Published May 20, 2025 | Version v2
Dataset Open

The European-wide Mountain Tourism Meteorological and Snow Indicators (MTMSI) dataset : annual snow depth maxima

Authors/Creators

  • 1. Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d'Etudes de la Neige, Grenoble and Toulouse, France
  • 2. Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, Grenoble, France
  • 3. Météo-France, Direction de la Climatologie et des Services Climatiques, Toulouse, France
  • 4. Deutscher Wetterdienst, Regionales Klimabüro Potsdam, Germany
  • 5. Arctic Space Centre, Finnish Meteorological Institute, Helsinki, Finland
  • 6. School of Technology and Innovations, University of Vaasa, Vaasa, Finland

Description

Abstract

The data set provides reanalysis of annual maxima of snow depth, from 1962 to 2015, at NUTS-3 scale (Nomenclature des Unités Territoriales Statistiques, eur, 2015) by steps of 100 m elevation. It relates to the C3S Mountain Tourism Meteorological and Snow Indicators (MTMSI, Morin et al., 2021) data set, consisting of various meteorological and snow indicators at annual scale. 

Snow conditions are computed by the snow cover model Crocus, which takes meteorological forcings as inputs to simulate the state of the snowpack. The atmospheric reanalysis fields were extracted from the UERRA MESCAN-SURFEX (UERRA) reanalysis, which spans the time period from 1961 to 2015, at 5.5 km horizontal resolution (Soci et al., 2016), for selected grid points by NUTS-3 areas. In mountainous areas, the data is provided for several elevation steps of 100 m, while for non-mountainous areas the data is provided at the mean elevation of the NUTS-3 region. This data set was used as a reference for adjusting climate projections by Evin et al. (2025).

Technical details

  • File "max-sd-NS-year_UERRA.nc"
    Under the variable 'max-sd-NS-year' of the netcdf file, the user can extract the annual snow depth maxima (in meter) at NUTS-3 scale, that have been calculated on the hydrological year from Y-1/08/01 to Y/07/31. If there was no snow during the hydrological year of one NUTS/elevation pair, snow depth maxima is set as NA. The extract has NUTS/elevation*year dimension.
  • File "MTMSI_lat_lon_zs.nc"
    The metadata file contains values of latitude and longitude of the barycenter of the NUTS-3 associated with the annual maxima timeseries. The two files relate to each other as the i row from the annual maxima files is located at the i value of longitude, latitude and elevation from the metadata file.
  • File "nuts_details.gpkg"
    The GeoPackage file contain information about the NUTS-3 for which timeseries are available. 'nuts_id' attribute gives the identifier of each NUTS-3, 'nuts_name' gives its name, 'relief' provides the NUTS-3 type (either mountain called 'montagne', or plain called 'plaine'), finally 'alt_ideal' gives the mean elevation of the NUTS-3 rounded to the hundred.

 

Files

Files (5.0 MB)

Name Size Download all
md5:c15f6f5525c7a1da8de41fcfb9fb168f
1.2 MB Download
md5:42993d5805095a0c1b29f44e7a7df9cf
113.4 kB Download
md5:ac8b8066540ad756c0677e6dd9f1b54c
3.6 MB Download

Additional details

Software

Repository URL
https://github.com/elisakmr/MTMSI-evaluation
Programming language
R

References

  • Regions in the European Union: nomenclature of territorial units for statistics, NUTS 2013/EU-28. Technical report, Publications Office, 2015.
  • Samuel Morin, Raphaëlle Samacoı̈ts, Hugues François, Carlo M. Carmagnola, Bruno Abegg, O. Cenk Demiroglu, Marc Pons, Jean-Michel Soubeyroux, Matthieu Lafaysse, Sam Franklin, Guy Griffiths, Debbie Kite, Anna Amacher Hoppler, Emmanuelle George, Carlo Buontempo, Samuel Almond, Ghislain Dubois, and Adeline Cauchy. Pan-European meteorological and snow indicators of climate change impact on ski tourism. Climate Services, 22:100215, April 2021. ISSN 2405-8807. doi: 10.1016/j.cliser.2021.100215. URL https://www.sciencedirect.com/science/article/pii/S2405880721000030.
  • Cornel Soci, Eric Bazile, François Besson, and Tomas Landelius. High-resolution precipitation re-analysis system for climatological purposes. Telus A: Dynamic Meteorology and Oceanography, 68(1):29879, December 2016. ISSN null. doi: 10.3402/tellusa.v68.29879. URL https://doi.org/10.3402/tellusa.v68.29879. Publisher: Taylor & Francis eprint: https://doi.org/10.3402/tellusa.v68.29879.
  • G. Evin, E. Le Roux, E. Kamir, and S. Morin. Estimating changes in extreme snow load in Europe as a function of global warming levels. Cold Regions Science and Technology, 231:104424, March 2025. ISSN 0165-232X. doi: 10.1016/j.coldregions.2025.104424. URL https://www.sciencedirect.com/science/article/pii/S0165232X25000072