The Cryosphere
The Cryosphere
TC
Articles | Volume 16, issue 4
Articles | Volume 16, issue 4
The Cryosphere, 16, 1197–1220, 2022
https://doi.org/10.5194/tc-16-1197-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 16, 1197–1220, 2022
https://doi.org/10.5194/tc-16-1197-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 4
Research article
07 Apr 2022
Research article | 07 Apr 2022

SNICAR-ADv4: a physically based radiative transfer model to represent the spectral albedo of glacier ice

Chloe A. Whicker et al.

Data sets

jmcook1186/Data_Archive_TC2019: post-peer-review (v1.1) Joseph Cook https://doi.org/10.5281/zenodo.3564501

Effects of bubbles, cracks, and volcanic tephra on the spectral albedo of bare ice near the Transantarctic Mountains: Implications for sea glaciers on Snowball Earth R. Dadic, P. C. Mullen, M. Schneebeli, R. E. Brandt, and S. G. Warren https://digital.lib.washington.edu/researchworks/handle/1773/37324

Model code and software

chloewhicker/SNICAR-ADv4: SNICAR-ADv4: A physically based radiative transfer model to represent the spectral albedo of glacier ice (v1.0) Chloe Whicker https://doi.org/10.5281/zenodo.5270383

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Short summary
Snow and ice surfaces are important to the global climate. Current climate models use measurements to determine the reflectivity of ice. This model uses physical properties to determine the reflectivity of snow, ice, and darkly pigmented impurities that reside within the snow and ice. Therefore, the modeled reflectivity is more accurate for snow/ice columns under varying climate conditions. This model paves the way for improvements in the portrayal of snow and ice within global climate models.
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