The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 2
Articles | Volume 18, issue 2
https://doi.org/10.5194/tc-18-747-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-747-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 2
Research article
 | 
20 Feb 2024
Research article |  | 20 Feb 2024

Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17

Siddharth Singh, Michael Durand, Edward Kim, and Ana P. Barros

Viewed

Total article views: 1,482 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,146 266 70 1,482 75 106
  • HTML: 1,146
  • PDF: 266
  • XML: 70
  • Total: 1,482
  • BibTeX: 75
  • EndNote: 106
Views and downloads (calculated since 13 Sep 2023)
Cumulative views and downloads (calculated since 13 Sep 2023)

Viewed (geographical distribution)

Total article views: 1,482 (including HTML, PDF, and XML) Thereof 1,440 with geography defined and 42 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Aug 2025
Download
Short summary
Seasonal snowfall accumulation plays a critical role in climate. The water stored in it is measured by the snow water equivalent (SWE), the amount of water released after completely melting. We demonstrate a Bayesian physical–statistical framework to estimate SWE from airborne X- and Ku-band synthetic aperture radar backscatter measurements constrained by physical snow hydrology and radar models. We explored spatial resolutions and vertical structures that agree well with ground observations.
Read more
Share