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
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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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Manuscript not accepted for further review
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Rosanna A. Lane, Gemma Coxon, Jim Freer, Jan Seibert, and Thorsten Wagener
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Erwan Le Roux, Guillaume Evin, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
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Jan Seibert and Sten Bergström
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Guillaume Evin, Samuel Somot, and Benoit Hingray
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Philipp Wanner, Noemi Buri, Kevin Wyss, Andreas Zischg, Rolf Weingartner, Jan Baumgartner, Benjamin Berger, and Christoph Wanner
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-512, https://doi.org/10.5194/hess-2021-512, 2021
Preprint withdrawn
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Guillaume Evin, Matthieu Lafaysse, Maxime Taillardat, and Michaël Zamo
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Silja Stefnisdóttir, Anna E. Sikorska-Senoner, Eyjólfur I. Ásgeirsson, and David C. Finger
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Regula Muelchi, Ole Rössler, Jan Schwanbeck, Rolf Weingartner, and Olivia Martius
Hydrol. Earth Syst. Sci., 25, 3577–3594, https://doi.org/10.5194/hess-25-3577-2021, https://doi.org/10.5194/hess-25-3577-2021, 2021
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Marit Van Tiel, Anne F. Van Loon, Jan Seibert, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 25, 3245–3265, https://doi.org/10.5194/hess-25-3245-2021, https://doi.org/10.5194/hess-25-3245-2021, 2021
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Glaciers can buffer streamflow during dry and warm periods, but under which circumstances can melt compensate precipitation deficits? Streamflow responses to warm and dry events were analyzed using
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Regula Muelchi, Ole Rössler, Jan Schwanbeck, Rolf Weingartner, and Olivia Martius
Hydrol. Earth Syst. Sci., 25, 3071–3086, https://doi.org/10.5194/hess-25-3071-2021, https://doi.org/10.5194/hess-25-3071-2021, 2021
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Camila Alvarez-Garreton, Juan Pablo Boisier, René Garreaud, Jan Seibert, and Marc Vis
Hydrol. Earth Syst. Sci., 25, 429–446, https://doi.org/10.5194/hess-25-429-2021, https://doi.org/10.5194/hess-25-429-2021, 2021
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The megadrought experienced in Chile (2010–2020) has led to larger than expected water deficits. By analysing 106 basins with snow-/rainfall regimes, we relate such intensification with the hydrological memory of the basins, explained by snow and groundwater. Snow-dominated basins have larger memory and thus accumulate the effect of persistent precipitation deficits more strongly than pluvial basins. This notably affects central Chile, a water-limited region where most of the population lives.
Anna E. Sikorska-Senoner, Bettina Schaefli, and Jan Seibert
Nat. Hazards Earth Syst. Sci., 20, 3521–3549, https://doi.org/10.5194/nhess-20-3521-2020, https://doi.org/10.5194/nhess-20-3521-2020, 2020
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This work proposes methods for reducing the computational requirements of hydrological simulations for the estimation of very rare floods that occur on average less than once in 1000 years. These methods enable the analysis of long streamflow time series (here for example 10 000 years) at low computational costs and with modelling uncertainty. They are to be used within continuous simulation frameworks with long input time series and are readily transferable to similar simulation tasks.
Maria Staudinger, Stefan Seeger, Barbara Herbstritt, Michael Stoelzle, Jan Seibert, Kerstin Stahl, and Markus Weiler
Earth Syst. Sci. Data, 12, 3057–3066, https://doi.org/10.5194/essd-12-3057-2020, https://doi.org/10.5194/essd-12-3057-2020, 2020
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The data set CH-IRP provides isotope composition in precipitation and streamflow from 23 Swiss catchments, being unique regarding its long-term multi-catchment coverage along an alpine–pre-alpine gradient. CH-IRP contains fortnightly time series of stable water isotopes from streamflow grab samples complemented by time series in precipitation. Sampling conditions, catchment and climate information, lab standards and errors are provided together with areal precipitation and catchment boundaries.
Erwan Le Roux, Guillaume Evin, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
Nat. Hazards Earth Syst. Sci., 20, 2961–2977, https://doi.org/10.5194/nhess-20-2961-2020, https://doi.org/10.5194/nhess-20-2961-2020, 2020
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To minimize the risk of structure collapse due to extreme snow loads, structure standards rely on 50-year return levels of ground snow load (GSL), i.e. levels exceeded once every 50 years on average, that do not account for climate change. We study GSL data in the French Alps massifs from 1959 and 2019 and find that these 50-year return levels are decreasing with time between 900 and 4800 m of altitude, but they still exceed return levels of structure standards for half of the massifs at 1800 m.
Michael Stoelzle, Maria Staudinger, Kerstin Stahl, and Markus Weiler
Proc. IAHS, 383, 43–50, https://doi.org/10.5194/piahs-383-43-2020, https://doi.org/10.5194/piahs-383-43-2020, 2020
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The role of recharge and catchment storage is crucial to understand streamflow drought sensitivity. Here we introduce a model experiment with recharge stress tests as complement to climate scenarios to quantify the streamflow drought sensitivities of catchments in Switzerland. We identified a pre-drought period of 12 months as maximum storage-memory for the study catchments. From stress testing, we found up to 200 days longer summer streamflow droughts and minimum flow reductions of 50 %–80 %.
Marc Girons Lopez, Marc J. P. Vis, Michal Jenicek, Nena Griessinger, and Jan Seibert
Hydrol. Earth Syst. Sci., 24, 4441–4461, https://doi.org/10.5194/hess-24-4441-2020, https://doi.org/10.5194/hess-24-4441-2020, 2020
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Snow processes are crucial for runoff in mountainous areas, but their complexity makes water management difficult. Temperature models are widely used as they are simple and do not require much data, but not much thought is usually given to which model to use, which may lead to bad predictions. We studied the impact of many model alternatives and found that a more complex model does not necessarily perform better. Finding which processes are most important in each area is a much better strategy.
Damien Raynaud, Benoit Hingray, Guillaume Evin, Anne-Catherine Favre, and Jérémy Chardon
Hydrol. Earth Syst. Sci., 24, 4339–4352, https://doi.org/10.5194/hess-24-4339-2020, https://doi.org/10.5194/hess-24-4339-2020, 2020
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This research paper proposes a weather generator combining two sampling approaches. A first generator recombines large-scale atmospheric situations. A second generator is applied to these atmospheric trajectories in order to simulate long time series of daily regional precipitation and temperature. The method is applied to daily time series in Switzerland. It reproduces adequately the observed climatology and improves the reproduction of extreme precipitation values.
Kirsti Hakala, Nans Addor, Thibault Gobbe, Johann Ruffieux, and Jan Seibert
Hydrol. Earth Syst. Sci., 24, 3815–3833, https://doi.org/10.5194/hess-24-3815-2020, https://doi.org/10.5194/hess-24-3815-2020, 2020
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Under a changing climate, reliable information on future hydrological conditions is necessary to inform water resource management. Here, we collaborated with a hydropower company that selected streamflow and energy demand indices. Using these indices, we identified stakeholder needs and used this to tailor the production of our climate change impact projections. We show that opportunities and risks for a hydropower company depend on a range of factors beyond those covered by traditional studies.
Leonie Kiewiet, Ilja van Meerveld, Manfred Stähli, and Jan Seibert
Hydrol. Earth Syst. Sci., 24, 3381–3398, https://doi.org/10.5194/hess-24-3381-2020, https://doi.org/10.5194/hess-24-3381-2020, 2020
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The sources of stream water are important, for instance, for predicting floods. The connectivity between streams and different (ground-)water sources can change during rain events, which affects the stream water composition. We investigated this for stream water sampled during four events and found that stream water came from different sources. The stream water composition changed gradually, and we showed that changes in solute concentrations could be partly linked to changes in connectivity.
Barbara Strobl, Simon Etter, H. J. Ilja van Meerveld, and Jan Seibert
Geosci. Commun., 3, 109–126, https://doi.org/10.5194/gc-3-109-2020, https://doi.org/10.5194/gc-3-109-2020, 2020
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Training can deter people from joining a citizen science project but may be needed to ensure good data quality. In this study, we found that an online game that was originally developed for data quality control in a citizen science project can be used for training as well. These findings are useful for the development of training strategies for other citizen science projects because they indicate that gamified approaches might be valuable scalable training methods.
H. J. Ilja van Meerveld, James W. Kirchner, Marc J. P. Vis, Rick S. Assendelft, and Jan Seibert
Hydrol. Earth Syst. Sci., 23, 4825–4834, https://doi.org/10.5194/hess-23-4825-2019, https://doi.org/10.5194/hess-23-4825-2019, 2019
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Flowing stream networks extend and retract seasonally and in response to precipitation. This affects the distances and thus the time that it takes a water molecule to reach the flowing stream and the stream outlet. When the network is fully extended, the travel times are short, but when the network retracts, the travel times become longer and more uniform. These dynamics should be included when modeling solute or pollutant transport.
Jari-Pekka Nousu, Matthieu Lafaysse, Matthieu Vernay, Joseph Bellier, Guillaume Evin, and Bruno Joly
Nonlin. Processes Geophys., 26, 339–357, https://doi.org/10.5194/npg-26-339-2019, https://doi.org/10.5194/npg-26-339-2019, 2019
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Forecasting the height of new snow is crucial for avalanche hazard, road viability, ski resorts and tourism. The numerical models suffer from systematic and significant errors which are misleading for the final users. Here, we applied for the first time a state-of-the-art statistical method to correct ensemble numerical forecasts of the height of new snow from their statistical link with measurements in French Alps and Pyrenees. Thus the realism of automatic forecasts can be quickly improved.
Judith Meyer, Irene Kohn, Kerstin Stahl, Kirsti Hakala, Jan Seibert, and Alex J. Cannon
Hydrol. Earth Syst. Sci., 23, 1339–1354, https://doi.org/10.5194/hess-23-1339-2019, https://doi.org/10.5194/hess-23-1339-2019, 2019
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Several multivariate bias correction methods have been developed recently, but only a few studies have tested the effect of multivariate bias correction on hydrological impact projections. This study shows that incorporating or ignoring inter-variable relations between air temperature and precipitation can have a notable effect on the projected snowfall fraction. The effect translated to considerable consequences for the glacio-hydrological responses and streamflow components of the catchments.
Manuela I. Brunner, Reinhard Furrer, and Anne-Catherine Favre
Hydrol. Earth Syst. Sci., 23, 107–124, https://doi.org/10.5194/hess-23-107-2019, https://doi.org/10.5194/hess-23-107-2019, 2019
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Floods often affect a whole region and not only a single location. When estimating the rarity of regional events, the dependence of floods at different locations should be taken into account. We propose a simple model that considers the dependence of flood events at different locations and the network structure of the river system. We test this model on a medium-sized catchment in Switzerland. The model allows for the simulations of flood event sets at multiple gauged and ungauged locations.
