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Session description: Reducing sea ice projection uncertainty through increased process-understanding.

Sea ice projections from global climate models for both polar regions show a large inter-model spread, as a result of model and internal variability uncertainty. In this session, we solicit contributions that aim to reduce the sea ice projection uncertainty through in-depth analysis of Arctic and/or Antarctic sea ice simulations from global climate models. Contributions that make use of new sea ice model output from CMIP6 and/or are the result of SIMIP are particularly encouraged. Topics of interest include new process-based metrics or emergent constraints to assess, and potentially weight, sea ice simulations, new sea ice model developments that show an impact on sea ice projections on climate timescales, and quantification of the contribution of internal variability to the projection spread.

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