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SFTformer: A Spatial-Frequency-Temporal Correlation-Decoupling Transformer for Radar Echo Extrapolation
Feb. 29, 2024, 5:45 a.m. | Liangyu Xu, Wanxuan Lu, Hongfeng Yu, Fanglong Yao, Xian Sun, Kun Fu
cs.CV updates on arXiv.org arxiv.org
Abstract: Extrapolating future weather radar echoes from past observations is a complex task vital for precipitation nowcasting. The spatial morphology and temporal evolution of radar echoes exhibit a certain degree of correlation, yet they also possess independent characteristics. {Existing methods learn unified spatial and temporal representations in a highly coupled feature space, emphasizing the correlation between spatial and temporal features but neglecting the explicit modeling of their independent characteristics, which may result in mutual interference between …
abstract arxiv correlation cs.cv echo evolution future independent learn nowcasting precipitation radar spatial temporal transformer type vital weather
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