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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:

  • 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 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
md5:8451ab4e84b9b6a74a708fb4be4243b6
485 Bytes Download
data_monthly_AT_HZB.zip
md5:ea6eb1b530458509f7372a148e5c89fd
2.1 MB Download
data_monthly_CH_METEOSWISS.zip
md5:38b40c19a2175044d954cfc35e6b53e9
1.1 MB Download
data_monthly_CH_SLF.zip
md5:dd528ff10eff2b0b39e894c679e3cb6c
534.4 kB Download
data_monthly_DE_DWD.zip
md5:c233520c4033c8214d84c388f0ef8064
2.8 MB Download
data_monthly_FR_METEOFRANCE.zip
md5:eded8cc27c03672da77f2685069f6feb
602.9 kB Download
data_monthly_IT_BZ.zip
md5:a6bca01321f4a2413bd690cfdf9dd34c
159.6 kB Download
data_monthly_IT_FVG.zip
md5:214715146127886b20167777d102b9df
61.2 kB Download
data_monthly_IT_LOMBARDIA.zip
md5:a6fb1dcaa8bd18ab1d1cc64f8ad078e2
33.9 kB Download
data_monthly_IT_TN.zip
md5:f28f7cdebe81939e14a820327f5e5bcc
107.6 kB Download
data_monthly_IT_VDA_CF.zip
md5:806f3c2bb7f272db6f513ae3658c481b
73.9 kB Download
data_monthly_IT_VENETO.zip
md5:c2a494380df12184fc817eb175631a34
58.6 kB Download
data_monthly_SI_ARSO.zip
md5:b5fe77d77bc0b23eb6be9f3356f1e1d2
632.1 kB 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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