2014
DOI: 10.5194/acp-14-9597-2014
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Simulation of the interannual variations of aerosols in China: role of variations in meteorological parameters

Abstract: Abstract. We used the nested grid version of the global three-dimensional Goddard Earth Observing System chemical transport model (GEOS-Chem) to examine the interannual variations (IAVs) of aerosols over heavily polluted regions in China for years [2004][2005][2006][2007][2008][2009][2010][2011][2012]. The role of variations in meteorological parameters was quantified by a simulation with fixed anthropogenic emissions at year 2006 levels and changes in meteorological parameters over (particles with a diameter… Show more

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Cited by 58 publications
(61 citation statements)
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References 70 publications
(68 reference statements)
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“…The dominant effect of WS in winter over eastern China has been reported by many previous studies (Zhao et al 2013;Mu and Liao 2014;Zhou et al 2015;Qu et al 2015;Li et al 2015), as a result of the IAVs of the intensity of Eastern Asian Winter Monsoon (EAWM) (Niu et al 2010;Zhou et al 2015;Li et al 2015). In summer, the intensive influences of RH on variations of aerosol concentrations have also been shown by many studies.…”
Section: Key Meteorological Variables That Drive the Interannual Varimentioning
confidence: 78%
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“…The dominant effect of WS in winter over eastern China has been reported by many previous studies (Zhao et al 2013;Mu and Liao 2014;Zhou et al 2015;Qu et al 2015;Li et al 2015), as a result of the IAVs of the intensity of Eastern Asian Winter Monsoon (EAWM) (Niu et al 2010;Zhou et al 2015;Li et al 2015). In summer, the intensive influences of RH on variations of aerosol concentrations have also been shown by many studies.…”
Section: Key Meteorological Variables That Drive the Interannual Varimentioning
confidence: 78%
“…S1). The magnitude and spatial distribution of simulated aerosols in the GEOS-Chem model have been evaluated extensively in previous studies for the US (Park et al 2003(Park et al , 2004Heald et al 2006;van Donkelaar et al 2006;Fu et al 2009;Drury et al 2010;Leibensperger et al 2011;Zhang et al 2012a), China (Zhang et al 2012b;Wang et al 2013) Mu and Liao (2014). Our simulation by GEOS-Chem also captures the temporal variations of PM 2.5 concentrations in the eastern US, eastern China and Europe (see supplementary material, Fig.…”
Section: Geos-chem Simulationmentioning
confidence: 90%
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