Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 9
Articles | Volume 25, issue 9
https://doi.org/10.5194/acp-25-5009-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-5009-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 9
Research article
 | 
14 May 2025
Research article |  | 14 May 2025

Effects of sudden stratospheric warmings on the global ionospheric total electron content using a machine learning analysis

Guanyi Ma and Klemens Hocke

Viewed

Total article views: 1,699 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,046 428 225 1,699 59 68
  • HTML: 1,046
  • PDF: 428
  • XML: 225
  • Total: 1,699
  • BibTeX: 59
  • EndNote: 68
Views and downloads (calculated since 28 Oct 2024)
Cumulative views and downloads (calculated since 28 Oct 2024)

Viewed (geographical distribution)

Total article views: 1,699 (including HTML, PDF, and XML) Thereof 1,699 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Apr 2026
Download
Short summary
We analyse the influences of sudden stratospheric warming (SSW) on diurnal/semidiurnal variations of the ionosphere with the global total electron content (TEC) data from 1998 to 2022. We use machine learning (ML) to establish the TEC (ML-TEC) model related to the solar/geomagnetic activities and seasonal change from the TEC data. Subtracting the ML-TEC from the observed TEC, we find a global SSW-induced enhancement in diurnal/semidiurnal TEC variations.
Read more
Share
Altmetrics
Final-revised paper
Preprint