A Temporal Downscaling Model for Gridded Geophysical Data with Enhanced Residual U-Net
Liwen Wang,
Qian Li,
Xuan Peng
et al.
Abstract:Temporal downscaling of gridded geophysical data is essential for improving climate models, weather forecasting, and environmental assessments. However, existing methods often could not accurately capture multi-scale temporal features, affecting their accuracy and reliability. To address this issue, we introduce an Enhanced Residual U-Net architecture for temporal downscaling. The architecture, which incorporates residual blocks, allows for deeper network structures without the risk of overfitting or vanishing… Show more
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