Articles | Volume 17, issue 2
https://doi.org/10.5194/tc-17-1053-2023
https://doi.org/10.5194/tc-17-1053-2023
Research article
 | 
03 Mar 2023
Research article |  | 03 Mar 2023

A sensor-agnostic albedo retrieval method for realistic sea ice surfaces: model and validation

Yingzhen Zhou, Wei Li, Nan Chen, Yongzhen Fan, and Knut Stamnes

Viewed

Total article views: 2,227 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,509 638 80 2,227 48 65 53
  • HTML: 1,509
  • PDF: 638
  • XML: 80
  • Total: 2,227
  • Supplement: 48
  • BibTeX: 65
  • EndNote: 53
Views and downloads (calculated since 18 Jan 2022)
Cumulative views and downloads (calculated since 18 Jan 2022)

Viewed (geographical distribution)

Total article views: 2,227 (including HTML, PDF, and XML) Thereof 2,136 with geography defined and 91 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Nov 2024
Download
Short summary
We present a method to compute albedo (percentage of the light reflected) of the cryosphere surface using observations from optical satellite sensors. This method can be applied to sea ice, snow-covered ice, melt pond, open ocean, and mixtures thereof. Evaluation of the albedo values calculated using this approach demonstrated excellent agreement with observations. In addition, we have included a statistical comparison of the proposed method's results with those derived from other approaches.