A Purdue University researcher and his team have used improved satellite imaging and powerful computer modeling to more accurately forecast the likelihood and intensity of storms and tornados.
The key to the new weather prediction model is its more precise simulation of the amount of moisture surface vegetation is releasing into the upper atmosphere to affect the weather conditions, said Dev Niyogi (pronounced Dave Knee-yoo-gee), an assistant professor of agronomy and earth and atmospheric sciences. Niyogi said that current weather prediction models represent vegetation at a very simplistic level.
"How well we are able to represent one leaf in a weather forecast model can be a key to predicting thunderstorms," he said. "In fact, the amount of moisture plants are emitting during photosynthesis may be considered the local trigger that trips fronts into violent weather."
Mike Lillich | EurekAlert!
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