EOPs predictions 23 February 2016 MJD x(arcsec) y(arcsec) UT1-UTC(sec) 57441 -0.020627 0.338845 -0.008103 57442 -0.021270 0.340627 -0.009843 57443 -0.021714 0.342515 -0.011633 57444 -0.022038 0.344468 -0.013409 57445 -0.022381 0.346423 -0.015184 57446 -0.022598 0.348377 -0.016906 57447 -0.022808 0.350340 -0.018453 57448 -0.023047 0.352316 -0.019741 57449 -0.023180 0.354306 -0.021058 57450 -0.023177 0.356313 -0.022465 57451 -0.023046 0.358332 -0.023752 57452 -0.022863 0.360361 -0.025324 57453 -0.022632 0.362400 -0.026993 57454 -0.022489 0.364459 -0.028861 57455 -0.022147 0.366533 -0.030892 57456 -0.021808 0.368618 -0.033004 57457 -0.021474 0.370715 -0.035423 57458 -0.021052 0.372611 -0.037645 57459 -0.020532 0.374399 -0.039703 57460 -0.020013 0.376392 -0.042085 57461 -0.019496 0.378303 -0.044419 57462 -0.018829 0.380320 -0.046975 57463 -0.018285 0.382340 -0.049522 57464 -0.017788 0.384366 -0.051988 57465 -0.017287 0.386398 -0.054336 57466 -0.016791 0.388435 -0.056411 57467 -0.016101 0.390483 -0.058422 57468 -0.015597 0.392341 -0.060208 57469 -0.014974 0.394208 -0.062028 57470 -0.014253 0.396081 -0.063871 57471 -0.013538 0.397958 -0.065615 57472 -0.012821 0.399739 -0.067527 57473 -0.012191 0.401624 -0.069400 57474 -0.011345 0.403411 -0.071403 57475 -0.010582 0.405302 -0.073452 57476 -0.009699 0.407295 -0.075322 57477 -0.008707 0.409090 -0.077367 57478 -0.007807 0.410887 -0.079292 57479 -0.006991 0.412784 -0.081154 57480 -0.005946 0.414583 -0.082816 57481 -0.004965 0.416482 -0.084509 57482 -0.003951 0.418281 -0.086188 57483 -0.002918 0.420079 -0.087851 57484 -0.001889 0.421875 -0.089480 57485 -0.000766 0.423669 -0.091171 57486 0.000334 0.425462 -0.093049 57487 0.001583 0.427252 -0.095000 57488 0.002705 0.429040 -0.097278 57489 0.003902 0.430724 -0.099672 57490 0.005275 0.432405 -0.102109 57491 0.006432 0.434082 -0.104553 57492 0.007774 0.435555 -0.106848 57493 0.009097 0.436923 -0.108951 57494 0.010402 0.438385 -0.110876 57495 0.011789 0.439643 -0.112646 57496 0.013160 0.440894 -0.114257 57497 0.014616 0.442039 -0.115982 57498 0.016060 0.443277 -0.117512 57499 0.017587 0.444408 -0.119103 57500 0.018994 0.445631 -0.120846 57501 0.020582 0.446746 -0.122513 57502 0.022051 0.447853 -0.124296 57503 0.023502 0.448951 -0.125998 57504 0.025132 0.450039 -0.127623 57505 0.026743 0.451118 -0.129314 57506 0.028333 0.452187 -0.130897 57507 0.029905 0.453145 -0.132336 57508 0.031664 0.454093 -0.133767 57509 0.033310 0.454929 -0.135048 57510 0.035041 0.455854 -0.136395 57511 0.036656 0.456867 -0.137606 57512 0.038352 0.457768 -0.139038 57513 0.039930 0.458656 -0.140402 57514 0.041589 0.459531 -0.142014 57515 0.043032 0.460393 -0.143682 57516 0.044556 0.461041 -0.145275 57517 0.046164 0.461676 -0.146896 57518 0.047755 0.462396 -0.148491 57519 0.049329 0.462901 -0.150016 57520 0.050986 0.463591 -0.151719 57521 0.052526 0.464166 -0.153538 57522 0.054250 0.464725 -0.155381 57523 0.055956 0.465269 -0.157157 57524 0.057645 0.465696 -0.158848 57525 0.059319 0.466106 -0.160537 57526 0.061077 0.466600 -0.162202 57527 0.062722 0.467176 -0.163915 57528 0.064452 0.467635 -0.165662 57529 0.066165 0.468077 -0.167325 57530 0.067762 0.468600 -0.169008