Ion Cyclotron and Ion Skin Depth Effects Influences on Substorm Dynamics as Determined by Multi-Fluid/Multi-Scale Modeling: Small Scale versus Large Scale

Details Ion Cyclotron and Ion Skin Depth Effects Influences on Substorm Dynamics as Determined by Multi-Fluid/Multi-Scale Modeling: Small Scale versus Large Scale Ion Cyclotron and Ion Skin Depth Effects Influences on Substorm Dynamics as Determined by Multi-Fluid/Multi-Scale Modeling: Small Scale versus Large Scale

May 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agusmsm33a..03w&link_type=abstract

American Geophysical Union, Spring Meeting 2008, abstract #SM33A-03

Physics

2736 Magnetosphere/Ionosphere Interactions (2431), 2753 Numerical Modeling, 2790 Substorms

Scientific paper

MHD models have been one of the major tools to investigate global magnetospheric dynamics. However, MHD is a single fluid description whereas the magnetosphere's composition is known to vary substantially during activity periods with heavy ionospheric ions often being the dominate ion species in the inner magnetosphere during storm periods. In addition, MHD also neglects ion skin depth and ion cyclotron effects, which are important in thin current sheets and can control the reconnection rate. Multi-fluid modeling offers the opportunity to investigate mass effects on global magnetospheric dynamics, and with recent augmentation of the code with refinement gridding, we are also able to resolve ion skin depth and ion cyclotron effects within a global magnetosphere. Previous work has demonstrated that heavy ion outflows can account for the observed saturation of the cross- polar cap potential, as such has a major influence on global transport of mass, momentum and energy within the magnetosphere. It is shown in this paper that these same outflows can have substantial variations in time and space during a substorm, and in fact are an important contributing factor to substorm onset in an isolated substorm, including the kinking and breakup of the tail current sheet. These processes produce very distinctive signatures that have many properties similar to recent Cluster observations.

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