News

A new algorithm combines AI weather forecasts with a physics-based climate model to efficiently characterize rare and dangerous weather events.

UChicago researchers combine AI with statistics and physics to better estimate the odds of rare weather events

Scientists at the University of Chicago are working on AI trained to model weather which could help create better, more accurate forecasts.

The University of Chicago's Human-Centered Weather Forecasts initiative is receiving a $250,000 seed grant to present a fully developed proposal later this year.

Miller will support scientists and manage international projects at the intersection of AI, weather, climate and health, with a specific focus on low- and middle-income countries.

The Human-Centered Weather Forecasts Initiative’s collaboration with the Ethiopian Meteorological Institute will establish an Africa-focused framework for AI-powered weather forecasting and build the local capacity needed to provide farmers with timely and actionable information.

Chief Meteorologist Emily Wahls explains how AI could change the way we forecast the weather.

Kowal—who previously served as a scientist at NOAA—will oversee large-scale projects and research that drives AI advances in weather forecasting, while expanding AI weather models as a tool for global decision-makers.

Advanced monsoon onset prediction with multi-week lead time via an artificial intelligence (AI) weather model helps smallholder farmers adapt to a changing climate.

HCWF partners with AIM for Scale in their effort to expand digital advisory services to reach 100 million farmers by 2030.