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- 2018
联合GOCE卫星数据和GRACE法方程确定SWJTU-GOGR01S全球重力场模型
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Abstract:
联合地球重力场和海洋环流探测器（Gravity Field and Steady-State Ocean Circulation Explorer，GOCE）和重力恢复与气候实验（Gravity Recovery and Climate Experiment，GRACE）卫星观测数据确定全球静态重力场模型是当前大地测量学的研究热点之一。联合近3 a的GOCE卫星梯度数据和7 a左右的GRACE星间距离变率数据计算的ITG-GRACE2010S模型的法方程恢复了210阶次的重力场模型SWJTU-GOGR01S。采用带通数字滤波方法处理GOCE卫星的4个高精度梯度观测分量，利用梯度数据恢复重力场模型的观测方程直接建立在梯度仪坐标系中，可以避免坐标转换过程中高精度的梯度观测分量受低精度分量的影响；联合法方程解的最优权采用方差分量估计迭代计算，GOCE数据的两极空白引起的病态问题采用Kaula正则化方法进行约束。基于EIGEN-6C2模型和北美地区的GPS水准网观测数据，对SWJTU-GOGR01S模型进行内外符合精度分析，结果表明，SWJTU-GOGR01S模型在210阶次的大地水准面误差和累计误差分别为1.3 cm和5.7 cm，精度与欧洲空间局公布的第四代时域法模型相当，略优于GOCO02S和GOCO03S模型的精度
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