A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior performance compared to traditional physics-based systems in global weather prediction. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and current atmospheric conditions to generate accurate 10-day forecasts in under one minute. In head-to-head comparisons with the European Centre for Medium-Range Weather Forecasts’ high-resolution forecasting system, GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including temperature, pressure, wind speed, and humidity. The AI system particularly excelled at predicting severe weather events, accurately forecasting the trajectory of Hurricane Lee nine days in advance, three days earlier than conventional methods. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional systems, offering faster, more efficient forecasts that could improve early warning systems for extreme weather. Read the full article at https://technologyreview.com/2024/06/05/1094058/ai-weather-model-outperforms-traditional-systems/