Simon Etter, Barbara Strobl, Jan Seibert, and H. J. Ilja van Meerveld
Hydrol. Earth Syst. Sci., 22, 5243–5257, https://doi.org/10.5194/hess-22-5243-2018, https://doi.org/10.5194/hess-22-5243-2018, 2018
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To evaluate the potential value of streamflow estimates for hydrological model calibration, we created synthetic streamflow datasets in various temporal resolutions based on the errors in streamflow estimates of 136 citizens. Our results show that streamflow estimates of untrained citizens are too inaccurate to be useful for model calibration. If, however, the errors can be reduced by training or filtering, the estimates become useful if also a sufficient number of estimates are available.
Guillaume Evin, Thomas Curt, and Nicolas Eckert
Nat. Hazards Earth Syst. Sci., 18, 2641–2651, https://doi.org/10.5194/nhess-18-2641-2018, https://doi.org/10.5194/nhess-18-2641-2018, 2018
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Very large wildfires have high human, economic, and ecological impacts. Preventing such events is a major objective of the new fire policy set up in France in 1994, which is oriented towards fast and massive fire suppression. This study investigates the effect of this policy on the largest fires. We estimate the burned area corresponding to fires that occur every 5, 20, and 50 years on average (so-called return periods) in southern France.
Andreas Paul Zischg, Guido Felder, Rolf Weingartner, Niall Quinn, Gemma Coxon, Jeffrey Neal, Jim Freer, and Paul Bates
Hydrol. Earth Syst. Sci., 22, 2759–2773, https://doi.org/10.5194/hess-22-2759-2018, https://doi.org/10.5194/hess-22-2759-2018, 2018
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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.
Daphné Freudiger, David Mennekes, Jan Seibert, and Markus Weiler
Earth Syst. Sci. Data, 10, 805–814, https://doi.org/10.5194/essd-10-805-2018, https://doi.org/10.5194/essd-10-805-2018, 2018
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To understand glacier changes in the Swiss Alps at the large scale, long-term datasets are needed. To fill the gap between the existing glacier inventories of the Swiss Alps between 1850 and 1973, we digitized glacier outlines from topographic historical maps of Switzerland for the time periods ca. 1900 and ca. 1935. We found that > 88 % of the digitized glacier area was plausible compared to four inventories. The presented dataset is therefore valuable information for long-term glacier studies.
Jan Seibert, Marc J. P. Vis, Irene Kohn, Markus Weiler, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 22, 2211–2224, https://doi.org/10.5194/hess-22-2211-2018, https://doi.org/10.5194/hess-22-2211-2018, 2018
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In many glacio-hydrological models glacier areas are assumed to be constant over time, which is a crucial limitation. Here we describe a novel approach to translate mass balances as simulated by the (glacio)hydrological model into glacier area changes. We combined the Δh approach of Huss et al. (2010) with the bucket-type model HBV and introduced a lookup table approach, which also allows periods with advancing glaciers to be represented, which is not possible with the original Huss method.
Simon Schick, Ole Rössler, and Rolf Weingartner
Hydrol. Earth Syst. Sci., 22, 929–942, https://doi.org/10.5194/hess-22-929-2018, https://doi.org/10.5194/hess-22-929-2018, 2018
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Forecasting at the seasonal timescale aims to answer questions such as the following: how much water do we have next summer? Is next winter going to be extremely cold? Constrained by computer power, earth system models (ESMs) do not resolve all environmental variables of interest. Our study tests a method to refine the output of such an ESM for streamflow forecasting in the Rhine basin. The results show that the method is able to translate skill at different spatial scales.
Guillaume Evin, Anne-Catherine Favre, and Benoit Hingray
Hydrol. Earth Syst. Sci., 22, 655–672, https://doi.org/10.5194/hess-22-655-2018, https://doi.org/10.5194/hess-22-655-2018, 2018
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This research paper proposes a multi-site daily precipitation model, named GWEX, which aims to reproduce the statistical features of extremely rare events at different temporal and spatial scales. Recent advances and various statistical methods (regionalization, disaggregation) are considered in order to obtain a robust and appropriate representation of the most extreme precipitation fields. Performances are shown with an application to 105 stations, covering a large region in Switzerland.
Jérémy Chardon, Benoit Hingray, and Anne-Catherine Favre
Hydrol. Earth Syst. Sci., 22, 265–286, https://doi.org/10.5194/hess-22-265-2018, https://doi.org/10.5194/hess-22-265-2018, 2018
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We present a two-stage statistical downscaling model for the probabilistic prediction of local precipitation, where the downscaling statistical link is estimated from atmospheric circulation analogs of the current prediction day.
The model allows for a day-to-day adaptive and tailored downscaling. It can reveal specific predictors for peculiar and non-frequent weather configurations. This approach noticeably improves the skill of the prediction for both precipitation occurrence and quantity.
Sandra Pool, Marc J. P. Vis, Rodney R. Knight, and Jan Seibert
Hydrol. Earth Syst. Sci., 21, 5443–5457, https://doi.org/10.5194/hess-21-5443-2017, https://doi.org/10.5194/hess-21-5443-2017, 2017
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This modeling study explores the effect of different model calibration criteria on the accuracy of simulated streamflow characteristics (SFCs). The results imply that one has to consider significant uncertainties when simulated time series are used to derive SFCs that were not included in the calibration. Thus, we strongly recommend calibrating the runoff model explicitly for the SFCs of interest. Our study helps improve the estimation of SFCs for ungauged catchments based on runoff models.
Daniel B. Bernet, Volker Prasuhn, and Rolf Weingartner
Nat. Hazards Earth Syst. Sci., 17, 1659–1682, https://doi.org/10.5194/nhess-17-1659-2017, https://doi.org/10.5194/nhess-17-1659-2017, 2017
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To quantify the relevance of surface water floods in Switzerland, we introduce and analyze an exhaustive set of insurance flood damage claims. First, we present a method to classify such claims and then we analyze the classified data with respect to space and time. The results reveal that just as fluvial floods are responsible for vast damage in Switzerland, so too are surface water floods. Accordingly, surface water floods should receive similar attention like fluvial floods.
H. J. Ilja van Meerveld, Marc J. P. Vis, and Jan Seibert
Hydrol. Earth Syst. Sci., 21, 4895–4905, https://doi.org/10.5194/hess-21-4895-2017, https://doi.org/10.5194/hess-21-4895-2017, 2017
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We tested the usefulness of stream level class data for hydrological model calibration. Only two stream level classes, e.g. above or below a rock in the stream, were already informative, particularly when the boundary was chosen at a high stream level. There was hardly any improvement in model performance when using more than five stream level classes. These results suggest that model based streamflow time series can be obtained from citizen science based water level class data.
Simon Schick, Ole Rössler, and Rolf Weingartner
Proc. IAHS, 374, 159–163, https://doi.org/10.5194/piahs-374-159-2016, https://doi.org/10.5194/piahs-374-159-2016, 2016
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In water resources management, planning at the seasonal time scale is confronted with large uncertainties. Key variables are often unknown or hard to forecast, e.g. precipitation of the next three months. In the present study, we try to highlight some aspects concerning the development of a model faced with these uncertainties. Using the example of statistical streamflow forecasts, the results of the study indicate that the forecast accuracy is improved by the combination of several models.
Tracy Ewen and Jan Seibert
Hydrol. Earth Syst. Sci., 20, 4079–4091, https://doi.org/10.5194/hess-20-4079-2016, https://doi.org/10.5194/hess-20-4079-2016, 2016
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Games are an optimal way to teach about water resource sharing, as they allow real-world scenarios to be explored. We look at how games can be used to teach about water resource sharing, by both playing and developing water games. An evaluation of the web-based game Irrigania found Irrigania to be an effective and easy tool to incorporate into curriculum, and a course on developing water games encouraged students to think about water resource sharing in a more critical and insightful way.
Nena Griessinger, Jan Seibert, Jan Magnusson, and Tobias Jonas
Hydrol. Earth Syst. Sci., 20, 3895–3905, https://doi.org/10.5194/hess-20-3895-2016, https://doi.org/10.5194/hess-20-3895-2016, 2016
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In Alpine catchments, snowmelt is a major contribution to runoff. In this study, we address the question of whether the performance of a hydrological model can be enhanced by integrating data from an external snow monitoring system. To this end, a hydrological model was driven with snowmelt input from snow models of different complexities. Best performance was obtained with a snow model, which utilized data assimilation, in particular for catchments at higher elevations and for snow-rich years.
Jean-Philippe Vidal, Benoît Hingray, Claire Magand, Eric Sauquet, and Agnès Ducharne
Hydrol. Earth Syst. Sci., 20, 3651–3672, https://doi.org/10.5194/hess-20-3651-2016, https://doi.org/10.5194/hess-20-3651-2016, 2016
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Possible transient futures of winter and summer low flows for two snow-influenced catchments in the southern French Alps show a strong decrease signal. It is however largely masked by the year-to-year variability, which should be the main target for defining adaptation strategies. Responses of different hydrological models strongly diverge in the future, suggesting to carefully check the robustness of evapotranspiration and snowpack components under a changing climate.
Michal Jenicek, Jan Seibert, Massimiliano Zappa, Maria Staudinger, and Tobias Jonas
Hydrol. Earth Syst. Sci., 20, 859–874, https://doi.org/10.5194/hess-20-859-2016, https://doi.org/10.5194/hess-20-859-2016, 2016
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We quantified how long snowmelt affects runoff, and we estimated the sensitivity of catchments to changes in snowpack. This is relevant as the increase of air temperature might cause decreased snow storage. We used time series from 14 catchments in Switzerland. On average, a decrease of maximum snow storage by 10 % caused a decrease of minimum discharge in July by 2 to 9 %. The results showed a higher sensitivity of summer low flow to snow in alpine catchments compared to pre-alpine catchments.
P. Froidevaux, J. Schwanbeck, R. Weingartner, C. Chevalier, and O. Martius
Hydrol. Earth Syst. Sci., 19, 3903–3924, https://doi.org/10.5194/hess-19-3903-2015, https://doi.org/10.5194/hess-19-3903-2015, 2015
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We investigate precipitation characteristics prior to 4000 annual floods in Switzerland since 1961. The floods were preceded by heavy precipitation, but in most catchments extreme precipitation occurred only during the last 3 days prior to the flood events. Precipitation sums for earlier time periods (like e.g. 4-14 days prior to floods) were mostly average and do not correlate with the return period of the floods.
