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Radar and environment-based hail damage estimates using machine learning

<p>Large hail events are typically infrequent, with significant time gaps between occurrences at specific locations. However, when these events do happen, they can cause rapid and substantial economic losses within a matter of minutes. Therefore, it is crucial to have the ability to accurately obser...

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Bibliografiska uppgifter
Huvudupphov: L. Ackermann, J. Soderholm, A. Protat, R. Whitley, L. Ye, N. Ridder
Materialtyp: Artigo
Språk:Inglês
Utgiven: Copernicus Publications 2024-01-01
Serie:Atmospheric Measurement Techniques
Länkar:https://amt.copernicus.org/articles/17/407/2024/amt-17-407-2024.pdf
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