Articles | Volume 15, issue 6
https://doi.org/10.5194/tc-15-2757-2021
https://doi.org/10.5194/tc-15-2757-2021
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: 2,575 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,802 703 70 2,575 70 97
  • HTML: 1,802
  • PDF: 703
  • XML: 70
  • Total: 2,575
  • BibTeX: 70
  • EndNote: 97
Views and downloads (calculated since 07 Oct 2020)
Cumulative views and downloads (calculated since 07 Oct 2020)

Viewed (geographical distribution)

Total article views: 2,575 (including HTML, PDF, and XML) Thereof 2,503 with geography defined and 72 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Aug 2025
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.
Share