The GeoClaw software for depth-averaged flows with adaptive refinement

被引:179
作者
Berger, Marsha J.
George, David L. [1 ]
LeVeque, Randall J.
Mandli, Kyle T.
机构
[1] US Geol Survey, Cascades Volcano Observ, Vancouver, WA 98683 USA
关键词
Numerical flow modeling; Hyperbolic equations; Finite volume methods; Depth-averaged equations; Adaptive refinement; WAVE-PROPAGATION ALGORITHMS; SHALLOW-WATER EQUATIONS; FINITE-VOLUME METHODS; MODEL;
D O I
10.1016/j.advwatres.2011.02.016
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
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 and dam-break flooding problems. Documentation and download information is available at www.clawpack.org/geoclaw. Published by Elsevier Ltd.
引用
收藏
页码:1195 / 1206
页数:12
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