DOI: 10.1016/j.atmosenv.2015.10.014
Scopus记录号: 2-s2.0-84945219275
论文题名: The natural emissions model (NEMO): Description, application and model evaluation
作者: Liora N ; , Markakis K ; , Poupkou A ; , Giannaros T ; M ; , Melas D
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 122 起始页码: 493
结束页码: 504
语种: 英语
英文关键词: Europe
; Model evaluation
; Natural emissions model
; Particulate matter
Scopus关键词: Aerosols
; Air quality
; Atmospheric composition
; Dust
; Meteorology
; Particles (particulate matter)
; Volatile organic compounds
; Weather forecasting
; Biogenic volatile organic compounds
; Comprehensive air quality model with extensions
; Europe
; Model evaluation
; Natural emissions
; Particulate Matter
; Particulate matter emissions
; Weather research and forecasting models
; Particulate emissions
; volatile organic compound
; aerosol
; air quality
; biogenic emission
; concentration (composition)
; data assimilation
; dust
; geographical variation
; model validation
; organic compound
; sea salt
; seasonal variation
; weather forecasting
; air analysis
; air quality
; Article
; Atlantic Ocean
; autumn
; cold climate
; computer model
; Ireland
; Mediterranean Sea
; mineral dust
; natural emissions model
; particulate matter
; precipitation
; priority journal
; seasonal variation
; Southern Europe
; summer
; winter
; Aegean Sea
; Atlantic Ocean
; Europe
; Mediterranean Sea
; Sahara
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 aim of this study is the application and evaluation of a new computer model used for the quantification of emissions coming from natural sources. The Natural Emissions Model (NEMO) is driven by the meteorological data of the mesoscale numerical Weather Research and Forecasting (WRF) model and it estimates particulate matter (PM) emissions from windblown dust, sea salt aerosols (SSA) and primary biological aerosol particles (PBAPs). It also includes emissions from Biogenic Volatile Organic Compounds (BVOCs) from vegetation; however, this study focuses only on particle emissions. An application and evaluation of NEMO at European scale are presented. NEMO and the modelling system consisted of WRF model and the Comprehensive Air Quality Model with extensions (CAMx) were applied in a 30 km European domain for the year 2009. The computed domain-wide annual PM10 emissions from windblown dust, sea salt and PBAPs were 0.57 Tg, 20 Tg and 0.12 Tg, respectively. PM2.5 represented 6% and 33% of emitted windblown dust and sea salt, respectively. Natural emissions are characterized by high geographical and seasonal variations; windblown dust emissions were the highest during summer in the southern Europe and SSA production was the highest in Atlantic Ocean during the cold season while in Mediterranean Sea the highest SSA emissions were found over the Aegean Sea during summer. Modelled concentrations were compared with surface station measurements and showed that the model captured fairly well the contribution of the natural sources to PM levels over Europe. Dust concentrations correlated better when dust transport events from Sahara desert were absent while the simulation of sea salt episodes led to an improvement of model performance during the cold season. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81348
Appears in Collections: 气候变化事实与影响
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作者单位: Aristotle University of Thessaloniki, Department of Physics, Laboratory of Atmospheric Physics, Thessaloniki, Greece; Laboratoire de Meteorologie Dynamique, IPSL Laboratoire CEA/CNRS/UVSQ, Ecole Polytechnique, Palaiseau CEDEX, France; National Observatory of Athens, Institute for Environmental Research and Sustainable Development, Vas. Pavlou I. Metaxa, Athens, Greece
Recommended Citation:
Liora N,, Markakis K,, Poupkou A,et al. The natural emissions model (NEMO): Description, application and model evaluation[J]. Atmospheric Environment,2015-01-01,122