Articles | Volume 20, issue 11
https://doi.org/10.5194/tc-20-6157-2026
https://doi.org/10.5194/tc-20-6157-2026
Research article
 | 
30 Oct 2026
Research article |  | 30 Oct 2026

Assessment of snow depth retrievability from passive microwave observations over Arctic sea ice: a global sensitivity analysis

Ziyu Yan, Yufang Ye, Georg Heygster, Bin Cheng, Carolina Gabarró, Ferran Hernández-Macià, and Xiao Cheng

Viewed

Total article views: 497 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
304 149 44 497 58 33 29
  • HTML: 304
  • PDF: 149
  • XML: 44
  • Total: 497
  • Supplement: 58
  • BibTeX: 33
  • EndNote: 29
Views and downloads (calculated since 28 May 2026)
Cumulative views and downloads (calculated since 28 May 2026)

Viewed (geographical distribution)

Total article views: 497 (including HTML, PDF, and XML) Thereof 441 with geography defined and 56 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Oct 2026
Download
Short summary
Passive microwave retrieval of snow depth remains constrained by snow and ice conditions. By combining the Snow Microwave Radiative Transfer model with global sensitivity analysis, this study quantifies how snow grain radius, density, and sea ice type affect snow depth retrievability across channels. The small grain radius of new snow limits retrieval performance and increases its sensitivity to sea ice type, while the use of the 89 GHz channel may help address this limitation.
Share
Altmetrics
Final-revised paper
Preprint