Geomagnetic secular variation forecast using the NASA GEMS ensemble Kalman filter: A candidate SV model for IGRF-13.

IF 3 3区 地球科学
Earth, Planets and Space Pub Date : 2021-01-01 Epub Date: 2021-02-11 DOI:10.1186/s40623-020-01324-w
Andrew Tangborn, Weijia Kuang, Terence J Sabaka, Ce Yi
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引用次数: 4

Abstract

Abstract: We have produced a 5-year mean secular variation (SV) of the geomagnetic field for the period 2020-2025. We use the NASA Geomagnetic Ensemble Modeling System (GEMS), which consists of the NASA Goddard geodynamo model and ensemble Kalman filter (EnKF) with 400 ensemble members. Geomagnetic field models are used as observations for the assimilation, including gufm1 (1590-1960), CM4 (1961-2000) and CM6 (2001-2019). The forecast involves a bias correction scheme that assumes that the model bias changes on timescales much longer than the forecast period, so that they can be removed by successive forecast series. The algorithm was validated on the time period 2010-2015 by comparing with CM6 before being applied to the 2020-2025 time period. This forecast has been submitted as a candidate predictive model of IGRF-13 for the period 2020-2025.

Graphical abstract:

Abstract Image

Abstract Image

Abstract Image

利用NASA GEMS集合卡尔曼滤波预测地磁长期变化:IGRF-13的候选SV模型。
摘要:我们得到了2020-2025年期间地磁场的5年平均长期变化(SV)。本文采用NASA地磁系综建模系统(GEMS),该系统由NASA戈达德地球动力学模型和系综卡尔曼滤波(EnKF)组成,共包含400个系综成员。利用地磁场模型作为同化观测,包括gufm1(1590-1960)、CM4(1961-2000)和CM6(2001-2019)。预报涉及一种偏差校正方案,该方案假定模式偏差在时间尺度上的变化比预报周期长得多,因此可以通过连续的预报序列来消除它们。在将算法应用于2020-2025年之前,通过与CM6进行2010-2015年时间段的对比验证。该预报已作为2020-2025年期间IGRF-13的候选预测模型提交。图形化的简介:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Earth, Planets and Space
Earth, Planets and Space 地学天文-地球科学综合
CiteScore
5.80
自引率
16.70%
发文量
167
期刊介绍: Earth, Planets and Space (EPS) covers scientific articles in Earth and Planetary Sciences, particularly geomagnetism, aeronomy, space science, seismology, volcanology, geodesy, and planetary science. EPS also welcomes articles in new and interdisciplinary subjects, including instrumentations. Only new and original contents will be accepted for publication.
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