Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-425-2020
© 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-20-425-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2020
Research article |
| 07 Feb 2020
| 07 Feb 2020
Evaluation of two hydrometeorological ensemble strategies for flash-flood forecasting over a catchment of the eastern Pyrenees
Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, Toulouse, France
Arnau Amengual
Grup de Meteorologia, Departament de Física, Universitat de les
Illes Balears, Palma, Majorca, Spain
Romu Romero
Grup de Meteorologia, Departament de Física, Universitat de les
Illes Balears, Palma, Majorca, Spain
Ernest Bladé
Institut FLUMEN, E.T.S. d'Eng. De Camins, Canals i Ports de Barcelona, Universitat Politècnica de Catalunya, Barcelona, Spain
Marcos Sanz-Ramos
Institut FLUMEN, E.T.S. d'Eng. De Camins, Canals i Ports de Barcelona, Universitat Politècnica de Catalunya, Barcelona, Spain
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Miroslav Spano and Jaromir Riha
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The study examines the effects of hydrogeological hazard due to construction of the Skalička Dam near the Hranice Karst on groundwater discharges and water levels in the local karst formations downstream. A simplified pipe model was used to analyze the impact of two dam layouts: lateral and through-flow reservoirs. Results show that the through-flow scheme more significantly influences water levels and the discharge of mineral water, while the lateral layout has only negligible impact.
Rudolf Brázdil, Dominika Faturová, Monika Šulc Michalková, Jan Řehoř, Martin Caletka, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 3663–3682, https://doi.org/10.5194/nhess-24-3663-2024, https://doi.org/10.5194/nhess-24-3663-2024, 2024
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Flash floods belong to natural hazards that can be enhanced in frequency, intensity, and impact during recent climate change. This paper presents a complex analysis of spatiotemporal variability and human impacts (including material damage and fatalities) of flash floods in the Czech Republic for the 2001–2023 period. The analysis generally shows no statistically significant trends in the characteristics analyzed.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
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Machine learning (ML) algorithms have increasingly received attention for modeling flood events. However, there are concerns about the transferability of these models (their capability in predicting out-of-sample and unseen events). Here, we show that ML models can be transferable for hindcasting maximum river flood depths across extreme events (four hurricanes) in a large coastal watershed (HUC6) when informed by the spatial distribution of pertinent features and underlying physical processes.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci., 24, 3423–3443, https://doi.org/10.5194/nhess-24-3423-2024, https://doi.org/10.5194/nhess-24-3423-2024, 2024
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This paper shows the first public and systematic dataset of flood episodes referring to the entire Pyrenees massif, at municipal scale, named PIRAGUA_flood. Of the 181 flood events (1981–2015) that produced 154 fatalities, 36 were transnational, with the eastern part of the massif most affected. Dominant weather types show a southern component flow, with a talweg on the Iberian Peninsula and a depression in the vicinity. A positive and significant trend was found in Nouvelle-Aquitaine.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
Nat. Hazards Earth Syst. Sci., 24, 3315–3335, https://doi.org/10.5194/nhess-24-3315-2024, https://doi.org/10.5194/nhess-24-3315-2024, 2024
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern United States, in climate data. Analyzing the Susquehanna River basin, this technique identified known events affecting river flow. Comparing four gridded datasets revealed variations in event frequency and severity, driven by different snowmelt and runoff estimates. This highlights the need for accurate climate data in flood management and risk prediction for these compound extremes.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
Nat. Hazards Earth Syst. Sci., 24, 3155–3172, https://doi.org/10.5194/nhess-24-3155-2024, https://doi.org/10.5194/nhess-24-3155-2024, 2024
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Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
Shahin Khosh Bin Ghomash, Patricio Yeste, Heiko Apel, and Viet Dung Nguyen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-77, https://doi.org/10.5194/nhess-2024-77, 2024
Revised manuscript accepted for NHESS
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Hydrodynamic models are vital for predicting floods, like those in Germany's Ahr region in July 2021. We refine an RIM2D model for the Ahr region, analyzing the impact of various factors using Monte Carlo simulations. Accurate parameter assignment is crucial, with channel roughness and resolution playing key roles. Coarser resolutions are suitable for flood extent predictions, aiding early warning systems. Our work provides guidelines for optimizing hydrodynamic models in the Ahr region.
