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High-Order/Low-Order Methods for Ocean Modeling
Author(s) -
Christopher K. Newman,
Geoff Womeldorff,
Luis Chacón,
D. A. Knoll
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.05.477
Subject(s) - computer science , barotropic fluid , scalability , order (exchange) , scale (ratio) , computational science , parallel computing , theoretical computer science , oceanography , geology , physics , finance , quantum mechanics , database , economics
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

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