Articles | Volume 14, issue 4
Earth Syst. Sci. Data, 14, 1707–1733, 2022
https://doi.org/10.5194/essd-14-1707-2022
Earth Syst. Sci. Data, 14, 1707–1733, 2022
https://doi.org/10.5194/essd-14-1707-2022
Data description paper
13 Apr 2022
Data description paper | 13 Apr 2022

The S2M meteorological and snow cover reanalysis over the French mountainous areas: description and evaluation (1958–2021)

Matthieu Vernay et al.

Related authors

Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network
Bertrand Cluzet, Matthieu Lafaysse, César Deschamps-Berger, Matthieu Vernay, and Marie Dumont
The Cryosphere, 16, 1281–1298, https://doi.org/10.5194/tc-16-1281-2022,https://doi.org/10.5194/tc-16-1281-2022, 2022
Short summary
Statistical post-processing of ensemble forecasts of the height of new snow
Jari-Pekka Nousu, Matthieu Lafaysse, Matthieu Vernay, Joseph Bellier, Guillaume Evin, and Bruno Joly
Nonlin. Processes Geophys., 26, 339–357, https://doi.org/10.5194/npg-26-339-2019,https://doi.org/10.5194/npg-26-339-2019, 2019
Short summary
Winter tourism under climate change in the Pyrenees and the French Alps: relevance of snowmaking as a technical adaptation
Pierre Spandre, Hugues François, Deborah Verfaillie, Marc Pons, Matthieu Vernay, Matthieu Lafaysse, Emmanuelle George, and Samuel Morin
The Cryosphere, 13, 1325–1347, https://doi.org/10.5194/tc-13-1325-2019,https://doi.org/10.5194/tc-13-1325-2019, 2019
Short summary

Related subject area

Snow and Sea Ice
Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica
Nicolas Ghilain, Stéphane Vannitsem, Quentin Dalaiden, Hugues Goosse, Lesley De Cruz, and Wenguang Wei
Earth Syst. Sci. Data, 14, 1901–1916, https://doi.org/10.5194/essd-14-1901-2022,https://doi.org/10.5194/essd-14-1901-2022, 2022
Short summary
A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
Yubin Fan, Chang-Qing Ke, and Xiaoyi Shen
Earth Syst. Sci. Data, 14, 781–794, https://doi.org/10.5194/essd-14-781-2022,https://doi.org/10.5194/essd-14-781-2022, 2022
Short summary
Reconstruction of a daily gridded snow water equivalent product for the land region above 45° N based on a ridge regression machine learning approach
Donghang Shao, Hongyi Li, Jian Wang, Xiaohua Hao, Tao Che, and Wenzheng Ji
Earth Syst. Sci. Data, 14, 795–809, https://doi.org/10.5194/essd-14-795-2022,https://doi.org/10.5194/essd-14-795-2022, 2022
Short summary
Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers
Xiaoyi Shen, Chang-Qing Ke, and Haili Li
Earth Syst. Sci. Data, 14, 619–636, https://doi.org/10.5194/essd-14-619-2022,https://doi.org/10.5194/essd-14-619-2022, 2022
Short summary
The NIEER AVHRR snow cover extent product over China – a long-term daily snow record for regional climate research
Xiaohua Hao, Guanghui Huang, Tao Che, Wenzheng Ji, Xingliang Sun, Qin Zhao, Hongyu Zhao, Jian Wang, Hongyi Li, and Qian Yang
Earth Syst. Sci. Data, 13, 4711–4726, https://doi.org/10.5194/essd-13-4711-2021,https://doi.org/10.5194/essd-13-4711-2021, 2021
Short summary

Cited articles

Ajami, H., Khan, U., Tuteja, N. K., and Sharma, A.: Development of a computationally efficient semi-distributed hydrologic modeling application for soil moisture, lateral flow and runoff simulation, Environ. Model. Softw., 85, 319–331, https://doi.org/10.1016/j.envsoft.2016.09.002, 2016. a
Beaumet, J., Ménégoz, M., Gallée, H., Fettweis, X., Morin, S., Six, D., Vincent, C., Wilhelm, B., and Anquetin, S.: Twentieth century temperature and snow cover changes in the French Alps using a high-resolution regional climate model and reanalyses, Reg. Environ. Change, 21, 114, https://doi.org/10.1007/s10113-021-01830-x, 2022. a
Bénichou, P. and Le Breton, O.: AURELHY : une méthode d'analyse utilisant le relief pour les besoins de l'hydrométéorologie, in: Deuxièmes journées hydrologiques de l'ORSTOM à Montpellier, Colloques et Séminaires, 299–304, ORSTOM, http://www.documentation.ird.fr/hor/fdi:25973 (last access: 2018), 1987. a
Beniston, M., Farinotti, D., Stoffel, M., Andreassen, L. M., Coppola, E., Eckert, N., Fantini, A., Giacona, F., Hauck, C., Huss, M., Huwald, H., Lehning, M., López-Moreno, J.-I., Magnusson, J., Marty, C., Morán-Tejéda, E., Morin, S., Naaim, M., Provenzale, A., Rabatel, A., Six, D., Stötter, J., Strasser, U., Terzago, S., and Vincent, C.: The European mountain cryosphere: a review of its current state, trends, and future challenges, The Cryosphere, 12, 759–794, https://doi.org/10.5194/tc-12-759-2018, 2018. a
Beven, K. J. and Kirkby, M.: A physically based, variable contributing area model of basin hydrology/Un modéle à base physique de zone d'appel variable de l'hydrologie du bassin versant, Hydrolog. Sci. Bull., 24, 43–69, https://doi.org/10.1080/02626667909491834, 1979. a
Download
Short summary
This paper introduces the latest version of the freely available S2M dataset which provides estimates of both meteorological and snow cover variables, as well as various avalanche hazard diagnostics at different elevations, slopes and aspects for the three main French high-elevation mountainous regions. A complete description of the system and the dataset is provided, as well as an overview of the possible uses of this dataset and an objective assessment of its limitations.