Articles | Volume 11, issue 2
https://doi.org/10.5194/tc-11-923-2017
https://doi.org/10.5194/tc-11-923-2017
Research article
 | 
13 Apr 2017
Research article |  | 13 Apr 2017

Eurasian snow depth in long-term climate reanalyses

Martin Wegmann, Yvan Orsolini, Emanuel Dutra, Olga Bulygina, Alexander Sterin, and Stefan Brönnimann

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Short summary
We investigate long-term climate reanalyses datasets to infer their quality in reproducing snow depth values compared to in situ measured data from meteorological stations that go back to 1900. We found that the long-term reanalyses do a good job in reproducing snow depths but have some questionable snow states early in the 20th century. Thus, with care, climate reanalyses can be a valuable tool to investigate spatial snow evolution in global warming and climate change studies.
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