Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks

Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks

Abstract Forecasting geomagnetic indices represents a key point to develop warning systems for the mitigation of possible effects of severe geomagnetic storms on critical ground infrastructures. Here we focus on SYM‐H index, a proxy of the axially symmetric magnetic field disturbance at low and midd...

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Bibliographic Details
Main Authors: F. Siciliano, G. Consolini, R. Tozzi, M. Gentili, F. Giannattasio, P. De Michelis
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:Space Weather
Subjects:
forecasting
neural networks
geomagnetic storms
SYM‐H index
Online Access:https://doi.org/10.1029/2020SW002589
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https://doi.org/10.1029/2020SW002589

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