High-Order/Low-Order methods for ocean modeling
Journal Article
·
· Procedia Computer Science
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
In this study, we examine a High Order/Low Order (HOLO) approach for a z-level ocean model and show that the traditional semi-implicit and split-explicit methods, as well as a recent preconditioning strategy, can easily be cast in the framework of HOLO methods. The HOLO formulation admits an implicit-explicit method that is algorithmically scalable and second-order accurate, allowing timesteps much larger than the barotropic time scale. We show how HOLO approaches, in particular the implicit-explicit method, can provide a solid route for ocean simulation to heterogeneous computing and exascale environments.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1194067
- Alternate ID(s):
- OSTI ID: 1234711
- Report Number(s):
- LA-UR-15-20576; PII: S1877050915012855
- Journal Information:
- Procedia Computer Science, Vol. 51, Issue C; Conference: International Conference on Computational Science (ICCS 2015). Computational Science at the Gates of Nature, Reykjavik (Iceland), 1-3 Jun 2015; ISSN 1877-0509
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Cited by: 1 work
Citation information provided by
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