AI tool generates realistic extreme weather scenarios for risk assessment
MIT engineers have developed a machine-learning algorithm that can produce plausible extreme weather events, such as intense rainstorms, without relying on historical records. The tool learns from regional weather data to exclude implausible scenarios and projects the size, intensity, and duration of rare events. This could help communities prepare for worst-case climate impacts.
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This summary is AI-generated and original to Mobble; the linked article is the authoritative source.
Original headline: “Could 12 inches of rain hit New York City? AI maps plausible rare storms.” Browse more stories.