The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 8
Articles | Volume 18, issue 8
https://doi.org/10.5194/tc-18-3495-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-3495-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 8
Research article
 | 
08 Aug 2024
Research article |  | 08 Aug 2024

Reanalyzing the spatial representativeness of snow depth at automated monitoring stations using airborne lidar data

Jordan N. Herbert, Mark S. Raleigh, and Eric E. Small

Viewed

Total article views: 2,037 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,654 317 66 2,037 51 90 124
  • HTML: 1,654
  • PDF: 317
  • XML: 66
  • Total: 2,037
  • Supplement: 51
  • BibTeX: 90
  • EndNote: 124
Views and downloads (calculated since 20 Nov 2023)
Cumulative views and downloads (calculated since 20 Nov 2023)

Viewed (geographical distribution)

Total article views: 2,037 (including HTML, PDF, and XML) Thereof 1,986 with geography defined and 51 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Nov 2025
Download
Short summary
Automated stations measure snow properties at a single point but are frequently used to validate data that represent much larger areas. We use lidar snow depth data to see how often the mean snow depth surrounding a snow station is within 10 cm of the snow station depth at different scales. We found snow stations overrepresent the area-mean snow depth in ~ 50 % of cases, but the direction of bias at a site is temporally consistent, suggesting a site could be calibrated to the surrounding area.
Read more
Share