Predictability of the low-frequency modes of the Arctic Ocean heat content variability: a perfect model approach

• Published in: Russian Journal of Numerical Analysis and Mathematical Modelling
• Main Author: Gritsun, Andrey S.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Walter de Gruyter GmbH 2022
• Subjects: Modeling and Simulation; Numerical Analysis; Arctic; Arctic Ocean
• Online Access: http://dx.doi.org/10.1515/rnam-2022-0008; https://www.degruyter.com/document/doi/10.1515/rnam-2022-0008/xml; https://www.degruyter.com/document/doi/10.1515/rnam-2022-0008/pdf

Abstract The problem of potential predictability of the temperature of the upper layer of the Arctic Ocean for the data of pre-industrial climate modelling run by the INM-CM5 Earth system model developed at the INM RAS is considered. The main attention is paid to the analysis of predictability of the phases of the dominant modes of low-frequency variability of the Arctic Ocean circulation. The initial estimate of its predictability is made by using the method of analogues and calculating the resonances of the invariant measure. Then this estimate is verified by direct ensemble calculations with the model. The results obtained indicate that the maximum predictability time interval reaches ten years for 15-year average values of heat content and corresponds to the states with maximum positive anomalies along the leading low-frequency variability modes.