<?xml version="1.0" encoding="UTF-8"?><EOP xmlns="http://www.iers.org/2003/schema/iers">
<version>
<product>BulletinA</product>
<date>2015-03-26</date>
<volume>XXVIII</volume>
<number>013</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>2015</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>57081</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-87.54</dPsi>
<sigma_dPsi>0.15</sigma_dPsi>
<dEpsilon>-11.38</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.081</dX>
<sigma_dX>0.060</sigma_dX>
<dY>0.248</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57082</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-87.64</dPsi>
<sigma_dPsi>0.15</sigma_dPsi>
<dEpsilon>-11.41</dEpsilon>
<sigma_dEpsilon>0.06</sigma_dEpsilon>
<dX>0.074</dX>
<sigma_dX>0.060</sigma_dX>
<dY>0.211</dY>
<sigma_dY>0.060</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>57083</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-87.60</dPsi>
<sigma_dPsi>0.11</sigma_dPsi>
<dEpsilon>-11.46</dEpsilon>
<sigma_dEpsilon>0.05</sigma_dEpsilon>
<dX>0.061</dX>
<sigma_dX>0.044</sigma_dX>
<dY>0.177</dY>
<sigma_dY>0.050</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>57084</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-87.43</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.53</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.040</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.133</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57085</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-87.24</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.53</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.021</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.112</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>57086</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-87.10</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.49</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.012</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.105</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57087</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-87.00</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.53</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.015</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.092</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>57088</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-86.95</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.69</dEpsilon>
<sigma_dEpsilon>0.03</sigma_dEpsilon>
<dX>0.015</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.081</dY>
<sigma_dY>0.030</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57089</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-86.94</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-11.89</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.008</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.079</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57090</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-86.94</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-12.04</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.011</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.076</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57091</MJD>
</time>
<dataEOP>
<nutation type="rapid">
<dPsi>-87.00</dPsi>
<sigma_dPsi>0.30</sigma_dPsi>
<dEpsilon>-12.15</dEpsilon>
<sigma_dEpsilon>0.15</sigma_dEpsilon>
<dX>0.027</dX>
<sigma_dX>0.119</sigma_dX>
<dY>0.066</dY>
<sigma_dY>0.150</sigma_dY>
</nutation>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57101</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.00465</X>
<sigma_X>.00009</sigma_X>
<Y>0.37954</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.554770</UT1-UTC>
<sigma_UT1-UTC>0.000013</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57102</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.00620</X>
<sigma_X>.00009</sigma_X>
<Y>0.38124</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.557051</UT1-UTC>
<sigma_UT1-UTC>0.000015</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57103</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.00758</X>
<sigma_X>.00009</sigma_X>
<Y>0.38324</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.559267</UT1-UTC>
<sigma_UT1-UTC>0.000012</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57104</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.00852</X>
<sigma_X>.00009</sigma_X>
<Y>0.38522</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.561313</UT1-UTC>
<sigma_UT1-UTC>0.000010</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57105</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.00933</X>
<sigma_X>.00009</sigma_X>
<Y>0.38705</Y>
<sigma_Y>.00009</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.563189</UT1-UTC>
<sigma_UT1-UTC>0.000011</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57106</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.01009</X>
<sigma_X>.00009</sigma_X>
<Y>0.38852</Y>
<sigma_Y>.00010</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.564935</UT1-UTC>
<sigma_UT1-UTC>0.000065</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57107</MJD>
</time>
<dataEOP>
<pole type="rapid">
<X>0.01065</X>
<sigma_X>.00009</sigma_X>
<Y>0.38975</Y>
<sigma_Y>.00010</sigma_Y>
</pole>
<UT type="rapid">
<UT1-UTC>-0.566557</UT1-UTC>
<sigma_UT1-UTC>0.000055</sigma_UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57108</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0113</X>
<Y>0.3909</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.56804</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57109</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0120</X>
<Y>0.3921</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.56943</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57110</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0128</X>
<Y>0.3934</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57080</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57111</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0137</X>
<Y>0.3949</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57215</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57112</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0145</X>
<Y>0.3964</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57351</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57113</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0153</X>
<Y>0.3979</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57488</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57114</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0161</X>
<Y>0.3993</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57628</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57115</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0169</X>
<Y>0.4007</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57772</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57116</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0177</X>
<Y>0.4021</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.57917</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>57117</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0186</X>
<Y>0.4034</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58065</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>06</dateDay>
<MJD>57118</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0195</X>
<Y>0.4046</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58215</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>57119</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0205</X>
<Y>0.4059</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58365</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>08</dateDay>
<MJD>57120</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0215</X>
<Y>0.4071</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58514</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>09</dateDay>
<MJD>57121</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0225</X>
<Y>0.4084</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58659</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>10</dateDay>
<MJD>57122</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0236</X>
<Y>0.4097</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58802</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>11</dateDay>
<MJD>57123</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0246</X>
<Y>0.4110</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.58946</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>12</dateDay>
<MJD>57124</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0257</X>
<Y>0.4122</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59095</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>13</dateDay>
<MJD>57125</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0268</X>
<Y>0.4134</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59258</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>14</dateDay>
<MJD>57126</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0279</X>
<Y>0.4146</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59436</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>15</dateDay>
<MJD>57127</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0290</X>
<Y>0.4158</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59631</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>16</dateDay>
<MJD>57128</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0302</X>
<Y>0.4170</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.59837</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>17</dateDay>
