SSRF-Net: A Stagewise Scheduled Rainfall Forecasting Network With an Asymmetric Architecture

Deterministic deep learning models for precipitation nowcasting often face several limitations, including cumulative error in long-sequence predictions, over-smoothing, and a reduced ability to capture rare, high-impact rainfall due to data imbalance. To address these challenges, we propose the stag...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing Jg. 63; S. 1 - 18
Hauptverfasser: Luo, Wenjie, Li, Chaorong, Ling, Xudong, Deng, Chuanhu, Wang, Zhuo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0196-2892, 1558-0644
Online-Zugang:Volltext
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