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DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
March 27, 2024, 4:46 a.m. | Demin Yu, Xutao Li, Yunming Ye, Baoquan Zhang, Chuyao Luo, Kuai Dai, Rui Wang, Xunlai Chen
cs.CV updates on arXiv.org arxiv.org
Abstract: Precipitation nowcasting is an important spatio-temporal prediction task to predict the radar echoes sequences based on current observations, which can serve both meteorological science and smart city applications. Due to the chaotic evolution nature of the precipitation systems, it is a very challenging problem. Previous studies address the problem either from the perspectives of deterministic modeling or probabilistic modeling. However, their predictions suffer from the blurry, high-value echoes fading away and position inaccurate issues. The …
arxiv cs.cv diffusion framework nowcasting precipitation residual type via
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