2:00 PM - 2:15 PM
[PEM14-02] Spatial-time features and dynamics of ionospheric disturbances during magnetic storms in 2015-2018
Keywords:Ionosphere, data analysis, ionospheric disturbances
In the paper, we modeled and analyzed the ionospheric parameter time course according to the ground station network (the resource http://wdc.nict.go.jp was used). Spatial-time features and dynamics of ionospheric disturbances were studied during magnetic storms which occured in 2015-2018. In the paper, a method proposed by the authors was used to model and to analyze ionospheric data. The method is based on wavelet transform . The method allowed us to study the ionospheric parameter dynamics in detail, to detect ionospheric disturbances and to estimate their characteristics (Fig.1). The method was implemented numerically and adapted for real-time (as data are recorded). Comparison with the traditional approaches [2, 3] (median methods, IRI model) showed high efficiency of the proposed method and the possibility to apply it for on-line analysis of ionospheric data and to detect of ionospheric disturbances.
1. Mandrikova O.V., Fetisova N.V., Polozov Y.A., Solovev I.S., Kupriyanov M.S. Method for modeling of the components of ionospheric parameter time variations and detection of anomalies in the ionosphere coupling of the high and mid latitude ionosphere and its relation to geospace dynamics // Earth, Planets and Space. 2015. Vol. 67. No 1. pp. 131-146. DOI: 10.1186/s40623-015-0301-4
2. Mikhailov A., et al. A method for foF2 monitoring over Spain using the El Arenosillo digisonde current observations // Annals of Geophysics. 1999. Vol. 42 (4). doi:10.4401/ag-3748.
3. Bilitza D. International Reference Ionosphere 2007: Improvement sand new parameters / D. Bilitza, B.W. Reinisch // Advances in space research. 2008. Vol. 42. P. 599-609.