M. Rinderer, H. C. Komakech, D. Müller, G. L. B. Wiesenberg, and J. Seibert
Hydrol. Earth Syst. Sci., 19, 3505–3516, https://doi.org/10.5194/hess-19-3505-2015, https://doi.org/10.5194/hess-19-3505-2015, 2015
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A field method for assessing soil moisture in semi-arid conditions is proposed and tested in terms of inter-rater reliability with 40 Tanzanian farmers, students and experts. The seven wetness classes are based on qualitative indicators that one can see, feel or hear. It could be shown that the qualitative wetness classes reflect differences in volumetric water content and neither experience nor a certain level of education was a prerequisite to gain high agreement among raters.
J. E. Reynolds, S. Halldin, C. Y. Xu, J. Seibert, and A. Kauffeldt
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-7437-2015, https://doi.org/10.5194/hessd-12-7437-2015, 2015
Revised manuscript not accepted
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In this study it was found that time-scale dependencies of hydrological model parameters are a result of the numerical method used in the model rather than a real time-scale-data dependence. This study further indicates that as soon as sub-daily driving data can be secured, flood forecasting in watersheds with sub-daily concentration times is possible with model parameter values inferred from long time series of daily data, as long as an appropriate numerical method is used.
A. Kuentz, T. Mathevet, J. Gailhard, and B. Hingray
Hydrol. Earth Syst. Sci., 19, 2717–2736, https://doi.org/10.5194/hess-19-2717-2015, https://doi.org/10.5194/hess-19-2717-2015, 2015
M. Staudinger, M. Weiler, and J. Seibert
Hydrol. Earth Syst. Sci., 19, 1371–1384, https://doi.org/10.5194/hess-19-1371-2015, https://doi.org/10.5194/hess-19-1371-2015, 2015
B. François, B. Hingray, F. Hendrickx, and J. D. Creutin
Hydrol. Earth Syst. Sci., 18, 3787–3800, https://doi.org/10.5194/hess-18-3787-2014, https://doi.org/10.5194/hess-18-3787-2014, 2014
I. K. Westerberg, L. Gong, K. J. Beven, J. Seibert, A. Semedo, C.-Y. Xu, and S. Halldin
Hydrol. Earth Syst. Sci., 18, 2993–3013, https://doi.org/10.5194/hess-18-2993-2014, https://doi.org/10.5194/hess-18-2993-2014, 2014
O. Rössler, P. Froidevaux, U. Börst, R. Rickli, O. Martius, and R. Weingartner
Hydrol. Earth Syst. Sci., 18, 2265–2285, https://doi.org/10.5194/hess-18-2265-2014, https://doi.org/10.5194/hess-18-2265-2014, 2014
P. Schneider, S. Pool, L. Strouhal, and J. Seibert
Hydrol. Earth Syst. Sci., 18, 875–892, https://doi.org/10.5194/hess-18-875-2014, https://doi.org/10.5194/hess-18-875-2014, 2014
R. Weingartner, B. Schädler, and P. Hänggi
Geogr. Helv., 68, 239–248, https://doi.org/10.5194/gh-68-239-2013, https://doi.org/10.5194/gh-68-239-2013, 2013
C. Teutschbein and J. Seibert
Hydrol. Earth Syst. Sci., 17, 5061–5077, https://doi.org/10.5194/hess-17-5061-2013, https://doi.org/10.5194/hess-17-5061-2013, 2013
D. Finger, A. Hugentobler, M. Huss, A. Voinesco, H. Wernli, D. Fischer, E. Weber, P.-Y. Jeannin, M. Kauzlaric, A. Wirz, T. Vennemann, F. Hüsler, B. Schädler, and R. Weingartner
Hydrol. Earth Syst. Sci., 17, 3261–3277, https://doi.org/10.5194/hess-17-3261-2013, https://doi.org/10.5194/hess-17-3261-2013, 2013
M. H. Mueller, R. Weingartner, and C. Alewell
Hydrol. Earth Syst. Sci., 17, 1661–1679, https://doi.org/10.5194/hess-17-1661-2013, https://doi.org/10.5194/hess-17-1661-2013, 2013
N. Köplin, B. Schädler, D. Viviroli, and R. Weingartner
Hydrol. Earth Syst. Sci., 17, 619–635, https://doi.org/10.5194/hess-17-619-2013, https://doi.org/10.5194/hess-17-619-2013, 2013
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Maria Magdalena Warter, Dörthe Tetzlaff, Christian Marx, and Chris Soulsby
Nat. Hazards Earth Syst. Sci., 24, 3907–3924, https://doi.org/10.5194/nhess-24-3907-2024, https://doi.org/10.5194/nhess-24-3907-2024, 2024
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Streams are increasingly impacted by droughts and floods. Still, the amount of water needed for sustainable flows remains unclear and contested. A comparison of two streams in the Berlin–Brandenburg region of northeast Germany, using stable water isotopes, shows strong groundwater dependence with seasonal rainfall contributing to high/low flows. Understanding streamflow variability can help us assess the impacts of climate change on future water resource management.
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
Nat. Hazards Earth Syst. Sci., 24, 3703–3721, https://doi.org/10.5194/nhess-24-3703-2024, https://doi.org/10.5194/nhess-24-3703-2024, 2024
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A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the effect of wildfires on flood risk, considering both current and future conditions for the Ebro River basin in Spain. Results show that extreme climate change increases the risk of flooding, especially when considering the effect of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
Miroslav Spano and Jaromir Riha
Nat. Hazards Earth Syst. Sci., 24, 3683–3701, https://doi.org/10.5194/nhess-24-3683-2024, https://doi.org/10.5194/nhess-24-3683-2024, 2024
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The study examines the effects of hydrogeological hazard due to construction of the Skalička Dam near the Hranice Karst on groundwater discharges and water levels in the local karst formations downstream. A simplified pipe model was used to analyze the impact of two dam layouts: lateral and through-flow reservoirs. Results show that the through-flow scheme more significantly influences water levels and the discharge of mineral water, while the lateral layout has only negligible impact.
Rudolf Brázdil, Dominika Faturová, Monika Šulc Michalková, Jan Řehoř, Martin Caletka, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 3663–3682, https://doi.org/10.5194/nhess-24-3663-2024, https://doi.org/10.5194/nhess-24-3663-2024, 2024
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Flash floods belong to natural hazards that can be enhanced in frequency, intensity, and impact during recent climate change. This paper presents a complex analysis of spatiotemporal variability and human impacts (including material damage and fatalities) of flash floods in the Czech Republic for the 2001–2023 period. The analysis generally shows no statistically significant trends in the characteristics analyzed.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
Nat. Hazards Earth Syst. Sci., 24, 3627–3649, https://doi.org/10.5194/nhess-24-3627-2024, https://doi.org/10.5194/nhess-24-3627-2024, 2024
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We look at how compound flooding from the combination of river flooding and storm tides (storm surge and astronomical tide) may be changing over time due to climate change, with a case study of the Mekong River delta. We found that future compound flooding has the potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means managers of deltas such as the Mekong can assess options for improving existing flood defences.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci., 24, 3537–3559, https://doi.org/10.5194/nhess-24-3537-2024, https://doi.org/10.5194/nhess-24-3537-2024, 2024
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Machine learning (ML) algorithms have increasingly received attention for modeling flood events. However, there are concerns about the transferability of these models (their capability in predicting out-of-sample and unseen events). Here, we show that ML models can be transferable for hindcasting maximum river flood depths across extreme events (four hurricanes) in a large coastal watershed (HUC6) when informed by the spatial distribution of pertinent features and underlying physical processes.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci., 24, 3423–3443, https://doi.org/10.5194/nhess-24-3423-2024, https://doi.org/10.5194/nhess-24-3423-2024, 2024
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This paper shows the first public and systematic dataset of flood episodes referring to the entire Pyrenees massif, at municipal scale, named PIRAGUA_flood. Of the 181 flood events (1981–2015) that produced 154 fatalities, 36 were transnational, with the eastern part of the massif most affected. Dominant weather types show a southern component flow, with a talweg on the Iberian Peninsula and a depression in the vicinity. A positive and significant trend was found in Nouvelle-Aquitaine.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
Nat. Hazards Earth Syst. Sci., 24, 3315–3335, https://doi.org/10.5194/nhess-24-3315-2024, https://doi.org/10.5194/nhess-24-3315-2024, 2024
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern United States, in climate data. Analyzing the Susquehanna River basin, this technique identified known events affecting river flow. Comparing four gridded datasets revealed variations in event frequency and severity, driven by different snowmelt and runoff estimates. This highlights the need for accurate climate data in flood management and risk prediction for these compound extremes.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
Nat. Hazards Earth Syst. Sci., 24, 3155–3172, https://doi.org/10.5194/nhess-24-3155-2024, https://doi.org/10.5194/nhess-24-3155-2024, 2024
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Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
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Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
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Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
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Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
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This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
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Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
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Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-119, https://doi.org/10.5194/nhess-2024-119, 2024
Revised manuscript accepted for NHESS
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Floods have caused significant damage in the past. To prepare for such events, we rely on historical data, but face issues due to rare rainfall events, lack of data, and climate change. Counterfactuals, or "what if" scenarios, simulate historical rainfall in different locations to estimate flood levels. Our new study refines this by deriving more plausible local scenarios, using the June 2024 Bavaria flood as a case study. This method could improve future flood preparation.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
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Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
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On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
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To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
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A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
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Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Claudia De Lucia, Michele Amaddii, and Chiara Arrighi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-104, https://doi.org/10.5194/nhess-2024-104, 2024
Revised manuscript accepted for NHESS
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The work describes the flood damages to cultural heritage (CH) occurred in the event of September 2022 in Central Italy. Datasets related to flood impacts to cultural heritage are rare and this work aims at highlighting both tangible and intangible aspects and their correlation with physical characteristics of the flood, i.e., water depth and flow velocity. The results show that current knowledge and datasets are inadequate for risk assessment of CH.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
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INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Andrew Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
EGUsphere, https://doi.org/10.5194/egusphere-2024-1122, https://doi.org/10.5194/egusphere-2024-1122, 2024
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Most of the studies on compound flooding assume events that generate extreme rainfall and coastal water level responses originate from a single population, in reality, they originate from multiple populations each with unique statistical characteristics. This paper presents a flexible statistical framework for assessing the compound flood potential from multiple flood drivers that explicitly accounts for different event types.
Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
Nat. Hazards Earth Syst. Sci., 24, 1607–1634, https://doi.org/10.5194/nhess-24-1607-2024, https://doi.org/10.5194/nhess-24-1607-2024, 2024
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Mountain river confluences are hazardous during localized flooding events. A physical model was used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and (to a lesser degree) the tributary sediment concentration control morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
Zhi Li, Hanqi Li, Zhibo Zhang, Chaomeng Dai, and Simin Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-1088, https://doi.org/10.5194/egusphere-2024-1088, 2024
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This study used advanced computer simulations to investigate how earthquake-induced building collapse affects flooding of the metro stations in Shanghai. Results show that the influence of building collapse on rainfall-driven and river-driven flood are different because these two types of floods have different origination and propagation mechanisms.
