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  • Abraczinskas, M., D. T. Olerud, and A. P. Sims (2004), Characterizing annual meteorological modeling performance for visibility improvement strategy modeling in the southeastern U.S. paper presented at 13th AMS Joint Conference on Applications of Air Pollution Meteorology with the Air and Waste Management Association, Am. Meteorol. Soc., Vancouver, B. C., Canada.
  • Atkinson, R., A. M. Winer, and J. N. Pitts (1986), Estimation of nighttime N2O5 concentrations from ambient NO2 and NO3 radical concentrations and the role of N2O5 in nighttime chemistry, Atmos. Environ., 20, 331339.
  • Boylan, J. W., M. T. Odman, J. G. Wilkinson, A. G. Russell, K. G. Doty, W. B. Norris, and R. T. McNider (2002), Development of a comprehensive, multiscale “one-atmosphere” modeling system: Application to the Southern Appalachian Mountains, Atmos. Environ., 36, 37213734.
  • Cabada, J. C., S. Rees, S. Takahama, A. Khlystov, S. N. Pandis, C. I. Davidson, and A. L. Robinson (2004), Mass size distributions and size resolved chemical composition of fine particulate matter at the Pittsburgh supersite, Atmos. Environ., 38, 31273141.
  • Capaldo, K. P., C. Pilinis, and S. N. Pandis (2000), A computationally efficient hybrid approach for dynamic gas/aerosol transfer in air quality models, Atmos. Environ., 34, 36173627.
  • Chow, J. C., J. G. Watson, L. C. Pritchett, W. R. Pierson, C. A. Frazier, and R. G. Purcell (1993), The DRI thermal/optimal reflectance carbon analysis system: Description, evaluation and applications in United States air quality studies, Atmos. Environ., Part A, 27, 11851201.
  • Dawson, J. P., P. J. Adams, and S. N. Pandis (2007), Sensitivity of PM2.5 to climate in the eastern US: A modelling case study, Atmos. Chem. Phys. Disc., 7, 62526487.
  • Dimitroulopoulou, C., and A. R. W. Marsh (1997), Modelling studies of NO3 nighttime chemistry and its effects on subsequent ozone formation, Atmos. Environ., 31, 30413057.
  • Eder, B., and S. Yu (2006), A performance evaluation of the 2004 release of Models-3 CMAQ, Atmos. Environ., 40, 48114824.
  • Environ (2003), User's guide to the comprehensive air quality model with extensions (CAMx), version 4.02, report, ENVIRON Int. Corp., Novato, Calif. (Available at http://www.camx.com).
  • Fahey, K. M., and S. N. Pandis (2001), Optimizing model performance: Variable size resolution in cloud chemistry modelling, Atmos. Environ., 35, 44714478.
  • Gaydos, T. M., B. Koo, S. N. Pandis, and D. P. Chock (2003), Development and application of an efficient moving sectional approach for the solution of the atmospheric aerosol condensation/evaporation equations, Atmos. Environ., 37, 33033316.
  • Gaydos, T., R. Pinder, B. Koo, K. Fahey, G. Yarwood, and S. N. Pandis (2007), Development and application of a three-dimensional Chemical Transport Model, PMCAMx, Atmos. Environ., 41, 25942611.
  • Gelbard, F., Y. Tambour, and J. H. Seinfeld (1980), Sectional representations for simulating aerosol dynamics, J. Colloid Interface Sci., 76, 541556.
  • Gery, M. W., G. Z. Whitten, J. P. Killus, and M. C. Dodge (1989), A photochemical kinetics mechanism for urban and regional scale computer modelling, J. Geophys. Res., 94, 925956.
  • Grell, G. A., J. Dudhia, and D. R. Stauffer (1995), A description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5), NCAR/TN-398+STR, Natl. Cent. for Atmos. Res., Boulder, Colo. (Available at http://www.mmm.ucar.edu/mm5/documents/mm5-desc-doc.html).
  • Harley, R. A., A. G. Russell, G. J. McRae, G. R. Cass, and J. H. Seinfeld (1993), Photochemical modeling of the Southern California Air-Quality Study, Environ. Sci. Technol., 27, 378388.
  • IMPROVE (1995), IMPROVE data guide, Univ. of Calif., Davis, Aug. (Available at http://vista.cira.colostate.edu/improve/Publications/OtherDocs/IMPROVEDataGuide/IMPROVEDataGuide.htm).
