The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 8
Articles | Volume 19, issue 8
https://doi.org/10.5194/tc-19-2895-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-2895-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 8
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: 5,609 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,024 738 847 5,609 166 289
  • HTML: 4,024
  • PDF: 738
  • XML: 847
  • Total: 5,609
  • BibTeX: 166
  • EndNote: 289
Views and downloads (calculated since 05 Sep 2024)
Cumulative views and downloads (calculated since 05 Sep 2024)

Viewed (geographical distribution)

Total article views: 5,609 (including HTML, PDF, and XML) Thereof 5,524 with geography defined and 85 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 08 Jun 2026
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.
Read more
Share