Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3597-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-3597-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Jul 2017
Research article |
| 17 Jul 2017
Reproducing an extreme flood with uncertain post-event information
Diana Fuentes-Andino
CORRESPONDING AUTHOR
Department of Earth Sciences, Uppsala University, Villavägen 16, 752 36 Uppsala, Sweden
Centre for Natural Disaster Science (CNDS), Uppsala University, Uppsala, Sweden
Keith Beven
Department of Earth Sciences, Uppsala University, Villavägen 16, 752 36 Uppsala, Sweden
Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
Sven Halldin
Department of Earth Sciences, Uppsala University, Villavägen 16, 752 36 Uppsala, Sweden
Centre for Natural Disaster Science (CNDS), Uppsala University, Uppsala, Sweden
Chong-Yu Xu
Department of Earth Sciences, Uppsala University, Villavägen 16, 752 36 Uppsala, Sweden
Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316, Oslo, Norway
José Eduardo Reynolds
Department of Earth Sciences, Uppsala University, Villavägen 16, 752 36 Uppsala, Sweden
Centre for Natural Disaster Science (CNDS), Uppsala University, Uppsala, Sweden
Giuliano Di Baldassarre
Department of Earth Sciences, Uppsala University, Villavägen 16, 752 36 Uppsala, Sweden
Centre for Natural Disaster Science (CNDS), Uppsala University, Uppsala, Sweden
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Cited
14 citations as recorded by crossref.
- Understanding the impacts induced by cut-off thresholds and likelihood measures on confidence interval when applying GLUE approach Z. Li et al. 10.1007/s00477-022-02182-6
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany A. Bronstert et al. 10.1016/j.scitotenv.2018.02.241
- An epistemically uncertain walk through the rather fuzzy subject of observation and model uncertainties1 K. Beven 10.1002/hyp.14012
- Tracking the weight of Hurricane Harvey’s stormwater using GPS data C. Milliner et al. 10.1126/sciadv.aau2477
- A systematic review of Muskingum flood routing techniques A. Salvati et al. 10.1080/02626667.2024.2324132
- Exploring the potential for parameter transfer from daily to hourly time step in the HYPE model for Sweden D. Fuentes-Andino et al. 10.1080/02626667.2022.2121165
- A new cost-performance grid to compare different flood modelling approaches R. Hdeib et al. 10.1080/02626667.2021.1873346
- Hydrodynamic Modeling for Flood Hazard Assessment in a Data Scarce Region: a Case Study of Bharathapuzha River Basin X. Jacob et al. 10.1007/s10666-019-09664-y
- Event-based uncertainty assessment of sediment modeling in a data-scarce catchment H. Xie et al. 10.1016/j.catena.2018.10.008
- Parameter Uncertainty of a Snowmelt Runoff Model and Its Impact on Future Projections of Snowmelt Runoff in a Data-Scarce Deglaciating River Basin Y. Xiang et al. 10.3390/w11112417
- Hydrological and hydraulic modelling of flash flood induced by extreme rainfall in Liulin town, Hubei province, China, 2021 Z. Xu et al. 10.1080/19942060.2025.2562107
- Constraining coupled hydrological-hydraulic flood model by past storm events and post-event measurements in data-sparse regions R. Hdeib et al. 10.1016/j.jhydrol.2018.08.008
- 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
14 citations as recorded by crossref.
- Understanding the impacts induced by cut-off thresholds and likelihood measures on confidence interval when applying GLUE approach Z. Li et al. 10.1007/s00477-022-02182-6
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany A. Bronstert et al. 10.1016/j.scitotenv.2018.02.241
- An epistemically uncertain walk through the rather fuzzy subject of observation and model uncertainties1 K. Beven 10.1002/hyp.14012
- Tracking the weight of Hurricane Harvey’s stormwater using GPS data C. Milliner et al. 10.1126/sciadv.aau2477
- A systematic review of Muskingum flood routing techniques A. Salvati et al. 10.1080/02626667.2024.2324132
- Exploring the potential for parameter transfer from daily to hourly time step in the HYPE model for Sweden D. Fuentes-Andino et al. 10.1080/02626667.2022.2121165
- A new cost-performance grid to compare different flood modelling approaches R. Hdeib et al. 10.1080/02626667.2021.1873346
- Hydrodynamic Modeling for Flood Hazard Assessment in a Data Scarce Region: a Case Study of Bharathapuzha River Basin X. Jacob et al. 10.1007/s10666-019-09664-y
- Event-based uncertainty assessment of sediment modeling in a data-scarce catchment H. Xie et al. 10.1016/j.catena.2018.10.008
- Parameter Uncertainty of a Snowmelt Runoff Model and Its Impact on Future Projections of Snowmelt Runoff in a Data-Scarce Deglaciating River Basin Y. Xiang et al. 10.3390/w11112417
- Hydrological and hydraulic modelling of flash flood induced by extreme rainfall in Liulin town, Hubei province, China, 2021 Z. Xu et al. 10.1080/19942060.2025.2562107
- Constraining coupled hydrological-hydraulic flood model by past storm events and post-event measurements in data-sparse regions R. Hdeib et al. 10.1016/j.jhydrol.2018.08.008
- 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
Latest update: 31 Oct 2025
Short summary
Reproduction of past floods requires information on discharge and flood extent, commonly unavailable or uncertain during extreme events. We explored the possibility of reproducing an extreme flood disaster using rainfall and post-event hydrometric information by combining a rainfall-runoff and hydraulic modelling tool within an uncertainty analysis framework. Considering the uncertainty in post–event data, it was possible to reasonably reproduce the extreme event.
Reproduction of past floods requires information on discharge and flood extent, commonly...
