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28813</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58853</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0623</X>
<Y>0.2822</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28897</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58854</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0610</X>
<Y>0.2832</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.28977</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58855</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0596</X>
<Y>0.2842</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29048</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58856</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0583</X>
<Y>0.2852</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29111</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58857</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0570</X>
<Y>0.2863</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29168</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58858</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0558</X>
<Y>0.2874</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29217</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58859</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0545</X>
<Y>0.2885</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58860</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0533</X>
<Y>0.2896</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58861</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0521</X>
<Y>0.2907</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58862</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0509</X>
<Y>0.2919</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29488</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58863</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0497</X>
<Y>0.2931</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29601</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58864</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0486</X>
<Y>0.2943</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58865</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0475</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58866</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0464</X>
<Y>0.2967</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.29992</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58867</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0453</X>
<Y>0.2979</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30102</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58868</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0443</X>
<Y>0.2992</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30192</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58869</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0433</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30256</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58870</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0423</X>
<Y>0.3018</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58871</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0413</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58872</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0403</X>
<Y>0.3044</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30351</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58873</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0394</X>
<Y>0.3058</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30372</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58874</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0385</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58875</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0376</X>
<Y>0.3085</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30431</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58876</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0368</X>
<Y>0.3099</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30480</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58877</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0360</X>
<Y>0.3113</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30534</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58878</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0352</X>
<Y>0.3127</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30585</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58879</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0344</X>
<Y>0.3141</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30637</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58880</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0337</X>
<Y>0.3156</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30692</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58881</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0330</X>
<Y>0.3170</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30744</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58882</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0323</X>
<Y>0.3185</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30791</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58883</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0317</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30837</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58884</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0310</X>
<Y>0.3214</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30876</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58885</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0305</X>
<Y>0.3229</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58886</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0299</X>
<Y>0.3244</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30935</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58887</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0294</X>
<Y>0.3259</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.30967</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58888</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0289</X>
<Y>0.3275</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31016</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58889</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0284</X>
<Y>0.3290</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31091</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58890</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0279</X>
<Y>0.3305</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31192</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58891</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0275</X>
<Y>0.3321</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31311</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58892</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0271</X>
<Y>0.3336</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31436</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58893</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0268</X>
<Y>0.3352</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31556</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>58894</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0265</X>
<Y>0.3368</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>58895</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0262</X>
<Y>0.3383</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31739</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>58896</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0259</X>
<Y>0.3399</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31803</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>58897</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0257</X>
<Y>0.3415</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31850</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58898</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0255</X>
<Y>0.3431</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>58899</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0253</X>
<Y>0.3447</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>58900</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0251</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31939</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>58901</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0250</X>
<Y>0.3479</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.31980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>58902</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0250</X>
<Y>0.3495</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32031</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>58903</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0249</X>
<Y>0.3511</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32090</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58904</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0249</X>
<Y>0.3527</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32157</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58905</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0249</X>
<Y>0.3543</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32232</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>58906</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0250</X>
<Y>0.3559</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32315</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2020</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58907</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0251</X>
<Y>0.3575</Y>
</pole>
<UT type="prediction"><UT1-UTC>-0.32405</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>