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Published March 2, 2021 | Version v1.2
Dataset Open

Snow cover in the European Alps: Station observations of snow depth and depth of snowfall

  • 1. Institute for Earth Observation, Eurac Research, Bolzano, 39100, Italy
  • 2. Institute for Alpine Environment, Eurac Research, Bolzano, 39100, Italy
  • 3. Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d'Etudes de la Neige, Grenoble, 38000, France
  • 4. WSL Institute for Snow and Avalanche Research SLF, Davos, 7260, Switzerland
  • 5. Department of Geography and Regional Sciences, University of Graz, Graz, 8010, Austria
  • 6. Società Meteorologica Italiana, Moncalieri, 10024, Italy
  • 7. Chair of Hydrology and River Basin Management, Technical University Munich, Munich, 80333, Germany / Innovation Lab for Sustainability, University Innsbruck, Innsbruck, 6020, Austria
  • 8. Federal Office of Meteorology and Climatology, MeteoSwiss, Zurich, 8058, Switzerland
  • 9. Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento, 38122, Italy
  • 10. Institute of Atmospheric Sciences and Climate (ISAC-CNR), CNR, Turin, 10133, Italy
  • 11. Centro Valanghe di Arabba, Arabba, 32020, Italy
  • 12. Meteotrentino, Provincia Autonoma di Trento, Trento, 38122, Italy
  • 13. Dipartimento di Scienze della Terra, dell'Ambiente e della Vita - DISTAV, Università degli Studi di Genova, Genova, 16132, Italy
  • 14. Chair of Hydrology and River Basin Management, Technical University Munich, Munich, 80333, Germany
  • 15. Institute for Geography, University Innsbruck, Innsbruck, 6020, Austria
  • 16. ZAMG, Innsbruck, 6020, Austria
  • 17. ARPA Friuli Venezia Giulia, Palmanova, 33057, Italy
  • 18. ARPA Piemonte, Torino, 10135, Italy
  • 19. Assetto idrogeologico dei bacini montani, Region Valle d'Aosta, Aosta, 11100 Italy / Fondazione Montagna sicura, Courmayeur, 11013, Italy
  • 20. Météo-France, Direction de la Climatologie et des Services Climatiques, Toulouse, 31057, France
  • 21. Meteorology Office, Slovenian Environment Agency, Ljubljana, 1000, Slovenia
  • 22. Centro Nivometeorologico, ARPA Lombardia, Bormio, 23032, ItalyCentro Nivometeorologico, ARPA Lombardia, Bormio, 23032, Italy
  • 23. Abteilung I/3 - Wasserhaushalt (HZB), BMLRT, Vienna, 1010, Austria


Auxiliary files, code, and data for paper published in The Cryosphere:

Observed snow depth trends in the European Alps 1971 to 2019


Auxiliary files:

  • Auxiliary figures to the paper (time series showing the consistency of averaging monthly mean snow depth of stations within 500 m elevation bins; times of seasonal snow depth and snow cover duration indices).
  • Time series comparing spatial statistical gap filling from paper to gap filling using snow depth assimilation into Crocus snow model (only for subset of stations in the French Alps)
  • Plots of monthly time series of snow depth, for each station.
  • Aggregate results from spatial consistency (statistical simulation using neighboring stations), and time series of observed versus simulated monthly snow depths.


Code (working copy, not cleaned, all written in R statistical software):

  • to read in the different data sources
  • to do quality checks and data processing
  • to perform statistical analyses as in paper
  • to produce figures and tables as in paper



  • Daily and monthly stations snow depth and depth of snowfall, as .zips, grouped by data provider.
  • Information on column content is provided in separate files "data_[daily|monthly]_00_column_names_content.txt".
  • > 2000 stations from Austria, Germany, France, Italy, Switzerland, and Slovenia
  • Meta data (name, latitude, longitude, elevation) in "meta_all.csv", along with an interactive map "meta_interactive_map.html", and column information in "meta_00_column_names_content.txt".
  • If you use the data you agree to adhere to the respective data provider's terms as listed in "00_DATA_LICENSE_AND_TERMS.PDF"
  • The license terms especially (and additionally to any other terms of the single data providers) include: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. [from CC BY 4.0



Version history:

v1.2: uploaded data

v1.1: changes to and as consequence from submitting a revised manuscript

v1.0: initial upload



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Additional details

Related works

Is source of
Journal article: 10.5194/tc-15-1343-2021 (DOI)


CliRSnow – Statistically combine climate models with remote sensing to provide high-resolution snow projections for the near and distant future. 795310
European Commission