Articles | Volume 19, issue 1
https://doi.org/10.5194/nhess-19-19-2019
© Author(s) 2019. 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-19-19-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Jan 2019
Research article |
| 07 Jan 2019
Ensemble flood forecasting considering dominant runoff processes – Part 1: Set-up and application to nested basins (Emme, Switzerland)
Manuel Antonetti
Swiss Federal Institute for Forest, Snow and Landscape Research,
Birmensdorf, Switzerland
University of Zurich, Department of
Geography, Zurich, Switzerland
Christoph Horat
Swiss Federal Institute for Forest, Snow and Landscape Research,
Birmensdorf, Switzerland
ETH, Institute for Atmospheric and
Climate Science, Zurich, Switzerland
Ioannis V. Sideris
MeteoSwiss, Swiss Federal
Office of Meteorology and Climatology, Locarno, Switzerland
Massimiliano Zappa
CORRESPONDING AUTHOR
Swiss Federal Institute for Forest, Snow and Landscape Research,
Birmensdorf, Switzerland
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Christoph Horat, Manuel Antonetti, Katharina Liechti, Pirmin Kaufmann, and Massimiliano Zappa
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-119, https://doi.org/10.5194/nhess-2018-119, 2018
Publication in NHESS not foreseen
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Two forecasting chains are forced by information from numerical weather predictions. The framework presented in the companion paper by Antonetti et al. has been set up for the Swiss Verzasca basin. The forecasts obtained with the uncalibrated RGM-PRO model are compared to forecasts yielded by the calibrated PREVAH-HRU model. Results shows that the uncalibrated model is able to compete with the calibrated operational prediction system and was consistently superior for
high-flow situations.
Marvin Höge, Martina Kauzlaric, Rosi Siber, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Marius Günter Floriancic, Daniel Viviroli, Sibylle Wilhelm, Anna E. Sikorska-Senoner, Nans Addor, Manuela Brunner, Sandra Pool, Massimiliano Zappa, and Fabrizio Fenicia
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-127, https://doi.org/10.5194/essd-2023-127, 2023
Preprint under review for ESSD
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CAMELS-CH is a large-sample hydro-meteorological data set for hydrological Switzerland that enables hydrologic and climatic research at catchment level, spanning 40 years of data between 1st January 1981 and 31st December 2020. It comprises daily time series of stream flow, water levels, meteorological variables (precipitation, air temperature, etc.) and snow water equivalent data; annual time series of land cover change and glacier data; and static catchment attributes of various categories.
Louise J. Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 27, 1865–1889, https://doi.org/10.5194/hess-27-1865-2023, https://doi.org/10.5194/hess-27-1865-2023, 2023
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Hybrid forecasting systems combine data-driven methods with physics-based weather and climate models to improve the accuracy of predictions for meteorological and hydroclimatic events such as rainfall, temperature, streamflow, floods, droughts, tropical cyclones, or atmospheric rivers. We review recent developments in hybrid forecasting and outline key challenges and opportunities in the field.
Elham Rouholahnejad Freund, Massimiliano Zappa, and James W. Kirchner
Hydrol. Earth Syst. Sci., 24, 5015–5025, https://doi.org/10.5194/hess-24-5015-2020, https://doi.org/10.5194/hess-24-5015-2020, 2020
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Evapotranspiration (ET) is the largest flux from the land to the atmosphere and thus contributes to Earth's energy and water balance. Due to its impact on atmospheric dynamics, ET is a key driver of droughts and heatwaves. In this paper, we demonstrate how averaging over land surface heterogeneity contributes to substantial overestimates of ET fluxes. We also demonstrate how one can correct for the effects of small-scale heterogeneity without explicitly representing it in land surface models.
Marco Dal Molin, Mario Schirmer, Massimiliano Zappa, and Fabrizio Fenicia
Hydrol. Earth Syst. Sci., 24, 1319–1345, https://doi.org/10.5194/hess-24-1319-2020, https://doi.org/10.5194/hess-24-1319-2020, 2020
Matthias J. R. Speich, Massimiliano Zappa, Marc Scherstjanoi, and Heike Lischke
Geosci. Model Dev., 13, 537–564, https://doi.org/10.5194/gmd-13-537-2020, https://doi.org/10.5194/gmd-13-537-2020, 2020
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Climate change is expected to substantially affect natural processes, and simulation models are a valuable tool to anticipate these changes. In this study, we combine two existing models that each describe one aspect of the environment: forest dynamics and the terrestrial water cycle. The coupled model better described observed patterns in vegetation structure. We also found that including the effect of water availability on tree height and rooting depth improved the model.
