Analyzing Electric Field Morphology Through Data-Model Comparisons of the GEM IM/S Assessment Challenge Events

Details Analyzing Electric Field Morphology Through Data-Model Comparisons of the GEM IM/S Assessment Challenge Events Analyzing Electric Field Morphology Through Data-Model Comparisons of the GEM IM/S Assessment Challenge Events

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsa13b..08l&link_type=abstract

American Geophysical Union, Fall Meeting 2005, abstract #SA13B-08

Other

2730 Magnetosphere: Inner, 2736 Magnetosphere/Ionosphere Interactions (2431), 2768 Plasmasphere, 2778 Ring Current, 2788 Magnetic Storms And Substorms (7954)

Scientific paper

The storm-time inner magnetospheric electric field morphology and dynamics is assessed by comparing numerical modeling results of the plasmasphere and ring current with many in situ and remote sensing data sets. Two magnetic storms are analyzed, April 22, 2001 and October 21-23, 2001, which are the events selected for the Geospace Environment Modeling (GEM) Inner Magnetosphere/Storms (IM/S) Assessment Challenge (IMSAC). The IMSAC seeks to quantify the accuracy of inner magnetospheric models as well as synthesize our understanding of this region. For each storm, the ring current-atmosphere interaction model (RAM) and the dynamic global core plasma model (DGCPM) were run together with various settings for the large-scale convection electric field and the nightside ionospheric conductance. Modeled plasmaspheric parameters were compared with IMAGE-EUV plasmapause extractions and LANL-MPA plume locations and velocities. Modeled ring current parameters were compared with Dst*, LANL-MPA fluxes and moments, IMAGE-MENA images, and IMAGE-HENA images. Both qualitative and quantitative comparisons were made to determine the electric field morphology that allows the model results to best fit the plasma data at various times during these events. It was determined that a shielded Volland-Stern field description driven by the 3-hour Kp index yields moderately accurate results. The simulations with self-consistent electric fields were, in general, better than those with prescribed field choices. This indicates that the time-dependent modulation of the inner magnetospheric electric fields by the nightside ionosphere is quite significant for accurate determination of these fields (and their effects). However, the rankings between the simulations varied depending on the storm and the data set(s) used in determining the order, indicating that each field description did well for some place, time, and energy range during the events, as well as doing less well in other places, times, and energies. Time-dependent settings in the electric field calculation, rather than the fixed values used in the current simulations, are expected to greatly improve the ability of models to track the observations over the course of the storms.

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