Articles | Volume 23, issue 4
https://doi.org/10.5194/nhess-23-1383-2023
© Author(s) 2023. 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-23-1383-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Apr 2023
Research article |
| 18 Apr 2023
| 18 Apr 2023
Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation
Cécile Duvillier
Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, 38000
Grenoble, France
Nicolas Eckert
CORRESPONDING AUTHOR
Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, 38000
Grenoble, France
Guillaume Evin
Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, 38000
Grenoble, France
Michael Deschâtres
Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, 38000
Grenoble, France
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Guillaume Evin, Benoit Hingray, Guillaume Thirel, Agnès Ducharne, Laurent Strohmenger, Lola Corre, Yves Tramblay, Jean-Philippe Vidal, Jérémie Bonneau, François Colleoni, Joël Gailhard, Florence Habets, Frédéric Hendrickx, Louis Héraut, Peng Huang, Matthieu Le Lay, Claire Magand, Paola Marson, Céline Monteil, Simon Munier, Alix Reverdy, Jean-Michel Soubeyroux, Yoann Robin, Jean-Pierre Vergnes, Mathieu Vrac, and Eric Sauquet
EGUsphere, https://doi.org/10.5194/egusphere-2025-2727, https://doi.org/10.5194/egusphere-2025-2727, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Explore2 provides hydrological projections for 1,735 French catchments. Using QUALYPSO, this study assesses uncertainties, including internal variability. By the end of the century, low flows are projected to decline in southern France under high emissions, while other indicators remain uncertain. Emission scenarios and regional climate models are key uncertainty sources. Internal variability is often as large as climate-driven changes.
Loïs Ribet, Frédéric Liébault, Laurent Borgniet, Michaël Deschâtres, and Gabriel Melun
Earth Surf. Dynam., 13, 607–627, https://doi.org/10.5194/esurf-13-607-2025, https://doi.org/10.5194/esurf-13-607-2025, 2025
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This work presents a protocol and a model to obtain the sizes of the pebbles in mountain rivers from uncrewed aerial vehicle images. A total of 12 rivers located in southeastern France were photographed to build the model. The results show that the model has little error and should be usable for similar rivers. The grain size of mountain rivers is an important parameter for environmental diagnostics by mapping the aquatic habitats and for flood management by estimating the pebble fluxes during floods.
Erich H. Peitzsch, Justin T. Martin, Ethan M. Greene, Nicolas Eckert, Adrien Favillier, Jason Konigsberg, Nickolas Kichas, Daniel K. Stahle, Karl W. Birkeland, Kelly Elder, and Gregory T. Pederson
EGUsphere, https://doi.org/10.5194/egusphere-2025-2217, https://doi.org/10.5194/egusphere-2025-2217, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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Snow avalanches pose substantial risks to communities and public safety in Colorado. We studied tree growth patterns impacted by avalanches from 1698 to 2020 alongside meteorological data. We found variations in avalanche frequency revealing a decline in regional avalanche activity and shifts in the causes of these types of large and widespread avalanche events. This knowledge can enhance avalanche safety measures and infrastructure design.
Valentin Dura, Guillaume Evin, Anne-Catherine Favre, and David Penot
EGUsphere, https://doi.org/10.5194/egusphere-2025-1779, https://doi.org/10.5194/egusphere-2025-1779, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Traditional precipitation analyses often misrepresent intense rainfall's spatial variability. This study evaluates different spatial covariances to capture this variability in a geostatistical framework. The best covariance includes anisotropy derived from daily climate model simulations, offering a reliable alternative to anisotropy estimation using rain gauges. These findings highlight the importance of including anisotropy when generating precipitation inputs for hydrological modeling.
Elisa Kamir, Samuel Morin, Guillaume Evin, Penelope Gehring, Bodo Wichura, and Ali Nadir Arslan
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-225, https://doi.org/10.5194/essd-2025-225, 2025
Preprint under review for ESSD
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This article describes a dataset of annual snow depth maximum across Europe, from 1961 to 2015, based on a regional reanalysis. It evaluates the performance of the dataset, against in-situ snow depth observations. This dataset is found to perform well in most environments, with challenges at high elevation and some coastal areas. Assessing the quality of this dataset is necessary in order to use it as a baseline to infer future changes of extreme snow loads under climate change.
