Articles | Volume 10, issue 2
https://doi.org/10.5194/gi-10-297-2021
https://doi.org/10.5194/gi-10-297-2021
Research article
 | 
24 Nov 2021
Research article |  | 24 Nov 2021

Evaluating methods for reconstructing large gaps in historic snow depth time series

Johannes Aschauer and Christoph Marty

Model code and software

source code: Evaluating methods for reconstructing large gaps in historic snow depth time series Johannes Aschauer https://doi.org/10.5281/zenodo.5547996

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Short summary
Methods for reconstruction of winter long data gaps in snow depth time series are compared. The methods use snow depth data from neighboring stations or calculate snow depth from temperature and precipitation data. All methods except one are able to reproduce the average snow depth and maximum snow depth in a winter reasonably well. For reconstructing the number of snow days with snow depth ≥ 1 cm, results suggest using a snow model instead of relying on data from neighboring stations.