As severe storm tracking and predictions improve, an element of those storms remains a mystery: hail. Predicting when the balls of ice will fall from the sky is complex, and Central Michigan University's John Allen is on a mission to find answers.
"There isn't a way of forecasting how big hail will be the day before, or even the day of, it's occurrence," said Allen, a faculty member in
Earth and Atmospheric Sciences. "We don't have a good handle on why one storm produces small hail and another will produce really big hail."
But Allen and his student researchers aim to change that. Better forecasts could mean big savings. By having a better understanding of the processes that lead to hail, Allen is hoping the research will lead to improved forecasts and warnings.
"I'd like to get to a point where we will be able to warn people to put their car in the garage today because we're expecting hail," Allen said.
With support from the
National Science Foundation, Allen and a team of student researchers are analyzing data to better understand what happens within a thunderstorm to identify the mix of ingredients that cause hail.
"We know hailstorms peak between 3 and 6 p.m. in the United States, as that's the hottest part of the day," Allen said. "We're looking to see if there is are conditions that produce larger hail, or if there is something in the wind profile or instability between the Earth's surface and the upper levels of the atmosphere."
Allen noted that hail is the most expensive natural hazard associated with severe storms, causing more than $10 billion a year in damage. The destruction largely impacts building roofs and vehicles, but it can also affect agriculture and vulnerable ecosystems.
"Small hail can fall in large volumes, creating inches of hail fall," Allen said. "This can cause devastation to vegetation and crops, like we saw with hail a few years ago impacting the cherry crop in the Traverse City region in northern Michigan."
In addition to studying hail, Allen also is researching severe thunderstorms and climate change, as well as approaches to automated cold and warm front detection.