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 can generate accurate 10-day forecasts in under one minute on a single machine. In a comprehensive evaluation against the European Centre for Medium-Range Weather Forecasts’ high-resolution system, GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including critical atmospheric conditions. Researchers note that while AI models like GraphCast show remarkable speed and accuracy, they are likely to complement rather than replace traditional methods, which offer deeper physical insights and remain crucial for long-term climate projections. The development represents a significant shift toward data-driven approaches in meteorology. Read the full article at: https://technologyreview.com/2023/11/14/1084079/ai-weather-forecasting-model-outperforms-traditional-systems/