A new implementation of the geometric method for solving the Eady slice equations
•The geometric method is recast in the language of semi-discrete optimal transport.•We develop a fast adaptive time-stepping algorithm.•Our algorithm uses the latest results from numerical optimal transport.•Numerical results validate the semi-geostrophic approximation. We present a new implementati...
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Published in | Journal of computational physics Vol. 469; p. 111542 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cambridge
Elsevier Inc
15.11.2022
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | •The geometric method is recast in the language of semi-discrete optimal transport.•We develop a fast adaptive time-stepping algorithm.•Our algorithm uses the latest results from numerical optimal transport.•Numerical results validate the semi-geostrophic approximation.
We present a new implementation of the geometric method of Cullen & Purser (1984) for solving the semi-geostrophic Eady slice equations, which model large scale atmospheric flows and frontogenesis. The geometric method is a Lagrangian discretisation, where the PDE is approximated by a particle system. An important property of the discretisation is that it is energy conserving. We restate the geometric method in the language of semi-discrete optimal transport theory and exploit this to develop a fast implementation that combines the latest results from numerical optimal transport theory with a novel adaptive time-stepping scheme. Our results enable a controlled comparison between the Eady-Boussinesq vertical slice equations and their semi-geostrophic approximation. We provide further evidence that weak solutions of the Eady-Boussinesq vertical slice equations converge to weak solutions of the semi-geostrophic Eady slice equations as the Rossby number tends to zero. |
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ISSN: | 0021-9991 1090-2716 |
DOI: | 10.1016/j.jcp.2022.111542 |