Articles | Volume 20, issue 12
https://doi.org/10.5194/nhess-20-3521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-3521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
17 Dec 2020
Research article | Highlight paper |
| 17 Dec 2020
Downsizing parameter ensembles for simulations of rare floods
Anna E. Sikorska-Senoner
CORRESPONDING AUTHOR
University of Zurich, Department of Geography, Zurich, Switzerland
Bettina Schaefli
University of Lausanne, Institute of Earth Surface Dynamics, Lausanne, Switzerland
University of Bern, Institute of Geography, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Jan Seibert
University of Zurich, Department of Geography, Zurich, Switzerland
Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, Uppsala, Sweden
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Alessio Gentile, Davide Canone, Natalie Ceperley, Davide Gisolo, Maurizio Previati, Giulia Zuecco, Bettina Schaefli, and Stefano Ferraris
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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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Elvira Mächler, Anham Salyani, Jean-Claude Walser, Annegret Larsen, Bettina Schaefli, Florian Altermatt, and Natalie Ceperley
Hydrol. Earth Syst. Sci., 25, 735–753, https://doi.org/10.5194/hess-25-735-2021, https://doi.org/10.5194/hess-25-735-2021, 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.
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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Moctar Dembélé, Bettina Schaefli, Nick van de Giesen, and Grégoire Mariéthoz
Hydrol. Earth Syst. Sci., 24, 5379–5406, https://doi.org/10.5194/hess-24-5379-2020, https://doi.org/10.5194/hess-24-5379-2020, 2020
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This study evaluates 102 combinations of rainfall and temperature datasets from satellite and reanalysis sources as input to a fully distributed hydrological model. The model is recalibrated for each input dataset, and the outputs are evaluated with streamflow, evaporation, soil moisture and terrestrial water storage data. Results show that no single rainfall or temperature dataset consistently ranks first in reproducing the spatio-temporal variability of all hydrological processes.
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.
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.
Harsh Beria, Joshua R. Larsen, Anthony Michelon, Natalie C. Ceperley, and Bettina Schaefli
Geosci. Model Dev., 13, 2433–2450, https://doi.org/10.5194/gmd-13-2433-2020, https://doi.org/10.5194/gmd-13-2433-2020, 2020
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We develop a Bayesian mixing model to address the issue of small sample sizes to describe different sources in hydrological mixing applications. Using composite likelihood functions, the model accounts for an often overlooked bias arising due to unweighted mixing. We test the model efficacy using a series of statistical benchmarking tests and demonstrate its real-life applicability by applying it to a Swiss Alpine catchment to obtain the proportion of groundwater recharged from rain vs. snow.
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.
Anthony Michelon, Lionel Benoit, Harsh Beria, Natalie Ceperley, and Bettina Schaefli
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-683, https://doi.org/10.5194/hess-2019-683, 2020
Manuscript not accepted for further review
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Rainfall observation remains a challenge particularly in mountain environments. Unlike most studies which are model based, this analysis of the rainfall-runoff response of a 13.4 km2 alpine catchment is purely data-based and rely on measures from a network of 12 low-cost raingauges over 3 months. It assesses the importance of high-density rainfall observations to inform hydrological processes and help to design a permanent raingauge network.
Adrien Michel, Tristan Brauchli, Michael Lehning, Bettina Schaefli, and Hendrik Huwald
Hydrol. Earth Syst. Sci., 24, 115–142, https://doi.org/10.5194/hess-24-115-2020, https://doi.org/10.5194/hess-24-115-2020, 2020
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This study constitutes the first comprehensive analysis of river
temperature in Switzerland combined with discharge and key meteorological variables, such as air temperature and precipitation. It is also the first study to discuss the large-scale seasonal behaviour of stream temperature in Switzerland. This research shows the clear increase of river temperature in Switzerland over the last few decades and may serve as a solid reference for future climate change scenario simulations.
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.
Elvira Mächler, Anham Salyani, Jean-Claude Walser, Annegret Larsen, Bettina Schaefli, Florian Altermatt, and Natalie Ceperley
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-551, https://doi.org/10.5194/hess-2019-551, 2019
Revised manuscript not accepted
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We explored what genetic material collected from water (eDNA) tells us about the flow of mountain streams, which are particularly valuable for habitat and water resources, but highly variable. We saw that when flow increased, more diverse eDNA was transported, especially in the main channel and tributaries. Whereas in the springs, we saw more diverse eDNA when the electrical conductivity of the water increased, likely indicating more underground surface contact.
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.
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.
Ana Clara Santos, Maria Manuela Portela, Andrea Rinaldo, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 22, 2377–2389, https://doi.org/10.5194/hess-22-2377-2018, https://doi.org/10.5194/hess-22-2377-2018, 2018
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This paper assesses the performance of an analytical modeling framework for probability distributions for summer streamflow of 25 Swiss catchments that present a wide range of hydroclimatic regimes, including snow- and icemelt-influenced streamflows. Two versions of the model were tested: linear and nonlinear. The results show that the model performs well for summer discharges under all analyzed regimes and that model performance varies with mean catchment elevation.
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.
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.
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.
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.
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.
A. Gallice, B. Schaefli, M. Lehning, M. B. Parlange, and H. Huwald
Hydrol. Earth Syst. Sci., 19, 3727–3753, https://doi.org/10.5194/hess-19-3727-2015, https://doi.org/10.5194/hess-19-3727-2015, 2015
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This study presents a new model to estimate the monthly mean stream temperature of ungauged rivers over multiple years in an Alpine country. Contrary to the other approaches developed to date, which are usually based on standard regression techniques, our model makes use of the understanding that we have about the physics controlling stream temperature. On top of its accuracy being comparable to that of the other models, it can be used to gain some knowledge about the stream temperature dynamics
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.
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. Schaefli, L. Nicótina, C. Imfeld, P. Da Ronco, E. Bertuzzo, and A. Rinaldo
Geosci. Model Dev., 7, 2733–2746, https://doi.org/10.5194/gmd-7-2733-2014, https://doi.org/10.5194/gmd-7-2733-2014, 2014
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This paper presents the Spatially Explicit Hydrologic Response of the Laboratory of Ecohydrology of the Ecole Polytechnique Fédérale de Lausanne for hydrologic simulation at the catchment scale. It simulates the mobilization of water at the subcatchment scale and the transport to the outlet through a convolution with the river network. We discuss the parameter estimation and model performance for discharge simulation in the high Alpine Dischmabach catchment (Switzerland).
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
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
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
Related subject area
Hydrological Hazards
Hydrological drought forecasting under a changing environment in the Luanhe River basin
A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change
Brief communication: The potential use of low-cost acoustic sensors to detect rainfall for short-term urban flood warnings
Brief communication: On the extremeness of the July 2021 precipitation event in western Germany
A climate-conditioned catastrophe risk model for UK flooding
Indicator-to-impact links to help improve agricultural drought preparedness in Thailand
A globally applicable framework for compound flood hazard modeling
Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany
Brief communication: Inclusiveness in designing an early warning system for flood resilience
Evolution of multivariate drought hazard, vulnerability and risk in India under climate change
A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis
Bare-earth DEM generation from ArcticDEM and its use in flood simulation
Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps
How uncertain are precipitation and peak flow estimates for the July 2021 flooding event?
