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Session
  • Presentation | NG33B: Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences IV Poster
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  • NG33B-0438: AQcGAN - A Deep Conditional Generative Adversarial Network for Emulating and Extending Global Atmospheric Composition Forecasts
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  • Board 0438‚ Hall EFG (Poster Hall)
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Author(s):
Jennifer Sleeman, Johns Hopkins University Applied Physics Laboratory (First Author, Presenting Author)
Viral Shah, Morgan State University
Patricia Castellanos, NASA Goddard Space Flight Center
Christoph Keller, Swiss Re
Christopher Ribaudo, Johns Hopkins University Applied Physics Laboratory
Adeline Hillier, Johns Hopkins University Applied Physics Laboratory
Caroline Tang, Johns Hopkins University Applied Physics Laboratory
Collin Kofroth, Johns Hopkins University Applied Physics Laboratory
Alex Chen, Johns Hopkins Applied Physics Laboratory
Pam Wales, NASA Goddard Space Flight Center
Jules Kouatchou, Science Systems and Applications, Inc.
Ravi Govindaraju, Science Systems and Applications, Inc.
Katherine Breen, NASA Goddard Space Flight Center
K. Emma Knowland, NASA Headquarters

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