Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2759-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-2759-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 May 2018
Research article |
| 08 May 2018
| 08 May 2018
Effects of variability in probable maximum precipitation patterns on flood losses
Andreas Paul Zischg
CORRESPONDING AUTHOR
University of Bern, Institute of Geography, Oeschger Centre for Climate Change Research, Mobiliar Lab for Natural Risks, Bern, 3012, Switzerland
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Guido Felder
University of Bern, Institute of Geography, Oeschger Centre for Climate Change Research, Mobiliar Lab for Natural Risks, Bern, 3012, Switzerland
Rolf Weingartner
University of Bern, Institute of Geography, Oeschger Centre for Climate Change Research, Mobiliar Lab for Natural Risks, Bern, 3012, Switzerland
Niall Quinn
Fathom Ltd., Bristol, BS1 6QF, UK
Gemma Coxon
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Jeffrey Neal
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Jim Freer
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Paul Bates
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
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Cited
31 citations as recorded by crossref.
- Vulnerability patterns of road network to extreme floods based on accessibility measures T. Papilloud & M. Keiler 10.1016/j.trd.2021.103045
- 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
- Consideration of high-quality development strategies for soil and water conservation on the loess plateau J. Zhang et al. 10.1038/s41598-022-12006-w
- Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin D. Viviroli et al. 10.5194/nhess-22-2891-2022
- Managing residual flood risk: Lessons learned from experiences in Taiwan H. Wang et al. 10.1016/j.pdisas.2024.100337
- A method to reconstruct flood scenarios using field interviews and hydrodynamic modelling: application to the 2017 Suleja and Tafa, Nigeria flood M. Malgwi et al. 10.1007/s11069-021-04756-z
- A practical methodology to perform global sensitivity analysis for 2D hydrodynamic computationally intensive simulations S. Alipour et al. 10.2166/nh.2021.243
- Mapping the Sensitivity of Population Exposure to Changes in Flood Magnitude: Prospective Application From Local to Global Scale A. Zischg & M. Bermúdez 10.3389/feart.2020.534735
- Planning London’s green spaces in an integrated water management approach to enhance future resilience in urban stormwater control Z. Zhang et al. 10.1016/j.jhydrol.2021.126126
- Modelling Spatiotemporal Dynamics of Large Wood Recruitment, Transport, and Deposition at the River Reach Scale during Extreme Floods A. Zischg et al. 10.3390/w10091134
- Neglecting property-level flood risk adaptation measures lead to overestimation in flood risk analysis – An empirical study N. Rindsfüser et al. 10.1016/j.ijdrr.2025.105326
- Impact of different weather generator scenarios on extreme flood estimates in Switzerland E. Kritidou et al. 10.1007/s00477-024-02843-8
- Fine‐scale damage assessment of urban flooding based on the 1D/2D coupled hydrodynamic model B. Dong et al. 10.1002/rvr2.68
- Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks A. Marcolongo et al. 10.1017/eds.2022.1
- Road network disruptions during extreme flooding events and their impact on the access to emergency medical services: A spatiotemporal vulnerability analysis T. Papilloud et al. 10.1016/j.scitotenv.2024.177140
- Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment S. Gangrade et al. 10.1016/j.jhydrol.2019.06.027
- A typology of compound weather and climate events J. Zscheischler et al. 10.1038/s43017-020-0060-z
- Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
- Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
- Storylines of extreme precipitation events and flood impacts in alpine and pre-alpine environments under various global warming levels L. Munz et al. 10.1016/j.scitotenv.2024.177791
- A downward-counterfactual analysis of flash floods in Germany P. Voit & M. Heistermann 10.5194/nhess-24-2147-2024
- Application of Fuzzy TOPSIS to Flood Hazard Mapping for Levee Failure T. Kim et al. 10.3390/w11030592
- Future Changes in Flood Hazards across Canada under a Changing Climate A. Gaur et al. 10.3390/w10101441
- Large ensemble flood loss modelling and uncertainty assessment for future climate conditions for a Swiss pre-alpine catchment L. Keller et al. 10.1016/j.scitotenv.2019.07.206
- Toward Global Stochastic River Flood Modeling O. Wing et al. 10.1029/2020WR027692
- Local impacts on road networks and access to critical locations during extreme floods S. Loreti et al. 10.1038/s41598-022-04927-3
- Revisiting the PMP return periods: A Case study of IMERG data in CONUS K. Ekpetere et al. 10.1016/j.teadva.2024.200120
- Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions Y. Wang et al. 10.3390/w10091229
- Evaluating disaster prevention benefits of underground space from the perspective of urban resilience S. Liu et al. 10.1016/j.ijdrr.2021.102206
- Estimating Rainfall Anomalies with IMERG Satellite Data: Access via the IPE Web Application K. Ekpetere et al. 10.3390/rs16224137
- Floodplains and Complex Adaptive Systems—Perspectives on Connecting the Dots in Flood Risk Assessment with Coupled Component Models A. Zischg 10.3390/systems6020009
30 citations as recorded by crossref.
