data derived narmax dst model
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ID: 176664
2011
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Abstract
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.
| Reference Key |
boynton2011annalesdata
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|---|---|
| Authors | ;R. J. Boynton;M. A. Balikhin;S. A. Billings;A. S. Sharma;O. A. Amariutei |
| Journal | journal of food measurement and characterization |
| Year | 2011 |
| DOI |
10.5194/angeo-29-965-2011
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| URL | |
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