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CHAMP卫星时代全球岩石圈磁场模型的近似误差估计 被引量:2

Approximate error estimation of global lithospheric magnetic field models in the era of CHAMP satellite
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摘要 岩石圈磁场模型的误差估计是地磁导航、定量地球物理与地质解释的重要基础.本文基于统计学观点,将由CHAMP卫星磁测数据构建的系列具有代表性的全球岩石圈磁场模型视为随机观测信号,对其在球谐域与空间域分别进行平均值与标准差的统计分析,得到CHAMP卫星时代全球岩石圈磁场模型的球谐域与空间域近似误差水平、误差分布特征、不同类型磁场分量之间的误差比例关系以及全球岩石圈磁场能量与误差水平随高度的衰减特征.本文所提的误差估计方法与结果,尽管存在一定的近似,但是可以为估计与了解岩石圈磁场模型在球谐域与空间域的误差水平与分布特征提供参考资料与定量依据. Error estimation of lithospheric magnetic field models is an important issue for subsequent geomagnetic navigation and quantitative geophysical & geological interpretation. Based on a statistical standpoint,we treat a set of typical global lithospheric magnetic field models by ten years magnetic measurements of CHAMP satellite as random observation signals. Then,of these models in spherical harmonic domain and spatial domain, the average values and the standard deviations are, respectively,calculated and utilized as the approximate truth-values and approximate error estimation of the global lithospheric magnetic field models in the era of CHAMP satellite. At last, in spherical harmonic domain and spatial domain,the error level,the error distribution feature,relationship of the errors among different kinds of magnetic field components,and the decay characteristics of the magnetic fields as well as their errors as the observing altitude increasing are investigated. Despite having a limitation to describe the real error,our proposed method and the corresponding results,however, can provide the useful information and quantitative evidences to estimate the error level and understand the error distribution feature of the global lithospheric magnetic field models in the era of CHAMP satellite.
出处 《地球物理学进展》 CSCD 北大核心 2016年第4期1419-1431,共13页 Progress in Geophysics
基金 大地测量与地球动力学国家重点实验室开放基金课题(SKLGED2015-5-5-EZ) 湖北省自然科学基金项目(2015CFB361) 中国博士后科学基金项目(2015M572217) 地球内部多尺度成像湖北省重点实验室开放基金项目(SMIL-2015-06) 科技部国际科技合作项目专项(2010DFA24580)联合资助
关键词 CHAMP卫星 全球岩石圈磁场模型 卫星磁测 近似误差估计 CHAMP satellite global lithospheric magnetic field model satellite magnetic measurement approximate error estimation
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