Maria Staudinger, Martina Kauzlaric, Alexandre Mas, Guillaume Evin, Benoit Hingray, and Daniel Viviroli
EGUsphere, https://doi.org/10.5194/egusphere-2024-909, https://doi.org/10.5194/egusphere-2024-909, 2024
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Various combinations of antecedent conditions and precipitation result in floods of varying degrees. Antecedent conditions played a crucial role in generating even large. The key predictors and spatial patterns of antecedent conditions leading to flooding at the basin's outlet were distinct. Precipitation and soil moisture from almost all sub-catchments were important for more frequent floods. For rarer events, only the predictors of specific sub-catchments were important.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
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The most recent drought in the UK was declared in summer 2022. We pooled a large sample of plausible winters from seasonal hindcasts and grouped them into four clusters based on their atmospheric circulation configurations. Drought storylines representative of what the drought could have looked like if winter 2022/23 resembled each winter circulation storyline were created to explore counterfactuals of how bad the 2022 drought could have been over winter 2022/23 and beyond.
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
EGUsphere, https://doi.org/10.5194/egusphere-2024-856, https://doi.org/10.5194/egusphere-2024-856, 2024
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We discuss the validation of flood hazard and risk assessments (FHRAs) to ensure they are useful for decision-making. We propose a new validation framework that considers not only technical aspects but also the real-world context in which decisions are made. By applying this framework to flood emergency planning, we demonstrate its practicality.
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024, https://doi.org/10.5194/nhess-24-873-2024, 2024
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The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697, https://doi.org/10.5194/nhess-24-681-2024, https://doi.org/10.5194/nhess-24-681-2024, 2024
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This study presents a new version of a framework which allows us to model water balance components at any site on a local scale. Compared with the first version, the second incorporates new datasets used to set up and force the model. In particular, we highlight the ability of the framework to provide seasonal forecasts. This gives potential stakeholders (farmers, foresters, policymakers, etc.) the possibility to forecast, for example, soil moisture drought and thus apply the necessary measures.
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024, https://doi.org/10.5194/nhess-24-609-2024, 2024
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The present study focuses on an in-depth analysis of floods in the lower section of the Tagus River from a hydrodynamic perspective by means of the Iber+ numerical model and on the development of dam operating strategies to mitigate flood episodes using the exceptional floods of February 1979 as a benchmark. The results corroborate the model's capability to evaluate floods in the study area and confirm the effectiveness of the proposed strategies to reduce flood impact in the lower Tagus valley.
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024, https://doi.org/10.5194/nhess-24-539-2024, 2024
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We present a global flood model built using a new terrain data set and evaluated in the Central Highlands of Vietnam.
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024, https://doi.org/10.5194/nhess-24-501-2024, 2024
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CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment) is a new physically based and spatially distributed rainfall-runoff model. The main novelties consist of reproducing rainfall-induced geo-hydrological hazards such as shallow landslide, debris flow and watershed erosion through a multi-hazard approach. CRHyME was written in Python, works at a high spatial and temporal resolution, and is a tool suitable for quantifying extreme rainfall consequences at the basin scale.
Leanne Archer, Jeffrey Neal, Paul Bates, Emily Vosper, Dereka Carroll, Jeison Sosa, and Daniel Mitchell
Nat. Hazards Earth Syst. Sci., 24, 375–396, https://doi.org/10.5194/nhess-24-375-2024, https://doi.org/10.5194/nhess-24-375-2024, 2024
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We model hurricane-rainfall-driven flooding to assess how the number of people exposed to flooding changes in Puerto Rico under the 1.5 and 2 °C Paris Agreement goals. Our analysis suggests 8 %–10 % of the population is currently exposed to flooding on average every 5 years, increasing by 2 %–15 % and 1 %–20 % at 1.5 and 2 °C. This has implications for adaptation to more extreme flooding in Puerto Rico and demonstrates that 1.5 °C climate change carries a significant increase in risk.
Luis Cea, Manuel Álvarez, and Jerónimo Puertas
Nat. Hazards Earth Syst. Sci., 24, 225–243, https://doi.org/10.5194/nhess-24-225-2024, https://doi.org/10.5194/nhess-24-225-2024, 2024
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Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
Chinh Luu, Giuseppe Forino, Lynda Yorke, Hang Ha, Quynh Duy Bui, Hanh Hong Tran, Dinh Quoc Nguyen, Hieu Cong Duong, and Matthieu Kervyn
EGUsphere, https://doi.org/10.5194/egusphere-2024-57, https://doi.org/10.5194/egusphere-2024-57, 2024
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The study produced a novel and integrated approach to assessing the climate hazards of floods and wildfires. We explored multi-hazards assessment and risk through a machine learning modelling approach. The process includes (1) collecting a database of topography, climate, geology, environment, and building data, (2) developing models for multi-hazards assessment and coding in Google Earth Engine, and (3) producing credible multi-hazard susceptibility and building exposure maps.
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024, https://doi.org/10.5194/nhess-24-199-2024, 2024
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This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
Nejc Bezak, Panos Panagos, Leonidas Liakos, and Matjaž Mikoš
Nat. Hazards Earth Syst. Sci., 23, 3885–3893, https://doi.org/10.5194/nhess-23-3885-2023, https://doi.org/10.5194/nhess-23-3885-2023, 2023
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Extreme flooding occurred in Slovenia in August 2023. This brief communication examines the main causes, mechanisms and effects of this event. The flood disaster of August 2023 can be described as relatively extreme and was probably the most extreme flood event in Slovenia in recent decades. The economic damage was large and could amount to well over 5 % of Slovenia's annual gross domestic product; the event also claimed three lives.
Ana Paez-Trujilo, Jeffer Cañon, Beatriz Hernandez, Gerald Corzo, and Dimitri Solomatine
Nat. Hazards Earth Syst. Sci., 23, 3863–3883, https://doi.org/10.5194/nhess-23-3863-2023, https://doi.org/10.5194/nhess-23-3863-2023, 2023
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This study uses a machine learning technique, the multivariate regression tree approach, to assess the hydroclimatic characteristics that govern agricultural and hydrological drought severity. The results show that the employed technique successfully identified the primary drivers of droughts and their critical thresholds. In addition, it provides relevant information to identify the areas most vulnerable to droughts and design strategies and interventions for drought management.
Bouchra Zellou, Nabil El Moçayd, and El Houcine Bergou
Nat. Hazards Earth Syst. Sci., 23, 3543–3583, https://doi.org/10.5194/nhess-23-3543-2023, https://doi.org/10.5194/nhess-23-3543-2023, 2023
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In this study, we underscore the critical importance of strengthening drought prediction capabilities in the Mediterranean region. We present an in-depth evaluation of current drought forecasting approaches, encompassing statistical, dynamical, and hybrid statistical–dynamical models, and highlight unexplored research opportunities. Additionally, we suggest viable directions to enhance drought prediction and early warning systems within the area.
Sarra Kchouk, Louise Cavalcante, Lieke A. Melsen, David W. Walker, Germano Ribeiro Neto, Rubens Gondim, Wouter J. Smolenaars, and Pieter R. van Oel
EGUsphere, https://doi.org/10.5194/egusphere-2023-2726, https://doi.org/10.5194/egusphere-2023-2726, 2023
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Droughts impact water and people, yet monitoring often overlooks impacts on people. In Northeast Brazil, we assess official data against local experiences, finding data mismatches and blindspots. Mismatches occur due to the data's broad scope missing finer details. Blindspots arise from ignoring diverse community responses and vulnerabilities to droughts. We suggest enhanced monitoring by technical extension officers for both severe and mild droughts.
Francisco Rodrigues do Amaral, Nicolas Gratiot, Thierry Pellarin, and Tran Anh Tu
Nat. Hazards Earth Syst. Sci., 23, 3379–3405, https://doi.org/10.5194/nhess-23-3379-2023, https://doi.org/10.5194/nhess-23-3379-2023, 2023
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We propose an in-depth analysis of typhoon-induced compound flood drivers in the megacity of Ho Chi Minh, Vietnam. We use in situ and satellite measurements throughout the event to form a holistic overview of its impact. No evidence of storm surge was found, and peak precipitation presents a 16 h time lag to peak river discharge, which evacuates only 1.5 % of available water. The astronomical tide controls the river level even during the extreme event, and it is the main urban flood driver.
Cited articles
Andres, N., Steeb, N., Badoux, A., and Hegg, C. (Eds.): Grundlagen Extremhochwasser Aare: Hauptbericht Projekt EXAR, Methodik und Resultate,
WSL Berichte 104, WSL, Birmensdorf, https://www.wsl.ch/de/projekte/exar-1.html (last access: 12 August 2022), 2021.
Arnaud, P. and Lavabre, J.: Using a stochastic model for generating hourly
hyetographs to study extreme rainfalls, Hydrolog. Sci. J., 44, 433–446,
https://doi.org/10.1080/02626669909492238, 1999.
Arnaud, P. and Lavabre, J.: Coupled rainfall model and discharge model for
flood frequency estimation, Water Resour. Res., 38, 1075, https://doi.org/10.1029/2001WR000474, 2002.
Arnaud, P., Cantet, P., and Odry, J.: Uncertainties of flood frequency estimation approaches based on continuous simulation using data resampling,
J. Hydrol., 554, 360–369, https://doi.org/10.1016/j.jhydrol.2017.09.011, 2017.
Asadi, P., Engelke, S., and Davison, A. C.: Optimal regionalization of extreme value distributions for flood estimation, J. Hydrol., 556, 182–193,
https://doi.org/10.1016/j.jhydrol.2017.10.051, 2018.
Aubert, Y., Arnaud, P., Ribstein, P., and Fine, J.-A.: La méthode SHYREG
débit – application sur 1605 bassins versants en France métropolitaine, Hydrolog. Sci. J., 59, 993–1005,
https://doi.org/10.1080/02626667.2014.902061, 2014.
Baer, P. and Schwab, S.: Extremhochwasser an der Aare: Detailbericht B Projekt EXAR, Historische Hochwasser, ARGE GEOTEST-HZP-IUB, Zollikofen, https://www.wsl.ch/de/projekte/exar-1.html (last access: 12 August 2022), 2020.
Baker, V. R.: Paleoflood hydrology: Origin, progress, prospects, Geomorphology, 101, 1–13, https://doi.org/10.1016/j.geomorph.2008.05.016, 2008.
Baker, V. R., Webb, R. H., and House, P. K.: The Scientific and Societal
Value of Paleoflood Hydrology, in: Ancient floods, modern hazards: Principles and applications of paleoflood hydrology, edited by: House, P. K., American Geophysical Union, Washington, DC, 1–19, https://doi.org/10.1029/WS005p0001, 2010.