<MJD>57129</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0314</X>
<Y>0.4182</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60047</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>18</dateDay>
<MJD>57130</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0326</X>
<Y>0.4193</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60251</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>19</dateDay>
<MJD>57131</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0339</X>
<Y>0.4204</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60441</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>20</dateDay>
<MJD>57132</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0351</X>
<Y>0.4216</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60611</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>21</dateDay>
<MJD>57133</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0364</X>
<Y>0.4227</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60760</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>22</dateDay>
<MJD>57134</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0377</X>
<Y>0.4238</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.60891</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57135</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0390</X>
<Y>0.4248</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57136</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0404</X>
<Y>0.4259</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61120</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57137</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0417</X>
<Y>0.4269</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61228</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57138</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0431</X>
<Y>0.4279</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61338</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57139</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0445</X>
<Y>0.4289</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61453</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>28</dateDay>
<MJD>57140</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0460</X>
<Y>0.4298</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61573</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>29</dateDay>
<MJD>57141</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0474</X>
<Y>0.4308</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61699</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>57142</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0489</X>
<Y>0.4317</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61829</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>01</dateDay>
<MJD>57143</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0504</X>
<Y>0.4326</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.61962</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>02</dateDay>
<MJD>57144</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0519</X>
<Y>0.4335</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62094</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>03</dateDay>
<MJD>57145</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0534</X>
<Y>0.4344</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62223</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>04</dateDay>
<MJD>57146</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0550</X>
<Y>0.4352</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62347</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>05</dateDay>
<MJD>57147</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0565</X>
<Y>0.4360</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62463</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>06</dateDay>
<MJD>57148</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0581</X>
<Y>0.4368</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62570</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>07</dateDay>
<MJD>57149</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0597</X>
<Y>0.4376</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62671</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>08</dateDay>
<MJD>57150</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0613</X>
<Y>0.4383</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62769</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>57151</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0629</X>
<Y>0.4391</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62871</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>57152</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0646</X>
<Y>0.4398</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.62980</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>57153</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0662</X>
<Y>0.4404</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63102</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>57154</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0679</X>
<Y>0.4411</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63239</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>13</dateDay>
<MJD>57155</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0696</X>
<Y>0.4417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63389</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>14</dateDay>
<MJD>57156</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0713</X>
<Y>0.4423</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63547</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>15</dateDay>
<MJD>57157</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0730</X>
<Y>0.4429</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63707</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>16</dateDay>
<MJD>57158</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0747</X>
<Y>0.4435</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63859</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>17</dateDay>
<MJD>57159</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0765</X>
<Y>0.4440</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.63997</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>18</dateDay>
<MJD>57160</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0782</X>
<Y>0.4445</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64116</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>19</dateDay>
<MJD>57161</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0800</X>
<Y>0.4450</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64218</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>20</dateDay>
<MJD>57162</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0817</X>
<Y>0.4454</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64306</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>21</dateDay>
<MJD>57163</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0835</X>
<Y>0.4458</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64385</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>22</dateDay>
<MJD>57164</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0853</X>
<Y>0.4462</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64460</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>23</dateDay>
<MJD>57165</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0871</X>
<Y>0.4466</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64534</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>24</dateDay>
<MJD>57166</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0889</X>
<Y>0.4470</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64610</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>25</dateDay>
<MJD>57167</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0907</X>
<Y>0.4473</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64689</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>26</dateDay>
<MJD>57168</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0926</X>
<Y>0.4476</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64772</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>27</dateDay>
<MJD>57169</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0944</X>
<Y>0.4478</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64858</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>28</dateDay>
<MJD>57170</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0962</X>
<Y>0.4481</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.64946</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>29</dateDay>
<MJD>57171</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0981</X>
<Y>0.4483</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>30</dateDay>
<MJD>57172</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0999</X>
<Y>0.4485</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65116</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>05</dateMonth>
<dateDay>31</dateDay>
<MJD>57173</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1018</X>
<Y>0.4486</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65194</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>01</dateDay>
<MJD>57174</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1036</X>
<Y>0.4488</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>02</dateDay>
<MJD>57175</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1055</X>
<Y>0.4489</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65327</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>03</dateDay>
<MJD>57176</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1074</X>
