Articles | Volume 25, issue 9
https://doi.org/10.5194/acp-25-5009-2025
https://doi.org/10.5194/acp-25-5009-2025
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: 576 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
304 93 179 576 20 14
  • HTML: 304
  • PDF: 93
  • XML: 179
  • Total: 576
  • BibTeX: 20
  • EndNote: 14
Views and downloads (calculated since 28 Oct 2024)
Cumulative views and downloads (calculated since 28 Oct 2024)

Viewed (geographical distribution)

Total article views: 576 (including HTML, PDF, and XML) Thereof 576 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 May 2025
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.
Share
Altmetrics
Final-revised paper
Preprint