Corpus ID: 209374158

DeepClimGAN: A High-Resolution Climate Data Generator

@article{Puchko2020DeepClimGANAH,
  title={DeepClimGAN: A High-Resolution Climate Data Generator},
  author={Alexandra Puchko and R. Link and Brian Hutchinson and B. Kravitz and Abigail Snyder},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.11705}
}
Earth system models (ESMs), which simulate the physics and chemistry of the global atmosphere, land, and ocean, are often used to generate future projections of climate change scenarios. These models are far too computationally intensive to run repeatedly, but limited sets of runs are insufficient for some important applications, like adequately sampling distribution tails to characterize extreme events. As a compromise, emulators are substantially less expensive but may not have all of the… Expand
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