The Cryosphere
The Cryosphere
TC
Articles | Volume 16, issue 6
Articles | Volume 16, issue 6
https://doi.org/10.5194/tc-16-2147-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-2147-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 6
Research article
 | 
09 Jun 2022
Research article |  | 09 Jun 2022

Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods

Moritz Buchmann, John Coll, Johannes Aschauer, Michael Begert, Stefan Brönnimann, Barbara Chimani, Gernot Resch, Wolfgang Schöner, and Christoph Marty

Viewed

Total article views: 2,968 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,124 752 92 2,968 231 99 148
  • HTML: 2,124
  • PDF: 752
  • XML: 92
  • Total: 2,968
  • Supplement: 231
  • BibTeX: 99
  • EndNote: 148
Views and downloads (calculated since 17 Mar 2022)
Cumulative views and downloads (calculated since 17 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,968 (including HTML, PDF, and XML) Thereof 2,833 with geography defined and 135 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Nov 2025
Download
Short summary
Knowledge about inhomogeneities in a data set is important for any subsequent climatological analysis. We ran three well-established homogenization methods and compared the identified break points. By only treating breaks as valid when detected by at least two out of three methods, we enhanced the robustness of our results. We found 45 breaks within 42 of 184 investigated series; of these 70 % could be explained by events recorded in the station history.
Read more
Share