Estimating the likelihood of roadway pluvial flood based on crowdsourced traffic data and depression-based DEM analysis
An integrated modelling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States
A multi-strategy-mode waterlogging-prediction framework for urban flood depth
Multiscale flood risk assessment under climate change: the case of the Miño River in the city of Ourense, Spain
Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data
Uncovering Inundation Hotspots through a Normalized Flood Severity Index: Urban Flood Modelling Based on Open-Access Data in Ho Chi Minh City, Vietnam
Rare flood scenarios for a rapidly growing high-mountain city: Pokhara, Nepal
Brief communication: Impact forecasting could substantially improve the emergency management of deadly floods: case study July 2021 floods in Germany
Brief communication: Western Europe flood in 2021 – mapping agriculture flood exposure from synthetic aperture radar (SAR)
Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin
A new index to quantify the extremeness of precipitation across scales
Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe
Assessing flood hazard changes using climate model forcing
A methodological framework for the evaluation of short-range flash-flood hydrometeorological forecasts at the event scale
Characterizing multivariate coastal flooding events in a semi-arid region: the implications of copula choice, sampling, and infrastructure
Different drought types and the spatial variability in their hazard, impact, and propagation characteristics
Analyzing the informative value of alternative hazard indicators for monitoring drought risk for human water supply and river ecosystems at the global scale
More than heavy rain turning into fast-flowing water – a landscape perspective on the 2021 Eifel floods
Integrated drought risk assessment to support adaptive policymaking in the Netherlands
INSYDE-BE: adaptation of the INSYDE model to the Walloon region (Belgium)
Assessing flooding impact to riverine bridges: an integrated analysis
Warming of 0.5 °C may cause double the economic loss and increase the population affected by floods in China
First application of the Integrated Karst Aquifer Vulnerability (IKAV) method – potential and actual vulnerability in Yucatán, Mexico
Brief communication: Seismological analysis of flood dynamics and hydrologically triggered earthquake swarms associated with Storm Alex
System vulnerability to flood events and risk assessment of railway systems based on national and river basin scales in China
Machine-learning blends of geomorphic descriptors: value and limitations for flood hazard assessment across large floodplains
A performance-based approach to quantify atmospheric river flood risk
Estimating soil moisture conditions for drought monitoring with random forests and a simple soil moisture accounting scheme
Extreme-coastal-water-level estimation and projection: a comparison of statistical methods
Spatiotemporal evolution and meteorological triggering conditions of hydrological drought in the Hun River basin, NE China
The Cambodian Mekong floodplain under future development plans and climate change
Geo-historical database of flood impacts in Alpine catchments (HIFAVa database, Arve River, France, 1850–2015)
Compound flood modeling framework for surface–subsurface water interactions
Assessing tropical cyclone compound flood risk using hydrodynamic modelling: a case study in Haikou City, China
An approach to identify the best climate models for the assessment of climate change impacts on meteorological and hydrological droughts
Flash flood warnings in context: combining local knowledge and large-scale hydro-meteorological patterns
Min Li, Mingfeng Zhang, Runxiang Cao, Yidi Sun, and Xiyuan Deng
Nat. Hazards Earth Syst. Sci., 23, 1453–1464, https://doi.org/10.5194/nhess-23-1453-2023, https://doi.org/10.5194/nhess-23-1453-2023, 2023
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It is an important disaster reduction strategy to forecast hydrological drought. In order to analyse the impact of human activities on hydrological drought, we constructed the human activity factor based on the method of restoration. With the increase of human index (HI) value, hydrological droughts tend to transition to more severe droughts. The conditional distribution model involving of human activity factor can further improve the forecasting accuracy of drought in the Luanhe River basin.
Patrick Ludwig, Florian Ehmele, Mário J. Franca, Susanna Mohr, Alberto Caldas-Alvarez, James E. Daniell, Uwe Ehret, Hendrik Feldmann, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Michael Kunz, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 1287–1311, https://doi.org/10.5194/nhess-23-1287-2023, https://doi.org/10.5194/nhess-23-1287-2023, 2023
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Heavy precipitation in July 2021 led to widespread floods in western Germany and neighboring countries. The event was among the five heaviest precipitation events of the past 70 years in Germany, and the river discharges exceeded by far the statistical 100-year return values. Simulations of the event under future climate conditions revealed a strong and non-linear effect on flood peaks: for +2 K global warming, an 18 % increase in rainfall led to a 39 % increase of the flood peak in the Ahr river.
Nadav Peleg, Herminia Torelló-Sentelles, Grégoire Mariéthoz, Lionel Benoit, João P. Leitão, and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1233–1240, https://doi.org/10.5194/nhess-23-1233-2023, https://doi.org/10.5194/nhess-23-1233-2023, 2023
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Floods in urban areas are one of the most common natural hazards. Due to climate change enhancing extreme rainfall and cities becoming larger and denser, the impacts of these events are expected to increase. A fast and reliable flood warning system should thus be implemented in flood-prone cities to warn the public of upcoming floods. The purpose of this brief communication is to discuss the potential implementation of low-cost acoustic rainfall sensors in short-term flood warning systems.
Katharina Lengfeld, Paul Voit, Frank Kaspar, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 1227–1232, https://doi.org/10.5194/nhess-23-1227-2023, https://doi.org/10.5194/nhess-23-1227-2023, 2023
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Estimating the severity of a rainfall event based on the damage caused is easy but highly depends on the affected region. A less biased measure for the extremeness of an event is its rarity combined with its spatial extent. In this brief communication, we investigate the sensitivity of such measures to the underlying dataset and highlight the importance of considering multiple spatial and temporal scales using the devastating rainfall event in July 2021 in central Europe as an example.
Paul D. Bates, James Savage, Oliver Wing, Niall Quinn, Christopher Sampson, Jeffrey Neal, and Andrew Smith
Nat. Hazards Earth Syst. Sci., 23, 891–908, https://doi.org/10.5194/nhess-23-891-2023, https://doi.org/10.5194/nhess-23-891-2023, 2023
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We present and validate a model that simulates current and future flood risk for the UK at high resolution (~ 20–25 m). We show that UK flood losses were ~ 6 % greater in the climate of 2020 compared to recent historical values. The UK can keep any future increase to ~ 8 % if all countries implement their COP26 pledges and net-zero ambitions in full. However, if only the COP26 pledges are fulfilled, then UK flood losses increase by ~ 23 %; and potentially by ~ 37 % in a worst-case scenario.
Maliko Tanguy, Michael Eastman, Eugene Magee, Lucy J. Barker, Thomas Chitson, Chaiwat Ekkawatpanit, Daniel Goodwin, Jamie Hannaford, Ian Holman, Liwa Pardthaisong, Simon Parry, Dolores Rey Vicario, and Supattra Visessri
EGUsphere, https://doi.org/10.5194/egusphere-2023-308, https://doi.org/10.5194/egusphere-2023-308, 2023
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Droughts in Thailand are becoming more severe due to climate change. Understanding the link between drought impacts on the ground and drought indicators used in drought monitoring systems can help increase a country’s preparedness and resilience to drought. With a focus on agricultural droughts, we derive crop- and region-specific indicator-to-impacts links that can form the basis of targeted mitigation actions and an improved drought monitoring and early warning system in Thailand.
Dirk Eilander, Anaïs Couasnon, Tim Leijnse, Hiroaki Ikeuchi, Dai Yamazaki, Sanne Muis, Job Dullaart, Arjen Haag, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023, https://doi.org/10.5194/nhess-23-823-2023, 2023
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In coastal deltas, flooding can occur from interactions between coastal, riverine, and pluvial drivers, so-called compound flooding. Global models however ignore these interactions. We present a framework for automated and reproducible compound flood modeling anywhere globally and validate it for two historical events in Mozambique with good results. The analysis reveals differences in compound flood dynamics between both events related to the magnitude of and time lag between drivers.
