Articles | Volume 40, issue 1
https://doi.org/10.5194/angeo-40-11-2022
https://doi.org/10.5194/angeo-40-11-2022
Regular paper
 | 
12 Jan 2022
Regular paper |  | 12 Jan 2022

Echo state network model for analyzing solar-wind effects on the AU and AL indices

Shin'ya Nakano and Ryuho Kataoka

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Latest update: 24 Jul 2024
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Short summary
The relationships between auroral activity and the solar-wind conditions are modeled with a machine-learning technique. The impact of various solar-wind parameters on the auroral activity is then evaluated by putting artificial inputs into the trained machine-learning model. One of the notable findings is that the solar-wind density effect on the auroral activity is emphasized under high solar-wind speed and weak solar-wind magnetic field.