numerical weather prediction

Numerical weather prediction traditionally relies on physics-based models that simulate atmospheric processes using principles like conservation of energy and momentum. Recent advances in artificial intelligence, however, are transforming this field. A notable example is Aurora, a foundation AI model backed by Microsoft and developed with universities, which represents a shift toward AI-driven forecasting. This tag covers discussions on how AI models like Aurora are redefining weather prediction, potentially improving accuracy and efficiency compared to conventional numerical methods. Topics include the integration of machine learning with meteorological data and the implications for future forecasting systems.