<Y>0.4489</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65383</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>04</dateDay>
<MJD>57177</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1092</X>
<Y>0.4490</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65434</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>05</dateDay>
<MJD>57178</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1111</X>
<Y>0.4490</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>06</dateDay>
<MJD>57179</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1130</X>
<Y>0.4490</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65543</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>07</dateDay>
<MJD>57180</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1149</X>
<Y>0.4489</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65610</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>08</dateDay>
<MJD>57181</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1167</X>
<Y>0.4489</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65689</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>09</dateDay>
<MJD>57182</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1186</X>
<Y>0.4488</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65779</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>10</dateDay>
<MJD>57183</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1205</X>
<Y>0.4487</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65875</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>11</dateDay>
<MJD>57184</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1224</X>
<Y>0.4485</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.65972</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>12</dateDay>
<MJD>57185</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1242</X>
<Y>0.4483</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66064</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>13</dateDay>
<MJD>57186</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1261</X>
<Y>0.4481</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66143</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>14</dateDay>
<MJD>57187</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1280</X>
<Y>0.4479</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66207</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>15</dateDay>
<MJD>57188</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1299</X>
<Y>0.4476</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66253</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>16</dateDay>
<MJD>57189</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1317</X>
<Y>0.4473</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66285</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>17</dateDay>
<MJD>57190</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1336</X>
<Y>0.4470</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66307</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>18</dateDay>
<MJD>57191</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1354</X>
<Y>0.4467</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66324</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>19</dateDay>
<MJD>57192</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1373</X>
<Y>0.4463</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66339</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>20</dateDay>
<MJD>57193</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1391</X>
<Y>0.4459</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66357</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>21</dateDay>
<MJD>57194</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1410</X>
<Y>0.4455</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>22</dateDay>
<MJD>57195</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1428</X>
<Y>0.4450</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66402</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>23</dateDay>
<MJD>57196</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1446</X>
<Y>0.4445</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66430</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>24</dateDay>
<MJD>57197</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1464</X>
<Y>0.4440</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66459</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>25</dateDay>
<MJD>57198</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1483</X>
<Y>0.4434</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66489</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>26</dateDay>
<MJD>57199</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1501</X>
<Y>0.4429</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66516</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>27</dateDay>
<MJD>57200</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1518</X>
<Y>0.4423</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66538</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>28</dateDay>
<MJD>57201</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1536</X>
<Y>0.4417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>29</dateDay>
<MJD>57202</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1554</X>
<Y>0.4410</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66563</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>06</dateMonth>
<dateDay>30</dateDay>
<MJD>57203</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1571</X>
<Y>0.4403</Y>
</pole>
<UT type="prediction">
<UT1-UTC>-0.66567</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>01</dateDay>
<MJD>57204</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1589</X>
<Y>0.4396</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33434</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>02</dateDay>
<MJD>57205</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1606</X>
<Y>0.4389</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33433</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>03</dateDay>
<MJD>57206</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1624</X>
<Y>0.4381</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33427</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>04</dateDay>
<MJD>57207</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1641</X>
<Y>0.4373</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33410</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>05</dateDay>
<MJD>57208</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1658</X>
<Y>0.4365</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33380</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>06</dateDay>
<MJD>57209</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1674</X>
<Y>0.4357</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33336</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>07</dateDay>
<MJD>57210</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1691</X>
<Y>0.4348</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33284</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>08</dateDay>
<MJD>57211</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1708</X>
<Y>0.4339</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33230</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>09</dateDay>
<MJD>57212</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1724</X>
<Y>0.4330</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33181</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>10</dateDay>
<MJD>57213</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1740</X>
<Y>0.4321</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33142</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>11</dateDay>
<MJD>57214</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1756</X>
<Y>0.4311</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33117</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>12</dateDay>
<MJD>57215</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1772</X>
<Y>0.4301</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33107</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>13</dateDay>
<MJD>57216</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1788</X>
<Y>0.4291</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33107</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>14</dateDay>
<MJD>57217</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1803</X>
<Y>0.4281</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33116</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>15</dateDay>
<MJD>57218</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1819</X>
<Y>0.4270</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33130</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>16</dateDay>
<MJD>57219</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1834</X>
<Y>0.4259</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>17</dateDay>
<MJD>57220</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1849</X>
<Y>0.4248</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33155</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>18</dateDay>
<MJD>57221</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1864</X>
<Y>0.4237</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33161</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>19</dateDay>
<MJD>57222</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1878</X>
<Y>0.4226</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33161</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>20</dateDay>
<MJD>57223</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1893</X>
