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Geoscience Australia and the Australian National University are developing a hydrodynamic inundation modelling tool called \AnuGA{} to help simulate the impact of natural inundation hazards such as riverine flooding, storm surges and tsunami. The core of \AnuGA{} is a \Python{} implementation of a finite-volume method based on triangular meshes for solving the conservative form of the Shallow Water Wave equation. We describe the parallelisation of the code using a domain decomposition strategy where we use the \Metis{} graph partitioning library to decompose the finite volume meshes. The parallel efficiency of our code is tested using a number of mesh partitions, and we verify that the \Metis{} graph partition is particularly efficient.

Parallelisation of a finite volume method for hydrodynamic inundation modelling