Exploring the Explainability of a Machine Learning Tool to Improve Severe Thunderstorm Wind Reports

Output from a machine learning tool that assigns a probability that a severe thunderstorm wind report was caused by severe intensity wind was evaluated to understand counterintuitive cases where reports that had a high (low) wind speed received a low (high) diagnosed probability. Meteorological data...

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Bibliographic Details
Main Authors: Elizabeth Tirone, William A. Gallus, Alexander J. Hamilton
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Atmosphere
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Online Access:https://www.mdpi.com/2073-4433/16/7/881
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