Operational SYM‐H Forecasting With Confidence Intervals Using Deep Neural Networks

Operational SYM‐H Forecasting With Confidence Intervals Using Deep Neural Networks

Abstract In this study, we develop a robust real‐time forecast system for the SYM‐H index using Deep Neural Networks and real‐time Solar Wind measurements along with Interplanetary Magnetic Field parameters. This system provides not only one‐off forecasts but also quantile‐based confidence intervals...

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Bibliographic Details
Main Authors: Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Space Weather
Subjects:
machine learning
SYM‐H
forecasting
prediction interval
operational
Online Access:https://doi.org/10.1029/2024SW004039
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https://doi.org/10.1029/2024SW004039

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