A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior performance compared to traditional physics-based systems in global medium-range weather predictions. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and can generate accurate 10-day forecasts in under a minute on a single desktop computer. In a comprehensive evaluation against the European Centre for Medium-Range Weather Forecasts’ high-resolution forecast system, GraphCast outperformed the conventional model on over 90% of 1,380 test variables, including critical metrics like temperature, pressure, wind speed, and humidity at multiple atmospheric levels. The AI system showed particular strength in predicting extreme weather events, such as tropical cyclones and atmospheric rivers, with greater accuracy and earlier detection than current operational methods. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional forecasting systems, offering a faster, more computationally efficient alternative for certain applications. Read the full article: https://technologyreview.com/2024/06/15/ai-weather-model-outperforms-traditional-forecasts