EOPs predictions 28 February 2016 MJD x(arcsec) y(arcsec) UT1-UTC(sec) 57446 -0.022905 0.350923 -0.017001 57447 -0.023158 0.353026 -0.018766 57448 -0.023082 0.355144 -0.020473 57449 -0.022881 0.357291 -0.021900 57450 -0.022668 0.359469 -0.023514 57451 -0.022422 0.361654 -0.025006 57452 -0.022117 0.363849 -0.026980 57453 -0.021853 0.366054 -0.028847 57454 -0.021478 0.368269 -0.030809 57455 -0.021008 0.370599 -0.033031 57456 -0.020555 0.372735 -0.035436 57457 -0.020002 0.374981 -0.037644 57458 -0.019475 0.377234 -0.039752 57459 -0.018863 0.379481 -0.042093 57460 -0.018255 0.381738 -0.044458 57461 -0.017740 0.384018 -0.046972 57462 -0.017279 0.386300 -0.049508 57463 -0.016715 0.388482 -0.051929 57464 -0.016194 0.390475 -0.054370 57465 -0.015587 0.392380 -0.056498 57466 -0.014982 0.394297 -0.058445 57467 -0.014272 0.396027 -0.060232 57468 -0.013548 0.397967 -0.062086 57469 -0.012889 0.399711 -0.063877 57470 -0.012127 0.401654 -0.065689 57471 -0.011379 0.403498 -0.067503 57472 -0.010545 0.405343 -0.069489 57473 -0.009698 0.407292 -0.071434 57474 -0.008743 0.409044 -0.073406 57475 -0.007865 0.410899 -0.075324 57476 -0.006954 0.412758 -0.077365 57477 -0.005940 0.414519 -0.079281 57478 -0.004925 0.416480 -0.081178 57479 -0.003987 0.418243 -0.082813 57480 -0.002923 0.420007 -0.084546 57481 -0.001818 0.421870 -0.086110 57482 -0.000785 0.423633 -0.087860 57483 0.000321 0.425495 -0.089495 57484 0.001555 0.427256 -0.091194 57485 0.002782 0.429015 -0.093056 57486 0.003988 0.430773 -0.095004 57487 0.005281 0.432428 -0.097227 57488 0.006467 0.434081 -0.099677 57489 0.007746 0.435531 -0.102141 57490 0.009016 0.436977 -0.104549 57491 0.010475 0.438319 -0.106863 57492 0.011718 0.439658 -0.108928 57493 0.013132 0.440891 -0.110899 57494 0.014617 0.442020 -0.112696 57495 0.016084 0.443242 -0.114236 57496 0.017537 0.444459 -0.115916 57497 0.018979 0.445668 -0.117511 57498 0.020514 0.446771 -0.119109 57499 0.022036 0.447866 -0.120871 57500 0.023539 0.448954 -0.122583 57501 0.025122 0.450034 -0.124218 57502 0.026788 0.451105 -0.125970 57503 0.028335 0.452167 -0.127637 57504 0.029962 0.453120 -0.129330 57505 0.031668 0.454063 -0.130887 57506 0.033356 0.454997 -0.132337 57507 0.035027 0.455819 -0.133741 57508 0.036689 0.456831 -0.135039 57509 0.038340 0.457732 -0.136386 57510 0.039976 0.458621 -0.137699 57511 0.041596 0.459598 -0.139077 57512 0.043000 0.460363 -0.140475 57513 0.044588 0.461015 -0.142007 57514 0.046162 0.461654 -0.143686 57515 0.047721 0.462380 -0.145222 57516 0.049366 0.462992 -0.146884 57517 0.050993 0.463590 -0.148475 57518 0.052505 0.464173 -0.150038 57519 0.054200 0.464742 -0.151733 57520 0.055981 0.465295 -0.153507 57521 0.057648 0.465633 -0.155396 57522 0.059301 0.466155 -0.157111 57523 0.061038 0.466661 -0.158859 57524 0.062560 0.467151 -0.160522 57525 0.064168 0.467624 -0.162284 57526 0.065664 0.468080 -0.163923 57527 0.067047 0.468518 -0.165610 57528 0.068418 0.469139 -0.167332 57529 0.069876 0.469642 -0.169070 57530 0.071320 0.470126 -0.170728 57531 0.072852 0.470692 -0.172410 57532 0.074271 0.471040 -0.174142 57533 0.075677 0.470368 -0.175858 57534 0.077070 0.470777 -0.177503 57535 0.078451 0.471166 -0.179228