Recurrent U-net: Deep learning to predict summertime ozone over the United States

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    W[2019AGUFM.A51U2676H]
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    LI["Linked Institutions (6)"]
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ADS bibcode
2019AGUFM.A51U2676H
year
2019
Listed Authors
He, T. L.
Huang, B.
Liu, Y.
Jones, D. B. A.
Miyazaki, K.
Jiang, Z.
White, E. C.
Worden, H. M.
Worden, J.
Listed Institutions
Department of Physics, University of Toronto, Toronto, ON, Canada
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States
Department of Computer Science, University of Toronto, Toronto, ON, Canada
Department of Physics, University of Toronto, Toronto, ON, Canada
NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
University of Science and Technology of China, Hefei, China
Department of Physics, University of Toronto, Toronto, ON, Canada
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, United States
California Institute of Technology, Jet Propulsion Laboratory, Pasadena, CA, United States

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