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Community Multiscale Air Quality Modeling System (CMAQ)

CMAQ Publications and Peer Review

Publications

Peer-reviewed research that supports or uses CMAQ is documented here.


  • Publications by CMAQ team members: Find references to the science in CMAQ

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    2018
     

    Campbell, P., Zhang, Y., Yan, F., Lu, Z., Streets, D. (2018). Impacts of transportation sector emissions on future U.S. air quality in a changing climate. Part I: projected emissions, simulation design, and model evaluation. Environmental Pollution, 238, 903-917. doi: https://doi.org/10.1016/j.envpol.2018.04.020.

    Iiames J, Cooter E, Schwede D, Williams J. (2018) A comparison of simulated and field-driven Leaf Area Index (LAI) and canopy height values from four forest complexes in the Southeastern USA. Forests, doi: https://doi.org/10.3390/f9010026.

    Kelly J, Parworth C, Zhang Q, Miller D, Sun K, Zondlo M, Baker K, Wisthaler A, Nowak J, Pusede S, Cohen R, Weinheimer A, Beyersdorf A, Tonnesen G, Bash J, Valin L, Crawford J, Fried A, and Walega J. (2018) Modeling NH4NO3 over the San Joaquin Valley during the 2013 Discover-AQ campaign. Journal of Geophysical Research-Atmospheres, doi: https://doi.org/10.1029/2018JD028290.

    Mathur R, Xing J, Gilliam R, Sarwar G, Hogrefe C, Pleim J, Pouliot G, Roselle S, Spero TL, Wong DC, Young J. (2017) Extending the Community Multiscale Air Quality (CMAQ) modeling system to hemispheric scales: overview of process considerations and initial applications. Atmospheric Chemistry & Physics, doi: https://www.atmos-chem-phys.net/17/12449/2017/.

    Matichuk R, Tonnesen G, Luecken D, Gilliam R, Napelenok S, Baker K, Schwede D, Murphy B, Helmig D, Lyman S, Brown S, Roselle S. (2017) Evaluation of the Community Multiscale Air Quality (CMAQ) model for simulating winter ozone formations in the Uinta Basin. Journal of Geophysical Research – Atmospheres, doi: https://doi.org/10.1002/2017JD027057 DEC 27 2017

    Muntildeiz-Unamunzaga, M., Borge, R., Sarwar, G., Gantt, B., de la Paz, D., Cuevas, C., Saiz-Lopez, A., 2017. The influence of ocean halogen and sulfur emissions in the air quality of a coastal megacity: the case of Los Angeles. Science of the Total Environment, doi: 10.1016/j.scitotenv/2017.06.098

    Pye, H., Zuend, A., Fry, J., Isaacman-VanWertz, G., Capps, S., Appel, K., Foroutan, H., Xu, Lu., Ng, Nga.,Goldstein, A. (2018). Coupling of organic and inorganic aerosol systems and the effect on gas - particle partitioning in the southeaster US. Atmospheric Chemistry & Physics. doi: https://doi.org/10.5194/acp-18-357-2018

    Vennam, L., Vizuete, W., Talgo, K., Omary, M., Binkowski, F., Xing, J., Mathur, R. (2018) Modeled full-flight aircraft emissions impacts on air quality and their sensitivity to grid resolution. Journal of Geophysical Research - Atmospheres. doi: https://doi.org/0.1002/2017JD026598 DEC 27

    Zhang YQ, Smith SJ, Bowden JH, Adelman Z, West JJ. (2017) Co-benefits of global, domestic, and sectoral greenhouse gas mitigation for US air quality and human health in 2050. Environmental Research Letters, doi: https://doi.org/10.1088/1748-9326/aa8f76.

