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  • NVIDIA
    Modulus Checkpoints: Spherical Fourier Neural Operator
    Model
    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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