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Tsunami modelling with adaptively refined finite volume methods*

Published online by Cambridge University Press:  28 April 2011

Randall J. LeVeque,
David L. George and
Marsha J. Berger
Randall J. LeVeque
Affiliation:
Department of Applied Mathematics, University of Washington, Seattle, WA 98195-2420, USA E-mail: rjl@uw.edu
David L. George
Affiliation:
US Geological Survey, Cascades Volcano Observatory, Vancouver, WA 98683, USA E-mail: dgeorge@usgs.gov
Marsha J. Berger
Affiliation:
Courant Institute of Mathematical Sciences, New York University, NY 10012, USA E-mail: berger@cims.nyu.edu
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Abstract

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Numerical modelling of transoceanic tsunami propagation, together with the detailed modelling of inundation of small-scale coastal regions, poses a number of algorithmic challenges. The depth-averaged shallow water equations can be used to reduce this to a time-dependent problem in two space dimensions, but even so it is crucial to use adaptive mesh refinement in order to efficiently handle the vast differences in spatial scales. This must be done in a ‘wellbalanced’ manner that accurately captures very small perturbations to the steady state of the ocean at rest. Inundation can be modelled by allowing cells to dynamically change from dry to wet, but this must also be done carefully near refinement boundaries. We discuss these issues in the context of Riemann-solver-based finite volume methods for tsunami modelling. Several examples are presented using the GeoClaw software, and sample codes are available to accompany the paper. The techniques discussed also apply to a variety of other geophysical flows.

Information

Type
Research Article
Information
Acta Numerica , Volume 20 , May 2011, pp. 211 - 289
Copyright
Copyright © Cambridge University Press 2011

References

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