Variation of Total Electron Content over May 10 - 13 2024 Geomagnetic Super Storm in South Africa

This study investigates the variation of Total Electron Content (TEC) over South Africa during the geomagnetic superstorm of May 10 - 13, 2024. This study aims to analyze the variation of TEC over South Africa during the May 10 - 13, 2024, geomagnetic superstorm using data from the IRI-2020 model, GNSS-based TEC measurements, and other geomagnetic parameters. The root mean square error (RMSE) method was applied to quantify the deviations between GPS-derived TEC measurements and the IRI-2020 model during the geomagnetic storm. The results reveal significant TEC fluctuations, with a pronounced increase during the main phase due to prompt penetration electric fields (PPEFs) and storm-induced ionospheric disturbances. This was followed by a sharp TEC depletion in the recovery phase, attributed to thermospheric composition changes, particularly oxygen-to-nitrogen ratio variations. Magnetometer H-component observations further confirm the strong geomagnetic activity associated with the storm, indicating enhanced ionospheric currents and electrodynamic coupling. Latitudinal variations in TEC revealed complex ionospheric dynamics, with more pronounced disturbances at mid-latitudes. The ionospheric irregularities affected GNSS-based positioning, highlighting the impact of geomagnetic storms on navigation systems. These findings provide valuable insights into ionospheric storm effects over South Africa, contributing to improved space weather forecasting, GNSS accuracy, and regional ionospheric modeling.

Authors

Institutions

Publication Details

Journal
International Journal of Astrophysics and Space Science
Published
2025-04-11
DOI
https://doi.org/10.11648/j.ijass.20251302.11
Citations
4
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
4.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Variation of Total Electron Content over May 10 - 13 2024 Geomagnetic Super Storm in South Africa

Efrem Amanuel Data
4 citations
International Journal of Astrophysics and Space Science
Ionosphere and magnetosphere dynamics
4.62
article

Variation of Total Electron Content over May 10 - 13 2024 Geomagnetic Super Storm in South Africa

Efrem Amanuel Data
article en
4 citations

Abstract

This study investigates the variation of Total Electron Content (TEC) over South Africa during the geomagnetic superstorm of May 10 - 13, 2024. This study aims to analyze the variation of TEC over South Africa during the May 10 - 13, 2024, geomagnetic superstorm using data from the IRI-2020 model, GNSS-based TEC measurements, and other geomagnetic parameters. The root mean square error (RMSE) method was applied to quantify the deviations between GPS-derived TEC measurements and the IRI-2020 model during the geomagnetic storm. The results reveal significant TEC fluctuations, with a pronounced increase during the main phase due to prompt penetration electric fields (PPEFs) and storm-induced ionospheric disturbances. This was followed by a sharp TEC depletion in the recovery phase, attributed to thermospheric composition changes, particularly oxygen-to-nitrogen ratio variations. Magnetometer H-component observations further confirm the strong geomagnetic activity associated with the storm, indicating enhanced ionospheric currents and electrodynamic coupling. Latitudinal variations in TEC revealed complex ionospheric dynamics, with more pronounced disturbances at mid-latitudes. The ionospheric irregularities affected GNSS-based positioning, highlighting the impact of geomagnetic storms on navigation systems. These findings provide valuable insights into ionospheric storm effects over South Africa, contributing to improved space weather forecasting, GNSS accuracy, and regional ionospheric modeling.

International Journal of Astrophysics and Space ScienceVol. 13(2)
Wolaita Sodo University (ET)
National Aeronautics and Space Administration
Openalex Percentile: Top 6%
Ionosphere and magnetosphere dynamics
4.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.