A Hybrid Spatiotemporal Approach for Severe Rainfall Nowcasting Using Kriging and Recurrent Neural Networks
Accurate nowcasting of localized extreme rainfall remains particularly challenging when observations are based on sparse and irregular rain-gauge networks. This article presents a framework for 1-h-ahead severe rainfall nowcasting that integrates spatial reconstruction, spatiotemporal deep learning, and extremes-orient...