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
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Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
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Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
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Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
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This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
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Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
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Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
Belinda Rhein and Heidi Kreibich
EGUsphere, https://doi.org/10.5194/egusphere-2024-2066, https://doi.org/10.5194/egusphere-2024-2066, 2024
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The 2021 flood killed 190 people in Germany, 134 of them in the Ahr valley, making it the deadliest flood in recent German history. The flash flood was extreme in terms of water levels, flow velocities and flood extent, early warning and evacuation were inadequate. Many died on the ground floor or in the street, with older and impaired individuals especially vulnerable. Clear warnings should urge people to seek safety rather than save belongings, and timely evacuations are essential.
Nazir Ahmed Bazai, Mehtab Alam, Peng Cui, Wang Hao, Adil Poshad Khan, Muhammad Waseem, Yao Shunyu, Muhammad Ramzan, Li Wanhong, and Tashfain Ahmed
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-95, https://doi.org/10.5194/nhess-2024-95, 2024
Revised manuscript accepted for NHESS
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This study examines the 2022 monsoon in the Swat River basin, Pakistan, where record rainfall exceeded averages by 7–8 %, causing catastrophic debris flows and floods. These events worsened challenges for low-income communities, resulting in extensive damage and financial instability. Field investigations, remote sensing, and simulations identified deforestation and steep topography as key factors. The study advocates for disaster mitigation, reforestation, and better land use planning.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
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Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
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On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
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To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
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A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
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Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
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INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
Nat. Hazards Earth Syst. Sci., 24, 1607–1634, https://doi.org/10.5194/nhess-24-1607-2024, https://doi.org/10.5194/nhess-24-1607-2024, 2024
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Mountain river confluences are hazardous during localized flooding events. A physical model was used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and (to a lesser degree) the tributary sediment concentration control morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
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The most recent drought in the UK was declared in summer 2022. We pooled a large sample of plausible winters from seasonal hindcasts and grouped them into four clusters based on their atmospheric circulation configurations. Drought storylines representative of what the drought could have looked like if winter 2022/23 resembled each winter circulation storyline were created to explore counterfactuals of how bad the 2022 drought could have been over winter 2022/23 and beyond.
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024, https://doi.org/10.5194/nhess-24-873-2024, 2024
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The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697, https://doi.org/10.5194/nhess-24-681-2024, https://doi.org/10.5194/nhess-24-681-2024, 2024
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This study presents a new version of a framework which allows us to model water balance components at any site on a local scale. Compared with the first version, the second incorporates new datasets used to set up and force the model. In particular, we highlight the ability of the framework to provide seasonal forecasts. This gives potential stakeholders (farmers, foresters, policymakers, etc.) the possibility to forecast, for example, soil moisture drought and thus apply the necessary measures.
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024, https://doi.org/10.5194/nhess-24-609-2024, 2024
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The present study focuses on an in-depth analysis of floods in the lower section of the Tagus River from a hydrodynamic perspective by means of the Iber+ numerical model and on the development of dam operating strategies to mitigate flood episodes using the exceptional floods of February 1979 as a benchmark. The results corroborate the model's capability to evaluate floods in the study area and confirm the effectiveness of the proposed strategies to reduce flood impact in the lower Tagus valley.
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024, https://doi.org/10.5194/nhess-24-539-2024, 2024
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We present a global flood model built using a new terrain data set and evaluated in the Central Highlands of Vietnam.
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024, https://doi.org/10.5194/nhess-24-501-2024, 2024
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CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment) is a new physically based and spatially distributed rainfall-runoff model. The main novelties consist of reproducing rainfall-induced geo-hydrological hazards such as shallow landslide, debris flow and watershed erosion through a multi-hazard approach. CRHyME was written in Python, works at a high spatial and temporal resolution, and is a tool suitable for quantifying extreme rainfall consequences at the basin scale.
