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 Science journal paper, uses machine learning to analyze decades of historical weather data, enabling it to generate 10-day forecasts in under one minute on a single machine. 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 conditions. The AI system excels at predicting severe weather events, showing particular strength in forecasting tropical cyclone tracks and atmospheric river events days in advance. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional numerical weather prediction systems, as each approach has distinct strengths. The model has been made publicly available to support further research and development in meteorological science. Read the full article: https://sciencedaily.com/releases/2023/11/231114155020.htm