Multiscale variation model and activity level estimation algorithm of the Earth's magnetic field based on wavelet packets
Oksana V. Mandrikova,Igor S. Solovyev,Sergey Y. Khomutov,Vladimir V. Geppener,Dmitry M. Klionskiy,and Mikhail I. Bogachev
Oksana V. Mandrikova
Laboratory of System Analysis (LSA), Institute of Cosmophysical
Research and Radio Wave Propagation, Far Eastern Branch
of the Russian
Academy of Sciences, Paratunka, Kamchatka region, Russian Federation
Kamchatka State Technical University, Petropavlovsk-Kamchatsky,
Russian Federation
Igor S. Solovyev
Laboratory of System Analysis (LSA), Institute of Cosmophysical
Research and Radio Wave Propagation, Far Eastern Branch
of the Russian
Academy of Sciences, Paratunka, Kamchatka region, Russian Federation
Kamchatka State Technical University, Petropavlovsk-Kamchatsky,
Russian Federation
Geophysical Observatory, Institute of Cosmophysical Research and Radio
Wave Propagation, Far Eastern Branch of the Russian Academy of Sciences,
Paratunka, Kamchatka region, Russian Federation
Vladimir V. Geppener
Computer Science Department, Saint Petersburg Electrotechnical
University “LETI”, Saint Petersburg, Russian Federation
Data analysis of the geomagnetic field is needed for space weather prediction. Conventional techniques do not always provide sufficient efficiency. We suggest new techniques for processing and analyzing geomagnetic data based on the wavelet transform for studying the dynamics and spatiotemporal distribution of geomagnetic perturbations. The paper discusses prestorm short-term increases of geomagnetic activity and the features of different magnetospheric processes for increased solar activity.
Data analysis of the geomagnetic field is needed for space weather prediction. Conventional...