Analysis of Ionospheric Response and GNSS Positioning on Geodetic and Low-Cost Receivers in Mexico During the May 2024 Geomagnetic Storm

Geomagnetic storms can severely disturb the ionosphere, degrading Global Navigation Satellite System (GNSS) performance, particularly at low latitudes. The 10 May 2024 superstorm produced a strong ionospheric response across Mexico, with well-defined positive and negative phases observed at all analyzed stations. The proximity in time of %dTEC peaks to the second and third steps of the storm’s main phase, together with their local time dependence, indicates that Prompt Penetration Electric Fields (PPEFs) dominated the initial positive phase on the dayside. These eastward electric fields uplifted the F-region plasma, enhancing TEC values—especially at northern stations, where increases reached ±180%. In contrast, the subsequent nighttime depletion and extended recovery were mainly driven by composition-related plasma loss and enhanced recombination. A suppression of TEC followed the positive phase, with depletions between −58% and −77%, showing a persistent latitudinal gradient. Low-cost GNSS receivers successfully captured these ionospheric signatures but exhibited higher positioning degradation—up to 50% greater than geodetic-grade receivers. Multi-constellation Precise Point Positioning (PPP) mitigated these effects, reducing 3D errors by up to 23% and 53% in geodetic and low-cost receivers, respectively. These findings reveal the day–night dependence of ionospheric storm phases and underscore the importance of regional multi-GNSS monitoring during extreme space weather.

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Publication Details

Journal
Geosciences
Published
2025-10-22
DOI
https://doi.org/10.3390/geosciences15110408
Citations
1
Primary Topic
Earthquake Detection and Analysis
Type
article
Field-Weighted Citation Impact
1.87

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article

Analysis of Ionospheric Response and GNSS Positioning on Geodetic and Low-Cost Receivers in Mexico During the May 2024 Geomagnetic Storm

José Ramón Martínez Batlle, Carlos A. Martínez-Félix, J. René Vázquez-Ontiveros, Angela Melgarejo-Morales
1 citations
Geosciences
Earthquake Detection and Analysis
1.87
article

Analysis of Ionospheric Response and GNSS Positioning on Geodetic and Low-Cost Receivers in Mexico During the May 2024 Geomagnetic Storm

José Ramón Martínez Batlle, Carlos A. Martínez-Félix, J. René Vázquez-Ontiveros, Angela Melgarejo-Morales
article en
1 citations

Abstract

Geomagnetic storms can severely disturb the ionosphere, degrading Global Navigation Satellite System (GNSS) performance, particularly at low latitudes. The 10 May 2024 superstorm produced a strong ionospheric response across Mexico, with well-defined positive and negative phases observed at all analyzed stations. The proximity in time of %dTEC peaks to the second and third steps of the storm’s main phase, together with their local time dependence, indicates that Prompt Penetration Electric Fields (PPEFs) dominated the initial positive phase on the dayside. These eastward electric fields uplifted the F-region plasma, enhancing TEC values—especially at northern stations, where increases reached ±180%. In contrast, the subsequent nighttime depletion and extended recovery were mainly driven by composition-related plasma loss and enhanced recombination. A suppression of TEC followed the positive phase, with depletions between −58% and −77%, showing a persistent latitudinal gradient. Low-cost GNSS receivers successfully captured these ionospheric signatures but exhibited higher positioning degradation—up to 50% greater than geodetic-grade receivers. Multi-constellation Precise Point Positioning (PPP) mitigated these effects, reducing 3D errors by up to 23% and 53% in geodetic and low-cost receivers, respectively. These findings reveal the day–night dependence of ionospheric storm phases and underscore the importance of regional multi-GNSS monitoring during extreme space weather.

GeosciencesVol. 15(11)
Universidad Autónoma de Santo Domingo (DO), Universidad Autónoma de Sinaloa (MX), Universidad del Valle de México (MX)
National Oceanic and Atmospheric Administration
Openalex Percentile: Top 13%
Earthquake Detection and Analysis
1.87
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