Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5219-2023
https://doi.org/10.5194/tc-17-5219-2023
Research article
 | 
08 Dec 2023
Research article |  | 08 Dec 2023

Multidecadal variability and predictability of Antarctic sea ice in the GFDL SPEAR_LO model

Yushi Morioka, Liping Zhang, Thomas L. Delworth, Xiaosong Yang, Fanrong Zeng, Masami Nonaka, and Swadhin K. Behera

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Cited articles

Akitomo, K., Awaji, T., and Imasato, N: Open-ocean deep convection in the Weddell Sea: Two-dimensional numerical experiments with a nonhydrostatic model, Deep-Sea Res. Pt. I, 42, 53–73, https://doi.org/10.1016/0967-0637(94)00035-Q, 1995. 
Blanchard-Wrigglesworth, E., Roach, L. A., Donohoe, A., and Ding, Q.: Impact of winds and Southern Ocean SSTs on Antarctic sea ice trends and variability, J. Climate, 34, 949–965, https://doi.org/10.1175/JCLI-D-20-0386.1, 2021. 
Bushuk, M., Msadek, R., Winton, M., Vecchi, G., Yang, X., Rosati, A., and Gudgel, R.: Regional Arctic sea–ice prediction: potential versus operational seasonal forecast skill, Clim. Dynam., 52, 2721–2743, https://doi.org/10.1007/s00382-018-4288-y, 2019. 
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Short summary
Antarctic sea ice extent shows multidecadal variations with its decrease in the 1980s and increase after the 2000s until 2015. Here we show that our climate model can predict the sea ice decrease by deep convection in the Southern Ocean and the sea ice increase by the surface wind variability. These results suggest that accurate simulation and prediction of subsurface ocean and atmosphere conditions are important for those of Antarctic sea ice variability on a multidecadal timescale.