Articles | Volume 10, issue 10
https://doi.org/10.5194/gmd-10-3913-2017
© Author(s) 2017. 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-10-3913-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
27 Oct 2017
Model description paper |
| 27 Oct 2017
| 27 Oct 2017
GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling
Department of Physical Geography, Utrecht University, P.O. Box 80115,
3508 TC Utrecht, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Jeffrey C. Neal
School of Geographical Sciences, University of Bristol, University
Road, Bristol, BS8 1SS, UK
Fedor Baart
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Rens van Beek
Department of Physical Geography, Utrecht University, P.O. Box 80115,
3508 TC Utrecht, the Netherlands
Hessel C. Winsemius
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Institute for Environmental Studies, VU University, De Boelelaan
1087, 1081 HV, Amsterdam, the Netherlands
Paul D. Bates
School of Geographical Sciences, University of Bristol, University
Road, Bristol, BS8 1SS, UK
Marc F. P. Bierkens
Department of Physical Geography, Utrecht University, P.O. Box 80115,
3508 TC Utrecht, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
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- Watershed Models: Review of Approaches, Challenges, and Opportunities C. Jiang & Y. Shen 10.1021/acsestwater.3c00259
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- Assessing flood hazard changes using climate model forcing D. Callaghan & M. Hughes 10.5194/nhess-22-2459-2022
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- Benchmarking flexible meshes and regular grids for large-scale fluvial inundation modelling J. Hoch et al. 10.1016/j.advwatres.2018.09.003
- Hydrological Tracking Model for Amazon Surface Waters M. Sorribas et al. 10.1029/2019WR024721
- Use of large-scale hydrological models to predict dam break-related impacts A. Tschiedel et al. 10.1590/2318-0331.252020190128
- PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model E. Sutanudjaja et al. 10.5194/gmd-11-2429-2018
26 citations as recorded by crossref.
- Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0 P. Uhe et al. 10.5194/gmd-14-4865-2021
- Effects of the Three Gorges Dam on the downstream streamflow based on a large-scale hydrological and hydrodynamics coupled model L. Yang et al. 10.1016/j.ejrh.2022.101039
- 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 first collective validation of global fluvial flood models for major floods in Nigeria and Mozambique M. Bernhofen et al. 10.1088/1748-9326/aae014
- Modeling the role of reservoirs versus floodplains on large-scale river hydrodynamics A. Fleischmann et al. 10.1007/s11069-019-03797-9
- On the role of lake level management in modulating climate change impacts on perialpine lakes T. Wechsler et al. 10.1016/j.ejrh.2024.101914
- Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework J. Hoch et al. 10.5194/nhess-19-1723-2019
- Advancing global flood hazard simulations by improving comparability, benchmarking, and integration of global flood models J. Hoch & M. Trigg 10.1088/1748-9326/aaf3d3
- A Race Against Time: Modeling Time Lags in Watershed Response I. Ilampooranan et al. 10.1029/2018WR023815
- Watershed Models: Review of Approaches, Challenges, and Opportunities C. Jiang & Y. Shen 10.1021/acsestwater.3c00259
- High‐Resolution Global Water Temperature Modeling N. Wanders et al. 10.1029/2018WR023250
- Optimisation of the two-dimensional hydraulic model LISFOOD-FP for CPU architecture J. Neal et al. 10.1016/j.envsoft.2018.05.011
- Trade‐Offs Between 1‐D and 2‐D Regional River Hydrodynamic Models A. Fleischmann et al. 10.1029/2019WR026812
- Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept C. Di Mauro et al. 10.5194/hess-25-4081-2021
- Comparing earth observation and inundation models to map flood hazards L. Hawker et al. 10.1088/1748-9326/abc216
- Direct Integration of Numerous Dams and Reservoirs Outflow in Continental Scale Hydrologic Modeling A. Tavakoly et al. 10.1029/2020WR029544
- Towards a large-scale locally relevant flood inundation modeling framework using SWAT and LISFLOOD-FP A. Rajib et al. 10.1016/j.jhydrol.2019.124406
- Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin J. Towner et al. 10.5194/hess-23-3057-2019
- An integrated approach to streamflow estimation and flood inundation mapping using VIC, RAPID and LISFLOOD-FP S. Nandi & M. Reddy 10.1016/j.jhydrol.2022.127842
- Assessing flood hazard changes using climate model forcing D. Callaghan & M. Hughes 10.5194/nhess-22-2459-2022
- Assessment of the Relationship between Land Use and Flood Risk Based on a Coupled Hydrological–Hydraulic Model: A Case Study of Zhaojue River Basin in Southwestern China C. Xu et al. 10.3390/land11081182
- mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model T. Thurber et al. 10.21105/joss.03221
- Benchmarking flexible meshes and regular grids for large-scale fluvial inundation modelling J. Hoch et al. 10.1016/j.advwatres.2018.09.003
- Hydrological Tracking Model for Amazon Surface Waters M. Sorribas et al. 10.1029/2019WR024721
- Use of large-scale hydrological models to predict dam break-related impacts A. Tschiedel et al. 10.1590/2318-0331.252020190128
- PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model E. Sutanudjaja et al. 10.5194/gmd-11-2429-2018
Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
To improve flood hazard assessments, it is vital to model all relevant processes. We here present GLOFRIM, a framework for coupling hydrologic and hydrodynamic models to increase the number of physical processes represented in hazard computations. GLOFRIM is openly available, versatile, and extensible with more models. Results also underpin its added value for model benchmarking, showing that not only model forcing but also grid properties and the numerical scheme influence output accuracy.
To improve flood hazard assessments, it is vital to model all relevant processes. We here...
