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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
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Research & Projects
Research & Projects
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
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publications
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
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
talks
Development and Implementation of Multi-Grid Solver into 3D-RISM
Published:
G. C. Limon and T. Luchko. First Place, Outstanding Oral Presenter. Presented as part of M.S. research in computational physics.
An Assessment of Machine Learning Techniques for Replicating Physical Forcing Mechanisms in Climate Models
Published:
G. C. Limon and C. Jablonowski. doi: 10.1002/essoar.10501799.1
Assessing Machine Learning Approaches for Physical Parameterizations in Atmospheric General Circulation Models
Published:
C. Jablonowski and G. C. Limon. Presented by C. Jablonowski as an invited speaker.
A First Look at Coupling Machine Learning Emulators for Simple Physics Parameterizations in the Community Atmosphere Model
Published:
G. C. Limon and C. Jablonowski.
Practical Limitations of Machine Learning Approaches for Online Emulation of Simplified Physical Processes in CAM6
Published:
G. C. Limon and C. Jablonowski.
Assessing the Offline and Online Performance of Physical Parameterization Emulators via Simplified Climate Model Configurations
Published:
G. C. Limon and C. Jablonowski.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.