文章基本信息

标题：An algorithm for deriving core magnetic field models from the Swarm data set
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作者：Martin Rother ; Vincent Lesur ; Reyko Schachtschneider 等
期刊名称：Earth, Planets and Space
电子版ISSN：1880-5981
出版年度：2013
卷号：65
期号：11
页码：1223-1231
DOI：10.5047/eps.2013.07.005
出版社：Springer Verlag
摘要：In view of an optimal exploitation of the Swarm data set, we have prepared and tested software dedicated to the determination of accurate core magnetic field models and of the Euler angles between the magnetic sensors and the satellite reference frame.The dedicated core field model estimation is derived directly from the GFZ Reference Internal Magnetic Model (GRIMM) inversion and modeling family.The data selection techniques and the model parameterizations are similar to what were used for the derivation of the second ( Lesur et al., 2010 ) and third versions of GRIMM, although the usage of observatory data is not planned in the framework of the application to Swarm.The regularization technique applied during the inversion process smoothes the magnetic field model in time.The algorithm to estimate the Euler angles is also derived from the CHAMP studies.The inversion scheme includes Euler angle determination with a quaternion representation for describing the rotations.It has been built to handle possible weak time variations of these angles.The modeling approach and software have been initially validated on a simple, noise-free, synthetic data set and on CHAMP vector magnetic field measurements.We present results of test runs applied to the synthetic Swarm test data set. Key words Satellite Earth observation magnetism main field SHA model Swarm.
关键词：Satellite ;Earth observation ;magnetism ;main field ;SHA model ;Swarm