On Numerical Generation of Structured Adaptive Computational Grids Based on Variable Geomagnetic Field Geometry

Details On Numerical Generation of Structured Adaptive Computational Grids Based on Variable Geomagnetic Field Geometry On Numerical Generation of Structured Adaptive Computational Grids Based on Variable Geomagnetic Field Geometry

Dec 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003agufmsm21b0210l&link_type=abstract

American Geophysical Union, Fall Meeting 2003, abstract #SM21B-0210

Statistics

Computation

2740 Magnetospheric Configuration And Dynamics, 2753 Numerical Modeling

Scientific paper

Regional numerical models of magnetosphere-ionosphere coupling processes in realistic geomagnetic field configurations are complicated by the need to specify (artificial) computational boundaries of the region of interest and the development of a nonuniform computational grid for solving the relevant system of equations describing, for example, MHD wave propagation. These numerical issues become especially crucial when the solution of the model equations varies rapidly in time and space within the domain of physical interest and when the boundary surfaces also vary in time due to the large-scale evolution of the geomagnetic field. For some classes of dynamical problems in M-I coupling, it may be beneficial to choose a computational domain defined by a dynamically evolving flux tube. In this paper, various approaches to the generation of dynamically varying computational grids are considered, and examples of such grids are illustrated using magnetic fields generated by a Tsyganenko field model and a global MHD model of the magnetosphere.

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