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 recent Science publication, leverages machine learning trained on decades of historical weather data to predict hundreds of key atmospheric variables. In head-to-head comparisons with the European Centre for Medium-Range Weather Forecasts’ high-resolution system (HRES), GraphCast provided more accurate forecasts for over 90% of 1,380 test variables. The AI system excels at predicting severe weather events earlier, including tropical cyclones and extreme temperatures, while operating in under a minute on a single Google TPU. This represents a significant shift toward data-driven, AI-enhanced numerical weather prediction, though operational meteorologists emphasize it will complement rather than replace traditional models that incorporate complex physical laws. For the full details, read the complete article at https://sciencedaily.com/releases/2023/11/231114143522.htm.