The U.S. National Oceanic and Atmospheric Administration’s National Weather and Hurricane Services is turning to AI to predict the weather.
The agency, which has been utilizing machine learning for years, is now leaning heavily on neural networks to boost prediction accuracy.
“Recently, the National Hurricane Center has started using a neural network-based model to look at intensity changes,” Chief Scientist at the National Weather Service, Monica Youngman, told Decrypt. “But these are just really pieces of that modeling puzzle that are being correlated for the modeling side.
As the effects of Hurricanes Helene and Milton linger, scientists are increasingly turning to artificial intelligence to give experts an edge in predicting and preparing for future storms. With climate change intensifying hurricanes, accurately forecasting their arrival and impact is becoming increasingly important.
Founded in 1970, the National Oceanic and Atmospheric Administration is a federal agency focused on understanding and predicting climate, weather, oceans, and coastal changes.
The much older National Weather Service (NWS),
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Author: Jason Nelson
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