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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- High-performance computing in urban flood modeling: A study on spatial partitioning techniques and parallel performance T. Chen et al. https://doi.org/10.1016/j.jhydrol.2024.132474
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- Large-Scale 2D Rain-on-Grid Hydrodynamic Mapping of Flash and Pluvial Floods with Network-Consistent Return Periods F. Macchione et al. https://doi.org/10.3390/w18080950
- 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. https://doi.org/10.1016/j.jhydrol.2024.131929
- Using High-Resolution Flood Hazard and Urban Heat Island Maps for High-Priority BGI Placement at the City Scale S. Reinstaller et al. https://doi.org/10.3390/hydrology12050125
- Physics-guided multi-task learning for urban flood prediction under drainage sedimentation scenarios W. Chu et al. https://doi.org/10.1016/j.jhydrol.2026.136036
- 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. https://doi.org/10.1029/2023WR034599
- Application of 1D model for overland flow simulations on 2D complex domains Y. Zhang et al. https://doi.org/10.1016/j.advwatres.2024.104711
- Study on Inundation Analysis Characteristics of a Grid-Based Urban Drainage System (GUDS) D. Yu et al. https://doi.org/10.3390/w17243539
- 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. https://doi.org/10.1080/10106049.2023.2280608
- Effect of building representation on pluvial flood risk in urban areas: the Podoniftis basin, Greece M. Alexopoulos et al. https://doi.org/10.3389/fbuil.2026.1757749
- GPU-accelerated city-scale urban flood forecasting for real-time decision-making A. Wadhwa et al. https://doi.org/10.1038/s44304-026-00190-y
- Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice M. Hajihassanpour et al. https://doi.org/10.1029/2022WR034011
- Mapping Coastal Flood Risk in China J. Bian et al. https://doi.org/10.1007/s13753-026-00742-w
- LISFLOOD-FP 8.2: GPU-accelerated multiwavelet discontinuous Galerkin solver with dynamic resolution adaptivity for rapid, multiscale flood simulation A. Chowdhury & G. Kesserwani https://doi.org/10.5194/gmd-18-9827-2025
- FIMserv v.1.0: A tool for streamlining Flood Inundation Mapping (FIM) using the United States operational hydrological forecasting framework A. Baruah et al. https://doi.org/10.1016/j.envsoft.2025.106581
- 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. https://doi.org/10.1016/j.scitotenv.2024.174703
- Compound coastal flood exposure in global deltas: an integrated assessment of sea-level rise, subsidence, and socioeconomic dynamics S. Wu et al. https://doi.org/10.1016/j.crm.2025.100775
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- Hindcasting compound coastal-inland flood events caused by post-tropical storms Q. Dau et al. https://doi.org/10.1016/j.jhydrol.2026.136049
- Unravelling spatial heterogeneity of inundation pattern domains for 2D analysis of fluvial landscapes and drainage networks P. Costabile et al. https://doi.org/10.1016/j.jhydrol.2024.130728
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- A novel multi-model ensemble framework for fluvial flood inundation mapping N. Mangukiya et al. https://doi.org/10.1016/j.envsoft.2024.106163
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- Evaluation of 2D hydrodynamic-based rainfall/runoff modelling for soil erosion assessment at a seasonal scale P. Costabile et al. https://doi.org/10.1016/j.jhydrol.2024.130778
- Multi-resolution downscaling of inundation extents using deep learning C. Yang & F. O’Loughlin https://doi.org/10.1016/j.jhydrol.2026.135932
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- Urban Flood Risk analysis using the SWAGU-coupled model and a cloud-enhanced fuzzy comprehensive evaluation method J. Hu et al. https://doi.org/10.1016/j.envsoft.2025.106461
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- Increasing the fidelity of hyperlocal simulations of urban pluvial flooding through street flooding observations S. Annis et al. https://doi.org/10.1016/j.advwatres.2026.105223
- Impacts of DEM type and resolution on deep learning-based flood inundation mapping M. Fereshtehpour et al. https://doi.org/10.1007/s12145-024-01239-0
- State-of-the-art hydraulic modelling: a comprehensive review of HEC-RAS for 1D and 2D applications J. Gupta et al. https://doi.org/10.1080/02626667.2025.2581862
- The Role of Different Total Water Level Definitions in Coastal Flood Modelling on a Low-Elevation Dune System P. Cabrita et al. https://doi.org/10.3390/jmse12061003
- A GPU-accelerated local time step-based shallow water model for integrated sea–land flood inundation in densely built urban areas during storm surges H. Ma et al. https://doi.org/10.26599/OCEAN.2025.9470009
- Study on the spatial distribution of urban flooding and street flood risk in drainage-vulnerable city under extreme precipitation Y. Ma et al. https://doi.org/10.1007/s11069-026-08199-2
- Bridging urban and catchment scales in urban pluvial flooding: a multi-resolution simulation tool G. Aristotelis-Ilias et al. https://doi.org/10.1007/s12665-025-12790-4
- Solving the discretised shallow water equations using neural networks B. Chen et al. https://doi.org/10.1016/j.advwatres.2025.104903
Saved (final revised paper)
Latest update: 23 Jul 2026
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...
