AIML based Nowcasting of thunderstorm and lightning using atmospheric observation including multiple radars, satellite, lightning and model data.
Severe thunderstorms, squalls, and cloud-to-ground lightning strikes kill over 2,500 rural farmers and laborers annually in India due to sudden onset and lack of localized nowcasting. Build an AI/ML-based nowcasting and early warning platform for IITM/IMD that ingests Lightning Location Network (LLN) pulses, Doppler radar reflectivity, and INSAT-3D cloud-top temperatures to forecast thunderstorm cell paths and lightning strike hazard zones 30-90 minutes in advance.
Smart India Hackathon 2026 Problem Statement PS-26072: "AIML based Nowcasting of thunderstorm and lightning using atmospheric observation including multiple radars, satellite, lightning and model data.", Ministry: Ministry of Earth Sciences (MoES). Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26072)
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