A Decentralized IoT and Machine Learning Framework for Hyperlocal Cloudburst Prediction
Publication Date : 02-04-2026
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Abstract :
Cloudbursts are sudden and highly localized extreme rainfall events that occur within a short duration and often lead to flash floods, landslides, and severe infrastructure damage. These events are particularly dangerous in mountainous and high-risk regions where warning time is limited. Existing cloudburst prediction systems mainly rely on satellite imagery, weather radars, and large-scale meteorological models. Although these approaches provide regional forecasts, they often fail to deliver accurate hyperlocal predictions due to the lack of real-time ground-level environmental data. This limitation results in delayed warnings and reduces the effectiveness of disaster preparedness.
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