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Meteorologists have gotten pretty damn good at forecasting a hurricane’s track. But they still struggle to calculate when it will intensify, as it’s seriously hard to understand what’s happening inside a tropical cyclone. A new machine learning model developed by NASA could dramatically improve their calculations, and give people in a hurricane’s path more time to prepare. Scientists at the space agency’s Jet Propulsion Laboratory in Southern California developed the system after searching through years of satellite data. They discovered three strong signals that a hurricane will become more severe: abundant rainfall inside the storm‘s inner core; the amount of ice water in…
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