Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

David John Gagne, Hannah M. Christensen, Aneesh C. Subramanian +1

Stochastic parameterizations account for uncertainty in the representation of unresolved sub-grid processes by sampling from the distribution of possible sub-grid forcings. Some ex…