气候变化领域集成服务门户(CCPortal): CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling

CCPortal

DOI	10.5194/essd-14-491-2022
	CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling
	Kuenen, Jeroen; Dellaert, Stijn; Visschedijk, Antoon; Jalkanen, Jukka-Pekka; Super, Ingrid; Denier van der Gon, Hugo
发表日期	2022
ISSN	1866-3508
EISSN	1866-3516
起始页码	491
结束页码	515
卷号	14 期号:2
英文摘要	This paper presents a state-of-the-art anthropogenic emission inventory developed for the European domain for an 18-year time series (2000-2017) at a 0.05 degrees x 0.1 degrees grid resolution, specifically designed to support air quality modelling. The main air pollutants are included: NOx, SO2, non-methane volatile organic compounds (NMVOCs), NH3, CO, PM10 and PM2.5, and also CH4. To stay as close as possible to the emissions as officially reported and used in policy assessment, the inventory uses the officially reported emission data by European countries to the UN Framework Convention on Climate Change, the Convention on Long-Range Transboundary Air Pollution and the EU National Emission Ceilings Directive as the basis where possible. Where deemed necessary because of errors, incompleteness or inconsistencies, these are replaced with or complemented by other emission data, most notably the estimates included in the Greenhouse gas Air pollution Interaction and Synergies (GAINS) model. Emissions are collected at the high sectoral level, distinguishing around 250 different sector-fuel combinations, whereafter a consistent spatial distribution is applied for Europe. A specific proxy is selected for each of the sector-fuel combinations, pollutants and years. Point source emissions are largely based on reported facility-level emissions, complemented by other sources of point source data for power plants. For specific sources, the resulting emission data were replaced with other datasets. Emissions from shipping (both inland and at sea) are based on the results from a separate shipping emission model where emissions are based on actual ship movement data, and agricultural waste burning emissions are based on satellite observations. The resulting spatially distributed emissions are evaluated against earlier versions of the dataset as well as against alternative emission estimates, which reveals specific discrepancies in some cases. Along with the resulting annual emission maps, profiles for splitting particulate matter (PM) and NMVOCs into individual components are provided, as well as information on the height profile by sector and temporal disaggregation down to the hourly level to support modelling activities. Annual grid maps are available in csv and NetCDF format (https://doi.org/10.24380/0vzb-a387, Kuenen et al., 2021).
语种	英语
WOS研究方向	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000758036900001
来源期刊	EARTH SYSTEM SCIENCE DATA
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281120
作者单位	Netherlands Organization Applied Science Research
推荐引用方式 GB/T 7714	Kuenen, Jeroen,Dellaert, Stijn,Visschedijk, Antoon,et al. CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling[J],2022,14(2).
APA	Kuenen, Jeroen,Dellaert, Stijn,Visschedijk, Antoon,Jalkanen, Jukka-Pekka,Super, Ingrid,&Denier van der Gon, Hugo.(2022).CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling.EARTH SYSTEM SCIENCE DATA,14(2).
MLA	Kuenen, Jeroen,et al."CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling".EARTH SYSTEM SCIENCE DATA 14.2(2022).