Climate change has amplified the hydrologic cycle in Minnesota. Our more erratic precipitation patterns are driving faster transitions from drought to floods. So, can AI-driven forecasts help predict floods on rivers like the Mississippi?

“We need to make innovations in these sorts of models and in our flood forecasting in general,” said Zac McEachran, a research hydrologist from the University of Minnesota.

McEachran talked with MPR News meteorologist Paul Huttner about a new flood forecasting model that uses AI to improve local flood predictions.

Click play on the audio player above to listen to this episode or subscribe to the Climate Cast podcast.