An AI dataset carves new paths to tornado detection
1 min read
Photo caption: Mark Veillette (left) and James Kurdzo compiled TorNet, an open-source dataset containing thousands of radar images depicting tornadoes and other severe storms. The dataset can serve as a benchmark for researchers to develop tornado-detecting AI algorithms. Photo credit: Glen Cooper. Article by Kylie Foy | MIT Lincoln Laboratory. MIT News – April 29, 2024. Paper: A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data.
TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters’ ability to issue warnings.
The return of spring in the Northern Hemisphere touches off tornado season. A tornado’s twisting funnel of dust and debris seems an unmistakable sight. But that sight can be obscured to radar, the tool of meteorologists. It’s hard to know exactly when […]
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