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Modulus Checkpoints: Spherical Fourier Neural Operator
Model
NVIDIA
NVIDIA
Modulus Checkpoints: Spherical Fourier Neural Operator

Spherical Fourier Neural Operator model checkpoint package. This is a deep learning weather model that predicts 73 atmospheric/surface variables in an autoregressive fashion.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Intended Application & Domain:Global Weather Forecasting
Model Type:Spherical Fourier 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
Verified to have met prescribed quality standards:Yes
Performance Metrics:Error, Accuracy, Throughput and Latency
Potential Known Risks:None Known
Licensing:Apache 2.0 license.

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