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The predictive power of magnetospheric models for estimating ground magnetic field variation in the United Kingdom (2023)

First Author: Florczak E

Attributed to: SWIMMR Activities in Ground Effects (SAGE) funded by UKRI

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3389/fspas.2023.1095971

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85152559894

Type: Journal Article/Review

Parent Publication: Frontiers in Astronomy and Space Sciences