Estimation of Geomagnetic Secular Variation by Machine Learning with Extended Kalman Filter

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Sho Sato
DOI: 10.5281/zenodo.18244944
Cited by: 0

Abstract

Added CITATION.cff and README.md; Ready for Zenodo upload. Full Changelog: https://github.com/satshout/EKF-RNN_B_LOD_LDT/compare/v0.1...v1.0

Fields of Study & Subjects

Geomagnetism and Paleomagnetism Studies Ionosphere and magnetosphere dynamics Model Reduction and Neural Networks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 January 2026