A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior accuracy and speed compared to current state-of-the-art systems in a comprehensive global evaluation. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and current atmospheric conditions to generate 10-day forecasts in under a minute on a single computer. Traditional numerical weather prediction models, which rely on complex physics equations running on supercomputers, typically take hours to produce similar forecasts. The study found GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including critical metrics like tropical cyclone tracking and extreme temperature forecasts. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional systems, offering rapid scenario analysis and potentially improving early warning systems for severe weather events. Read the full article at https://technologyreview.com/2023/11/14/1083601/ai-weather-forecasting-graphcast-outperforms-traditional-models/