Manuela I. Brunner, Daniel Farinotti, Harry Zekollari, Matthias Huss, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 23, 4471–4489, https://doi.org/10.5194/hess-23-4471-2019, https://doi.org/10.5194/hess-23-4471-2019, 2019
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River flow regimes are expected to change and so are extreme flow regimes. We propose two methods for estimating extreme flow regimes and show on a data set from Switzerland how these extreme regimes are expected to change. Our results show that changes in low- and high-flow regimes are distinct for rainfall- and melt-dominated regions. Our findings provide guidance in water resource planning and management.
Manuela I. Brunner, Katharina Liechti, and Massimiliano Zappa
Nat. Hazards Earth Syst. Sci., 19, 2311–2323, https://doi.org/10.5194/nhess-19-2311-2019, https://doi.org/10.5194/nhess-19-2311-2019, 2019
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The 2018 drought event had severe ecological, economic, and social impacts. How extreme was it in Switzerland? We addressed this question by looking at different types of drought, including meteorological, hydrological, agricultural, and groundwater drought, and at the two characteristics deficit and deficit duration. The return period estimates depended on the region, variable, and return period considered.
Samuel Monhart, Massimiliano Zappa, Christoph Spirig, Christoph Schär, and Konrad Bogner
Hydrol. Earth Syst. Sci., 23, 493–513, https://doi.org/10.5194/hess-23-493-2019, https://doi.org/10.5194/hess-23-493-2019, 2019
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Subseasonal streamflow forecasts have received increasing attention during the past decade, but their performance in alpine catchments is still largely unknown. We analyse the effect of a statistical correction technique applied to the driving meteorological forecasts on the performance of the resulting streamflow forecasts. The study shows the benefits of such hydrometeorological ensemble prediction systems and highlights the importance of snow-related processes for subseasonal predictions.
Peter Stucki, Moritz Bandhauer, Ulla Heikkilä, Ole Rössler, Massimiliano Zappa, Lucas Pfister, Melanie Salvisberg, Paul Froidevaux, Olivia Martius, Luca Panziera, and Stefan Brönnimann
Nat. Hazards Earth Syst. Sci., 18, 2717–2739, https://doi.org/10.5194/nhess-18-2717-2018, https://doi.org/10.5194/nhess-18-2717-2018, 2018
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A catastrophic flood south of the Alps in 1868 is assessed using documents and the earliest example of high-resolution weather simulation. Simulated weather dynamics agree well with observations and damage reports. Simulated peak water levels are biased. Low forest cover did not cause the flood, but such a paradigm was used to justify afforestation. Supported by historical methods, such numerical simulations allow weather events from past centuries to be used for modern hazard and risk analyses.
Manuel Antonetti and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 22, 4425–4447, https://doi.org/10.5194/hess-22-4425-2018, https://doi.org/10.5194/hess-22-4425-2018, 2018
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We developed 60 modelling chain combinations based on either experimentalists' (bottom-up) or modellers' (top-down) thinking and forced them with data of increasing accuracy. Results showed that the differences in performance arising from the forcing data were due to compensation effects. We also found that modellers' and experimentalists' concept of
model realismdiffers, and the level of detail a model should have to reproduce the processes expected must be agreed in advance.
Matthias J. R. Speich, Heike Lischke, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 22, 4097–4124, https://doi.org/10.5194/hess-22-4097-2018, https://doi.org/10.5194/hess-22-4097-2018, 2018
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To simulate the water balance of, e.g., a forest plot, it is important to estimate the maximum volume of water available to plants. This depends on soil properties and the average depth of roots. Rooting depth has proven challenging to estimate. Here, we applied a model assuming that plants dimension their roots to optimize their carbon budget. We compared its results with values obtained by calibrating a dynamic water balance model. In most cases, there is good agreement between both methods.
Christoph Horat, Manuel Antonetti, Katharina Liechti, Pirmin Kaufmann, and Massimiliano Zappa
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-119, https://doi.org/10.5194/nhess-2018-119, 2018
Publication in NHESS not foreseen
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Two forecasting chains are forced by information from numerical weather predictions. The framework presented in the companion paper by Antonetti et al. has been set up for the Swiss Verzasca basin. The forecasts obtained with the uncalibrated RGM-PRO model are compared to forecasts yielded by the calibrated PREVAH-HRU model. Results shows that the uncalibrated model is able to compete with the calibrated operational prediction system and was consistently superior for
high-flow situations.
