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John S. Irwin, William B. Petersen, and Steven C. Howard

B. L. Sawford , 2005b : Micromixing modelling of mean and fluctuating scalar fields in the convective boundary layer. Atmos. Environ. , 39 , 6673 – 6685 . Petersen , W. B. , and L. G. Lavdas , 1986 : INPUFF 2.0–A multiple source Gaussian puff dispersion algorithm user’s guide. Atmospheric Sciences Research Laboratory, U.S. Environmental Protection Agency, EPA/600-8-86-024, 105 pp . Ramsdell , J. V. , and W. T. Hinds , 1971 : Concentration fluctuations and peak

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Francis S. Binkowski, Saravanan Arunachalam, Zachariah Adelman, and Joseph P. Pinto

computed from the latest published values from Sander et al. (2003) , the International Union of Pure and Applied Chemistry (IUPAC; online at http://www.iupac-kinetic.ch.cam.ac.uk ), or from the JPROC files for each species using the algorithm presented by Wild et al. (2000) for a weighted average over each of the seven intervals. This method weights the absorption cross sections and quantum yields at each individual tabulated wavelength value within the wavelength range of each interval with the

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Armin Aulinger, Volker Matthias, and Markus Quante

over larger areas in a relevant manner. The input meteorological fields were computed with the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (NCAR) Mesoscale Model (MM5) ( Grell et al. 1995 ) using sophisticated algorithms for the representation of cloud microphysics [Reisner scheme, including graupel ( Reisner et al. 1998 )], subgrid cloud parameterization [Kain–Fritsch-2 scheme, including shallow convection ( Kain and Fritsch 1993 ; Kain 2004

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Ho-Chun Huang, Xin-Zhong Liang, Kenneth E. Kunkel, Michael Caughey, and Allen Williams

simulation. The EM adopted for this study is the Sparse Matrix Operator Kernel Emissions (SMOKE) modeling system ( Houyoux et al. 2000 ) that processes the U.S. Environmental Protection Agency (USEPA) National Emission Inventory (NEI). It computes gridded, temporalized, speciated emissions in the following four data categories: point, area, mobile, and biogenic. A plume rise algorithm partitions stack emissions as a function of height using the NEI stack parameters and time-dependent RCM meteorological

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M. Talat Odman, Yongtao Hu, Alper Unal, Armistead G. Russell, and James W. Boylan

: Development of a comprehensive multiscale “one atmosphere” modeling system: Application to the southern Appalachian Mountains. Atmos. Environ. , 36 , 3721 – 3734 . Boylan , J. W. , M. T. Odman , J. G. Wilkinson , and A. G. Russell , 2006 : Integrated assessment modeling of atmospheric pollutants in the Southern Appalachian Mountains: Part II—PM 2.5 and visibility. J. Air Waste Manage. Assoc. , 56 , 12 – 22 . Byun , D. W. , and J. K. S. Ching , 1999 : Science algorithms of the

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C. Hogrefe, W. Hao, K. Civerolo, J.-Y. Ku, G. Sistla, R. S. Gaza, L. Sedefian, K. Schere, A. Gilliland, and R. Mathur

. J. Geophys. Res. , 108 . 4183, doi:10.1029/2001JD001409 . Black , T. , 1994 : The new NMC mesoscale Eta Model: Description and forecast examples. Wea. Forecasting , 9 , 265 – 278 . Byun , D. W. , and K. L. Schere , 2006 : Review of the governing equations, computational algorithms, and other components of the Models-3 Community Multiscale Air Quality (CMAQ) modeling system. Appl. Mech. Rev. , 59 , 51 – 77 . Cai , C. , 2006 : Implementation and performance evaluation of an

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Steven R. Hanna, Robert Paine, David Heinold, Elizabeth Kintigh, and Dan Baker

Uncertainty in Models and Inputs . Plenum, 335 pp . Draxler , R. R. , 1984 : Diffusion and transport experiments. Atmospheric Science and Power Production, D. Anderson, Ed., U.S. Department of Energy, 367–422 . EPA , 1995 : Description of model algorithms. Vol. II, User’s Guide for the Industrial Source Complex (ISC3) Dispersion Model, revised ed., EPA-454/b-95-003b, 120 pp . EPA , 2000 : National Air Toxics Program: The integrated urban strategy EPA-453/R-99-007. OAQPS/EPA, 156 pp . EPA

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