A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior accuracy to current state-of-the-art systems in global medium-range weather predictions. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and can generate a 10-day forecast in under a minute on a single desktop computer. In a head-to-head comparison with the European Centre for Medium-Range Weather Forecasts’ high-resolution forecast (HRES), GraphCast was more accurate in over 90% of over 1,300 test variables, including critical predictions for extreme weather events like tropical cyclones and atmospheric rivers. Researchers emphasize that AI models like GraphCast are not intended to replace traditional physics-based systems but to complement them, potentially leading to more timely and accurate warnings for severe weather. The model’s code has been made open-source to encourage further development and integration by meteorological agencies worldwide. Read the full article at https://technologyreview.com/2024/02/14/ai-weather-model-graphcast-outperforms-traditional-systems.