Dataset Open Access

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

Matiu, Michael; Crespi, Alice; Bertoldi, Giacomo; Carmagnola, Carlo Maria; Marty, Christoph; Morin, Samuel; Schöner, Wolfgang; Cat Berro, Daniele; Chiogna, Gabriele; De Gregorio, Ludovica; Kotlarski, Sven; Majone, Bruno; Resch, Gernot; Terzago, Silvia; Valt, Mauro; Beozzo, Walter; Cianfarra, Paola; Gouttevin, Isabelle; Marcolini, Giorgia; Notarnicola, Claudia; Petitta, Marcello; Scherrer, Simon Christian; Strasser, Ulrich; Winkler, Michael; Zebisch, Marc; Cicogna, Andrea; Cremonini, Roberto; Debernardi, Andrea; Faletto, Mattia; Gaddo, Mauro; Giovannini, Lorenzo; Mercalli, Luca; Soubeyroux, Jean-Michel; Sušnik, Andrea; Trenti, Alberto; Urbani, Stefano; Weilguni, Viktor

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

Observed snow depth trends in the European Alps 1971 to 2019

 https://doi.org/10.5194/tc-15-1343-2021

 

Auxiliary files:

  • aux_paper.zip: 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).
  • aux_paper_crocus_comparison.zip: 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)
  • aux_paper_monthly_time_series.zip: Plots of monthly time series of snow depth, for each station.
  • aux_paper_spatial_consistency.zip: 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): code.zip

  • 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

 

Data:

  • > 2000 stations from Austria, Germany, France, Italy, Switzerland, and Slovenia
  • Daily stations snow depth and depth of snowfall, as .zips, grouped by data provider. Information on column content is provided in "data_daily_00_column_names_content.txt".
  • Monthly stations mean snow depth, sum of depth of snowfall, maximum snow depth, days with snow cover (1-100cm thresholds), as .zips, grouped by data provider. Information on column content is provided in "data_monthly_00_column_names_content.txt".
  • 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:

v1.3: added maxHS and SCD (with various 1-100cm thresholds) to monthly data

v1.2: uploaded data

v1.1: changes to aux-paper.zip and code.zip as consequence from submitting a revised manuscript

v1.0: initial upload

Files (2.1 GB)
Name Size
00_DATA_LICENSE_AND_TERMS.pdf
md5:6ceb8450cf9cacb2ea093488e210eb93
122.6 kB Download
aux-paper.zip
md5:94a06206fa0b7260624966b7ffba0e42
5.0 MB Download
aux_paper_crocus_comparison.zip
md5:b9b15973b6c05e8ae08a1cfc2c6a2284
63.6 MB Download
aux_paper_monthly_time_series.zip
md5:b0bae32d14de3a5399c75ec6a6afb980
481.2 MB Download
aux_paper_spatial_consistency.zip
md5:61dd137dd0cb805979a28e57e49d1148
1.5 GB Download
code.zip
md5:31fc18ff1102353a682b25e40b516bfd
265.9 kB Download
data_daily_00_column_names_content.txt
md5:ee2e1727b886acd2eff3c7bf4597d3ff
480 Bytes Download
data_daily_DE_DWD.zip
md5:4c8ecf73298caff1faa353eb78f8df03
40.6 MB Download
data_daily_FR_METEOFRANCE.zip
md5:82d4704578d05e3dd5b1805f85dab9f7
11.1 MB Download
data_daily_IT_BZ.zip
md5:25b8765cecd4c022a2f58f84564e1900
2.7 MB Download
data_daily_IT_FVG.zip
md5:d3cf362e3c98435208662836e5e94d8d
1.1 MB Download
data_daily_IT_LOMBARDIA.zip
md5:03c6550d25a577be3f618a54e029b643
571.4 kB Download
data_daily_IT_TN.zip
md5:a8a16b55c9829271cdbac2c207a1b18c
2.2 MB Download
data_daily_IT_VDA_CF.zip
md5:c3b4e5bb4f94350c96d855b359ff6609
837.4 kB Download
data_monthly_00_column_names_content.txt
md5:bc036e77c3128390d77477dca3e12086
777 Bytes Download
data_monthly_AT_HZB.zip
md5:23df5345a791060be8dcaab34435326d
3.4 MB Download
data_monthly_CH_METEOSWISS.zip
md5:ea274655d16079343894592089053365
1.6 MB Download
data_monthly_CH_SLF.zip
md5:a760d86cbde7a8721bdc389309c268d0
898.9 kB Download
data_monthly_DE_DWD.zip
md5:c27243f1ac48d4f8251ffe24282aaa44
4.4 MB Download
data_monthly_FR_METEOFRANCE.zip
md5:4aef4bb452a7583916ebbd0e67808022
966.2 kB Download
data_monthly_IT_BZ.zip
md5:628fed164c73889cf897ffafe778227d
251.1 kB Download
data_monthly_IT_FVG.zip
md5:16976d3d754f6c8d28968846131c8b8c
96.7 kB Download
data_monthly_IT_LOMBARDIA.zip
md5:4f8b2b072457f7382dea0bdd70d50289
53.1 kB Download
data_monthly_IT_TN.zip
md5:0b48ade5f4e087fa0cbb1460f751af14
165.1 kB Download
data_monthly_IT_VDA_CF.zip
md5:3ae72ff7d72ade4d253724786f170d06
122.0 kB Download
data_monthly_IT_VENETO.zip
md5:a9846918e7a7692fe4cb3e5265eb08e8
99.2 kB Download
data_monthly_SI_ARSO.zip
md5:b9e089e4c4b71504fa2feebcbbe94d92
1.0 MB Download
meta_00_column_names_content.txt
md5:4442cd48f18314eb6244887754fa92f8
496 Bytes Download
meta_all.csv
md5:1fa996520d752d33f04e53285c6e6612
217.8 kB Download
meta_interactive_map.html
md5:e631e6b6cd36e453935d0b5f4cc2adf2
3.9 MB Download
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