Barth, N. A., Villarini, G., and White, K.: Accounting for Mixed Populations
in Flood Frequency Analysis: Bulletin 17C Perspective, J. Hydrol. Eng., 24,
04019002, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001762, 2019.
Basso, S., Schirmer, M., and Botter, G.: On the emergence of heavy-tailed
streamflow distributions, Adv. Water Resour., 82, 98–105,
https://doi.org/10.1016/j.advwatres.2015.04.013, 2015.
Basso, S., Schirmer, M., and Botter, G.: A physically based analytical model
of flood frequency curves, Geophys. Res. Lett., 43, 9070–9076,
https://doi.org/10.1002/2016GL069915, 2016.
Basso, S., Botter, G., Merz, R., and Miniussi, A.: PHEV! The PHysically-based Extreme Value distribution of river flows, Environ. Res. Lett., 16, 124065, https://doi.org/10.1088/1748-9326/ac3d59, 2021.
Baumgartner, E., Boldi, M.-O., Kan, C., and Schick, S.: Hochwasserstatistik
am BAFU – Diskussion eines neuen Methodensets, Wasser Energie Luft, 105,
103–110, 2013.
Bayliss, A. C. and Reed, D. W.: The use of historical data in flood frequency estimation, Centre for Ecology and Hydrology, Wallingford, Oxfordshire, UK, 92 pp., https://nora.nerc.ac.uk/id/eprint/8060/1/BaylissRepN008060CR.pdf (last access: 12 August 2022), 2001.
Ben Alaya, M. A., Zwiers, F., and Zhang, X.: Probable Maximum Precipitation:
Its Estimation and Uncertainty Quantification Using Bivariate Extreme Value
Analysis, J. Hydrometeorl., 19, 679–694, https://doi.org/10.1175/JHM-D-17-0110.1, 2018.
Benito, G. and O'Connor, J. E.: Quantitative Paleoflood Hydrology, in:
Treatise on geomorphology, edited by: Shroder, J. F., Academic Press, London, Waltham, MA, 459–474, https://doi.org/10.1016/B978-0-12-374739-6.00250-5, 2013.
Benito, G. and Thorndycraft, V. R.: Palaeoflood hydrology and its role in
applied hydrological sciences, J. Hydrol., 313, 3–15, https://doi.org/10.1016/j.jhydrol.2005.02.002, 2005.
Benito, G., Brázdil, R., Herget, J., and Machado, M. J.: Quantitative
historical hydrology in Europe, Hydrol. Earth Syst. Sci., 19, 3517–3539,
https://doi.org/10.5194/hess-19-3517-2015, 2015.
Bergström, S.: Utveckling och tillämpning av en digital avrinningsmodell, SMHI Notiser och preliminära rapporter, serie
HYDROLOGI 22, SMHI, Norrköping, https://www.smhi.se/polopoly_fs/1.83595!/Menu/general/extGroup/attachmentColHold/mainCol1/file/Notiser_prel_rapporter_hydrologi_22.pdf (last access: 12 August 2022), 1972.
Bergström, S.: The HBV Model – its structure and applications, Reports
Hydrology 4, Swedish Meteorological and Hydrological Institute (SMHI)/Sveriges Meteorologiska och Hydrologiska Institut (SMHI), Norrköping, https://www.smhi.se/polopoly_fs/1.83592!/Menu/general/extGroup/attachmentColHold/mainCol1/file/RH_4.pdf (last access: 12 August 2022), 1992.
Beven, K.: Towards the use of catchment geomorphology in flood frequency
predictions, Earth Surf. Proc. Land., 12, 69–82, https://doi.org/10.1002/esp.3290120109, 1987.
Beven, K. J.: Rainfall-Runoff Modelling: The Primer, 2nd Edn. Wiley, Chichester, ISBN 978-0-470-71459-1, 2011.
Botter, G., Porporato, A., Rodriguez-Iturbe, I., and Rinaldo, A.: Basin-scale soil moisture dynamics and the probabilistic characterization of carrier hydrologic flows: Slow, leaching-prone components of the hydrologic response, Water Resour. Res., 43, W02417, https://doi.org/10.1029/2006WR005043, 2007.
Botter, G., Porporato, A., Rodriguez-Iturbe, I., and Rinaldo, A.: Nonlinear
storage-discharge relations and catchment streamflow regimes, Water Resour.
Res., 45, W10427, https://doi.org/10.1029/2008WR007658, 2009.
Breinl, K. and Di Baldassarre, G.: Space-time disaggregation of precipitation and temperature across different climates and spatial scales,
J. Hydrol.: Reg. Stud., 21, 126–146, https://doi.org/10.1016/j.ejrh.2018.12.002, 2019.
Brunner, M. I., Viviroli, D., Sikorska, A. E., Vannier, O., Favre, A.-C., and Seibert, J.: Flood type specific construction of synthetic design hydrographs, Water Resour. Res., 53, 1390–1406, https://doi.org/10.1002/2016WR019535, 2017.
Buishand, T. A. and Brandsma, T.: Multisite simulation of daily precipitation and temperature in the Rhine Basin by nearest-neighbor resampling, Water Resour. Res., 37, 2761–2776, https://doi.org/10.1029/2001WR000291, 2001.
Bundesamt für Energie: Richtlinie über die Sicherheit der
Stauanlagen: Teil C2: Hochwassersicherheit und Stauseeabsenkung, Richtlinie
über die Sicherheit der Stauanlagen, 32 pp., https://www.bfe.admin.ch/bfe/de/home/versorgung/aufsicht-und-sicherheit/talsperren/richtlinien-und-hilfsmittel.exturl.html/aHR0cHM6Ly9wdWJkYi5iZmUuYW (last access: 12 August 2022), 2018.
Bundesamt für Umwelt: Stationsbericht Hochwasserstatistik Aare –
Untersiggenthal, Stilli, https://www.hydrodaten.admin.ch/lhg/sdi/hq_studien/hq_statistics/2205_hq_Bericht.pdf (last access: 12 August 2022), 2020.
Bundesministerium für Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft and Technische Universität Wien: Leitfaden zum Nachweis
der Hochwassersicherheit von Talsperren, Wien, 107 pp., https://info.bml.gv.at/dam/jcr:4fd43e9f-c845-475e-ba34-62b4b25e9c60/Leitfaden_zum_Nachweis_der_Hochwassersicherheit_von_Talsperren_12_09.pdf (last access: 12 August 2022), 2009.
Burn, D. H.: Catchment similarity for regional flood frequency analysis using seasonality measures, J. Hydrol., 202, 212–230, https://doi.org/10.1016/S0022-1694(97)00068-1, 1997.
Calver, A. and Lamb, R.: Flood frequency estimation using continuous rainfall-runoff modelling, Phys. Chem. Earth, 20, 479–483,
https://doi.org/10.1016/S0079-1946(96)00010-9, 1995.
Castellarin, A., Vogel, R. M., and Matalas, N. C.: Probabilistic behavior of
a regional envelope curve, Water Resour. Res., 41, W06018, https://doi.org/10.1029/2004WR003042, 2005.
Castellarin, A., Kohnová, S., Gaál, L., Fleig, A., Salinas, J. L.,
Toumazis, A., Kjeldsen, T. R., and Macdonald, N.: Review of Applied European
Flood Frequency Analysis Methods, COST Action ES0901, WG2, Wallingford,
Oxfordshire, UK, 130 pp., ISBN 978-1-906698-32-4, 2012.
Chardon, J., Hingray, B., Favre, A.-C., Autin, P., Gailhard, J., Zin, I.,
and Obled, C.: Spatial Similarity and Transferability of Analog Dates for
Precipitation Downscaling over France, J. Climate, 27, 5056–5074,
https://doi.org/10.1175/JCLI-D-13-00464.1, 2014.
Chardon, J., Favre, A.-C., and Hingray, B.: Effects of Spatial Aggregation
on the Accuracy of Statistically Downscaled Precipitation Predictions, J.
Hydrometeorl., 17, 1561–1578, https://doi.org/10.1175/JHM-D-15-0031.1, 2016.
Chardon, J., Hingray, B., and Favre, A.-C.: An adaptive two-stage analog/regression model for probabilistic prediction of small-scale precipitation in France, Hydrol. Earth Syst. Sci., 22, 265–286,
https://doi.org/10.5194/hess-22-265-2018, 2018.
Chardon, J., Evin, G., Favre, A.-C., Hingray, B., Nicolet, G., and Raynaud,
D.: Weather Generators: GWEX and SCAMP, in: Extremhochwasser an der Aare:
Detailbericht A Projekt EXAR, Hydrometeorologische Grundlagen, edited by:
Staudinger, M. and Viviroli, D., University of Zurich, Zurich, 7–22,
https://doi.org/10.5167/uzh-201388, 2020.
Chebana, F., Dabo-Niang, S., and Ouarda, T. B. M. J.: Exploratory functional
flood frequency analysis and outlier detection, Water Resour. Res., 48, W04514, https://doi.org/10.1029/2011WR011040, 2012.
Dang, V. and Whealton, C.: Extremhochwasser an der Aare: Detailbericht G Projekt EXAR, Ereignisbaumanalyse und Gefährdungskurven, Paul Scherrer
Institut, Villigen, https://www.wsl.ch/de/projekte/exar-1.html (last access: 12 August 2022), 2020.
Deutsche Vereinigung für Wasserwirtschaft, Abwasser und Abfall: Ermittlung von Hochwasserwahrscheinlichkeiten: DWA-Regelwerk, Merkblatt
DWA-M 552, Hennef, 90 pp., ISBN 978-3-942964-25-8, 2012.
Diezig, R. and Weingartner, R.: Hochwasserprozesstypen – Schlüssel zur
Hochwasserabschätzung, Wasser Abfall, 9, 18–26, https://doi.org/10.1007/BF03247473, 2007.
Eidgenössisches Amt für Strassen- und Flussbau: Die grössten bis
zum Jahre 1969 beobachteten Abflussmengen von schweizerischen Gewässern:
Beitrag zum internationalen hydrologischen Dezennium 1965–1974, EDMZ, Bern,
http://permalink.snl.ch/bib/sz000413758 (last access: 29 August 2022), 1974.
England Jr., J. F., Cohn, T. A., Faber, B. A., Stedinger, J. R., Thomas Jr., W. O., Veilleux, A. G., Kiang, J. E., and Mason Jr., R. R.: Guidelines for Determining Flood Flow Frequency: Bulletin 17C, Version 1.1, May 2019,
US Geological Survey Techniques and Methods, Book 4, chap. 5b, US Geoglogical Survey, 168 pp., https://doi.org/10.3133/tm4B5, 2019.
