Simulations of organic aerosol concentrations in Mexico City using the WRF-CHEM model during the MCMA-2006/MILAGRO campaign by Molina, Luisa Tan, Li, Guohui, Lei, Wenfang, Zavala, M., Tsimpidi, A. P., Karydis, V. A., Pandis, S. N., Canagaratna, M. R.

“…The SOA simulations are significantly improved in the non-traditional SOA model compared to the traditional SOA model and the SOA production is increased by more than 100% in the city. …”
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Investigation of the correlation between odd oxygen and secondary organic aerosol in Mexico City and Houston by Wood, E. C., Canagaratna, M. R., Herndon, S. C., Onasch, T. B., Kolb, Charles E., Worsnop, D. R., Kroll, Jesse, Knighton, W. Berk, Seila, R., Zavala, M., Molina, Luisa Tan, DeCarlo, P. F., Jimenez, J. L., Weinheimer, A. J., Knapp, D. J., Jobson, B. T., Stutz, J., Kuster, W. C., Williams, E. J.

“…Many recent models underpredict secondary organic aerosol (SOA) particulate matter (PM) concentrations in polluted regions, indicating serious deficiencies in the models' chemical mechanisms and/or missing SOA precursors. …”
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Sources and production of organic aerosol in Mexico City: insights from the combination of a chemical transport model (PMCAMx-2008) and measurements by Tsimpidi, A. P., Karydis, V. A., Bei, Naifang, Pandis, S. N., Lei, Wenfang, Molina, Luisa Tan, Zavala-Perez, Miguel Angel

“…Inside Mexico City (at T0), the locally-produced OA is predicted to be on average 60 % locally-emitted primary (POA), 6 % semi-volatile (S-SOA) and intermediate volatile (I-SOA) organic aerosol, and 34 % traditional SOA from the oxidation of VOCs (V-SOA). …”
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Modeling the impacts of biomass burning on air quality in and around Mexico City by Lei, W., Molina, Luisa Tan, Li, Guohui

“…In contrast, they had important influences on OA and elemental carbon (EC), increasing primary OA (POA) by ~60%, secondary OA (SOA) by ~22%, total OA (TOA = POA + SOA) by ~33%, and EC by ~22%, on both the local (urban) and regional scales. …”
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Evaluation of the volatility basis-set approach for the simulation of organic aerosol formation in the Mexico City metropolitan area by Tsimpidi, A. P., Karydis, V. A., Zavala-Perez, Miguel Angel, Lei, Wenfang, Molina, Luisa Tan, Ulbrich, I. M., Jimenez, J. L., Pandis, S. N.

“…This new framework with the use of the new volatility basis parameters for low-NOx [low - NO subscript x] and high-NOx [high - NO subscript x] conditions tends to predict 4–6 times higher anthropogenic SOA concentrations than those predicted with older generation of models. …”
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Oxidative capacity of the Mexico City atmosphere - Part 2: A ROx radical cycling perspective by Sheehy, P. M., Molina, Luisa Tan, Molina, Mario J., Volkamer, R. A.

“…We argue that this uncertainty is partly accounted for in lumped chemical codes that are optimized to predict ozone concentrations; however, these codes do not reflect the true uncertainty in oxidative capacity that is relevant to other aspects of air quality management, such as the formation of secondary organic aerosol (SOA). Our analysis highlights that apart from uncertainties in emissions, and meteorology, there is an additional major uncertainty in chemical mechanisms that affects our ability to predict ozone and SOA formation with confidence.…”
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Oxidative capacity of the Mexico City atmosphere - Part 1: A radical source perspective by Sheehy, P. M., Molina, Luisa Tan, Molina, Mario J., Volkamer, R. A.

“…Continued VOC reductions will in the future result in decreasing peak concentrations of ozone and SOA in the MCMA.…”
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Mexico City Aerosol Analysis During Milagro Using High Resolution Aerosol Mass Spectrometry at the Urban Supersite (T0) - Part 1: Fine Particle Composition and Organic Source Appor... by Aiken, A. C., Foy, B. de, Wiedinmyer, C., Ulbrich, I. M., Wehrli, M. N., Szidat, S., Prevot, A. S. H., Noda, J., Wacker, L., Volkamer, R., Fortner, E. C., Wang, J., Laskin, A., Shutthanandan, V., Zheng, J., Zhang, R., Paredes-Miranda, G., Arnott, W. P., Molina, Luisa Tan, Sosa, G., Querol, X., Jimenez, J. L., DeCarlo, P. F.

“…The AMS oxygenated organic aerosol (OA) factor (OOA, mostly secondary OA or SOA) does not show an increase during the fire periods or a correlation with fire counts, FLEXPART-predicted FIFs or fire tracers, indicating that it is dominated by urban and/or regional sources and not by the fires near the MCMA. …”
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