Articles | Volume 10, issue 4
https://doi.org/10.5194/essd-10-1783-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-10-1783-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Peer-reviewed comment
| 
05 Oct 2018
Peer-reviewed comment |
| 05 Oct 2018
| 05 Oct 2018
Integrated high-resolution dataset of high-intensity European and Mediterranean flash floods
William Amponsah
CORRESPONDING AUTHOR
Department of Land, Environment, Agriculture and Forestry,
University of Padova, Legnaro, Italy
Department of Agricultural
and Biosystems Engineering, College of Engineering, KNUST, Kumasi, Ghana
Pierre-Alain Ayral
ESPACE, UMR7300 CNRS, “Antenne Cevenole”, Université de
Nice-Sophia-Antipolis, France
LGEI, IMT Mines Ales, Univ
Montpellier, Ales, France
Brice Boudevillain
Univ. Grenoble Alpes, CNRS, IRD,
Grenoble INP, IGE, 38000 Grenoble, France
Christophe Bouvier
Hydrosciences, UMR5569
CNRS, IRD, Univ. Montpellier, Montpellier, France
Isabelle Braud
Irstea, UR
RiverLy, Lyon-Villeurbanne Center, 68626 Villeurbanne, France
Pascal Brunet
Hydrosciences, UMR5569
CNRS, IRD, Univ. Montpellier, Montpellier, France
Guy Delrieu
Univ. Grenoble Alpes, CNRS, IRD,
Grenoble INP, IGE, 38000 Grenoble, France
Jean-François Didon-Lescot
ESPACE, UMR7300 CNRS, “Antenne Cevenole”, Université de
Nice-Sophia-Antipolis, France
Eric Gaume
IFSTTAR, GERS, EE, 44344 Bouguenais, France
Laurent Lebouc
IFSTTAR, GERS, EE, 44344 Bouguenais, France
Lorenzo Marchi
CNR IRPI,
Padua, Italy
Francesco Marra
Institute of Earth Sciences, Hebrew University of
Jerusalem, Jerusalem, Israel
Efrat Morin
Institute of Earth Sciences, Hebrew University of
Jerusalem, Jerusalem, Israel
Guillaume Nord
Univ. Grenoble Alpes, CNRS, IRD,
Grenoble INP, IGE, 38000 Grenoble, France
Olivier Payrastre
IFSTTAR, GERS, EE, 44344 Bouguenais, France
Davide Zoccatelli
Institute of Earth Sciences, Hebrew University of
Jerusalem, Jerusalem, Israel
Marco Borga
Department of Land, Environment, Agriculture and Forestry,
University of Padova, Legnaro, Italy
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Nathalia Correa-Sánchez, Xiaoli Guo Larsén, Eleonora Dallan, Marco Borga, and Francesco Marra
Wind Energ. Sci., 11, 2961–2985, https://doi.org/10.5194/wes-11-2961-2026, https://doi.org/10.5194/wes-11-2961-2026, 2026
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This research presents the first use of the simplified metastatistical extreme value approach for wind extremes, extending it to wind energy applications. We use a categorical framework that combines climate, roughness, and topography to evaluate convection-permitted models. We find that model formulation drives inter-model uncertainties, rather than surface conditions. Convection-permitted models' uncertainty analysis improves the reliability of extreme wind estimates for design parameters.
Ella Thomas, Petr Vohnicky, Marco Borga, Nadav Peleg, and Francesco Marra
Hydrol. Earth Syst. Sci., 30, 4957–4967, https://doi.org/10.5194/hess-30-4957-2026, https://doi.org/10.5194/hess-30-4957-2026, 2026
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Extreme rainfall is expected to grow in magnitude with increasing temperature. We assess whether very rare extremes increase with temperature faster than moderate extremes, and we test methods to include this effect into a model to predict future extremes called TENAX. We find that this dependence on temperature is typically observed but including it in the model without prior information on its magnitude may lead to disproportionately large uncertainty.
Yair Rinat, Moshe Armon, and Efrat Morin
Hydrol. Earth Syst. Sci., 30, 4565–4585, https://doi.org/10.5194/hess-30-4565-2026, https://doi.org/10.5194/hess-30-4565-2026, 2026
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In the coming decades Mediterranean floods are expected to change due to increased urbanization and climate change. We simulate floods under different conditions and show that future rainfall will likely reduce flood magnitudes, but increased urbanization will make them higher. Flood intensification is more pronounced at upstream sections and when soil moisture is high. As future flood trends may change between different regions further research is needed to cope with upcoming challenges.
