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**FULL TITLE** ASP Conference Series, Vol. **VOLUME**, **YEAR OF PUBLICATION**
 

Summary: **FULL TITLE**
ASP Conference Series, Vol. **VOLUME**, **YEAR OF PUBLICATION**
**NAMES OF EDITORS**
Identification of nonlinear space weather models of the
Van Allen radiation belts using Volterra networks
M. Taylor, I.A. Daglis and A. Anastasiadis
Institute for Space Applications and Remote Sensing(ISARS), National
Observatory of Athens(NOA), Metaxa and Vasillis Pavlou Street,
Penteli, Athens 15236, Greece.
D. Vassiliadis
Department of Physics, Hodges Hall, PO Box 6315, West Virginia
University, Morgantown, WV 26506-6315, USA.
Abstract. Many efforts have been made to develop general dynamical mod-
els of the Van Allen radiation belts based on data alone. Early linear prediction
filter studies focused on the response of daily-averaged relativistic electrons at
geostationary altitudes(5; 1). Vassiliadis et al (2005)(10) extended this technique
spatially by incorporating SAMPEX electron flux data into linear prediction fil-
ters for a broad range of L-shells from 1.1 to 10.0 RE. Nonlinear state space
models(6) have provided useful initial results on the timescales involved in mod-
elling the impulse-reponse of the radiation belts. Here, we show how NARMAX

  

Source: Anastasiadis, Anastasios - Institute for Space Applications and Remote Sensing, National Observatory of Athens

 

Collections: Physics