期刊
GEOSCIENTIFIC MODEL DEVELOPMENT
卷 14, 期 6, 页码 3577-3602出版社
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/gmd-14-3577-2021
关键词
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资金
- UK Engineering and Physical Sciences Research Council (EPSRC) [EP/R007349/1]
- Royal Society Wolfson Research Merit award
LISFLOOD-FP 8.0 introduces new two-dimensional solvers for modelling a wide range of flows, including rapidly propagating, supercritical flows, and shock waves. These solvers are parallelized on multicore CPU and Nvidia GPU architectures and have been studied for their predictive capabilities and computational efficiency through benchmark tests and real-world flood simulations.
LISFLOOD-FP 8.0 includes second-order discontinuous Galerkin (DG2) and first-order finite-volume (FV1) solvers of the two-dimensional shallow-water equations for modelling a wide range of flows, including rapidly propagating, supercritical flows, shock waves or flows over very smooth surfaces. The solvers are parallelised on multicore CPU and Nvidia GPU architectures and run existing LISFLOOD-FP modelling scenarios without modification. These new, fully two-dimensional solvers are available alongside the existing local inertia solver (called ACC), which is optimised for multi-core CPUs and integrates with the LISFLOOD-FP sub-grid channel model. The predictive capabilities and computational scalability of the new DG2 and FV1 solvers are studied for two Environment Agency benchmark tests and a real-world fluvial flood simulation driven by rainfall across a 2500 km 2 catchment. DG2's second-order-accurate, piecewise-planar representation of topography and flow variables enables predictions on coarse grids that are competitive with FV1 and ACC predictions on 2-4 times finer grids, particularly where river channels are wider than half the grid spacing. Despite the simplified formulation of the local inertia solver, ACC is shown to be spatially second-order-accurate and yields predictions that are close to DG2. The DG2-CPU and FV1CPU solvers achieve near-optimal scalability up to 16 CPU cores and achieve greater efficiency on grids with fewer than 0.1 million elements. The DG2-GPU and FV1-GPU solvers are most efficient on grids with more than 1 million elements, where the GPU solvers are 2.5-4 times faster than the corresponding 16-core CPU solvers. LISFLOODFP 8.0 therefore marks a new step towards operational DG2 flood inundation modelling at the catchment scale. LISFLOOD-FP 8.0 is freely available under the GPL v3 license, with additional documentation and case studies at https ://www. seamles swave.com/LISFLOOD8 .0 (last access: 2 June 2021).
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