Omar Seleem, Georgy Ayzel, Axel Bronstert, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 809–822, https://doi.org/10.5194/nhess-23-809-2023, https://doi.org/10.5194/nhess-23-809-2023, 2023
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Data-driven models are becoming more of a surrogate that overcomes the limitations of the computationally expensive 2D hydrodynamic models to map urban flood hazards. However, the model's ability to generalize outside the training domain is still a major challenge. We evaluate the performance of random forest and convolutional neural networks to predict urban floodwater depth and investigate their transferability outside the training domain.
Tahmina Yasmin, Kieran Khamis, Anthony Ross, Subir Sen, Anita Sharma, Debashish Sen, Sumit Sen, Wouter Buytaert, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 23, 667–674, https://doi.org/10.5194/nhess-23-667-2023, https://doi.org/10.5194/nhess-23-667-2023, 2023
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Floods continue to be a wicked problem that require developing early warning systems with plausible assumptions of risk behaviour, with more targeted conversations with the community at risk. Through this paper we advocate the use of a SMART approach to encourage bottom-up initiatives to develop inclusive and purposeful early warning systems that benefit the community at risk by engaging them at every step of the way along with including other stakeholders at multiple scales of operations.
Venkataswamy Sahana and Arpita Mondal
Nat. Hazards Earth Syst. Sci., 23, 623–641, https://doi.org/10.5194/nhess-23-623-2023, https://doi.org/10.5194/nhess-23-623-2023, 2023
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In an agriculture-dependent, densely populated country such as India, drought risk projection is important to assess future water security. This study presents the first comprehensive drought risk assessment over India, integrating hazard and vulnerability information. Future drought risk is found to be more significantly driven by increased vulnerability resulting from societal developments rather than climate-induced changes in hazard. These findings can inform planning for drought resilience.
Susanna Mohr, Uwe Ehret, Michael Kunz, Patrick Ludwig, Alberto Caldas-Alvarez, James E. Daniell, Florian Ehmele, Hendrik Feldmann, Mário J. Franca, Christian Gattke, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Marc Scheibel, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 525–551, https://doi.org/10.5194/nhess-23-525-2023, https://doi.org/10.5194/nhess-23-525-2023, 2023
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The flood event in July 2021 was one of the most severe disasters in Europe in the last half century. The objective of this two-part study is a multi-disciplinary assessment that examines the complex process interactions in different compartments, from meteorology to hydrological conditions to hydro-morphological processes to impacts on assets and environment. In addition, we address the question of what measures are possible to generate added value to early response management.
Yinxue Liu, Paul D. Bates, and Jeffery C. Neal
Nat. Hazards Earth Syst. Sci., 23, 375–391, https://doi.org/10.5194/nhess-23-375-2023, https://doi.org/10.5194/nhess-23-375-2023, 2023
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In this paper, we test two approaches for removing buildings and other above-ground objects from a state-of-the-art satellite photogrammetry topography product, ArcticDEM. Our best technique gives a 70 % reduction in vertical error, with an average difference of 1.02 m from a benchmark lidar for the city of Helsinki, Finland. When used in a simulation of rainfall-driven flooding, the bare-earth version of ArcticDEM yields a significant improvement in predicted inundation extent and water depth.
Joseph L. Gutenson, Ahmad A. Tavakoly, Mohammad S. Islam, Oliver E. J. Wing, William P. Lehman, Chase O. Hamilton, Mark D. Wahl, and T. Christopher Massey
Nat. Hazards Earth Syst. Sci., 23, 261–277, https://doi.org/10.5194/nhess-23-261-2023, https://doi.org/10.5194/nhess-23-261-2023, 2023
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Emergency managers use event-based flood inundation maps (FIMs) to plan and coordinate flood emergency response. We perform a case study test of three different FIM frameworks to see if FIM differences lead to substantial differences in the location and magnitude of flood exposure and consequences. We find that the FIMs are very different spatially and that the spatial differences do produce differences in the location and magnitude of exposure and consequences.
Mohamed Saadi, Carina Furusho-Percot, Alexandre Belleflamme, Ju-Yu Chen, Silke Trömel, and Stefan Kollet
Nat. Hazards Earth Syst. Sci., 23, 159–177, https://doi.org/10.5194/nhess-23-159-2023, https://doi.org/10.5194/nhess-23-159-2023, 2023
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On 14 July 2021, heavy rainfall fell over central Europe, causing considerable damage and human fatalities. We analyzed how accurate our estimates of rainfall and peak flow were for these flooding events in western Germany. We found that the rainfall estimates from radar measurements were improved by including polarimetric variables and their vertical gradients. Peak flow estimates were highly uncertain due to uncertainties in hydrological model parameters and rainfall measurements.
Arefeh Safaei-Moghadam, David Tarboton, and Barbara Minsker
Nat. Hazards Earth Syst. Sci., 23, 1–19, https://doi.org/10.5194/nhess-23-1-2023, https://doi.org/10.5194/nhess-23-1-2023, 2023
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Climate change, urbanization, and aging infrastructure contribute to flooding on roadways. This study evaluates the potential for flood reports collected from Waze – a community-based navigation app – to predict these events. Waze reports correlate primarily with low-lying depressions on roads. Therefore, we developed two data-driven models to determine whether roadways will flood. Analysis showed that in the city of Dallas, drainage area and imperviousness are the most significant contributors.
Betina Ines Guido, Ioana Popescu, Vidya Samadi, and Biswa Bhattacharya
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-281, https://doi.org/10.5194/nhess-2022-281, 2023
Revised manuscript under review for NHESS
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We used an integrated model to evaluate the impacts of nature-based solutions (NBS) on flood mitigation across the Little Pee Dee and Lumber rivers watershed, the Carolinas, US. This area is strongly affected by climatic disasters which are expected to increase due to climate change and urbanization, so exploring an NBS approach is crucial for adapting to future alterations. Our research found that NBS can have visible effects in the reduction of hurricane-driven flooding.
Zongjia Zhang, Jun Liang, Yujue Zhou, Zhejun Huang, Jie Jiang, Junguo Liu, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 4139–4165, https://doi.org/10.5194/nhess-22-4139-2022, https://doi.org/10.5194/nhess-22-4139-2022, 2022
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An innovative multi-strategy-mode waterlogging-prediction framework for predicting waterlogging depth is proposed in the paper. The framework selects eight regression algorithms for comparison and tests the prediction accuracy and robustness of the model under different prediction strategies. Ultimately, the accuracy of predicting water depth after 30 min can exceed 86.1 %. This can aid decision-making in terms of issuing early warning information and determining emergency responses in advance.
Diego Fernández-Nóvoa, Orlando García-Feal, José González-Cao, Maite deCastro, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci., 22, 3957–3972, https://doi.org/10.5194/nhess-22-3957-2022, https://doi.org/10.5194/nhess-22-3957-2022, 2022
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A multiscale analysis, where the historical and future precipitation data from the CORDEX project were used as input in a hydrological model (HEC-HMS) that, in turn, feeds a 2D hydraulic model (Iber+), was applied to the case of the Miño-Sil basin (NW Spain), specifically to Ourense city, in order to analyze future changes in flood hazard. Detailed flood maps indicate an increase in the frequency and intensity of future floods, implying an increase in flood hazard in important areas of the city.
Jaime Gaona, Pere Quintana-Seguí, María José Escorihuela, Aaron Boone, and María Carmen Llasat
Nat. Hazards Earth Syst. Sci., 22, 3461–3485, https://doi.org/10.5194/nhess-22-3461-2022, https://doi.org/10.5194/nhess-22-3461-2022, 2022
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Droughts represent a particularly complex natural hazard and require explorations of their multiple causes. Part of the complexity has roots in the interaction between the continuous changes in and deviation from normal conditions of the atmosphere and the land surface. The exchange between the atmospheric and surface conditions defines feedback towards dry or wet conditions. In semi-arid environments, energy seems to exceed water in its impact over the evolution of conditions, favoring drought.
