Journal Article
Published 2026
Geomagnetic control of ionospheric TEC and irregularities over the African sector using GNSS observations
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Dr. Robert Suya
Main Author
Physical Planning and Land Surveying
42 total publications
Suya holds a PhD in Navigation and Satellite Positioning from the University of Nottingham. He also holds an MSc in Geodesy and Engineering Surveying from the same university. Suya is a Global Navigation Satellite Systems (GNSS) enthusiast and a geod...
UN Sustainable Development Goals
Global Impact
Research Fields & Tags
Primary Author
Dr. Robert Suya
Co-Authors
John Bosco Ogwang
Abstract
Abstract
GNSS-derived total electron content (TEC) is a key observable for characterising ionospheric variability and assessing its impact on positioning, navigation, and timing (PNT) systems. However, most studies over the African sector focus on climatological means or event-based analyses, leaving the statistical distribution and extreme-value behaviour of TEC insufficiently quantified. This study addresses this gap using a comprehensive statistical analysis of GNSS TEC observations from five stations spanning equatorial, low-latitude, and mid-latitude African regions over the period 2015–2020. A probabilistic statistical framework is applied to characterise TEC distributions, latitudinal variability, geomagnetic modulation, and irregularity intensity. A Tail Amplification Factor (TAF) is introduced to quantify enhancements in upper-tail TEC behaviour under geomagnetically disturbed conditions. Results show that TEC exhibits strongly non-Gaussian behaviour, with persistent right-skewness and heavy tails across all stations. A clear latitudinal gradient is observed, with higher TEC values at low geomagnetic latitudes and systematic decreases toward mid-latitudes. Geomagnetic activity increases mean TEC by approximately 26% and enhances upper-tail percentiles by up to a factor of 1.29. Irregularity intensity increases under disturbed conditions, with a network-wide amplification of approximately 1.5. These results demonstrate that African ionospheric variability is governed by coupled latitudinal structure and geomagnetic forcing, with extreme-value behaviour playing a dominant role. The findings highlight the importance of distribution-aware approaches for improved ionospheric characterisation and GNSS performance assessment.
GNSS-derived total electron content (TEC) is a key observable for characterising ionospheric variability and assessing its impact on positioning, navigation, and timing (PNT) systems. However, most studies over the African sector focus on climatological means or event-based analyses, leaving the statistical distribution and extreme-value behaviour of TEC insufficiently quantified. This study addresses this gap using a comprehensive statistical analysis of GNSS TEC observations from five stations spanning equatorial, low-latitude, and mid-latitude African regions over the period 2015–2020. A probabilistic statistical framework is applied to characterise TEC distributions, latitudinal variability, geomagnetic modulation, and irregularity intensity. A Tail Amplification Factor (TAF) is introduced to quantify enhancements in upper-tail TEC behaviour under geomagnetically disturbed conditions. Results show that TEC exhibits strongly non-Gaussian behaviour, with persistent right-skewness and heavy tails across all stations. A clear latitudinal gradient is observed, with higher TEC values at low geomagnetic latitudes and systematic decreases toward mid-latitudes. Geomagnetic activity increases mean TEC by approximately 26% and enhances upper-tail percentiles by up to a factor of 1.29. Irregularity intensity increases under disturbed conditions, with a network-wide amplification of approximately 1.5. These results demonstrate that African ionospheric variability is governed by coupled latitudinal structure and geomagnetic forcing, with extreme-value behaviour playing a dominant role. The findings highlight the importance of distribution-aware approaches for improved ionospheric characterisation and GNSS performance assessment.
Year of Publication
2026
External Digital Object URL
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Journal Name
Journal of Atmospheric and Solar-Terrestrial Physics
Volume
287
Issue
106958
Page Numbers
1364-6826
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