Deep Neural Networks With Convolutional and LSTM Layers for SYM‐H and ASY‐H Forecasting

Deep Neural Networks With Convolutional and LSTM Layers for SYM‐H and ASY‐H Forecasting

Abstract Geomagnetic indices quantify the disturbance caused by the solar activity on a planetary scale or in particular regions of the Earth. Among them, the SYM‐H and ASY‐H indices represent the (longitudinally) symmetric and asymmetric geomagnetic disturbance of the horizontal component of the ma...

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Bibliographic Details
Main Authors:	Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid
Format:	Article
Language:	English
Published:	Wiley 2021-06-01
Series:	Space Weather
Online Access:	https://doi.org/10.1029/2021SW002748
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