AFTA-Net: Axial Fusion and Triaxial Factorised Attention Network for Nowcasting of Severe Convective Weather

Radar echo extrapolation is a core technique for 0–2 h nowcasting, yet existing deep learning models often struggle with non-linear atmospheric motion and intensity attenuation due to insufficient feature decoupling. To address these limitations, this paper proposes AFTA-Net, a novel encoder–decoder...

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Autors principals:	Huantong Geng, Delong Fang, Xiaoran Zhuang, Liangchao Geng, Xinxin Zeng
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-02-01
Col·lecció:	Sensors
Matèries:	radar echo extrapolation deep learning spatiotemporal decoupling feature recalibration severe weather nowcasting attention mechanism
Accés en línia:	https://www.mdpi.com/1424-8220/26/5/1409
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