Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations
Mike focuses on the interface between next generation climate simulation and machine learning, particularly accelerating cloud-resolving climate simulations using physics-informed ML approaches.