Articles | Volume 22, issue 13
https://doi.org/10.5194/acp-22-9129-2022
© 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/acp-22-9129-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jul 2022
Research article |
| 14 Jul 2022
| 14 Jul 2022
Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities
Pacific Northwest National Laboratory, Richland, WA, USA
Wentao Zhang
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Pacific Northwest National Laboratory, Richland, WA, USA
Pacific Northwest National Laboratory, Richland, WA, USA
Philip J. Rasch
Pacific Northwest National Laboratory, Richland, WA, USA
Steven J. Ghan
Pacific Northwest National Laboratory, Richland, WA, USA
Richard C. Easter
Pacific Northwest National Laboratory, Richland, WA, USA
Xiangjun Shi
School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Yong Wang
Ministry of Education Key Laboratory for Earth System Modeling and Department of Earth System Science, Tsinghua University, Beijing, China
Hailong Wang
Pacific Northwest National Laboratory, Richland, WA, USA
Po-Lun Ma
Pacific Northwest National Laboratory, Richland, WA, USA
Shixuan Zhang
Pacific Northwest National Laboratory, Richland, WA, USA
Jian Sun
Pacific Northwest National Laboratory, Richland, WA, USA
now at: National Center for Atmospheric Research, Boulder, Colorado, USA
Susannah M. Burrows
Pacific Northwest National Laboratory, Richland, WA, USA
Manish Shrivastava
Pacific Northwest National Laboratory, Richland, WA, USA
Balwinder Singh
Pacific Northwest National Laboratory, Richland, WA, USA
Yun Qian
Pacific Northwest National Laboratory, Richland, WA, USA
Xiaohong Liu
Department of Atmospheric Sciences, Texas A&M University, College Station, Texas, USA
Jean-Christophe Golaz
Lawrence Livermore National Laboratory, Livermore, CA, USA
Lawrence Livermore National Laboratory, Livermore, CA, USA
Xue Zheng
Lawrence Livermore National Laboratory, Livermore, CA, USA
Shaocheng Xie
Lawrence Livermore National Laboratory, Livermore, CA, USA
Wuyin Lin
Brookhaven National Laboratory, Upton, NY, USA
Argonne National Laboratory, Lemont, IL, USA
Minghuai Wang
Nanjing University, Nanjing, China
Jin-Ho Yoon
Gwangju Institute of Science and Technology, Gwangju, South Korea
L. Ruby Leung
Pacific Northwest National Laboratory, Richland, WA, USA
Data sets
Data to reproduce the tables and figures presented in this study Kai Zhang https://doi.org/10.5281/zenodo.5792600
Model code and software
Source code used in Effective radiative forcing of anthropogenic aerosols in E3SMv1 E3SM developers https://doi.org/10.5281/zenodo.5794575
Short summary
Here we analyze the effective aerosol forcing simulated by E3SM version 1 using both century-long free-running and short nudged simulations. The aerosol forcing in E3SMv1 is relatively large compared to other models, mainly due to the large indirect aerosol effect. Aerosol-induced changes in liquid and ice cloud properties in E3SMv1 have a strong correlation. The aerosol forcing estimates in E3SMv1 are sensitive to the parameterization changes in both liquid and ice cloud processes.
Here we analyze the effective aerosol forcing simulated by E3SM version 1 using both...
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