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: 1,446 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,174 217 55 1,446 41 56 54
  • HTML: 1,174
  • PDF: 217
  • XML: 55
  • Total: 1,446
  • Supplement: 41
  • BibTeX: 56
  • EndNote: 54
Views and downloads (calculated since 20 Nov 2023)
Cumulative views and downloads (calculated since 20 Nov 2023)

Viewed (geographical distribution)

Total article views: 1,446 (including HTML, PDF, and XML) Thereof 1,412 with geography defined and 34 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jan 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