Love Råman Vinnå, Alfred Wüest, Massimiliano Zappa, Gabriel Fink, and Damien Bouffard
Hydrol. Earth Syst. Sci., 22, 31–51, https://doi.org/10.5194/hess-22-31-2018, https://doi.org/10.5194/hess-22-31-2018, 2018
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Responses of inland waters to climate change vary on global and regional scales. Shifts in river discharge regimes act as positive and negative feedbacks in influencing water temperature. The extent of this effect on warming is controlled by the change in river discharge and lake hydraulic residence time. A shift of deep penetrating river intrusions from summer towards winter can potentially counteract the otherwise negative climate effects on deep-water oxygen content.
Konrad Bogner, Katharina Liechti, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 21, 5493–5502, https://doi.org/10.5194/hess-21-5493-2017, https://doi.org/10.5194/hess-21-5493-2017, 2017
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The enhanced availability of many different weather prediction systems nowadays makes it very difficult for flood and water resource managers to choose the most reliable and accurate forecast. In order to circumvent this problem of choice, different approaches for combining this information have been applied at the Sihl River (CH) and the results have been verified. The outcome of this study highlights the importance of forecast combination in order to improve the quality of forecast systems.
Daniele Nerini, Nikola Besic, Ioannis Sideris, Urs Germann, and Loris Foresti
Hydrol. Earth Syst. Sci., 21, 2777–2797, https://doi.org/10.5194/hess-21-2777-2017, https://doi.org/10.5194/hess-21-2777-2017, 2017
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Stochastic generators are effective tools for the quantification of uncertainty in a number of applications with weather radar data, including quantitative precipitation estimation and very short-term forecasting. However, most of the current stochastic rainfall field generators cannot handle spatial non-stationarity. We propose an approach based on the short-space Fourier transform, which aims to reproduce the local spatial structure of the observed rainfall fields.
Manuel Antonetti, Rahel Buss, Simon Scherrer, Michael Margreth, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 20, 2929–2945, https://doi.org/10.5194/hess-20-2929-2016, https://doi.org/10.5194/hess-20-2929-2016, 2016
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We evaluated three automatic mapping approaches of dominant runoff processes (DRPs) with different complexity using similarity measures and synthetic runoff simulations. The most complex DRP maps were the most similar to the reference maps. Runoff simulations derived from the simpler DRP maps were more uncertain due to inaccuracies in the input data and rather coarse simplifications in the mapping criteria. It would thus be worthwhile trying to obtain DRP maps that are as realistic as possible.
Lieke Melsen, Adriaan Teuling, Paul Torfs, Massimiliano Zappa, Naoki Mizukami, Martyn Clark, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 20, 2207–2226, https://doi.org/10.5194/hess-20-2207-2016, https://doi.org/10.5194/hess-20-2207-2016, 2016
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In this study we investigated the sensitivity of a large-domain hydrological model for spatial and temporal resolution. We evaluated the results on a mesoscale catchment in Switzerland. Our results show that the model was hardly sensitive for the spatial resolution, which implies that spatial variability is likely underestimated. Our results provide a motivation to improve the representation of spatial variability in hydrological models in order to increase their credibility on a smaller scale.
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.
M. Zappa, N. Andres, P. Kienzler, D. Näf-Huber, C. Marti, and M. Oplatka
Proc. IAHS, 370, 235–242, https://doi.org/10.5194/piahs-370-235-2015, https://doi.org/10.5194/piahs-370-235-2015, 2015
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The most severe threat for the city of Zürich (Switzerland) are flash-floods from the small Sihl river. An assessment using a rainfall-runoff model evaluated more than 40000 extreme flood scenarios. These scenarios identified deficits for the safety of Zürich. The combination of different structural and flood management measures can lead to an optimal safety also in case of unfavorable initial conditions. Pending questions concern the costs, political decisions and the environmental matters.
M. Zappa, T. Vitvar, A. Rücker, G. Melikadze, L. Bernhard, V. David, M. Jans-Singh, N. Zhukova, and M. Sanda
Proc. IAHS, 369, 25–30, https://doi.org/10.5194/piahs-369-25-2015, https://doi.org/10.5194/piahs-369-25-2015, 2015
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A research effort involving Switzerland, Georgia and the Czech Republic has been launched to evaluate the relation between snowpack and summer low flows. Two rainfall-runoff models will simulate over 10 years of snow hydrology and runoff in nested streams. Processes involved will be also evaluated by mean by means of high frequency sampling of the environmental isotopes 18O and 2H. The paper presents first analysis of available datasets of 18O, 2H, discharge, snowpack and modelling experiments.
