The GeoClaw software for depth-averaged flows with adaptive refinement
Abstract
Many geophysical flow or wave propagation problems can be modeled with two-dimensional depth-averaged equations, of which the shallow water equations are the simplest example. We describe the GeoClaw software that has been designed to solve problems of this nature, consisting of open source Fortran programs together with Python tools for the user interface and flow visualization. This software uses high-resolution shock-capturing finite volume methods on logically rectangular grids, including latitude--longitude grids on the sphere. Dry states are handled automatically to model inundation. The code incorporates adaptive mesh refinement to allow the efficient solution of large-scale geophysical problems. Examples are given illustrating its use for modeling tsunamis, dam break problems, and storm surge. Documentation and download information is available at www.clawpack.org/geoclaw
Cite
@article{arxiv.1008.0455,
title = {The GeoClaw software for depth-averaged flows with adaptive refinement},
author = {Marsha J. Berger and David L. George and Randall J. LeVeque and Kyle Mandli},
journal= {arXiv preprint arXiv:1008.0455},
year = {2015}
}
Comments
18 pages, 11 figures, Animations and source code for some examples at http://www.clawpack.org/links/awr10 Significantly modified from original posting to incorporate suggestions of referees