Rashid Akbary, Eleonora Dallan, Paul C. Astagneau, Raul R. Wood, Francesco Marra, Manuela I. Brunner, and Marco Borga
Hydrol. Earth Syst. Sci., 30, 4117–4139, https://doi.org/10.5194/hess-30-4117-2026, https://doi.org/10.5194/hess-30-4117-2026, 2026
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Heavy short rain can trigger flash floods and debris flows. In this study we evaluated how well climate models reproduce these events in Switzerland. We compared finer and coarser resolution models with high-quality hourly precipitation observations across small to large areas. The finer models better captured where short, intense precipitation occurs, but their errors changed with area size. Flood risk studies should therefore account for these scale-related errors.
Bob E. Saint-Fleur, Eric Gaume, Florian Surmont, Nicolas Akil, and Dominique Theriez
Hydrol. Earth Syst. Sci., 30, 3497–3527, https://doi.org/10.5194/hess-30-3497-2026, https://doi.org/10.5194/hess-30-3497-2026, 2026
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This paper highlights the importance of discharge assimilation (DA) for artificial intelligence (AI)-based operational discharge forecasting. Using two public datasets from France and the USA, simulated discharge from two rainfall-runoff models, and a multilayer perceptron for implementation, we evaluate three DA strategies under both deterministic and probabilistic forecasting approaches. Results show that DA is crucial and that model performance may decrease between the two forecasting cases.
Talia Rosin, Francesco Marra, Marco Gabella, Urs Germann, Daniel Wolfensberger, and Efrat Morin
EGUsphere, https://doi.org/10.5194/egusphere-2026-1800, https://doi.org/10.5194/egusphere-2026-1800, 2026
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Extreme rainfall in mountainous regions is difficult to assess as it varies strongly across space and time, and rain gauges are often too sparse to capture it. Using 9 years of radar data, we analyse summer rainfall extremes across Switzerland for different durations and areas. We show that rainfall intensity depends strongly on scale and topography, and that radar better captures local extremes, improving flood hazard assessment, as demonstrated for three recent major flood-producing storms.
Ron Nativ, Dimitri Lague, Paul Leroy, Laure Guerit, Thomas Bernard, Mathilde Letard, Daniel Girardeau-Montaut, Vincent Godard, Rodolphe Cattin, Olivier Payrastre, and Philippe Steer
EGUsphere, https://doi.org/10.5194/egusphere-2026-724, https://doi.org/10.5194/egusphere-2026-724, 2026
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We mapped the riverbed through a 28 km canyon in southern France using airborne laser measurements, where field surveys are difficult and risky. By reprocessing the full recorded signal and combining it with targeted sonar checks, we recovered deeper and more complete underwater terrain than standard approaches. The resulting riverbed elevation model preserves key channel shapes needed for improved flood simulations, habitat assessment, and river management.
Saran Aadhar, Efrat Morin, and Utkarsh Gupta
EGUsphere, https://doi.org/10.5194/egusphere-2026-339, https://doi.org/10.5194/egusphere-2026-339, 2026
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River basins in India are often affected by flooding during the summer monsoon, putting millions of people and livelihoods at risk. Understanding the processes that cause floods is critical to minimizing flood risk. Our investigations show how rainfall (short and long-duration), surface water flow, and the specific location of the drainage area contribute to flood events in the Godavari River basin using observations and hydrological model data.
Ophélie Fischer, Cédric Legout, Caroline Le Bouteiller, Guillaume Nord, Guilhem Freche, Sophie Darfeuil, Laure Jullien, and Zahra Rastegar
EGUsphere, https://doi.org/10.5194/egusphere-2025-5899, https://doi.org/10.5194/egusphere-2025-5899, 2026
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This study analyzes how the seasonal variability of groundwater input to river controls suspended sediment dynamics in a Mediterranean mountain catchment. Groundwater inputs play a crucial role in controlling conditions for riverbed sediment remobilization. This highlights the importance of separating groundwater and surface runoff before analyzing sediment export dynamics, and of integrating these seasonal hydrological controls into hydrosedimentary models.
