Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 4
Articles | Volume 29, issue 4
https://doi.org/10.5194/hess-29-983-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-983-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 4
Research article
 | 
25 Feb 2025
Research article |  | 25 Feb 2025

Quantifying spatiotemporal and elevational precipitation gauge network uncertainty in the Canadian Rockies

André Bertoncini and John W. Pomeroy

Viewed

Total article views: 723 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
513 177 33 723 24 23
  • HTML: 513
  • PDF: 177
  • XML: 33
  • Total: 723
  • BibTeX: 24
  • EndNote: 23
Views and downloads (calculated since 02 Feb 2024)
Cumulative views and downloads (calculated since 02 Feb 2024)

Viewed (geographical distribution)

Total article views: 723 (including HTML, PDF, and XML) Thereof 715 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Apr 2025
Download
Short summary
Rainfall and snowfall spatial estimation for hydrological purposes is often compromised in cold mountain regions due to inaccessibility, creating sparse gauge networks with few high-elevation gauges. This study developed a framework for quantifying gauge network uncertainty, considering elevation to aid in future gauge placement in mountain regions. Results show that gauge placement above 2000 m is the most cost-effective measure to decrease gauge network uncertainty in the Canadian Rockies.
Read more
Share