Improving Explainability of Deep Learning for Polarimetric Radar Rainfall Estimation
Wenyuan Li,
Haonan Chen,
Lei Han
Abstract:Machine learning‐based approaches demonstrate a significant potential in radar quantitative precipitation estimation (QPE) applications. In contrast to conventional methods that depend on local raindrop size distributions, deep learning (DL) can establish an effective mapping from three‐dimensional radar observations to ground rain rates. However, the lack of transparency in DL models poses challenges toward understanding the underlying physical mechanisms that drive their outcomes. This study aims to develop … Show more
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