Susen Shrestha, Stefano Terzi, Davide Zoccatelli, Mattia Zaramella, Marco Borga, Andrea Galletti, Mattia Callegari, Roberto Dinale, Massimiliano Pittore, and Giacomo Bertoldi
EGUsphere, https://doi.org/10.5194/egusphere-2025-6387, https://doi.org/10.5194/egusphere-2025-6387, 2026
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Glaciers and snow contribute to buffer river streamflow during droughts. Due to climate change, their role is shrinking with severe implications for water management. Here we investigated the role of glaciers to buffer the 2003, 2005 and 2022 droughts that occurred in the upper Adige River Basin (Italy). Glaciers provided 4 to 12 % of summer water during droughts and their buffering is weakening due to their retreat with lower contribution in 2022 compared to the similar drought of 2003.
Francesco Marra, Eleonora Dallan, Marco Borga, Roberto Greco, and Thom Bogaard
Nat. Hazards Earth Syst. Sci., 25, 5055–5061, https://doi.org/10.5194/nhess-25-5055-2025, https://doi.org/10.5194/nhess-25-5055-2025, 2025
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We highlight an important conceptual difference between the duration used in intensity-duration thresholds and the duration used in the intensity-duration-frequency curves that has been overlooked by the landslide literature so far.
Nathalia Correa-Sánchez, Xiaoli Guo Larsén, Giorgia Fosser, Eleonora Dallan, Marco Borga, and Francesco Marra
Wind Energ. Sci., 10, 2551–2561, https://doi.org/10.5194/wes-10-2551-2025, https://doi.org/10.5194/wes-10-2551-2025, 2025
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We examined the power spectra of wind speed in three convection-permitting models in central Europe and found that these models have a better representation of wind variability characteristics than standard wind datasets like the New European Wind Atlas, due to different simulation approaches, providing more reliable extreme wind predictions.
Rajani Kumar Pradhan, Yannis Markonis, Francesco Marra, Efthymios I. Nikolopoulos, Simon Michael Papalexiou, and Vincenzo Levizzani
Hydrol. Earth Syst. Sci., 29, 4929–4949, https://doi.org/10.5194/hess-29-4929-2025, https://doi.org/10.5194/hess-29-4929-2025, 2025
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This study compared global satellite and reanalysis precipitation datasets to assess diurnal variability. We found that all datasets capture key diurnal precipitation patterns, with maximum precipitation in the afternoon over land and early morning over the ocean. However, there are differences in the exact timing and amount of precipitation. This suggests that it is better to use a combination of datasets for potential applications rather than relying on a single dataset.
Francesco Marra, Nadav Peleg, Elena Cristiano, Efthymios I. Nikolopoulos, Federica Remondi, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 25, 2565–2570, https://doi.org/10.5194/nhess-25-2565-2025, https://doi.org/10.5194/nhess-25-2565-2025, 2025
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Climate change is escalating the risks related to hydro-meteorological extremes. This preface introduces a special issue originating from a European Geosciences Union (EGU) session. It highlights the challenges posed by these extremes, ranging from hazard assessment to mitigation strategies, and covers both water excess events like floods, landslides, and coastal hazards and water deficit events such as droughts and fire weather. The collection aims to advance understanding, improve resilience, and inform policy-making.
Juliette Godet, Pierre Nicolle, Nabil Hocini, Eric Gaume, Philippe Davy, Frederic Pons, Pierre Javelle, Pierre-André Garambois, Dimitri Lague, and Olivier Payrastre
Earth Syst. Sci. Data, 17, 2963–2983, https://doi.org/10.5194/essd-17-2963-2025, https://doi.org/10.5194/essd-17-2963-2025, 2025
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This paper describes a dataset that includes input, output, and validation data for the simulation of flash flood hazards and three specific flash flood events in the French Mediterranean region. This dataset is particularly valuable as flood mapping methods often lack sufficient benchmark data. Additionally, we demonstrate how the hydraulic method we used, named Floodos, produces highly satisfactory results.
Juliette Godet, Eric Gaume, Pierre Javelle, Thomas Dias, Pierre Nicolle, and Olivier Payrastre
Abstr. Int. Cartogr. Assoc., 9, 16, https://doi.org/10.5194/ica-abs-9-16-2025, https://doi.org/10.5194/ica-abs-9-16-2025, 2025
Kevin Kenfack, Francesco Marra, Zéphirin Yepdo Djomou, Lucie Angennes Djiotang Tchotchou, Alain Tchio Tamoffo, and Derbetini Appolinaire Vondou
Weather Clim. Dynam., 5, 1457–1472, https://doi.org/10.5194/wcd-5-1457-2024, https://doi.org/10.5194/wcd-5-1457-2024, 2024
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The results of this study show that moisture advection induced by horizontal wind anomalies and vertical moisture advection induced by vertical velocity anomalies were crucial mechanisms behind the anomalous October 2019 exceptional rainfall increase over western central Africa. The information we derive can be used to support risk assessment and management in the region and to improve our resilience to ongoing climate change.