<Y>0.4214</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33156</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>21</dateDay>
<MJD>57224</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1907</X>
<Y>0.4202</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33147</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>22</dateDay>
<MJD>57225</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1921</X>
<Y>0.4190</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33136</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>23</dateDay>
<MJD>57226</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1934</X>
<Y>0.4177</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33126</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>24</dateDay>
<MJD>57227</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1948</X>
<Y>0.4165</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33118</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>25</dateDay>
<MJD>57228</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1961</X>
<Y>0.4152</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33115</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>26</dateDay>
<MJD>57229</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1974</X>
<Y>0.4139</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33117</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>27</dateDay>
<MJD>57230</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1987</X>
<Y>0.4125</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33123</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>28</dateDay>
<MJD>57231</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2000</X>
<Y>0.4112</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33131</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>29</dateDay>
<MJD>57232</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2012</X>
<Y>0.4098</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33138</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>30</dateDay>
<MJD>57233</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2024</X>
<Y>0.4084</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33139</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>07</dateMonth>
<dateDay>31</dateDay>
<MJD>57234</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2036</X>
<Y>0.4070</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33127</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>01</dateDay>
<MJD>57235</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2047</X>
<Y>0.4056</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33100</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>02</dateDay>
<MJD>57236</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2059</X>
<Y>0.4042</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.33055</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>03</dateDay>
<MJD>57237</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2070</X>
<Y>0.4027</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32996</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>04</dateDay>
<MJD>57238</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2080</X>
<Y>0.4012</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32930</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>05</dateDay>
<MJD>57239</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2091</X>
<Y>0.3998</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>06</dateDay>
<MJD>57240</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2101</X>
<Y>0.3982</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32812</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>07</dateDay>
<MJD>57241</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2111</X>
<Y>0.3967</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32771</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>08</dateDay>
<MJD>57242</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2121</X>
<Y>0.3952</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32745</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>09</dateDay>
<MJD>57243</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2130</X>
<Y>0.3936</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32733</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>10</dateDay>
<MJD>57244</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2139</X>
<Y>0.3920</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32730</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>11</dateDay>
<MJD>57245</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2148</X>
<Y>0.3905</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>12</dateDay>
<MJD>57246</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2157</X>
<Y>0.3889</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32734</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>13</dateDay>
<MJD>57247</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2165</X>
<Y>0.3872</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32732</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>57248</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2173</X>
<Y>0.3856</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32723</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>57249</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2180</X>
<Y>0.3840</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32707</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>57250</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2188</X>
<Y>0.3823</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32684</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>57251</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2195</X>
<Y>0.3807</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32655</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>57252</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2201</X>
<Y>0.3790</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32622</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>57253</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2208</X>
<Y>0.3773</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32587</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>57254</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2214</X>
<Y>0.3756</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32554</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>57255</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2220</X>
<Y>0.3739</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32522</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>57256</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2225</X>
<Y>0.3722</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32495</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>57257</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2230</X>
<Y>0.3705</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32471</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>57258</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2235</X>
<Y>0.3687</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32449</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>57259</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2240</X>
<Y>0.3670</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32426</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>57260</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2244</X>
<Y>0.3652</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32396</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>57261</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2248</X>
<Y>0.3635</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32355</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>57262</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2251</X>
<Y>0.3617</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32297</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>57263</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2255</X>
<Y>0.3599</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32219</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>57264</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2257</X>
<Y>0.3582</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32121</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>57265</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2260</X>
<Y>0.3564</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.32010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>57266</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2262</X>
<Y>0.3546</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31894</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>57267</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2264</X>
<Y>0.3528</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>57268</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2266</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31685</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>57269</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2267</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31603</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>57270</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2268</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31537</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>57271</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2268</X>
