PRIME: a probabilistic neural network approach to solar wind propagation from L1

Introduction: For the last several decades, continuous monitoring of the solar wind has been carried out by spacecraft at the first Earth-Sun Lagrange point (L1). Due to computational expense or model limitations, those data often must be propagated to some point closer to the Earth in order to be u...

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Autori principali:	Connor O’Brien, Brian M. Walsh, Ying Zou, Samira Tasnim, Huaming Zhang, David Gary Sibeck
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2023-09-01
Serie:	Frontiers in Astronomy and Space Sciences
Soggetti:	solar wind-magnetosphere interaction solar wind uncertainty magnetosphere machine learning neural network
Accesso online:	https://www.frontiersin.org/articles/10.3389/fspas.2023.1250779/full
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