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

Related authors

Evaluating reanalysis representations of climatological trace gas distributions in the Asian monsoon tropopause layer

Jonathon S. Wright, Shenglong Zhang, Jiao Chen, Sean M. Davis, Paul Konopka, Mengqian Lu, Xiaolu Yan, and Guang J. Zhang

Atmos. Chem. Phys., 25, 9617–9643, https://doi.org/10.5194/acp-25-9617-2025,https://doi.org/10.5194/acp-25-9617-2025, 2025

Short summary

Global Climate Modeling with Improved Precipitation Characteristics by Learning Physics (GRIST-MPS v1.0) from Global Storm-Resolving Modeling

Yiming Wang, Yi Zhang, Yilun Han, Wei Xue, Yihui Zhou, Xiaohan Li, and Haishan Chen

EGUsphere, https://doi.org/10.5194/egusphere-2025-2790,https://doi.org/10.5194/egusphere-2025-2790, 2025

This preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Short summary

HOPE: An Arbitrary-Order Non-Oscillatory Finite-Volume Shallow Water Dynamical Core with Automatic Differentiation

Lilong Zhou and Wei Xue

EGUsphere, https://doi.org/10.5194/egusphere-2025-1889,https://doi.org/10.5194/egusphere-2025-1889, 2025

Short summary

Covariability of dynamics and composition in the Asian monsoon tropopause layer from satellite observations and reanalysis products

Shenglong Zhang, Jiao Chen, Jonathon S. Wright, Sean M. Davis, Jie Gao, Paul Konopka, Ninghui Li, Mengqian Lu, Susann Tegtmeier, Xiaolu Yan, Guang J. Zhang, and Nuanliang Zhu

EGUsphere, https://doi.org/10.5194/egusphere-2025-543,https://doi.org/10.5194/egusphere-2025-543, 2025

Short summary

Mixed-precision computing in the GRIST dynamical core for weather and climate modelling

Siyuan Chen, Yi Zhang, Yiming Wang, Zhuang Liu, Xiaohan Li, and Wei Xue

Geosci. Model Dev., 17, 6301–6318, https://doi.org/10.5194/gmd-17-6301-2024,https://doi.org/10.5194/gmd-17-6301-2024, 2024

Short summary

LB-SCAM: a learning-based method for efficient large-scale sensitivity analysis and tuning of the Single Column Atmosphere Model (SCAM)

Jiaxu Guo, Juepeng Zheng, Yidan Xu, Haohuan Fu, Wei Xue, Lanning Wang, Lin Gan, Ping Gao, Wubing Wan, Xianwei Wu, Zhitao Zhang, Liang Hu, Gaochao Xu, and Xilong Che

Geosci. Model Dev., 17, 3975–3992, https://doi.org/10.5194/gmd-17-3975-2024,https://doi.org/10.5194/gmd-17-3975-2024, 2024

Short summary

BCC-CSM2-HR: a high-resolution version of the Beijing Climate Center Climate System Model

Tongwen Wu, Rucong Yu, Yixiong Lu, Weihua Jie, Yongjie Fang, Jie Zhang, Li Zhang, Xiaoge Xin, Laurent Li, Zaizhi Wang, Yiming Liu, Fang Zhang, Fanghua Wu, Min Chu, Jianglong Li, Weiping Li, Yanwu Zhang, Xueli Shi, Wenyan Zhou, Junchen Yao, Xiangwen Liu, He Zhao, Jinghui Yan, Min Wei, Wei Xue, Anning Huang, Yaocun Zhang, Yu Zhang, Qi Shu, and Aixue Hu

Geosci. Model Dev., 14, 2977–3006, https://doi.org/10.5194/gmd-14-2977-2021,https://doi.org/10.5194/gmd-14-2977-2021, 2021

Short summary

Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform

Shaoqing Zhang, Haohuan Fu, Lixin Wu, Yuxuan Li, Hong Wang, Yunhui Zeng, Xiaohui Duan, Wubing Wan, Li Wang, Yuan Zhuang, Hongsong Meng, Kai Xu, Ping Xu, Lin Gan, Zhao Liu, Sihai Wu, Yuhu Chen, Haining Yu, Shupeng Shi, Lanning Wang, Shiming Xu, Wei Xue, Weiguo Liu, Qiang Guo, Jie Zhang, Guanghui Zhu, Yang Tu, Jim Edwards, Allison Baker, Jianlin Yong, Man Yuan, Yangyang Yu, Qiuying Zhang, Zedong Liu, Mingkui Li, Dongning Jia, Guangwen Yang, Zhiqiang Wei, Jingshan Pan, Ping Chang, Gokhan Danabasoglu, Stephen Yeager, Nan Rosenbloom, and Ying Guo

Geosci. Model Dev., 13, 4809–4829, https://doi.org/10.5194/gmd-13-4809-2020,https://doi.org/10.5194/gmd-13-4809-2020, 2020

Short summary

Cited articles

Bony, S., Stevens, B., Frierson, D. M. W., Jakob, C., Kageyama, M., Pincus, R., Shepherd, T. G., Sherwood, S. C., Siebesma, A. P., Sobel, A. H., Watanabe, M., and Webb, M. J.: Clouds, circulation and climate sensitivity, Nat. Geosci., 8, 261–268, https://doi.org/10.1038/ngeo2398, 2015.

Brenowitz, N. D. and Bretherton, C. S.: Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse-Graining, J. Adv. Model. Earth Syst., 11, 2728–2744, https://doi.org/10.1029/2019ms001711, 2019.

Brenowitz, N. D., Beucler, T., Pritchard, M., and Bretherton, C. S.: Interpreting and Stabilizing Machine-Learning Parametrizations of Convection, J. Atmos. Sci., 77, 4357–4375, https://doi.org/10.1175/jas-d-20-0082.1, 2020.

Bretherton, C. S., Blossey, P. N., and Stan, C.: Cloud feedbacks on greenhouse warming in the superparameterized climate model SP-CCSM4, J. Adv. Model. Earth Syst., 6, 1185–1204, https://doi.org/10.1002/2014MS000355, 2014.

Cao, G. and Zhang, G. J.: Role of Vertical Structure of Convective Heating in MJO Simulation in NCAR CAM5.3, J. Climate, 30, 7423–7439, https://doi.org/10.1175/jcli-d-16-0913.1, 2017.