Articles | Volume 13, issue 1
https://doi.org/10.5194/gmd-13-41-2020
https://doi.org/10.5194/gmd-13-41-2020
Development and technical paper
 | 
03 Jan 2020
Development and technical paper |  | 03 Jan 2020

An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3)

Li Wu, Tao Zhang, Yi Qin, and Wei Xue

Related authors

Understanding changes in cloud simulations from E3SM version 1 to version 2
Yuying Zhang, Shaocheng Xie, Yi Qin, Wuyin Lin, Jean-Christophe Golaz, Xue Zheng, Po-Lun Ma, Yun Qian, Qi Tang, Christopher R. Terai, and Meng Zhang
Geosci. Model Dev., 17, 169–189, https://doi.org/10.5194/gmd-17-169-2024,https://doi.org/10.5194/gmd-17-169-2024, 2024
Short summary
Comparison of methods to estimate aerosol effective radiative forcings in climate models
Mark D. Zelinka, Christopher J. Smith, Yi Qin, and Karl E. Taylor
Atmos. Chem. Phys., 23, 8879–8898, https://doi.org/10.5194/acp-23-8879-2023,https://doi.org/10.5194/acp-23-8879-2023, 2023
Short summary
The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results
Qi Tang, Jean-Christophe Golaz, Luke P. Van Roekel, Mark A. Taylor, Wuyin Lin, Benjamin R. Hillman, Paul A. Ullrich, Andrew M. Bradley, Oksana Guba, Jonathan D. Wolfe, Tian Zhou, Kai Zhang, Xue Zheng, Yunyan Zhang, Meng Zhang, Mingxuan Wu, Hailong Wang, Cheng Tao, Balwinder Singh, Alan M. Rhoades, Yi Qin, Hong-Yi Li, Yan Feng, Yuying Zhang, Chengzhu Zhang, Charles S. Zender, Shaocheng Xie, Erika L. Roesler, Andrew F. Roberts, Azamat Mametjanov, Mathew E. Maltrud, Noel D. Keen, Robert L. Jacob, Christiane Jablonowski, Owen K. Hughes, Ryan M. Forsyth, Alan V. Di Vittorio, Peter M. Caldwell, Gautam Bisht, Renata B. McCoy, L. Ruby Leung, and David C. Bader
Geosci. Model Dev., 16, 3953–3995, https://doi.org/10.5194/gmd-16-3953-2023,https://doi.org/10.5194/gmd-16-3953-2023, 2023
Short summary
A learning-based method for efficient large-scale sensitivity analysis and tuning of single column atmosphere model (SCAM)
Jiaxu Guo, Yidan Xu, Haohuan Fu, Wei Xue, Lanning Wang, Lin Gan, Xianwei Wu, Liang Hu, Gaochao Xu, and Xilong Che
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-264,https://doi.org/10.5194/gmd-2022-264, 2022
Revised manuscript under review for GMD
Short summary
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
Geosci. Model Dev., 15, 3923–3940, https://doi.org/10.5194/gmd-15-3923-2022,https://doi.org/10.5194/gmd-15-3923-2022, 2022
Short summary

Related subject area

Atmospheric sciences
GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system
Dongqi Lin, Jiawei Zhang, Basit Khan, Marwan Katurji, and Laura E. Revell
Geosci. Model Dev., 17, 815–845, https://doi.org/10.5194/gmd-17-815-2024,https://doi.org/10.5194/gmd-17-815-2024, 2024
Short summary
Modeling collision–coalescence in particle microphysics: numerical convergence of mean and variance of precipitation in cloud simulations using the University of Warsaw Lagrangian Cloud Model (UWLCM) 2.1
Piotr Zmijewski, Piotr Dziekan, and Hanna Pawlowska
Geosci. Model Dev., 17, 759–780, https://doi.org/10.5194/gmd-17-759-2024,https://doi.org/10.5194/gmd-17-759-2024, 2024
Short summary
Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1
Roya Ghahreman, Wanmin Gong, Paul A. Makar, Alexandru Lupu, Amanda Cole, Kulbir Banwait, Colin Lee, and Ayodeji Akingunola
Geosci. Model Dev., 17, 685–707, https://doi.org/10.5194/gmd-17-685-2024,https://doi.org/10.5194/gmd-17-685-2024, 2024
Short summary
Impacts of a double-moment bulk cloud microphysics scheme (NDW6-G23) on aerosol fields in NICAM.19 with a global 14 km grid resolution
Daisuke Goto, Tatsuya Seiki, Kentaroh Suzuki, Hisashi Yashiro, and Toshihiko Takemura
Geosci. Model Dev., 17, 651–684, https://doi.org/10.5194/gmd-17-651-2024,https://doi.org/10.5194/gmd-17-651-2024, 2024
Short summary
Sensitivity of air quality model responses to emission changes: comparison of results based on four EU inventories through FAIRMODE benchmarking methodology
Alexander de Meij, Cornelis Cuvelier, Philippe Thunis, Enrico Pisoni, and Bertrand Bessagnet
Geosci. Model Dev., 17, 587–606, https://doi.org/10.5194/gmd-17-587-2024,https://doi.org/10.5194/gmd-17-587-2024, 2024
Short summary

Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P. P., Janowiak, J., and Gruber, A.: The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present), J. Hydrol., 4, 1147–1167, 2003. 
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, 2015. 
Cameron, D., Beven, K. J., Tawn, J., Blazkova, S., and Naden, P.: Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty), J. Hydrol., 219, 169–187, 1999. 
Cheng, G. H., Gjernes, T., and Wang, G. G.: An Adaptive Aggregation-Based Approach for Expensively Constrained Black-Box Optimization Problems, J. Mech. Design., 140, 091402, https://doi.org/10.1115/1.4040485, 2018. 
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., and Bechtold, P.: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, 2011. 
Download
Short summary
Uncertain parameters in physical parameterizations of general circulation models (GCMs) greatly impact model performance. In this study, an automated and efficient parameter optimization with the radiation balance constraint is presented and applied in the Community Atmospheric Model. Results show that the synthesized performance under the optimal parameters is 6.3 % better than the control run and the radiation imbalance is as low as 0.1 W m2.