Open Issues in Statistical Forecasting of Solar Proton Events: A Machine Learning Perspective

Open Issues in Statistical Forecasting of Solar Proton Events: A Machine Learning Perspective

Abstract Several techniques have been developed in the last two decades to forecast the occurrence of Solar Proton Events (SPEs), mainly based on the statistical association between the >10 MeV proton flux and precursor parameters. The Empirical model for Solar Proton Events Real Time Alert (ESPE...

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Bibliographic Details
Main Authors: Mirko Stumpo, Simone Benella, Monica Laurenza, Tommaso Alberti, Giuseppe Consolini, Maria Federica Marcucci
Format: Article
Language:English
Published: Wiley 2021-10-01
Series:Space Weather
Subjects:
Machine learning
solar flares
solar proton events
space weather
statistical SPE forecasting
Online Access:https://doi.org/10.1029/2021SW002794
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https://doi.org/10.1029/2021SW002794

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