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Machine learning for stochastic parameterization: Generative adversarial...

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University Corporation for Atmospheric Research2026-03-21 收录
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https://ckanprod.data-commons.k8s.ucar.edu/dataset/machine-learning-for-stochastic-parameterization-generative-adversarial-networks-in-the-lorenz-
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Stochastic parameterizations account for uncertainty in the representation of unresolved subgrid processes by sampling from the distribution of possible subgrid forcings. Some...
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