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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