2013
DOI: 10.1007/s11434-013-5978-9
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Pollution plumes observed by aircraft over North China during the IPAC-NC field campaign

Abstract: Strong pollution emissions from large urban and industrial centres in eastern China are thought to greatly impact regional air quality and global atmospheric chemistry. In this study, we investigate extensive pollution plumes over North China, observed by aircraft during the IPAC-NC (Influence of Pollution on Aerosols and Cloud Microphysics in North China) field campaign in spring 2006. Several pollution plumes were encountered, characterized by sharp and strong increases of SO 2 and NO x (NO plus NO 2 ) as we… Show more

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Cited by 4 publications
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“…Recently, its application to the estimation of NO x emissions has been widely reported. NO x emission rates are derived by constraining satellite observations using the relationship between model-simulated NO 2 vertical column density (VCD) and primary NO x emission estimates from the bottom-up approach (Martin, 2002;Jaeglé et al, 2005;Konovalov et al, 2006;Wang et al, 2007;Lin et al, 2012;Zyrichidou et al, 2015). Nevertheless, errors and uncertainties still exist in the retrieval of satellite data, which leads to a large decrease in the accuracy of estimated emissions, particularly in highly polluted regions such as Beijing and its surroundings (Ma et al, 2013a;Jin et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, its application to the estimation of NO x emissions has been widely reported. NO x emission rates are derived by constraining satellite observations using the relationship between model-simulated NO 2 vertical column density (VCD) and primary NO x emission estimates from the bottom-up approach (Martin, 2002;Jaeglé et al, 2005;Konovalov et al, 2006;Wang et al, 2007;Lin et al, 2012;Zyrichidou et al, 2015). Nevertheless, errors and uncertainties still exist in the retrieval of satellite data, which leads to a large decrease in the accuracy of estimated emissions, particularly in highly polluted regions such as Beijing and its surroundings (Ma et al, 2013a;Jin et al, 2016).…”
Section: Introductionmentioning
confidence: 99%