A new artificial intelligence weather forecasting model developed by Google DeepMind, called GraphCast, has demonstrated superior performance compared to the world’s leading traditional numerical weather prediction system. The AI model produces accurate 10-day weather predictions in under one minute on a single machine, while the conventional system requires hours of computation on a supercomputer. GraphCast outperformed the European Centre for Medium-Range Weather Forecasts’ high-resolution forecast system (HRES) on over 90% of 1,380 test variables, including temperature, pressure, wind speed, and humidity at multiple atmospheric levels. The model was trained on decades of historical weather data from ECMWF’s reanalysis dataset, learning to predict future weather states from current and past conditions. Researchers emphasize that AI models like GraphCast should complement rather than replace traditional physics-based systems, as they rely on the data those systems produce. The technology could enable more frequent and accessible high-quality forecasts globally. Read the full article at: https://www.example.com/ai-weather-forecasting-breakthrough