P. Ronco, M. Bullo, S. Torresan, A. Critto, R. Olschewski, M. Zappa, and A. Marcomini
Hydrol. Earth Syst. Sci., 19, 1561–1576, https://doi.org/10.5194/hess-19-1561-2015, https://doi.org/10.5194/hess-19-1561-2015, 2015
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The aim of the paper is the application of the KULTURisk regional risk assessment (KR-RRA) methodology, presented in the companion paper (Part 1), to the Sihl River basin, in northern Switzerland. Flood-related risks have been assessed for different receptors lying in the Sihl river valley including the city of Zurich, which represents a typical case of river flooding in an urban area, by means of a calibration process of the methodology to the site-specific context and features.
S. Jörg-Hess, F. Fundel, T. Jonas, and M. Zappa
The Cryosphere, 8, 471–485, https://doi.org/10.5194/tc-8-471-2014, https://doi.org/10.5194/tc-8-471-2014, 2014
K. Liechti, L. Panziera, U. Germann, and M. Zappa
Hydrol. Earth Syst. Sci., 17, 3853–3869, https://doi.org/10.5194/hess-17-3853-2013, https://doi.org/10.5194/hess-17-3853-2013, 2013
F. Fundel, S. Jörg-Hess, and M. Zappa
Hydrol. Earth Syst. Sci., 17, 395–407, https://doi.org/10.5194/hess-17-395-2013, https://doi.org/10.5194/hess-17-395-2013, 2013
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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.
Francisco Rodrigues do Amaral, Nicolas Gratiot, and Thierry Pellarin
EGUsphere, https://doi.org/10.5194/egusphere-2023-396, https://doi.org/10.5194/egusphere-2023-396, 2023
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We investigate typhoon Usagi's impact on the Saigon river traversing Ho Chi Minh City, Vietnam. We propose an in-depth analysis of the effect on water levels and discharge of the Saigon river and its connection to the extreme precipitation and coastal storm surge. It was found that precipitation presents a 10 hour time lag to the peak river discharge which evacuates only 1.5 % of available water. Additionally, it was found that the coastal tides control the river even during the event.
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.
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.
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.
Clément Lutringer, Adrien Poupardin, Philippe Sergent, Abdelkrim Bennabi, and Jena Jeong
EGUsphere, https://doi.org/10.5194/egusphere-2022-1204, https://doi.org/10.5194/egusphere-2022-1204, 2022
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We developped a system able to to predict, knowing the appropriate characteristics of the flood defence structure and sea state, the return periods of potentially dangerous events as well as a ranking of parameters by order of uncertainty. The model is a combination of statistical and empirical methods that have been applied to a mediterranean earthen dyke. This shows that the most important characteristics of the dyke are its geometrical features such as its height slope angles.
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.
Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon, and Wolfgang Wagner
EGUsphere, https://doi.org/10.5194/egusphere-2022-1061, https://doi.org/10.5194/egusphere-2022-1061, 2022
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In August and September 2022, millions of people were impacted by a severe flood event in Pakistan. Since many roads and other infrastructure were destroyed, satellite data was the only way of providing large scale information of the flood's impact. Based on the flood mapping algorithm developed at Technische Universität Wien (TU Wien), we mapped an area of 30,492 km2 to be flooded at least once during the study's time period. This affected area matches about the total area of Belgium.
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.
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.
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.
Cited articles
Alfieri, L., Velasco, D., and Thielen, J.: Flash flood detection through a
multi-stage probabilistic warning system for heavy precipitation events, Adv.
Geosci., 29, 69–75, https://doi.org/10.5194/adgeo-29-69-2011, 2011. a
Andres, N., Badoux, A., and Hegg, C.: Unwetterschäden in der Schweiz im
Jahre 2014, Wasser Energie Luft, 107, 47–54, 2015. a
Antonetti, M., Buss, R., Scherrer, S., Margreth, M., and Zappa, M.: Mapping
dominant runoff processes: an evaluation of different approaches using
similarity measures and synthetic runoff simulations, Hydrol. Earth Syst.