Mazen Hoballah Jalloul, Leon Scheiber, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-238, https://doi.org/10.5194/nhess-2022-238, 2022
Revised manuscript accepted for NHESS
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Urban floods have caused a growing amount of damage during the last decades, esp. in low-elevation coastal zones like Ho Chi Minh City, Vietnam. This study presents a numerical model that simulates local flood depths and durations exclusively based on open-access data. Subsequently, a novel and easy-to-apply indicator, the Normalized Flood Severity Index, is introduced, combining both parameters to uncover local inundation hotspots. This approach can be replicated in any other coastal megacity.
Melanie Fischer, Jana Brettin, Sigrid Roessner, Ariane Walz, Monique Fort, and Oliver Korup
Nat. Hazards Earth Syst. Sci., 22, 3105–3123, https://doi.org/10.5194/nhess-22-3105-2022, https://doi.org/10.5194/nhess-22-3105-2022, 2022
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Nepal’s second-largest city has been rapidly growing since the 1970s, although its valley has been affected by rare, catastrophic floods in recent and historic times. We analyse potential impacts of such floods on urban areas and infrastructure by modelling 10 physically plausible flood scenarios along Pokhara’s main river. We find that hydraulic effects would largely affect a number of squatter settlements, which have expanded rapidly towards the river by a factor of up to 20 since 2008.
Heiko Apel, Sergiy Vorogushyn, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 22, 3005–3014, https://doi.org/10.5194/nhess-22-3005-2022, https://doi.org/10.5194/nhess-22-3005-2022, 2022
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The paper presents a fast 2D hydraulic simulation model for flood propagation that enables operational forecasts of spatially distributed inundation depths, flood extent, flow velocities, and other flood impacts. The detailed spatial forecast of floods and flood impacts is a large step forward from the currently operational forecasts of discharges at selected gauges, thus enabling a more targeted flood management and early warning.
Kang He, Qing Yang, Xinyi Shen, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 22, 2921–2927, https://doi.org/10.5194/nhess-22-2921-2022, https://doi.org/10.5194/nhess-22-2921-2022, 2022
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This study depicts the flood-affected areas in western Europe in July 2021 and particularly the agriculture land that was under flood inundation. The results indicate that the total inundated area over western Europe is about 1920 km2, of which 1320 km2 is in France. Around 64 % of the inundated area is agricultural land. We expect that the agricultural productivity in western Europe will have been severely impacted.
Daniel Viviroli, Anna E. Sikorska-Senoner, Guillaume Evin, Maria Staudinger, Martina Kauzlaric, Jérémy Chardon, Anne-Catherine Favre, Benoit Hingray, Gilles Nicolet, Damien Raynaud, Jan Seibert, Rolf Weingartner, and Calvin Whealton
Nat. Hazards Earth Syst. Sci., 22, 2891–2920, https://doi.org/10.5194/nhess-22-2891-2022, https://doi.org/10.5194/nhess-22-2891-2022, 2022
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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.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 22, 2791–2805, https://doi.org/10.5194/nhess-22-2791-2022, https://doi.org/10.5194/nhess-22-2791-2022, 2022
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To better understand how the frequency and intensity of heavy precipitation events (HPEs) will change with changing climate and to adapt disaster risk management accordingly, we have to quantify the extremeness of HPEs in a reliable way. We introduce the xWEI (cross-scale WEI) and show that this index can reveal important characteristics of HPEs that would otherwise remain hidden. We conclude that the xWEI could be a valuable instrument in both disaster risk management and research.
Angelica Tarpanelli, Alessandro C. Mondini, and Stefania Camici
Nat. Hazards Earth Syst. Sci., 22, 2473–2489, https://doi.org/10.5194/nhess-22-2473-2022, https://doi.org/10.5194/nhess-22-2473-2022, 2022
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We analysed 10 years of river discharge data from almost 2000 sites in Europe, and we extracted flood events, as proxies of flood inundations, based on the overpasses of Sentinel-1 and Sentinel-2 satellites to derive the percentage of potential inundation events that they were able to observe. Results show that on average 58 % of flood events are potentially observable by Sentinel-1 and only 28 % by Sentinel-2 due to the obstacle of cloud coverage.
David P. Callaghan and Michael G. Hughes
Nat. Hazards Earth Syst. Sci., 22, 2459–2472, https://doi.org/10.5194/nhess-22-2459-2022, https://doi.org/10.5194/nhess-22-2459-2022, 2022
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A new method was developed to estimate changes in flood hazard under climate change. We use climate projections covering New South Wales, Australia, with two emission paths of business as usual and one with reduced emissions. We apply our method to the lower floodplain of the Gwydir Valley with changes in flood hazard provided over the next 90 years compared with the previous 50 years. We find that changes in flood hazard decrease over time within the Gwydir Valley floodplain.
Maryse Charpentier-Noyer, Daniela Peredo, Axelle Fleury, Hugo Marchal, François Bouttier, Eric Gaume, Pierre Nicolle, Olivier Payrastre, and Maria-Helena Ramos
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-182, https://doi.org/10.5194/nhess-2022-182, 2022
Revised manuscript accepted for NHESS
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This paper proposes a methodological framework designed for the event-based evaluation in the context of an intense flash-flood event. The evaluation adopts the point of view of end-users, with a focus on anticipation of exceedances of discharge thresholds. With a study of rainfall forecasts, a discharge evaluation and a detailed look at the forecast hydrographs, the evaluation framework should contribute to draw robust conclusions about the usefulness of newly rainfall ensemble forecasts.
Joseph T. D. Lucey and Timu W. Gallien
Nat. Hazards Earth Syst. Sci., 22, 2145–2167, https://doi.org/10.5194/nhess-22-2145-2022, https://doi.org/10.5194/nhess-22-2145-2022, 2022
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Coastal flooding can result from multiple flood drivers (e.g., tides, waves, river flows, rainfall) occurring at the same time. This study characterizes flooding events caused by high marine water levels and rain. Results show that wet-season coinciding sampling may better describe extreme flooding events in a dry, tidally dominated region. A joint-probability-based function is then used to estimate sea wall impacts on urban coastal flooding.
Erik Tijdeman, Veit Blauhut, Michael Stoelzle, Lucas Menzel, and Kerstin Stahl
Nat. Hazards Earth Syst. Sci., 22, 2099–2116, https://doi.org/10.5194/nhess-22-2099-2022, https://doi.org/10.5194/nhess-22-2099-2022, 2022
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We identified different drought types with typical hazard and impact characteristics. The summer drought type with compounding heat was most impactful. Regional drought propagation of this drought type exhibited typical characteristics that can guide drought management. However, we also found a large spatial variability that caused distinct differences among propagating drought signals. Accordingly, local multivariate drought information was needed to explain the full range of drought impacts.
Claudia Herbert and Petra Döll
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-174, https://doi.org/10.5194/nhess-2022-174, 2022
Revised manuscript accepted for NHESS
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This paper presents a new systematic approach for selecting global-scale hazard indicators for monitoring drought risk for human water supply and river ecosystems. The new taxonomy distinguishes indicators by their inherent assumptions about the habituation of people and the ecosystem to the streamflow regime and their level of drought characterization, namely drought magnitude (water deficit during a pre-defined period) and severity (cumulated magnitude since beginning of the drought event).
