Articles | Volume 18, issue 2
https://doi.org/10.5194/tc-18-933-2024
https://doi.org/10.5194/tc-18-933-2024
Research article
 | 
29 Feb 2024
Research article |  | 29 Feb 2024

Melt pond fractions on Arctic summer sea ice retrieved from Sentinel-3 satellite data with a constrained physical forward model

Hannah Niehaus, Larysa Istomina, Marcel Nicolaus, Ran Tao, Aleksey Malinka, Eleonora Zege, and Gunnar Spreen

Viewed

Total article views: 1,384 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,050 268 66 1,384 55 55
  • HTML: 1,050
  • PDF: 268
  • XML: 66
  • Total: 1,384
  • BibTeX: 55
  • EndNote: 55
Views and downloads (calculated since 05 Oct 2023)
Cumulative views and downloads (calculated since 05 Oct 2023)

Viewed (geographical distribution)

Total article views: 1,384 (including HTML, PDF, and XML) Thereof 1,332 with geography defined and 52 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Melt ponds are puddles of meltwater which form on Arctic sea ice in the summer period. They are darker than the ice cover and lead to increased absorption of solar energy. Global climate models need information about the Earth's energy budget. Thus satellite observations are used to monitor the surface fractions of melt ponds, ocean, and sea ice in the entire Arctic. We present a new physically based algorithm that can separate these three surface types with uncertainty below 10 %.