A description of the solar wind-magnetosphere coupling based on nonlinear filters

Details A description of the solar wind-magnetosphere coupling based on nonlinear filters A description of the solar wind-magnetosphere coupling based on nonlinear filters

Mar 1995

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995jgr...100.3495v&link_type=abstract

Journal of Geophysical Research (ISSN 0148-0227), vol. 100, no. A3, p. 3495-3512

Computer Science

Performance

101

Earth Magnetosphere, Mathematical Models, Nonlinear Filters, Prediction Analysis Techniques, Solar Terrestrial Interactions, Solar Wind, Data Correlation, Iterative Solution, State Estimation, State Vectors, Statistical Analysis

Scientific paper

A nonlinear filtering method is introduced for the study of the solar wind -- magnetosphere coupling and related to earlier linear techniques. The filters are derived from the magnetospheric state, a representation of the magnetospheric conditions in terms of a few global variables, here the auroral electrojet indices. The filters also couple to the input, a representation of the solar wind variables, here the rectified electric field. Filter-based iterative prediction of the indices has been obtained for up to 20 hours. The prediction is stable with respect to perturbations in the initial magnetospheric state; these decrease exponentially at the rate of 30/min. The performance of the method is examined for a wide range of parameters and is superior to that of other linear and nonlinear techniques. In the magnetospheric state representation the coupling is modeled as a small number of nonlinear equations under a time-dependent input.

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