DOI: 10.1016/j.atmosenv.2017.06.029
Scopus记录号: 2-s2.0-85021738137
论文题名: Multi-year application of WRF-CAM5 over East Asia-Part II: Interannual variability, trend analysis, and aerosol indirect effects
作者: Zhang Y ; , Wang K ; , He J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 165 起始页码: 222
结束页码: 239
语种: 英语
英文关键词: Aerosol direct effects
; Aerosol indirect effects
; East Asia
; Interannual variability
; Long-term variation trends
; WRF-CAM5
Scopus关键词: Aerosols
; Atmospheric aerosols
; Carbon
; Carbon monoxide
; Indicators (chemical)
; Nitrogen compounds
; Nitrogen oxides
; Sulfur dioxide
; Volatile organic compounds
; Aerosol indirect effect
; East Asia
; Interannual variability
; Long-term variation trends
; WRF-CAM5
; Radiation effects
; ammonia
; ammonium bisulfate
; carbon monoxide
; formaldehyde
; nitrate
; nitrogen dioxide
; nitrogen oxide
; organic carbon
; oxide
; ozone
; sulfate
; sulfur dioxide
; unclassified drug
; volatile organic compound
; aerosol
; aerosol composition
; ammonia
; annual variation
; anthropogenic source
; atmospheric modeling
; concentration (composition)
; emission
; environmental effect
; meteorology
; nitrate
; nitrogen dioxide
; optical depth
; ozone
; particulate matter
; trend analysis
; volatile organic compound
; aerosol
; air pollution control
; Article
; Asia
; chemical analysis
; climate change
; clinical evaluation
; cloud
; dust
; environmental temperature
; exhaust gas
; gas
; Hong Kong
; human
; Japan
; meteorological phenomena
; optical depth
; particulate matter
; physical chemistry
; priority journal
; seasonal variation
; South Korea
; surface property
; Taiwan
; China
; Hong Kong
; Japan
; South Korea
; Taiwan
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Following a comprehensive evaluation of WRF-CAM5 in Part I, Part II describes analyses of interannual variability, multi-year variation trends, and the direct, indirect, and total effects of anthropogenic aerosols. The interannual variations of chemical column and surface concentrations, and ozone (O3)/particulate matter (PM) indicators are strongly correlated to anthropogenic emission changes. Despite model biases, the model captures well the observed interannual variations of temperature at 2-m, cloud fraction, shortwave cloud forcing, downwelling shortwave radiation, cloud droplet number concentration, column O3, and column formaldehyde (HCHO) for the whole domain. While the model reproduces the volatile organic compound (VOC)-limited regimes of O3 chemistry at sites in Hong Kong, Taiwan, Japan, South Korea, and from the Acid Deposition Monitoring Network in East Asia (EANET) and the degree of sulfate neutralization at the EANET sites, it has limited capability in capturing the interannual variations of the ratio of O3 and nitrogen dioxide (O3/NO2) and PM chemical regime indicators, due to uncertainties in the emissions of precursors for O3 and secondary PM, the model assumption for ammonium bisulfate (NH4HSO4) as well as lack of gas/particle partitioning of total ammonia and total nitrate. While the variation trends in multi-year periods in aerosol optical depth and column concentrations of carbon monoxide, sulfur dioxide, and NO2 are mainly caused by anthropogenic emissions, those of major meteorological and cloud variables partly reflect feedbacks of chemistry to meteorological variables. The impacts of anthropogenic aerosol indirect effects either dominate or play an important role in the aerosol total effects for most cloud and chemical predictions, whereas anthropogenic aerosol direct effects influence most meteorological and radiation variables. The direct, indirect, and total effects of anthropogenic aerosols exhibit a strong interannual variability in 2001, 2006, and 2011. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82578
Appears in Collections: 气候变化事实与影响
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作者单位: Air Quality Forecasting Laboratory, North Carolina State University, Raleigh, NC, United States; Collaborative Innovation Center for Regional Environmental Quality, Beijing, China
Recommended Citation:
Zhang Y,, Wang K,, He J. Multi-year application of WRF-CAM5 over East Asia-Part II: Interannual variability, trend analysis, and aerosol indirect effects[J]. Atmospheric Environment,2017-01-01,165