| --- |
| license: mit |
| tags: |
| - climate |
| - downscaling |
| - diffusion |
| - pytorch |
| --- |
| |
| # ERA5→CONUS404 Diffusion Downscaling — Model + Full Dataset |
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| 41 yearly CONUS404 NetCDF files (WRF dynamical downscaling of ERA5 over |
| CONUS at 4km resolution, NCAR), 1980–2020. This is the model's raw training |
| target data, not preprocessed/cached tensors. |
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| **For the current, verified-matching diffusion+VAE+DRN checkpoint set, use |
| [mudhil/era5-conus404-diffusion-downscaling](https://huggingface.co/mudhil/era5-conus404-diffusion-downscaling) instead.** |
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| A three-stage "Latent CorrDiff" pipeline downscaling ERA5 (0.25°) to |
| CONUS404 (4km): a DRN predicts the conditional mean (49.6M params), a VAE |
| compresses the residual to a 64×64×8 latent (39.7M params), and an EDM |
| diffusion UNet (142.4M params) generates the latent residual. Six |
| variables: t2m/d2m/u10/v10/sp/tp → T2/TD2/U10/V10/PSFC/PREC_ACC_NC. |
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