2009
DOI: 10.1016/j.atmosenv.2008.12.048
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Evaluation of a unified regional air-quality modeling system (AURAMS) using PrAIRie2005 field study data: The effects of emissions data accuracy on particle sulphate predictions

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Cited by 23 publications
(14 citation statements)
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“…The flow is split after the critical orifice, with 90% of the flow making a sharp turn and being pulled through the optical cell. The other 10% is pulled directly to the pump, relying on inertia to remove particles larger than 300 nm and eliminating the use of a particle filter, which may cause interferences from ammonium (Gras, 1984;Cheng and Tsai, 1997;Chow et al, 1998). The inlet also includes two ports for the introduction of calibration gas and background gas, designed so that these flows encounter the inlet in the same way as ambient sampling.…”
Section: Qc-tildasmentioning
confidence: 99%
“…The flow is split after the critical orifice, with 90% of the flow making a sharp turn and being pulled through the optical cell. The other 10% is pulled directly to the pump, relying on inertia to remove particles larger than 300 nm and eliminating the use of a particle filter, which may cause interferences from ammonium (Gras, 1984;Cheng and Tsai, 1997;Chow et al, 1998). The inlet also includes two ports for the introduction of calibration gas and background gas, designed so that these flows encounter the inlet in the same way as ambient sampling.…”
Section: Qc-tildasmentioning
confidence: 99%
“…The model has three main components: (1) a prognostic meteorological model GEM (Global Environmental Multiscale model: Côté et al, 1998); (2) an emissions processing system, (Sparse Matrix Operator Kernel Emissions: Houyoux et al, 2000;CEP, 2003); and (3) an off-line regional chemical transport model, the AURAMS Chemical Transport Model (CTM: cf. Cho et al, 2009;Makar et al, 2009;Gong et al, 2006). The AURAMS model was run with three nested grids at 42, 15 and 2.5 km horizontal resolution, driven by 15 km (for the two courser resolutions) and 2.5 km GEM simulations.…”
Section: Model Descriptionmentioning
confidence: 99%
“…To better understand the BAQS-Met observations, output from the GEM/AURAMS regional air-quality modeling system (Cho et al, 2009;Côté et al, 1998;Makar et al, 2009), which was run with three nested grids with 42, 15 and 2.5 km horizontal grid spacing ( Fig. 1), are also analyzed in this paper.…”
Section: Datasetsmentioning
confidence: 99%