  • Jacobson, M. Z. (1997), Development and application of a new air pollution modeling system. 3. Aerosol-phase simulations, Atmos. Environ., 31, 587608.
  • Jimenez, P., R. Parra, S. Gasso, and J. M. Baldasano (2005), Modeling the ozone weekend effect in very complex terrains: A case study in the northeastern Iberian Peninsula, Atmos. Environ., 39, 429444.
  • Kleeman, M. J., and G. R. Cass (2001), A 3D Eulerian source-oriented model for an externally mixed aerosol, Environ. Sci. Technol., 35, 48344848.
  • Koo, B. Y., A. S. Ansari, and S. N. Pandis (2003), Integrated approaches to modeling the organic and inorganic atmospheric aerosol components, Atmos. Environ., 37, 47574768.
  • Lake Michigan Air Directors Consortium (2003), Midwest Regional Planning Organization: Base E modeling inventory, report, Rosemont, Ill. (Available at http://www.ladco.org/tech/emis/).
  • Lane, T. E., R. W. Pinder, M. Shriva stava, A. J. Robinson, and S. N. Pandis (2007), Source contributions to primary organic aerosol; Comparison of the results of a source-resolved model and the Chemical Mass Balance approach, Atmos. Environ., 41, 37583776.
  • Lurmann, F. W., A. S. Wexler, S. N. Pandis, S. Musarra, N. Kumar, and J. H. Seinfeld (1997), Modeling urban and regional aerosols—II. Application to California's south coast air basin, Atmos. Environ., 31, 26952715.
  • Marmur, A., S. K. Park, J. A. Mulholland, P. E. Tolbert, and A. G. Russell (2006), Source apportionment of PM2.5 in the southeastern United States using receptor and emissions-based models: Conceptual differences and implications for time-series health studies, Atmos. Environ., 40, 25332551.
  • Mebust, M. R., B. K. Eder, F. S. Binkowski, and S. J. Roselle (2003), Models-3 Community Multiscale Air Quality (CMAQ) model aerosol component: 2. Model evaluation, J. Geophys. Res., 108(D6), 4184, doi:10.1029/2001JD001410.
  • Morris, R., B. Koo, and G. Yarwood (2005a), Evaluation of multisectional and two-section particulate matter photochemical grid models in the western United States, Air Waste Manage. Assoc., 55, 16831693.
  • Morris, R. E., D. E. McNally, T. W. Tesche, G. Tonnesen, J. W. Boylan, and P. Brewer (2005b), Preliminary evaluation of the Community Multiscale Air Quality Model for 2002 over the southeastern United States, Air Waste Manage. Assoc., 55, 16941708.
  • Napari, I., M. Noppel, H. Vehkamäki, and M. Kulmala (2002), Parametrization of ternary nucleation rates for H2SO4-NH3-H2O vapors, J. Geophys. Res., 107(D19), 4381, doi:10.1029/2002JD002132.
  • National Institute of Occupational Safety and Health (1999), Method 5040 Issue 3 (interim): Elemental carbon (diesel exhaust), NIOSH Manual of Analytical Methods, Cincinnati, Ohio.
  • Nenes, A., C. Pilinis, and S. N. Pandis (1998), ISORROPIA: A new thermodynamic equilibrium model for multiphase multicomponent inorganic aerosols, Aquat. Geochem., 4, 123152.
  • Olerud, D., and A. Sims (2004), MM5 2002 modeling in support of VISTAS (Visibility Improvement—State and Tribal Association), Baron Adv. Meteorol. Syst., LLC, Research Triangle Park, N. C. (Available at http://www.baronams.com/projects/VISTAS).
  • Pandis, S. N., A. S. Wexler, and J. H. Seinfeld (1993), Secondary organic aerosol formation and transport. 2. Predicting the ambient secondary organic aerosol-size distribution, Atmos. Environ., 27, 24032416.
  • Pilinis, C., and J. H. Seinfeld (1987), Development and evaluation of an Eulerian photochemical gas-aerosol model, Atmos. Environ., 22, 19852001.
  • Pinder, R. W., R. Strader, C. I. Davidson, and P. J. Adams (2004), A temporally and spatially resolved ammonia emission inventory for dairy cows in the United States, Atmos. Environ., 38, 37473756.
  • Pinder, R. W., P. J. Adams, S. N. Pandis, and A. B. Gilliland (2006), Temporally resolved ammonia emission inventories: Current estimates, evaluation tools, and measurement needs, J. Geophys. Res., 111, D16310, doi:10.1029/2005JD006603.
