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 paper, 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 forecasting system (HRES), GraphCast provided more accurate predictions for over 90% of 1,380 test variables. The AI system particularly excelled at predicting severe weather events, including tropical cyclones and atmospheric rivers, while operating much faster than traditional methods—generating a 10-day forecast in under a minute on a single Google TPU. Researchers emphasize that AI models like GraphCast should complement rather than replace existing systems, offering a powerful new tool for meteorologists. Read the full article at: https://technologyreview.com/2023/11/14/1083761/ai-weather-forecasting-model-graphcast-outperforms-traditional-systems/