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

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

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 f...

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Bibliographic Details
Main Authors: Andrew Tangborn, Weijia Kuang, Terence J. Sabaka, Ce Yi
Format: Article
Language:English
Published: SpringerOpen 2021-02-01
Series:Earth, Planets and Space
Subjects:
Geomagnetic Secular Variation
Data Assimilation
Geodynamo Model
Online Access:https://doi.org/10.1186/s40623-020-01324-w

Internet

https://doi.org/10.1186/s40623-020-01324-w

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