    Zhang HF, Yee LD, Lee BH, Curtis MP, Worton DR, Isaacman-VanWertz G, Offenberg JH, Lewandowski M, Kleindienst TE, Beaver MR, Holder AL, Lonneman WA, Docherty KS, Jaoui M, Pye HOT, Hu WW, Day DA, Campuzano-Jost P, Jimenez JL, Guo HY, Weber RJ, de Gouw J, Koss AR, Edgerton ES, Brune W, Mohr C, Lopez-Hilfiker FD, Lutz A, Kreisberg NM, Spielman SR, Hering SV, Wilson KR, Thornton JA, Goldstein AH. (2018) Monoterpenes are the largest source of summertime organic aerosol in the southeastern United States. Proceedings of the national Academy of Sciences of the United States of America, doi: https://doi.org/10.1073/pnas.1717513115

    2017

    Appel, K.W., Napelenok, S.L., Foley, K.M., Pye, H.O.T., Hogrefe, C., Luecken, D.J., Bash, J.O., Roselle, S.J., Pleim, J.E., Foroutan, H., Hutzell, W.T., Pouliot, G.A., Sarwar, G., Fahey, K.M., Gantt, B., Gilliam, R.C., Heath, N.K., Kang, D.W., Mathur, R., Schwede, D.B., Spero, T.L., Wong, D.C., & Young, J.O. (2017). Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development, 10(4), 1703-1732. doi: 10.5194/gmd-10-1703-2017

    Appel, K.W., Napelenok, S.L., Hogrefe, C., Foley, K.M., Pouliot, G.A., Murphy, B., Heath, N., Roselle, S., Pleim, J., Bash, J.O., Pye, H.O.T., Mathur, R. (2017). Overview and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.2. Air Pollution Modeling and its Application XXV, 11:63-72. ITM 2016. Springer Proceedings in Complexity. Springer, Cham, doi: 10.1007/978-3-319-57645-9_11.

    Astitha, M., Luo, H.Y., Rao, S.T., Hogrefe, C., Mathur, R., & Kumar, N. (2017). Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States.  Atmospheric Environment, 164. doi: 10.1016/j.atmosenv.2017.05.020 

    Baker, K.R. & Woody, M.C. (2017). Assessing model characterization of single source secondary pollutant impacts using 2013 SENEX field study measurements. Environmental Science & Technology, 51(7), 3833–3842. doi: 10.1021/acs.est.6b05069

    Baklanov, A., Brunner, D., Carmichael, G., Flemming, J., Freitas, S., Gauss, M., Hov, Ø., Mathur, R., Schlünzen, K.H., Seigneur, C., Vogel, B. (2017). Key issues for seamless integrated chemistry-meteorology modeling. Bulletin of the American Meteorological Society. doi: 10.1175/BAMS-D-15-00166.1

    Budisulistiorini, S., Nenes, A., Grover Carlton, A.M., Surratt, J.D., McNeill, V.F., & Pye, H.O.T. (2017).  Simulating aqueous-phase isoprene-epoxydiol (IEPOX) secondary organic aerosol production during the 2013 Southern Oxidant and Aerosol Study (SOAS). Environmental Science & Technology, 51(9),  5026–5034. doi: 10.1021/acs.est.6b05750

    Chang, S.Y., Vizuete, W., Serre, M., Vennam, L.P., Omary, M., Isakov, V., Breen, M., Arunachalam, S. (2017). Finely resolved on-road PM2.5 and estimated premature mortality in central North Carolina. Risk Analysis, 37: 2420-2434. doi: 10.1111/risa.12775.

    Cooter, E., Dodder, R., Bash, J., Elobeid, A., Ran, L., Benson, V., Yuang, D. (2017). Exploring a United States maize cellulose biofuel scenario using an integrated energy and agricultrual markets solution approach. Annals of Agricultural & Crop Sciences, 2(2): 1031.

    Dionisio, K., Nolte, C., Spero, T., Graham, S., Caraway, N., Foley, K., & Isaacs, K. (2017). Characterizing the impact of projected changes in climate and air quality on human exposures to ozone. Journal of Exposure Science and Environmental Epidemiology, 27, 260-270. doi: 10.1038/jes.2016.81

    Fahey, K.M., Carlton, A.G., Pye, H.O.T., Baek, J., Hutzell, W.T., Stanier, C.O., Baker, K.R., Appel, K.W., Jaoui, M., & Offenberg, J.H. (2017). A framework for expanding aqueous chemistry in the Community Multiscale Air Quality (CMAQ) model version 5.1. Geoscientific Model Development, 10, 1587-1605. doi: 10.5194/gmd-10-1587-2017

    Fann, N., Alman, B., Broome, R., Morgan, G., Johnson, F., Pouliot, G., Rappold, A. (2017). The health impacts and economic value of wildland fire episodes in the U.S.: 2008-2012. Science of the Total Environment. doi: 10.1016/j.scitotenv.2017.08.024

    Foroutan, H., Young, J., Napelenok, S., Ran, L., Appel, K.W., Pleim, J. (2017). Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system. Journal of Advances in Modeling Earth Systems, 9, doi: 10.1002/2016MS000823.