<Y>0.3456</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31482</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>57272</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2269</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31434</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>57273</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2269</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31388</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>57274</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2268</X>
<Y>0.3402</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31338</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>57275</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2267</X>
<Y>0.3384</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31283</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>57276</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2266</X>
<Y>0.3366</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31220</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>57277</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2265</X>
<Y>0.3347</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31150</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>57278</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2263</X>
<Y>0.3329</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.31072</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>57279</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2261</X>
<Y>0.3311</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30990</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>57280</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2259</X>
<Y>0.3293</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30906</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>57281</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2256</X>
<Y>0.3275</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>57282</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2253</X>
<Y>0.3257</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30740</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>57283</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2249</X>
<Y>0.3239</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30662</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>57284</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2245</X>
<Y>0.3222</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30588</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>57285</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2241</X>
<Y>0.3204</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30519</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>57286</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2237</X>
<Y>0.3186</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30450</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>57287</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2232</X>
<Y>0.3168</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30378</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>57288</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2227</X>
<Y>0.3150</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30299</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>57289</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2222</X>
<Y>0.3133</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30206</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>57290</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2216</X>
<Y>0.3115</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.30096</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>57291</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2210</X>
<Y>0.3098</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29967</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>57292</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2203</X>
<Y>0.3081</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29821</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>57293</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2197</X>
<Y>0.3063</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29667</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>57294</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2190</X>
<Y>0.3046</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29515</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>57295</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2182</X>
<Y>0.3029</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29374</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>57296</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2174</X>
<Y>0.3012</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29252</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>57297</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2166</X>
<Y>0.2995</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29149</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>57298</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2158</X>
<Y>0.2978</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.29064</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>57299</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2150</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28989</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>57300</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2141</X>
<Y>0.2945</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28918</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>57301</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2131</X>
<Y>0.2929</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28845</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>57302</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2122</X>
<Y>0.2912</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28768</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>57303</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2112</X>
<Y>0.2896</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28683</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>57304</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2102</X>
<Y>0.2880</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28590</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>57305</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2091</X>
<Y>0.2864</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28490</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>57306</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2080</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28385</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>57307</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2069</X>
<Y>0.2833</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28278</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>57308</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2058</X>
<Y>0.2818</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28170</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>57309</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2046</X>
<Y>0.2803</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.28065</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>57310</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2035</X>
<Y>0.2787</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27964</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>57311</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2022</X>
<Y>0.2773</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27867</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>57312</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.2010</X>
<Y>0.2758</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27772</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>57313</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1997</X>
<Y>0.2743</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27678</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>57314</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1984</X>
<Y>0.2729</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27582</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>57315</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1971</X>
<Y>0.2715</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27478</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>57316</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1957</X>
<Y>0.2701</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27364</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>57317</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1943</X>
<Y>0.2687</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27235</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>57318</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1929</X>
<Y>0.2673</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.27090</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>57319</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1915</X>
<Y>0.2660</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26928</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>57320</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1900</X>
<Y>0.2647</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26751</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>57321</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1886</X>
<Y>0.2634</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26565</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>57322</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1871</X>
<Y>0.2621</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26380</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>57323</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1855</X>
