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  A conservative discretization of the shallow-water equations on triangular grids

Korn, P., & Linardakis, L. (2018). A conservative discretization of the shallow-water equations on triangular grids. Journal of Computational Physics, 375, 871-900. doi:10.1016/j.jcp.2018.09.002.

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1-s2.0-S0021999118305953-main.pdf (Publisher version), 5MB
 
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 Creators:
Korn, Peter1, Author           
Linardakis, Leonidas2, Author           
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1Applied Mathematics and Computational Physics (AMCP), Scientific Computing Lab (ScLab), MPI for Meteorology, Max Planck Society, ou_2129636              
2Computational Infrastructure and Model Devlopment (CIMD), Scientific Computing Lab (ScLab), MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_2129638              

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 Abstract: A structure-preserving discretization of the shallow-water equations on unstructured spherical grids is introduced. The unstructured grids that we consider have triangular cells with a C-type staggering of variables, where scalar variables are located at centres of grid cells and normal components of velocity are placed at cell boundaries. The staggering necessitates reconstructions and these reconstructions are build into the algorithm such that the resulting discrete equations obey a weighted weak form. This approach, combined with a mimetic discretization of the differential operators of the shallow-water equations, provides a conservative discretization that preserves important aspects of the mathematical structure of the continuous equations, most notably the simultaneous conservation of quadratic invariants such as energy and enstrophy. The structure-preserving nature of our discretization is confirmed through theoretical analysis and through numerical experiments on two different triangular grids, a symmetrized icosahedral grid of nearly uniform resolution and a non-uniform triangular grid whose resolution increases towards the poles. © 2018 Elsevier Inc.

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Language(s): eng - English
 Dates: 2018-0520182018-102018-12
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jcp.2018.09.002
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Title: Journal of Computational Physics
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier B.V.
Pages: - Volume / Issue: 375 Sequence Number: - Start / End Page: 871 - 900 Identifier: ISSN: 0021-9991
CoNE: https://pure.mpg.de/cone/journals/resource/954922645031