Articles | Volume 10, issue 2
https://doi.org/10.5194/gi-10-297-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-10-297-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Nov 2021
Research article |
| 24 Nov 2021
| 24 Nov 2021
Evaluating methods for reconstructing large gaps in historic snow depth time series
Johannes Aschauer
CORRESPONDING AUTHOR
Snow and Atmosphere, WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Christoph Marty
Snow and Atmosphere, WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
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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.
Methods for reconstruction of winter long data gaps in snow depth time series are compared. The...