Leanne Archer, Jeffrey Neal, Paul Bates, Emily Vosper, Dereka Carroll, Jeison Sosa, and Daniel Mitchell
Nat. Hazards Earth Syst. Sci., 24, 375–396, https://doi.org/10.5194/nhess-24-375-2024, https://doi.org/10.5194/nhess-24-375-2024, 2024
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We model hurricane-rainfall-driven flooding to assess how the number of people exposed to flooding changes in Puerto Rico under the 1.5 and 2 °C Paris Agreement goals. Our analysis suggests 8 %–10 % of the population is currently exposed to flooding on average every 5 years, increasing by 2 %–15 % and 1 %–20 % at 1.5 and 2 °C. This has implications for adaptation to more extreme flooding in Puerto Rico and demonstrates that 1.5 °C climate change carries a significant increase in risk.
Luis Cea, Manuel Álvarez, and Jerónimo Puertas
Nat. Hazards Earth Syst. Sci., 24, 225–243, https://doi.org/10.5194/nhess-24-225-2024, https://doi.org/10.5194/nhess-24-225-2024, 2024
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Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024, https://doi.org/10.5194/nhess-24-199-2024, 2024
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This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
Laurent Pascal Malang Diémé, Christophe Bouvier, Ansoumana Bodian, and Alpha Sidibé
EGUsphere, https://doi.org/10.5194/egusphere-2023-2458, https://doi.org/10.5194/egusphere-2023-2458, 2024
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We propose a decision support tool that detect the occurrence of flooding by drainage overflow, with sufficiently short calculation times. The simulations are based on a drainage topology on 5m grids, incorporating changes to surface flows induced urbanization. The method can be used for flood mapping in project mode and in real time. It applies to the present situation as well as to any scenario involving climate change or urban growth.
Cited articles
Agence de l'eau Rhône Méditerranée & Corse: Étude de
détermination des volumes prélevables, Bassin versant de l'Agly,
Technical report, available at:
http://www.pyrenees-orientales.gouv.fr/content/download/9251/55322/file/FINAL+Phase+1A3.pdf
(last access: 20 November 2019), 2012.
Akima, H.: A method of bivariate interpolation and smooth surface fitting for irregularly distributed data points, ACM Trans. Math. Softw., 4, 148–164, https://doi.org/10.1145/355780.355786, 1978.
Akima, H.: Algorithm 761: Scattered-data surface fitting that has the
accuracy of a cubic polynomial, ACM Trans. Math. Softw., 22, 362–371,
https://doi.org/10.1145/232826.232856, 1996.
Amengual, A., Romero, R., and Alonso, S.: Hydro-meteorological ensemble
simulations of flood events over a small basin of Majorca Island, Spain, Q. J. Roy. Meteorol. Soc., 134, 1221–1242, 2008.
Amengual, A., Carrió, D. S., Ravazzani, G., and Homar, V.: A Comparison
of Ensemble Strategies for Flash Flood Forecasting: The 12 October 2007 Case
Study in Valencia, Spain, J. Hydrometeorol., 18, 1143–1166,
https://doi.org/10.1175/JHM-D-16-0281.1, 2017.
Angevine, W. M., Jiang, H., and Mauritsen, T.: Performance of an eddy
diffusivity–mass flux scheme for shallow cumulus boundary layers, Mon. Weather Rev., 13, 2895–2912, https://doi.org/10.1175/2010MWR3142.1, 2010.
Antonetti, M., Horat, C., Sideris, I. V., and Zappa, M.: Ensemble flood
forecasting considering dominant runoff processes – Part 1: Set-up and
application to nested basins (Emme, Switzerland), Nat. Hazards Earth Syst. Sci., 19, 19–40, https://doi.org/10.5194/nhess-19-19-2019, 2019.
Bartholmes, J. C., Thielen, J., Ramos, M. H., and Gentilini, S.: The european flood alert system EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts, Hydrol. Earth Syst. Sci., 13, 141–153, https://doi.org/10.5194/hess-13-141-2009, 2009.
Bellier, J., Bontron, G., and Zin, I.: Using Meteorological Analogues for
Reordering Postprocessed Precipitation Ensembles in Hydrological Forecasting, Water Resour. Res., 53, 10085–10107, https://doi.org/10.1002/2017WR021245, 2017.
Bellier, J., Zin, I., and Bontron, G.: Generating Coherent Ensemble Forecasts After Hydrological Postprocessing: Adaptations of ECC-Based Methods, Water Resour. Res., 54, 5741–5762, https://doi.org/10.1029/2018WR022601, 2018.
