Publications

The Intersection of AI and Climate Modeling: Emulators for Physical Parameterizations and Frameworks for Testing AI Weather Models

Published in University of Michigan, Ann Arbor, 2025

This dissertation examines ML integration across climate and weather modeling from emulating physical processes to evaluating AI-driven forecasting systems; identifying key barriers and paths toward more rigorous, physically interpretable approaches.

Recommended citation: Limon, G. C. (2025), The Intersection of AI and Climate Modeling: Emulators for Physical Parameterizations and Frameworks for Testing AI Weather Models, Ph.D. dissertation, Univ. of Michigan, Ann Arbor. hdl.handle.net/2027.42/201169 https://doi.org/10.7302/28253

Probing the Skill of Random Forests Emulators for Physical Parameterizations via a Hierarchy of Simple CAM6 Configurations

Published in Journal of Advances in Modeling Earth Systems, 2023

We show that random forest emulators perform well in simplified climate model configurations, but skill degrades systematically as model complexity increases.

Recommended citation: Limon, G. C. & Jablonowski, C., 2023, "Probing the Skill of Random Forests Emulators for Physical Parameterizations via a Hierarchy of Simple CAM6 Configurations." Journal of Advances in Modeling Earth Systems. 15. https://doi.org/10.1029/2022MS003395