AI's Potential to Transform Climate Modeling and Prediction

While climate change is certain, precisely how climate will change is less clear, necessitating transformative advances in climate modeling and prediction. This talk will explore how AI can be leveraged to integrate diverse data sources into climate models, including high-resolution simulations, laboratory measurements, and statistics of weather data. I will address both the limitations of learning holistically from weather data and the opportunities to learn process-level information from diverse data. By combining AI with physical process knowledge, we can achieve substantial improvements in the accuracy of simulations of critical yet uncertain processes, such as those governing cloud formation and behavior. This synergistic approach, uniting AI tools with domain expertise, promises transformative breakthroughs in climate modeling and prediction, empowering us to make more informed decisions in the face of climate change.