Model
Corrector Diffusion (CorrDiff) US GEFS-HRRR is a generative downscaling model for the contiguous United States.
Subscription required to access this content
| Field | Response |
|---|---|
| Intended Application & Domain: | Global Weather Forecasting |
| Model Type: | Diffusion Model |
| Intended User: | Climate and Weather scientists accelerating weather prediction with AI. |
| Output: | Downscaled inputs. |
| Describe how the model works: | Diffusion model progressively adds noise to interpolated input to recreate fine-resolution features. |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable |
| Technical Limitations: | The model may perform poorly for data sources different from that in the ERA5 training dataset |
| Verified to have met prescribed NVIDIA quality standards: | Yes |
| Performance Metrics: | Accuracy, Throughput and Latency |
| Potential Known Risks: | This model may mispredict fine-resolution features. |
| Licensing: | NVIDIA AI Foundation Models Community License |