Statistically Optimal Fingerprints for the Atlantic Meridional Overturning Circulation and the Sub-Polar Gyre

Overview

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This short 10-minute talk by Bahar Emirzade from the Technical University of Munich (TUM) explores statistically optimal fingerprinting techniques for analyzing the Atlantic Meridional Overturning Circulation (AMOC) and the Sub-Polar Gyre (SPG). Learn about advanced statistical methods used to identify and characterize these critical ocean circulation patterns that significantly influence global climate systems.

Syllabus

Statistically Optimal Fingerprints for the AMOC and the SPG

Taught by

Institut Henri Poincaré

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