Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-2895-2025
https://doi.org/10.5194/tc-19-2895-2025
Research article
 | 
06 Aug 2025
Research article |  | 06 Aug 2025

Assimilation of L-band interferometric synthetic aperture radar (InSAR) snow depth retrievals for improved snowpack quantification

Prabhakar Shrestha and Ana P. Barros

Viewed

Total article views: 2,699 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,146 185 368 2,699 76 111
  • HTML: 2,146
  • PDF: 185
  • XML: 368
  • Total: 2,699
  • BibTeX: 76
  • EndNote: 111
Views and downloads (calculated since 05 Sep 2024)
Cumulative views and downloads (calculated since 05 Sep 2024)

Viewed (geographical distribution)

Total article views: 2,699 (including HTML, PDF, and XML) Thereof 2,686 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Oct 2025
Download
Short summary
The study presents the first assimilation of snow depth obtained from repeat pass airborne L-band synthetic aperture radar with a snow hydrology model. The assimilation of snow depth was found to be equivalent to the downscaling of precipitation forcing with a bias correction, which improved the snowpack simulation compared to ground-based observations.
Share