Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model

0330299 - GFÚ 2010 RIV US eng J - Journal Article
Valach, F. - Revallo, M. - Bochníček, Josef - Hejda, Pavel
Solar energetic particle flux enhancement as a predictor of geomagnetic activity in a neural network-based model.
Space Weather-the International Journal of Research and Applications. Roč. 7, April (2009), S04004/1-S04004/7. E-ISSN 1542-7390
R&D Projects: GA AV ČR(CZ) IAA300120608; GA AV ČR 1QS300120506
Institutional research plan: CEZ:AV0Z30120515
Keywords : neural networks * coronal mass ejections * energetic particles * flares * radio emissions * magnetic storms
Subject RIV: DE - Earth Magnetism, Geodesy, Geography
Impact factor: 1.845, year: 2009

Coronal mass ejections (CMEs) are believed to be the principal cause of increased geomagnetic activity. They are regarded as being in context of a series of related solar energetic events, such as X-ray flares (XRAs) accompanied by solar radio bursts (RSPs) and also by solar energetic particle (SEP) flux. Two types of the RSP events are known to be geoeffective, namely, the RSP of type II, interpreted as the signature of shock initiation in the solar corona, and type IV, representing material moving upward in the corona. The SEP events causing geomagnetic response are known to be produced by CME-driven shocks. In this paper, we use the method of the artificial neural network in order to quantify the geomagnetic response of particular solar events. The data concerning XRAs and RSPs II and/or IV together with their heliographic positions are taken as the input for the neural network.
Permanent Link: http://hdl.handle.net/11104/0176122