Articles | Volume 18, issue 2
https://doi.org/10.5194/acp-18-1395-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-18-1395-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Feb 2018
Research article |
| 01 Feb 2018
Emission or atmospheric processes? An attempt to attribute the source of large bias of aerosols in eastern China simulated by global climate models
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Xiaohong Liu
CORRESPONDING AUTHOR
Department of Atmospheric Science, University of Wyoming, Laramie,
Wyoming, USA
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Po-Lun Ma
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington, USA
Qiang Zhang
Center for Earth System Science, Tsinghua University, Beijing, China
Zhanqing Li
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Department of Atmospheric and Oceanic Science & ESSIC, University
of Maryland, College Park, Maryland, USA
Yiquan Jiang
Institute for Climate and Global Change Research, School of
Atmospheric Sciences, Nanjing University, Nanjing, China
Fang Zhang
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Chuanfeng Zhao
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Fang Wu
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
Yuying Wang
College of Global Change and Earth System Science, State Key
Laboratory of Earth Surface Processes and Resource Ecology, and Joint Center
for Global Change and Green China Development, Beijing Normal University,
Beijing, China
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- Fast Climate Responses to Aerosol Emission Reductions During the COVID‐19 Pandemic Y. Yang et al. 10.1029/2020GL089788
- Fast climate responses to emission reductions in aerosol and ozone precursors in China during 2013–2017 J. Gao et al. 10.5194/acp-22-7131-2022
- Quantifying snow darkening and atmospheric radiative effects of black carbon and dust on the South Asian monsoon and hydrological cycle: experiments using variable-resolution CESM S. Rahimi et al. 10.5194/acp-19-12025-2019
- Climate responses in China to domestic and foreign aerosol changes due to clean air actions during 2013–2019 J. Gao et al. 10.1038/s41612-023-00488-y
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- How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Ångström exponent J. Jin et al. 10.5194/acp-23-1641-2023
- Comparison and evaluation of the simulated annual aerosol characteristics over China with two global aerosol models Y. Cheng et al. 10.1016/j.scitotenv.2020.143003
- Distinct responses of Asian summer monsoon to black carbon aerosols and greenhouse gases X. Xie et al. 10.5194/acp-20-11823-2020
- Source attribution of near-surface ozone trends in the United States during 1995–2019 P. Li et al. 10.5194/acp-23-5403-2023
- Constraining Aging Processes of Black Carbon in the Community Atmosphere Model Using Environmental Chamber Measurements Y. Wang et al. 10.1029/2018MS001387
- Introductory lecture: air quality in megacities L. Molina 10.1039/D0FD00123F
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Latest update: 09 Dec 2023
Short summary
We found that 22–28 % of the low AOD bias in eastern China simulated by the Community Atmosphere Model version 5 can be improved by using a new emission inventory. The concentrations of primary aerosols are closely related to the emission, while the seasonal variations of secondary aerosols depend more on atmospheric processes. This study highlights the importance of improving both the emission and atmospheric processes in modeling the atmospheric aerosols and their radiative effects.
We found that 22–28 % of the low AOD bias in eastern China simulated by the Community Atmosphere...
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