About this Event
How AI Is Transforming Climate Prediction
Tuesday, March 10, 2026—Program at 5:30 p.m.; Reception following the program
Marybeth Arcodia, Ph.D., assistant professor, Department of Atmospheric Sciences, Rosenstiel School, and core faculty member, Frost Institute for Data Science and Computing
The climate system is chaotic and noisy—yet within this noise lie windows of predictability that enable more accurate weather and climate forecasts. In this talk, Marybeth Arcodia explores how artificial intelligence is transforming our ability to forecast Earth’s climate. By combining next-generation AI tools with explainable approaches that make machine learning more transparent, researchers are uncovering new sources of predictability and translating vast amounts of data into meaningful insights. These advances are redefining the limits of traditional climate prediction, helping society better prepare for extreme events and understand the dynamics of our rapidly changing planet.
About the Speaker
Marybeth Arcodia is an assistant professor jointly appointed in the Department of Atmospheric Sciences at the Rosenstiel School and the Frost Institute for Data Science and Computing at the University of Miami. Her research bridges Earth system predictability and prediction, integrating atmospheric science with AI-based techniques to understand variability and change from weather to climate scales. She focuses on localized impacts in future climates to improve preparedness for climate risk. Arcodia is a member of the US CLIVAR Predictability, Predictions, and Applications Interface Panel and the Working Group on Climate Data and Predictions for Coastal Solutions. Before joining the Rosenstiel School as a faculty member, she was a research scientist at Colorado State University and earned her Ph.D. in atmospheric sciences from the Rosenstiel School.
Event Venue & Nearby Stays
University of Miami Rosenstiel School of Marine and Atmospheric Science, 4600 Rickenbacker Causeway, Miami, United States
USD 0.00
