Validation Test Report for the 1/8 deg Global Navy Coastal Ocean Model Nowcast/Forecast System

2007 ◽  
Author(s):  
Charlie N. Barron ◽  
A. B. Kara ◽  
Robert C. Rhodes ◽  
Clark Rowley ◽  
Lucy F. Smedstad
Keyword(s):  
Coastal Ocean ◽  
Ocean Model ◽  
Forecast System ◽  
Test Report ◽  
Validation Test ◽  
Coastal Ocean Model

Validation Test Report for OCEANS 1.0: The 1/40 Global, Reduced Gravity NRL Layered Ocean Model

1998 ◽  
Author(s):  
E. J. Metzger ◽  
Robert C. Rhodes ◽  
Dong S. Ko ◽  
Harley E. Hurlburt
Keyword(s):  
Ocean Model ◽  
Reduced Gravity ◽  
Test Report ◽  
Validation Test

A GPU accelerated finite volume coastal ocean model

2017 ◽  
Vol 29 (4) ◽  
pp. 679-690 ◽  
Author(s):  
Xu-dong Zhao ◽  
Shu-xiu Liang ◽  
Zhao-chen Sun ◽  
Xi-zeng Zhao ◽  
Jia-wen Sun ◽  
...  
Keyword(s):  
Finite Volume ◽  
Coastal Ocean ◽  
Ocean Model ◽  
Coastal Ocean Model

scholarly journals An Unstructured Grid, Finite-Volume Coastal Ocean Model (FVCOM) System

Oceanography ◽  
2006 ◽  
Vol 19 (1) ◽  
pp. 78-89 ◽  
Author(s):  
Changsheng Chen ◽  
Roberet Beardsley ◽  
Geoffrey Cowles
Keyword(s):  
Finite Volume ◽  
Unstructured Grid ◽  
Coastal Ocean ◽  
Ocean Model ◽  
Coastal Ocean Model

Comparing non-hydrostatic extensions to a discontinuous finite element coastal ocean model

2020 ◽  
Vol 151 ◽  
pp. 101634 ◽  
Author(s):  
Wei Pan ◽  
Stephan C. Kramer ◽  
Tuomas Kärnä ◽  
Matthew D. Piggott
Keyword(s):  
Finite Element ◽  
Coastal Ocean ◽  
Ocean Model ◽  
Discontinuous Finite Element ◽  
Coastal Ocean Model

scholarly journals Parallel Implementation of a PETSc-Based Framework for the General Curvilinear Coastal Ocean Model

2019 ◽  
Vol 7 (6) ◽  
pp. 185
Author(s):  
Manuel Valera ◽  
Mary P. Thomas ◽  
Mariangel Garcia ◽  
Jose E. Castillo
Keyword(s):  
Parallel Implementation ◽  
Dynamic Pressure ◽  
Algorithm Design ◽  
Coastal Ocean ◽  
Ocean Model ◽  
Staggered Grid ◽  
Parallel Optimization ◽  
Large Eddy Simulation Model ◽  
Coastal Ocean Model ◽  
Parallel Algorithm Design

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. 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. 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 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. 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.

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