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Model
Spherical Fourier Neural Operator model checkpoint package. This is a deep learning weather model that predicts 73 atmospheric/surface variables in an autoregressive fashion.
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| Field | Response |
|---|---|
| Generatable or reverse engineerable personally-identifiable information (PII)? | Neither |
| Was consent obtained for any PII used? | Not Applicable (N/A) |
| Protected class data used to create this model? | None |
| How often is dataset reviewed? | Before Release |
| Is a mechanism in place to honor data subject right of access or deletion of personal data? | No |
| If PII collected for the development of the model, was it collected directly by NVIDIA? | N/A |
| If PII collected for the development of the model by NVIDIA, do you maintain or have access to disclosures made to data subjects? | N/A |
| If PII collected for the development of this AI model, was it minimized to only what was required? | N/A |
| Is there provenance for all datasets used in training? | Yes |
| Does data labeling (annotation, metadata) comply with privacy laws? | Yes |
| Is data compliant with data subject requests for data correction or removal, if such a request was made? | N/A |