Schmidt, VictorAlghali, MustafaSankaran, KrisBengio, YoshuaYuan, Tianle2020-03-262020-03-262020-02-10Schmidt, Victor; Alghali, Mustafa; Sankaran, Kris; Bengio, Yoshua; Yuan, Tianle; Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks; Atmospheric and Oceanic Physics (2020); https://arxiv.org/abs/2002.07579http://hdl.handle.net/11603/17650Eighth International Conference on Learning Representations, 2020We introduce a conditional Generative Adversarial Network (cGAN) approach to generate cloud reflectance fields (CRFs) conditioned on large scale meteorological variables such as sea surface temperature and relative humidity. We show that our trained model can generate realistic CRFs from the corresponding meteorological observations, which represents a step towards a data-driven framework for stochastic cloud parameterization.9 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)Text