Turning chaotic sensitivity from a bug into a feature: Using physical modeling and deep learning to alter the paths of storms and mitigate extreme weather events
Statistical Modeling, Causal Inference, and Social Science 2026-07-06
Summary:
Qin Huang, Moyan Liu, and Upmanu Lall write: Extreme weather events, e.g., droughts, floods, heatwaves, and freezes, are increasing in frequency and intensity, posing severe socio-economic impacts as growing populations heighten exposure to risks that conventional infrastructure cannot fully address. … Continue reading →