Environment Agency: Flood Estimation Guidelines, Technical guidance 197_08,
129 pp., https://www.jbaconsulting.com/wp-content/uploads/2020/10/Flood-Estimation-Guidelines-2020-197_08.pdf (last access: 12 August 2022), 2020.
Evin, G., Blanchet, J., Paquet, E., Garavaglia, F., and Penot, D.: A
regional model for extreme rainfall based on weather patterns subsampling,
J. Hydrol., 541, 1185–1198, https://doi.org/10.1016/j.jhydrol.2016.08.024, 2016.
Evin, G., Favre, A.-C., and Hingray, B.: Stochastic generation of multi-site
daily precipitation focusing on extreme events, Hydrol. Earth Syst. Sci., 22, 655–672, https://doi.org/10.5194/hess-22-655-2018, 2018.
Evin, G., Favre, A.-C., and Hingray, B.: Stochastic generators of multi-site
daily temperature: comparison of performances in various applications, Theor. Appl. Climatol., 135, 811–824, https://doi.org/10.1007/s00704-018-2404-x, 2019.
Fallot, J.-M., Hertig, J.-A., Receanu, R. G., and Zeimetz, F.:
Détermination des précipitations et des crues extrêmes en suisse
à l'aide de la méthode PMP-PMF, Bulletin de la Société
Géographique de Liège, 68, 77–96, https://doi.org/10.25518/0770-7576.4556, 2017.
Falter, D., Schröter, K., Dung, N. V., Vorogushyn, S., Kreibich, H.,
Hundecha, Y., Apel, H., and Merz, B.: Spatially coherent flood risk assessment based on long-term continuous simulation with a coupled model chain, J. Hydrol., 524, 182–193, https://doi.org/10.1016/j.jhydrol.2015.02.021, 2015.
Farinotti, D., Usselmann, S., Huss, M., Bauder, A., and Funk, M.: Runoff
evolution in the Swiss Alps: projections for selected high-alpine catchments based on ENSEMBLES scenarios, Hydrol. Process., 26, 1909–1924,
https://doi.org/10.1002/hyp.8276, 2012.
Federal Office for the Environment: Hydrological time series,
https://www.hydrodaten.admin.ch, last access: 30 June 2016.
Federal Office for the Environment: The 5 flood danger levels,
https://www.hydrodaten.admin.ch/en/the-5-flood-danger-levels.html, last
access: 22 June 2022.
Felder, G. and Weingartner, R.: An approach for the determination of
precipitation input for worst-case flood modelling, Hydrolog. Sci. J., 61,
2600–2609, https://doi.org/10.1080/02626667.2016.1151980, 2016.
Felder, G. and Weingartner, R.: Assessment of deterministic PMF modelling
approaches, Hydrolog. Sci. J., 62, 1591–1602, https://doi.org/10.1080/02626667.2017.1319065, 2017.
Felder, G., Paquet, E., Penot, D., Zischg, A., and Weingartner, R.: Consistency of Extreme Flood Estimation Approaches, J. Hydrol. Eng., 24,
4019018, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001797, 2019.
Fernandez, C. and Steel, M. F. J.: On Bayesian Modeling of Fat Tails and
Skewness, J. Am. Stat. Assoc., 93, 359–371, https://doi.org/10.2307/2669632, 1998.
Fischer, S.: A seasonal mixed-POT model to estimate high flood quantiles
from different event types and seasons, J. Appl. Stat., 45, 2831–2847, https://doi.org/10.1080/02664763.2018.1441385, 2018.
García Hernández, J., Foehn, A., Fluixá-Sanmartín, J., Roquier, B., Brauchli, T., Paredes Arquiola, J., and De Cesare, G. RS MINERVE –Technical manual, v2.25, CREALP, Sion, 156 pp., https://crealp.ch/wp-content/uploads/2021/09/rsminerve_technical_manual_v2.25.pdf (last access: 12 August 2022), 2020.
Girons Lopez, M., Wennerström, H., Nordén, L.-Å., and Seibert, J.: Location and Density of Rain Gauges for the Estimation of Spatial
Varying Precipitation, Geograf. Ann. A, 97, 167–179, https://doi.org/10.1111/geoa.12094, 2015.
Grimaldi, S., Petroselli, A., Arcangeletti, E., and Nardi, F.: Flood mapping
in ungauged basins using fully continuous hydrologic–hydraulic modeling, J.
Hydrol., 487, 39–47, https://doi.org/10.1016/j.jhydrol.2013.02.023, 2013.
Gringorten, I. I.: A plotting rule for extreme probability paper, Global
Biogeochem. Cy., 68, 813–814, https://doi.org/10.1029/JZ068i003p00813, 1963.
Guillot, P. and Duband, D.: La méthode du gradex pour le calcul de la
probabilité des crues à partir des pluies, in: Floods and their
Computation: Proceedings of the Leningrad Symposium, August 1967, Vol. I,
edited by: International Association of Hydrological Sciences and World
Meteorological Organization, Gentbrugge, Paris, 560–569, https://unesdoc.unesco.org/ark:/48223/pf0000014318 (last access: 12 August 2022), 1969.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martínez, G. F.: Decomposition of the mean squared error and NSE performance criteria:
Implications for improving hydrological modelling, J. Hydrol., 377, 80–91,
https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009.
Guse, B., Merz, B., Wietzke, L., Ullrich, S., Viglione, A., and Vorogushyn,
S.: The role of flood wave superposition in the severity of large floods,
Hydrol. Earth Syst. Sci., 24, 1633–1648, https://doi.org/10.5194/hess-24-1633-2020, 2020.
Gutknecht, D., Blöschl, G., Reszler, C., and Heindl, H.: Ein “Mehr-Standbeine”-Ansatz zur Ermittlung von Bemessungshochwässern
kleiner Auftretenswahrscheinlichkeit, Österr Wasser- und Abfallw., 58,
44–50, 2006.
Hall, J., Arheimer, B., Borga, M., Brázdil, R., Claps, P., Kiss, A.,
Kjeldsen, T. R., Kriaučiūnienė, J., Kundzewicz, Z. W., Lang, M.,
Llasat, M. C., Macdonald, N., McIntyre, N., Mediero, L., Merz, B., Merz, R.,
Molnar, P., Montanari, A., Neuhold, C., Parajka, J., Perdigão, R. A.,
Plavcová, L., Rogger, M., Salinas, J. L., Sauquet, E., Schär, C.,
Szolgay, J., Viglione, A., and Blöschl, G.: Understanding flood regime
changes in Europe: a state-of-the-art assessment, Hydrol. Earth Syst. Sci.,
18, 2735–2772, https://doi.org/10.5194/hess-18-2735-2014, 2014.
Hegnauer, M., Beersma, J. J., van den Boogaard, H. F. P., Buishand, T. A.,
and Passchier, R. H.: Generator of Rainfall and Discharge Extremes (GRADE)
for the Rhine and Meuse basins: Final report of GRADE 2.0, Deltares and
KNMI, 84 pp., https://publications.deltares.nl/1209424_004_0018.pdf (last access: 12 August 2022), 2014.
Herschy, R. W.: The world's maximum observed floods, Flow Meas. Instrum., 13, 231–235, 2002.
Horton, P., Schaefli, B., and Kauzlaric, M.: Why do we have so many different hydrological models? A review based on the case of Switzerland, WIREs Water, 9, e1574, https://doi.org/10.1002/wat2.1574, 2022.
Hosking, J. R. M. and Wallis, J. R.: Some useful statistics in regional frequency analysis, Water Resour. Res., 29, 271–281, 1993.
Hosking, J. R. M. and Wallis, J. R.: Regional frequency analysis: An approach based on L-moments, Cambridge University Press, Cambridge, 224 pp.,
https://doi.org/10.1017/CBO9780511529443, 1997.
Hügli, A.: Aarewasser: 500 Jahre Hochwasserschutz zwischen Thun und Bern, ott Verlag, Bern, 175 pp., ISBN 978-3-7225-0083-6, 2007.
International Commission on Large Dams: Flood Evaluation and Dam Safety, in:
1st Edn., Bulletin (International Commission on Large Dams), 170, CRC Press, Boca Raton, FL, 360 pp., ISBN 9781138492134, 2018.
Isotta, F. A., Frei, C., Weilguni, V., Perčec Tadić, M., Lassègues, P., Rudolf, B., Pavan, V., Cacciamani, C., Antolini, G.,
Ratto, S. M., Munari, M., Micheletti, S., Bonati, V., Lussana, C., Ronchi,
C., Panettieri, E., Marigo, G., and Vertačnik, G.: The climate of daily
precipitation in the Alps: development and analysis of a high-resolution
grid dataset from pan-Alpine rain-gauge data, Int. J. Climatol., 34, 1657–1675, https://doi.org/10.1002/joc.3794, 2014.
Kauzlaric, M., Keller, L., Pfäffli, M., Senoner, A., Staudinger, M., and
Viviroli, D.: Sensitivity and plausibility of hydrological simulations, in:
Extremhochwasser an der Aare: Detailbericht A Projekt EXAR,
Hydrometeorologische Grundlagen, edited by: Staudinger, M. and Viviroli, D.,
Univertisy of Zurich, Zurich, 22–95, https://doi.org/10.5167/uzh-201388, 2020.
Kauzlaric, M., Nicolet, G., and Viviroli, D.: Entwicklung hydrometeorologischer Grundlagen, in: Grundlagen Extremhochwasser Aare:
Hauptbericht Projekt EXAR, Methodik und Resultate, edited by: Andres, N.,
Steeb, N., Badoux, A., and Hegg, C., University of Zurich, Birmensdorf, 29–37, https://doi.org/10.5167/uzh-203528, 2021.
Kavetski, D., Kuczera, G., and Franks, S. W.: Bayesian analysis of input
uncertainty in hydrological modeling: 2. Application, Water Resour. Res.,
42, W03408, 2006.
Kienzler, P. M. and Scherrer, S.: Verzeichnis grosser Hochwasserabflüsse
in Schweizerischen Einzugsgebieten: Auswertung und graphische Aufbereitung,
Reinach, Bericht 17/229, https://www.bafu.admin.ch/dam/bafu/de/dokumente/hydrologie/geodaten/Scherrer-AG-def-Bericht_ASF_update_graphischeDarstellung_2018-03-09_original.pdf.download.pdf/Scherrer-AG-def-Bericht_ASF_update_graphischeDarstellung_2018-03-09_original.pdf (last access: 12 August 2022), 2018.
Kienzler, P. M., Andres, N., Näf-Huber, D., and Zappa, M.: Herleitung
extremer Niederschläge und Hochwasser im Einzugsgebiet des Sihlsees
für einen verbesserten Hochwasserschutz der Stadt Zürich, Hydrologie
und Wasserbewirtschaftung, 59, 48–58, 2015.
