文章基本信息

标题：The Kalmag model as a candidate for IGRF-13
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作者：Julien Baerenzung ; Matthias Holschneider ; Johannes Wicht 等
期刊名称：Earth, Planets and Space
电子版ISSN：1880-5981
出版年度：2020
卷号：72
期号：1
页码：1-13
DOI：10.1186/s40623-020-01295-y
出版社：Springer Verlag
摘要：We present a new model of the geomagnetic field spanning the last 20 years and called Kalmag. Deriving from the assimilation of CHAMP and Swarm vector field measurements, it separates the different contributions to the observable field through parameterized prior covariance matrices. To make the inverse problem numerically feasible, it has been sequentialized in time through the combination of a Kalman filter and a smoothing algorithm. The model provides reliable estimates of past, present and future mean fields and associated uncertainties. The version presented here is an update of our IGRF candidates; the amount of assimilated data has been doubled and the considered time window has been extended from [2000.5, 2019.74] to [2000.5, 2020.33].
关键词：Geomagnetic feld; Secular variation; Assimilation; Kalman flter; Machine learning