AI hurricane forecasting shows promise but faces skepticism over handling unprecedented storms
By
Julia Musto
Summary
The article discusses how AI models, including Google's DeepMind, are being used to improve hurricane forecasting by recognizing patterns in historical weather data much faster than traditional human-led methods. While AI can produce forecasts in minutes compared to hours for humans, scientists remain skeptical about its reliability when facing unprecedented or extreme weather events driven by climate change. The National Oceanic and Atmospheric Administration (NOAA) has been testing AI models for several years with increasing accuracy, but concerns persist about the technology's ability to protect communities during rare, catastrophic scenarios that fall outside historical patterns.
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Key quotes
· 3 pulledIt takes humans a couple of hours to put together a traditional hurricane forecast - but AI can recognize patterns in a matter of minutes using decades of historical weather data.
Large and unpredictable Atlantic hurricanes are becoming more common due to climate change, with scientists increasingly relying on AI to improve forecasts.
The National Oceanic and Atmospheric Administration, the country's premiere hurricane forecasters, has been testing AI models for several years now, with increasingly accurate
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