Jan 4, 2024 · We propose a novel method to improve the spatial resolution of GRACE observations. Our approach leverages a deep learning downscaling model that integrates ...
The model incorporates the estimated total water storage changes from GRACE and some hydrological variables—including the Digital Elevation Model (DEM), soil ...
A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China · Gu, Songwei · Zhou, ...
Jan 19, 2024 · The model incorporates the estimated total water storage changes from GRACE and some hydrological variables— including the digital elevation ...
A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China. IEEE Trans ...
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A Fast Generative Adversarial Network Combined with Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China. S Gu, Y Zhou, L Zhao ...
A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China · Songwei GuYun ...
A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China. 2024, IEEE ...
A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China. IEEE Transactions ...
Oct 22, 2024 · A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China.