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A structure-preserving approximation of the discrete split rotating shallow water equations

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Title: A structure-preserving approximation of the discrete split rotating shallow water equations
Authors: Bauer, W
Behrens, J
Cotter, CJ
Item Type: Conference Paper
Abstract: We introduce an efficient split finite element (FE) discretization of a y-independent (slice) model of the rotating shallow water equations. The study of this slice model provides insight towards developing schemes for the full 2D case. Using the split Hamiltonian FE framework [1,2], we result in structure-preserving discretizations that are split into topological prognostic and metric-dependent closure equations. This splitting also accounts for the schemes' properties: the Poisson bracket is responsible for conserving energy (Hamiltonian) as well as mass, potential vorticity and enstrophy (Casimirs), independently from the realizations of the metric closure equations. The latter, in turn, determine accuracy, stability, convergence and discrete dispersion properties. We exploit this splitting to introduce structure-preserving approximations of the mass matrices in the metric equations avoiding to solve linear systems. We obtain a fully structure-preserving scheme with increased efficiency by a factor of two.
Issue Date: 4-May-2020
Date of Acceptance: 1-May-2020
URI: http://hdl.handle.net/10044/1/92461
DOI: 10.5194/egusphere-egu2020-4183
ISSN: 0090-8312
Publisher: Copernicus GmbH
Journal / Book Title: EGU General Assembly 2020, Online, 4–8 May 2020
Copyright Statement: © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/)
Conference Name: EGU General Assembly 2020
Keywords: Energy
0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
0914 Resources Engineering and Extractive Metallurgy
Publication Status: Published
Start Date: 2020-05-04
Finish Date: 2020-05-08
Conference Place: Virtual
Open Access location: https://arxiv.org/pdf/1912.10335
Appears in Collections:Applied Mathematics and Mathematical Physics
Mathematics



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