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| Titel |
Forecasting relativistic electron flux using dynamic multiple regression models |
| VerfasserIn |
H.-L. Wei, S. A. Billings, A. Surjalal Sharma, S. Wing, R. J. Boynton, S. N. Walker |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
0992-7689
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| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 29, no. 2 ; Nr. 29, no. 2 (2011-02-23), S.415-420 |
| Datensatznummer |
250016981
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| Publikation (Nr.) |
 copernicus.org/angeo-29-415-2011.pdf |
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| Zusammenfassung |
| The forecast of high energy electron fluxes in the radiation belts is
important because the exposure of modern spacecraft to high energy particles
can result in significant damage to onboard systems. A comprehensive
physical model of processes related to electron energisation that can be
used for such a forecast has not yet been developed. In the present paper a
systems identification approach is exploited to deduce a dynamic multiple
regression model that can be used to predict the daily maximum of high
energy electron fluxes at geosynchronous orbit from data. It is shown that
the model developed provides reliable predictions. |
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