Michael Dietze, Rainer Bell, Ugur Ozturk, Kristen L. Cook, Christoff Andermann, Alexander R. Beer, Bodo Damm, Ana Lucia, Felix S. Fauer, Katrin M. Nissen, Tobias Sieg, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 22, 1845–1856, https://doi.org/10.5194/nhess-22-1845-2022, https://doi.org/10.5194/nhess-22-1845-2022, 2022
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The flood that hit Europe in July 2021, specifically the Eifel, Germany, was more than a lot of fast-flowing water. The heavy rain that fell during the 3 d before also caused the slope to fail, recruited tree trunks that clogged bridges, and routed debris across the landscape. Especially in the upper parts of the catchments the flood was able to gain momentum. Here, we discuss how different landscape elements interacted and highlight the challenges of holistic future flood anticipation.
Marjolein J. P. Mens, Gigi van Rhee, Femke Schasfoort, and Neeltje Kielen
Nat. Hazards Earth Syst. Sci., 22, 1763–1776, https://doi.org/10.5194/nhess-22-1763-2022, https://doi.org/10.5194/nhess-22-1763-2022, 2022
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Many countries have to prepare for droughts by proposing policy actions to increase water supply, reduce water demand, or limit the societal impact. Societal cost–benefit analysis is required to support decision-making for a range of future scenarios, accounting for climate change and socio-economic developments. This paper presents a framework to assess drought policy actions based on quantification of drought risk and exemplifies it for the Netherlands’ drought risk management strategy.
Anna Rita Scorzini, Benjamin Dewals, Daniela Rodriguez Castro, Pierre Archambeau, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 22, 1743–1761, https://doi.org/10.5194/nhess-22-1743-2022, https://doi.org/10.5194/nhess-22-1743-2022, 2022
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This study presents a replicable procedure for the adaptation of synthetic, multi-variable flood damage models among countries that may have different hazard and vulnerability features. The procedure is exemplified here for the case of adaptation to the Belgian context of a flood damage model, INSYDE, for the residential sector, originally developed for Italy. The study describes necessary changes in model assumptions and input parameters to properly represent the new context of implementation.
Maria Pregnolato, Andrew O. Winter, Dakota Mascarenas, Andrew D. Sen, Paul Bates, and Michael R. Motley
Nat. Hazards Earth Syst. Sci., 22, 1559–1576, https://doi.org/10.5194/nhess-22-1559-2022, https://doi.org/10.5194/nhess-22-1559-2022, 2022
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The interaction of flow, structure and network is complex, and yet to be fully understood. This study aims to establish rigorous practices of computational fluid dynamics (CFD) for modelling hydrodynamic forces on inundated bridges, and understanding the consequences of such impacts on the surrounding network. The objectives of this study are to model hydrodynamic forces as the demand on the bridge structure, to advance a structural reliability and network-level analysis.
Lulu Liu, Jiangbo Gao, and Shaohong Wu
Nat. Hazards Earth Syst. Sci., 22, 1577–1590, https://doi.org/10.5194/nhess-22-1577-2022, https://doi.org/10.5194/nhess-22-1577-2022, 2022
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The impact of extreme events is increasing with global warming. Based on future scenario data and an improved quantitative assessment model of natural-disaster risk, this study analyses the spatial and temporal patterns of floods in China at 1.5 °C and 2 °C of global warming, quantitatively assesses the socioeconomic risks posed by floods, and determines the integrated risk levels. Global warming of 1.5 °C can effectively reduce the population affected and the economic risks of floods.
Miguel Moreno-Gómez, Carolina Martínez-Salvador, Rudolf Liedl, Catalin Stefan, and Julia Pacheco
Nat. Hazards Earth Syst. Sci., 22, 1591–1608, https://doi.org/10.5194/nhess-22-1591-2022, https://doi.org/10.5194/nhess-22-1591-2022, 2022
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Current vulnerability methods, as tools to protect groundwater resources from pollution, present some limitations and drawbacks: the roles of population and economic activities are not considered by such methods. The methodology presented in this work combines natural characteristics and human-driven conditions of a given region to improve the process of groundwater vulnerability analysis. Results indicate the reliability of this alternative method to improve groundwater protection strategies.
Małgorzata Chmiel, Maxime Godano, Marco Piantini, Pierre Brigode, Florent Gimbert, Maarten Bakker, Françoise Courboulex, Jean-Paul Ampuero, Diane Rivet, Anthony Sladen, David Ambrois, and Margot Chapuis
Nat. Hazards Earth Syst. Sci., 22, 1541–1558, https://doi.org/10.5194/nhess-22-1541-2022, https://doi.org/10.5194/nhess-22-1541-2022, 2022
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On 2 October 2020, the French Maritime Alps were struck by an extreme rainfall event caused by Storm Alex. Here, we show that seismic data provide the timing and velocity of the propagation of flash-flood waves along the Vésubie River. We also detect 114 small local earthquakes triggered by the rainwater weight and/or its infiltration into the ground. This study paves the way for future works that can reveal further details of the impact of Storm Alex on the Earth’s surface and subsurface.
Weihua Zhu, Kai Liu, Ming Wang, Philip J. Ward, and Elco E. Koks
Nat. Hazards Earth Syst. Sci., 22, 1519–1540, https://doi.org/10.5194/nhess-22-1519-2022, https://doi.org/10.5194/nhess-22-1519-2022, 2022
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We present a simulation framework to analyse the system vulnerability and risk of the Chinese railway system to floods. To do so, we develop a method for generating flood events at both the national and river basin scale. Results show flood system vulnerability and risk of the railway system are spatially heterogeneous. The event-based approach shows how we can identify critical hotspots, taking the first steps in developing climate-resilient infrastructure.
Andrea Magnini, Michele Lombardi, Simone Persiano, Antonio Tirri, Francesco Lo Conti, and Attilio Castellarin
Nat. Hazards Earth Syst. Sci., 22, 1469–1486, https://doi.org/10.5194/nhess-22-1469-2022, https://doi.org/10.5194/nhess-22-1469-2022, 2022
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We retrieve descriptors of the terrain morphology from a digital elevation model of a 105 km2 study area and blend them through decision tree models to map flood susceptibility and expected water depth. We investigate this approach with particular attention to (a) the comparison with a selected single-descriptor approach, (b) the goodness of decision trees, and (c) the performance of these models when applied to data-scarce regions. We find promising pathways for future research.
Corinne Bowers, Katherine A. Serafin, and Jack Baker
Nat. Hazards Earth Syst. Sci., 22, 1371–1393, https://doi.org/10.5194/nhess-22-1371-2022, https://doi.org/10.5194/nhess-22-1371-2022, 2022
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Atmospheric rivers (ARs) cause significant flooding on the US west coast. We present a new Performance-based Atmospheric River Risk Analysis (PARRA) framework that connects models of atmospheric forcings, hydrologic impacts, and economic consequences to better estimate losses from AR-induced river flooding. We apply the PARRA framework to a case study in Sonoma County, CA, USA, and show that the framework can quantify the potential benefit of flood mitigation actions such as home elevation.
Yves Tramblay and Pere Quintana Seguí
Nat. Hazards Earth Syst. Sci., 22, 1325–1334, https://doi.org/10.5194/nhess-22-1325-2022, https://doi.org/10.5194/nhess-22-1325-2022, 2022
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Monitoring soil moisture is important during droughts, but very few measurements are available. Consequently, land-surface models are essential tools for reproducing soil moisture dynamics. In this study, a hybrid approach allowed for regionalizing soil water content using a machine learning method. This approach proved to be efficient, compared to the use of soil property maps, to run a simple soil moisture accounting model, and therefore it can be applied in various regions.
