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: | , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
IEEE
2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Schlagworte: | |
| ISSN: | 0196-2892, 1558-0644 |
| Online-Zugang: | Volltext |
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