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Machine Learning with Feature Importance Analysis for Tornado Prediction from Environmental Sounding Data
[article]
2020
Tornadoes pose a forecast challenge to National Weather Service forecasters because of their quick development and potential for life-threatening damage. The use of machine learning in severe weather forecasting has recently garnered interest, with current efforts mainly utilizing ground weather radar observations. In this study, we investigate machine learning techniques to discriminate between nontornadic and tornadic storms solely relying on the Rapid Update Cycle (RUC) sounding data that
doi:10.13016/m286bn-ybzj
fatcat:c7kcyofzajdlbc4e6hollprbia