DOE OSTI · 1769773
Rethink hydrologic modeling framework with AI integrating multi-processes across scales
Abstract
The proposed work is to develop a new hydrologic modeling framework that leverages vast amount earth and human system observational data, AI technologies, and data-driven information flows to improve predictability of hydrologic system that involves hydrologic, terrestrial, and biogeochemical processes and their interactions with the human and atmosphere systems.
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Yan, Eugene, Constantinescu, Emil, Kettimuthu, Rajkumar, Kemner, Kenneth, Wang, Cheng, Maulik, Romit, Park, Seongha, Kumar, Praveen, Chu, Maria. 2021-02-15. Rethink hydrologic modeling framework with AI integrating multi-processes across scales. https://doi.org/10.2172/1769773
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