An additive model of annual temperature cycle, linear ERA5 amplification, and a U-Net residual reconstructs all-weather daily land surface temperature at 30 m with 2-3 K accuracy.
Representation of hetero- geneity effects in earth system modeling: Experience from land surface modeling
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Resolution Revolution: A Physics-Guided Deep Learning Framework for Spatiotemporal Temperature Reconstruction
An additive model of annual temperature cycle, linear ERA5 amplification, and a U-Net residual reconstructs all-weather daily land surface temperature at 30 m with 2-3 K accuracy.