kashif HF Staff commited on
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Add inference result images to model card

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  1. README.md +16 -0
README.md CHANGED
@@ -309,6 +309,22 @@ fig.colorbar(im, ax=ax, shrink=0.7, label="dBZ")
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  plt.savefig("refc_prediction.png", dpi=150, bbox_inches="tight")
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  ```
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  ## Limitations
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  - **Regression-only:** No diffusion model, so predictions are spatially smooth. The full StormCast pipeline requires the EDM diffusion stage for realistic fine-grained storm structure (convective cells, precipitation bands).
 
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  plt.savefig("refc_prediction.png", dpi=150, bbox_inches="tight")
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  ```
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+ ## Example Inference Results
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+ 4-hour autoregressive forecast initialized from HRRR analysis on 2026-03-13 00Z, with GFS conditioning. Showing 2m temperature, 10m U-wind, composite reflectivity, and mean sea level pressure.
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+ **Initial conditions (+0h):**
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+ ![StormCast CONUS +0h](images/stormcast_conus_2026-03-13_lead0h.png)
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+ **+2h forecast:**
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+ ![StormCast CONUS +2h](images/stormcast_conus_2026-03-13_lead2h.png)
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+ **+4h forecast:**
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+ ![StormCast CONUS +4h](images/stormcast_conus_2026-03-13_lead4h.png)
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  ## Limitations
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  - **Regression-only:** No diffusion model, so predictions are spatially smooth. The full StormCast pipeline requires the EDM diffusion stage for realistic fine-grained storm structure (convective cells, precipitation bands).