<Y>0.2609</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26205</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>57324</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1840</X>
<Y>0.2596</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.26045</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>57325</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1824</X>
<Y>0.2584</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25902</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>57326</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1808</X>
<Y>0.2572</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25772</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>57327</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1792</X>
<Y>0.2561</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25648</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>57328</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1775</X>
<Y>0.2550</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25526</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>57329</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1759</X>
<Y>0.2538</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25405</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>57330</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1742</X>
<Y>0.2528</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25285</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>57331</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1725</X>
<Y>0.2517</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25163</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>57332</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1708</X>
<Y>0.2507</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.25042</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>57333</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1690</X>
<Y>0.2496</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24917</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>57334</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1672</X>
<Y>0.2487</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24790</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>57335</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1655</X>
<Y>0.2477</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24667</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>57336</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1637</X>
<Y>0.2468</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24548</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>57337</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1619</X>
<Y>0.2459</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24432</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>57338</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1600</X>
<Y>0.2450</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24313</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>57339</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1582</X>
<Y>0.2441</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24192</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>57340</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1563</X>
<Y>0.2433</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.24077</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>57341</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1544</X>
<Y>0.2425</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23960</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>57342</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1525</X>
<Y>0.2417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23843</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>57343</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1506</X>
<Y>0.2410</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23713</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>57344</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1487</X>
<Y>0.2403</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23573</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>57345</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1467</X>
<Y>0.2396</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23425</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>57346</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1448</X>
<Y>0.2389</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23265</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>57347</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1428</X>
<Y>0.2383</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.23094</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>57348</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1409</X>
<Y>0.2377</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22916</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>57349</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1389</X>
<Y>0.2371</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>57350</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1369</X>
<Y>0.2366</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22578</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>57351</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1349</X>
<Y>0.2361</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22424</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>57352</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1328</X>
<Y>0.2356</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22287</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>57353</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1308</X>
<Y>0.2352</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22165</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>57354</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1288</X>
<Y>0.2347</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.22058</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>29</dateDay>
<MJD>57355</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1267</X>
<Y>0.2344</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21952</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>11</dateMonth>
<dateDay>30</dateDay>
<MJD>57356</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1247</X>
<Y>0.2340</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21844</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>57357</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1226</X>
<Y>0.2337</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21731</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>57358</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1206</X>
<Y>0.2334</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21610</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>57359</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1185</X>
<Y>0.2331</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21483</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>57360</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1164</X>
<Y>0.2329</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21347</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>57361</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1144</X>
<Y>0.2327</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21203</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>57362</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1123</X>
<Y>0.2325</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.21059</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>57363</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1102</X>
<Y>0.2324</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20917</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>57364</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1081</X>
<Y>0.2322</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20785</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>57365</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1060</X>
<Y>0.2322</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20660</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>57366</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1039</X>
<Y>0.2321</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20539</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>57367</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.1018</X>
<Y>0.2321</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20425</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>57368</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0997</X>
<Y>0.2321</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20312</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>57369</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0976</X>
<Y>0.2322</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20201</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>57370</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0956</X>
<Y>0.2322</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.20084</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>57371</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0935</X>
<Y>0.2324</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19956</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>57372</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0914</X>
<Y>0.2325</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19815</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>57373</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0893</X>
