Articles | Volume 14, issue 8
https://doi.org/10.5194/tc-14-2567-2020
https://doi.org/10.5194/tc-14-2567-2020
Research article
 | 
12 Aug 2020
Research article |  | 12 Aug 2020

A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data

Marcel König and Natascha Oppelt

Viewed

Total article views: 2,985 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,795 1,098 92 2,985 93 96
  • HTML: 1,795
  • PDF: 1,098
  • XML: 92
  • Total: 2,985
  • BibTeX: 93
  • EndNote: 96
Views and downloads (calculated since 09 Dec 2019)
Cumulative views and downloads (calculated since 09 Dec 2019)

Viewed (geographical distribution)

Total article views: 2,985 (including HTML, PDF, and XML) Thereof 2,689 with geography defined and 296 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Nov 2024
Download
Short summary
We used data that we collected on RV Polarstern cruise PS106 in summer 2017 to develop a model for the derivation of melt pond depth on Arctic sea ice from reflectance measurements. We simulated reflectances of melt ponds of varying color and water depth and used the sun zenith angle and the slope of the log-scaled reflectance at 710 nm to derive pond depth. We validated the model on the in situ melt pond data and found it to derive pond depth very accurately.