Articles | Volume 5, issue 1
https://doi.org/10.5194/gi-5-219-2016
https://doi.org/10.5194/gi-5-219-2016
Research article
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16 Jun 2016
Research article | Highlight paper |  | 16 Jun 2016

A 7-year dataset for driving and evaluating snow models at an Arctic site (Sodankylä, Finland)

Richard Essery, Anna Kontu, Juha Lemmetyinen, Marie Dumont, and Cécile B. Ménard

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Short summary
Physically based models that predict the properties of snow on the ground are used in many applications, but meteorological input data required by these models are hard to obtain in cold regions. Monitoring at the Sodankyla research station allows construction of model input and evaluation datasets covering several years for the first time in the Arctic. The data are used to show that a sophisticated snow model developed for warmer and wetter sites can perform well in very different conditions.