AI prediction

Aurora is a large-scale foundation model developed by Microsoft Research that is trained on more than one million hours of diverse weather and climate data. Aurora leverages the strengths of underlying model approaches to provide operational forecasts for a variety of atmospheric forecasting problems, including those with limited training data, variable heterogeneity, and extreme events. Aurora generates 5-day global air pollution forecasts and 10-day high-resolution weather forecasts in less than a minute, outperforming state-of-the-art traditional simulation tools and the best professional deep learning models. These results demonstrate that underlying models can alter environmental predictions.