Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-19-11911-2019 |
MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia | |
Chen, Lei1,2,6; Gao, Yi1; Zhang, Meigen1,3,4; Fu, Joshua S.5; Zhu, Jia2,6,7; Liao, Hong2,6; Li, Jialin1; Huang, Kan5; Ge, Baozhu1; Wang, Xuemei8; Lam, Yun Fat9; Lin, Chuan-Yao10; Itahashi, Syuichi11,12; Nagashima, Tatsuya13; Kajino, Mizuo14,15; Yamaji, Kazuyo16; Wang, Zifa13; Kurokawa, Jun-ichi17 | |
2019-09-25 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2019 |
卷号 | 19期号:18页码:11911-11937 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA; Taiwan; Japan |
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 repro-duce 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, NO3-) to 0.83 (PM2.5). The concentrations of black carbon (BC), sulfate (SO42-), 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 NO3- (NMB = 4.9 %), ammonium (NH4+) (NMB = 14.0 %), and PM2.5 (NMB = 4.4 %). 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 SO42- 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 (similar to 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 MICS-Asia 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. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000488022200001 |
WOS关键词 | BOUNDARY-LAYER METEOROLOGY ; LONG-RANGE TRANSPORT ; SECONDARY INORGANIC AEROSOLS ; DUST EMISSION SCHEME ; REGIONAL AIR-QUALITY ; SEA-SALT EMISSIONS ; NORTH CHINA PLAIN ; HAZE POLLUTION ; MODELING SYSTEM ; BLACK CARBON |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/187138 |
专题 | 地球科学 |
作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing, Peoples R China; 2.Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, Nanjing, Jiangsu, Peoples R China; 3.Univ Chinese Acad Sci, Beijing, Peoples R China; 4.Chinese Acad Sci, Inst Urban Environm, Ctr Excellence Reg Atmospher Environm, Xiamen, Fujian, Peoples R China; 5.Univ Tennessee, Dept Civil & Environm Engn, Knoxville, TN USA; 6.Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing, Jiangsu, Peoples R China; 7.Nanjing Univ Informat Sci & Technol, Res Inst Climat & Environm Governance, Nanjing, Jiangsu, Peoples R China; 8.Jinan Univ, Inst Environm & Climate Res, Guangzhou, Guangdong, Peoples R China; 9.City Univ Hong Kong, Sch Energy & Environm, Hong Kong, Peoples R China; 10.Acad Sinica, Res Ctr Environm Changes, Taipei, Taiwan; 11.Cent Res Inst Elect Power Ind, Abiko, Chiba, Japan; 12.North Carolina State Univ, Dept Marine Earth & Atmospher Sci, Box 8208, Raleigh, NC 27695 USA; 13.Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan; 14.Japan Meteorol Agcy, Meteorol Res Inst, Tsukuba, Ibaraki, Japan; 15.Univ Tsukuba, Fac Life & Environm Sci, Tsukuba, Ibaraki, Japan; 16.Kobe Univ, Grad Sch Maritime Sci, Kobe, Hyogo, Japan; 17.Asia Ctr Air Pollut Res, Nishi Ku, 1182 Sowa, Niigata, Niigata, Japan |
推荐引用方式 GB/T 7714 | Chen, Lei,Gao, Yi,Zhang, Meigen,et al. MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2019,19(18):11911-11937. |
APA | Chen, Lei.,Gao, Yi.,Zhang, Meigen.,Fu, Joshua S..,Zhu, Jia.,...&Kurokawa, Jun-ichi.(2019).MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(18),11911-11937. |
MLA | Chen, Lei,et al."MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia".ATMOSPHERIC CHEMISTRY AND PHYSICS 19.18(2019):11911-11937. |
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