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 current atmospheric conditions to generate accurate 10-day forecasts in under one minute. In head-to-head comparisons with the European Centre for Medium-Range Weather Forecasts’ high-resolution forecasting system (HRES), GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including temperature, pressure, wind speed, and humidity. The AI system particularly excelled at predicting extreme weather events, offering earlier warnings for tropical cyclones and atmospheric rivers. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional methods, as they lack the physical understanding of atmospheric processes that conventional models provide. The technology represents a significant advancement in computational efficiency and could improve disaster preparedness worldwide. Read the full article at: https://technologyreview.com/2023/11/14/1084079/ai-weather-forecasting-graphcast-outperforms-traditional-models/