Artificial intelligence is becoming an asset in hurricane forecasting.
In 2024, an AI-based model created by Google correctly predicted Hurricane Beryl would make landfall in Texas while a top traditional model called for landfall in Mexico. Two months later, another AI-based model foresaw Hurricane Francine’s landfall in Louisiana many days in advance of traditional models.
Now, there is another dimension of hurricane forecasting where AI is expected to make an impact: flood forecasting.
Coastal engineering expert Navid Tahvildari studies how AI can be used to predict floods at the College of Engineering and Computing. While few such models are public today, he says, the technology and knowledge needed to make them are quickly coming together.
Tahvildari sat down with FIU News to discuss AI’s potential in flood forecasting.
Read more at FIU News.