EOPs predictions 20 February 2016 MJD x(arcsec) y(arcsec) UT1-UTC(sec) 57438 -0.018010 0.333816 -0.003446 57439 -0.018696 0.335645 -0.004855 57440 -0.019371 0.337552 -0.006348 57441 -0.019853 0.339479 -0.007929 57442 -0.020260 0.341419 -0.009567 57443 -0.020597 0.343399 -0.011258 57444 -0.020830 0.345386 -0.012938 57445 -0.020916 0.347368 -0.014620 57446 -0.021164 0.349366 -0.016261 57447 -0.021221 0.351380 -0.017837 57448 -0.021321 0.353412 -0.019365 57449 -0.021415 0.355453 -0.020831 57450 -0.021473 0.357509 -0.022294 57451 -0.021499 0.359578 -0.023755 57452 -0.021371 0.361650 -0.025301 57453 -0.021288 0.363734 -0.026957 57454 -0.021192 0.365834 -0.028815 57455 -0.021081 0.367936 -0.030848 57456 -0.020868 0.370053 -0.033070 57457 -0.020663 0.372186 -0.035403 57458 -0.020475 0.374316 -0.037650 57459 -0.020199 0.376345 -0.039732 57460 -0.019834 0.378378 -0.042061 57461 -0.019455 0.380316 -0.044424 57462 -0.019017 0.382359 -0.046935 57463 -0.018607 0.384310 -0.049521 57464 -0.018255 0.386372 -0.051950 57465 -0.017706 0.388441 -0.054362 57466 -0.017268 0.390417 -0.056406 57467 -0.016730 0.392399 -0.058494 57468 -0.016167 0.394286 -0.060251 57469 -0.015581 0.396077 -0.062046 57470 -0.014994 0.397971 -0.063863 57471 -0.014213 0.399768 -0.065687 57472 -0.013542 0.401668 -0.067582 57473 -0.012857 0.403470 -0.069436 57474 -0.012152 0.405375 -0.071421 57475 -0.011323 0.407282 -0.073446 57476 -0.010582 0.409090 -0.075301 57477 -0.009630 0.410800 -0.077324 57478 -0.008766 0.412709 -0.079233 57479 -0.007887 0.414518 -0.081181 57480 -0.006987 0.416426 -0.082827 57481 -0.005962 0.418234 -0.084507 57482 -0.004917 0.420041 -0.086174 57483 -0.003956 0.421846 -0.087829 57484 -0.002984 0.423649 -0.089442 57485 -0.001801 0.425449 -0.091131 57486 -0.000700 0.427246 -0.093001 57487 0.000376 0.429040 -0.095052 57488 0.001530 0.430730 -0.097230 57489 0.002764 0.432416 -0.099628 57490 0.003985 0.434097 -0.102173 57491 0.005292 0.435574 -0.104522 57492 0.006483 0.436946 -0.106828 57493 0.007751 0.438312 -0.108937 57494 0.009099 0.439672 -0.110879 57495 0.010428 0.440826 -0.112661 57496 0.011740 0.442073 -0.114286 57497 0.013140 0.443212 -0.115931 57498 0.014627 0.444444 -0.117581 57499 0.016098 0.445668 -0.119101 57500 0.017551 0.446784 -0.120873 57501 0.018987 0.447891 -0.122575 57502 0.020503 0.448988 -0.124296 57503 0.022001 0.450076 -0.125937 57504 0.023579 0.451155 -0.127608 57505 0.025135 0.452122 -0.129345 57506 0.026772 0.453180 -0.130881 57507 0.028393 0.454026 -0.132370 57508 0.029902 0.454961 -0.133759 57509 0.031697 0.455884 -0.135096 57510 0.033376 0.456895 -0.136303 57511 0.035037 0.457794 -0.137675 57512 0.036680 0.458680 -0.139068 57513 0.038306 0.459553 -0.140498 57514 0.039916 0.460313 -0.142073 57515 0.041509 0.461059 -0.143610 57516 0.043085 0.461690 -0.145270 57517 0.044544 0.462308 -0.146862 57518 0.046186 0.462910 -0.148425 57519 0.047712 0.463598 -0.150021 57520 0.049321 0.464170 -0.151797 57521 0.050915 0.464727 -0.153587 57522 0.051593 0.465267 -0.155304 57523 0.052254 0.465692 -0.157152 57524 0.052999 0.466199 -0.158817 57525 0.053628 0.466690 -0.160580 57526 0.054343 0.467164 -0.162219 57527 0.055024 0.467621 -0.163907