How AI Can Make Weather Forecasting Less Cloudy
Amy McGovern is one of those rare people who moved to Oklahoma for the weather.
Which isn’t to say she personally enjoys the tornadoes that regularly tear through the state or the routine pummeling with golf-ball-size hail. “I’m on roof number three in 15 years,” she laughs.
But that severe weather is her reason for coming: A computer scientist who formerly worked in robotics, she was recruited by the University of Oklahoma’s school of meteorology. And last fall, with $20 million from the National Science Foundation, she launched one of the country’s foremost institutes applying artificial intelligence to weather and climate. As new techniques in machine learning become ubiquitous and yield startling applications, such as recognizing faces or mimicking human writing, her center is part of a new push to see if they can read the clouds.