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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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Principais autores: Elizabeth Tirone, William A. Gallus, Alexander J. Hamilton
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2025-07-01
Serija:Atmosphere
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Online dostop:https://www.mdpi.com/2073-4433/16/7/881
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