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

Bertoncini, André; Pomeroy, John W.

doi:https://doi.org/10.5194/hess-29-983-2025

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

Data sets

Daily Precipitation University of Saskatchewan Data and Uncertainty Estimation Code for the Canadian Rockies A. Bertoncini and J. W. Pomeroy https://doi.org/10.5281/zenodo.14854262

Model code and software

Daily Precipitation University of Saskatchewan Data and Uncertainty Estimation Code for the Canadian Rockies A. Bertoncini and J. W. Pomeroy https://doi.org/10.5281/zenodo.14854262

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.