LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations

Sharifian, Mohammad Kazem; Kesserwani, Georges; Chowdhury, Alovya Ahmed; Neal, Jeffrey; Bates, Paul

doi:https://doi.org/10.5194/gmd-16-2391-2023

Articles | Volume 16, issue 9

https://doi.org/10.5194/gmd-16-2391-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-2391-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 9

Model description paper

|

05 May 2023

Model description paper |

| 05 May 2023

LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations

Mohammad Kazem Sharifian, Georges Kesserwani, Alovya Ahmed Chowdhury, Jeffrey Neal, and Paul Bates

Data sets

New GPU accelerated solvers for faster fluvial/pluvial flood simulations - simulation results Mohammad Kazem Sharifian, Georges Kesserwani, Alovya Ahmed Chowdhury, Jeffrey Neal, and Paul Bates https://doi.org/10.5281/zenodo.6907286

Model code and software

LISFLOOD-FP 8.1 hydrodynamic model (8.1) LISFLOOD-FP developers https://doi.org/10.5281/zenodo.6912932

Video supplement

LISFLOOD-FP 8.1: New GPU accelerated solvers for faster fluvial/pluvial flood simulations - video supplement Mohammad Kazem Sharifian and Georges Kesserwani https://doi.org/10.5281/zenodo.6685125

Short summary

This paper describes a new release of the LISFLOOD-FP model for fast and efficient flood simulations. It features a new non-uniform grid generator that uses multiwavelet analyses to sensibly coarsens the resolutions where the local topographic variations are smooth. Moreover, the model is parallelised on the graphical processing units (GPUs) to further boost computational efficiency. The performance of the model is assessed for five real-world case studies, noting its potential applications.