Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 10, issue 2
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.
https://doi.org/10.5194/gi-10-297-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 2
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

Viewed

Total article views: 4,425 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,331 981 113 4,425 129 130
  • HTML: 3,331
  • PDF: 981
  • XML: 113
  • Total: 4,425
  • BibTeX: 129
  • EndNote: 130
Views and downloads (calculated since 09 Jun 2021)
Cumulative views and downloads (calculated since 09 Jun 2021)

Viewed (geographical distribution)

Total article views: 4,425 (including HTML, PDF, and XML) Thereof 4,059 with geography defined and 366 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Apr 2026
Download
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.
Read more
Share