AI Outperforms Traditional Models in 2025 Hurricane Forecasting

Daily Technology

·

10/11/2025

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The 2025 hurricane season shows a clear change in how forecasts are made. Early review indicates that Google DeepMind's new AI-based system has far surpassed standard methods marking a new phase in weather science.

Brian McNoldy, a senior scientist at the University of Miami, reports that the Google AI system produced more precise predictions of both path and strength for the season's 13 named storms. America's primary model, the Global Forecast System (GFS), placed last. The GFS error for Hurricane Melissa reached more than 500 miles at the five day mark.

The gap arises from the underlying technologies. Models like the GFS, built in the 1980s, depend on physics equations executed on expensive supercomputers. Google's system is a neural network that trains on data - it issues forecasts faster plus updates its own rules when it detects a mistake.

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Because climate change adds strength and unpredictability to storms, speed and accuracy grow ever more critical. The strong first showing of Google's AI system points toward data driven tools as the next standard promising more dependable alerts but also greater protection for at risk areas.

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