Generating Antarctic Sub-shelf Melt Using Recurrent Neural Network-based Generative Adversarial Networks on Spatiotemporal Pixel Clusters

Shelton, Jacquelyn

Generating Antarctic Sub-shelf Melt Using Recurrent Neural Network-based Generative Adversarial Networks on Spatiotemporal Pixel Clusters

Jacquelyn Shelton, Hong Kong Polytechnic University, Land Surveying and Geo-Informatics, Hong Kong, Hong Kong, Alexander Robel, Georgia Institute of Technology Main Campus, Earth and Atmospheric Science, Atlanta, United States, Matthew J Hoffman, Los Alamos National Laboratory, Fluid Dynamics and Solid Mechanics, Los Alamos, United States and Stephen F Price, Los Alamos National Laboratory, Los Alamos, NM, United States