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.


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Source: Phys.org