    Galmarini, S., Koffi, B., Dentener, F., Keating, T., Hogrefe, C., Schulz, M., Benedictow, A., Griesfeller, J.J., Janssens-Maenhout, G., Carmichael, G., Fu, J., & Dentener, F. (2017). Technical note: Coordination and harmonization of the multi-scale, multi-model activities HTAP2, AQMEII3, and MICS-Asia3: simulations, emission inventories, boundary conditions, and model output formats. Atmospheric Chemistry and Physics, 17, 1543-1555. doi: 10.5194/acp-17-1543-2017

    Gantt, B., Sarwar, G., Xing, J., Simon, H., Schwede D., Hutzell, W.T., Mathur, R., & Saiz-Lopez, Alfonso. (2017). The impact of iodide-mediated ozone deposition and halogen chemistry on surface ozone concentrations across the continental United States. Environmental Science & Technology, 51(3), 1458-1466. doi: 10.1021/acs.est.6b03556

    Garcia, V., Cooter, E., Crooks, J., Hinkley, B., Murphy, M., & Xing, X. (2017). Examining the impacts of increased corn production on groundwater quality using a coupled modeling system. Science of the Total Environment, 586, 16-24. doi: 10.1016/j.scitotenv.2017.02.009

    Hogrefe, C., Roselle, S.J., & Bash, J.O. (2017). Persistence of initial conditions in continental scale air quality simulations. Atmospheric Environment, 160, 36-45. doi: 10.1016/j.atmosenv.2017.04.009

    Li, P., Wang, L., Guo, P., Yu, S., Mehmood, K., Wang, S., Liu, W., Seinfeld, J., Zhang, Y., Wong, D., Alapaty, K., Pleim, J., and Mathur, R. (2017). High reduction of ozone and particulate matter during the 2016 G-20 summit in Hangzhou by forced emission controls of industry and traffic. Environmental Chemistry Letters. doi: 10.1007/s10311-017-0642-2

    Jathar, S.H., Woody, M., Pye, H.O.T., Baker, K.R., & Robinson, A.L. (2017). Chemical transport model simulations of organic aerosol in southern California: model evaluation and gasoline and diesel source contributions. Atmospheric Chemistry and Physics, 17(6), 4305-4318. doi: 10.5194/acp-17-4305-2017

    Mathur, R., Kang, D., Napelenok, S., Xing, J., Hogrefe, C. (2017). A modeling sudy of the influence of hemispheric transport on trends in 03 distributions over North America. Air Pollution Modeling and its Application XXV. doi: 10.1007.978-3-319-57645-9 2

    Mathur, R., Xing, J., Gilliam, R., Sarwar, G., Hogrefe, C., Pleim, J., Pouliot, G., Roselle, S., Spero, T.L., Wong, D.C., Young, J. (2017). Extending the Community Multiscale Air Quality (CMAQ) modeling system to hemispheric scales: overview of process considerations and initial applications. Atmospheric Chemistry & Physics. doi: https:www.atmos-chem-phys.net/17/12449/2017/

    Matichuk, R., Tonnesen, G., Luecken, D., Gilliam, R., Napelenok, S., Baker, K., Schwede, D., Murphy, B., Helmig, D., Lyman, S., Brown, S., Roselle, S. (2017). Evaluation of the Community Mulitscale Air Quality (CMAQ) model for simulating winter ozone formations in the Uinta Basin. Journal of Geophysical Research - Atmospheres. doi: 10.1002/2017JD027057 DEC 27 2017

