AI4PEX: Understanding the Earth System Better with Artificial Intelligence
AI4PEX's main objective is to enhance our understanding of the Earth system by integrating Earth Observations (EO), artificial intelligence, and machine learning into Earth system modeling and analysis, creating a new level of climate projection reliability on both global and regional scales. The project focuses on improving the representation of key processes that contribute to the most uncertain feedbacks in the Earth system by leveraging AI to maximize the use of observational data in the development of physically-aware Earth system models. Additionally, AI4PEX aims to assess future risks of climate extremes by projecting changes and their associated impacts on land and coastal waters using the latest projections and machine learning techniques. To support resilience, the project also seeks to develop fast, adaptable, and transferable workflows that integrate EO and machine learning into Earth system science, while ensuring effective capacity building, knowledge dissemination, and public engagement.