Design and performance of a scalable parallel community climate model
Parallel Computing - Special issue: climate and weather modeling
Performance analysis of MPI collective operations
Cluster Computing
Finite-volume transport on various cubed-sphere grids
Journal of Computational Physics
On the partial difference equations of mathematical physics
IBM Journal of Research and Development
A conservative semi-Lagrangian multi-tracer transport scheme (CSLAM) on the cubed-sphere grid
Journal of Computational Physics
A compatible and conservative spectral element method on unstructured grids
Journal of Computational Physics
A class of deformational flow test cases for linear transport problems on the sphere
Journal of Computational Physics
Journal of Computational Physics
Journal of Computational Physics
Hi-index | 31.45 |
Current climate models have a limited ability to increase spatial resolution because numerical stability requires the time step to decrease. We describe a semi-Lagrangian method for tracer transport that is stable for arbitrary Courant numbers, and we test a parallel implementation discretized on the cubed sphere. The method includes a fixer that conserves mass and constrains tracers to a physical range of values. The method shows third-order convergence and maintains nonlinear tracer correlations to second order. It shows optimal accuracy at Courant numbers of 10-20, more than an order of magnitude higher than explicit methods. We present parallel performance in terms of strong scaling, weak scaling, and spatial scaling (where the time step stays constant while the resolution increases). For a 0.2^o test with 100 tracers, the implementation scales efficiently to 10,000 MPI tasks.