A new dataset called TorNet has been released by MIT Lincoln Laboratory researchers, which contains radar returns from thousands of tornadoes in the United States over the past 10 years. The dataset and accompanying models show promise for machine learning algorithms to detect and predict tornadoes, potentially improving forecasting and saving lives.
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