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.
Precipitaion Nowcasting using Deep Neural Network , publisher =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.