A satellite-conditioned diffusion model with station-guided sampling is claimed to downscale ERA5 weather fields to 6.25 km more accurately than existing methods, but the evaluation is circular.
Cligan: A struc- turally sensitive convolutional neural network model for sta- tistical downscaling of precipitation from multi-model en- sembles
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Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution
A satellite-conditioned diffusion model with station-guided sampling is claimed to downscale ERA5 weather fields to 6.25 km more accurately than existing methods, but the evaluation is circular.