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Journal Article

In-ice light measurements during the MOSAiC expedition

Authors

Fuchs,  Niels
External Organizations;

Anhaus,  Philipp
External Organizations;

Hoppmann,  Mario
External Organizations;

Kagel,  Torbjoern
External Organizations;

Katlein,  Christian
External Organizations;

/persons/resource/Ronja.Reese

Reese,  Ronja
Potsdam Institute for Climate Impact Research;

Riemenschneider,  Leif
External Organizations;

Tao,  Ran
External Organizations;

/persons/resource/Ricarda.Winkelmann

Winkelmann,  Ricarda
Potsdam Institute for Climate Impact Research;

Notz,  Dirk
External Organizations;

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Fulltext (public)

30306oa.pdf
(Publisher version), 3MB

Supplementary Material (public)
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Citation

Fuchs, N., Anhaus, P., Hoppmann, M., Kagel, T., Katlein, C., Reese, R., Riemenschneider, L., Tao, R., Winkelmann, R., Notz, D. (2024): In-ice light measurements during the MOSAiC expedition. - Scientific Data, 11, 702.
https://doi.org/10.1038/s41597-024-03472-0


Cite as: https://publications.pik-potsdam.de/pubman/item/item_30306
Abstract
We present light measurements in Arctic sea ice obtained during the year-long MOSAiC drift through the central Arctic Ocean in 2019–2020. Such measurements are important as sea ice plays a fundamental role in the Arctic climate and ecosystem. The partitioning of solar irradiance determines the availability of radiation energy for thermodynamic processes and primary productivity. However, observations of light partitioning along the vertical path through the ice are rare. The data we present were collected by two measurement systems, the lightharp and the lightchain, both measuring autonomously multi-spectral light intensity in different depths within the ice. We present the dataset, retrieval methods for derived optical properties, and the conversion into the final, freely available data product, following standardized conventions. We particularly focus on the specifications of the newly developed lightharp system. Combined with the interdisciplinary and multi-instrument setup of MOSAiC, we expect great potential of the dataset to foster our understanding of light transmission and reflection in the sea-ice cover and interactions with physical sea-ice properties and the polar ecosystem.