Tag: AI Weather Models

Neural networks excel at day-to-day forecasting—but falter when facing rare, extreme weather As the world increasingly relies on artificial intelligence for weather prediction, a new study led by the University of Chicago has uncovered a critical limitation: neural networks fail to anticipate so-called “gray swan” weather events rare but devastating occurrences that may not appear in the historical data used to train these AI systems. Published in the Proceedings of the National Academy of Sciences on May 21, the study reveals that although AI models offer fast and energy efficient forecasts, they struggle to predict unprecedented weather phenomena such as 200-year floods, record-breaking heat waves, or catastrophic hurricanes. What Are Gray Swan Events? Unlike typical day-to-d...