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August 16, 2025Open Access

Object-based hail-size detection and nowcasting in Switzerland using random forests on polarimetric radar data

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The new algorithm significantly outperforms the operational hail size discrimination model, enhancing predictive capabilities for hail events.
Random forests trained on a rich dataset of crowdsourced hail reports yield precise hail size detection and classifications.
The analysis utilizes polarimetric radar data, focusing on features like echo tops and hail differential reflectivity for improved accuracy.
The study highlights the utility of object-based datasets for better nowcasting, suggesting broader applications in weather forecasting.

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Machine learning improves hail size detection and nowcasting in Switzerland using radar data, indicating enhanced prediction accuracy.

Aregger et al. (2025) studied this question.

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