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

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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.