Eric Sauquet, Guillaume Evin, Sonia Siauve, Ryma Aissat, Patrick Arnaud, Maud Bérel, Jérémie Bonneau, Flora Branger, Yvan Caballero, François Colléoni, Agnès Ducharne, Joël Gailhard, Florence Habets, Frédéric Hendrickx, Louis Héraut, Benoît Hingray, Peng Huang, Tristan Jaouen, Alexis Jeantet, Sandra Lanini, Matthieu Le Lay, Claire Magand, Louise Mimeau, Céline Monteil, Simon Munier, Charles Perrin, Olivier Robelin, Fabienne Rousset, Jean-Michel Soubeyroux, Laurent Strohmenger, Guillaume Thirel, Flore Tocquer, Yves Tramblay, Jean-Pierre Vergnes, and Jean-Philippe Vidal
EGUsphere, https://doi.org/10.5194/egusphere-2025-1788, https://doi.org/10.5194/egusphere-2025-1788, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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The Explore2 project has provided an unprecedented set of hydrological projections in terms of the number of hydrological models used and the spatial and temporal resolution. The results have been made available through various media. Under the high-emission scenario, the hydrological models mostly agree on the decrease in seasonal flows in the south of France, confirming its hotspot status, and on the decrease in summer flows throughout France, with the exception of the northern part of France.
Yves Tramblay, Guillaume Thirel, Laurent Strohmenger, Guillaume Evin, Lola Corre, Louis Heraut, and Eric Sauquet
EGUsphere, https://doi.org/10.5194/egusphere-2025-1635, https://doi.org/10.5194/egusphere-2025-1635, 2025
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How climate change impacts floods in France? Using simulations for 3000 rivers in climate projections, results show that flood trends vary depending on the region. In the north, floods may become more severe, but in many other areas, the trends are mixed. Floods from intense rainfall are becoming more frequent, while snowmelt floods are strongly decreasing. Overall, the study shows that understanding what causes floods is key to predicting how they are likely to change with the climate.
Louise Dallons Thanneur, Florie Giacona, Nicolas Eckert, and Philippe Frey
EGUsphere, https://doi.org/10.5194/egusphere-2025-761, https://doi.org/10.5194/egusphere-2025-761, 2025
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This paper proposes a methodology to develop a long-range multirisk database. Combining scattered pre-existing records and intensive research in historical archives provides a 1600–2020 record of past events in a valley of the French Alps. It goes far beyond any inventory existing in terms of number of events, temporal coverage and detailed description of events characteristics in a mountain context. Spatio-temporal patterns are analysed, opening perspective for multirisk assessment.
Maria Staudinger, Martina Kauzlaric, Alexandre Mas, Guillaume Evin, Benoit Hingray, and Daniel Viviroli
Nat. Hazards Earth Syst. Sci., 25, 247–265, https://doi.org/10.5194/nhess-25-247-2025, https://doi.org/10.5194/nhess-25-247-2025, 2025
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Various combinations of antecedent conditions and precipitation result in floods of varying degrees. Antecedent conditions played a crucial role in generating even large ones. The key predictors and spatial patterns of antecedent conditions leading to flooding at the basin's outlet were distinct. Precipitation and soil moisture from almost all sub-catchments were important for more frequent floods. For rarer events, only the predictors of specific sub-catchments were important.
Valentin Dura, Guillaume Evin, Anne-Catherine Favre, and David Penot
Hydrol. Earth Syst. Sci., 28, 2579–2601, https://doi.org/10.5194/hess-28-2579-2024, https://doi.org/10.5194/hess-28-2579-2024, 2024
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The increase in precipitation as a function of elevation is poorly understood in areas with complex topography. In this article, the reproduction of these orographic gradients is assessed with several precipitation products. The best product is a simulation from a convection-permitting regional climate model. The corresponding seasonal gradients vary significantly in space, with higher values for the first topographical barriers exposed to the dominant air mass circulations.
Guillaume Evin, Matthieu Le Lay, Catherine Fouchier, David Penot, Francois Colleoni, Alexandre Mas, Pierre-André Garambois, and Olivier Laurantin
Hydrol. Earth Syst. Sci., 28, 261–281, https://doi.org/10.5194/hess-28-261-2024, https://doi.org/10.5194/hess-28-261-2024, 2024
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Hydrological modelling of mountainous catchments is challenging for many reasons, the main one being the temporal and spatial representation of precipitation forcings. This study presents an evaluation of the hydrological modelling of 55 small mountainous catchments of the northern French Alps, focusing on the influence of the type of precipitation reanalyses used as inputs. These evaluations emphasize the added value of radar measurements, in particular for the reproduction of flood events.
Isabelle Ousset, Guillaume Evin, Damien Raynaud, and Thierry Faug
Nat. Hazards Earth Syst. Sci., 23, 3509–3523, https://doi.org/10.5194/nhess-23-3509-2023, https://doi.org/10.5194/nhess-23-3509-2023, 2023
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This paper deals with an exceptional snow and rain event in a Mediterranean region of France which is usually not prone to heavy snowfall and its consequences on a particular building that collapsed completely. Independent analyses of the meteorological episode are carried out, and the response of the building to different snow and rain loads is confronted to identify the main critical factors that led to the collapse.
