Comparison of Two Local Refinement Methods for Large Scale Air Pollution Simulations

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.