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Journal Article

Light absorption and albedo reduction by pigmented microalgae on snow and ice

Authors

Chevrollier,  Lou-Anne
External Organizations;

Cook,  Joseph M.
External Organizations;

Halbach,  Laura
External Organizations;

Jakobsen,  Hans
External Organizations;

/persons/resource/benning

Benning,  Liane G.
3.5 Interface Geochemistry, 3.0 Geochemistry, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Anesio,  Alexandre M.
External Organizations;

Tranter,  Martyn
External Organizations;

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Fulltext (public)

5013089.pdf
(Publisher version), 3MB

Supplementary Material (public)
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Citation

Chevrollier, L.-A., Cook, J. M., Halbach, L., Jakobsen, H., Benning, L. G., Anesio, A. M., Tranter, M. (2023): Light absorption and albedo reduction by pigmented microalgae on snow and ice. - Journal of Glaciology, 69, 274, 333-341.
https://doi.org/10.1017/jog.2022.64


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013089
Abstract
Pigmented microalgae inhabiting snow and ice environments lower the albedo of glacier and ice-sheet surfaces, significantly enhancing surface melt. Our ability to accurately predict their role in glacier and ice-sheet surface mass balance is limited by the current lack of empirical data to constrain their representation in predictive models. Here we present new empirical optical properties for snow and ice algae and incorporate them in a radiative transfer model to investigate their impact on snow and ice surface albedo. We found ice algal cells to be more efficient absorbers than snow algal cells, but their blooms had comparable impact on surface albedo due to the different photic conditions of their habitats. We then used the model to reconstruct the effect of ice algae on bare ice albedo spectra collected at our field site in southern Greenland, where blooms dropped the albedo locally by between 3 and 43%, equivalent to 1–10 L m d of melted ice. Using the newly parametrized model, future studies could investigate biological albedo reduction and algal quantification from remote hyperspectral and multispectral imagery.