Erwan Le Roux, Guillaume Evin, Raphaëlle Samacoïts, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
The Cryosphere, 17, 4691–4704, https://doi.org/10.5194/tc-17-4691-2023, https://doi.org/10.5194/tc-17-4691-2023, 2023
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We assess projected changes in snowfall extremes in the French Alps as a function of elevation and global warming level for a high-emission scenario. On average, heavy snowfall is projected to decrease below 3000 m and increase above 3600 m, while extreme snowfall is projected to decrease below 2400 m and increase above 3300 m. At elevations in between, an increase is projected until +3 °C of global warming and then a decrease. These results have implications for the management of risks.
Kaltrina Maloku, Benoit Hingray, and Guillaume Evin
Hydrol. Earth Syst. Sci., 27, 3643–3661, https://doi.org/10.5194/hess-27-3643-2023, https://doi.org/10.5194/hess-27-3643-2023, 2023
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High-resolution precipitation data, needed for many applications in hydrology, are typically rare. Such data can be simulated from daily precipitation with stochastic disaggregation. In this work, multiplicative random cascades are used to disaggregate time series of 40 min precipitation from daily precipitation for 81 Swiss stations. We show that very relevant statistics of precipitation are obtained when precipitation asymmetry is accounted for in a continuous way in the cascade generator.
Juliette Blanchet, Alix Reverdy, Antoine Blanc, Jean-Dominique Creutin, Périne Kiennemann, and Guillaume Evin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-197, https://doi.org/10.5194/hess-2023-197, 2023
Revised manuscript not accepted
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The Alpine region is strongly affected by torrential floods, sometimes leading to severe negative impacts on society, economy, and the environment. Understanding such natural hazards and their drivers is essential to mitigate related risks. In this article we study the atmospheric conditions at the origin of damaging torrential events in the Northern French Alps over the long run, using a database of reported occurrence of damaging torrential flooding in the Grenoble conurbation since 1851.
Laurent Strohmenger, Eric Sauquet, Claire Bernard, Jérémie Bonneau, Flora Branger, Amélie Bresson, Pierre Brigode, Rémy Buzier, Olivier Delaigue, Alexandre Devers, Guillaume Evin, Maïté Fournier, Shu-Chen Hsu, Sandra Lanini, Alban de Lavenne, Thibault Lemaitre-Basset, Claire Magand, Guilherme Mendoza Guimarães, Max Mentha, Simon Munier, Charles Perrin, Tristan Podechard, Léo Rouchy, Malak Sadki, Myriam Soutif-Bellenger, François Tilmant, Yves Tramblay, Anne-Lise Véron, Jean-Philippe Vidal, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 27, 3375–3391, https://doi.org/10.5194/hess-27-3375-2023, https://doi.org/10.5194/hess-27-3375-2023, 2023
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We present the results of a large visual inspection campaign of 674 streamflow time series in France. The objective was to detect non-natural records resulting from instrument failure or anthropogenic influences, such as hydroelectric power generation or reservoir management. We conclude that the identification of flaws in flow time series is highly dependent on the objectives and skills of individual evaluators, and we raise the need for better practices for data cleaning.
Léo Viallon-Galinier, Pascal Hagenmuller, and Nicolas Eckert
The Cryosphere, 17, 2245–2260, https://doi.org/10.5194/tc-17-2245-2023, https://doi.org/10.5194/tc-17-2245-2023, 2023
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Avalanches are a significant issue in mountain areas where they threaten recreationists and human infrastructure. Assessments of avalanche hazards and the related risks are therefore an important challenge for local authorities. Meteorological and snow cover simulations are thus important to support operational forecasting. In this study we combine it with mechanical analysis of snow profiles and find that observed avalanche data improve avalanche activity prediction through statistical methods.
Maxime Morel, Guillaume Piton, Damien Kuss, Guillaume Evin, and Caroline Le Bouteiller
Nat. Hazards Earth Syst. Sci., 23, 1769–1787, https://doi.org/10.5194/nhess-23-1769-2023, https://doi.org/10.5194/nhess-23-1769-2023, 2023
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In mountain catchments, damage during floods is generally primarily driven by the supply of a massive amount of sediment. Predicting how much sediment can be delivered by frequent and infrequent events is thus important in hazard studies. This paper uses data gathered during the maintenance operation of about 100 debris retention basins to build simple equations aiming at predicting sediment supply from simple parameters describing the upstream catchment.
Juliette Blanchet, Alix Reverdy, Antoine Blanc, Jean-Dominique Creutin, Périne Kiennemann, and Guillaume Evin
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-276, https://doi.org/10.5194/nhess-2022-276, 2023
Manuscript not accepted for further review
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We study the atmospheric conditions at the origin of damaging torrential events in the Northern French Alps over the long run. We consider seven atmospheric variables that describe the nature of the air masses involved and the possible triggers of precipitation and we try to isolate the most discriminating variables. The results show that humidity and particularly humidity transport plays the greatest role under westerly flows while instability potential is mostly at play under southerly flows.
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.
