Machine Learning for Actionable Climate Science 2025

Description

Highlights

Premier international conference focused on cutting-edge and unpublished research in machine learning for climate science. Features a diverse range of speakers and discussion leaders from institutions worldwide. Includes poster sessions for individuals at all career stages. Provides opportunities for informal networking through communal meals and free time. Explores development of hybrid (physics+ML) Earth system models with greater fidelity. Discusses capabilities for climate extremes through large ensembles with emulators. Advances climate model analysis and benchmarking. Addresses key ML challenges such as generalization, uncertainty quantification, explainable AI, and causality. Brings together ML and climate scientists, as well as the private sector, to accelerate progress towards actionable climate science. Held in a remote location to foster camaraderie and create lasting scientific communities.