The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 8
Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-3309-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-3309-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 8
Research article
 | 
27 Aug 2025
Research article |  | 27 Aug 2025

Improved modelling of mountain snowpacks with spatially distributed precipitation bias correction derived from historical reanalysis

Manon von Kaenel and Steven A. Margulis

Viewed

Total article views: 611 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
479 107 25 611 53 21 36
  • HTML: 479
  • PDF: 107
  • XML: 25
  • Total: 611
  • Supplement: 53
  • BibTeX: 21
  • EndNote: 36
Views and downloads (calculated since 19 Nov 2024)
Cumulative views and downloads (calculated since 19 Nov 2024)

Viewed (geographical distribution)

Total article views: 611 (including HTML, PDF, and XML) Thereof 597 with geography defined and 14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Aug 2025
Download
Short summary
Accurate snow water equivalent (SWE) estimates are crucial for water management in snowmelt-dependent regions, but bias and uncertainty in precipitation data make this challenging. Here, we leverage insights from a historical SWE data product to correct these biases and yield more accurate SWE estimates and streamflow predictions. Incorporating snow depth observations further boosts accuracy. This study demonstrates an effective method to downscale and bias-correct global mountain precipitation.
Read more
Share