Articles | Volume 44, issue 1
https://doi.org/10.5194/angeo-44-85-2026
https://doi.org/10.5194/angeo-44-85-2026
Regular paper
 | 
03 Feb 2026
Regular paper |  | 03 Feb 2026

Plasma density estimation from ionograms and geophysical parameters with deep learning

Kian Sartipzadeh, Andreas Kvammen, Björn Gustavsson, Njål Gulbrandsen, Magnar G. Johnsen, Devin Huyghebaert, and Juha Vierinen

Related authors

Observations of fragmented aurora-like emissions and picket fence on the poleward edge of the auroral oval
Sota Nanjo, Katie Herlingshaw, Tima Sergienko, Gaël Cessateur, Noora Partamies, Magnar G. Johnsen, Keisuke Hosokawa, Hervé Lamy, Yasunobu Ogawa, Antti Kero, Shin-ichiro Oyama, and Masatoshi Yamauchi
Ann. Geophys., 44, 63–84, https://doi.org/10.5194/angeo-44-63-2026,https://doi.org/10.5194/angeo-44-63-2026, 2026
Short summary
Mean Energy variation of Diffuse Aurora Observed with the ASIS Spectrograph
Gaël Cessateur, Keisuke Hosokawa, Hervé Lamy, Sota Nanjo, Mathieu Barthelemy, Magnar G. Johnsen, and Romain Maggiolo
EGUsphere, https://doi.org/10.5194/egusphere-2026-385,https://doi.org/10.5194/egusphere-2026-385, 2026
This preprint is open for discussion and under review for Annales Geophysicae (ANGEO).
Short summary
Time-dependent modeling of Alfvénic precipitation observed in the ionosphere
Etienne Gavazzi, Andres Spicher, Björn Gustavsson, James Clemmons, Robert Pfaff, and Douglas Rowland
Ann. Geophys., 44, 1–15, https://doi.org/10.5194/angeo-44-1-2026,https://doi.org/10.5194/angeo-44-1-2026, 2026
Short summary
How well can we forecast local magnetic ground perturbations with existing space weather monitoring resources?
Stephen Omondi, Spencer Mark Hatch, Andreas Kvammen, Magnar Gullikstad Johnsen, Mathew J. Owens, Kristian Solheim Thinn, and Rodrigo López
EGUsphere, https://doi.org/10.5194/egusphere-2025-6298,https://doi.org/10.5194/egusphere-2025-6298, 2026
This preprint is open for discussion and under review for Annales Geophysicae (ANGEO).
Short summary
High latitude, dayside ULF signals observed from ground in Greenland
Marie Vigger Eldor, Magnar Gullikstad Johnsen, Nils Olsen, and Anna Naemi Willer
EGUsphere, https://doi.org/10.5194/egusphere-2025-5396,https://doi.org/10.5194/egusphere-2025-5396, 2025
This preprint is open for discussion and under review for Annales Geophysicae (ANGEO).
Short summary

Cited articles

Ankita, M. and Ram, S. T.: Iterative Gradient Correction (IGC) Method for True Height Analysis of Ionograms, Radio Science, 58, 1–13, https://doi.org/10.1029/2023RS007808, 2023. a
Ankita, M. and Ram, S. T.: A Software Tool for the True Height Analysis of Ionograms Using the Iterative Gradient Correction (IGC) Method, Radio Science, 59, 1–10, https://doi.org/10.1029/2024RS007955, 2024. a
Beynon, W. J. G. and Williams, P. J. S.: Incoherent Scatter of Radio Waves from the Ionosphere, Reports on Progress in Physics, 41, 909–955, https://doi.org/10.1088/0034-4885/41/6/003, 1978. a
Bhattacharyya, A.: On a Measure of Divergence between Two Statistical Populations Defined by Their Probability Distributions, Bulletin of the Calcutta Mathematical Society, 35, 99–109, https://cir.nii.ac.jp/crid/1572261550690788352?lang=en (last accessed: 24 June 2025), 1943. a
Bilitza, D., Pezzopane, M., Truhlik, V., Altadill, D., Reinisch, B. W., and Pignalberi, A.: The International Reference Ionosphere Model: A Review and Description of an Ionospheric Benchmark, Reviews of Geophysics, 60, e2022RG000792, https://doi.org/10.1029/2022RG000792, 2022. a
Download
Short summary
Knowledge of the charged environment in the upper atmosphere is essential for understanding space weather effects on satellites and radio communication. This environment is difficult to estimate at high latitudes, where aurora cause strong variability. We developed an artificial intelligence model to estimate this environment continuously. Our results show that the model provides reliable estimates even during auroral activity, improving monitoring of the polar upper atmosphere.
Share