Benninga, H.-J. F., Booij, M. J., Romanowicz, R. J., and Rientjes, T. H. M.:
Performance of ensemble streamflow forecasts under varied hydro-meteorological conditions, Hydrol. Earth Syst. Sci., 21, 5273–5291,
https://doi.org/10.5194/hess-21-5273-2017, 2017.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing
area model of basin hydrology, Hydrolog. Sci. J., 24, 43–69,
https://doi.org/10.1080/02626667909491834, 1979.
Bontron, G.: Prévision quantitative des précipitations: adaptation
probabiliste par recherche d'analogues. Utilisation des réanalyses
NCEP/NCAR et application aux précipitations du Sud-Est de la France, PhD Thesis from Institut National Polytechnique de Grenoble, France, available at: https://tel.archives-ouvertes.fr/tel-01090969 (last
access: 31 January 2020), 2004.
Braud, I., Ayral, P.-A., Bouvier, C., Branger, F., Delrieu, G., Le Coz, J.,
Nord, G., Vandervaere, J.-P., Anquetin, S., Adamovic, M., Andrieu, J., Batiot, C., Boudevillain, B., Brunet, P., Carreau, J., Confoland, A.,
Didon-Lescot, J.-F., Domergue, J.-M., Douvinet, J., Dramais, G., Freydier, R., Gérard, S., Huza, J., Leblois, E., Le Bourgeois, O., Le Boursicaud,
R., Marchand, P., Martin, P., Nottale, L., Patris, N., Renard, B., Seidel,
J.-L., Taupin, J.-D., Vannier, O., Vincendon, B., and Wijbrans, A.:
Multi-scale hydro-meteorological observation and modelling for flash flood
understanding, Hydrol. Earth Syst. Sci., 18, 3733–3761, https://doi.org/10.5194/hess-18-3733-2014, 2014.
Buizza, R. and Palmer, T. N.: The singular-vector structure of the atmospheric general circulation, J. Atmos. Sci. Eng., 52, 1434–1456, https://doi.org/10.1175/1520-0469(1995)052<1434:TSVSOT>2.0.CO;2, 1995.
Champeaux, J.-L., Dupuy, P., Laurantin, O., Soulan, I., Tabary, P., and
Soubeyroux, J.-M.: Rainfall measurements and quantitative precipitation
estimations at Météo-France: inventory and prospects, La Houille
Blanche, 5, 28–34, https://doi.org/10.1051/lhb/2009052, 2009.
Cloke, H. L. and Pappenberger, F.: Ensemble flood forecasting: A review, J. Hydrol., 375, 613–626, https://doi.org/10.1016/j.jhydrol.2009.06.005, 2009.
Cloke, H. L., Pappenberger, F., van Andel, S. J., Schaake, J., Thielen, J.,
and Ramos, M.-H. (Eds.): Special Issue on Hydrological Ensemble Prediction
Systems (HEPS), Hydrol. Process., 27, 1–163, 2013.
Coniglio, M. C., Correia Jr., J., Marsh, P. T., and Kong, F.: Verification of
convection-allowing WRF Model forecasts of the planetary boundary layer
using sounding observations, Weather Forecast., 28, 842–862,
https://doi.org/10.1175/WAF-D-12-00103.1, 2013.
DIREN Languedoc-Roussillon/SIEE-GINGER: Atlas des zones inondables du bassin
versant de l'Agly par la méthode hydrogéomorphologique, Technical
report, available at:
http://piece-jointe-carto.developpement-durable.gouv.fr/REG091B/RISQUE/CDROM/agly/fichiers/rapport AZI_ Agly.pdf (last access: 20 November 2019), 2008.
Douinot, A., Roux, H., and Dartus, D.: Modelling errors calculation adapted
to rainfall-runoff model user expectations and discharge data uncertainties,
Environ. Model. Softw., 90, 157–166, https://doi.org/10.1016/j.envsoft.2017.01.007, 2017.
Douinot, A., Roux, H., Garambois, P.-A., and Dartus, D.: Using a multi-hypothesis framework to improve the understanding of flow dynamics
during flash floods, Hydrol. Earth Syst. Sci., 22, 5317–5340, https://doi.org/10.5194/hess-22-5317-2018, 2018.
