Forecasting GICs and Geoelectric Fields From Solar Wind Data Using LSTMs: Application in Austria

Forecasting GICs and Geoelectric Fields From Solar Wind Data Using LSTMs: Application in Austria

Abstract The forecasting of local GIC effects has largely relied on the forecasting of dB/dt as a proxy and, to date, little attention has been paid to directly forecasting the geoelectric field or GICs themselves. We approach this problem with machine learning tools, specifically recurrent neural n...

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Bibliographic Details
Main Authors: R. L. Bailey, R. Leonhardt, C. Möstl, C. Beggan, M. A. Reiss, A. Bhaskar, A. J. Weiss
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:Space Weather
Subjects:
geomagnetically induced currents
neural networks
LSTM
space weather
forecasting
Online Access:https://doi.org/10.1029/2021SW002907
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https://doi.org/10.1029/2021SW002907

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