A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior accuracy compared to traditional physics-based systems in global medium-range forecasts. The model, named GraphCast, uses machine learning to analyze decades of historical weather data and current atmospheric conditions to predict weather patterns up to 10 days in advance. In head-to-head comparisons with the European Centre for Medium-Range Weather Forecasts’ high-resolution forecast (HRES), GraphCast provided more accurate predictions for over 90% of 1,380 test variables, including critical measurements like atmospheric pressure, temperature, and wind speed. The AI system can generate a 10-day forecast in under one minute on a single Google TPU v4 machine, a significant reduction from the hours required by conventional methods. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional systems, offering a powerful new tool for meteorologists. Read the full article at: https://technologyreview.com/2023/11/14/1083919/ai-weather-forecasting-model-graphcast/