Maria Francesca Caruso and Marco Marani
Nat. Hazards Earth Syst. Sci., 22, 1109–1128, https://doi.org/10.5194/nhess-22-1109-2022, https://doi.org/10.5194/nhess-22-1109-2022, 2022
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We comparatively evaluate the predictive performance of traditional and new approaches to estimate the probability distributions of extreme coastal water levels. The metastatistical approach maximizes the use of observational information and provides reliable estimates of high quantiles with respect to traditional methods. Leveraging the increased estimation accuracy afforded by this approach, we investigate future changes in the frequency of extreme total water levels.
Shupeng Yue, Xiaodan Sheng, and Fengtian Yang
Nat. Hazards Earth Syst. Sci., 22, 995–1014, https://doi.org/10.5194/nhess-22-995-2022, https://doi.org/10.5194/nhess-22-995-2022, 2022
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To develop drought assessment and early warning systems, it is necessary to explore the characteristics of drought and its propagation process. In this article, a generalized and efficient drought research framework is studied and verified. It includes the evaluation of the spatiotemporal evolution, the construction of the return period calculation model, and the quantitative analysis of the meteorological trigger conditions of drought based on an improved Bayesian network model.
Alexander J. Horton, Nguyen V. K. Triet, Long P. Hoang, Sokchhay Heng, Panha Hok, Sarit Chung, Jorma Koponen, and Matti Kummu
Nat. Hazards Earth Syst. Sci., 22, 967–983, https://doi.org/10.5194/nhess-22-967-2022, https://doi.org/10.5194/nhess-22-967-2022, 2022
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We studied the cumulative impact of future development and climate change scenarios on discharge and floods in the Cambodian Mekong floodplain. We found that hydropower impacts dominate, acting in opposition to climate change impacts to drastically increase dry season flows and reduce wet season flows even when considering the higher RCP8.5 level. The consequent reduction in flood extent and duration may reduce regional flood risk but may also have negative impacts on floodplain productivity.
Eva Boisson, Bruno Wilhelm, Emmanuel Garnier, Alain Mélo, Sandrine Anquetin, and Isabelle Ruin
Nat. Hazards Earth Syst. Sci., 22, 831–847, https://doi.org/10.5194/nhess-22-831-2022, https://doi.org/10.5194/nhess-22-831-2022, 2022
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We present the database of Historical Impacts of Floods in the Arve Valley (HIFAVa). It reports flood occurrences and impacts (1850–2015) in a French Alpine catchment. Our results show an increasing occurrence of impacts from 1920 onwards, which is more likely related to indirect source effects and/or increasing exposure rather than hydrological changes. The analysis reveals that small mountain streams caused more impacts (67 %) than the main river.
Francisco Peña, Fernando Nardi, Assefa Melesse, Jayantha Obeysekera, Fabio Castelli, René M. Price, Todd Crowl, and Noemi Gonzalez-Ramirez
Nat. Hazards Earth Syst. Sci., 22, 775–793, https://doi.org/10.5194/nhess-22-775-2022, https://doi.org/10.5194/nhess-22-775-2022, 2022
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Groundwater-induced flooding, a rare phenomenon that is increasing in low-elevation coastal cities due to higher water tables, is often neglected in flood risk mapping due to its sporadic frequency and considerably lower severity with respect to other flood hazards. A loosely coupled flood model is used to simulate the interplay between surface and subsurface flooding mechanisms simultaneously. This work opens new horizons on the development of compound flood models from a holistic perspective.
Qing Liu, Hanqing Xu, and Jun Wang
Nat. Hazards Earth Syst. Sci., 22, 665–675, https://doi.org/10.5194/nhess-22-665-2022, https://doi.org/10.5194/nhess-22-665-2022, 2022
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The coastal area is a major floodplain in compound flood events in coastal cities, primarily due to storm tide, with the inundation severity positively correlated with the height of the storm tide. Simply accumulating every single-driven flood hazard (rainstorm inundation and storm tide flooding) to define the compound flood hazard may cause underestimation. The assessment of tropical cyclone compound flood risk can provide vital insight for research on coastal flooding prevention.
Antonio-Juan Collados-Lara, Juan-de-Dios Gómez-Gómez, David Pulido-Velazquez, and Eulogio Pardo-Igúzquiza
Nat. Hazards Earth Syst. Sci., 22, 599–616, https://doi.org/10.5194/nhess-22-599-2022, https://doi.org/10.5194/nhess-22-599-2022, 2022
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This work studies the benefit of using more reliable local climate scenarios to analyse hydrological impacts. It has been applied in the Cenajo basin (south-eastern Spain), where we showed that the best approximations of the historical meteorology also provide the best approximations of the hydrology. The two selected climate models predict worrying changes in precipitation, temperature, streamflows and meteorological and hydrological droughts for the period 2071–2100 under the RCP8.5.
Agathe Bucherie, Micha Werner, Marc van den Homberg, and Simon Tembo
Nat. Hazards Earth Syst. Sci., 22, 461–480, https://doi.org/10.5194/nhess-22-461-2022, https://doi.org/10.5194/nhess-22-461-2022, 2022
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Local communities in northern Malawi have well-developed knowledge of the conditions leading to flash floods, spatially and temporally. Scientific analysis of catchment geomorphology and global reanalysis datasets corroborates this local knowledge, underlining the potential of these large-scale scientific datasets. Combining local knowledge with contemporary scientific datasets provides a common understanding of flash flood events, contributing to a more people-centred warning to flash floods.
Cited articles
Addor, N., Rössler, O., Köplin, N., Huss, M., Weingartner, R., and
Seibert, J.: Robust changes and sources of uncertainty in the projected
hydrological regimes of Swiss catchments, Water Resour. Res., 50, 7541–7562, https://doi.org/10.1002/2014WR015549, 2014. a
American Society of Civil Engineers: Hydrology Handbook, 2nd Edn., American Society of Civil Engineers, New York, https://doi.org/10.1061/9780784401385, 1996.
