Articles | Volume 19, issue 5
https://doi.org/10.5194/nhess-19-1041-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-19-1041-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 May 2019
Research article |
| 16 May 2019
| 16 May 2019
Stochastic generation of spatially coherent river discharge peaks for continental event-based flood risk assessment
HR Wallingford, Flood and water management, Crowmarsh Gifford, UK
Ye Liu
HR Wallingford, Flood and water management, Crowmarsh Gifford, UK
Ben Gouldby
HR Wallingford, Flood and water management, Crowmarsh Gifford, UK
Ferdinand Diermanse
Deltares, Flood Risk Management, Delft, the Netherlands
Sergiy Vorogushyn
GFZ German Research Centre for Geosciences, Hydrology, Potsdam,
Germany
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25 citations as recorded by crossref.
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- Extreme floods in Europe: going beyond observations using reforecast ensemble pooling M. Brunner & L. Slater 10.5194/hess-26-469-2022
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- Large-scale flood risk assessment and management: Prospects of a systems approach K. Schröter et al. 10.1016/j.wasec.2021.100109
- Dynamic spatio-temporal generation of large-scale synthetic gridded precipitation: with improved spatial coherence of extremes D. Diederen & Y. Liu 10.1007/s00477-019-01724-9
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- Clustering Simultaneous Occurrences of the Extreme Floods in the Neckar Catchment E. Modiri & A. Bárdossy 10.3390/w13040399
- Floods and droughts: a multivariate perspective M. Brunner 10.5194/hess-27-2479-2023
- Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach M. Brunner & E. Gilleland 10.5194/hess-24-3967-2020
- Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach B. Winter et al. 10.5194/nhess-20-1689-2020
- Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland P. Camus et al. 10.1016/j.wace.2024.100662
- Varying Importance of Storm Types and Antecedent Conditions for Local and Regional Floods M. Brunner & E. Dougherty 10.1029/2022WR033249
- Testing the Multivariate Hüsler–Reiss Model as a Practical Parametric Approach for Multiple River Flood Risk Assessment Using d4PDF Data: A Case Study in Kyushu Island, Japan T. Tanaka & T. Kitano 10.1061/JHYEFF.HEENG-6065
- Space–time dependence of compound hot–dry events in the United States: assessment using a multi-site multi-variable weather generator M. Brunner et al. 10.5194/esd-12-621-2021
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- How Probable Is Widespread Flooding in the United States? M. Brunner et al. 10.1029/2020WR028096
- Reservoir regulation affects droughts and floods at local and regional scales M. Brunner 10.1088/1748-9326/ac36f6
- Use of Hydrological Models in Global Stochastic Flood Modeling G. Olcese et al. 10.1029/2022WR032743
- Multivariate statistical modelling of the drivers of compound flood events in south Florida R. Jane et al. 10.5194/nhess-20-2681-2020
- Long-term variability in hydrological droughts and floods in sub-Saharan Africa: New perspectives from a 65-year daily streamflow dataset J. Ekolu et al. 10.1016/j.jhydrol.2022.128359
- A statistics-based automated flood event separation S. Fischer et al. 10.1016/j.hydroa.2020.100070
- Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. 10.5194/hess-25-105-2021
- Spatial Dependence of Floods Shaped by Spatiotemporal Variations in Meteorological and Land‐Surface Processes M. Brunner et al. 10.1029/2020GL088000
25 citations as recorded by crossref.
- A Process‐Based Framework to Characterize and Classify Runoff Events: The Event Typology of Germany L. Tarasova et al. 10.1029/2019WR026951
- Extreme floods in Europe: going beyond observations using reforecast ensemble pooling M. Brunner & L. Slater 10.5194/hess-26-469-2022
- A methodology for the spatiotemporal identification of compound hazards: wind and precipitation extremes in Great Britain (1979–2019) A. Tilloy et al. 10.5194/esd-13-993-2022
- Simultaneous flood risk analysis and its future change among all the 109 class-A river basins in Japan using a large ensemble climate simulation database d4PDF T. Tanaka et al. 10.1088/1748-9326/abfb2b
- Large-scale flood risk assessment and management: Prospects of a systems approach K. Schröter et al. 10.1016/j.wasec.2021.100109
- Dynamic spatio-temporal generation of large-scale synthetic gridded precipitation: with improved spatial coherence of extremes D. Diederen & Y. Liu 10.1007/s00477-019-01724-9
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
- Spatial dependence of floods shaped by extreme rainfall under the influence of urbanization M. Lu et al. 10.1016/j.scitotenv.2022.159134
- Clustering Simultaneous Occurrences of the Extreme Floods in the Neckar Catchment E. Modiri & A. Bárdossy 10.3390/w13040399
- Floods and droughts: a multivariate perspective M. Brunner 10.5194/hess-27-2479-2023
- Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach M. Brunner & E. Gilleland 10.5194/hess-24-3967-2020
- Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach B. Winter et al. 10.5194/nhess-20-1689-2020
- Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland P. Camus et al. 10.1016/j.wace.2024.100662
- Varying Importance of Storm Types and Antecedent Conditions for Local and Regional Floods M. Brunner & E. Dougherty 10.1029/2022WR033249
- Testing the Multivariate Hüsler–Reiss Model as a Practical Parametric Approach for Multiple River Flood Risk Assessment Using d4PDF Data: A Case Study in Kyushu Island, Japan T. Tanaka & T. Kitano 10.1061/JHYEFF.HEENG-6065
- Space–time dependence of compound hot–dry events in the United States: assessment using a multi-site multi-variable weather generator M. Brunner et al. 10.5194/esd-12-621-2021
- Toward Global Stochastic River Flood Modeling O. Wing et al. 10.1029/2020WR027692
- How Probable Is Widespread Flooding in the United States? M. Brunner et al. 10.1029/2020WR028096
- Reservoir regulation affects droughts and floods at local and regional scales M. Brunner 10.1088/1748-9326/ac36f6
- Use of Hydrological Models in Global Stochastic Flood Modeling G. Olcese et al. 10.1029/2022WR032743
- Multivariate statistical modelling of the drivers of compound flood events in south Florida R. Jane et al. 10.5194/nhess-20-2681-2020
- Long-term variability in hydrological droughts and floods in sub-Saharan Africa: New perspectives from a 65-year daily streamflow dataset J. Ekolu et al. 10.1016/j.jhydrol.2022.128359
- A statistics-based automated flood event separation S. Fischer et al. 10.1016/j.hydroa.2020.100070
- Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. 10.5194/hess-25-105-2021
- Spatial Dependence of Floods Shaped by Spatiotemporal Variations in Meteorological and Land‐Surface Processes M. Brunner et al. 10.1029/2020GL088000
Latest update: 18 Apr 2024
Short summary
Floods affect many communities and cause a large amount of damage worldwide.
Since we choose to live in natural flood plains and are unable to prevent all floods, a system of insurance and reinsurance was set up.
For these institutes to not fail, estimates are required of the frequency of large-scale flood events.
We explore a new method to obtain a large catalogue of synthetic, spatially coherent, large-scale river discharge events, using a recent (gridded) European discharge data set.
Floods affect many communities and cause a large amount of damage worldwide.
Since we choose to...
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