Researchers at the National Center for Atmospheric Research are using facial recognition technology to predict hail storms.
BOULDER, Colo. — Scientists at the National Center for Atmospheric Research in Boulder are working on new technology to better predict hail storms. It uses the same algorithm as facial recognition software in cell phones to determine which storms could result in hail and how big the hail stones will be.
“This can help forecasters by helping them deal with the large amount of data they receive every single day,” said David John Gagne, a machine learning scientist at NCAR.
In a cell phone, when a user sets up the facial recognition application, the software takes pictures of their face to establish a machine learning model.
“That model will look for patterns in your face to say, ‘this face is you and not someone else’s,’” Gagne said.
After that, each time a user tries to unlock their phone, it will take another picture and compare patterns to make sure it’s the same user before granting access.
The idea with this new application to technology is to take the algorithm and apply it to weather patterns.
“Instead of giving it pictures of faces, you give it pictures of storms,” Gagne said. “We can use the same type of algorithm to look at large numbers of storms and differentiate the ones that produce large hail from the ones that produce small hail.”
The algorithm can help detect not only where a hail storm is expected to hit but, to a certain extent, how large the stones are expected to be.
“Hail was a really untapped area for improving predictions,” he said.
Colorado and Wyoming are considered the hail capital of the country. Predicting weather in Colorado is hard to due to the 14,000-foot wall the mountains create that blocks air masses and changes the way winds flow.
This type of technology could help lessen the uncertainty in those predictions to better warn the public about incoming storms, giving them time to take steps to protect themselves and their property.
The machine learning model is a long time coming; in order to get to this point, researchers had to upload information about numerous previous storms into the machine learning model to establish a database for which ones produced hail.
Based on that data, the model can then look for similar patterns and predict the probability of a hail storm happening.
“What the machine learning models will do is look at slices of those storms, so it’s sort of like you’re looking at an MRI looking at slices of your body,” Gagne said.
For now, the technology stops short of predicting if a hail stone will be bigger than a golf ball, though, since these events are rare and there is not enough data on them to establish an accurate pattern.[…]