A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior performance compared to traditional numerical weather prediction systems in global medium-range forecasts. The GraphCast model, detailed in a Science journal paper, uses machine learning to analyze decades of historical weather data and make predictions up to 10 days ahead. In head-to-head comparisons with the European Centre for Medium-Range Weather Forecasts’ high-resolution system (considered the gold standard), GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including temperature, pressure, wind speed, and humidity at multiple atmospheric levels. The AI system can generate a 10-day forecast in under one minute on a single Google TPU v4 machine, significantly faster than conventional methods that require hours on supercomputers. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional physics-based systems, offering a powerful new tool for meteorologists. The model has been made publicly available to support further research and development in weather prediction. Read the full article at: https://sciencedaily.com/releases/2023/11/231114155020.htm