Stable climate simulations using a realistic general circulation model with neural network parameterizations for atmospheric moist physics and radiation processes

Wang, Xin; Han, Yilun; Xue, Wei; Yang, Guangwen; Zhang, Guang J.

doi:https://doi.org/10.5194/gmd-15-3923-2022

Articles | Volume 15, issue 9

https://doi.org/10.5194/gmd-15-3923-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-3923-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 9

Development and technical paper

|

16 May 2022

Development and technical paper |

| 16 May 2022

Stable climate simulations using a realistic general circulation model with neural network parameterizations for atmospheric moist physics and radiation processes

Xin Wang, Yilun Han, Wei Xue, Guangwen Yang, and Guang J. Zhang

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