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 GraphCast model, detailed in a Science journal study, uses machine learning to analyze decades of historical weather data, enabling it to generate 10-day forecasts in under a minute on a single computer. In head-to-head comparisons with the European Centre for Medium-Range Weather Forecasts’ high-resolution system (HRES), GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including critical atmospheric measurements. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional methods, as they lack the ability to explain their reasoning or directly incorporate real-time observational data. The technology represents a significant shift toward data-driven weather prediction that could improve early warnings for extreme weather events. Read the full article at: https://sciencedaily.com/releases/2023/11/231114143522.htm