This spatialīehavior agreed very well with the observed local winds. The points of the study region (PSS, PSM, PM), wind speed increased about 10% toĢ0% of its offshore values, while inland they decreased about 86% to 96%. For the cases analyzed, it was found that at Prevailing winds from April to September during that period of observations ![]() Interactions with detail, a combination of a numerical wind model in fullģD curvilinear coordinates, along with a high resolution boundary-fitted grid is used.īoundary conditions were obtained from ten years (2002-2012) of measured offshore In order to capture the complex flowtopography Pacific region of Mexico are solved numerically. In this study, the momentum equations describing an atmospheric flow over a NW In this paper, the framework design and architecture are described in detail, and results are presented that demonstrate the multiscale capabilities of the model and the parallel framework to 240 cores over domains of order 10 7 total cells per variable, and the correctness and performance of the multiphysics aspects of the model for a baseline experiment stratified seamount. GCCOM discretizations are based on an Arakawa-C staggered grid, and PETSc DMDA (Data Management for Distributed Arrays) objects were used to provide communication and domain ownership management of the resultant multi-dimensional arrays, while the fully curvilinear Laplacian system for pressure is solved by the PETSc linear solver routines. As a solution for parallel optimization, the Fortran-interfaced Portable-Extensible Toolkit for Scientific Computation (PETSc) library was chosen as a framework to help reduce the complexity of managing the 3D geometry, to improve parallel algorithm design, and to provide a parallelized linear system solver and preconditioner. GCCOM is an inherently computationally expensive model: it uses an elliptic solver for the dynamic pressure meter-scale simulations requiring memory footprints on the order of 10 12 cells and terabytes of output data. The General Curvilinear Coastal Ocean Model (GCCOM) is a 3D curvilinear, structured-mesh, non-hydrostatic, large-eddy simulation model that is capable of running oceanic simulations.
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