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 study published in Science, uses machine learning to analyze decades of historical weather data and generate accurate 10-day forecasts in under one minute on a single desktop computer. 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 atmospheric measurements like geopotential, temperature, and humidity. The AI system particularly excelled in predicting extreme weather events, including tropical cyclones and atmospheric rivers, while operating with significantly lower computational costs than conventional physics-based models. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional systems, offering a powerful new tool for meteorologists. For the full details, read the complete article at: https://sciencedaily.com/releases/2023/11/231114143522.htm