Erwan Le Roux, Guillaume Evin, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
Earth Syst. Dynam., 13, 1059–1075, https://doi.org/10.5194/esd-13-1059-2022, https://doi.org/10.5194/esd-13-1059-2022, 2022
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Anticipating risks related to climate extremes is critical for societal adaptation to climate change. In this study, we propose a statistical method in order to estimate future climate extremes from past observations and an ensemble of climate change simulations. We apply this approach to snow load data available in the French Alps at 1500 m elevation and find that extreme snow load is projected to decrease by −2.9 kN m−2 (−50 %) between 1986–2005 and 2080–2099 for a high-emission scenario.
Luuk Dorren, Frédéric Berger, Franck Bourrier, Nicolas Eckert, Charalampos Saroglou, Massimiliano Schwarz, Markus Stoffel, Daniel Trappmann, Hans-Heini Utelli, and Christine Moos
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-32, https://doi.org/10.5194/nhess-2022-32, 2022
Publication in NHESS not foreseen
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In the daily practice of rockfall hazard analysis, trajectory simulations are used to delimit runout zones. To do so, the expert needs to separate "realistic" from "unrealistic" simulated groups of trajectories. This is often done on the basis of reach probability values. This paper provides a basis for choosing a reach probability threshold value for delimiting the rockfall runout zone, based on recordings and simulations of recent rockfall events at 18 active rockfall sites in Europe.
Guillaume Evin, Samuel Somot, and Benoit Hingray
Earth Syst. Dynam., 12, 1543–1569, https://doi.org/10.5194/esd-12-1543-2021, https://doi.org/10.5194/esd-12-1543-2021, 2021
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This research paper proposes an assessment of mean climate change responses and related uncertainties over Europe for mean seasonal temperature and total seasonal precipitation. An advanced statistical approach is applied to a large ensemble of 87 high-resolution EURO-CORDEX projections. For the first time, we provide a comprehensive estimation of the relative contribution of GCMs and RCMs, RCP scenarios, and internal variability to the total variance of a very large ensemble.
Hippolyte Kern, Nicolas Eckert, Vincent Jomelli, Delphine Grancher, Michael Deschatres, and Gilles Arnaud-Fassetta
The Cryosphere, 15, 4845–4852, https://doi.org/10.5194/tc-15-4845-2021, https://doi.org/10.5194/tc-15-4845-2021, 2021
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Snow avalanches are a major component of the mountain cryosphere that often put people, settlements, and infrastructures at risk. This study investigated avalanche path morphological factors controlling snow deposit volumes, a critical aspect of snow avalanche dynamics that remains poorly known. Different statistical techniques show a slight but significant link between deposit volumes and avalanche path morphology.
Guillaume Evin, Matthieu Lafaysse, Maxime Taillardat, and Michaël Zamo
Nonlin. Processes Geophys., 28, 467–480, https://doi.org/10.5194/npg-28-467-2021, https://doi.org/10.5194/npg-28-467-2021, 2021
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Forecasting the height of new snow is essential for avalanche hazard surveys, road and ski resort management, tourism attractiveness, etc. Météo-France operates a probabilistic forecasting system using a numerical weather prediction system and a snowpack model. It provides better forecasts than direct diagnostics but exhibits significant biases. Post-processing methods can be applied to provide automatic forecasting products from this system.
Erwan Le Roux, Guillaume Evin, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
The Cryosphere, 15, 4335–4356, https://doi.org/10.5194/tc-15-4335-2021, https://doi.org/10.5194/tc-15-4335-2021, 2021
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Extreme snowfall can cause major natural hazards (avalanches, winter storms) that can generate casualties and economic damage. In the French Alps, we show that between 1959 and 2019 extreme snowfall mainly decreased below 2000 m of elevation and increased above 2000 m. At 2500 m, we find a contrasting pattern: extreme snowfall decreased in the north, while it increased in the south. This pattern might be related to increasing trends in extreme snowfall observed near the Mediterranean Sea.
Erwan Le Roux, Guillaume Evin, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
Nat. Hazards Earth Syst. Sci., 20, 2961–2977, https://doi.org/10.5194/nhess-20-2961-2020, https://doi.org/10.5194/nhess-20-2961-2020, 2020
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To minimize the risk of structure collapse due to extreme snow loads, structure standards rely on 50-year return levels of ground snow load (GSL), i.e. levels exceeded once every 50 years on average, that do not account for climate change. We study GSL data in the French Alps massifs from 1959 and 2019 and find that these 50-year return levels are decreasing with time between 900 and 4800 m of altitude, but they still exceed return levels of structure standards for half of the massifs at 1800 m.
Damien Raynaud, Benoit Hingray, Guillaume Evin, Anne-Catherine Favre, and Jérémy Chardon
Hydrol. Earth Syst. Sci., 24, 4339–4352, https://doi.org/10.5194/hess-24-4339-2020, https://doi.org/10.5194/hess-24-4339-2020, 2020
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This research paper proposes a weather generator combining two sampling approaches. A first generator recombines large-scale atmospheric situations. A second generator is applied to these atmospheric trajectories in order to simulate long time series of daily regional precipitation and temperature. The method is applied to daily time series in Switzerland. It reproduces adequately the observed climatology and improves the reproduction of extreme precipitation values.
