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Abstract: Reconstructing Historical AMOC Variability with Machine Learning Framework Trained on a CMIP6 Earth System Model Ensemble. (AGU25)

Reconstructing Historical AMOC Variability with Machine Learning Framework Trained on a CMIP6 Earth System Model Ensemble.

Andrei Medvedev1, Huaiyu Wei2, Kaushik Srinivasan2, Kyle Armour1,3, Andrew Stewart2 and Georgy E Manucharyan1, (1)University of Washington, School of Oceanography, Seattle, United States, (2)University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States, (3)University of Washington, Department of Atmospheric and Climate Science, Seattle, United States
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