Articles | Volume 11, issue 5
The Cryosphere, 11, 2265–2281, 2017
https://doi.org/10.5194/tc-11-2265-2017
The Cryosphere, 11, 2265–2281, 2017
https://doi.org/10.5194/tc-11-2265-2017

Research article 29 Sep 2017

Research article | 29 Sep 2017

Sea ice assimilation into a coupled ocean–sea ice model using its adjoint

Nikolay V. Koldunov et al.

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Cited articles

AVISO: https://www.aviso.altimetry.fr/en/my-aviso.html, last access: September 2014.
Cheng, Y., Andersen, O., and Knudsen, P.: An Improved 20-Year Arctic Ocean Altimetric Sea Level Data Record, Mar. Geod., 38, 146–162, https://doi.org/10.1080/01490419.2014.954087, 2014.
Comiso, J. C., Parkinson, C. L., Gersten, R., and Stock, L.: Accelerated decline in the Arctic sea ice cover, Geophys. Res. Lett., 35, L01703, https://doi.org/10.1029/2007GL031972, 2008.
Dukhovskoy, D. S., Ubnoske, J., Blanchard-Wrigglesworth, E., Hiester, H. R., and Proshutinsky, A.: Skill metrics for evaluation and comparison of sea ice models, J. Geophys. Res.-Oceans, 120, 5910–5931, https://doi.org/10.1002/2015JC010989, 2015.
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Short summary
The paper describes one of the first attempts to use the so-called adjoint data assimilation method to bring Arctic Ocean model simulations closer to observation, especially in terms of the sea ice. It is shown that after assimilation the model bias in simulating the Arctic sea ice is considerably reduced. There is also additional improvement in the sea ice thickens representation that is not assimilated directly.