Sci., 20, 2929–2945, https://doi.org/10.5194/hess-20-2929-2016, 2016a. a, b, c, d, e, f
Antonetti, M., Scherrer, S., Kienzler, P., Margreth, M., and Zappa, M.:
Überprüfung von einem prozessnahen Abflussbildungsmodul auf der Hangskale
und für klein- und mesoskalige Gebiete, Forum für Hydrologie und
Wasserbewirtschaftung, available at:
ftp://ftp.wsl.ch/pub/antonetti/Prozessbasierte_Niederschlags-Abfluss-Modellierung/Anhang_J_Antonetti_etal_ForumHyWa_36.16.pdf,
last access: 18 December 2018, 2016b. a
Antonetti, M. and Zappa, M.: How can expert knowledge increase the realism of
conceptual hydrological models? A case study based on the concept of dominant
runoff process in the Swiss Pre-Alps, Hydrol. Earth Syst. Sci., 22,
4425–4447, https://doi.org/10.5194/hess-22-4425-2018, 2018. a, b, c, d, e, f, g, h, i, j, k, l, m
Beven, K.: Prophecy, reality and uncertainty in distributed hydrological
modelling, Adv. Water Resour., 16, 41–51, 1993. a
BFS: Die Bodennutzung der Schweiz. Arealstatistik 1979/85, Bundesamt für
Statistik, Bern, available at:
https://www.bfs.admin.ch/bfs/de/home/statistiken/raum-umwelt/erhebungen/area/geschichte/area-1979-85.html
(last access: 20 December 2018), 1995. a
Blöschl, G., Komma, J., and Hasenauer, S.: Hydrological downscaling of
soil
moisture, Final Report to the H-SAF (Hydrology Satellite Application
Facility) via the Austrian Central Institute for Meteorology and Geodynamics
(ZAMG),
available at: http://hsaf.meteoam.it/documents/visiting-scientist/HSAF_VS08_02_Final_Report.pdf
(last access: 18 December 2018), 2009. a
Braud, I., Roux, H., Anquetin, S., Maubourguet, M.-M., Manus, C., Viallet,
P.,
and Dartus, D.: The use of distributed hydrological models for the Gard
2002 flash flood event: Analysis of associated hydrological processes,
J. Hydrol., 394, 162–181, 2010. a
Bremicker, M.: Das Wasserhaushaltsmodell LARSIM – Modellgrundlagen und
Anwendungsbeispiele, Freiburger Schriften zur Hydrologie, 11, available at:
http://www.hydrology.uni-freiburg.de/publika/band11.html (last access: 20 December 2018), 2000. a
Bruen, M., Krahe, P., Zappa, M., Olsson, J., Vehvilainen, B., Kok, K., and
Daamen, K.: Visualizing flood forecasting uncertainty: some current European
EPS platforms – COST731 working group 3, Atmos. Sci. Lett., 11,
92–99, https://doi.org/10.1002/asl.258, 2010. a
Carpenter, T. M., Sperfslage, J. A., Georgakakos, K. P., Sweeney, T., and
Fread, D. L.: National threshold runoff estimation utilizing GIS in support
of operational flash flood warning systems, J. Hydrol., 224,
21–44, https://doi.org/10.1016/S0022-1694(99)00115-8, 1999. a
Collier, C. and Fox, N.: Assessing the flooding susceptibility of river
catchments to extreme rainfall in the United Kingdom, International Journal
of River Basin Management, 1, 225–235, https://doi.org/10.1080/15715124.2003.9635209, 2003. a
Collier, C. G.: Flash flood forecasting: What are the limits of
predictability?, Q. J. Roy. Meteor. Soc., 133,
3–23, https://doi.org/10.1002/qj.29, 2007. a, b, c, d
Delrieu, G., Nicol, J., Yates, E., Kirstetter, P., Creutin, J., Anquetin, S.,
Obled, C., Saulnier, G., Ducrocq, V., Gaume, E., Payrastre, O., Andrieu, H.,
Ayral, P., Bouvier, C., Neppel, L., Livet, M., Lang, M., du-Châtelet, J. P.,
Walpersdorf, A., and Wobrock, W.: The
catastrophic flash-flood event of 8–9 September 2002 in the Gard Region,
France: A first case study for the Cévennes–Vivarais
Mediterranean Hydrometeorological Observatory, J. Hydrometeorol., 6, 34–52,
2005. a
Fenicia, F., Kavetski, D., and Savenije, H. H. G.: Elements of a flexible
approach for conceptual hydrological modeling: 1. Motivation and theoretical
development, Water Resour. Res., 47, W11510, https://doi.org/10.1029/2010WR010174,
2011. a
Ferro, G.: Assessment of major and minor events that occurred in Italy
during