Kirchner, J. W.: Getting the right answers for the right reasons: Linking
measurements, analyses, and models to advance the science of hydrology,
Water Resour. Res., 42, W03S04, https://doi.org/10.1029/2005WR004362, 2006.
Klemeš, V.: Dilettantism in hydrology: Transition or destiny?, Water
Resour. Res., 22, 177S–188S, https://doi.org/10.1029/WR022i09Sp0177S, 1986.
Laio, F., Porporato, A., Ridolfi, L., and Rodriguez-Iturbe, I.: Plants in
water-controlled ecosystems: active role in hydrologic processes and
response to water stress, Adv. Water Resour., 24, 707–723,
https://doi.org/10.1016/S0309-1708(01)00005-7, 2001.
Lamb, R., Faulkner, D., Wass, P., and Cameron, D.: Have applications of
continuous rainfall-runoff simulation realised the vision for process-based
flood frequency analysis?, Hydrol. Process., 30, 2463–2481,
https://doi.org/10.1002/hyp.10882, 2016.
Leander, R. and Buishand, T. A.: A daily weather generator based on a two-stage resampling algorithm, J. Hydrol., 374, 185–195,
https://doi.org/10.1016/j.jhydrol.2009.06.010, 2009.
Loucks, D. P. and van Beek, E. (Eds.): Water Resource Systems Planning and
Management, Springer International Publishing, Cham, ISBN 978-3-319-44232-7, 2017.
Maniak, U.: Hydrologie und Wasserwirtschaft: Eine Einführung für
Ingenieure, 5. bearbeitete und erweiterte Ausgabe, Springer, Berlin,
Heidelberg, New York, ISBN 978-3-540-20091-8, 2005.
Marchi, L., Borga, M., Preciso, E., and Gaume, E.: Characterisation of
selected extreme flash floods in Europe and implications for flood risk
management, J. Hydrol., 394, 118–133, https://doi.org/10.1016/j.jhydrol.2010.07.017, 2010.
Ménégoz, M., Valla, E., Jourdain, N. C., Blanchet, J., Beaumet, J.,
Wilhelm, B., Gallée, H., Fettweis, X., Morin, S., and Anquetin, S.:
Contrasting seasonal changes in total and intense precipitation in the
European Alps from 1903 to 2010, Hydrol. Earth Syst. Sci., 24, 5355–5377,
https://doi.org/10.5194/hess-24-5355-2020, 2020.
Merz, R. and Blöschl, G.: A process typology of regional floods, Water
Resour. Res., 39, 1340, https://doi.org/10.1029/2002WR001952, 2003.
Merz, R. and Blöschl, G.: Flood frequency hydrology: 2. Combining data
evidence, Water Resour. Res., 44, W08433, https://doi.org/10.1029/2007WR006745, 2008.
MeteoSwiss: Meteorological time series, https://gate.meteoswiss.ch/idaweb, last access: 30 June 2016.
Mezghani, A. and Hingray, B.: A combined downscaling-disaggregation weather
generator for stochastic generation of multisite hourly weather variables
over complex terrain: Development and multi-scale validation for the Upper
Rhone River basin, J. Hydrol., 377, 245–260, https://doi.org/10.1016/j.jhydrol.2009.08.033, 2009.
Micovic, Z., Schaefer, M. G., and Taylor, G. H.: Uncertainty analysis for
Probable Maximum Precipitation estimates, J. Hydrol., 521, 360–373,
https://doi.org/10.1016/j.jhydrol.2014.12.033, 2015.
Mulvany, T.: On the use of self-registering rain and flood gages in making
observations of the relation of rainfall and flood discharges in a given
catchment, Proc. Inst. Civ. Eng. Ireland, 4, 18–31, 1851.
Naghettini, M., Potter, K. W., and Illangasekare, T.: Estimating the upper
tail of flood-peak frequency distributions using hydrometeorological
information, Water Resour. Res., 32, 1729–1740, https://doi.org/10.1029/96WR00200, 1996.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models: Part I – a discussion of principles, J. Hydrol., 10, 282–290,
https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
Naveau, P., Huser, R., Ribereau, P., and Hannart, A.: Modeling jointly low,
moderate, and heavy rainfall intensities without a threshold selection, Water Resour. Res., 52, 2753–2769, https://doi.org/10.1002/2015WR018552, 2016.
Neppel, L., Renard, B., Lang, M., Ayral, P.-A., Coeur, D., Gaume, E., Jacob,
N., Payrastre, O., Pobanz, K., and Vinet, F.: Flood frequency analysis using
historical data: accounting for random and systematic errors, Hydrolog. Sci.
J., 55, 192–208, https://doi.org/10.1080/02626660903546092, 2010.
O'Connor, J. E., Atwater, B. F., Cohn, T. A., Cronin, T. M., Keith, M. K.,
Smith, C. G., and Mason, R. R.: Assessing Inundation Hazards to Nuclear
Powerplant Sites Using Geologically Extended Histories of Riverine Floods,
Tsunamis, and Storm Surges, Prepared for the Nuclear Regulatory Commission,
Scientific Investigations Report 2014-5207, USGS, Reston, VA, USA, 76 pp., https://doi.org/10.3133/sir20145207, 2014.
Okoli, K., Mazzoleni, M., Breinl, K., and Di Baldassarre, G.: A systematic
comparison of statistical and hydrological methods for design flood estimation, Hydrol. Res., 50, 1665–1678, https://doi.org/10.2166/nh.2019.188, 2019.
Papastathopoulos, I. and Tawn, J. A.: Extended generalised Pareto models for
tail estimation, J. Stat. Plan. Infer., 143, 131–143, https://doi.org/10.1016/j.jspi.2012.07.001, 2013.
Paquet, E., Garavaglia, F., Garçon, R., and Gailhard, J.: The SCHADEX
method: A semi-continuous rainfall-runoff simulation for extreme flood
estimation, J. Hydrol., 495, 23–37, https://doi.org/10.1016/j.jhydrol.2013.04.045, 2013.
Pathiraja, S., Westra, S., and Sharma, A.: Why continuous simulation? The
role of antecedent moisture in design flood estimation, Water Resour. Res.,
48, W06534, https://doi.org/10.1029/2011WR010997, 2012.
Pfäffli, M., Baer, P., Sutter, A., Irniger, A., and Hunziker, R.:
Extremhochwasser an der Aare: Detailbericht E Projekt EXAR, Hydraulische
Modellierungen, ARGE GEOTEST-HZP-IUB, Zollikofen, Aarau, Bern, https://www.wsl.ch/de/projekte/exar-1.html (last access: 12 August 2022), 2020.
Poli, P., Hersbach, H., Dee, D. P., Berrisford, P., Simmons, A. J., Vitart,
F., Laloyaux, P., Tan, D. G. H., Peubey, C., Thépaut, J.-N., Trémolet, Y., Hólm, E. V., Bonavita, M., Isaksen, L., and Fisher,
M.: ERA-20C: An Atmospheric Reanalysis of the Twentieth Century, J. Climate,
29, 4083–4097, https://doi.org/10.1175/JCLI-D-15-0556.1, 2016.
Pool, S., Vis, M., and Seibert, J.: Evaluating model performance: towards a
non-parametric variant of the Kling-Gupta efficiency, Hydrolog. Sci. J., 63,
1941–1953, https://doi.org/10.1080/02626667.2018.1552002, 2018.
Porporato, A., Daly, E., and Rodriguez-Iturbe, I.: Soil water balance and
ecosystem response to climate change, Am. Nat. 164, 625–632, 2004.
Primault, B.: Du calcul de l'évapotranspiration, Arch. Met. Geoph.
Biokl. B., 12, 124–150, https://doi.org/10.1007/BF02317957, 1962.
Primault, B.: Extension de la validité de la formule suisse de calcul de
l'évapotranspiration, Arbeitsberichte der SMA, SMA, Vol. 103, https://www.meteoschweiz.admin.ch/content/dam/meteoswiss/fr/Ungebundene-Seiten/Publikationen/Fachberichte/doc/arbeitsbericht103.pdf (last access: 12 August 2022), 1981.
Raynaud, D., Hingray, B., Zin, I., Anquetin, S., Debionne, S., and Vautard,
R.: Atmospheric analogues for physically consistent scenarios of surface
weather in Europe and Maghreb, Int. J. Climatol., 37, 2160–2176,
https://doi.org/10.1002/joc.4844, 2017.
Raynaud, D., Hingray, B., Evin, G., Favre, A.-C., and Chardon, J.:
Assessment of meteorological extremes using a synoptic weather generator and
a downscaling model based on analogues, Hydrol. Earth Syst. Sci., 24,
4339–4352, https://doi.org/10.5194/hess-24-4339-2020, 2020.
Redmond, K. T., Enzel, Y., House, P. K., and Biondi, F.: Climate Variability
and Flood Frequency at Decadal to Millennial Time Scales, in: Ancient
floods, modern hazards: Principles and applications of paleoflood hydrology,
edited by: House, P. K., American Geophysical Union, Washington, DC, 21–45,
https://doi.org/10.1029/WS005p0021, 2010.
Rogger, M., Kohl, B., Pirkl, H., Viglione, A., Komma, J., Kirnbauer, R., Merz, R., and Blöschl, G.: Runoff models and flood frequency statistics
for design flood estimation in Austria – Do they tell a consistent story?,
J. Hydrol., 456-457, 30–43, https://doi.org/10.1016/j.jhydrol.2012.05.068, 2012.
Ruelland, D.: Should altitudinal gradients of temperature and precipitation
inputs be inferred from key parameters in snow-hydrological models?, Hydrol.
Earth Syst. Sci., 24, 2609–2632, https://doi.org/10.5194/hess-24-2609-2020, 2020.
Salas, J. D., Gavilán, G., Salas, F. R., Julien, P. R., and Abdullah, J.: Uncertainty of the PMP and PMF, in: Handbook of Engineering Hydrology, edited by: Eslamian, S., CRC Press, 575–603, https://doi.org/10.1201/b16683, 2014.
Salinas, J. L., Kiss, A., Viglione, A., Viertl, R., and Blöschl, G.: A
fuzzy Bayesian approach to flood frequency estimation with imprecise historical information, Water Resour. Res., 52, 6730–6750,
https://doi.org/10.1002/2016WR019177, 2016.
Schaefli, B., Talamba, D. B., and Musy, A.: Quantifying hydrological modeling errors through a mixture of normal distributions, J. Hydrol., 332, 303–315, 2007.
Schmocker-Fackel, P. and Naef, F.: Changes in flood frequencies in Switzerland since 1500, Hydrol. Earth Syst. Sci., 14, 1581–1594,
https://doi.org/10.5194/hess-14-1581-2010, 2010a.