Cited articles
ADEME and IGN: Contribution de l'IGN à l'établissement des bilans carbone des forêts des territoires (PCAET), 122-4, https://www.territoires-climat.ademe.fr/Uploads/media/default/0001/01/02555bb8e15c98da373799a510ae5561aaadb2b0.pdf (last access: 20 February 2023), 2019.
Ammann, W. and Bebi, P.: WSL Institute for Snow and Avalanche Research SLF, Der Lawinenwinter 1999, Ereignisanalyse, SLF Davos, 588 pp., https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A17698/datastream/PDF/Eidg._Institut_f%C3%BCr_Schnee-_und_Lawinenforschung-2000-Der_Lawinenwinter_1999._Ereignisanalyse-%28published_version%29.pdf (last access: 20 February 2023), 2000.
Ancey, C.: Guide Neige et avalanches Connaissances, pratiques,
sécurité, Editions Quae, ISBN 978-2857447979, Paris, 1996.
Ancey, C., Rapin, F., and Taillandier, J. M.: Stratégie de protection
des établissements hospitaliers de Saint-Hilaire-du-Touvet contre le
risque d'avalanches, irstea, 108 pp., https://hal.inrae.fr/hal-02578607 (last access: 20 February 2023), 1999.
Ancey, C., Rapin, F., Martin, E., Coleou, C., Naaim, M., and Brunot, G.:
L'avalanche de Péclerey du 9 février 1999, Houille Blanche, 5,
45–53, 2000.
Arnalds, P., Jonasson, K., and Sigurdson, S. T.: Avalanche hazard zoning in
Iceland based on individual risk, Ann. Glaciol., 38, 285–290,
2004.
Aydin, A. and Eker, R.: GIS-based snow avalanche hazard mapping:
Bayburt-AşağıDere catchment case, J. Environ. Biol., 38, 937–943, 2017.
Baghdadi, N., Selle, A., and Biagiotti, I.: Le Pôle Thématique
National des Surfaces Continentales Theia, in: La télédétection
et les données aériennes au service de l'eau, Société Société Hydrotechnique de France (SHF), Centre National d’Etudes Spatiales (CNES), Marseille, France, hal: hal-02881903, 2021.
Barbolini, M., Pagliardi, M., Ferro, F., and Corradeghini, P.: Avalanche
hazard mapping over large undocumented areas, Nat. Hazards, 56,
451–464, 2011.
Bartelt, P., Bühler, Y., Buser, O., Christen, M., and Meier, L.:
Modeling mass-dependent flow regime transitions to predict the stopping and
depositional behavior of snow avalanches, J. Geophys. Res.-Earth, 117, F01015, https://doi.org/10.1029/2010JF001957, 2012.
Bebi, P., Kulakowski, D., and Rixen, C.: Snow avalanche disturbances in
forest ecosystems – State of research and implications for management,
Forest Ecol. Manage., 257, 1883–1892, 2009.
Bertrand, M., Liébault, F., and Piégay, H.: Debris-flow
susceptibility of upland catchments, Nat. Hazards, 67, 497–511, 2013.
Bonnefoy, M., Borrel, G., Richard, D., Bélanger, L., and Naaim, M.: La
carte de localisation des phénomènes d'avalanche (CLPA): enjeux et
perspectives, Sciences Eaux Territoires, 2, 6–14, 2010.
Bourova, E., Maldonado, E., Leroy, J.-B., Alouani, R., Eckert, N., Bonnefoy-Demongeot, M., and Deschatres, M.: A new web-based system to improve the monitoring of snow avalanche hazard in France, Nat. Hazards Earth Syst. Sci., 16, 1205–1216, https://doi.org/10.5194/nhess-16-1205-2016, 2016.
Bühler, Y., Kumar, S., Veitinger, J., Christen, M., Stoffel, A., and Snehmani: Automated identification of potential snow avalanche release areas based on digital elevation models, Nat. Hazards Earth Syst. Sci., 13, 1321–1335, https://doi.org/10.5194/nhess-13-1321-2013, 2013.
Bühler, Y., von Rickenbach, D., Stoffel, A., Margreth, S., Stoffel, L., and Christen, M.: Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large-scale hazard indication mapping, Nat. Hazards Earth Syst. Sci., 18, 3235–3251, https://doi.org/10.5194/nhess-18-3235-2018, 2018.
Bühler, Y., Hafner, E. D., Zweifel, B., Zesiger, M., and Heisig, H.: Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps, The Cryosphere, 13, 3225–3238, https://doi.org/10.5194/tc-13-3225-2019, 2019.
