DOI: 10.1016/j.atmosenv.2014.12.003
Scopus记录号: 2-s2.0-84988241317
论文题名: Feedbacks between air pollution and weather, Part 1: Effects on weather
作者: Makar P ; A ; , Gong W ; , Milbrandt J ; , Hogrefe C ; , Zhang Y ; , Curci G ; , Žabkar R ; , 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: 442
结束页码: 469
语种: 英语
英文关键词: Aerosol
; Air pollution forecasting
; Air quality model evaluation international initiative
; Direct effect
; Feedbacks
; Indirect effect
; Ozone
; PM2.5
; Weather forecasting
Scopus关键词: Aerosols
; Air pollution
; Air quality
; Atmospheric temperature
; Climatology
; Feedback
; Forecasting
; Ozone
; Pollution
; Quality assurance
; Quality control
; Air pollution forecasting
; Air quality modeling
; Direct effect
; Indirect effects
; Meteorological parameters
; Meteorological prediction
; Meteorological variables
; Short-wave radiation
; Weather forecasting
; aerosol
; air quality
; atmospheric modeling
; atmospheric pollution
; climatology
; meteorology
; numerical model
; ozone
; pollutant source
; prediction
; speciation (chemistry)
; surface temperature
; weather forecasting
; aerosol
; air pollution
; air quality
; Article
; boundary layer
; climate
; Europe
; feedback system
; forecasting
; liquid
; meteorology
; North America
; precipitation
; priority journal
; spatial analysis
; surface property
; temperature
; time series analysis
; weather
; Europe
; North America
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: The meteorological predictions of fully coupled air-quality models running in "feedback" versus "no-feedback" simulations were compared against each other and observations as part of Phase 2 of the Air Quality Model Evaluation International Initiative. In the "no-feedback" mode, the aerosol direct and indirect effects were disabled, with the models reverting to either climatologies of aerosol properties, or a no-aerosol weather simulation. In the "feedback" mode, the model-generated aerosols were allowed to modify the radiative transfer and/or cloud formation parameterizations of the respective models. Annual simulations with and without feedbacks were conducted on domains over North America for the years 2006 and 2010, and over Europe for the year 2010.The incorporation of feedbacks was found to result in systematic changes to forecast predictions of meteorological variables, both in time and space, with the largest impacts occurring in the summer and near large sources of pollution. Models incorporating only the aerosol direct effect predicted feedback-induced reductions in temperature, surface downward and upward shortwave radiation, precipitation and PBL height, and increased upward shortwave radiation, in both Europe and North America. The feedback response of models incorporating both the aerosol direct and indirect effects varied across models, suggesting the details of implementation of the indirect effect have a large impact on model results, and hence should be a focus for future research. The feedback response of models incorporating both direct and indirect effects was also consistently larger in magnitude to that of models incorporating the direct effect alone, implying that the indirect effect may be the dominant process. Comparisons across modelling platforms suggested that direct and indirect effect feedbacks may often act in competition: the sign of residual changes associated with feedbacks often changed between those models incorporating the direct effect alone versus those incorporating both feedback processes. Model comparisons to observations for no-feedback and feedback implementations of the same model showed that differences in performance between models were larger than the performance changes associated with implementing feedbacks within a given model. However, feedback implementation was shown to result in improved forecasts of meteorological parameters such as the 2 m surface temperature and precipitation. These findings suggest that meteorological forecasts may be improved through the use of fully coupled feedback models, or through incorporation of improved climatologies of aerosol properties, the latter designed to include spatial, temporal and aerosol size and/or speciation variations. © 2014 . Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81649
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; Meteorological Research Division, Environment Canada, Montreal, 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; Joint Research Centre, European Commission, Ispra, Italy; RSE, Milano, Italy; 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, L'Aquila, Italy; Aarhus University, Department of Environmental Science, Roskilde, Denmark
Recommended Citation:
Makar P,A,, Gong W,et al. Feedbacks between air pollution and weather, Part 1: Effects on weather[J]. Atmospheric Environment,2015-01-01,115