<Y>0.2327</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19657</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>57374</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0872</X>
<Y>0.2329</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>57375</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0851</X>
<Y>0.2331</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19309</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>57376</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0831</X>
<Y>0.2334</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.19128</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>57377</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0810</X>
<Y>0.2337</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18953</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>57378</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0789</X>
<Y>0.2340</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18782</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>57379</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0769</X>
<Y>0.2344</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18628</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>57380</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0748</X>
<Y>0.2348</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18492</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>57381</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0728</X>
<Y>0.2352</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18368</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>57382</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0707</X>
<Y>0.2356</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18251</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>57383</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0687</X>
<Y>0.2361</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18144</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>57384</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0667</X>
<Y>0.2366</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.18037</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>57385</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0647</X>
<Y>0.2372</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17926</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>57386</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0627</X>
<Y>0.2378</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17808</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2015</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>57387</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0607</X>
<Y>0.2384</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17683</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>57388</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0587</X>
<Y>0.2390</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17552</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>57389</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0568</X>
<Y>0.2397</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17417</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>57390</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0548</X>
<Y>0.2404</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17287</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>57391</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0529</X>
<Y>0.2411</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17164</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>57392</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0509</X>
<Y>0.2419</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.17044</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>57393</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0490</X>
<Y>0.2427</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16928</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>57394</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0471</X>
<Y>0.2435</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>57395</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0452</X>
<Y>0.2443</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16718</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>57396</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0434</X>
<Y>0.2452</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16618</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>57397</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0415</X>
<Y>0.2461</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16503</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>57398</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0397</X>
<Y>0.2470</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16381</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>57399</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0379</X>
<Y>0.2480</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16241</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>57400</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0361</X>
<Y>0.2490</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.16087</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>57401</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0343</X>
<Y>0.2500</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15914</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>57402</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0325</X>
<Y>0.2510</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15733</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>57403</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0308</X>
<Y>0.2521</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15548</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>57404</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0291</X>
<Y>0.2532</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15375</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>57405</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0274</X>
<Y>0.2543</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15207</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>57406</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0257</X>
<Y>0.2555</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.15060</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>57407</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0240</X>
<Y>0.2566</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14930</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>57408</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0224</X>
<Y>0.2578</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14808</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>57409</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0208</X>
<Y>0.2591</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14697</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>57410</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0192</X>
<Y>0.2603</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14589</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>57411</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0176</X>
<Y>0.2616</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14484</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>57412</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0161</X>
<Y>0.2629</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14376</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>57413</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0145</X>
<Y>0.2642</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14271</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>57414</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0130</X>
<Y>0.2656</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14164</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>57415</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0116</X>
<Y>0.2669</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.14051</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>57416</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0101</X>
<Y>0.2683</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13936</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>57417</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0087</X>
<Y>0.2697</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>57418</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0073</X>
<Y>0.2712</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13718</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>57419</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0059</X>
<Y>0.2726</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13619</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>57420</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0046</X>
<Y>0.2741</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13523</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>57421</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0033</X>
<Y>0.2756</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13430</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>57422</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0020</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13341</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>57423</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>0.0007</X>
<Y>0.2787</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13252</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>57424</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0005</X>
