Prediction of theDstIndex and Analysis of Its Dependence on Solar Wind Parameters Using Neural Network
Author:
Affiliation:
1. National Research Institute of Astronomy and Geophysics; Helwan Egypt
2. Faculty of Science; Zagazig University; Zagazig Egypt
Publisher
American Geophysical Union (AGU)
Subject
Atmospheric Science
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1029/2018SW001863/fullpdf
Reference57 articles.
1. Prediction of development of geomagnetic storms using the solar wind-magnetosphere energy coupling function epsilon;Akasofu;Planetary and Space Science,1981
2. Relativity and the solar wind: The Maxwell-equation origins of the solar-wind motional electric field;Borovsky;Journal of Electromagnetic Analysis and Applications,2016
3. Data derived NARMAX Dst model;Boynton;Annales Geophysicae,2011
4. An empirical relationship between interplanetary conditions and Dst;Burton;Journal of Geophysical Research,1975
5. A nonlinear autoregressive approach to statistical prediction of disturbance storm time geomagnetic fluctuations using solar data;Caswell;Journal of Signal and Information Processing,2014
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