Drobinski, P., Ducrocq, V., Alpert, P., Anagnostou, E., Béranger, K.,
Borga, M., Braud, I., Chanzy, A., Davolio, S., Delrieu, G., Estournel, C.,
Filali Boubrahmi, N., Font, J., Grubišić, V., Gualdi, S., Homar, V.,
Ivančan-Picek, B., Kottmeier, C., Kotroni, V., Lagouvardos, K., Lionello, P., Llasat, M. C., Ludwig, W., Lutoff, C., Mariotti, A., Richard, E., Romero, R., Rotunno, R., Roussot, O., Ruin, I., Somot, S., Taupier-Letage, I., Tintore, J., Uijlenhoet, R., and Wernili, H.: HyMeX A 10-year multidisciplinary program on the Mediterranean water cycle, B. Am. Meteorol. Soc., 95, 1063–1082, https://doi.org/10.1175/BAMS-D-12-00242.1, 2014.
Dudhia, J.: Numerical study of convection observed during the Winter Monsoon
Experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46,
3077–3107, 1989.
Edouard, S., Vincendon, B., and Ducrocq, V.: Ensemble-based flash flood
modelling: Taking into account hydrodynamic parameters and initial soil
moisture uncertainties, J. Hydrol., 560, 480–494, https://doi.org/10.1016/j.jhydrol.2017.04.048, 2018.
Evans, J. P., Ekström, M., and Ji, F.: Evaluating the performance of a
WRF physics ensemble over south-east Australia, Clim. Dynam., 39, 1241–1258, https://doi.org/10.1007/s00382-011-1244-5, 2012.
Fiori, E., Comellas, A., Molini, L., Rebora, N., Siccardi, F., Gochis, D. J.,
Tanelli, S., and Parodi, A.: Analysis and hindcast simulations of an extreme
rainfall event in the Mediterranean area: the Genoa 2011 case, Atmos. Res.,
138, 13–29, 2014.
Fread, D. L.: Flow routing, in: Hanbook of Hydrology, edited by: Maidment, D. R., MCGraw-Hill, Inc., USA, 1992.
Garambois, P. A., Roux, H., Larnier, K., Castaings, W., and Dartus, D.:
Characterization of process-oriented hydrologic model behavior with temporal
sensitivity analysis for flash floods in Mediterranean catchments, Hydrol.
Earth Syst. Sci., 17, 2305–2322, https://doi.org/10.5194/hess-17-2305-2013, 2013.
Garambois, P. A., Roux, H., Larnier, K., Labat, D., and Dartus, D.:
Characterization of catchment behavior and rainfall selection for flash
flood hydrological model calibration: catchments of the eastern Pyrenees,
Hydrolog. Sci. J., 60, 424–447, https://doi.org/10.1080/02626667.2014.909596, 2015a.
Garambois, P.-A., Roux, H., Larnier, K., Labat, D., and Dartus, D.: Parameter regionalization for a process oriented distributed model dedicated to flash floods, J. Hydrol., 525, 383–399, https://doi.org/10.1016/j.jhydrol.2015.03.052, 2015b.
Gaume, E., Bain, V., Bernardara, P., Newinger, O., Barbuc, M., Bateman, A.,
Blaškovicová, 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.
Gilmour, I., Smith, L. A., and Buizza, R.: Linear region duration: Is 24 hours a long time in synoptic weather forecasting?, J. Atmos. Sci., 58,
3525–3539, 2001.
Green, W. H. and Ampt, C. A.: Studies on soil physics of flowof air and water
through soils, J. Agricult. Sci., 4, 1–24, 1911.
Grimit, E. P. and Mass, C. F.: Measuring the ensemble spread–error relationship with a probabilistic approach: stochastic ensemble results, Mon. Weather Rev., 135, 203–221, 2007.
Habets, F., Boone, A., Champeaux, J.-L., Etchevers, P., Franchisteguy, L.,
Leblois, E., Ledoux, E., Le Moigne, P., Martin, E., Morel, S., Noilhan, J.,
Quintana Seguí, P., Rousset Regimbeau, F., and Viennot, P.: The
SAFRAN-ISBA-MODCOU hydro-meteorological model applied over France, J. Geophys. Res.-Atmos., 113, D06113, https://doi.org/10.1029/2007JD008548, 2008.
