On Accuracy of Time-Varying Gravity Field Inversion Based on Optimized Preprocessing Method
Aiming at the problem of missing data and gross errors in GRACE Level1B observations,we propose an optimization method to complete the missing data of SCA1B.At the same time,we use an optimization strategy to eliminate gross errors for KBR1B and kinematic orbit data,then use these data sets to invert the time-varying gravity field model.In addition,based on synthesized data and real data respectively,we analyze the impact of the error from ACC1B in the Y direction on the inversion results and propose an optimization correction strategy.The optimized completion method can recover the missing data of SCA1B effectively,and fully considers the variational characteristics of the obser-vations throughout the arc.The accuracy of the result derived from ACC1B data after correction using the optimization strategy is 3.7 mm,which is higher than the result derived from the uncorrected da-ta.It can be seen from the results that the overall accuracy of the gravity field model solved by the da-ta processed using the optimization method is like that of the three official centers.However,the de-tailed signals performance of the results from different institutions in regionals are different.It shows that the optimized data preprocessing strategy is effective and feasible.
GRACEdata preprocessingtime-varying gravity fieldtime series decompositionaccu-racy analysis
万方数据
维普
