Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Oceanography
Link
https://link.springer.com/content/pdf/10.1007/s00343-022-1241-z.pdf
Reference66 articles.
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2. Bouillon S, Fichefet T, Legat V et al. 2013. The elasticviscous-plastic method revisited. Ocean Modelling, 71: 2–12, https://doi.org/10.1016/j.ocemod.2013.05.013.
3. Cavalieri D J, Gloersen P, Campbell W J. 1984. Determination of sea ice parameters with the NIMBUS 7 SMMR. Journal of Geophysical Research: Atmospheres, 89 (D4): 5355–5369, https://doi.org/10.1029/JD089iD04p05355.
4. Cavalieri D J, Parkinson C L. 2012. Arctic sea ice variability and trends, 1979–2010. The Cryosphere, 6 (4): 881–889, https://doi.org/10.5194/tc-6-881-2012.
5. Chevallier M, Salas-Mélia D. 2012. The role of sea ice thickness distribution in the Arctic sea ice potential predictability: a diagnostic approach with a coupled GCM. Journal of Climate, 25 (8): 3025–3038, https://doi.org/10.1175/JCLI-D-11-00209.1.
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