Modeling and analysis of ionospheric parameters based on the combination of wavelet transform and autoregressive models

Recent news

Researchers from IKIR FEB RAS participated in the Republic Scientific Conference “Modern methods of mathematical physics and their applications” in Tashkent, Republic of Uzbekistan

Apr 30, 2025

Agreement on the cooperation between IKIR FEB RAS and the Branch of the Russian State University of Oil and Gas named after I.M. Gubkin in Tashkent (Rebublic of Uzbekistan) has been signed

Apr 28, 2025

Geo-radio-location survey on the territory of Karymshina expedition site of IKIR FEB RAS

Apr 25, 2025

Modeling and analysis of ionospheric parameters based on the combination of wavelet transform and autoregressive models

O.V. Mandrikova¹, N.V. Glushkova², I.V. Zhivetev¹

Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS
Kamchatka State Technical University

http://elibrary.ru/item.asp?id=21904287

A method for modeling and analyzing ionospheric parameters is proposed. It is based on the combination of wavelet transform with autoregressive integrated moving average models. The method allows one to identify patterns in ionospheric parameters and obtain a variations forecast. It can also be used to fill in gaps in ionosphere parameters, taking into account their daily and seasonal variation. The method was tested on foF2 data and total electron content data for Kamchatka and Magadan regions. The constructed models of ionospheric parameter natural variations allowed us to analyze ionosphere dynamic regime and make five-hr-ahead forecast. Based on the estimation of model errors, anomalies, which occurred during increased solar activity and strong earthquakes in Kamchatka, were identified.

O.V. Mandrikova, N.V. Glushkova, I.V. Zhivetyev Modeling and analysis of ionospheric parameters based on the combination of wavelet transform and autoregression models// Geomagnetism and Aeronomy. 2014. vol. 54. No. 5. pp. 638-645. DOI: 10.7868/S0016794014050101