A Comparative Study of Solar Wind-Magnetosphere Coupling Models Using Multi-spacecraft and Auroral Indices Data

Computer Science – Databases

Scientific paper

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2722 Forecasting, 2784 Solar Wind/Magnetosphere Interactions, 2788 Storms And Substorms

Scientific paper

A nonlinear and linear filtering techniques are used to model the solar wind-magnetosphere coupling .We report the first results of the comparative analysis of models based on auroral indices and multi-spacecraft data. A linear and nonlinear filtering and forecasting of AL and PC indices as well as the effective lobe magnetic field in the geomagnetotail are presented. AL index filters were calculated from the Bargatze et al. [1985] database of the solar wind data acquired by IMP 8 satellite and geomagnetic index time series. The multi-spacecraft database is compiled by Sergeev and Dmitrieva using the solar wind data from ACE and WIND as well as magnetospheric data with PC index (Vostok and Thule) and effective lobe field data from Geotail and Interball spacecraft. The prediction accuracy for both databases and different subsets of multispacecraft database (with PC index and lobe field outputs) is compared and discussed for linear and nonlinear filter models. Comparative singular spectrum analyses of multi-spacecraft data with Bargatze database indicate similar global and multi-scale signatures as well as new features inherent to spacecraft data only. Satellite observations reveal global lobe-field oscillations with the period around an hour which may indicate an additional magnetosphere's degree of freedom that cannot be resolved by the ground-based observations due to the dissipation in the ionosphere.

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