Abstract
AbstractA new solar wind‐driven global dynamic plasmapause (NSW‐GDP) model has been constructed based on the largest currently available database containing 49,119 plasmapause crossing locations and 3957 plasmapause profiles (corresponding to 48,899 plasmapause locations), from 18 satellites during 1977–2015 covering four solar cycles. This model is compiled by the Levenberg‐Marquardt method for nonlinear multiparameter fitting and parameterized by VSW, BZ, SYM‐H, and AE. Continuous and smooth magnetic local time dependence controlled mainly by the solar wind‐driven convection electric field ESW is also embedded in this model. Compared with previous empirical models based on our database, this new model improves the forecasting accuracy and capability for the global plasmapause. The diurnal, seasonal, and solar cycle variations of the plasmapause can be captured by the new model. The NSW‐GDP model can potentially be used to forecast the global plasmapause shape with upstream solar wind and interplanetary magnetic field parameters and corresponding predicted values of SYM‐H and AE and can also be used as input parameters for other inner magnetospheric coupling models, such as dynamic radiation belt and ring current models and even MHD models.
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