A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior accuracy compared to conventional physics-based systems in global medium-range weather predictions. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and identify complex atmospheric patterns. In head-to-head tests against the European Centre for Medium-Range Weather Forecasts’ high-resolution forecast system—considered the global gold standard—GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including critical measurements like temperature, pressure, wind speed, and humidity at multiple atmospheric levels. The AI system can generate a 10-day forecast in under a minute on a single Google TPU v4 machine, a task that takes traditional supercomputers hours to complete. Researchers emphasize that AI models like GraphCast are not replacements for established systems but powerful complementary tools that could enhance prediction speed and detail, particularly for severe weather events. Read the full article at https://technologyreview.com/2024/11/05/ai-weather-model-outperforms-traditional-systems/.