

Farming maize in ice age Michigan, predicting the future climate of cities, and our host takes a quiz on the sounds of science
11 snips Jun 5, 2025
Join climate expert Paul Voosen, who shares insights on the challenges of regional climate prediction, emphasizing the need for localized models amidst global climate changes. Discover the fascinating research of Madeleine McLeester, who highlights how the Indigenous Menominee cultivated maize during an ice age using advanced LIDAR technology. The discussion prompts a reevaluation of historical agricultural practices in Michigan. Plus, enjoy a fun quiz where host Sarah Crespi tests her knowledge on the sounds of science!
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Challenges of Regional Climate Modeling
- Global climate models predict large-scale climate changes well but struggle with small-scale regional details.
- Local climate prediction requires refining coarse models to account for complex local geographic features.
Austin's Water Planning Story
- Austin, Texas used climate modeling to plan their century-long water system amid historic drought.
- They faced challenges balancing drought predictions with unexpected heavy rainfall events in future scenarios.
Bias Correction and Downscaling Limits
- Bias correction adjusts model outputs to match historical local data, but risks distorting future predictions.
- Downscaling improves spatial detail but can inherit model biases, complicating interpretation.