Articles | Volume 18, issue 7
https://doi.org/10.5194/tc-18-3033-2024
https://doi.org/10.5194/tc-18-3033-2024
Research article
 | 
03 Jul 2024
Research article |  | 03 Jul 2024

Suitability of the CICE sea ice model for seasonal prediction and positive impact of CryoSat-2 ice thickness initialization

Shan Sun and Amy Solomon

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Latest update: 18 Nov 2024
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Short summary
The study brings to light the suitability of CICE for seasonal prediction being contingent on several factors, such as initial conditions like sea ice coverage and thickness, as well as atmospheric and oceanic conditions including oceanic currents and sea surface temperature. We show there is potential to improve seasonal forecasting by using a more reliable sea ice thickness initialization. Thus, data assimilation of sea ice thickness is highly relevant for advancing seasonal prediction skills.