the last century using a disaster severity scale score, Prehospital and
Disaster Medicine, 20, 316–323, 2005. a
Gaume, E., Livet, M., Desbordes, M., and Villeneuve, J. P.: Hydrological
analysis of the river Aude, France, flash flood on 12 and 13 November 1999,
J. Hydrol., 286, 135–154, https://doi.org/10.1016/j.jhydrol.2003.09.015,
2004. a
Gaume, E., Bain, V., Bernardara, P., Newinger, O., Barbuc, M., Bateman, A.,
Blaskovicova, L., Blöschl, G., Borga, M., Dumitrescu, A., Daliakopoulos, I.,
Garcia, J., Irimescu, A., Kohnova, S., Koutroulis, A., Marchi, L., Matreata,
S., Medina, V., Preciso, E., Sempere-Torres, D., Stancalie, G., Szolgay, J.,
Tsanis, I., Velasco, D., and Viglione, A.: A compilation of data on European
flash floods, J. Hydrol., 367, 70–78,
https://doi.org/10.1016/j.jhydrol.2008.12.028, 2009. a, b, c, d
Georgakakos, K. P.: A generalized stochastic hydrometeorological model for
flood and flash-flood forecasting, Water Resour. Res., 22, 2096–2106,
https://doi.org/10.1029/WR022i013p02096, 1986. a
Georgakakos, K. P.: Analytical results for operational flash flood guidance,
J. Hydrol., 317, 81–103, https://doi.org/10.1016/j.jhydrol.2005.05.009,
2006. a
Germann, U., Galli, G., Boscacci, M., and Bolliger, M.: Radar precipitation
measurement in a mountainous region, Q. J. Roy. Meteor. Soc., 132, 1669–1692, https://doi.org/10.1256/qj.05.190, 2006. a
GIS data: Federal Office of Topography swisstopo, available at:
https://www.swisstopo.admin.ch/, last access: 22 January 2017. a
Gupta, H. V., Kling, H., Yilmaz, K., and Martinez-Baquero, 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
Gurtz, J., Zappa, M., Jasper, K., Lang, H., Verbunt, M., Badoux, A., and
Vitvar, T.: A comparative study in modelling runoff and its components in two
mountainous catchments, Hydrol. Process., 17, 297–311,
https://doi.org/10.1002/hyp.1125, 2003. a
Guzzetti, F., Stark, C., and Salvati, P.: Evaluation of flood and landslide
risk to the population in Italy, Environ. Manage., 36, 15–36,
https://doi.org/10.1007/s00267-003-0257-1, 2005. a
Haag, I., Luce, A., Henn, N., and Demuth, N.: Berücksichtigung räumlich
differenzierter Abflussprozesskarten im Wasserhaushaltsmodell LARSIM, Forum
für Hydrologie und Wasserbewirtschaftung, 36.16, 51–62,
https://doi.org/10.14617/for.hydrol.wasbew.36.16, 2016. a
Heber Green, W. and Ampt, G.: Studies on Soil Physics, J. Agr. Sci., 4,
1–24,
https://doi.org/10.1017/S0021859600001441, 1911. a
Horat, C., Antonetti, M., Liechti, K., Kaufmann, P., and Zappa, M.: Ensemble
flood forecasting considering dominant runoff processes: II. Benchmark
against a state-of-the-art model-chain (Verzasca, Switzerland), Nat. Hazards
Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-119, in review, 2018. a, b, c
Huet, P., Martin, X., Prime, J.-L., Foin, P., Laurain, C., and Cannard, P.:
Retour d'expériences des crues de septembre 2002 dans les
départements du Gard, de l'Hérault, du Vaucluse, des
bouches du Rhône, de l'Ardèche et de la Drôme,
Inspection générale de l'Environnement, Paris, France, p. 124,
2003. a
Javelle, P., Fouchier, C., Arnaud, P., and Lavabre, J.: Flash flood warning
at
ungauged locations using radar rainfall and antecedent soil moisture
estimations, J. Hydrol., 394, 267–274, 2010. a
Jörg-Hess, S., Griessinger, N., and Zappa, M.: Probabilistic Forecasts of
Snow Water Equivalent and Runoff in Mountainous Areas, J. Hydrometeorol., 16, 2169–2186, 2015. a
Kienzler, P. M. and Naef, F.: Temporal variability of subsurface stormflow
formation, Hydrol. Earth Syst. Sci., 12, 257–265,
https://doi.org/10.5194/hess-12-257-2008, 2008. a, b
Klasa, C., Arpagaus, M., Walser, A., and Wernli, H.: An evaluation of the
convection?permitting ensemble COSMO-E for three contrasting precipitation
events in Switzerland, Q. J. Roy. Meteor. Soc., 144, 744–764,
https://doi.org/10.1002/qj.3245, 2018. a
