Google DeepMind’s AI forecasted Hurricane Isaias’s path 19 miles off
The European model’s AI prediction was 36 miles off, while the American GFS model missed by 119 miles. DeepMind’s accuracy puzzled meteorologists, who noted its strengths in storm tracking and timing but a weaker performance in predicting intensity near landfall.
Key points
- DeepMind correctly predicted storm track and timing but underestimated intensity near landfall, missing a sting jet effect that intensified winds
- Meteorologists credit AI for improving forecasts but warn human expertise and consensus models remain critical for accuracy
The National Hurricane Center began using AI models, including DeepMind’s, operationally in June 2025. Meteorologists like James Franklin, a former NHC specialist, praised its rapid improvement, though they caution AI remains imperfect. Brian McNoldy, a University of Miami researcher, called AI models a ‘black box,’ highlighting uncertainty about their decision-making. DeepMind’s success with Isaias—correctly predicting storm intensification in the Central Gulf—demonstrates its potential, though errors like underestimating wind strength before landfall remain unexplained.
Google AI crushed forecasts for Isaias but missed a crucial detail
yahoo.com · 14 October 2026
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This text was published by yahoo.com and written by Kimberly Miller, USA TODAY NETWORK - Florida. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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