2014
DOI: 10.1016/j.atmosenv.2014.05.039
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An integrated PM2.5 source apportionment study: Positive Matrix Factorisation vs. the chemical transport model CAMx

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Cited by 142 publications
(63 citation statements)
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“…A comprehensive description of the model formulation is given in Skamarock et al (2008). 195 We adopted a model configuration quite similar (with regard to domains set-up and physics options) to that used operationally at the University of Genoa and described in the recent work by Bove et al (2014), which was focused on atmospheric chemical transport and where a first validation of surface temperature and wind fields was carried out. Three two-way nested computational domains…”
Section: Model Setup 190mentioning
confidence: 99%
“…A comprehensive description of the model formulation is given in Skamarock et al (2008). 195 We adopted a model configuration quite similar (with regard to domains set-up and physics options) to that used operationally at the University of Genoa and described in the recent work by Bove et al (2014), which was focused on atmospheric chemical transport and where a first validation of surface temperature and wind fields was carried out. Three two-way nested computational domains…”
Section: Model Setup 190mentioning
confidence: 99%
“…A full set of well-known and widely used physical parameterization schemes were adopted, following Bove et al (2014) and Cassola et al (2015). For long-wave radiation, a Rapid Radiation Transfer Model (RRTM) was selected (Mlawer et al, 1997), whereas for shortwave solar radiation, a Goddard scheme was adopted (Chou and Suarez, 1994).…”
Section: Atmospheric Modelmentioning
confidence: 99%
“…Several methods have been introduced to identify and quantify OC emission sources, such as the use of organic molecular tracers (Simoneit et al, 1999), receptor models (positive matrix factorization, PMF; chemical mass balance, CMB) (Singh et al, 2017;Bove et al, 2014;Marcazzan et al, 2003), and dispersion models (Colvile et al, 2003); however, their reliability is limited by their low atmospheric lifetimes, in turn due to chemical reactivity and highly variable emission factors (Fine et al, 2001(Fine et al, , 2002(Fine et al, , 2004Gao et al, 2003;Hedberg et al, 2006;Robinson et al, 2006). Recently, radiocarbon ( 14 C) analysis has been used as a powerful tool for facilitating the direct differentiation of non-fossilfuel (NF) carbon sources from fossil fuel (FF) sources, because 14 C is completely absent from FF carbon (e.g., diesel and gasoline exhaust, coal combustion), whereas NF carbon (e.g., biomass burning, cooking and biogenic emissions) shows a high contemporary 14 C level (Szidat et al, 2009).…”
Section: Introductionmentioning
confidence: 99%