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.
Reconstruction of hourly all-weather land surface temperature by integrating reanaly- sis data and thermal infrared data from geostationary satel- lites (rtg)
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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.