Hersbach, H.: Decomposition of the Continuous Ranked Probability Score for
Ensemble Prediction Systems, Weather Forecast., 15, 559–570, https://doi.org/10.1175/1520-0434(2000)015<0559:DOTCRP>2.0.CO;2, 2000.
Hong, S.-Y. and Lim, J.-O. J.: The WRF single-moment 6-class microphysics
scheme (WSM6), J. Korean Meteorol. Soc., 42, 129–151, 2006.
Hong, S.-Y., Noh, Y., and Dudhia, J.: A new vertical diffusion package with
an explicit treatment of entrainment processes, Mon. Weather Rev., 134,
2318–2341, https://doi.org/10.1175/MWR3199.1, 2006.
Hsiao, L.-F., Yang, M.-J., Lee, C.-S., Kuo, H.-C., Shih, D.-S., Tsai, C.-C.,
Wang, C.-J., Chang, L.-Y., Chen, D. Y.-C., Feng, L., Hong, J.-S., Fong, C.-T., Chen, D.-S., Yeh, T.-C., Huang, C.-Y., Guo, W.-D., and Lin, G.-F.:
Ensemble forecasting of typhoon rainfall and floods over a mountainous
watershed in Taiwan, J. Hydrol., 506, 55–68, https://doi.org/10.1016/j.jhydrol.2013.08.046, 2013.
Hu, X.-M., Nielsen-Gammon, J. W., and Zhang, F.: Evaluation of three planetary boundary layer schemes in the WRF Model, J. Appl. Meteorol. Clim., 49, 1831–1843, https://doi.org/10.1175/2010JAMC2432.1, 2010.
Jain, S. K., Mani, P., Jain, S. K., Prakash, P., Singh, V. P., Tullos, D.,
Kumar, S., Agarwal, S. P., and Dimri, A. P.: A Brief review of flood forecasting techniques and their applications, Int. J. River Basin Manage., 16, 329–344, https://doi.org/10.1080/15715124.2017.1411920, 2018.
Janjic, Z. I.: The step-mountain eta coordinate model: further developments
of the convection, viscous sublayer, and turbulence closure schemes, Mon.
Weather Rev., 122, 927–945, https://doi.org/10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2, 1994.
Jankov, I., Gallus Jr., W. A., Segal, M., Shaw, B., and Koch, S. E.: The
impact of different WRF Model physical parameterizations and their
interactions on warm season MCS rainfall, Weather Forecast., 20, 1048–1060, https://doi.org/10.1175/WAF888.1, 2005.
Krzysztofowicz, R.: The case for probabilistic forecasting in hydrology,
J. Hydrol., 249, 2–9, https://doi.org/10.1016/S0022-1694(01)00420-6, 2001.
Ladouche, B. and Dörfliger, N.: Evaluation des ressources en eau des
corbières. Phase I – Synthèse de la caractérisation des
systèmes karstiques des Corbières Orientales, Tecnical report BRGM,
available at: http://infoterre.brgm.fr/rapports/RP-52919-FR.pdf (last access: 6 December 2019), 2004.
Laurantin, O.: ANTILOPE: hourly rainfall analysis merging radar and
raingauges data, in: Proceedings of Weather Radar and Hydrology Conference 2008, Grenoble, 2008.
Le Lay, M. and Saulnier, G. M.: Exploring the signature of climate and landscape spatial variabilities in flash flood events: case of the 8–9 September 2002 Cévennes-Vivarais catastrophic event, Geophys. Res.
Lett., 34, L13401, https://doi.org/10.1029/2007GL029746, 2007.
Leoncini, G., Plant, R. S., Gray, S. L., and Clark, P. A.: Ensemble forecasts
of a flood producing storm: comparison of the influence of model-state
perturbations and parameter modifications, Q. J. Roy. Meteorol. Soc., 139, 198–211, 2013.
Mansell, E. R.: On sedimentation and advection in multimoment bulk microphysics, J. Atmos. Sci., 67, 3084–3094, https://doi.org/10.1175/2010JAS3341.1, 2010.
Matheson, J. E. and Winkler, R. L.: Scoring rules for continuous probability
distribution, Manage. Sci., 22, 1087–1096, 1976.
