Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks

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dc.contributor.authorSchmidt, Victor
dc.contributor.authorAlghali, Mustafa
dc.contributor.authorSankaran, Kris
dc.contributor.authorBengio, Yoshua
dc.contributor.authorYuan, Tianle
dc.date.accessioned2020-03-26T17:16:22Z
dc.date.available2020-03-26T17:16:22Z
dc.date.issued2020-02-10
dc.descriptionEighth International Conference on Learning Representations, 2020en_US
dc.description.abstractWe 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.en_US
dc.description.urihttps://arxiv.org/abs/2002.07579en_US
dc.format.extent9 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/m2yzsj-c41r
dc.identifier.citationSchmidt, 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/2002.07579en_US
dc.identifier.urihttp://hdl.handle.net/11603/17650
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis 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.
dc.rightsAttribution-ShareAlike 4.0 International (CC BY-SA 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/*
dc.titleModeling Cloud Reflectance Fields using Conditional Generative Adversarial Networksen_US
dc.typeTexten_US

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