DOE OSTI · 1769682
Bridging Multiscale Processes in Earth System Models with Physics-Guided Hierarchical Machine Learning
Abstract
Focal Area(s): The focal area of this whitepaper is, “Predictive modeling through the use of AI techniques and AI-derived model components; the use of AI and other tools to design a prediction system comprising of a hierarchy of models (e.g., AI driven model/component/parameterization selection).” The ideas and frameworks described herein are deemed site agnostic. As a use case, this group will initially focus on the coupling between land processes, surface/subsurface hydrological processes, coastal processes, and human activities in the U.S. Gulf states.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Sun, Alexander Y., Scanlon, Bridget R., Dawson, Clint, Passalacqua, Paola, Niyogi, Dev, Yang, Zong-Liang, Pierce, Susanne. 2021-04-15. Bridging Multiscale Processes in Earth System Models with Physics-Guided Hierarchical Machine Learning. https://doi.org/10.2172/1769682
Cite the original work for its findings. Save a collection to share your selection of sources.