A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior performance 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 forecasts up to 10 days in advance. 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 measurements like atmospheric pressure, temperature, and wind speed. The AI system can generate a 10-day forecast in under a minute on a single Google TPU v4 machine, a task that takes conventional supercomputers hours to complete. Researchers emphasize that AI models like GraphCast are designed to complement rather than replace traditional forecasting methods, offering a powerful new tool for meteorologists. The findings were published in the peer-reviewed journal Science. Read the full article at https://sciencedaily.com.