Shan Zhao

Learning Hierarchical Causal Representations of the Effects of Forcings on Temperature in Climate Models

A hierarchical causal representation learning framework applied to sea surface temperature fields from a state-of-the-art global climate model is developed that accurately predicts the long-term global mean and regional temperature evolution and shows physically realistic responses to perturbations in greenhouse gas an...