Bühler, Y., Bebi, P., Christen, M., Margreth, S., Stoffel, L., Stoffel, A., Marty, C., Schmucki, G., Caviezel, A., Kühne, R., Wohlwend, S., and Bartelt, P.: Automated avalanche hazard indication mapping on a statewide scale, Nat. Hazards Earth Syst. Sci., 22, 1825–1843, https://doi.org/10.5194/nhess-22-1825-2022, 2022.
Caetano, M., Nunes, V., and Nunes, A.: CORINE Land Cover 2006 for Continental
Portugal, Technical Report, Instituto Geográfico Português, https://www.dgterritorio.gov.pt/sites/default/files/documentos-publicos/2017-6-7-14-34-50-93__RTC-61.pdf (last access: 20 February 2023), 2009.
Castebrunet, H., Eckert, N., Giraud, G., Durand, Y., and Morin, S.: Projected changes of snow conditions and avalanche activity in a warming climate: the French Alps over the 2020–2050 and 2070–2100 periods, The Cryosphere, 8, 1673–1697, https://doi.org/10.5194/tc-8-1673-2014, 2014.
Chueca Cía, J., Andrés, A. J., and Montañés Magallón,
A.: A proposal for avalanche susceptibility mapping in the Pyrenees using
GIS: the Formigal-Peyreget area (Sheet 145-I; scale 1 : 25 000), J.
Maps, 10, 203–210, 2014.
Djokic, D. and Ye, Z.: DEM preprocessing for efficient watershed delineation.
Hydrologic and hydraulic modeling support with geographic information
systems, Environmental Systems Research Institute, Redlands, 65–84, 2000.
Durand, Y., Giraud, G., Laternser, M., Etchevers, P., Mérindol, L., and
Lesaffre, B.: Reanalysis of 47 years of climate in the French Alps
(1958–2005): climatology and trends for snow cover, J. Appl. Meteorol. Clim., 48, 2487–2512, 2009.
Duvillier, C., Eckert, N., Evin, G., and Deschâtres, M.: Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation – source data (Version_1), Zenodo [data set], https://doi.org/10.5281/zenodo.6517730, 2022.
Eckert, N. and Giacona, F.: Towards a holistic paradigm for long-term snow avalanche risk assessment and mitigation, Ambio, 52, 711–732, https://doi.org/10.1007/s13280-022-01804-1, 2023.
Eckert, N., Naaim, M., and Parent, É.: Long-term avalanche hazard
assessment with a Bayesian depth-averaged propagation model, J. Glaciol., 56, 563–586, 2010.
Eckert, N., Keylock, C. J., Bertrand, D., Parent, E., Faug, T., Favier, P., and Naaim, M.: Quantitative risk and optimal design approaches in the snow
avalanche field: Review and extensions, Cold Reg. Sci. Technol.,
79, 1–19, 2012.
Eckert, N., Naaim, M., Giacona, F., Favier, P., Lavigne, A., Richard, D.,
Bourrier, F., and Parent, E.: Repenser les fondements du zonage règlementaire des
risques en montagne “récurrents”, Houille Blanche, 2, 38–67,
2018.
Evin, G., Sielenou, P. D., Eckert, N., Naveau, P., Hagenmuller, P., and
Morin, S.: Extreme avalanche cycles: Return levels and probability
distributions depending on snow and meteorological conditions, Weather and
Climate Extremes, 33, 100344, https://doi.org/10.1016/j.wace.2021.100344, 2021.
Fischer, J. T., Kofler, A., Fellin, W., Granig, M., and Kleemayr, K.:
Multivariate parameter optimization for computational snow avalanche
simulation, J. Glaciol., 61, 875–888, 2015.
Gaume, J., Eckert, N., Chambon, G., Naaim, M., and Bel, L.: Mapping extreme
snowfalls in the French Alps using max-stable processes, Water Resour.
Res., 49, 1079–1098, 2013.
Giacona, F., Eckert, N., and Martin, B.: A 240-year history of avalanche risk in the Vosges Mountains based on non-conventional (re)sources, Nat. Hazards Earth Syst. Sci., 17, 887–904, https://doi.org/10.5194/nhess-17-887-2017, 2017.
Giacona, F., Eckert, N., Mainieri, R., Martin, B., Corona, C., Lopez-Saez,
J., Monnet, J. M., Naaim, M., and Stoffel, M: Avalanche activity and socio-environmental changes
leave strong footprints in forested landscapes: a case study in the Vosges
medium-high mountain range, Ann. Glaciol., 59, 111–133, 2018.
Giffard-Roisin, S., Yang, M., Charpiat, G., Kumler Bonfanti, C., Kégl,
B., and Monteleoni, C.: Tropical cyclone track forecasting using fused deep
learning from aligned reanalysis data, Frontiers in Big Data, 3, https://doi.org/10.3389/fdata.2020.00001, 2020.
Gruber, U. and Bartelt, P.: Snow avalanche hazard modelling of large areas
using shallow water numerical methods and GIS, Environ. Model. Softw., 22, 1472–1481, 2007.
