A new artificial intelligence weather forecasting model developed by Google DeepMind has demonstrated superior accuracy compared to current state-of-the-art systems. The model, named GraphCast, leverages machine learning and decades of historical weather data to predict global weather patterns up to 10 days in advance. In a head-to-head comparison 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 atmospheric conditions like temperature, pressure, and wind speed. The AI system operates significantly faster, generating a 10-day forecast in under one minute on a single Google TPU, a task that takes traditional numerical weather prediction models hours to compute on supercomputers. Researchers emphasize that AI models like GraphCast are not intended to replace but to complement existing physics-based systems, potentially leading to more timely and precise warnings for extreme weather events. The findings were published in the journal Science. For the full details, read the complete article at https://sciencedaily.com/releases/2023/11/231114143522.htm.