卫星重力梯度数据的归算与格网化处理  

REDUCTION AND GRIDDED PROCESSING OF SATELLITE GRAVITY GRADIENT DATA

作　　者：钟波[1,2] 刘华亮[1] 罗志才[1,2] 李振海[1] 

机构地区：[1]武汉大学测绘学院,武汉430079 [2]地球空间环境与大地测量教育部重点实验室,武汉430079

出　　处：《大地测量与地球动力学》2011年第3期79-84,共6页Journal of Geodesy and Geodynamics

基　　金：国家863计划项目(2008AA12Z105);国家教育部新世纪优秀人才支持计划项目(NCET-07-0635);测绘遥感信息工程国家重点实验室专项科研经费资助项目(2009);地球空间环境与大地测量教育部重点实验室开放基金(10-02-09)

摘　　要：给出引力梯度数据归算的二阶径向改正公式,计算结果表明选用高精度参考重力场模型可以有效控制归算误差的影响。比较加权平均法、Shepard曲面拟合法和最小二乘配置法用于卫星重力梯度数据格网化处理的精度和适用性,采用不同噪声背景的径向引力梯度数据进行格网化处理,计算结果表明:最小二乘配置法相比加权平均法和Shepard曲面拟合法具有明显优势,其格网化精度可满足高精度重力场恢复的需要,建议在实际计算中采用最小二乘配置法进行格网化处理。Satellite gravity gradient data reduction and gridding are indispensable steps for recovering the Earth＇s gravity field with space-wise method.The second-order radial correction formula for gravity gradient data reduction is given,and the results show that the use of high-precision 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 high-accuracy Earth＇s gravity field recovery,so the LSC method is recommended for GOCE gravity gradient data gridded processing.

关 键 词：卫星重力梯度 数据归算 球面格网化 加权平均 最小二乘配置(LSC) 

分 类 号：P223[天文地球—大地测量学与测量工程] P207[天文地球—测绘科学与技术]