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Ortega, Pablo;

This webinar focuses on the APPLICATE project, presenting its main objectives and the multi-model experimental framework in which it relies to assess and improve the predictive capacity of the Arctic and beyond. Dr. Ortega presents a few examples of the project's seasonal prediction activities, including a multi-model comparison of the predictive skill in Arctic sea ice for all the seasonal forecast systems participating to the project, a first exploration of a suite of experiments assessing the added-value of increasing both the atmospheric and oceanic resolution on seasonal prediction skill, results from empirical statistical models evaluating the optimal number of locations needed to estimate robustly the evolution of Pan-Arctic Sea Ice Volume, and an analysis of how the different forecast errors in Arctic sea ice develop in the EC-Earth and CNRM systems

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