While a growing number of powerful new AI models provide new tools to help better anticipate the weather, a new paper published in Nature explains how a foundation model, known as Aurora, leverages the latest advances in AI to more accurately predict not just the weather, but a wide range of environmental events in a series of retrospective analyses — from hurricanes and typhoons to air quality and ocean waves. Developed by Microsoft Research, Aurora also forecasts this range of atmospheric events with greater precision and speed and at much lower computational cost when compared to traditional numerical forecasting and previous AI approaches.