Tropical cyclone forecasting

Tampa is still 2-5, which is not good, but hey, there's a lot of season left.

Hurricane forecasting has now entered its second year of the AI era, where forecasters are using artificial intelligence to predict storms.

But like a lot of industries that have started to implement AI into their workflow, there's been some bumps along the way, including in its accuracy, which of course is really, really important when it comes to hurricane predicting.

WUSF's Jessica Mazaros has been talking to people in the forecasting field about this.

Not one hurricane is like another.

So that's why it's really important to have an expert's eye look at this and not just compare storms apples to apples.

And if you want to read more about this subject, AI's implementation into important hurricane forecasting, you can right now just go to WUSF.org and give Jessica's story a read.

Jess, thanks for the time.

Michael Lowry is a meteorologist and hurricane expert in Miami.

He says overall, the introduction of AI modeling has been revolutionary to hurricane forecasting, but it's really different.

Traditional hurricane models take data like temperature and wind shear, then use complicated physics equations to predict what a storm will do next.

But AI relies more on history, Lowry says.