    McCrackin, M.L., Cooter, E.J., Dennis, R.L., Harrison, J.A., & Compton, J.E. (2017). Alternative futures of dissolved inorganic nitrogen export from the Mississippi River Basin: influence of crop management, atmospheric deposition, and population growth. Biogeochemistry, 133(3), 263–277. doi: 10.1007/s10533-017-0331-z

    Ng, H.L., Brown, S.S., Archibald, A.T., Atlas, E., Cohen, R.C., ... , & Zaveri, R.A. (2017). Nitrate radicals and biogenic volatile organic compounds: oxidation, mechanisms and organic aerosol. Atmospheric Chemistry and Physics, 17, 2103–2162. doi: 10.5194/acp-17-2103-2017

    Penn, S.L., Arunachalam, S., Woody, M., Heiger-Bernays, W., Tripodis, Y., & Levy, J.L. (2017). Estimating state-specific contributions to PM2.5 and O3 related health burden from residential combustion and electricity generating unit emissions in the United States. Environmental Health Perspectives, 125(3), 324-332. doi: 10.1289/EHP550

    Porter, P.S., Rao, S.T., Hogrefe, C., & Mathur, R. (2017). A reduced form model for ozone based on two decades of CMAQ simulations for the continental United States. Atmospheric Pollution Research, 8(2), 275-284. doi: 10.1016/j.apr.2016.09.005

    Pye, H.O.T., Murphy, B.N., Xu, L., Ng, N.L., Carlton, A.G., Guo, H., Weber, R., Vasilakos, P., Appel, K.W., Budisulistiorini, S.H., Surratt, J.D., Nenes, A., Hu, W., Jimenez, J.L., Isaacman-VanWertz, G., Misztal, P.K., & Goldstein, A.H. (2017). On the implications of aerosol liquid water and phase separation for organic aerosol mass. Atmos. Chem. Phys., 17, 343-369. doi: 10.5194/acp-17-343-2017

    Ran, L., Pleim, J., Song, C., Band, L., Walker, J.T., & Binkowski, F.S. (2017). A photosynthesis-based two-leaf canopy stomatal conductance model for meteorology and air quality modeling with WRF/CMAQ PX LSM. Journal of Geophysical Research Atmospheres. doi: 10.1002/2016JD025583

    Rappold, A., Reyes, J., Pouliot, G., Cascio, W., Diaz-Sanchez, D. (2017). Community vulnerability to health impacts from wildland fire smoke exposure. Environmental Science & Technology. doi: 10.1021/acs.est.6b06200

    Sarwar, G., Xing, J., Fahey, K., Wong, D., Mathur, R., Gan, C., Gantt, B., Simon, H., and Kang, D. (2017). Dimethylsulfide chemistry: annual, seasonal, and spatial impacts on sulfate. Air Pollution Modeling and its Application XXV. doi: 10.1007/978-3-319-57645-9 55

    Solazzo, E., Bianconi, R., Hogrefe, C., Curci, G., Tuccella, P., … , & Galmarini, S. Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown. Atmospheric Chemistry and Physics, 17(4), 3001-3054. doi: 10.5194/acp-17-3001-2017

    Solazzo, E., Hogrefe, C., Colette, A., Garcia-Vivanco, M., and Galmarini, S. (2017). Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework. Atmospheric Chemistry and Physics. doi: 10.5197/acp-17-10435-2017

    Wang, J., Xing, J., Mathur, R., Pleim, J.E., Wang S., Hogrefe, C., Gan, C.M., Wong, D.C., & Hao, J.M. (2017). Historical trends in PM2.5-related premature mortality during 1990-2010 across the Northern Hemisphere. Environmental Health Perspectives, 125(3), 400-408. doi: 10.1289/EHP298

    Wilson, A., Reich, B. J., Nolte, C. G., Spero, T. L., Hubbell, B., & Rappold, A. G. (2017). Climate change impacts on projections of excess mortality at 2030 using spatially varying ozone-temperature risk surfaces.  Journal of Exposure Science & Environmental Epidemiology, 27, 118-124.  doi:10.1038/jes.2016.14

    Wong, D., Wang, Q., Kwok, R., Wu, J., and Fu, Q., (2017). O3 source contribution during a heavy 03 pollution episode in Shanghai, China. Air Pollution Modeling and its Application XXV. doi: 10.1007/978-3-319-57645-9 67.

