联合GOCE轨道和梯度数据反演地球重力场模型

Recovering Earth’s Gravitational Field Model Using GOCE Orbits and Gravity Gradients

摘要: 基于Fortran语言编写了一套恢复重力场模型的软件系统实现GOCE卫星。基于傅里叶展开式设计了一种重力梯度的滤波方法。分别对GOCE PKI轨道数据和引力梯度数据进行了反演计算，恢复了几个重力场模型。结果显示，GOCE轨道的反演能力约在120阶次以内;两极空白对梯度数据反演计算的影响大于轨道数据。联合2009-11-02一2010-O1-10共70 d的GOCE轨道数据和重力梯度数据恢复了一个200阶次的地球重力场模SWJTU2013GO，通过内外符合精度评定，判定了该模型的整体精度略低于ICGEM公布的同类型模型GO_CONS_GCF_2_TIM_R3.

Abstract: In order to achieve the ambition of VOCE，a Fortran program is compiled for recovering Earth’s gravitational field model. A filter approach is designed for gravity gradients based on Fourier series.Several gravity field models are recovered by using VOCE PKI orbits and gravity gradients.The results show that the recovering ability of VOCE orbits is up to 120 degree and order. The gravity gradients are influenced by polar gaps more serious than orbits. An Earth’s gravitational field mode1 up to degree and order 200 named SWJTU2013U0 has been resolved by combining 70 days VOCE orbits and gravity gradients between 2009-11-02一2010-01-10.The precision of the model is well，but slightly less than the precision of GO_CONS_GCF_2_TIM_R3 as shown by internal and external valilotion.