Weather forecast algorithm helps spot dangerous cloud formations: Page 2 of 2

July 09, 2019 //By Rich Pell
Weather forecast algorithm helps spot dangerous cloud formations
Researchers at Penn State (State College, PA), AccuWeather (State College, PA), and the University of Almería in Spain have created an AI algorithm that could help meteorologists detect cloud formations that lead to storms.
our method can detect some comma-shaped clouds before they are fully formed, and our detections are sometimes earlier than human eye recognition."

The project expands upon earlier work between AccuWeather and a College of IST research group led by professor James Wang, who is the dissertation adviser of Zheng.

"We recognized when our collaboration began [with AccuWeather in 2010] that a significant challenge facing meteorologists and climatologists was in making sense of the vast and continually increasing amount of data generated by Earth observation satellites, radars and sensor networks," says Wang. "It is essential to have computerized systems analyze and learn from the data so we can provide timely and proper interpretation of the data in time-sensitive applications such as severe-weather forecasting."

"The benefit [of this research]," adds Wistar, "is calling the attention of a very busy forecaster to something that may have otherwise been overlooked."

Looking ahead, say the researchers, more research to integrate this approach with existing numerical weather-prediction models and other simulation models promises to make weather forecasts more accurate and useful. For more, see " Detecting Comma-Shaped Clouds for Severe Weather Forecasting Using Shape and Motion ."

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