Machine Learning; Stochastic Parameterization; Generative Adversarial Networks; Lorenz; Climate; Weather

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

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