Machine Learning Enhances Hurricane Modeling
This is a Hong Kong news story, published by ScienceDaily, that relates primarily to City University news.
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storm forecastingScienceDaily
•Improving hurricane modeling with physics-informed machine learning
81% Informative
Researchers from City University of Hong Kong employ machine learning to more accurately model the boundary layer wind field of tropical cyclones.
Algorithm reconstructs wind fields quickly, accurately, and with less observational data.
Being able to reconstruct a tropical cyclone's wind field provides valuable data that experts can use to determine how severe the storm will be.
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