Articles | Volume 20, issue 10
https://doi.org/10.5194/tc-20-5867-2026
https://doi.org/10.5194/tc-20-5867-2026
Research article
 | 
13 Oct 2026
Research article |  | 13 Oct 2026

Subseasonal forecast improvements from sea ice concentration data assimilation in the Antarctic

Yong-Fei Zhang, Mitchell Bushuk, Michael Winton, William Gregory, Bill Hurlin, Liwei Jia, and Feiyu Lu

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Cited articles

Anderson, J., Hoar, T., Raeder, K., Liu, H., Collins, N., Torn, R., and Avellano, A.: The data assimilation research testbed: A community facility, B. Am. Meteorol. Soc., 90, 1283–1296, 2009. a
Anderson, J. L.: An ensemble adjustment Kalman filter for data assimilation, Mon. Weather Rev., 129, 2884–2903, 2001. a
Blanchard-Wrigglesworth, E., Armour, K. C., Bitz, C. M., and DeWeaver, E.: Persistence and inherent predictability of Arctic sea ice in a GCM ensemble and observations, J. Climate, 24, 231–250, 2011. a
Bushuk, M., Winton, M., Haumann, F. A., Delworth, T., Lu, F., Zhang, Y., Jia, L., Zhang, L., Cooke, W., Harrison, M., Hurlin, B., Johnson, N. C., Kapnick, S. B., McHugh, C., Murakami, H., Rosati, A., Tseng, K.-C., Wittenberg, A., Yang, X., and Zeng, F.: Seasonal prediction and predictability of regional Antarctic sea ice, J. Climate, 34, 6207–6233, 2021. a, b, c, d, e, f
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Short summary
Antarctic sea ice has shifted from its overall increasing trend in the past decades to the recent decline, which attracted attention from the research community. Providing more accurate subseasonal predictions of Antarctic sea ice is critical to managing the accelerating human activities. We demonstrate that by incorporating satellite observations of sea ice concentration with modeling, the subseasonal predictions of Antarctic sea ice can be improved significantly.
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