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.
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.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
05 May 2023
Model description paper |
| 05 May 2023
| 05 May 2023
LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations
Mohammad Kazem Sharifian
CORRESPONDING AUTHOR
Department of Civil and Structural Engineering, University of
Sheffield, Western Bank, Sheffield, UK
currently at: Risk Management Solutions, Inc., London, UK
Georges Kesserwani
CORRESPONDING AUTHOR
Department of Civil and Structural Engineering, University of
Sheffield, Western Bank, Sheffield, UK
Alovya Ahmed Chowdhury
Department of Civil and Structural Engineering, University of
Sheffield, Western Bank, Sheffield, UK
Jeffrey Neal
School of Geographical Sciences, University of Bristol, Bristol, UK
Paul Bates
School of Geographical Sciences, University of Bristol, Bristol, UK
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19 citations as recorded by crossref.
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- High-performance computing in urban flood modeling: A study on spatial partitioning techniques and parallel performance T. Chen et al. 10.1016/j.jhydrol.2024.132474
- An integrative modelling framework for predicting the compound flood hazards induced by tropical cyclones in an estuarine area H. Du et al. 10.1016/j.envsoft.2024.105996
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- Developing an open-source flood forecasting system adapted to data-scarce regions: A digital twin coupled with hydrologic-hydrodynamic simulations L. M. C. Rápalo et al. 10.1016/j.jhydrol.2024.131929
- Enhancing Flood Risk Management: A Comprehensive Review on Flood Early Warning Systems with Emphasis on Numerical Modeling D. Fernández-Nóvoa et al. 10.3390/w16101408
- Toward Street‐Level Nowcasting of Flash Floods Impacts Based on HPC Hydrodynamic Modeling at the Watershed Scale and High‐Resolution Weather Radar Data P. Costabile et al. 10.1029/2023WR034599
- Application of 1D model for overland flow simulations on 2D complex domains Y. Zhang et al. 10.1016/j.advwatres.2024.104711
- Impacts of DEM type and resolution on deep learning-based flood inundation mapping M. Fereshtehpour et al. 10.1007/s12145-024-01239-0
- The impact of earth fissures on flood hazard extent for the Northern part of the Qaa’Jahran Basin, Dhamar, Yemen A. Al-Areeq et al. 10.1080/10106049.2023.2280608
- Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice M. Hajihassanpour et al. 10.1029/2022WR034011
- The Role of Different Total Water Level Definitions in Coastal Flood Modelling on a Low-Elevation Dune System P. Cabrita et al. 10.3390/jmse12061003
- Climate change and urban sprawl: Unveiling the escalating flood risks in river deltas with a deep dive into the GBM river delta S. Wu et al. 10.1016/j.scitotenv.2024.174703
- IberSWMM+: A high-performance computing solver for 2D-1D pluvial flood modelling in urban environments E. Sañudo et al. 10.1016/j.jhydrol.2024.132603
- Solving the discretised shallow water equations using neural networks B. Chen et al. 10.1016/j.advwatres.2025.104903
1 citations as recorded by crossref.
Latest update: 03 Mar 2025
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.
This paper describes a new release of the LISFLOOD-FP model for fast and efficient flood...
