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. In a comprehensive evaluation, GraphCast provided more accurate 10-day forecasts for over 90% of 1,380 test variables, including critical atmospheric measurements like temperature, pressure, and humidity. The AI model operates significantly faster, generating a 10-day forecast in under one minute on a single machine, whereas conventional methods can take hours on supercomputers. Researchers emphasize that GraphCast is not intended to replace existing systems but to complement them, potentially improving early warnings for extreme weather events. The model was trained on decades of historical weather data to learn the complex physics of atmospheric dynamics. For the full details, read the complete article at https://technologyreview.com/2024/03/14/ai-weather-model-graphcast-outperforms-traditional-systems.