Talia Rosin, Francesco Marra, and Efrat Morin
Hydrol. Earth Syst. Sci., 28, 3549–3566, https://doi.org/10.5194/hess-28-3549-2024, https://doi.org/10.5194/hess-28-3549-2024, 2024
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Knowledge of extreme precipitation probability at various spatial–temporal scales is crucial. We estimate extreme precipitation return levels at multiple scales (10 min–24 h, 0.25–500 km2) in the eastern Mediterranean using radar data. We show our estimates are comparable to those derived from averaged daily rain gauges. We then explore multi-scale extreme precipitation across coastal, mountainous, and desert regions.
Shai Abir, Hamish A. McGowan, Yonatan Shaked, Hezi Gildor, Efrat Morin, and Nadav G. Lensky
Atmos. Chem. Phys., 24, 6177–6195, https://doi.org/10.5194/acp-24-6177-2024, https://doi.org/10.5194/acp-24-6177-2024, 2024
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Understanding air–sea heat exchange is vital for studying ocean dynamics. Eddy covariance measurements over the Gulf of Eilat revealed a 3.22 m yr-1 evaporation rate, which is inconsistent with bulk formulae estimations in stable atmospheric conditions, requiring bulk formulae to be revisited in these environments. The surface fluxes have a net cooling effect on the gulf water on an annual mean (-79 W m-2), balanced by a strong exchange flux between the Red Sea and the Gulf of Eilat.
Juliette Godet, Eric Gaume, Pierre Javelle, Pierre Nicolle, and Olivier Payrastre
Hydrol. Earth Syst. Sci., 28, 1403–1413, https://doi.org/10.5194/hess-28-1403-2024, https://doi.org/10.5194/hess-28-1403-2024, 2024
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This work was performed in order to precisely address a point that is often neglected by hydrologists: the allocation of points located on a river network to grid cells, which is often a mandatory step for hydrological modelling.
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389, https://doi.org/10.5194/hess-28-375-2024, https://doi.org/10.5194/hess-28-375-2024, 2024
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We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.
Juliette Godet, Olivier Payrastre, Pierre Javelle, and François Bouttier
Nat. Hazards Earth Syst. Sci., 23, 3355–3377, https://doi.org/10.5194/nhess-23-3355-2023, https://doi.org/10.5194/nhess-23-3355-2023, 2023
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This article results from a master's research project which was part of a natural hazards programme developed by the French Ministry of Ecological Transition. The objective of this work was to investigate a possible way to improve the operational flash flood warning service by adding rainfall forecasts upstream of the forecasting chain. The results showed that the tested forecast product, which is new and experimental, has a real added value compared to other classical forecast products.
Maryse Charpentier-Noyer, Daniela Peredo, Axelle Fleury, Hugo Marchal, François Bouttier, Eric Gaume, Pierre Nicolle, Olivier Payrastre, and Maria-Helena Ramos
Nat. Hazards Earth Syst. Sci., 23, 2001–2029, https://doi.org/10.5194/nhess-23-2001-2023, https://doi.org/10.5194/nhess-23-2001-2023, 2023
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This paper proposes a methodological framework designed for event-based evaluation in the context of an intense flash-flood event. The evaluation adopts the point of view of end users, with a focus on the anticipation of exceedances of discharge thresholds. With a study of rainfall forecasts, a discharge evaluation and a detailed look at the forecast hydrographs, the evaluation framework should help in drawing robust conclusions about the usefulness of new rainfall ensemble forecasts.