Lefrou, C., Martin, X., Labarthe, J.-P., Varret, J., Mazière, B.,
Tordjman, R., and Feunteun, R.: Les crues des 11, 12 et 13 novembre 1999,
dans les départements de l'Aude, l'Herault, les Pyrennées
Orientales et du Tarn, Inspection générale de
l'Environnement, Paris, France, p. 140, 2000. a
Liechti, K.: Starke Gewitter im Juni 2007 – Einordnung und hydrologische
Modellierung für die Regionen Huttwil (BE) und Einsiedeln (SZ), Master
thesis at Department of Geography, University of Zurich, 2008. a
Lopez Bustos, A.: Resumen y conclusiones de los estudios sobre avenidas del
Valles en 1962, Instituto de Hidrologia, Technical Report, Madrid, 1964. a
Lumassegger, S., Achleitner, S., Kohl, B., Formayer, H., Strehz, A., and
Einfalt, T.: Auswirkungen räumlich variabler Niederschläge auf die
Sturzflutsimulation, Forum für Hydrologie und Wasserbewirtschaftung, 36.16,
131–139, https://doi.org/10.14617/for.hydrol.wasbew.36.16, 2016. a
Mani, P., Dobmann, J., Lüthi, A., and Gerber, B.: Frühwarnsystem
für kleine Einzugsgebiete – Ein Dispositionsansatz, 12th Congress
Interpraevent 2012 – extended abstracts, 519–530,
available at:
http://www.interpraevent.at/palm-cms/upload_files/Publikationen/Tagungsbeitraege/2012_1_519.pdf, last acess: 18 December 2018, 2012. a, b
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. a
Margreth Map: SoilCom, available at: http://www.soilcom.ch, last access: 18 December
2018. a
MeteoSwiss: COSMO forecasting system,
available at: https://www.meteoswiss.admin.ch/home/measurement-and-forecasting-systems/warning-and-forecasting-systems/cosmo-forecasting-system.html, last access: 28 October 2018. a
Monteith, J. L.: Evaporation and the Environment, 19th Symposia of the
Society for Experimental Biology, 19, 205–234, 1965. a
Nash, J. and Sutcliffe, J.: 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. a
Panziera, L., Gabella, M., Zanini, S., Hering, A., Germann, U., and Berne,
A.: A radar-based regional extreme rainfall analysis to derive the thresholds
for a novel automatic alert system in Switzerland, Hydrol. Earth Syst. Sci.,
20, 2317–2332, https://doi.org/10.5194/hess-20-2317-2016, 2016. a
Paschalis, A., Fatichi, S., Molnar, P., Rimkus, S., and Burlando, P.: On the
effects of small scale space-time variability of rainfall on basin flood
response, J. Hydrol., 514, 313–327, 2014. a
Penman, H. L.: Natural Evaporation from Open Water, Bare Soil and Grass, P.
Roy. Soc. Lond. A Mat., 193, 120–145, https://doi.org/10.1098/rspa.1948.0037, 1948. a
Perrin, C., Michel, C., and Andréassian, V.: Does a large number of
parameters
enhance model performance? Comparative assessment of common catchment model
structures on 429 catchments, J. Hydrol., 242, 275–301,
https://doi.org/10.1016/S0022-1694(00)00393-0, 2001. a
Philipp, A., Kerl, F., Büttner, U., Metzkes, C., Singer, T., Wagner, M.,
and
Schütze, N.: Small-scale (flash) flood early warning in the light of
operational requirements: opportunities and limits with regard to user
demands, driving data, and hydrologic modeling techniques, P. Int. Ass. Hydrol. Sci., 373, 201–208,
https://doi.org/10.5194/piahs-373-201-2016, 2016. a
Pool, S., Viviroli, D., and Seibert, J.: Prediction of hydrographs and
flow-duration curves in almost ungauged catchments: Which runoff measurements
are most informative for model calibration?, J. Hydrol., 554, 613–622, https://doi.org/10.1016/j.jhydrol.2017.09.037, 2017. a
Precipitation data (i.e. CombiPrecip, COSMO and rain gauge data): Federal
Office of Meteorology and Climatology MeteoSwiss, available at:
http://www.meteoswiss.admin.ch/, last access: 22 January 2017. a
Rossa, A., Liechti, K., Zappa, M., Bruen, M., Germann, U., Haase, G., Keil,
C.,
and Krahe, P.: The COST 731 Action: A review on uncertainty propagation in
advanced hydro-meteorological forecast systems, Atmos. Res., 100,
