Collaborative Research: CAIG: Understanding radiative feedbacks, ocean heat uptake, and energy conservation to improve ML-climate emulations

Models used to simulate weather and climate rely on sophisticated algorithms to represent the physics of the atmosphere, ocean, land surface, and cryosphere. These models have been quite successful but they have two important shortcomings: first, they are computationally intensive, typically running on world-class supercomputers and generating…