Heredia, M. B., Prieur, C., and Eckert, N.: Nonparametric estimation of
aggregated Sobol'indices: application to a depth averaged snow avalanche
model, Reliab. Eng. Syst. Safe., 212, 107422, https://doi.org/10.1016/j.ress.2020.107422, 2021.
Heredia, M. B., Prieur, C., and Eckert, N.: Global sensitivity analysis
with aggregated Shapley effects, application to avalanche hazard assessment,
Reliab. Eng. Syst. Safe., 222, 108420, https://doi.org/10.1016/j.ress.2022.108420, 2022.
IRASMOS Consortium: Best practice of integral risk management of snow
avalanches, rock avalanches and debris flows in Europe, Delivrable 5.4.
Sixth Framework Programme (2002–2006), 138 pp., http://irasmos.slf.ch/results_wp5.htm (last access: 20 February 2023), 2009.
Jasiewicz, J. and Stepinski, T. F.: Geomorphons a pattern recognition
approach to classification and mapping of landforms, Geomorphology, 182,
147–156, 2013.
Karas, A., Karbou, F., Giffard-Roisin, S., Durand, P., and Eckert, N.:
Automatic color detection-based method applied to sentinel-1 sar images for
snow avalanche debris monitoring, IEEE T. Geosci. Remote, 60, 5219117, https://doi.org/10.1109/TGRS.2021.3131853, 2021.
Keylock, C. J., McClung, D. M., and Magnússon, M. M.: Avalanche risk
mapping by simulation, J. Glaciol., 45, 303–314, 1999.
Kinner, D. A.: Delineation and characterization of the Boulder Creek.
Comprehensive Water Quality of the Boulder Creek Watershed, Colorado, During
High-flow and Low-flow Conditions, U.S. Geological Survey, 2000, vol. 3, no. 27, https://books.google.fr/books?hl=fr&lr=&id=8YXuAAAAMAAJ&oi=fnd&pg=PR3&dq=Delineation+and+characterization+of+the+Boulder+Creek.+Comprehensive+Water+Quality+of+the+Boulder+Creek+Watershed,+Colorado,+During+High-flow+and+Low-flow&ots=x4b0Dg5myu&sig=HNUcqNPiUoKBPNSocUxmoJhhiQs&redir_esc=y#v=onepage&q=Delineation and characterization of the Boulder Creek. Comprehensive Water Quality of the Boulder Creek Watershed%2C Colorado%2C During High-flow and Low-flow&f=false (last access: 20 February 2023), 2003.
Kumar, S., Srivastava, P. K., and Bhatiya, S.: Geospatial probabilistic
modelling for release area mapping of snow avalanches, Cold Reg. Sci.
Technol., 165, 102813, https://doi.org/10.1016/j.coldregions.2019.102813, 2019.
Lavigne, A., Bel, L., Parent, E., and Eckert, N.: A model for
spatio-temporal clustering using multinomial probit regression: application
to avalanche counts, Environmetrics, 23, 522–534, 2012.
Lavigne, A., Eckert, N., Bel, L., and Parent, E.: Adding expert
contributions to the spatiotemporal modelling of avalanche activity under
different climatic influences, J. Roy. Stat. Soc. C-App., 64, 651–671, 2015.
Lavigne, A., Eckert, N., Bel, L., Deschâtres, M., and Parent, E.:
Modelling the spatio-temporal repartition of right-truncated data: an
application to avalanche runout altitudes in Hautes-Savoie, Stoch.
Env. Res. Risk A., 31, 629–644, 2017.
Lehning, M., Doorschot, J., and Bartelt, P.: A snowdrift index based on
SNOWPACK model calculations, Ann. Glaciol., 31, 382–386, 2000.
Le Roux, E., Evin, G., Eckert, N., Blanchet, J., and Morin, S.: Elevation-dependent trends in extreme snowfall in the French Alps from 1959 to 2019, The Cryosphere, 15, 4335–4356, https://doi.org/10.5194/tc-15-4335-2021, 2021.
Maggioni, M. and Gruber, U.: The influence of topographic parameters on
avalanche release dimension and frequency, Cold Reg. Sci. Technol., 37, 407–419, 2003.
Maggioni, M., Gruber, U., and Stoffel, A.: Definition and characterisation
of potential avalanche release areas, in: Proceedings of the ESRI Conference, 22nd Annual ESRI International User Conference, 8–12 July 2002,
San Diego, USA, https://proceedings.esri.com/library/userconf/proc02/pap1161/p1161.htm (last access: 20 February 2023), 2002.
McClung, D. and Schaerer, P. A.: The avalanche handbook, The Mountaineers
Books, ISBN 9780898868098, 2006.
Naaim, M., Naaim-Bouvet, F., Faug, T., and Bouchet, A.: Dense snow
avalanche modeling: flow, erosion, deposition and obstacle effects, Cold
Reg. Sci. Technol., 39, 193–204, 2004.
