Articles | Volume 22, issue 9
https://doi.org/10.5194/nhess-22-2891-2022
© Author(s) 2022. 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-22-2891-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
02 Sep 2022
Research article | Highlight paper |
| 02 Sep 2022
| 02 Sep 2022
Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin
Daniel Viviroli
CORRESPONDING AUTHOR
Department of Geography, University of Zurich, Zurich, Switzerland
Anna E. Sikorska-Senoner
Department of Geography, University of Zurich, Zurich, Switzerland
Guillaume Evin
Université Grenoble Alpes, INRAE, UR ETNA, Grenoble, France
Maria Staudinger
Department of Geography, University of Zurich, Zurich, Switzerland
Martina Kauzlaric
Mobiliar Lab for Natural Risks, University of Bern, Bern,
Switzerland
Oeschger Centre for Climate Change Research, University of Bern,
Bern, Switzerland
Jérémy Chardon
Université Grenoble Alpes, CNRS, IRD, Grenoble INP, IGE,
Grenoble, France
Anne-Catherine Favre
Université Grenoble Alpes, CNRS, IRD, Grenoble INP, IGE,
Grenoble, France
Benoit Hingray
Université Grenoble Alpes, CNRS, IRD, Grenoble INP, IGE,
Grenoble, France
Gilles Nicolet
Université Grenoble Alpes, CNRS, IRD, Grenoble INP, IGE,
Grenoble, France
Damien Raynaud
Université Grenoble Alpes, CNRS, IRD, Grenoble INP, IGE,
Grenoble, France
Jan Seibert
Department of Geography, University of Zurich, Zurich, Switzerland
Department of Aquatic Sciences and Assessment, Swedish University
of Agricultural Sciences, Uppsala, Sweden
Rolf Weingartner
Mobiliar Lab for Natural Risks, University of Bern, Bern,
Switzerland
Oeschger Centre for Climate Change Research, University of Bern,
Bern, Switzerland
Calvin Whealton
Paul Scherrer Institute, Villigen, Switzerland
now at: Booz Allen Hamilton, Lexington Park, Maryland, United States
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Cited
12 citations as recorded by crossref.
- Assessing downscaling methods to simulate hydrologically relevant weather scenarios from a global atmospheric reanalysis: case study of the upper Rhône River (1902–2009) C. Legrand et al. 10.5194/hess-28-2139-2024
- Generating hourly mean areal precipitation times series with an at-site weather generator in Switzerland K. Maloku et al. 10.1007/s00477-024-02757-5
- The role of antecedent conditions in translating precipitation events into extreme floods at the catchment scale and in a large-basin context M. Staudinger et al. 10.5194/nhess-25-247-2025
- Rainfall simulation based on parsimonious calibration of a multifractal canonical disaggregation scheme in the Arno river basin, Italy F. Cappelli et al. 10.1016/j.ejrh.2025.102447
- It could have been much worse: spatial counterfactuals of the July 2021 flood in the Ahr Valley, Germany S. Vorogushyn et al. 10.5194/nhess-25-2007-2025
- User-tailored sub-selection of climate model ensemble members for impact studies A. Sikorska-Senoner et al. 10.1016/j.scitotenv.2024.175769
- Modeling Intensity‐Duration‐Frequency Curves for the Whole Range of Non‐Zero Precipitation: A Comparison of Models A. Haruna et al. 10.1029/2022WR033362
- Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model K. Maloku et al. 10.5194/hess-27-3643-2023
- Evaluation of surrogate flood models for the use in impact-based flood warning systems at national scale M. Mosimann et al. 10.1016/j.envsoft.2023.105936
- Impact of different weather generator scenarios on extreme flood estimates in Switzerland E. Kritidou et al. 10.1007/s00477-024-02843-8
- Generation of sub-daily precipitation time series anywhere in Switzerland by mapping the parameters of GWEX-MRC, an at-site weather generator K. Maloku et al. 10.1016/j.ejrh.2025.102454
- Accounting for historical data uncertainty in flood frequency analysis: the Upper Rhine River M. Lang et al. 10.1016/j.jhydrol.2025.133480
12 citations as recorded by crossref.
- Assessing downscaling methods to simulate hydrologically relevant weather scenarios from a global atmospheric reanalysis: case study of the upper Rhône River (1902–2009) C. Legrand et al. 10.5194/hess-28-2139-2024
- Generating hourly mean areal precipitation times series with an at-site weather generator in Switzerland K. Maloku et al. 10.1007/s00477-024-02757-5
- The role of antecedent conditions in translating precipitation events into extreme floods at the catchment scale and in a large-basin context M. Staudinger et al. 10.5194/nhess-25-247-2025
- Rainfall simulation based on parsimonious calibration of a multifractal canonical disaggregation scheme in the Arno river basin, Italy F. Cappelli et al. 10.1016/j.ejrh.2025.102447
- It could have been much worse: spatial counterfactuals of the July 2021 flood in the Ahr Valley, Germany S. Vorogushyn et al. 10.5194/nhess-25-2007-2025
- User-tailored sub-selection of climate model ensemble members for impact studies A. Sikorska-Senoner et al. 10.1016/j.scitotenv.2024.175769
- Modeling Intensity‐Duration‐Frequency Curves for the Whole Range of Non‐Zero Precipitation: A Comparison of Models A. Haruna et al. 10.1029/2022WR033362
- Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model K. Maloku et al. 10.5194/hess-27-3643-2023
- Evaluation of surrogate flood models for the use in impact-based flood warning systems at national scale M. Mosimann et al. 10.1016/j.envsoft.2023.105936
- Impact of different weather generator scenarios on extreme flood estimates in Switzerland E. Kritidou et al. 10.1007/s00477-024-02843-8
- Generation of sub-daily precipitation time series anywhere in Switzerland by mapping the parameters of GWEX-MRC, an at-site weather generator K. Maloku et al. 10.1016/j.ejrh.2025.102454
- Accounting for historical data uncertainty in flood frequency analysis: the Upper Rhine River M. Lang et al. 10.1016/j.jhydrol.2025.133480
Latest update: 05 Jul 2025
Executive editor
This paper is very relevant for science but also society: the paper presents an approach for estimating rare to very rare floods at multiple sites in a large river basin. Compared to statistical approaches based on streamflow observations, the Continuous Simulation (CS) approach has substantial advantages in that it explicitly considers important processes of flood generation such as soil moisture, snow accumulation and snowmelt, and in addition can implement lake regulation, dam operation as well as lake and floodplain retention
This paper is very relevant for science but also society: the paper presents an approach for...
Short summary
Estimating the magnitude of rare to very rare floods is a challenging task due to a lack of sufficiently long observations. The challenge is even greater in large river basins, where precipitation patterns and amounts differ considerably between individual events and floods from different parts of the basin coincide. We show that a hydrometeorological model chain can provide plausible estimates in this setting and can thus inform flood risk and safety assessments for critical infrastructure.
Estimating the magnitude of rare to very rare floods is a challenging task due to a lack of...
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