Multi-input data derived Dst model

Details Multi-input data derived Dst model Multi-input data derived Dst model

Jun 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007jgra..11206205z&link_type=abstract

Journal of Geophysical Research, Volume 112, Issue A6, CiteID A06205

Physics

Space Weather: Models, Space Weather: Forecasting (2722), Magnetospheric Physics: Magnetic Storms And Substorms (7954), Magnetospheric Physics: Solar Wind/Magnetosphere Interactions

Scientific paper

A multi-input single-output (MISO) discrete time model is identified for the D st dynamics using the Nonlinear Autoregressive Moving Average Model with Exogenous Input (NARMAX) approach to describe the dynamics of the geomagnetic index D st under the influence of two solar wind parameters V B s and the dynamical pressure P. The identified model provides a concise representation for the evolution of the D st index and is able to forecast the dynamics of D st more accurately in comparison with previously derived single-input NARMAX models.

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