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Model
FourCastNet V2 model for predicting atmospheric dynamics.
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| Field | Response |
|---|---|
| Intended Application & Domain: | Global Weather Forecasting |
| Model Type: | Neural Operator |
| Intended User: | Climate and Weather scientists accelerating weather prediction with AI. |
| Output: | Global forecast prediction of surface and atmosphere variables. |
| Describe how the model works: | Neural operator auto-regressively predicts a time-series forecast from an initial state. |
| 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 longer range forecasts and atmospheric 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 global atmospheric dynamics. |
| Licensing: | NVIDIA AI Product Agreement |