气候变化领域集成服务门户(CCPortal): IAP-AACM v1.0: A global to regional evaluation of the atmospheric chemistry model in CAS-ESM

CCPortal

DOI	10.5194/acp-19-8269-2019
	IAP-AACM v1.0: A global to regional evaluation of the atmospheric chemistry model in CAS-ESM
	Wei Y.; Chen X.; Chen H.; Li J.; Wang Z.; Yang W.; Ge B.; Du H.; Hao J.; Wang W.; Li J.; Sun Y.; Huang H.
发表日期	2019
ISSN	16807316
起始页码	8269
结束页码	8296
卷号	19 期号:12
英文摘要	In this study, a full description and comprehensive evaluation of a global-regional nested model, the Aerosol and Atmospheric Chemistry Model of the Institute of Atmospheric Physics (IAP-AACM), is presented for the first time. Not only are the global budgets and distribution explored, but comparisons of the nested simulation over China against multiple datasets are investigated, which benefit from access to Chinese air quality monitoring data from 2013 to the present and the "Model Inter-Comparison Study for Asia" project. The model results and analysis can help reduce uncertainties and aid with understanding model diversity with respect to assessing global and regional aerosol effects on climate and human health, especially over East Asia and areas affected by East Asia. For the global simulation, the 1-year simulation for 2014 shows that the IAP-AACM is within the range of other models. Overall, it reasonably reproduced spatial distributions and seasonal variations of trace gases and aerosols in both surface concentrations and column burdens (mostly within a factor of 2). The model captured spatial variation for carbon monoxide well with a slight underestimation over ocean, which implicates the uncertainty of the ocean source. The simulation also matched the seasonal cycle of ozone well except for the continents in the Northern Hemisphere, which was partly due to the lack of stratospheric- tropospheric exchange. For aerosols, the simulation of finemode particulate matter (PM2:5) matched observations well. The simulation of primary aerosols (normalized mean biases, NMBs, are within ±0:64) is better than that of secondary aerosols (NMB values are greater than 1.0 in some regions). For the nested regional simulation, the IAP-AACM shows the superiority of higher-resolution simulation using the nested domain over East Asia. The model reproduced variation of sulfur dioxide (SO2), nitrogen dioxide (NO2), and PM2:5 accurately in typical cities, with correlation coefficients (R) above 0.5 and NMBs within ∼0:5. Compared with the global simulation, the nested simulation exhibits an improved ability to capture the high temporal and spatial variability over China. In particular, the R values for SO2, NO2 and PM2:5 are increased by ∼ 0:15, ∼ 0:2, and ∼ 0:25 respectively in the nested grid. Based on the evaluation and analysis, future model improvements are suggested. © Author(s) 2019.
语种	英语
scopus关键词	aerosol; air quality; atmospheric chemistry; atmospheric modeling; particulate matter; spatial variation; temporal variation; China
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144323
作者单位	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; China National Environmental Monitoring Center, Beijing, 100012, China; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States
推荐引用方式 GB/T 7714	Wei Y.,Chen X.,Chen H.,et al. IAP-AACM v1.0: A global to regional evaluation of the atmospheric chemistry model in CAS-ESM[J],2019,19(12).
APA	Wei Y..,Chen X..,Chen H..,Li J..,Wang Z..,...&Huang H..(2019).IAP-AACM v1.0: A global to regional evaluation of the atmospheric chemistry model in CAS-ESM.Atmospheric Chemistry and Physics,19(12).
MLA	Wei Y.,et al."IAP-AACM v1.0: A global to regional evaluation of the atmospheric chemistry model in CAS-ESM".Atmospheric Chemistry and Physics 19.12(2019).