a
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. a, b
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. a, b
BAFU: Hochwasserstatistik Stationsbericht Dünnern – Olten,
Hammermüuhle, BAFU Bericht, available at:
https://www.hydrodaten.admin.ch/lhg/sdi/hq_studien/hq_statistics/2434_hq_Bericht.pdf (last access: 16 December 2020), 2017. a
Beauchamp, J., Leconte, R., Trudel, M., and Brissette, F.: Estimation of the
summer–fall PMP and PMF of a northern watershed under a changed climate, Water Resour. Res., 49, 3852–3862, https://doi.org/10.1002/wrcr.20336, 2013. a
Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty
estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11–29, https://doi.org/10.1016/S0022-1694(01)00421-8, 2001. a, b, c
Blazkova, S. and Beven, K.: Flood frequency estimation by continuous simulation for a catchment treated as ungauged (with uncertainty), Water Resour. Res., 38, 14–1–14–14, https://doi.org/10.1029/2001WR000500, 2002. a, b
Blazkova, S. and Beven, K.: Flood frequency estimation by continuous simulation of subcatchment rainfalls and discharges with the aim of improving dam safety assessment in a large basin in the Czech Republic, J. Hydrol., 292, 153–172, https://doi.org/10.1016/j.jhydrol.2003.12.025, 2004. a, b
Boughton, W. and Droop, O.: Continuous simulation for design flood estimation – a review, Environ. Model. Softw., 18, 309–318, https://doi.org/10.1016/S1364-8152(03)00004-5, 2003. a
Breinl, K.: Driving a lumped hydrological model with precipitation output from weather generators of different complexity, Hydrolog. Sci. J., 61, 1395–1414, https://doi.org/10.1080/02626667.2015.1036755, 2016. a
Brunner, M. I. and Sikorska-Senoner, A. E.: Dependence of flood peaks and
volumes in modeled discharge time series: Effect of different uncertainty
sources, J. Hydrol., 572, 620–629, https://doi.org/10.1016/j.jhydrol.2019.03.024, 2019. a, b
Brunner, M. I., Seibert, J., and Favre, A.-C.: Bivariate return periods and
their importance for flood peak and volume estimation, WIREs Water, 3, 819–833, https://doi.org/10.1002/wat2.1173, 2016. a
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. a, b
Brunner, M. I., Furrer, R., Sikorska, A. E., Viviroli, D., Seibert, J., and
Favre, A. C.: Synthetic design hydrographs for ungauged catchments: a
comparison of regionalization methods, Stoch. Environ. Res. Risk A., 32, 1993–2023, https://doi.org/10.1007/s00477-018-1523-3, 2018a. a, b
Brunner, M. I., Sikorska, A. E., Furrer, R., and Favre, A.-C.: Uncertainty
Assessment of Synthetic Design Hydrographs for Gauged and Ungauged
Catchments, Water Resour. Res., 54, 1493–1512, https://doi.org/10.1002/2017WR021129, 2018b. a
Brunner, M. I., Sikorska, A. E., and Seibert, J.: Bivariate analysis of floods in climate impact assessments, Sci. Total Environ., 616–617, 1392–1403, https://doi.org/10.1016/j.scitotenv.2017.10.176, 2018c. a, b
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. a
Cameron, D., Beven, K., Tawn, J., Blazkova, S., and Naden, P.: Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty), J. Hydrol., 219, 169–187, https://doi.org/10.1016/S0022-1694(99)00057-8, 1999. a, b
Cameron, D., Beven, K., Tawn, J., and Naden, P.: Flood frequency estimation by continuous simulation (with likelihood based uncertainty estimation), Hydrol. Earth Syst. Sci., 4, 23–34, https://doi.org/10.5194/hess-4-23-2000, 2000. a, b
Chow, V. T., Maidment, D. R., and Mays, L. W.: Applied Hydrology, Mc Graw-Hill, New York, 1988. a
Dawson, C., Abrahart, R., and See, L.: Hydrotest: a web-based toolbox of
evaluation metrics for the standardised assessment of hydrological forecasts,
Environ. Model. Softw., 22, 1034–1052, https://doi.org/10.1016/j.envsoft.2006.06.008, 2007. a
De Michele, C., Salvadori, G., Canossi, M., Petaccia, A., and Rosso, R.:
Bivariate Statistical Approach to Check Adequacy of Dam Spillway, J. Hydrol. Eng., 10, 50–57, https://doi.org/10.1061/(ASCE)1084-0699(2005)10:1(50), 2005. a
Eagleson, P.: Dynamics of flood frequency, Water Resour. Res., 8, 878–898, https://doi.org/10.1029/WR008i004p00878, 1972. a
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. a, b, c, d
Evin, G., Favre, A.-C., and Hingray, B.: Stochastic generators of multi-site
daily temperature: comparison of performances in various applications,
Theor. App. Climatol., 135, 811–824, https://doi.org/10.1007/s00704-018-2404-x, 2019. a, b
Favre, A. C., El Adlouni, S., Luc Perreault, L., Thiémonge, N., and Bobé, B.: Multivariate hydrological frequency analysis using copulas, Water Resour. Res., 40, W01101, https://doi.org/10.1029/2003WR002456, 2004. a
Filipova, V., Lawrence, D., and Skaugen, T.: A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes, Nat. Hazards Earth Syst. Sci., 19, 1–18,
https://doi.org/10.5194/nhess-19-1-2019, 2019. a
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. a
Fischer, S., Schumann, A., and Schulte, M.: Characterisation of seasonal flood types according to timescales in mixed probability distributions, J. Hydrol., 539, 38–56, https://doi.org/10.1016/j.jhydrol.2016.05.005, 2016. a
FOEN: Historical data from the hydrometric stations on Swiss watercourses and lakes, Switzerland, available at: https://www.bafu.admin.ch, last access: 12 February 2020. a
Gaál, L., Szolgay, J., Kohnová, S., Hlavčová, K., Parajka, J., Viglione, A., Merz, R., and Blöschl, G.: Dependence between flood peaks and volumes: a case study on climate and hydrological controls, Hydrolog. Sci. J., 60, 968–984, https://doi.org/10.1080/02626667.2014.951361, 2015. a
Gabriel-Martin, I., Sordo-Ward, A., Garrote, L., and García, J. T.: Dependence Between Extreme Rainfall Events and the Seasonality and Bivariate Properties of Floods. A Continuous Distributed Physically-Based Approach, Water, 11, 1896, https://doi.org/10.3390/w11091896, 2019. a
Gangrade, S., Kao, S. C., Dullo, T. T., Kalyanapu, A. J., and Preston, B. L.:
Ensemble-based flood vulnerability assessment for probable maximum flood in a
changing environment, J. Hydrol., 576, 342–355, https://doi.org/10.1016/j.jhydrol.2019.06.027, 2019. a
Graler, B., van den Berg, M. J., Vandenberghe, S., Petroselli, A., Grimaldi,
S., De Baets, B., and Verhoest, N. E. C.: Multivariate return periods in
hydrology: a critical and practical review focusing on synthetic design
hydrograph estimation, Hydrol. Earth Syst. Sci., 17, 1281–1296,
https://doi.org/10.5194/hess-17-1281-2013, 2013. a
Griessinger, N., Seibert, J., Magnusson, J., and Jonas, T.: Assessing the
benefit of snow data assimilation for runoff modeling in Alpine catchments, Hydrol. Earth Syst. Sci., 20, 3895–3905, https://doi.org/10.5194/hess-20-3895-2016, 2016. a
Grimaldi, S., Petroselli, A., and Serinaldi, F.: Design hydrograph estimation
in small and ungauged watersheds: continuous simulation method versus
event-based approach, Hydrol. Process., 26, 3124–3134,
https://doi.org/10.1002/hyp.8384, 2012a. a
Grimaldi, S., Petroselli, A., and Serinaldi, F.: A continuous simulation model for design-hydrograph estimation in small and ungauged watersheds,
Hydrolog. Sci. J., 57, 1035–1051, https://doi.org/10.1080/02626667.2012.702214, 2012b. a
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. a, b
Gringorten, I. I.: A plotting rule for extreme probability paper, J. Geophys. Res., 68, 813–814, https://doi.org/10.1029/JZ068i003p00813, 1963. a
Gupta, H., Kling, H., Yilmaz, K., and Martinez, G.: 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. a
Hartigan, J. A. and Wong, M. A.: Algorithm AS 136: A K-Means Clustering
Algorithm, J. Roy. Stat. Soc. Ser. C, 28, 100–108, 1979. a
