Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1723-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-1723-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework
Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC Utrecht, Utrecht, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
IGDORE Institute, Utrecht, the Netherlands
Witteveen + Bos, 7411 TJ Deventer, the Netherlands
Dirk Eilander
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Institute for Environmental Studies, VU Amsterdam, 1081 HV Amsterdam, the Netherlands
Hiroaki Ikeuchi
Institute for Environmental Studies, VU Amsterdam, 1081 HV Amsterdam, the Netherlands
Department of Civil Engineering, University of Tokyo, Tokyo, 153-8505, Japan
Fedor Baart
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Hessel C. Winsemius
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Department of Civil Engineering, TU Delft, 2628 CN Delft, the Netherlands
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31 citations as recorded by crossref.
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- Flood forecasting in Jhelum river basin using integrated hydrological and hydraulic modeling approach with a real-time updating procedure S. Parvaze et al. 10.1007/s00382-022-06206-3
- Prediction of coastal flooding risk under climate change impacts in South Korea using machine learning algorithms S. Park & D. Lee 10.1088/1748-9326/aba5b3
- CSDMS: a community platform for numerical modeling of Earth surface processes G. Tucker et al. 10.5194/gmd-15-1413-2022
- Approximate calculation of flash flood maximum inundation extent in small catchment with large elevation difference X. Li et al. 10.1016/j.jhydrol.2020.125195
- CoastFLOOD: A High-Resolution Model for the Simulation of Coastal Inundation Due to Storm Surges C. Makris et al. 10.3390/hydrology10050103
- Flood Scenario Simulation, Based on the Hydrological and Hydrodynamic Model in the Puyang River Catchment H. Zhong et al. 10.3390/w14233873
- LISFLOOD-FP 8.0: the new discontinuous Galerkin shallow-water solver for multi-core CPUs and GPUs J. Shaw et al. 10.5194/gmd-14-3577-2021
- A globally applicable framework for compound flood hazard modeling D. Eilander et al. 10.5194/nhess-23-823-2023
- Future Change Projections of Extreme Floods at Catchment Scale and Hydrodynamic Response of Its Downstream Lake Based on Catchment‐Waterbody Relationship Simulation R. Hua et al. 10.1029/2022JD037972
- Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0 P. Uhe et al. 10.5194/gmd-14-4865-2021
- A Review of Coupled Hydrologic-Hydraulic Models for Floodplain Assessments in Africa: Opportunities and Challenges for Floodplain Wetland Management I. Chomba et al. 10.3390/hydrology8010044
- A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models D. Eilander et al. 10.5194/hess-25-5287-2021
- The MODFLOW Application Programming Interface for simulation control and software interoperability J. Hughes et al. 10.1016/j.envsoft.2021.105257
- 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
- Ratio limits of water storage and outflow in a rainfall–runoff process Y. Zhu et al. 10.5194/hess-28-4251-2024
- Flood Extent Mapping During Hurricane Florence With Repeat‐Pass L‐Band UAVSAR Images C. Wang et al. 10.1029/2021WR030606
- Flood Hazard Mitigation at Tarusan Watershed, South Pesisir District, West Sumatera Province I. Umar & . Triyatno 10.29244/jpsl.14.1.101-108
- Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
- The Basic Model Interface 2.0: A standard interface for coupling numerical models in the geosciences E. Hutton et al. 10.21105/joss.02317
- Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil M. Alves et al. 10.1590/2318-0331.272220220009
- LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations M. Sharifian et al. 10.5194/gmd-16-2391-2023
- CSDMS Data Components: data–model integration tools for Earth surface processes modeling T. Gan et al. 10.5194/gmd-17-2165-2024
- Multi-scenario urban flood risk assessment by integrating future land use change models and hydrodynamic models Q. Sun et al. 10.5194/nhess-22-3815-2022
- Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models Y. Hou et al. 10.1029/2021WR031817
- Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones T. Vogt et al. 10.1038/s43247-024-01707-x
- Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale A. Buttinger‐Kreuzhuber et al. 10.1029/2021WR030820
- Assessing the Vulnerability of a Deltaic Environment due to Climate Change Impact on Surface and Coastal Waters: The Case of Nestos River (Greece) C. Skoulikaris et al. 10.1007/s10666-020-09746-2
- The effect of surge on riverine flood hazard and impact in deltas globally D. Eilander et al. 10.1088/1748-9326/ab8ca6
- Observation‐Constrained Projection of Global Flood Magnitudes With Anthropogenic Warming W. Liu et al. 10.1029/2020WR028830
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
Latest update: 20 Nov 2024
Short summary
Flood events are often complex in their origin and dynamics. The choice of computer model to simulate can hence determine which level of complexity can be represented. We here compare different models varying in complexity (hydrology with routing, 1-D routing, 1D/2D hydrodynamics) and assess how model choice influences the accuracy of results. This was achieved by using GLOFRIM, a model coupling framework. Results show that accuracy depends on the model choice and the output variable considered.
Flood events are often complex in their origin and dynamics. The choice of computer model to...
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