  • Rees, S. L., A. L. Robinson, A. Khlystov, C. O. Stanier, and S. N. Pandis (2004), Mass balance closure and the Federal Reference Method for PM2.5 in Pittsburgh, Pennsylvania, Atmos. Environ., 38, 33053318.
  • Russell, A. G., K. F. McCue, and G. R. Cass (1988), Mathematical modelling of the formation of nitrogen-containing air pollutants—I. Evaluation of an Eulerian photochemical model, Environ. Sci. Technol., 22, 263271.
  • Scott, B. C. (1978), Parameterization of sulfate removal by precipitation, J. Appl. Meteorol., 17, 13751389.
  • Seinfeld, J. H., and S. N. Pandis (2006), Atmospheric Chemistry and Physics, John Wiley, New York.
  • Sokhi, R. S., R. San Jose, N. Kitwiroon, E. Fragkou, J. L. Perez, and D. R. Middleton (2006), Prediction of ozone levels in London using the MM5-CMAQ modelling system, Environ. Modell. Software, 21, 566576.
  • Sotiropoulou, R. E. P., E. Tagaris, C. Pilinis, S. Andronopoulos, A. Sfetsos, and J. G. Bartzis (2004), The BOND project: Biogenic aerosols and air quality in Athens and Marseille greater areas, J. Geophys. Res., 109, D05205, doi:10.1029/2003JD003955.
  • Strader, R., F. Lurmann, and S. N. Pandis (1999), Evaluation of secondary organic aerosol formation in winter, Atmos. Environ., 33, 48494863.
  • Tambour, Y., and J. H. Seinfeld (1980), Solution of the discrete coagulation equation, J. Colloid Interface Sci., 74, 260272.
  • Tesche, T. W., R. Morris, G. Tonnesen, D. McNally, J. Boylan, and P. Brewer (2006), CMAQ/CAMx annual 2002 performance evaluation over the eastern US, Atmos. Environ., 40, 49064919.
  • U.S. Environmental Protection Agency (2001), Procedures document for national emission inventory, criteria air pollutants, 1985–1999, EPA-454/R-01-006, Off. of Air Qual. Plann. and Stand., Research Triangle Park, N. C., March . (Available at http://www.epa.gov/ttn/chief/trends/procedures/neiproc_99.pdf).
  • U.S. Environmental Protection Agency (2002), User guide: Air quality system, report, Research Triangle Park, N. C., Apr. (Available at http://www.epa.gov/ttn/airs/airsaqs/manuals/AQSUserGuide.pdf).
  • U.S. Environmental Protection Agency (2003), User's guide to MOBILE6.1 and MOBILE6.2–Mobile Source Emission Factor Model, EPA420-R-03-010, Air and Radiat., Washingt, D. C., Aug. (Available at http://www.epa.gov/otaq/models/mobile6/420r03010.pdf).
  • Venkataraman, C., and S. K. Friedlander (1994), Size distributions of polycyclic aromatic hydrocarbons and elemental carbon. 2. Ambient measurements and effects of atmospheric processes, Environ. Sci. Technol., 28, 563572.
  • Wahner, A., T. F. Mentel, and M. Sohn (1998), Gas-phase reaction of N2O5 with water vapor: Importance of heterogeneous hydrolysis of N2O5 and surface desorption of HNO3 in a large teflon chamber, Geophys. Res. Lett., 25(12), 21692172.
  • Wilkinson, J., and M. Janssen (2001), BIOME3, paper presented at National Emissions Inventory Workshop, U. S. Environ. Prot. Agency, Denver, Colo., 1 – 3 May . (Available at http://www.epa.gov/ttn/chief/conference/ei10/modeling/wilkenson.pdf).
  • Wittig, A. E., N. Anderson, A. Y. Khlystov, S. N. Pandis, C. Davidson, and A. L. Robinson (2004), Pittsburgh air quality study overview, Atmos. Environ., 38, 31073125.
  • Zhang, Y., B. Pun, K. Vijayaraghavan, S.-Y. Wu, C. Seigneur, S. N. Pandis, M. Z. Jacobson, A. Nenes, and J. H. Seinfeld (2004), Development and application of the Model of Aerosol Dynamics, Reaction, Ionization, and Dissolution (MADRID), J. Geophys. Res., 109, D01202, doi:10.1029/2003JD003501.