CM5, a pre-Swarm comprehensive geomagnetic field model derived from over 12 yr of CHAMP, Orsted, SAC-C and observatory data
CM5, a pre-Swarm comprehensive geomagnetic field model derived from over 12 yr of CHAMP, Orsted, SAC-C and observatory data
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DOI：
10.1093/gji/ggu493
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发表时间：
2015-03-01
影响因子：
2.8
通讯作者：
Kuvshinov, Alexey
中科院分区：
文献类型：
--
作者：
Sabaka, Terence J.;Olsen, Nils;Kuvshinov, Alexey
利用2000年8月至2013年1月的CHAMP、Orsted和SAC-C卫星和天文台小时平均数据，使用Swarm Level-2综合反演（CI）算法，推导出一个名为CM 5的综合磁场模型。Swarm是最近发射的三颗卫星星座，用于绘制地球磁场。CI技术包括几个有趣的功能，如偏置缓解计划被称为选择性无限方差加权（SIVW），一种新的治疗卫星矢量测量中的姿态误差，并列入电离层感应的三维电导率。SIVW已经允许一个大大改善的岩石圈场恢复CM 4利用CHAMP沿轨道差分数据产生的分辨率水平高达球谐度107，并允许成功提取海洋M-2潮汐磁场安静，夜侧数据。三维归纳现在捕捉异常的太阳安静的功能，在沿海天文台的日常记录。CM 5提供了一个令人满意的，连续的描述在这段时间内在近地区域的主要磁场，其岩石层，电离层和海洋M-2潮汐成分可能被用作验证工具，为未来的群2级产品来自CI算法和其他专用的产品算法。
A comprehensive magnetic field model named CM5 has been derived from CHAMP, Orsted and SAC-C satellite and observatory hourly-means data from 2000 August to 2013 January using the Swarm Level-2 Comprehensive Inversion (CI) algorithm. Swarm is a recently launched constellation of three satellites to map the Earth's magnetic field. The CI technique includes several interesting features such as the bias mitigation scheme known as Selective Infinite Variance Weighting (SIVW), a new treatment for attitude error in satellite vector measurements, and the inclusion of 3-D conductivity for ionospheric induction. SIVW has allowed for a much improved lithospheric field recovery over CM4 by exploiting CHAMP along-track difference data yielding resolution levels up to spherical harmonic degree 107, and has allowed for the successful extraction of the oceanic M-2 tidal magnetic field from quiet, nightside data. The 3-D induction now captures anomalous Solar-quiet features in coastal observatory daily records. CM5 provides a satisfactory, continuous description of the major magnetic fields in the near-Earth region over this time span, and its lithospheric, ionospheric and oceanic M-2 tidal constituents may be used as validation tools for future Swarm Level-2 products coming from the CI algorithm and other dedicated product algorithms.