Revisiting sunspot number as an extreme ultraviolet (EUV) proxy for ionospheric F2 critical frequency

Abstract. This study reconsiders sunspot number (Sn) as a solar extreme ultraviolet (EUV) proxy for modeling the ionospheric F2 layer's critical frequency (foF2) over the period 1960–2023. We compare the performance of Sn with F10.7 and F30 solar radio fluxes, focusing on their ability to model the Ionospheric Global index (IG). Our results reveal that while F30 has shown a better correlation in recent solar cycles, Sn is the most stable and reliable over the entire dataset, obtaining the highest correlation. In addition, if we remove the saturation effects from considering a maximum value of Sn, the correlation increases, outperforming all other proxies and correctly predicting the long-term trend estimated by general circulation models.

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Publication Details

Journal
Annales Geophysicae
Published
2025-01-22
DOI
https://doi.org/10.5194/angeo-43-91-2025
Citations
3
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
3.46
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article

Revisiting sunspot number as an extreme ultraviolet (EUV) proxy for ionospheric F2 critical frequency

Bruno S. Zossi, Trinidad Durán, Blas F. de Haro Barbás, Ana G. Elı́as et al.
3 citations
Annales Geophysicae
Ionosphere and magnetosphere dynamics
3.46
article

Revisiting sunspot number as an extreme ultraviolet (EUV) proxy for ionospheric F2 critical frequency

Bruno S. Zossi, Trinidad Durán, Blas F. de Haro Barbás, Ana G. Elı́as, Franco D. Medina
article en
3 citations

Abstract

Abstract. This study reconsiders sunspot number (Sn) as a solar extreme ultraviolet (EUV) proxy for modeling the ionospheric F2 layer's critical frequency (foF2) over the period 1960–2023. We compare the performance of Sn with F10.7 and F30 solar radio fluxes, focusing on their ability to model the Ionospheric Global index (IG). Our results reveal that while F30 has shown a better correlation in recent solar cycles, Sn is the most stable and reliable over the entire dataset, obtaining the highest correlation. In addition, if we remove the saturation effects from considering a maximum value of Sn, the correlation increases, outperforming all other proxies and correctly predicting the long-term trend estimated by general circulation models.

Annales GeophysicaeVol. 43(1)
National University of Tucumán (AR), Instituto de Física del Sur (AR), Instituto de Química del Noroeste Argentino (AR), Centro Científico Tecnológico - Tucumán (AR), Universidad Nacional del Sur (AR)
Openalex Percentile: Top 9%
Ionosphere and magnetosphere dynamics
3.46
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Revisiting sunspot number as an extreme ultraviolet (EUV) proxy for ionospheric F2 critical frequency — Bruno S. Zossi, Trinidad Durán, et al. · Annales Geophysicae (2025) | TGRS Research Map | TGRS