Naaim, M., Durand, Y., Eckert, N., and Chambon, G.: Dense avalanche
friction coefficients: influence of physical properties of snow, J.
Glaciol., 59, 771–782, 2013.
Naaim-Bouvet, F. and Richard, D.: Les risques naturels en montagne,
Editions Quae, ISBN 9782759223862, 2015.
Nolting, S., Marin, C., Steger, S., Schneiderbauer, S., Notarnicola, C.,
and Zebisch, M.: Regional scale statistical mapping of snow avalanche
likelihood and its combination with an optical remote sensing based
avalanche detection approach–first attempts for the province of South Tyrol
(Italy), in: International Snow Science Workshop (ISSW), 7–12 October 2018, Innsbruck, Austria, https://arc.lib.montana.edu/snow-science/objects/ISSW2018_P04.10.pdf (last access: 20 February 2023), 2018.
Oller, P., Baeza, C., and Furdada, G.: Empirical α–β runout
modelling of snow avalanches in the Catalan Pyrenees, J. Glaciol.,
67, 1043–1054, 2021.
Ortner, G., Bründl, M., Kropf, C. M., Röösli, T., Bühler, Y., and Bresch, D. N.: Large-scale risk assessment on snow avalanche hazard in alpine regions, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2022-112, in review, 2022.
Pérez-Guillén, C., Techel, F., Hendrick, M., Volpi, M., van Herwijnen, A., Olevski, T., Obozinski, G., Pérez-Cruz, F., and Schweizer, J.: Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland, Nat. Hazards Earth Syst. Sci., 22, 2031–2056, https://doi.org/10.5194/nhess-22-2031-2022, 2022.
Schweizer, J., Bruce Jamieson, J., and Schneebeli, M.: Snow avalanche
formation, Rev. Geophys., 41, 1016, https://doi.org/10.1029/2002RG000123, 2003.
Sielenou, P. D., Viallon-Galinier, L., Hagenmuller, P., Naveau, P., Morin,
S., Dumont, M., Verfaillie, D., and Eckert, N.: Combining random forests and
class-balancing to discriminate between three classes of avalanche activity
in the French Alps, Cold Reg. Sci. Technol., 187, 103276, https://doi.org/10.1016/j.coldregions.2021.103276, 2021.
Stojkovic, M., Milivojevic, N., and Stojanovic, Z.: Use of information
technology in hydrological analysis, E-Society Journal, 3, 105–116, 2012.
Sykes, J., Haegeli, P., and Bühler, Y.: Automated snow avalanche release area delineation in data-sparse, remote, and forested regions, Nat. Hazards Earth Syst. Sci., 22, 3247–3270, https://doi.org/10.5194/nhess-22-3247-2022, 2022.
Veitinger, J., Purves, R. S., and Sovilla, B.: Potential slab avalanche release area identification from estimated winter terrain: a multi-scale, fuzzy logic approach, Nat. Hazards Earth Syst. Sci., 16, 2211–2225, https://doi.org/10.5194/nhess-16-2211-2016, 2016.
Verfaillie, D., Lafaysse, M., Déqué, M., Eckert, N., Lejeune, Y., and Morin, S.: Multi-component ensembles of future meteorological and natural snow conditions for 1500 m altitude in the Chartreuse mountain range, Northern French Alps, The Cryosphere, 12, 1249–1271, https://doi.org/10.5194/tc-12-1249-2018, 2018.
Viallon-Galinier, L., Hagenmuller, P., and Eckert, N.: Combining snow physics and machine learning to predict avalanche activity: does it help?, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2022-108, in review, 2022.
Yariyan, P., Avand, M., Abbaspour, R. A., Karami, M., and Tiefenbacher, J.
P.: GIS-based spatial modeling of snow avalanches using four novel ensemble
models, Sci. Total Environ., 745, 141008, https://doi.org/10.1016/j.scitotenv.2020.141008, 2020.
Zevenbergen, L. W. and Thorne, C. R.: Quantitative analysis of land surface
topography, Earth Surf. Proc. Land., 12, 47–56, 1987.
Zgheib, T., Giacona, F., Granet-Abisset, A. M., Morin, S., Lavigne, A., and
Eckert, N.: Spatio-temporal variability of avalanche risk in the French
Alps, Reg. Environ. Change, 22, 1–18, 2022.
Zgheib, T., Giacona, F., Morin, S., Granet-Abisset, A. M., Favier, P.,
Eckert, N.: Diachronic quantitative snow avalanche risk assessment as a
function of forest cover changes, J. Glaciol., in press, 2023.
Short summary
This study develops a method that identifies individual potential release areas (PRAs) of snow avalanches based on terrain analysis and watershed delineation and demonstrates its efficiency in the French Alps context using an extensive cadastre of past avalanche limits. Results may contribute to better understanding local avalanche hazard. The work may also foster the development of more efficient PRA detection methods based on a rigorous evaluation scheme.
This study develops a method that identifies individual potential release areas (PRAs) of snow...
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