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Assessing the Impact of Geomagnetic Storms on the Earth’s Ionosphere and Satellite Communication Systems

Authors

  • Elena Maren Voss

    Centre for Ionospheric and Satellite Systems Research Northbridge International Institute of Technology, Oslo, Norway
    Author

DOI:

https://doi.org/10.71465/jgs75

Keywords:

Geomagnetic storms, Ionospheric disturbances, Satellite communications, Total electron content, Ionospheric scintillation

Abstract

Geomagnetic storms disturb the ionosphere through interacting electric fields, particle precipitation, thermospheric heating, and changes in atmospheric composition. Their consequences for satellite services depend on the structure of the disturbed plasma and the design of the receiving system, rather than on magnetic storm intensity alone. This narrative review examines the physical pathways linking solar wind energy input to electron density redistribution, radio propagation errors, scintillation, and communication interruptions. It integrates established ionospheric research, published storm observations, and operational space weather guidance while distinguishing measured findings from analytical illustrations. Particular attention is given to differences between large-scale total electron content variations and small-scale irregularities, because these disturbances require different monitoring and mitigation strategies. An original graph applies the first-order dispersive delay equation to hypothetical electron content values at representative navigation and communication frequencies. The calculation demonstrates frequency sensitivity without claiming to reproduce a particular storm. The review argues that resilience requires coordinated environmental monitoring, suitable receiver tracking, frequency and route diversity, and application-specific integrity checks. Remaining challenges include sparse observations over oceans, imperfect forecasts of irregularities, and limited access to receiver performance records. Improved assessment should connect local plasma conditions to measurable service outcomes and explicitly account for uncertainty.

References

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Published

2026-12-31