A team of scientists in Hong Kong has developed an artificial intelligence–based weather forecasting system capable of predicting thunderstorms and heavy rainfall up to four hours in advance, significantly extending current short-term warning times.
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The system, called the Deep Satellite Data Propagation Model, uses real-time satellite data to improve forecasts of severe weather events, researchers said.
At present, short-term weather alerts typically provide lead times ranging from 20 minutes to two hours. The new AI model represents a major breakthrough in extending advance warnings for extreme conditions.
Su Hui, a professor in the Department of Civil and Environmental Engineering at the university involved in the research, said the technology marks a significant step forward in atmospheric monitoring and early-warning capabilities.
Researchers added that the system could play a crucial role in strengthening disaster preparedness and emergency response by delivering earlier and more reliable forecasts. They noted that the technology has the potential to reduce risks linked to severe weather and better protect vulnerable communities.
