Articles | Volume 14, issue 6
Geosci. Model Dev., 14, 3577–3602, 2021
Geosci. Model Dev., 14, 3577–3602, 2021
Development and technical paper
11 Jun 2021
Development and technical paper | 11 Jun 2021

LISFLOOD-FP 8.0: the new discontinuous Galerkin shallow-water solver for multi-core CPUs and GPUs

James Shaw et al.

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Cited articles

Arakawa, A. and Lamb, V. R.: Computational design of the basic dynamical processes of the UCLA general circulation model, Methods in Computational Physics: Advances in Research and Applications, 17, 173–265,, 1977. a
Ayog, J. L., Kesserwani, G., Shaw, J., Sharifian, M. K., and Bau, D.: Second-order discontinuous Galerkin flood model: comparison with industry-standard finite volume models, J. Hydrol., 594, 125924,, 2021. a, b, c, d, e, f, g
Bates, P. D.: Integrating remote sensing data with flood inundation models: how far have we got?, Hydrol. Process., 26, 2515–2521,, 2012. a
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling, J. Hydrol., 387, 33–45,, 2010. a, b
Bates, P. D., Pappenberger, F., and Romanowicz, R. J.: Uncertainty in flood inundation modelling, in: Applied uncertainty analysis for flood risk management, 232–269,, 2014. a
Short summary
LISFLOOD-FP has been extended with new shallow-water solvers – DG2 and FV1 – for modelling all types of slow- or fast-moving waves over any smooth or rough surface. Using GPU parallelisation, FV1 is faster than the simpler ACC solver on grids with millions of elements. The DG2 solver is notably effective on coarse grids where river channels are hard to capture, improving predicted river levels and flood water depths. This marks a new step towards real-world DG2 flood inundation modelling.