DOI: 10.1016/j.atmosenv.2014.10.021
Scopus记录号: 2-s2.0-84937861018
论文题名: Feedbacks between air pollution and weather, part 2: Effects on chemistry
作者: Makar P ; A ; , Gong W ; , Hogrefe C ; , Zhang Y ; , Curci G ; , Žabkar R ; , Milbrandt J ; , Im U ; , Balzarini A ; , Baró R ; , Bianconi R ; , Cheung P ; , Forkel R ; , Gravel S ; , Hirtl M ; , Honzak L ; , Hou A ; , Jiménez-Guerrero P ; , Langer M ; , Moran M ; D ; , Pabla B ; , Pérez J ; L ; , Pirovano G ; , San José R ; , Tuccella P ; , Werhahn J ; , Zhang J ; , Galmarini S
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 115 起始页码: 499
结束页码: 526
语种: 英语
英文关键词: Air pollution modelling
; Coupled modelling systems
; Direct effect
; Feedbacks
; Forecasting
; Indirect effect
; Weather prediction
Scopus关键词: Aerosols
; Air pollution
; Air quality
; Atmospheric chemistry
; Atmospheric movements
; Deforestation
; Fire hazards
; Fires
; Forecasting
; Forestry
; Isoprene
; Ozone
; Pollution
; Quality assurance
; Air pollution modelling
; Direct effect
; Indirect effects
; Modelling systems
; Weather prediction
; Feedback
; hydrocarbon
; isoprene
; ozone
; aerosol property
; air quality
; atmospheric chemistry
; atmospheric modeling
; atmospheric plume
; atmospheric pollution
; climate prediction
; forest fire
; isoprene
; meteorology
; ozone
; radiative transfer
; volatile organic compound
; aerosol
; air monitoring
; air pollution
; air quality
; Article
; atmospheric transport
; carbon footprint
; feedback system
; forecasting
; North America
; particulate matter
; plume
; priority journal
; summer
; weather
; Europe
; North America
; Russian Federation
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: Fully-coupled air-quality models running in "feedback" and "no-feedback" configurations were compared against each other and observation network data as part of Phase 2 of the Air Quality Model Evaluation International Initiative. In the "no-feedback" mode, interactions between meteorology and chemistry through the aerosol direct and indirect effects were disabled, with the models reverting to climatologies of aerosol properties, or a no-aerosol weather simulation, while in the "feedback" mode, the model-generated aerosols were allowed to modify the models' radiative transfer and/or cloud formation processes. Annual simulations with and without feedbacks were conducted for domains in North America for the years 2006 and 2010, and for Europe for the year 2010. Comparisons against observations via annual statistics show model-to-model variation in performance is greater than the within-model variation associated with feedbacks. However, during the summer and during intense emission events such as the Russian forest fires of 2010, feedbacks have a significant impact on the chemical predictions of the models. The aerosol indirect effect was usually found to dominate feedbacks compared to the direct effect. The impacts of direct and indirect effects were often shown to be in competition, for predictions of ozone, particulate matter and other species. Feedbacks were shown to result in local and regional shifts of ozone-forming chemical regime, between NOx- and VOC-limited environments. Feedbacks were shown to have a substantial influence on biogenic hydrocarbon emissions and concentrations: North American simulations incorporating both feedbacks resulted in summer average isoprene concentration decreases of up to 10%, while European direct effect simulations during the Russian forest fire period resulted in grid average isoprene changes of -5 to +12.5%. The atmospheric transport and chemistry of large emitting sources such as plumes from forest fires and large cities were shown to be strongly impacted by the presence or absence of feedback mechanisms in the model simulations. Summertime model performance for ozone and other gases was improved through the inclusion of indirect effect feedbacks, while performance for particulate matter was degraded, suggesting that current parameterizations for in- and below cloud processes, once the cloud locations become more directly influenced by aerosols, may over- or under-predict the strength of these processes. Process parameterization-level comparisons of fully coupled feedback models are therefore recommended for future work, as well as further studies using these models for the simulations of large scale urban/industrial and/or forest fire plumes. © 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81678
Appears in Collections: 气候变化事实与影响
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作者单位: Air-Quality Research Division, Environment Canada, Toronto, Canada; Atmospheric Modeling and Analysis Division, Environmental Protection Agency, Research Triangle Park, United States; Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, United States; University of L'Aquila, L'Aquila, Italy; University of Ljubljana, Ljubljana, Slovenia; Center of Excellence SPACE-SI, Ljubljana, Slovenia; Meteorological Research Division, Environment Canada, Montreal, Canada; Joint Research Centre, European Commission, Ispra, Italy; RSE, Milano, Spain; University Murcia, MAR-UMU, Spain; Enviroware, Milan, Italy; Karlsruhe Inst. of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany; Air-Quality Research Division, Environment Canada, Montreal, Canada; ZAMG, Vienna, Austria; Technical Univ. of Madrid, ESMG-UPM, Spain; University L'Aquila, CETEMPS, Italy
Recommended Citation:
Makar P,A,, Gong W,et al. Feedbacks between air pollution and weather, part 2: Effects on chemistry[J]. Atmospheric Environment,2015-01-01,115