Schmocker-Fackel, P. and Naef, F.: More frequent flooding? Changes in flood
frequency in Switzerland since 1850, J. Hydrol., 381, 1–8,
https://doi.org/10.1016/j.jhydrol.2009.09.022, 2010b.
Schnitter, N.: Die Geschichte des Wasserbaus in der Schweiz, Olynthus,
Oberbözberg, 242 pp., ISBN 9783907175156, 1992.
Seibert, J.: Estimation of parameter uncertainty in the HBV model, Nord. Hydrol., 28, 247–262, 1997.
Seibert, J.: Multi-criteria calibration of a conceptual runoff model using a
genetic algorithm, Hydrol. Earth Syst. Sci., 4, 215–224, 2000.
Seibert, J.: Multi-criteria calibration of a conceptual runoff model using a genetic algorithm, Hydrol. Earth Syst. Sci., 4, 215–224, https://doi.org/10.5194/hess-4-215-2000, 2000.
Seibert, J. and Bergström, S.: A retrospective on hydrological catchment
modelling based on half a century with the HBV model, Hydrol. Earth Syst.
Sci., 26, 1371–1388, https://doi.org/10.5194/hess-26-1371-2022, 2022.
Seibert, J. and Vis, M. J. P.: Teaching hydrological modeling with a
user-friendly catchment-runoff-model software package, Hydrol. Earth Syst.
Sci., 16, 3315–3325, https://doi.org/10.5194/hess-16-3315-2012, 2012.
Seibert, J., Vis, M. J. P., Kohn, I., Weiler, M., and Stahl, K.: Technical
note: Representing glacier geometry changes in a semi-distributed
hydrological model, Hydrol. Earth Syst. Sci., 22, 2211–2224,
https://doi.org/10.5194/hess-22-2211-2018, 2018.
Sikorska, A. E. and Renard, B.: Calibrating a hydrological model in stage
space to account for rating curve uncertainties: General framework and key
challenges, Adv. Water Resour., 105, 51–66, https://doi.org/10.1016/j.advwatres.2017.04.011, 2017.
Sikorska, A. E., Viviroli, D., and Seibert, J.: Flood-type classification in
mountainous catchments using crisp and fuzzy decision trees, Water Resour.
Res., 51, 7959–7976, https://doi.org/10.1002/2015WR017326, 2015.
Sikorska-Senoner, A. E.: Clustering model responses in the frequency space
for improved simulation-based flood risk studies: The role of a cluster
number, J. Flood Risk Manage., 15, e12772, https://doi.org/10.1111/jfr3.12772, 2022.
Sikorska-Senoner, A. E. and Seibert, J.: Flood-type trend analysis for alpine catchments, Hydrolog. Sci. J., 1–19, https://doi.org/10.1080/02626667.2020.1749761, 2020.
Sikorska-Senoner, A. E., Schaefli, B., and Seibert, J.: Downsizing parameter
ensembles for simulations of rare floods, Nat. Hazards Earth Syst. Sci., 20,
3521–3549, https://doi.org/10.5194/nhess-20-3521-2020, 2020.
Staudinger, M. and Viviroli, D. (Eds.): Extremhochwasser an der Aare:
Detailbericht A Projekt EXAR. Hydrometeorologische Grundlagen, University of Zurich, Zurich, https://doi.org/10.5167/uzh-201388, 2020.
Staudinger, M., Furrer, R., and Viviroli, D.: Hochwasserereignisse aus
kontinuierlicher Langzeitsimulation zur Überprüfung der Sicherheit der Stauanlagen: Projektschlussbericht im Auftrag des Bundesamts für
Energie (BFE), Geographisches Institut der Universität Zürich, Zurich, https://pubdb.bfe.admin.ch/de/publication/download/10451 (last access: 12 August 2022), 2021.
swisstopo: DHM25: Das digitale Höhenmodell der Schweiz, Wabern, https://www.swisstopo.admin.ch/content/swisstopo-internet/de/geodata/height/dhm25/_jcr_content/contentPar/tabs_copy/items/dokumente/tabPar/downloadlist/downloadItems/868_1464696772548.download/dhm25infode.pdf (last access: 12 August 2022), 2005.
Ternynck, C., Ben Alaya, M. A., Chebana, F., Dabo-Niang, S., and Ouarda, T.
B. M. J.: Streamflow Hydrograph Classification Using Functional Data Analysis, J. Hydrometeorl., 17, 327–344, https://doi.org/10.1175/JHM-D-14-0200.1, 2016.
Thiessen, A. H.: Precipitation Averages for Large Areas, Mon. Weather Rev., 39, 1082–1084, 1911.
Vetsch, D., Siviglia, A., Caponi, F., Ehrbar, D., Gerke, E., Kammerer, S.,
Koch, A., Peter, S., Vanzo, D., Vonwiller, L., Facchini, M., Gerber, M.,
Volz, C., Farshi, D., Mueller, R., Rousselot, P., Veprek, R., and Faeh, R.:
System Manuals of BASEMENT, Version 2.8, Laboratory of Hydraulics,
Glaciology and Hydrology (VAW), ETH Zurich, Zurich, http://people.ee.ethz.ch/~basement/baseweb/download/documentation/previous/v2-8/BMdoc_Tutorials_v2-8.pdf (last access: 12 August 2022), 2018.
Vischer, D. L.: Das höchstmögliche Hochwasser und der empirische
Grenzabfluss, Schweizer Ingenieur und Architekt, 98, 981–984,
https://doi.org/10.5169/seals-74218, 1980.
Vischer, D. L.: Die Geschichte des Hochwasserschutzes in der Schweiz: Von
den Anfängen bis ins 19. Jahrhundert, Berichte des BWG, Serie Wasser, 5,
BWG – Bundesamt für Wasser und Geologie, Biel, 208 pp., https://www.bafu.admin.ch/dam/bafu/de/dokumente/wasser/uw-umwelt-wissen/die_geschichte_deshochwasserschutzesinderschweizvondenanfaengenb.pdf.download.pdf/die_geschichte_deshochwasserschutzesinderschweizvondenanfaengenb.pdf (last access: 12 August 2022), 2003.
Viviroli, D. and Whealton, C.: Correction of inconsistency in AP2
hydrological model runs, in: Extremhochwasser an der Aare: Detailbericht A
Projekt EXAR, Hydrometeorologische Grundlagen, edited by: Staudinger, M. and
Viviroli, D., University of Zurich, Zurich, 96–104, https://doi.org/10.5167/uzh-201388, 2020.
Viviroli, D., Zappa, M., Gurtz, J., and Weingartner, R.: An introduction to
the hydrological modelling system PREVAH and its pre- and post-processing-tools, Environ. Model. Softw., 24, 1209–1222,
https://doi.org/10.1016/j.envsoft.2009.04.001, 2009a.
Viviroli, D., Mittelbach, H., Gurtz, J., and Weingartner, R.: Continuous
simulation for flood estimation in ungauged mesoscale catchments of Switzerland – Part II: Parameter regionalisation and flood estimation
results, J. Hydrol., 377, 208–225, https://doi.org/10.1016/j.jhydrol.2009.08.022, 2009b.
Vrugt, J. A., Gupta, H. V., Bouten, W., and Sorooshian, S.: A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty
assessment of hydrologic model parameters, Water Resour. Res., 39, 1201,
https://doi.org/10.1029/2002WR001642, 2003.
Weingartner, R. and Aschwanden, H.: Discharge Regime – the Basis for the
Estimation of Average Flows, Hydrological Atlas of Switzerland, Plate 5.2,
FOEN – Federal Office for the Environment, Bern, ISBN 3952026204, 1992.
Westerberg, I. K.: Discharge uncertainty (rating curve), in: Extremhochwasser an der Aare: Detailbericht A Projekt EXAR. Hydrometeorologische Grundlagen, edited by: Staudinger, M. and Viviroli, D., University of Zurich, Zurich,
105–118, https://doi.org/10.5167/uzh-201388, 2020.
Westerberg, I. K., Sikorska-Senoner, A. E., Viviroli, D., Vis, M., and
Seibert, J.: Hydrological model calibration with uncertain discharge data,
Hydrolog. Sci. J., https://doi.org/10.1080/02626667.2020.1735638, in press, 2020.
Wetter, O.: Rekonstruktion vorinstrumenteller Scheitelwasserstände der
Aare – einschliesslich ihrer wichtigsten Zubringer Saane, Emme, Reuss und
Limmat inklusive einer Meteoumfeldanalyse für die extremsten Hochwasser:
Non-public pilot study for the EXAR project commissioned by the Swiss Federal Office for the Environment (FOEN), Bern, 148 pp., https://www.wetter-risk.ch/referenzen/auftragsstudien/ (last access: 29 August 2022), 2015.
Wetter, O.: The potential of historical hydrology in Switzerland, Hydrol.
Earth Syst. Sci., 21, 5781–5803, https://doi.org/10.5194/hess-21-5781-2017, 2017.
Wilks, D. S.: Multisite generalization of a daily stochastic precipitation
generation model, J. Hydrol., 210, 178–191, https://doi.org/10.1016/S0022-1694(98)00186-3, 1998.
Wilks, D. S. and Wilby, R. L.: The weather generation game: a review of
stochastic weather models, Prog. Phys. Geogr., 23, 329–357,
https://doi.org/10.1177/030913339902300302, 1999.
Winter, B., Schneeberger, K., Dung, N. V., Huttenlau, M., Achleitner, S.,
Stötter, J., Merz, B., and Vorogushyn, S.: A continuous modelling
approach for design flood estimation on sub-daily time scale, Hydrolog. Sci.
J., 64, 539–554, https://doi.org/10.1080/02626667.2019.1593419, 2019.
World Meteorological Organization: Guide to Hydrological Practice: Data
acquisition and processing, analysis, forecasting and other applications,
Fifth edition, WMO Publ., 168, WMO, Geneva, 1994.
World Meteorological Organization: Manual on Estimation of Probable Maximum
Precipitation (PMP), WMO Publ. 1045, WMO, 291 pp., ISBN 978-92-63-11045-9, 2009.
Zhang, Y. and Singh, V. P.: Quantifying Uncertainty of Probable Maximum Flood, J. Hydrol. Eng., 26, 04021041, https://doi.org/10.1061/(ASCE)HE.1943-5584.0002142, 2021.
Zischg, A. P., Felder, G., Weingartner, R., Quinn, N., Coxon, G., Neal, J.,
Freer, J., and Bates, P.: Effects of variability in probable maximum
precipitation patterns on flood losses, Hydrol. Earth Syst. Sci., 22,
2759–2773, https://doi.org/10.5194/hess-22-2759-2018, 2018.
Zorzetto, E., Botter, G., and Marani, M.: On the emergence of rainfall
extremes from ordinary events, Geophys. Res. Lett., 43, 8076–8082,
https://doi.org/10.1002/2016GL069445, 2016.
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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