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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- 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
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16 citations as recorded by crossref.
- Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique) L. Cea et al. 10.5194/nhess-24-225-2024
- Unravelling spatial heterogeneity of inundation pattern domains for 2D analysis of fluvial landscapes and drainage networks P. Costabile et al. 10.1016/j.jhydrol.2024.130728
- 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
- Technological Advances to Rescue Temporary and Ephemeral Wetlands: Reducing Their Vulnerability, Making Them Visible R. Jiménez-Melero et al. 10.3390/rs15143553
- A novel multi-model ensemble framework for fluvial flood inundation mapping N. Mangukiya et al. 10.1016/j.envsoft.2024.106163
- Advancing rapid urban flood prediction: a spatiotemporal deep learning approach with uneven rainfall and attention mechanism Y. Shao et al. 10.2166/hydro.2024.024
- Evaluation of 2D hydrodynamic-based rainfall/runoff modelling for soil erosion assessment at a seasonal scale P. Costabile et al. 10.1016/j.jhydrol.2024.130778
- 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
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
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...
