| Description | Extreme storms are a major cause of many catastrophic disasters, such as flooding, landslides, debris flow, and can often lead to huge loss and human casualties. Until now, numerical weather prediction and image-based tracking (such as radars and satellites) are the main tools for predicting the movement and strength of extreme storms, and they are far from perfect. This project aims to investigate how AI (particularly generative AI) can work with traditional physical (e.g., weather models) and statistical models (e.g., optical model as the likes) to address and represent the process involved in extreme storms. |
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