AirCast-SR is a latent consistency diffusion model that super-resolves GraphCast forecasts to 1 km hourly resolution over eight surface variables with near-zero bias and preserved fine-scale spectral power.
Analysis of Record for Calibration (AORC), version 1.1,
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AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion
AirCast-SR is a latent consistency diffusion model that super-resolves GraphCast forecasts to 1 km hourly resolution over eight surface variables with near-zero bias and preserved fine-scale spectral power.