arrow
Return

Parallel exponential time differencing methods for geophysical flow simulations

delete2021-12-01
delete2
delete
OA
AI
R
Rihui Lan
W
Wei Leng
Z
Zhu Wang
L
Lili Ju *
M
Max Gunzburger
DOI:10.1016/j.cma.2021.114151delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Two ocean models are considered for geophysical flow simulations: the multi-layer shallow water equations and the multi-layer primitive equations. For the former, we investigate the parallel performance of exponential time differencing (ETD) methods, including exponential Rosenbrock-Euler, ETD2wave, and B-ETD2wave. For the latter, we take advantage of the splitting of barotropic and baroclinic modes and propose a new two-level method in which an ETD method is applied to solve the fast barotropic mode. These methods could improve the computational efficiency of numerical simulations because ETD methods allow for much larger time step sizes than traditional explicit time-stepping techniques that are commonly used in existing computational ocean models. Several standard benchmark tests for ocean modeling are performed and comparison of the numerical results demonstrates a great potential of applying the parallel ETD methods for simulating real-world geophysical flows. (C) 2021 Elsevier B.V. All rights reserved.
Keywords:
Shallow water equations
Primitive equations
Exponential time differencing
Parallel computing
Barotropic/baroclinic splitting
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Computer Methods in Applied Mechanics and Engineering cover
Computer Methods in Applied Mechanics and Engineering
IF:
7.3
Papers:
1.3W
Citations:
5.6W

Organization

U
university of south carolina columbia
Scholars:
9.5K
Papers: 8.5K
Citations: 7
U
University of South Carolina System
Scholars:
1.5W
Papers: 1.4W
Citations: 27
C
chinese academy of sciences
Scholars:
55.3W
Papers: 44.6W
Citations: 704
researcher View more organizations