TY - GEN
T1 - Towards an efficient and scalable discontinuous galerkin atmospheric model
AU - Dennis, J. M.
AU - Levy, M.
AU - Nair, R. D.
AU - Tufo, H. M.
AU - Voran, T.
PY - 2005
Y1 - 2005
N2 - An efficient and scalable Discontinuous Galerkin shallow water model on the cubed sphere is developed by extending the transport scheme of Nair et al. [16], The continuous flux form nonlinear shallow water equations in curvilinear coordinates are developed. Spatial discretization is a nodal basis set of Legendre polynomials. Fluxes along internal element interfaces are approximated by a Lax-Friedrichs scheme. A third-order total variation diminishing Runge-Kutta scheme is applied for time integration, without any filter or limiter. The standard shallow-water test suite of Williamson et al. [23] is used to validate the model. It is observed that the numerical solutions are accurate, the model conserves mass to machine precision, and there are no spurious oscillations in a test case where zonal flow impinges a mountain,. Development time was substantially reduced by building the model in the High Order Method Modeling Environment (HOMME) developed at the National Center for Atmospheric Research (NCAR). Performance and scaling data for the steady state geostrophic flow problem [23] is presented. Sustained performance in excess of 10% of peak is observed out to 64 processors on a Linux cluster.
AB - An efficient and scalable Discontinuous Galerkin shallow water model on the cubed sphere is developed by extending the transport scheme of Nair et al. [16], The continuous flux form nonlinear shallow water equations in curvilinear coordinates are developed. Spatial discretization is a nodal basis set of Legendre polynomials. Fluxes along internal element interfaces are approximated by a Lax-Friedrichs scheme. A third-order total variation diminishing Runge-Kutta scheme is applied for time integration, without any filter or limiter. The standard shallow-water test suite of Williamson et al. [23] is used to validate the model. It is observed that the numerical solutions are accurate, the model conserves mass to machine precision, and there are no spurious oscillations in a test case where zonal flow impinges a mountain,. Development time was substantially reduced by building the model in the High Order Method Modeling Environment (HOMME) developed at the National Center for Atmospheric Research (NCAR). Performance and scaling data for the steady state geostrophic flow problem [23] is presented. Sustained performance in excess of 10% of peak is observed out to 64 processors on a Linux cluster.
KW - Climate and atmospheric modeling
KW - Discontinuous Galerkin method
KW - Parallel computing
UR - https://www.scopus.com/pages/publications/33746303619
U2 - 10.1109/IPDPS.2005.438
DO - 10.1109/IPDPS.2005.438
M3 - Conference contribution
AN - SCOPUS:33746303619
SN - 0769523129
SN - 0769523129
SN - 9780769523125
T3 - Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
BT - Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
T2 - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Y2 - 4 April 2005 through 8 April 2005
ER -