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A neural network Dst index model driven by input time histories of the solar wind–magnetosphere interaction
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SYSNO ASEP 0433347 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název A neural network Dst index model driven by input time histories of the solar wind–magnetosphere interaction Tvůrce(i) Revallo, M. (SK)
Valach, F. (SK)
Hejda, Pavel (GFU-E) ORCID, RID
Bochníček, Josef (GFU-E) ORCID, RIDZdroj.dok. Journal of Atmospheric and Solar-Terrestrial Physics. - : Elsevier - ISSN 1364-6826
110-111, April (2014), s. 9-14Poč.str. 6 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova solar wind ; magnetosphere ; geomagnetic storm ; Dst index ; artificial neural network Vědní obor RIV DE - Zemský magnetismus, geodézie, geografie CEP OC09070 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Institucionální podpora GFU-E - RVO:67985530 UT WOS 000333999600002 DOI 10.1016/j.jastp.2014.01.011 Anotace A model to forecast 1-hour lead Dst index is proposed. Our approach is based on artificial neural networks (ANN) combined with an analytical model of the solar wind-magnetosphere interaction. Previously, the hourly solar wind parameters have been considered in the analytical model, all of them provided by registration of the ACE satellite. They were the solar wind magnetic field component B-z, velocity V, particle density n and temperature T. The solar wind parameters have been used to compute analytically the discontinuity in magnetic field across the magnetopause, denoted as [B-t]. This quantity has been shown to be important in connection with ground magnetic field variations. The method was published, in which the weighted sum of a sequence of [B-t] was proposed to produce the value of Dst index. The maximum term in the sum, possessing the maximum weight, is the one denoting the contribution of the current state of the near-Earth solar wind. The role of the older states is less important - the weights exponentially decay. Pracoviště Geofyzikální ústav Kontakt Hana Krejzlíková, kniha@ig.cas.cz, Tel.: 267 103 028 Rok sběru 2015
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