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A comparative study of two different shallow water formulations using stable summation by parts schemes
University of Tehran, Tehran, Iran.
University of Tehran, Tehran, Iran.ORCID iD: 0000-0001-9666-5493
University of Tehran, Tehran, Iran.
Linköping University, Department of Mathematics, Applied Mathematics. Linköping University, Faculty of Science & Engineering. University of Johannesburg, South Africa.ORCID iD: 0000-0002-7972-6183
2022 (English)In: Wave motion, ISSN 0165-2125, E-ISSN 1878-433X, Vol. 114, article id 103043Article in journal (Refereed) Published
Abstract [en]

This study provides numerical solutions to the two-dimensional linearized shallow water equations (SWE) using a high-order finite difference scheme in Summation By Parts (SBP) form. In addition to the SBP operators for the discretizations, penalty terms, Simultaneous Approximation Terms (SAT) are applied to impose well-posed open boundary conditions. The conventional SWE with height and velocities as the prognostic variables, and a new type of the vorticity–divergence SWE with wave height gradients, vorticity and divergence as the prognostic variables were investigated. It was shown that the solution in all numerical tests enter and exit the domain without instabilities. The convergence rates were correct for all orders of the SBP operators in both the entrance and exit tests. Interestingly, the error norm of the wave height were orders of magnitude lower in the vorticity–divergence solutions compared to the conventional SWE solutions.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 114, article id 103043
Keywords [en]
Shallow water equations; Summation by parts; Penalty terms; Weak boundary conditions; Vorticity; Divergence; Open boundary; Finite difference method; High order accuracy
National Category
Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-187227DOI: 10.1016/j.wavemoti.2022.103043ISI: 000891627100001Scopus ID: 2-s2.0-85135814198OAI: oai:DiVA.org:liu-187227DiVA, id: diva2:1687209
Note

Funding: university of Tehran; Vetenskapsradet, Sweden [2018-05084 VR]; Swedish e-Science Research Center (SeRC)

Available from: 2022-08-15 Created: 2022-08-15 Last updated: 2024-11-19

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Nordström, Jan

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