![]() LISFLOOD-FP includes extension modules to provide efficient rainfall routing ( Sampson et al., 2013), modelling of hydraulic structures ( Wing et al., 2019 Shustikova et al., 2020), and coupling between two-dimensional flood-plain solvers and a one-dimensional sub-grid channel model ( Neal et al., 2012 a). LISFLOOD-FP has been coupled to several hydrological models ( Hoch et al., 2019 Rajib et al., 2020 Li et al., 2020), and it offers simple text file configuration and command-line tools to facilitate DEM preprocessing and sensitivity analyses ( Sosa et al., 2020). ![]() LISFLOOD-FP is a freely available raster-based hydrodynamic model that has been applied in numerous studies from small-scale ( Sampson et al., 2012) and reach-scale ( Liu et al., 2019 Shustikova et al., 2019 O'Loughlin et al., 2020) to continental and global flood forecasting applications ( Wing et al., 2020 Sampson et al., 2015). LISFLOOD-FP 8.0 is freely available under the GPL v3 license, with additional documentation and case studies at (last access: 2 June 2021). LISFLOOD-FP 8.0 therefore marks a new step towards operational DG2 flood inundation modelling at the catchment scale. 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. The DG2-CPU and FV1-CPU solvers achieve near-optimal scalability up to 16 CPU cores and achieve greater efficiency on grids with fewer than 0.1 million elements. 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.ĭG2'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.ĭespite 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. 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 solvers are parallelised on multi-core CPU and Nvidia GPU architectures and run existing LISFLOOD-FP modelling scenarios without modification. ![]() 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. ![]()
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