Maubourguet, M.-M., Chorda, J., Dartus, D., and George, J.: Prévision
des crues éclair sur le Gardon d'Anduze (Flash flood forecasting in the
Gardon catchment at Anduze), in: 1st Mediterranean-HyMeX Workshop – Hydrological cycle in Mediterranean Experiment, 9–11 January 2007, Météo-France, Toulouse, France, 2007.
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated
correlated-k model for the longwave, J. Geophys. Res., 102, 16663–16682,
1997.
Molteni, F., Buizza, R., Palmer, T. N., and Petroliagis, T.: The ECMWF
ensemble prediction system: methodology and validation, Q. J. Roy. Meteorol. Soc., 122, 73–119, https://doi.org/10.1002/qj.49712252905, 1996.
Mounier, F., Lassègues, P., Gibelin, A.-L., Céron, J.-P., and
Veysseire, J.-M.: Radar-guided control and interpolation of rain gauge
precipitation data over France, Report EURO4M project (European Reanalysis
and Observations for Monitoring project), available at:
http://www.euro4m.eu/Publications/Report_Flore_Mounier_EURO4M_201203.pdf (last access: 6 December 2019), 2012.
Nakanishi, M. and Niino, H.: An Improved Mellor–Yamada Level-3 Model: Its
Numerical Stability and Application to a Regional Prediction of Advection
Fog, Bound.-Lay. Meteorol., 119, 397–407, https://doi.org/10.1007/s10546-005-9030-8, 2006.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models. Part I – A discussion of principles, J. Hydrol., 10, 282–290,
https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
Nurmi P.: Recommendations on the verification of local weather forecasts,
ECMWF Tech. Mem. 430, available at:
https://www.researchgate.net/publication/238107438_Recommendations_on_the_verification_of_local_weather_forecasts
(last access: 20 November 2019), 2003.
Pilgrim, D. H. and Cordery, I.: Flood runoff, in: Hanbook of Hydrology, editedd by: Maidment, D. R., MCGraw-Hill, Inc., USA, 1992.
Ramos, M. H., van Andel, S. J., and Pappenberger, F.: Do probabilistic forecasts lead to better decisions?, Hydrol. Earth Syst. Sci., 17, 2219–2232, https://doi.org/10.5194/hess-17-2219-2013, 2013.
Ravazzani, G., Amengual, A., Ceppi, A., Homar, V., Romero, R., Lombardi, G.,
and Mancini, M.: Potentialities of ensemble strategies for flood forecasting
over the Milano urban area, J. Hydrol., 539, 237–253, https://doi.org/10.1016/j.jhydrol.2016.05.023, 2016.
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.
Roux, H., Labat, D., Garambois, P.-A., Maubourguet, M.-M., Chorda, J., and
Dartus, D.: A physically-based parsimonious hydrological model for flash
floods in Mediterranean catchments, Nat. Hazards Earth Syst. Sci., 11, 2567–2582, https://doi.org/10.5194/nhess-11-2567-2011, 2011.
Salvayre, H.: Les karsts des Pyrénées-Orientales (Caractères
hydrogéologiques et spéléologiques généraux), in:
Karstologia: revue de karstologie et de spéléologie physique,
no. 13, 1er semestre 1989, 1–10, https://doi.org/10.3406/karst.1989.2199, 1989.
Schwartz, C. S., Kain, J. S., Weiss, S. J., Xue, M., Bright, D. R., Kong, F.,
Thomas, K. W., Levit, J. J., Coniglio, M. C., and Wandishin, M. S.: Toward
improved convection-allowing ensembles: Model physics sensitivities and
optimizing probabilistic guidance with small ensemble membership, Weather
Forecast., 25, 263–280, https://doi.org/10.1175/2009WAF2222267.1, 2010.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D., Duda, M.
G., Huang, X. Y., Wang, W., and Powers, J. G.: A Description of the Advanced
Research WRF Version 3, NCAR Tech. Note NCAR/TN-4751STR, NCAR, Boulder, Colorado, USA, p. 125, 2008.
Siddique, R. and Mejia, A.: Ensemble Streamflow Forecasting across the U.S.
