The Cryosphere
The Cryosphere
TC
Articles | Volume 15, issue 6
Articles | Volume 15, issue 6
https://doi.org/10.5194/tc-15-2757-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-2757-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 6
Research article
 | 
18 Jun 2021
Research article |  | 18 Jun 2021

The retrieval of snow properties from SLSTR Sentinel-3 – Part 1: Method description and sensitivity study

Linlu Mei, Vladimir Rozanov, Christine Pohl, Marco Vountas, and John P. Burrows

Viewed

Total article views: 2,848 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,020 755 73 2,848 79 126
  • HTML: 2,020
  • PDF: 755
  • XML: 73
  • Total: 2,848
  • BibTeX: 79
  • EndNote: 126
Views and downloads (calculated since 07 Oct 2020)
Cumulative views and downloads (calculated since 07 Oct 2020)

Viewed (geographical distribution)

Total article views: 2,848 (including HTML, PDF, and XML) Thereof 2,765 with geography defined and 83 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
Short summary
This paper presents a new snow property retrieval algorithm from satellite observations. This is Part 1 of two companion papers and shows the method description and sensitivity study. The paper investigates the major factors, including the assumptions of snow optical properties, snow particle distribution and atmospheric conditions (cloud and aerosol), impacting snow property retrievals from satellite observation.
Read more
Share