DOE OSTI · 1769672
AI-enabled MODEX and edge-computing over 5G for improving the predictability of water cycle extremes
Abstract
Focal Area(s): The paper addresses focal area 1: data acquisition/assimilation enabled by AI and advanced methods including model-driven experiments, 5G, and hardware-related efforts involving edge computing.
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Balaprakash, Prasanna, Collis, Scott, Kim, Yongho, Beckmann, Pete, Cadeddu, Maria, Gonzalez-Meler, Miquel, Sullivan, Ryan, Madireddy, Sandeep, Kotamarthi, Rao. 2021-04-15. AI-enabled MODEX and edge-computing over 5G for improving the predictability of water cycle extremes. https://doi.org/10.2172/1769672
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