Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks
dc.contributor.author | Schmidt, Victor | |
dc.contributor.author | Alghali, Mustafa | |
dc.contributor.author | Sankaran, Kris | |
dc.contributor.author | Bengio, Yoshua | |
dc.contributor.author | Yuan, Tianle | |
dc.date.accessioned | 2020-03-26T17:16:22Z | |
dc.date.available | 2020-03-26T17:16:22Z | |
dc.date.issued | 2020-02-10 | |
dc.description | Eighth International Conference on Learning Representations, 2020 | en_US |
dc.description.abstract | We 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.uri | https://arxiv.org/abs/2002.07579 | en_US |
dc.format.extent | 9 pages | en_US |
dc.genre | conference papers and proceedings preprints | en_US |
dc.identifier | doi:10.13016/m2yzsj-c41r | |
dc.identifier.citation | Schmidt, 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/2002.07579 | en_US |
dc.identifier.uri | http://hdl.handle.net/11603/17650 | |
dc.language.iso | en_US | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Joint Center for Earth Systems Technology | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.rights | This 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.rights | Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) | * |
dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ | * |
dc.title | Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks | en_US |
dc.type | Text | en_US |