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A Solution-Adaptive Grid Generation Scheme for Atmospheric Flow Simulations
Ahmad, N., T. Dunn, D. Mays, D. Bacon, M. Hall, R. A. Sauna, Z. Boybeyi, P. Lee, M. Turner.
Numerical Grid Generation in Computational Field Simulations, Ed. M. Cross., B. K. Soni, J. F. Thompson, J. Hauser, P. R. Eiseman, Proceedings of the 6th International Conference, held at the University of Greenwich, pp.327-335, July 1998
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MESHING RESEARCH CORNER
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Science Applications International Corporation
1710 Goodridge Drive, MS T2-3-1
McLean, Virginia 22102
USA
ahmad@apo.saic.com
Abstract
Science Applications International Corporation (SAIC) has developed a novel
hazardous dispersion model with support from the Defense Special Weapons Agency.
The Operational Multiscale Environment model with Grid Adaptivity (OMEGA) is
based on an unstructured prismatic grid. OMEGA has the capability to adapt its
grid statically as well as dynamically. The grid can adapt to a set of user
defined criteria such as shoreline, terrain, particle locations, and velocity
deformation. A considerable reduction in CPU time is achieved by dynamically
adapting the grid. This paper gives an overview of the OMEGA model, and
describes the grid-generation scheme used by the model. To our knowledge, OMEGA
is the only fully operational atmospheric model with spatial and dynamic grid
adaptation capabilities.
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