Articles | Volume 13, issue 1
https://doi.org/10.5194/gmd-13-99-2020
https://doi.org/10.5194/gmd-13-99-2020
Model description paper
 | 
10 Jan 2020
Model description paper |  | 10 Jan 2020

Version 1 of a sea ice module for the physics-based, detailed, multi-layer SNOWPACK model

Nander Wever, Leonard Rossmann, Nina Maaß, Katherine C. Leonard, Lars Kaleschke, Marcel Nicolaus, and Michael Lehning

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Cited articles

Ackley, S. F., Xie, H., and Tichenor, E. A.: Ocean heat flux under Antarctic sea ice in the Bellingshausen and Amundsen Seas: two case studies, Ann. Glaciol., 56, 200–210, https://doi.org/10.3189/2015AoG69A890, 2015. a
Allison, I., Brandt, R. E., and Warren, S. G.: East Antarctic sea ice: Albedo, thickness distribution, and snow cover, J. Geophys. Res., 98, 12417–12429, https://doi.org/10.1029/93JC00648, 1993. a
Anderson, E., Bai, Z., Bischof, C., Blackford, S., Demmel, J., Dongarra, J., Du Croz, J., Greenbaum, A., Hammarling, S., McKenney, A., and Sorensen, D.: LAPACK Users' Guide, Society for Industrial and Applied Mathematics, Philadelphia, PA, 3rd edn., 1999. a
Andreas, E. L.: Parameterizing Scalar Transfer over Snow and Ice: A Review, J. Hydrometeor., 3, 417–432, https://doi.org/10.1175/1525-7541(2002)003<0417:PSTOSA>2.0.CO;2, 2002. a
Arndt, S. and Paul, S.: Variability of Winter Snow Properties on Different Spatial Scales in the Weddell Sea, J. Geophys. Res., 123, 8862–8876, https://doi.org/10.1029/2018JC014447, 2018. a, b
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Short summary
Sea ice is an important component of the global climate system. The presence of a snow layer covering sea ice can impact ice mass and energy budgets. The detailed, physics-based, multi-layer snow model SNOWPACK was modified to simulate the snow–sea-ice system, providing simulations of the snow microstructure, water percolation and flooding, and superimposed ice formation. The model is applied to in situ measurements from snow and ice mass-balance buoys installed in the Antarctic Weddell Sea.