Version v1.0

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

Description

Auxiliary files, code, and data for paper: Observed snow depth trends in the European Alps 1971 to 2019; currently submitted at The Cryosphere Auxiliary files: aux_paper.zip: Table 2 extended with 500m elevation bins; 30 year moving window trends larger and with all intermediate windows 1961-2019; and sensitivity to gap filling (most figures and tables from paper applied to data without gap filling) 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 (will be uploaded after peer review): Daily and monthly stations snow depth and depth of snowfall. > 2000 stations from Austria, Germany, France, Italy, Switzerland, and Slovenia Meta data (name, latitude, longitude, elevation) in file, along with an interactive map file If you use the data you agree to adhere to the respective data provider's terms as listed in file 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: v1.0: initial upload

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.9

FAIR Score

79%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Atmospheric Science

Field

Earth and Planetary Sciences

Domain

Physical Sciences

Confidence Score

100%

Source

Open Alex

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00