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: 3,357 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,303 913 141 3,357 174 238
  • HTML: 2,303
  • PDF: 913
  • XML: 141
  • Total: 3,357
  • BibTeX: 174
  • EndNote: 238
Views and downloads (calculated since 02 Feb 2024)
Cumulative views and downloads (calculated since 02 Feb 2024)

Viewed (geographical distribution)

Total article views: 3,357 (including HTML, PDF, and XML) Thereof 3,327 with geography defined and 30 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 07 Jun 2026
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