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| Titel |
Data derived NARMAX Dst model |
| VerfasserIn |
R. J. Boynton, M. A. Balikhin, S. A. Billings, A. S. Sharma, O. A. Amariutei |
| 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. 6 ; Nr. 29, no. 6 (2011-06-01), S.965-971 |
| Datensatznummer |
250017030
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| Publikation (Nr.) |
 copernicus.org/angeo-29-965-2011.pdf |
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| Zusammenfassung |
| The NARMAX OLS-ERR methodology is applied to identify a mathematical model
for the dynamics of the Dst index. The NARMAX OLS-ERR algorithm, which is
widely used in the field of system identification, is able to identify a
mathematical model for a wide class of nonlinear systems using input and
output data. Solar wind-magnetosphere coupling functions, derived from
analytical or data based methods, are employed as the inputs to such models
and the outputs are geomagnetic indices. The newly deduced coupling function,
p1/2V4/3BTsin6(θ/2), has been implemented as an input to
model the Dst dynamics. It was shown that the identified model has a very
good forecasting ability, especially with the geomagnetic storms. |
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