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physics.ao-ph2026
Developing an Offshore Machine Learning Surface Layer Scheme
Susan Dettling, Sue Ellen Haupt, Thomas Brummet +3
Turbulent fluxes between the surface and the atmosphere are typically parameterized using empirically fit relationships. Here we test machine learning techniques for fitting the re…
physics.ao-ph2019
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…