Application of machine learning can optimize hurricane track forecast

When a hurricane approaches, providing a few extra hours’ notice can be the difference between life and death. Now, Penn State researchers report that applying a machine learning technique to a group of possible storm paths could help meteorologists provide more accurate medium-term forecasts and issue timely warnings to communities in the path of these potentially deadly storms.

Predicting a Hurricane’s Intensity Can Prove Difficult

Many scientists have said that hurricanes are more intense than ever before – Cat. 4 or 5 storms used to be outliers, but today, it seems they are becoming the norm. Why?

That’s the question a research team that includes a scientist from Nova Southeastern University’s (NSU) Halmos College of Natural Sciences and Oceanography is working to answer – they are looking what contributes to the rapid intensification of storms.