Physics
Scientific paper
Dec 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agufmsm14a..01z&link_type=abstract
American Geophysical Union, Fall Meeting 2009, abstract #SM14A-01
Physics
[2730] Magnetospheric Physics / Magnetosphere: Inner, [2753] Magnetospheric Physics / Numerical Modeling, [2788] Magnetospheric Physics / Magnetic Storms And Substorms
Scientific paper
Significant progress has been made in recent years in understanding and modeling the coupling between the inner magnetospheric plasma and the magnetic field. This coupling is especially important during geomagnetic storms, when the large ring current pressure significantly distorts the field; in turn, the distorted field strongly alters the transport and evolution of the particle populations (both low-energy plasma and radiation belts). To describe this complex plasma/field interaction we have developed a self-consistent inner magnetosphere numerical model, RAM-SCB. The RAM-SCB code couples a kinetic ring current model (RAM) with a 3-D plasma equilibrium code. A unique strength of RAM-SCB is that the magnetic field is computed in force balance with fully anisotropic pressures. The anisotropy-dependent plasma wave excitation is an important factor in storm-time inner magnetosphere dynamics. RAM-SCB takes boundary conditions from either empirical models or large-scale space weather models such as the Space Weather Modeling Framework (SWMF). Through describing results from simulations of actual geomagnetic storms we outline the major findings from our work with RAM-SCB. These include the effect of the coupling on the ring current and Dst, the role of anisotropy, and the importance of the induced electric fields. We also describe recent progress advancing the predictive capabilities of RAM-SCB and its role as an inner magnetosphere module in a global space weather model: this progress includes the expansion of the outer boundary from geosynchronous orbit to 10 RE from Earth and the addition of the geodipole tilt. Finally, we outline several outstanding challenges in inner magnetosphere modeling research, as well as their possible resolutions.
Jordanova Vania
Reeves Geoff D.
Welling Dan T.
Zaharia Sorin G.
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