Hazewinkel, M.: Upper and lower bounds, In: Encyclopedia of Mathematics, edited by: Hazewinkel, M., Springer Science + Business Media B.V./Kluwer Academic Publishers, the Netherlands, 1994. a
Hoes, O. and Nelen, F.: Continuous simulation or event-based modelling to
estimate flood probabilities?, WIT Trans. Ecol. Environ., 80, 3–10, https://doi.org/10.2495/WRM050011, 2005. a
Jost, G., Moore, R. D., Menounos, B., and Wheate, R.: Quantifying the
contribution of glacier runoff to streamflow in the upper Columbia River
Basin, Canada, Hydrol. Earth Syst. Sci., 16, 849–860, https://doi.org/10.5194/hess-16-849-2012, 2012. a
Katz, R. W., Parlange, M. B., and Naveau, P.: Statistics of extremes in
hydrology, Adv. Water Resour., 25, 1287–1304, 2002. a
Kavetski, D., Fenicia, F., Reichert, P., and Albert, C.: Signature-Domain
Calibration of Hydrological Models Using Approximate Bayesian Computation:
Theory and Comparison to Existing Applications, Water Resour. Res., 54,
4059–4083, https://doi.org/10.1002/2017WR020528, 2018. a
Kochanek, K., Renard, B., Arnaud, P., Aubert, Y., Lang, M., Cipriani, T., and
Sauquet, E.: A data-based comparison of flood frequency analysis methods used
in France, Nat. Hazards Earth Syst. Sci., 14, 295–308,
https://doi.org/10.5194/nhess-14-295-2014, 2014. a, b
Kuchment, L. and Gelfan, A.: Assessment of extreme flood characteristics based on a dynamic-stochastic model of runoff generation and the probable maximum discharge, J. Flood Risk Manage., 4, 115–127,
https://doi.org/10.1111/j.1753-318X.2011.01096.x, 2011. a
Kundzewicz, Z. W., Krysanova, V., Dankers, R., Hirabayashi, Y., Kanae, S.,
Hattermann, F. F., Huang, S., Milly, P. C. D., Stoffel, M., Driessen, P. P. J., Matczak, P., Quevauviller, P., and Schellnhuber, H.-J.: Differences in
flood hazard projections in Europe – their causes and consequences for
decision making, Hydrolog. Sci. J., 62, 1–14, https://doi.org/10.1080/02626667.2016.1241398, 2017. a
Lamb, R. and Kay, A. L.: Confidence intervals for a spatially generalized,
continuous simulation flood frequency model for Great Britain, Water Resour. Res., 40, W07501, https://doi.org/10.1029/2003WR002428, 2004. a, b
Lamb, R., Faulkner, D., Wass, P., and Cameron, D.: Have applications of
continuous rainfall–runoff simulation realized the vision for process-based
flood frequency analysis?, Hydrol. Process., 30, 2463–2481,
https://doi.org/10.1002/hyp.10882, 2016. a
Mediero, L., Jimenez-Alvarez, A., and Garrote, L.: Design flood hydrographs
from the relationship between flood peak and volume, Hydrol. Earth Syst. Sci., 14, 2495–2505, https://doi.org/10.5194/hess-14-2495-2010, 2010. a
Merz, R. and Blöschl, G.: A process typology of regional floods, Water
Resour. Res., 39, W1340, https://doi.org/10.1029/2002WR001952, 2003. a, b
MeteoSwiss: MeteoSwiss ground level monitoring networks, Switzerland, available at: http://www.meteoswiss.ch, last access: 12 February 2020. a
Müller-Thomy, H. and Sikorska-Senoner, A. E.: Does the complexity in
temporal precipitation disaggregation matter for a lumped hydrological
model?, Hydrolog. Sci. J., 64, 1453–1471, https://doi.org/10.1080/02626667.2019.1638926, 2019. a
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. a, b
Pramanik, N., Panda, R., and Sen, D.: Development of design flood hydrographs
using probability density functions, Hydrol. Process., 24, 415–428,
https://doi.org/10.1002/hyp.7494, 2010. a
Press, W., Teukolsky, S., Vetterling, W., and Flannery, B.: Numerical recipes
in C
R Core Team: R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, available at: https://www.R-project.org/ (last access: 16 December 2020), 2019. a
Schumann, A. H., Nijssen, D., and Pahlow, M.: Handling uncertainties of
hydrological loads in flood retention planning, Int. J. River Basin Manage., 8, 281–294, https://doi.org/10.1080/15715124.2010.512561, 2010. a
Schürch, M., Kozel, R., Biaggi, D., and Weingartner, R.: Typisierung von
Grundwasserregimen in der Schweiz – Konzept und Fallbeispiele, Gas Wasser Abwasser, 11/2010, 955–965, 2010. a
Seibert, J.: Estimation of Parameter Uncertainty in the HBV Model, Hydrol. Res., 28, 247–262, https://doi.org/10.2166/nh.1998.15, 1997. a
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. a
Seibert, J.: Reliability of model predictions outside calibration conditions,
Nord. Hydrol., 34, 477–492, https://doi.org/10.2166/nh.2003.0019, 2003. a
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. a
Serinaldi, F. and Grimaldi, S.: Synthetic Design Hydrographs Based on
Distribution Functions with Finite Support, J. Hydrol. Eng., 16, 434–446, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000339, 2011. a
Sikorska, A. and Seibert, J.: Appropriate temporal resolution of precipitation data for discharge modelling in pre-alpine catchments, Hydrolog. Sci. J., 61, 1–16, https://doi.org/10.1080/02626667.2017.1410279, 2018a. a
Sikorska, A. E. and Seibert, J.: Value of different precipitation data for
flood prediction in an alpine catchment: A Bayesian approach, J. Hydrol., 556, 961–971, https://doi.org/10.1016/j.jhydrol.2016.06.031, 2018b. a, b
Sikorska, A., Viviroli, D., and Seibert, J.: Effective precipitation duration
for runoff peaks based on catchment modelling, J. Hydrol., 556, 510–522, https://doi.org/10.1016/j.jhydrol.2017.11.028, 2018. a
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. a
Sikorska-Senoner, A. E. and Seibert, J.: Flood-type trend analysis for alpine
catchments, Hydrolog. Sci. J., 65, 1281–1299, https://doi.org/10.1080/02626667.2020.1749761, 2020. a
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. a, b
Tung, Y. K., Yeh, K. C., and Yang, J. C.: Regionalization of unit hydrograph
parameters: 1. Comparison of regression analysis techniques, Stoch. Hydrol. Hydraul., 11, 145–171, https://doi.org/10.1007/BF02427913, 1997. a
Viglione, A. and Blöschl, G.: On the role of storm duration in the mapping of rainfall to flood return periods, Hydrol. Earth Syst. Sci., 13, 205–216, https://doi.org/10.5194/hess-13-205-2009, 2009. a
Viviroli, D., Kauzlaric, M., Sikorska-Senoner, A. E., Staudinger, M., Keller,
L., Whealton, C., Nicolet, G., Evin, G., Raynaud, D., Chardon, J., Favre,
A.-C., Hingray, B., Weingartner, R., and Seibert, J.: Estimation of extremely
rare floods in a large river basin from continuous hydrometeorological
simulations, in: Proceedings of INTERPRAEVENT, 11–14 May 2020, Bergen, Norway, 2020. a
Weingartner, R. and Aschwanden, H.: Abflussregimes als Grundlage zur
Abschätzung von Mittelwerten des Abflusses in Hydrologischer Atlas der Schweiz, available at: https://hydrologischeratlas.ch/produkte/druckausgabe# (last access: 16 December 2020), 1992. a
Westerberg, I. K., Sikorska-Senoner, A. E., Viviroli, D., Vis, M., and Seibert, J.: Hydrologic Model Calibration with Uncertain Discharge Data, Hydrolog. Sci. J., https://doi.org/10.1080/02626667.2020.1735638, in press, 2020. a, b, c
Winter, B., Schneeberger, K., Dung, N., 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.
a
Zeimetz, F., Schaefli, B., Artigue, G., García Hernández, J., and Schleiss,
A.: A new approach to identify critical initial conditions for extreme flood
simulations based on deterministic and stochastic simulation, J. Hydrol. Eng., 23, 04018031, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001652, 2018. a, b
Zhang, L. and Singh Vijay, P.: Trivariate Flood Frequency Analysis Using the
Gumbel–Hougaard Copula, J. Hydrol. Eng., 12, 431–439,
https://doi.org/10.1061/(ASCE)1084-0699(2007)12:4(431), 2007. a
Short summary
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.
This work proposes methods for reducing the computational requirements of hydrological...
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