<Y>0.2802</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13157</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>57425</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0017</X>
<Y>0.2818</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.13047</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>57426</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0029</X>
<Y>0.2834</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12924</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>57427</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0040</X>
<Y>0.2850</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>57428</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0052</X>
<Y>0.2867</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12623</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>57429</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0062</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12446</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>57430</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0073</X>
<Y>0.2900</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12258</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>57431</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0083</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.12074</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>57432</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0093</X>
<Y>0.2934</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11895</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>15</dateDay>
<MJD>57433</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0103</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11728</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>16</dateDay>
<MJD>57434</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0112</X>
<Y>0.2968</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11579</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>17</dateDay>
<MJD>57435</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0121</X>
<Y>0.2986</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11446</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>18</dateDay>
<MJD>57436</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0130</X>
<Y>0.3003</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11324</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>57437</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0138</X>
<Y>0.3021</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11210</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>57438</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0146</X>
<Y>0.3039</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.11096</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>57439</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0154</X>
<Y>0.3057</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10977</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>57440</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0161</X>
<Y>0.3075</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10854</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>57441</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0168</X>
<Y>0.3093</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10717</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>57442</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0175</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10572</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>57443</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0181</X>
<Y>0.3130</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10417</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>57444</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0187</X>
<Y>0.3149</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10260</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>57445</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0192</X>
<Y>0.3168</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.10101</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>57446</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0198</X>
<Y>0.3186</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09948</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>02</dateMonth>
<dateDay>29</dateDay>
<MJD>57447</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0203</X>
<Y>0.3205</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09800</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>57448</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0207</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09659</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>02</dateDay>
<MJD>57449</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0211</X>
<Y>0.3243</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09524</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>57450</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0215</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09393</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>57451</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0219</X>
<Y>0.3282</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09261</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>05</dateDay>
<MJD>57452</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0222</X>
<Y>0.3301</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.09126</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>06</dateDay>
<MJD>57453</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0225</X>
<Y>0.3320</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08977</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>07</dateDay>
<MJD>57454</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0227</X>
<Y>0.3340</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08807</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>08</dateDay>
<MJD>57455</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0230</X>
<Y>0.3359</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08613</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>09</dateDay>
<MJD>57456</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0231</X>
<Y>0.3378</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08401</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>10</dateDay>
<MJD>57457</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0233</X>
<Y>0.3398</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.08176</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>11</dateDay>
<MJD>57458</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0234</X>
<Y>0.3417</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07950</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>12</dateDay>
<MJD>57459</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0234</X>
<Y>0.3437</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07742</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>13</dateDay>
<MJD>57460</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0235</X>
<Y>0.3456</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07552</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57461</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0235</X>
<Y>0.3476</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07379</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57462</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0234</X>
<Y>0.3496</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07227</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57463</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0234</X>
<Y>0.3515</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.07091</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57464</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0233</X>
<Y>0.3535</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06963</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57465</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0231</X>
<Y>0.3554</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06845</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57466</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0229</X>
<Y>0.3574</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06730</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57467</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0227</X>
<Y>0.3593</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06618</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57468</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0225</X>
<Y>0.3613</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06499</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57469</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0222</X>
<Y>0.3632</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06364</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57470</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0218</X>
<Y>0.3652</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06224</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57471</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0215</X>
<Y>0.3671</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.06087</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries>
<time>
<dateYear>2016</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57472</MJD>
</time>
<dataEOP>
<pole type="prediction">
<X>-0.0211</X>
<Y>0.3691</Y>
</pole>
<UT type="prediction">
<UT1-UTC>0.05946</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
</data>
</EOP>