- Vulnerability patterns of road network to extreme floods based on accessibility measures T. Papilloud & M. Keiler 10.1016/j.trd.2021.103045
- 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
- Consideration of high-quality development strategies for soil and water conservation on the loess plateau J. Zhang et al. 10.1038/s41598-022-12006-w
- Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin D. Viviroli et al. 10.5194/nhess-22-2891-2022
- Managing residual flood risk: Lessons learned from experiences in Taiwan H. Wang et al. 10.1016/j.pdisas.2024.100337
- A method to reconstruct flood scenarios using field interviews and hydrodynamic modelling: application to the 2017 Suleja and Tafa, Nigeria flood M. Malgwi et al. 10.1007/s11069-021-04756-z
- A practical methodology to perform global sensitivity analysis for 2D hydrodynamic computationally intensive simulations S. Alipour et al. 10.2166/nh.2021.243
- Mapping the Sensitivity of Population Exposure to Changes in Flood Magnitude: Prospective Application From Local to Global Scale A. Zischg & M. Bermúdez 10.3389/feart.2020.534735
- Planning London’s green spaces in an integrated water management approach to enhance future resilience in urban stormwater control Z. Zhang et al. 10.1016/j.jhydrol.2021.126126
- Modelling Spatiotemporal Dynamics of Large Wood Recruitment, Transport, and Deposition at the River Reach Scale during Extreme Floods A. Zischg et al. 10.3390/w10091134
- Neglecting property-level flood risk adaptation measures lead to overestimation in flood risk analysis – An empirical study N. Rindsfüser et al. 10.1016/j.ijdrr.2025.105326
- Impact of different weather generator scenarios on extreme flood estimates in Switzerland E. Kritidou et al. 10.1007/s00477-024-02843-8
- Fine‐scale damage assessment of urban flooding based on the 1D/2D coupled hydrodynamic model B. Dong et al. 10.1002/rvr2.68
- Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks A. Marcolongo et al. 10.1017/eds.2022.1
- Road network disruptions during extreme flooding events and their impact on the access to emergency medical services: A spatiotemporal vulnerability analysis T. Papilloud et al. 10.1016/j.scitotenv.2024.177140
- Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment S. Gangrade et al. 10.1016/j.jhydrol.2019.06.027
- A typology of compound weather and climate events J. Zscheischler et al. 10.1038/s43017-020-0060-z
- Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
- Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
- Storylines of extreme precipitation events and flood impacts in alpine and pre-alpine environments under various global warming levels L. Munz et al. 10.1016/j.scitotenv.2024.177791
- A downward-counterfactual analysis of flash floods in Germany P. Voit & M. Heistermann 10.5194/nhess-24-2147-2024
- Application of Fuzzy TOPSIS to Flood Hazard Mapping for Levee Failure T. Kim et al. 10.3390/w11030592
- Future Changes in Flood Hazards across Canada under a Changing Climate A. Gaur et al. 10.3390/w10101441
- Large ensemble flood loss modelling and uncertainty assessment for future climate conditions for a Swiss pre-alpine catchment L. Keller et al. 10.1016/j.scitotenv.2019.07.206
- Toward Global Stochastic River Flood Modeling O. Wing et al. 10.1029/2020WR027692
- Local impacts on road networks and access to critical locations during extreme floods S. Loreti et al. 10.1038/s41598-022-04927-3
- Revisiting the PMP return periods: A Case study of IMERG data in CONUS K. Ekpetere et al. 10.1016/j.teadva.2024.200120
- Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions Y. Wang et al. 10.3390/w10091229
- Evaluating disaster prevention benefits of underground space from the perspective of urban resilience S. Liu et al. 10.1016/j.ijdrr.2021.102206
- Estimating Rainfall Anomalies with IMERG Satellite Data: Access via the IPE Web Application K. Ekpetere et al. 10.3390/rs16224137
Latest update: 17 Mar 2025
Short summary
We developed a model experiment and distributed different rainfall patterns over a mountain river basin. For each rainfall scenario, we computed the flood losses with a model chain. The experiment shows that flood losses vary considerably within the river basin and depend on the timing of the flood peaks from the basin's sub-catchments. Basin-specific characteristics such as the location of the main settlements within the floodplains play an additional important role in determining flood losses.
We developed a model experiment and distributed different rainfall patterns over a mountain...
