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利用引力梯度不变量解算的GOCE引力场模型 被引量:10

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摘要 本文利用引力梯度不变量理论和GOCE实际观测数据(从2009年11月1日至2009年12月31日的GOCE Level2数据)恢复了地球引力场,得到了2个引力场模型:GUCAS_EGM与GUCAS_EGM_DL,其中模型GUCAS_EGM是GOCE引力梯度数据经FIR滤波后用不变量理论解出的;而GUCAS_EGM_DL则是引力梯度数据经FIR滤波后再使用Durbin-Levison算法进行平滑,然后再由不变量理论解出的模型.由于本文使用了完全新的方法去处理GOCE观测数据,所以产生了系列衍生问题和相应的解决方案,即:观测数据如何进行滤波、不变量如何计算、观测空白区如何处理以及不变量扰动的改正等.此外,将解出的引力场模型与欧空局推荐的三个模型进行了比对后得出了下列初步结论:GUCAS_EGM模型与已知GOCE模型的精度大致相同(阶数高于150后),而GUCAS_EGM_DL模型在某种程度上比欧空局公布的GOCE模型精度要高,而且恢复的引力场的阶数从80阶开始要好于GRACE数据的结果.
出处 《中国科学:地球科学》 CSCD 北大核心 2012年第9期1450-1458,共9页 Scientia Sinica(Terrae)
基金 国家自然科学基金(批准号:41074015)资助
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参考文献26

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二级参考文献43

  • 1YU JinHai1,2,3 & ZHAO DongMing4 1 College of Earth Science, Graduate University of Chinese Academy of Sciences, Beijing 100049, China,2 Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China,3 State Key Laboratory of Astronautic Dynamics, Xi’an 710043, China,4 Zhengzhou Institute of Surveying and Mapping, Zhengzhou 450052, China.The gravitational gradient tensor’s invariants and the related boundary conditions[J].Science China Earth Sciences,2010,53(5):781-790. 被引量:7
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