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The current paper contains a description of a new postprocessing methodology for Schumann Resonance data, which provides resonance characteristics in terms of probability density function. This new approach has been applied for Mikhnevo observatory SR data during 2016{2020 to yield seasonal variations of resonance characteristics.
Egor S. Goncharov,Andrey N. Lyakhov, andTatiana V. Losseva
"Seasonal Schumann Resonance variations according to magnetic field measurements at Mikhnevo observatory", Proc. SPIE 11916, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 119167W (15 December 2021); https://doi.org/10.1117/12.2603361
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Egor S. Goncharov, Andrey N. Lyakhov, Tatiana V. Losseva, "Seasonal Schumann Resonance variations according to magnetic field measurements at Mikhnevo observatory," Proc. SPIE 11916, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 119167W (15 December 2021); https://doi.org/10.1117/12.2603361