A new artificial intelligence weather forecasting model developed by researchers at Google DeepMind has demonstrated superior accuracy compared to conventional physics-based systems in global medium-range weather prediction. The model, named GraphCast, utilizes machine learning trained on decades of historical weather data to predict atmospheric conditions up to 10 days in advance. In head-to-head tests against 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 metrics like temperature, pressure, and wind speed. The AI system can generate a 10-day forecast in under one minute on a single Google TPU, a significant reduction from the hours of computation required by traditional methods. Researchers emphasize that AI models like GraphCast are designed to complement, not replace, established numerical weather prediction systems, offering a new tool for meteorologists. The findings were published in the peer-reviewed journal Science. Read the full article at https://sciencedaily.com/releases/2023/11/231114143522.htm