REDUCTION AND GRIDDED PROCESSING OF SATELLITE GRAVITY GRADIENT DATA
Zhong Bo 1,2) ; Liu Hualiang 1) ;Luo Zhicai 1,2) ; and Li Zhenhai 1)
1)School of Geodesy and Geomatics, Wuhan University, Wuhan 4300792Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan 430079
Abstract Satellite gravity gradient data reduction and gridding are indispensable steps for recovering the Earth’s gravity field with spacewise method. The secondorder radial correction formula for gravity gradient data reduction is given, and the results show that the use of highprecision reference gravity field model can effectively reduce the reduction errors. The gridding accuracy and applicability of weighted average method, Shepard surface fitting and least squares collocation method are compared. As a test, the radial gravity gradient data that added with different types of noises are gridded with the above three gridding methods. The results show that the LSC method has obvious advantages compared with the weighted average and Shepard surface fitting methods, and it can be used for highaccuracy Earth’s gravity field recovery, so the LSC method is recommended for GOCE gravity gradient data gridded processing.
