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Title: High-Order/Low-Order methods for ocean modeling

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.
Authors:
 [1] ;  [1] ;  [1] ;  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
OSTI Identifier:
1194067
Report Number(s):
LA-UR-15-20576
Journal ID: ISSN 1877-0509; PII: S1877050915012855
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Procedia Computer Science
Additional Journal Information:
Journal Volume: 51; Journal Issue: C; Conference: International Conference on Computational Science (ICCS 2015). Computational Science at the Gates of Nature, Reykjavik (Iceland), 1-3 Jun 2015; Journal ID: ISSN 1877-0509
Publisher:
Elsevier
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 16 TIDAL AND WAVE POWER; HOLO methods; ocean modeling; IMEX method; nonlinear elimination; 58 GEOSCIENCES