Joint analysis of the ionospheric parameters and cosmic ray data during periods of magnetic storms 2015

Autor:	Yury Polozov, Timur Zalyaev, Oksana Manrikova
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	lcsh:GE1-350 Geography Autoregressive model Meteorology Artificial neural network Wavelet transform Cosmic ray Storm Ionosphere Space weather Energy (signal processing) lcsh:Environmental sciences
Zdroj:	E3S Web of Conferences, Vol 20, p 01007 (2017)
ISSN:	2267-1242
Popis:	Method of joint analysis of ionospheric parameters and cosmic ray data is proposed. The method allowsto allocate anomalous changes in data before strong magnetic storms. The developed method is based on the application of wavelet transform, neural networks and classical autoregressive models. The application of the method has shown its effectiveness and the possibility of using in the problems of estimating space weather and predicting strong magnetic storms. The research was supported by RSF Grant, project No 14-11-00194.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8d241db0186570499f0649080b99aff https://doaj.org/article/72d2f9bbce314d2d97d8e228e7aa575f Zobrazit plný text záznamu