********************************************************************** * * * SHAO Prediction of Earth Orientation Parameters * * * ********************************************************************** 11 May 2023 Notice: The EOP predictions have been moved to SHAO ftp since 11th May 2023, the new data adress will be published later. ********************************************************************** 08 July 2020 ______________________________________________________________________ GENERAL INFORMATION: The file "PEOPs(ddmmyyyy).txt" record the Earth orientation parameters (EOP, contain polar motion, UT1-UTC,LOD,and two dPsi,dEps of 2000 and 1980) predictions for 90 days in the future since 2011 till now. The EOP observations are from IERS EOP CO4 series, and the EOP predictions are processed with the model of least-squares plus autoregression(LS+AR). Y is the year M is the month D is the day MJD is Julian date X is polar motion X component£¬with unit of arcsecond Y is polar motion X component£¬with unit of arcsecond UT1-UTC is time parameter, with unit of second LOD is time change parameter, with unit of second dX_2000 is celestial pole offsets X component(IAU2000 model)£¬with unit of arcsecond dY_2000 is celestial pole offsets Y component(IAU2000 model)£¬with unit of arcsecond dPsi_1980 is celestial pole offsets X component(IAU1980 model)£¬with unit of arcsecond dEps_1980 is celestial pole offsets Y component(IAU1980 model)£¬with unit of arcsecond ********************************************************************************** * * * Please note that the daily EOP prediction file can be obtained from * * the SHAO servers at: http://202.127.29.4/xxq/ * * * * Questions and enquiries can be send to the * * email account: xqxu@shao.ac.cn * * * * The recommended reference: * * 1.Xu, X., Zhou, Y. (2015) EOP prediction using least square fitting * * and autoregressive filter over optimized data intervals. * * Adv. Space Res., 56:2248~2253. * * 2.Xu, XQ, Zhou, YH, Liao XH. (2012) Short-term earth orientation * * parameters predictions by combination of the least-squares, * * AR model and Kalman filter, J. Geodyn. 62:83~86. * * 3.X.Q.Xu, L.Zotov, Y. H. Zhou. (2012) Combined Prediction of * * Earth Orientation Parameters. China Satellite Navigation * * Conference (CSNC) 2012 Proceedings, * * Lecture Notes in Electrical Engineering. 160: 361~369. * * * **********************************************************************************