Stefan Steger, Mateo Moreno, Alice Crespi, Peter James Zellner, Stefano Luigi Gariano, Maria Teresa Brunetti, Massimo Melillo, Silvia Peruccacci, Francesco Marra, Robin Kohrs, Jason Goetz, Volkmar Mair, and Massimiliano Pittore
Nat. Hazards Earth Syst. Sci., 23, 1483–1506, https://doi.org/10.5194/nhess-23-1483-2023, https://doi.org/10.5194/nhess-23-1483-2023, 2023
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We present a novel data-driven modelling approach to determine season-specific critical precipitation conditions for landslide occurrence. It is shown that the amount of precipitation required to trigger a landslide in South Tyrol varies from season to season. In summer, a higher amount of preparatory precipitation is required to trigger a landslide, probably due to denser vegetation and higher temperatures. We derive dynamic thresholds that directly relate to hit rates and false-alarm rates.
Nadav Peleg, Herminia Torelló-Sentelles, Grégoire Mariéthoz, Lionel Benoit, João P. Leitão, and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1233–1240, https://doi.org/10.5194/nhess-23-1233-2023, https://doi.org/10.5194/nhess-23-1233-2023, 2023
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Floods in urban areas are one of the most common natural hazards. Due to climate change enhancing extreme rainfall and cities becoming larger and denser, the impacts of these events are expected to increase. A fast and reliable flood warning system should thus be implemented in flood-prone cities to warn the public of upcoming floods. The purpose of this brief communication is to discuss the potential implementation of low-cost acoustic rainfall sensors in short-term flood warning systems.
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga
Hydrol. Earth Syst. Sci., 27, 1133–1149, https://doi.org/10.5194/hess-27-1133-2023, https://doi.org/10.5194/hess-27-1133-2023, 2023
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Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite overall good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider the role of orography.
Shalev Siman-Tov and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1079–1093, https://doi.org/10.5194/nhess-23-1079-2023, https://doi.org/10.5194/nhess-23-1079-2023, 2023
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Debris flows represent a threat to infrastructure and the population. In arid areas, they are observed when heavy rainfall hits steep slopes with sediments. Here, we use digital surface models and radar rainfall data to detect and characterize the triggering and non-triggering rainfall conditions. We find that rainfall intensity alone is insufficient to explain the triggering. We suggest that antecedent rainfall could represent a critical factor for debris flow triggering in arid regions.
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, and Yossi Matias
Hydrol. Earth Syst. Sci., 26, 4013–4032, https://doi.org/10.5194/hess-26-4013-2022, https://doi.org/10.5194/hess-26-4013-2022, 2022
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Early flood warnings are one of the most effective tools to save lives and goods. Machine learning (ML) models can improve flood prediction accuracy but their use in operational frameworks is limited. The paper presents a flood warning system, operational in India and Bangladesh, that uses ML models for forecasting river stage and flood inundation maps and discusses the models' performances. In 2021, more than 100 million flood alerts were sent to people near rivers over an area of 470 000 km2.
Giulia Zuecco, Anam Amin, Jay Frentress, Michael Engel, Chiara Marchina, Tommaso Anfodillo, Marco Borga, Vinicio Carraro, Francesca Scandellari, Massimo Tagliavini, Damiano Zanotelli, Francesco Comiti, and Daniele Penna
Hydrol. Earth Syst. Sci., 26, 3673–3689, https://doi.org/10.5194/hess-26-3673-2022, https://doi.org/10.5194/hess-26-3673-2022, 2022
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We analyzed the variability in the isotopic composition of plant water extracted by two different methods, i.e., cryogenic vacuum distillation (CVD) and Scholander-type pressure chamber (SPC). Our results indicated that the isotopic composition of plant water extracted by CVD and SPC was significantly different. We concluded that plant water extraction by SPC is not an alternative for CVD as SPC mostly extracts the mobile plant water whereas CVD retrieves all water stored in the sampled tissue.
Guy Delrieu, Anil Kumar Khanal, Frédéric Cazenave, and Brice Boudevillain
Atmos. Meas. Tech., 15, 3297–3314, https://doi.org/10.5194/amt-15-3297-2022, https://doi.org/10.5194/amt-15-3297-2022, 2022
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The RadAlp experiment aims at improving quantitative precipitation estimation in the Alps thanks to X-band polarimetric radars and in situ measurements deployed in Grenoble, France. We revisit the physics of propagation and attenuation of microwaves in rain. We perform a generalized sensitivity analysis in order to establish useful parameterization for attenuation corrections. Originality lies in the use of otherwise undesired mountain returns for constraining the considered physical model.
