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
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Cited
15 citations as recorded by crossref.
- The Role of In‐Cloud Wet Removal in Simulating Aerosol Vertical Profiles and Cloud Radiative Forcing Y. Shan et al. 10.1029/2023JD038564
- Variability in morphology of soot particles during non-cloud and in-cloud processes Y. Wang et al. 10.1016/j.atmosenv.2024.120489
- Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects S. Zhang et al. 10.5194/gmd-15-6787-2022
- Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. 10.5194/acp-23-13523-2023
- Assessing the sensitivity of aerosol mass budget and effective radiative forcing to horizontal grid spacing in E3SMv1 using a regional refinement approach J. Li et al. 10.5194/gmd-17-1327-2024
- The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation J. Golaz et al. 10.1029/2022MS003156
- Ensemble Spread Behavior in Coupled Climate Models: Insights From the Energy Exascale Earth System Model Version 1 Large Ensemble S. Stevenson et al. 10.1029/2023MS003653
- Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas 10.1038/s41558-023-01775-5
- The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results Q. Tang et al. 10.5194/gmd-16-3953-2023
- Characteristics of Absorbing Aerosols in Mexico City: A Study of Morphology and Columnar Microphysical Properties G. Carabali et al. 10.3390/atmos15010108
- Larger Cloud Liquid Water Enhances Both Aerosol Indirect Forcing and Cloud Radiative Feedback in Two Earth System Models X. Zhao et al. 10.1029/2023GL105529
- Incorporating an Interactive Fire Plume‐Rise Model in the DOE's Energy Exascale Earth System Model Version 1 (E3SMv1) and Examining Aerosol Radiative Effect Z. Lu et al. 10.1029/2023MS003818
- Evaluating EAMv2 Simulated High Latitude Clouds Using ARM Measurements in the Northern and Southern Hemispheres M. Zhang et al. 10.1029/2022JD038364
- The Contribution of Climate Change to Increasing Extreme Ocean Warming Around Japan M. Hayashi et al. 10.1029/2022GL100785
- Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations H. Bian et al. 10.5194/acp-24-1717-2024
15 citations as recorded by crossref.
- The Role of In‐Cloud Wet Removal in Simulating Aerosol Vertical Profiles and Cloud Radiative Forcing Y. Shan et al. 10.1029/2023JD038564
- Variability in morphology of soot particles during non-cloud and in-cloud processes Y. Wang et al. 10.1016/j.atmosenv.2024.120489
- Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects S. Zhang et al. 10.5194/gmd-15-6787-2022
- Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. 10.5194/acp-23-13523-2023
- Assessing the sensitivity of aerosol mass budget and effective radiative forcing to horizontal grid spacing in E3SMv1 using a regional refinement approach J. Li et al. 10.5194/gmd-17-1327-2024
- The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation J. Golaz et al. 10.1029/2022MS003156
- Ensemble Spread Behavior in Coupled Climate Models: Insights From the Energy Exascale Earth System Model Version 1 Large Ensemble S. Stevenson et al. 10.1029/2023MS003653
- Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas 10.1038/s41558-023-01775-5
- The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results Q. Tang et al. 10.5194/gmd-16-3953-2023
- Characteristics of Absorbing Aerosols in Mexico City: A Study of Morphology and Columnar Microphysical Properties G. Carabali et al. 10.3390/atmos15010108
- Larger Cloud Liquid Water Enhances Both Aerosol Indirect Forcing and Cloud Radiative Feedback in Two Earth System Models X. Zhao et al. 10.1029/2023GL105529
- Incorporating an Interactive Fire Plume‐Rise Model in the DOE's Energy Exascale Earth System Model Version 1 (E3SMv1) and Examining Aerosol Radiative Effect Z. Lu et al. 10.1029/2023MS003818
- Evaluating EAMv2 Simulated High Latitude Clouds Using ARM Measurements in the Northern and Southern Hemispheres M. Zhang et al. 10.1029/2022JD038364
- The Contribution of Climate Change to Increasing Extreme Ocean Warming Around Japan M. Hayashi et al. 10.1029/2022GL100785
- Observationally constrained analysis of sulfur cycle in the marine atmosphere with NASA ATom measurements and AeroCom model simulations H. Bian et al. 10.5194/acp-24-1717-2024
Latest update: 19 Apr 2024
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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