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 trained on decades of historical weather data to predict hundreds of weather variables up to 10 days in advance. In head-to-head comparisons with the European Centre for Medium-Range Weather Forecasts’ high-resolution forecast (HRES), GraphCast provided more accurate predictions for over 90% of 1,380 test variables. The AI system significantly outperformed HRES in predicting extreme weather events, including tropical cyclones and atmospheric rivers, while running forecasts in under a minute on a single Google TPU v4 machine. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional forecasting methods, offering a powerful new tool for meteorologists. Read the full article at: https://sciencedaily.com/releases/2023/11/231114155020.htm