DOE OSTI · 1769675
An AI-Enabled MODEX Framework for Improving Predictability of Subsurface Water Storage across Local and Continental Scales
Abstract
Focal Area: (2) Predictive modeling through the use of AI techniques and AI-derived model components. (3) Insight gleaned from complex data using AI, big data analytics, and other advanced methods. We propose an AI-enabled model-experiment (MODEX) framework to improve the predictability of subsurface water storage (SWS) from local to conus scales in a changing environment by taking advantage of DOE’s observation and simulation capabilities, as well as to inform the model and the observation development.
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Lu, Dan, Pierce, Eric, Kao, Shih-Chieh, Zhang, Guannan, Restrepo, Juan, Womble, David, Li, Li, Rempe, Daniella. 2021-04-15. An AI-Enabled MODEX Framework for Improving Predictability of Subsurface Water Storage across Local and Continental Scales. https://doi.org/10.2172/1769675
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