EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Comparison of the Anthropogenic Emission Inventory for CMIP6 Models with a Country-Level Inventory over China and the Simulations of the Aerosol Properties

Tianyi Fan1, Xiaohong Liu2, Chenglai Wu3, Qiang Zhang4, Chuanfeng Zhao1, Xin Yang1, and Yanglian Li1
Tianyi Fan et al.
  • 1College of Global Change and Earth System Science, Beijing Normal University No.19 Xinjiekouwai St, Haidian District Beijing, 100875, China
  • 2Department of Atmospheric Sciences, Texas A&M University, 3150, TAMU College Station, TX,77843-3150, USA
  • 3Institute of Atmospheric Physics No. 40 Huayanli, Beichen West Road, Chaoyang District, P. O. Box 9804, Beijing 100029, China
  • 4Institute for Global Change Studies, Department of Earth System Science, Tsinghua University Room 801, Mengminwei Science Building,Tsinghua University, Haidian District, Beijing, 100084, China

Anthropogenic emission inventory for aerosols and reactive gases is crucial to the estimation of aerosol radiative
forcing and climate effects. Here, the anthropogenic emission inventory for AerChemMIP, endorsed by CMIP6, is briefly
introduced. The CMIP6 inventory is compared with a country-level inventory (i.e., MEIC) over China from 1986 to 2015.
Discrepancies are found in the yearly trends of the two inventories, especially after 2006. The yearly trends of the aerosol
burdens simulated by CESM2 using the two inventories follow their emission trends and deviate after the mid-2000s, while
the simulated aerosol optical depths (AODs) show similar trends. The difference between the simulated AODs is much
smaller than the difference between model and observation. Although the simulated AODs agree with the MODIS satellite
retrievals for country-wide average, the good agreement is an offset between the underestimation in eastern China and the
overestimation in western China. Low-biased precursor gas of SO2, overly strong convergence of the wind field, overly
strong dilution and transport by summer monsoon circulation, too much wet scavenging by precipitation, and overly weak
aerosol swelling due to low-biased relative humidity are suggested to be responsible for the underestimated AOD in eastern
China. This indicates that the influence of the emission inventory uncertainties on simulated aerosol properties can be
overwhelmed by model biases of meteorology and aerosol processes. It is necessary for climate models to perform
reasonably well in the dynamical, physical, and chemical processes that would influence aerosol simulations.

How to cite: Fan, T., Liu, X., Wu, C., Zhang, Q., Zhao, C., Yang, X., and Li, Y.: Comparison of the Anthropogenic Emission Inventory for CMIP6 Models with a Country-Level Inventory over China and the Simulations of the Aerosol Properties, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11195,, 2022.