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How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica

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How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica

The National Hurricane Center was able to issue advanced weather warnings to give communities in Jamaica additional lead time to prepare, evacuate, and help protect livelihoods

In October 2025, Hurricane Melissa made history. It was the strongest hurricane on record to land in Jamaica and tied for the strongest hurricane in the Atlantic.

The National Hurricane Center’s (NHC) forecast also marked a historic milestone. For the first time, they predicted a storm would reach Category 5 intensity starting from Category 1 wind speed. Our AI model WeatherNext helped the NHC make this decision by predicting the storm’s rapid intensification and landfall in Jamaica with high confidence—and most critically, this prediction came five days in advance.

Predicting dangerous storms earlier and more accurately helps teams on the ground to better mobilize resources and coordinate evacuations effectively.

Watch how WeatherNext provided accurate, early forecasting for 2025’s Hurricane Melissa and its Category 5 landfall in Jamaica.

Predicting a storm’s path is difficult, but predicting a sudden jump in strength - known as “rapid intensification” - is even harder. This occurs when a hurricane's winds increase by at least 35 mph in just 24 hours. These events are very difficult to predict and also exceedingly dangerous because a weak system can transform into a major hurricane overnight, leaving little time to prepare.

Tropical storms and hurricanes can change very quickly in terms of their structure and their intensity, which makes them more challenging to predict than other types of weather systems.

Historically, meteorologists faced a trade-off: larger global models were excellent at predicting a storm’s path, but often lacked the resolution to see the small-scale thunderstorms that drove its “engine”.


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