Abstract
Two methods for Large Scale Air Pollution (LSAP) simulations over static grids with local refinements are compared using the object-oriented version of the Danish Eulerian Model. Both methods are based on the Galerkin finite element method. The first one is over a static locally refined grid – we call it Static Local Refinement Algorithm (SLRA). We compare SLRA with the Recursive Static-Regridding Algorithm (RSRA), in which regular grids with finer resolution are nested within a coarser mother grid. RSRA and SLRA are compared with the translational and rotational cone tests. The drawbacks and advantages of the methods are discussed.
Subject Classifications: 65N30, 76R05.
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© 2004 Springer-Verlag Berlin Heidelberg
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Antonov, A., Georgiev, K., Komsalova, E., Zlatev, Z. (2004). Comparison of Two Local Refinement Methods for Large Scale Air Pollution Simulations. In: Lirkov, I., Margenov, S., Waśniewski, J., Yalamov, P. (eds) Large-Scale Scientific Computing. LSSC 2003. Lecture Notes in Computer Science, vol 2907. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24588-9_32
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DOI: https://doi.org/10.1007/978-3-540-24588-9_32
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