Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 16
Articles | Volume 16, issue 16
https://doi.org/10.5194/amt-16-3915-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-3915-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 16
Research article
 | 
24 Aug 2023
Research article |  | 24 Aug 2023

Retrieval of snow layer and melt pond properties on Arctic sea ice from airborne imaging spectrometer observations

Sophie Rosenburg, Charlotte Lange, Evelyn Jäkel, Michael Schäfer, André Ehrlich, and Manfred Wendisch

Data sets

Spectral solar cloud top radiance measured by airborne spectral imaging during the ACLOUD campaign in 2017 Elena Ruiz-Donoso, André Ehrlich, Michael Schäfer, Evelyn Jäkel, and Manfred Wendisch https://doi.org/10.1594/PANGAEA.902150

Aircraft measurements of spectral solar up- and downward irradiances in the Arctic during the ACLOUD campaign 2017 Evelyn Jäkel, André Ehrlich, Michael Schäfer, and Manfred Wendisch https://doi.org/10.1594/PANGAEA.899177

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Short summary
Snow layer melting and melt pond formation on Arctic sea ice are important seasonal processes affecting the surface reflection and energy budget. Sea ice reflectivity was surveyed by airborne imaging spectrometers in May–June 2017. Adapted retrieval approaches were applied to find snow layer liquid water fraction, snow grain effective radius, and melt pond depth. The retrievals show the potential and limitations of spectral airborne imaging to map melting snow layer and melt pond properties.
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