Annales Geophysicae
Annales Geophysicae
ANGEO
Articles | Volume 40, issue 1
Articles | Volume 40, issue 1
https://doi.org/10.5194/angeo-40-11-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-40-11-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 40, issue 1
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

Viewed

Total article views: 2,507 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,955 483 69 2,507 61 81
  • HTML: 1,955
  • PDF: 483
  • XML: 69
  • Total: 2,507
  • BibTeX: 61
  • EndNote: 81
Views and downloads (calculated since 20 Sep 2021)
Cumulative views and downloads (calculated since 20 Sep 2021)

Viewed (geographical distribution)

Total article views: 2,507 (including HTML, PDF, and XML) Thereof 2,448 with geography defined and 59 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 May 2025
Download
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.
Read more
Share