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DOI10.5194/acp-19-11911-2019
MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia
Chen L.; Gao Y.; Zhang M.; Fu J.S.; Zhu J.; Liao H.; Li J.; Huang K.; Ge B.; Wang X.; Lam Y.F.; Lin C.-Y.; Itahashi S.; Nagashima T.; Kajino M.; Yamaji K.; Wang Z.; Kurokawa J.-I.
发表日期2019
ISSN16807316
起始页码11911
结束页码11937
卷号19期号:18
英文摘要A total of 14 chemical transport models (CTMs) participated in the first topic of the Model Inter-Comparison Study for Asia (MICS-Asia) phase III. These model results are compared with each other and an extensive set of measurements, aiming to evaluate the current CTMs' ability in simulating aerosol concentrations, to document the similarities and differences among model performance, and to reveal the characteristics of aerosol components in large cities over East Asia. In general, these CTMs can well reproduce the spatial-temporal distributions of aerosols in East Asia during the year 2010. The multi-model ensemble mean (MMEM) shows better performance than most single-model predictions, with correlation coefficients (between MMEM and measurements) ranging from 0.65 (nitrate, NO- 3 ) to 0.83 (PM2:5). The concentrations of black carbon (BC), sulfate (SO2- 4 ), and PM10 are underestimated by MMEM, with normalized mean biases (NMBs) of -17:0 %, -19.1 %, and -32.6 %, respectively. Positive biases are simulated for NO- 3 (NMBD4.9 %), ammonium (NHC 4 ) (NMBD14.0 %), and PM2:5 (NMBD4.4 %). In comparison with the statistics calculated from MICS-Asia phase II, frequent updates of chemical mechanisms in CTMs during recent years make the intermodel variability of simulated aerosol concentrations smaller, and better performance can be found in reproducing the temporal variations of observations. However, a large variation (about a factor of 2) in the ratios of SNA (sulfate, nitrate, and ammonium) to PM2:5 is calculated among participant models. A more intense secondary formation of SO2- 4 is simulated by Community Multi-scale Air Quality (CMAQ) models, because of the higher SOR (sulfur oxidation ratio) than other models (0.51 versus 0.39). The NOR (nitric oxidation ratio) calculated by all CTMs has larger values (0:20) than the observations, indicating that overmuch NO- 3 is simulated by current models. NH3-limited condition (the mole ratio of ammonium to sulfate and nitrate is smaller than 1) can be successfully reproduced by all participant models, which indicates that a small reduction in ammonia may improve the air quality. A large coefficient of variation (CV > 1.0) is calculated for simulated coarse particles, especially over arid and semi-arid regions, which means that current CTMs have difficulty producing similar dust emissions by using different dust schemes. According to the simulation results of MMEM in six large Asian cities, different air-pollution control plans should be taken due to their different major air pollutants in different seasons. The MICSAsia project gives an opportunity to discuss the similarities and differences of simulation results among CTMs in East Asian applications. In order to acquire a better understanding of aerosol properties and their impacts, more experiments should be designed to reduce the diversities among air quality models. © Author(s) 2019.
语种英语
scopus关键词aerosol; air quality; atmospheric pollution; black carbon; comparative study; concentration (composition); modeling; particulate matter; spatial distribution; temporal distribution; Far East
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/144136
作者单位State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China; University of Chinese Academy of Sciences, Beijing, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, United States; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China; Research Institute of Climatic and Environmental Governance, Nanjing University of Information Science and Technology, Nanjing, China; Institute for Environment and Climate Research...
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GB/T 7714
Chen L.,Gao Y.,Zhang M.,et al. MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia[J],2019,19(18).
APA Chen L..,Gao Y..,Zhang M..,Fu J.S..,Zhu J..,...&Kurokawa J.-I..(2019).MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia.Atmospheric Chemistry and Physics,19(18).
MLA Chen L.,et al."MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia".Atmospheric Chemistry and Physics 19.18(2019).
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