Assaf Hochman, Francesco Marra, Gabriele Messori, Joaquim G. Pinto, Shira Raveh-Rubin, Yizhak Yosef, and Georgios Zittis
Earth Syst. Dynam., 13, 749–777, https://doi.org/10.5194/esd-13-749-2022, https://doi.org/10.5194/esd-13-749-2022, 2022
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Gaining a complete understanding of extreme weather, from its physical drivers to its impacts on society, is important in supporting future risk reduction and adaptation measures. Here, we provide a review of the available scientific literature, knowledge gaps and key open questions in the study of extreme weather events over the vulnerable eastern Mediterranean region.
Francesco Marra, Moshe Armon, and Efrat Morin
Hydrol. Earth Syst. Sci., 26, 1439–1458, https://doi.org/10.5194/hess-26-1439-2022, https://doi.org/10.5194/hess-26-1439-2022, 2022
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We present a new method for quantifying the probability of occurrence of extreme rainfall using radar data, and we use it to examine coastal and orographic effects on extremes. We identify three regimes, directly related to precipitation physical processes, which respond differently to these forcings. The methods and results are of interest for researchers and practitioners using radar for the analysis of extremes, risk managers, water resources managers, and climate change impact studies.
Yoav Ben Dor, Francesco Marra, Moshe Armon, Yehouda Enzel, Achim Brauer, Markus Julius Schwab, and Efrat Morin
Clim. Past, 17, 2653–2677, https://doi.org/10.5194/cp-17-2653-2021, https://doi.org/10.5194/cp-17-2653-2021, 2021
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Laminated sediments from the deepest part of the Dead Sea unravel the hydrological response of the eastern Mediterranean to past climate changes. This study demonstrates the importance of geological archives in complementing modern hydrological measurements that do not fully capture natural hydroclimatic variability, which is crucial to configure for understanding the impact of climate change on the hydrological cycle in subtropical regions.
Maxime Gillet, Corinne Le Gal La Salle, Pierre Alain Ayral, Somar Khaska, Philippe Martin, and Patrick Verdoux
Hydrol. Earth Syst. Sci., 25, 6261–6281, https://doi.org/10.5194/hess-25-6261-2021, https://doi.org/10.5194/hess-25-6261-2021, 2021
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This paper aims at identifying the key reservoirs sustaining river low flow during dry summer. The reservoirs are discriminated based on the geological nature of the formations and the geochemical signature of groundwater. Results show the increasing importance to low-flow support of a specific reservoir, showing only a limited outcrop area and becoming preponderant in the heart of the dry season. This finding will contribute to improving the protective measures for preserving low flows.
Elena Mondino, Anna Scolobig, Marco Borga, and Giuliano Di Baldassarre
Nat. Hazards Earth Syst. Sci., 21, 2811–2828, https://doi.org/10.5194/nhess-21-2811-2021, https://doi.org/10.5194/nhess-21-2811-2021, 2021
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Survey data collected over time can provide new insights on how different people respond to floods and can be used in models to study the complex coevolution of human–water systems. We present two methods to collect such data, and we compare the respective results. Risk awareness decreases only for women, while preparedness takes different trajectories depending on the damage suffered. These results support a more diverse representation of society in flood risk modelling and risk management.
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Amponsah, W., Marchi, L., Zoccatelli, D., Boni, G., Cavalli, M., Comiti, F., Crema, S., Lucía, A., Marra, F., and Borga, M.: Hydrometeorological characterisation of a flash flood associated with major geomorphic effects: Assessment of peak discharge uncertainties and analysis of the runoff response, J. Hydrometeor., 17, 3063–3077, https://doi.org/10.1175/JHM-D-16-0081.1, 2016.
Amponsah, W., Ayral, P. A., Boudevillain, B., Bouvier, C., Braud, I., Brunet, P., Delrieu, G., Didon-Lescot, J.F., Gaume, E., Lebouc, L., Marchi, L., Marra, F., Morin, E., Nord, G., Payrastre, O., Zoccatelli, D., and Borga, M.: “EuroMedeFF” SEDOO OMP, https://doi.org/10.6096/mistrals-hymex.1493,, 2018.
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Short summary
The EuroMedeFF database comprises 49 events that occurred in France, Israel, Germany, Slovenia, Romania, and Italy. The dataset may be of help to hydrologists as well as other scientific communities because it offers benchmark data for the verification of flash flood hydrological models and for hydro-meteorological forecast systems. It provides, moreover, a sample of rainfall and flood discharge extremes in different climates.
The EuroMedeFF database comprises 49 events that occurred in France, Israel, Germany, Slovenia,...
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