Mid-Atlantic Region with a Distributed Hydrological Model Forced by GEFS
Reforecasts, B. Am. Meteorol. Soc., 18, 1905–1928, https://doi.org/10.1175/JHM-D-16-0243.1, 2017.
Stensrud, D.J., Bao, J.-W., and Warner, T. T.: Using initial and model physics perturbations in short-range ensemble simulations of mesoscale
convective events, Mon. Weather Rev., 128, 2077–2107, 2000.
Tao, W. K., Simpson, J., and McCumber, M.: An ice-water saturation
adjustment, Mon. Weather Rev., 117, 231–235, https://doi.org/10.1175/1520-0493(1989)117<0231:AIWSA>2.0.CO;2, 1989.
Tapiador, F. J., Tao, W. K., Shi, J. J., Angelis, C. F., Martinez, M. A., Marcos, C., Rodríguez, A., and Hou, A.: A comparison of perturbed initial
conditions and multiphysics ensembles in a severe weather episode in Spain,
J. Appl. Meteorol. Clim., 51, 489–504, 2012.
Tewari, M., Chen, F., Wang, W., Dudhia, J., LeMone, M. A., Mitchell, K., Ek,
M., Gayno, G., Wegiel, J., and Cuenca, R. H.: Implementation and verification
of the unified NOAH land surface model in the WRF model, in: 20th Conference
on Weather Analysis and Forecasting/16th Conference on Numerical Weather
Prediction, 11–15 January 2004, Seattle, Washington, 11–15, 2004
Thiessen, A. H.: Precipitation averages for large areas, Mon. Weather Rev.,
39, 1082, https://doi.org/10.1175/1520-0493(1911)39<1082b:PAFLA>2.0.CO;2, 1911.
Thompson, G., Field, P. R., Rasmussen, R. M., and Hall, W. D.: Explicit forecasts of winter precipitation using an improved bulk microphysics
scheme. Part II: Implementation of a new snow parameterization, Mon. Weather
Rev., 136, 5095–5115, https://doi.org/10.1175/2008MWR2387.1, 2008.
Todini, E.: Role and treatment of uncertainty in real-time flood forecasting, Hydrol. Process., 18, 2743–2746, https://doi.org/10.1002/hyp.5687, 2004.
Verkade, J. S., Brown, J. D., Reggiani, P., and Weerts, A. H.: Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales, J. Hydrol., 501, 73–91, https://doi.org/10.1016/j.jhydrol.2013.07.039, 2013.
Verkade, J. S., Brown, J. D., Davids, F., Reggiani, P., and Weerts, A. H.:
Estimating predictive hydrological uncertainty by dressing deterministic and
ensemble forecasts; a comparison, with application to Meuse and Rhine, J. Hydrol., 555, 257–277, https://doi.org/10.1016/j.jhydrol.2017.10.024, 2017.
Zappa, M., Beven, K. J., Bruen, M., Cofiño, A. S., Kok, K., Martin, E., Nurmi, P., Orfila, B., Roulin, E., Schröter, K., Seed, A., Szturc, J., Vehviläinen, B., Germann, U., and Rossa, A.: Propagation of uncertainty from observing systems and NWP into hydrological models: COST-731 Working Group 2, Atmos. Sci. Lett., 11, 83–91, https://doi.org/10.1002/asl.248, 2010.
Zappa, M., Jaun, S., Germann, U., Walser, A., and Fundel, F.: Superposition
of three sources of uncertainties in operational flood forecasting chains,
Atmos. Res., 100, 246–262, https://doi.org/10.1016/j.atmosres.2010.12.005, 2011.
Zappa, M., Fundel, F., and Jaun, S.: A `Peak-Box' approach for supporting
interpretation and verification of operational ensemble peak-flow forecasts,
Hydrol. Process., 27, 117–131, https://doi.org/10.1002/hyp.9521, 2013.
Short summary
The performances of flash-flood forecasts are evaluated using a meteorological model forcing a rainfall-runoff model. Both deterministic (single forecast of the most likely weather) and ensemble forecasts (set or ensemble of forecasts) have been produced on three subcatchments of the eastern Pyrenees exhibiting different rainfall regimes. Results show that both overall discharge forecast and flood warning are improved by the ensemble strategies with respect to the deterministic forecast.
The performances of flash-flood forecasts are evaluated using a meteorological model forcing a...
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