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Xiao-Wei Gu

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Open access Sep 2026

Rapid Joint Downscaling of Multiple Atmospheric Fields to Kilometer Scale With Deep Learning

A U‐Net‐based deep learning framework, the Joint Atmospheric fields Downscaling Network (JADNet), for rapid, joint downscaling of multiple atmospheric variables to kilometer resolution is introduced, offering a powerful tool for scalable high‐resolution weather and climate applications.

Hong-Xing Cui, H. Dasari, S. Sanikommu et al. · 0 citations

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