Model
FourCastNet 3 is a probabilistic global weather modeling that uses geometric machine learning.
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| Field | Response |
|---|---|
| Model Application Field(s): | Climate |
| Describe the life critical impact (if present). | FourCastNet 3 achieves state of the art forecasting accuracy and can be used to forecast, among other events, extreme weather. Like any weather model, it is important to understand the accuracy and limitations - please see FourCastNet 3 paper to learn more. |
| Use Case Restrictions: | Abide by Apache 2.0 license. |
| Model and dataset restrictions: | The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to. |