150–167, https://doi.org/10.1016/j.atmosres.2010.11.016, 2011. a
Rossa, A. M., Laudanna Del Guerra, F., Borga, M., Zanon, F., Settin, T.,
and
Leuenberger, D.: Radar-driven high-resolution hydro-meteorological forecasts
of the 26 September 2007 Venice flash flood, J. Hydrol., 394,
230–244, https://doi.org/10.1016/j.jhydrol.2010.08.035, 2010. a
Runoff measurements (Emme, Ilfis): Swiss Federal Research Institute WSL,
available at: http://www.bafu.admin.ch, last access: 22 January 2017a. a
Runoff measurements (Trueb): Bau-, Verkehrs- und Energiedirektion of the
Canton of Bern, available at: http://www.bve.be.ch, last access: 22
January 2017b. a
Scherrer, S., Naef, F., Faeh, A. O., and Cordery, I.: Formation of runoff at
the hillslope scale during intense precipitation, Hydrol. Earth Syst. Sci.,
11, 907–922, https://doi.org/10.5194/hess-11-907-2007, 2007. a
Scherrer AG: Massgebende Hochwasserabflüsse an der Ilfis und an
verschiedenen Seitenbächen, Bericht im Auftrag vom Tiefbauamt des Kt. BE,
Oberingenieurkreis IV, Verkehr und Infrastruktur des Kt. LU., Lucerne, 2012. a
Schmocker-Fackel, P., Naef, F., and Scherrer, S.: Identifying runoff
processes on the plot and catchment scale, Hydrol. Earth Syst. Sci., 11,
891–906, https://doi.org/10.5194/hess-11-891-2007, 2007. a, b, c
Seiller, G., Anctil, F., and Roy, R.: Design and experimentation of an
empirical multistructure framework for accurate, sharp and reliable
hydrological ensembles, J. Hydrol., 552, 313–340,
https://doi.org/10.1016/j.jhydrol.2017.07.002, 2017. a
Sideris, I. V., Gabella, M., Erdin, R., and Germann, U.: Real-time
radar-rain-gauge merging using spatio-temporal co-kriging with external drift
in the alpine terrain of Switzerland, Q. J. Roy. Meteor. Soc., 140, 1097–1111, https://doi.org/10.1002/qj.2188, 2014. a, b
Swiss Federal Research Institute WSL: Process-based runoff generation module
RGM-PRO, available at: http://www.wsl.ch, last access: 18 December 2018. a
Velázquez, J. A., Anctil, F., Ramos, M. H., and Perrin, C.: Can a
multi-model approach improve hydrological ensemble forecasting? A study on 29
French catchments using 16 hydrological model structures, Adv. Geosci., 29,
33–42, https://doi.org/10.5194/adgeo-29-33-2011, 2011.
a, b
Viviroli, D., Gurtz, J., and Zappa, M.: The Hydrological Modelling System
PREVAH, Geographica Bernensia P40, Bern, Institute of Geography, University
of Bern, available at: http://www.hydrologie.unibe.ch/PREVAH (last access: 18 December 20018), 2007. a
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. Modell. Softw., 24, 1209–1222,
https://doi.org/10.1016/j.envsoft.2009.04.001, 2009. a, b, c
Zappa, M., Rotach, M. W., Arpagaus, M., Dorninger, M., Hegg, C., Montani, A.,
Ranzi, R., Ament, F., Germann, U., Grossi, G., Jaun, S., Rossa, A., Vogt, S.,
Walser, A., Wehrhan, J., and Wunram, C.: MAP D-PHASE: Real-time
demonstration of hydrological ensemble prediction systems, Atmos. Sci. Lett., 9, 80–87, https://doi.org/10.1002/asl.183, 2008. a, b, c, d
Zappa, M., Bernhard, L., Spirig, C., Pfaundler, M., Stahl, K., Kruse, S.,
Seidl, I., and Stähli, M.: A prototype platform for water resources
monitoring and early recognition of critical droughts in Switzerland, Proc.
IAHS, 523, 804–821, 2014. a
Short summary
To predict timing and magnitude peak run-off, meteorological and calibrated hydrological models are commonly coupled. A flash-flood forecasting chain is presented based on a process-based run-off generation module with no need for calibration. This chain has been evaluated using data for the Emme catchment (Switzerland). The outcomes of this study show that operational flash predictions in ungauged basins can benefit from the use of information on run-off processes.
To predict timing and magnitude peak run-off, meteorological and calibrated hydrological models...
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