气候变化领域集成服务门户(CCPortal): Downscaling system for modeling of atmospheric composition on regional, urban and street scales

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DOI	10.5194/acp-21-11099-2021
	Downscaling system for modeling of atmospheric composition on regional, urban and street scales
	Nuterman R.; Mahura A.; Baklanov A.; Amstrup B.; Zakey A.
发表日期	2021
ISSN	1680-7316
起始页码	11099
结束页码	11112
卷号	21 期号:14
英文摘要	In this study, the downscaling modeling chain for prediction of weather and atmospheric composition is described and evaluated against observations. The chain consists of interfacing models for forecasting at different spatiotemporal scales that run in a semi-operational mode. The forecasts were performed for European (EU) regional and Danish (DK) subregional-urban scales by the offline coupled numerical weather prediction HIRLAM and atmospheric chemical transport CAMx models, and for Copenhagen city-street scale by the online coupled computational fluid dynamics M2UE model. The results showed elevated NOx and lowered O3 concentrations over major urban, industrial, and transport land and water routes in both the EU and DK domain forecasts. The O3 diurnal cycle predictions in both these domains were equally good, although O3 values were closer to observations for Denmark. At the same time, the DK forecast of NOx and NO2 levels was more biased (with a better prediction score of the diurnal cycle) than the EU forecast, indicating a necessity to adjust emission rates. Further downscaling to the street level (Copenhagen) indicated that the NOx pollution was 2-fold higher on weekends and more than 5 times higher during the working day with high pollution episodes. Despite high uncertainty in road traffic emissions, the street-scale model effectively captured the NOx and NO2 diurnal cycles and the onset of elevated pollution episodes. The demonstrated downscaling system could be used in future online integrated meteorology and air quality research and operational forecasting, as well as for impact assessments on environment, population, and decision making for emergency preparedness and safety measures planning. © 2021 Roman Nuterman et al.
语种	英语
scopus关键词	climate modeling; computational fluid dynamics; downscaling; nitrogen; numerical model; weather forecasting; Copenhagen [(CTY) Hovedstaden]; Denmark; Hovedstaden
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246712
作者单位	Niels Bohr Institute, University of Copenhagen, Copenhagen, 2100, Denmark; Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, 00560, Finland; Science and Innovation Department, World Meteorological Organization, Geneva 2, 1211, Switzerland; Research Department, Danish Meteorological Institute, Copenhagen, 2100, Denmark; Egyptian Meteorological Authority, Cairo, 11784, Egypt
推荐引用方式 GB/T 7714	Nuterman R.,Mahura A.,Baklanov A.,et al. Downscaling system for modeling of atmospheric composition on regional, urban and street scales[J],2021,21(14).
APA	Nuterman R.,Mahura A.,Baklanov A.,Amstrup B.,&Zakey A..(2021).Downscaling system for modeling of atmospheric composition on regional, urban and street scales.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(14).
MLA	Nuterman R.,et al."Downscaling system for modeling of atmospheric composition on regional, urban and street scales".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.14(2021).