On the uniqueness of linear moving-average filters for the solar wind-auroral geomagnetic activity coupling

Details On the uniqueness of linear moving-average filters for the solar wind-auroral geomagnetic activity coupling On the uniqueness of linear moving-average filters for the solar wind-auroral geomagnetic activity coupling

Apr 1995

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995jgr...100.5637v&link_type=abstract

Journal of Geophysical Research (ISSN 0148-0227), vol. 100, no. A4, p. 5637-5641

Computer Science

Numerical Analysis

6

Auroras, Earth Magnetosphere, Linear Filters, Solar Terrestrial Interactions, Solar Wind, Circuits, Fourier Transformation, Functional Analysis, Harmonic Oscillators, Numerical Analysis, Time Functions

Scientific paper

The relation between the solar wind input to the magetosphere, VB(sub South), and the auroral geomagnetic index AL is modeled with two linear moving-average filtering methods: linear prediction filters and a driven harmonic oscillator in the form of an electric circuit. Although the response of the three-parameter oscillator is simpler than the filter's, the methods yield similar linear timescales and values of the prediction-observation correlation and the prediction Chi(exp 2). Further the filter responses obtained by the two methods are similar in their long-term features. In these aspects the circuit model is equivalent to linear prediction filtering. This poses the question of uniqueness and proper interpretation of detailed features of the filters such as response peaks. Finally, the variation of timescales and filter responses with the AL activity level is discussed.

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