SDIR is a dual-path iterative refinement model using scale-adaptive transformers and Fourier operators plus a physically consistent spectral loss to improve both spatial accuracy and turbulence-consistent frequency content in precipitation nowcasting.
In: arXiv Preprint Arxiv:2410.04733 (2024)
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Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting
SDIR is a dual-path iterative refinement model using scale-adaptive transformers and Fourier operators plus a physically consistent spectral loss to improve both spatial accuracy and turbulence-consistent frequency content in precipitation nowcasting.
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