Articles | Volume 16, issue 5
The Cryosphere, 16, 1873–1887, 2022
https://doi.org/10.5194/tc-16-1873-2022
The Cryosphere, 16, 1873–1887, 2022
https://doi.org/10.5194/tc-16-1873-2022
Research article
17 May 2022
Research article | 17 May 2022

The sensitivity of landfast sea ice to atmospheric forcing in single-column model simulations: a case study at Zhongshan Station, Antarctica

Fengguan Gu et al.

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Cited articles

Barthélemy, A., Goosse, H., Fichefet, T., and Lecomte, O.: On the sensitivity of Antarctic sea ice model biases to atmospheric forcing uncertainties, Clim. Dynam., 51, 1585–1603, https://doi.org/10.1007/s00382-017-3972-7, 2018. 
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Bracegirdle, T. J. and Marshall, G. J.: The reliability of Antarctic tropospheric pressure and temperature in the latest global reanalyses, J. Climate, 25, 7138–7146, https://doi.org/10.1175/JCLI-D-11-00685.1, 2012. 
Briegleb, B. P. and Light, B.: A Delta-Eddington multiple scattering parameterization for solar radiation in the sea ice component of the Community Climate System Model, NCAR Tech. Note NCAR/TN-472+ STR, 1-108, https://github.com/CICE-Consortium/CICE/blob/master/doc/PDF/BL_NCAR2007.pdf (last access: 14 May 2022), 2007. 
Bromwich, D. H., Fogt, R. L., Hodges, K. I., and Walsh, J. E.: A tropospheric assessment of the ERA-40, NCEP, and JRA-25 global reanalyses in the polar regions, J. Geophys. Res.-Atmos., 112, D10111, https://doi.org/10.1029/2006JD007859, 2007. 
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Short summary
The sea ice thickness was simulated by a single-column model and compared with in situ observations obtained off Zhongshan Station in the Antarctic. It is shown that the unrealistic precipitation in the atmospheric forcing data leads to the largest bias in sea ice thickness and snow depth modeling. In addition, the increasing snow depth gradually inhibits the growth of sea ice associated with thermal blanketing by the snow.