A group of undergraduate students in the spent the Spring 2025 semester analyzing trends in environmental data and learning how it can be used to develop machine learning tools that support weather forecasting and disaster preparedness.
Atmospheric Science Undergrad Class Exposes Students to AI-Driven Weather Prediction
Tracking trends in weather data helps us gain crucial insight into our natural world — from rising global temperatures and air pollution levels to shifts in biodiversity and the frequency and severity...
