MEMPSEP‐III. A Machine Learning‐Oriented Multivariate Data Set for Forecasting the Occurrence and Properties of Solar Energetic Particle Events Using a Multivariate Ensemble Approach

Abstract We introduce a new multivariate data set that utilizes multiple spacecraft collecting in‐situ and remote sensing heliospheric measurements shown to be linked to physical processes responsible for generating solar energetic particles (SEPs). Using the Geostationary Operational Environmental...

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Principais autores:	Kimberly Moreland, Maher A. Dayeh, Hazel M. Bain, Subhamoy Chatterjee, Andrés Muñoz‐Jaramillo, Samuel T. Hart
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-09-01
coleção:	Space Weather
Assuntos:	SEPs forecasting data set model data curation machine learning
Acesso em linha:	https://doi.org/10.1029/2023SW003765
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