Articles | Volume 15, issue 7
https://doi.org/10.5194/gmd-15-2881-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-2881-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
07 Apr 2022
Development and technical paper |
| 07 Apr 2022
| 07 Apr 2022
Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1
Pacific Northwest National Laboratory, Richland, Washington, USA
Bryce E. Harrop
Pacific Northwest National Laboratory, Richland, Washington, USA
Vincent E. Larson
Department of Mathematical Sciences, University of
Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
Pacific Northwest National Laboratory, Richland, Washington, USA
Richard B. Neale
National Center for Atmospheric Research, Boulder, Colorado, USA
Andrew Gettelman
National Center for Atmospheric Research, Boulder, Colorado, USA
Hugh Morrison
National Center for Atmospheric Research, Boulder, Colorado, USA
Hailong Wang
Pacific Northwest National Laboratory, Richland, Washington, USA
Kai Zhang
Pacific Northwest National Laboratory, Richland, Washington, USA
Stephen A. Klein
Lawrence Livermore National Laboratory, Livermore, California, USA
Mark D. Zelinka
Lawrence Livermore National Laboratory, Livermore, California, USA
Yuying Zhang
Lawrence Livermore National Laboratory, Livermore, California, USA
Yun Qian
Pacific Northwest National Laboratory, Richland, Washington, USA
Jin-Ho Yoon
School of Earth Sciences and Environmental Engineering, Gwangju
Institute of Science and Technology, Gwangju, South Korea
Christopher R. Jones
Pacific Northwest National Laboratory, Richland, Washington, USA
Meng Huang
Pacific Northwest National Laboratory, Richland, Washington, USA
Sheng-Lun Tai
Pacific Northwest National Laboratory, Richland, Washington, USA
Balwinder Singh
Pacific Northwest National Laboratory, Richland, Washington, USA
Peter A. Bogenschutz
Lawrence Livermore National Laboratory, Livermore, California, USA
Xue Zheng
Lawrence Livermore National Laboratory, Livermore, California, USA
Wuyin Lin
Brookhaven National Laboratory, Upton, New York, USA
Johannes Quaas
Institute for Meteorology, Universität Leipzig, Leipzig, Germany
Hélène Chepfer
LMD/IPSL, Sorbonne Université, École Polytechnique, CNRS, Paris,
France
Michael A. Brunke
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, Arizona, USA
Xubin Zeng
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, Arizona, USA
Johannes Mülmenstädt
Pacific Northwest National Laboratory, Richland, Washington, USA
Samson Hagos
Pacific Northwest National Laboratory, Richland, Washington, USA
Zhibo Zhang
Department of Physics, University of Maryland, Baltimore County,
Baltimore, Maryland, USA
Science Systems and Applications, Inc., Lanham, Maryland, USA
Xiaohong Liu
Department of Atmospheric Sciences, Texas A&M University, College
Station, Texas, USA
Michael S. Pritchard
Department of Earth System Science, University of California, Irvine,
California, USA
Pacific Northwest National Laboratory, Richland, Washington, USA
Jingyu Wang
Department of Humanities and Social Studies Education, National Institute of Education, Nanyang Technological University, Singapore, Singapore
Lawrence Livermore National Laboratory, Livermore, California, USA
Peter M. Caldwell
Lawrence Livermore National Laboratory, Livermore, California, USA
Jiwen Fan
Pacific Northwest National Laboratory, Richland, Washington, USA
Larry K. Berg
Pacific Northwest National Laboratory, Richland, Washington, USA
Jerome D. Fast
Pacific Northwest National Laboratory, Richland, Washington, USA
Mark A. Taylor
Sandia National Laboratory, Albuquerque, New Mexico, USA
Jean-Christophe Golaz
Lawrence Livermore National Laboratory, Livermore, California, USA
Shaocheng Xie
Lawrence Livermore National Laboratory, Livermore, California, USA
Philip J. Rasch
Pacific Northwest National Laboratory, Richland, Washington, USA
L. Ruby Leung
Pacific Northwest National Laboratory, Richland, Washington, USA
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Latest update: 25 Nov 2025
Short summary
An alternative set of parameters for E3SM Atmospheric Model version 1 has been developed based on a tuning strategy that focuses on clouds. When clouds in every regime are improved, other aspects of the model are also improved, even though they are not the direct targets for calibration. The recalibrated model shows a lower sensitivity to anthropogenic aerosols and surface warming, suggesting potential improvements to the simulated climate in the past and future.
An alternative set of parameters for E3SM Atmospheric Model version 1 has been developed based...
