globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2014.09.020
Scopus记录号: 2-s2.0-84937918358
论文题名:
Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII phase-2
作者: Kong X; , Forkel R; , Sokhi R; S; , Suppan P; , Baklanov A; , Gauss M; , Brunner D; , Barò R; , Balzarini A; , Chemel C; , Curci G; , Jiménez-Guerrero P; , Hirtl M; , Honzak L; , Im U; , Pérez J; L; , Pirovano G; , San Jose R; , Schlünzen K; H; , Tsegas G; , Tuccella P; , Werhahn J; , Žabkar R; , Galmarini S
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 115
起始页码: 527
结束页码: 540
语种: 英语
英文关键词: Aerosol direct effects ; Feedback ; Fire and dust ; PM10
Scopus关键词: Aerosols ; Chemical analysis ; Deforestation ; Dust ; Feedback ; Fire hazards ; Fires ; Forestry ; Meteorology ; Pollution ; Social networking (online) ; Aerosol indirect effect ; Air pollution episodes ; Better performance ; Model evaluation ; Model simulation ; Online coupled models ; PM10 ; Pollution episodes ; Air pollution ; ozone ; aerosol composition ; atmospheric pollution ; dust ; episodic event ; forest fire ; numerical model ; particulate matter ; performance assessment ; simulation ; aerosol ; air pollution ; air quality ; Air Quality Model Evaluation International Initiative ; Article ; chemistry ; forest ; meteorology ; particulate matter ; pollution ; priority journal ; Russian Federation ; simulation ; temperature ; Aerosols ; Forest Fires ; Meteorology ; Pollution ; 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: This study reviews the top ranked meteorology and chemistry interactions in online coupled models recommended by an experts' survey conducted in COST Action EuMetChem and examines the sensitivity of those interactions during two pollution episodes: the Russian forest fires 25 Jul-15 Aug 2010 and a Saharan dust transport event from 1 Oct to 31 Oct 2010 as a part of the AQMEII phase-2 exercise. Three WRF-Chem model simulations were performed for the forest fire case for a baseline without any aerosol feedback on meteorology, a simulation with aerosol direct effects only and a simulation including both direct and indirect effects. For the dust case study, eight WRF-Chem and one WRF-CMAQ simulations were selected from the set of simulations conducted in the framework of AQMEII. Of these two simulations considered no feedbacks, two included direct effects only and five simulations included both direct and indirect effects. The results from both episodes demonstrate that it is important to include the meteorology and chemistry interactions in online-coupled models. Model evaluations using routine observations collected in AQMEII phase-2 and observations from a station in Moscow show that for the fire case the simulation including only aerosol direct effects has better performance than the simulations with no aerosol feedbacks or including both direct and indirect effects. The normalized mean biases are significantly reduced by 10-20% for PM10 when including aerosol direct effects. The analysis for the dust case confirms that models perform better when including aerosol direct effects, but worse when including both aerosol direct and indirect effects, which suggests that the representation of aerosol indirect effects needs to be improved in the model. © 2014 Published by Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81637
Appears in Collections:气候变化事实与影响

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作者单位: Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, Hatfield, United Kingdom; Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung, Atmosphärische Umweltforschung, IMK-IFU, Kreuzeckbahnstr. 19, Garmisch-Partenkirchen, Germany; Danish Meteorological Institute, Denmark; World Meteorological Organization (WMO), Switzerland; Norwegian Meteorological Institute, Norway; EMPA, Switzerland; Department of Physics, Ed. CIOyN, University of Murcia, Campus de Espinardo, Regional Campus of Inter. Excellence (Campus Mare Nostrum), Murcia, Spain; Ricerca sul Sistema Energetico (RSE) SpA, Milan, Italy; Department of Physical and Chemical Sciences, Center of Excellence for the forecast of Severe Weather (CETEMPS), University of L'Aquila, L'Aquila, Italy; Section Environmental Meteorology, Division Customer Service, ZAMG - Zentralanstalt für Meteorologie und Geodynamik, Wien, Austria; Center of Excellence SPACE-SI, Ljubljana, Slovenia; Institute for Environment and Sustainability, Joint Research Centre, European Commission, Ispra, Italy; Environmental Software and Modelling Group, Computer Science School - Technical University of Madrid, Spain; Meteorological Institute, University Hamburg, Germany; Aristotle University of Thessaloniki, Greece; University of Ljubljana, Faculty of Mathematics and Physics, Slovenia

Recommended Citation:
Kong X,, Forkel R,, Sokhi R,et al. Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII phase-2[J]. Atmospheric Environment,2015-01-01,115
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