prithvi-refine
Add stochastic residual refinement to NARR Prithvi-UNet downscaling — a diffusion or flow-matching model of the residual y_true - y_hat trained on top of the frozen deterministic Prithvi model, giving a bias-corrected ensemble (mean and spread) instead of one field. Use when the user asks for diffusion, flow matching, generative or stochastic refinement, residual correction, ensembles, or uncertainty for NARR downscaling. NARR only; MERRA-2 has no refinement.
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