Articles | Volume 19, issue 12
https://doi.org/10.5194/acp-19-8269-2019
© Author(s) 2019. 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-19-8269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jun 2019
Research article |
| 26 Jun 2019
| 26 Jun 2019
IAP-AACM v1.0: a global to regional evaluation of the atmospheric chemistry model in CAS-ESM
Ying Wei
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Xueshun Chen
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Huansheng Chen
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Jie Li
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Zifa Wang
CORRESPONDING AUTHOR
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Wenyi Yang
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Baozhu Ge
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Huiyun Du
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Jianqi Hao
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
now at: School of Civil and Environmental Engineering, Georgia
Institute of Technology, Atlanta, GA 30332, USA
Wei Wang
China National Environmental Monitoring Center, Beijing 100012, China
Jianjun Li
China National Environmental Monitoring Center, Beijing 100012, China
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Huili Huang
The State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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Cited
18 citations as recorded by crossref.
- Implementation of an Orographic Drag Scheme Considering Orographic Anisotropy in All Flow Directions in the Earth System Model CAS‐ESM 2.0 J. Xie et al. 10.1029/2021MS002585
- Influence of atmospheric in-cloud aqueous-phase chemistry on the global simulation of SO<sub>2</sub> in CESM2 W. Ge et al. 10.5194/acp-21-16093-2021
- Development of a city-level surface ozone forecasting system using deep learning techniques and air quality model: Application in eastern China Q. Li et al. 10.1016/j.atmosenv.2024.120865
- High-resolution modeling of the distribution of surface air pollutants and their intercontinental transport by a global tropospheric atmospheric chemistry source–receptor model (GNAQPMS-SM) Q. Ye et al. 10.5194/gmd-14-7573-2021
- Impact of sub-grid particle formation in sulfur-rich plumes on particle mass and number concentrations over China Y. Wei et al. 10.1016/j.atmosenv.2021.118711
- Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module X. Chen et al. 10.5194/acp-21-9343-2021
- Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. 10.1029/2020MS002210
- Chemical Weather and Chemical Climate G. Brasseur & R. Kumar 10.1029/2021AV000399
- Improvement and Uncertainties of Global Simulation of Sulfate Concentration and Radiative Forcing in CESM2 W. Ge et al. 10.1029/2022JD037623
- Uncertainties in the simulated intercontinental transport of air pollutants in the springtime from emission and meteorological inputs Q. Ye et al. 10.1016/j.atmosenv.2022.119431
- Severe Global Environmental Issues Caused by Canada’s Record-Breaking Wildfires in 2023 Z. Wang et al. 10.1007/s00376-023-3241-0
- Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East A. Kamal et al. 10.1016/j.atmosres.2024.107324
- Present-Day PM2.5 over Asia: Simulation and Uncertainty in CMIP6 ESMs X. Su et al. 10.1007/s13351-022-1202-7
- The source of Double ITCZ induced by the SST bias over the tropical western Pacific as reflected in CAS-ESM2 Model J. Tong et al. 10.1007/s11430-023-1304-5
- Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China J. Lu et al. 10.5194/acp-23-8021-2023
- Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization Y. Wei et al. 10.5194/gmd-14-4411-2021
- Impacts of reductions in non-methane short-lived climate forcers on future climate extremes and the resulting population exposure risks in eastern and southern Asia Y. Li et al. 10.5194/acp-23-2499-2023
- China’s EarthLab—Forefront of Earth System Simulation Research Z. Chai et al. 10.1007/s00376-021-1175-y
18 citations as recorded by crossref.
- Implementation of an Orographic Drag Scheme Considering Orographic Anisotropy in All Flow Directions in the Earth System Model CAS‐ESM 2.0 J. Xie et al. 10.1029/2021MS002585
- Influence of atmospheric in-cloud aqueous-phase chemistry on the global simulation of SO<sub>2</sub> in CESM2 W. Ge et al. 10.5194/acp-21-16093-2021
- Development of a city-level surface ozone forecasting system using deep learning techniques and air quality model: Application in eastern China Q. Li et al. 10.1016/j.atmosenv.2024.120865
- High-resolution modeling of the distribution of surface air pollutants and their intercontinental transport by a global tropospheric atmospheric chemistry source–receptor model (GNAQPMS-SM) Q. Ye et al. 10.5194/gmd-14-7573-2021
- Impact of sub-grid particle formation in sulfur-rich plumes on particle mass and number concentrations over China Y. Wei et al. 10.1016/j.atmosenv.2021.118711
- Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module X. Chen et al. 10.5194/acp-21-9343-2021
- Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. 10.1029/2020MS002210
- Chemical Weather and Chemical Climate G. Brasseur & R. Kumar 10.1029/2021AV000399
- Improvement and Uncertainties of Global Simulation of Sulfate Concentration and Radiative Forcing in CESM2 W. Ge et al. 10.1029/2022JD037623
- Uncertainties in the simulated intercontinental transport of air pollutants in the springtime from emission and meteorological inputs Q. Ye et al. 10.1016/j.atmosenv.2022.119431
- Severe Global Environmental Issues Caused by Canada’s Record-Breaking Wildfires in 2023 Z. Wang et al. 10.1007/s00376-023-3241-0
- Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East A. Kamal et al. 10.1016/j.atmosres.2024.107324
- Present-Day PM2.5 over Asia: Simulation and Uncertainty in CMIP6 ESMs X. Su et al. 10.1007/s13351-022-1202-7
- The source of Double ITCZ induced by the SST bias over the tropical western Pacific as reflected in CAS-ESM2 Model J. Tong et al. 10.1007/s11430-023-1304-5
- Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China J. Lu et al. 10.5194/acp-23-8021-2023
- Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization Y. Wei et al. 10.5194/gmd-14-4411-2021
- Impacts of reductions in non-methane short-lived climate forcers on future climate extremes and the resulting population exposure risks in eastern and southern Asia Y. Li et al. 10.5194/acp-23-2499-2023
- China’s EarthLab—Forefront of Earth System Simulation Research Z. Chai et al. 10.1007/s00376-021-1175-y
Latest update: 14 Dec 2024
Short summary
This study presents a full description and evaluation of a global–regional nested aerosol and atmospheric chemistry model (IAP-AACM). The simulation for 2014 is evaluated against model datasets and a range of observational datasets. The results show that IAP-AACM is within the range of other models, and reproduces both spatial and seasonal variation of trace gases and aerosols over most areas well. In future, we recommend improving the model's ability to capture high spatial variation of PM2.5.
This study presents a full description and evaluation of a global–regional nested aerosol and...
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