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F. Argenti

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Open access Aug 2026

Deep Learning Models for Quantitative Precipitation Estimation Based on Weather-Radar and Rain-Gauge Datasets

The model is evaluated on a severe convective event that affected Tuscany, Italy, on 2 November 2023, benchmarking its performance against the classical Joss–Waldvogel Z−R relationship, a data-driven log-regression of weather-radar and rain-gauge data, and a baseline CNN architecture.

Matteo Passeri, F. Argenti, Daniele Baracchi et al. · 0 citations

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