    Zhang, Y.Q., Smith, S.J., Bowden, J.H., Adelman, Z., West, J.J. (2017) Co-benefits of global, domestic, and sectoral greenhouse gas mitigation for US air quality and human health in 2050. Environmental Research Letters. doi: 10.1088/1748-9326/aa8f76

    2016

    Arunachalam, S., Woody, M., Omary, M., Penn, S., Chung, S., Woo, M., Tambouret, Y., & Levy, J. (2016). Modeling the air quality and public health benefits of increased residential insulation in the United States. Air Pollution Modeling and its Application XXIV, 135-140. doi: 10.1007/978-3-319-24478-5_22

    Baker, K., Woody, M., Tonnesen, G., Hutzell, B., Pye, H., Beaver, M., Pouliot, G., & Pierce, T. (2016). Contribution of regional-scale fire events to ozone and PM2.5 air quality estimated by photochemical modeling approaches. Atmospheric Environment, 140, 539-554. doi: 10.1016/j.atmosenv.2016.06.032

    Bash, J., Baker, K., & Beaver, M. (2016). Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California. Geoscientific Model Development, 9, 2191-2207. doi: 10.5194/gmd-9-2191-2016

    Fann, N., Brennan, T., Dolwick, P., Gamble, J. L., Ilaqua, V., Kolb, L., Nolte, C. G., Spero, T. L., & Ziska, L. (2016). Ch. 3: Air Quality Impacts. The Impacts of Climate Change on Human Health in the United States:  A Scientific Assessment.  U.S. Global Change Research Program, Washington, DC, 69-98. doi:10.7930/JOGQ6VP6.

    Farkas, C.M., Moeller, M.D., Felder, F.A., Henderson,B.H., & Carlton, A.G. (2016). High electricity demand in the Northeast US: PJM reliability network and peaking unit impacts on air quality. Environmental Science and Technology, 50(15), 8375-8384. doi: 10.1021/acs.est.6b01697

    Gan, C. M., Hogrefe, C., Mathur, R., Pleim, J., Xing, J., Wong, D-C., Gilliam, R., Pouliot, G., & Wei, C. (2016).  Assessment of the effects of horizontal grid resolution on long-term air quality trends using coupled WRF-CMAQ simulations. Atmospheric Environment, 132, 207-216. doi: 10.1016/j.atmosenv.2016.02.036

    Garcia, V., Cooter, E., Crooks, J., Hayes, B., Hinckley, B., Murphy, M., Wade, T., & Xing, X. (2016). Using a coupled modelling system to examine the impacts of increased corn production on groundwater quality and human health. Air Pollution Modeling and its Application XXIV, 113-117. doi: 10.1007/978-3-319-24478-5_18

    Hang, J., Lin, M., Wong, D.C., Wang, X., Wang, B., Buccolieri, R. & 2016. On the influence of viaduct and ground heating on pollutant dispersion in 2D street canyons and toward single-sided ventilated buildings. Atmospheric Pollution Research, 7(5), 817-832). doi: 10.1016/j.apr.2016.04.009

    Heath, N., Pleim, J.E., Gilliam, R.C., & Kang, D. (2016). A simple lightning assimilation technique for improving retrospective WRF simulations. Journal of Advances in Modeling Earth Systems, 8, 1806-1824. doi: 10.1002/2016MS000735

    Hogrefe, C., Pouliot, G., Xing, J., Flemming, J., Roselle, S., Mathur, R., & Galmarini, S. (2016). Global and regional modeling of long-range transport and intercontinental source-receptor linkages. Air Pollution Modeling and its Application XXICV, 245-250. doi: 10.1007/978-3-319-24478-5_40

    Kelly, J., Baker, K., Nolte, C., Napelenok, S., Keene, W., & Pszenny, A. (2016). Simulating the phase partitioning of NH3, HNO3, and HCl with size-resolved particles over northern Colorado in winter. Atmospheric Environment, 131: 67-77. doi: 10.1016/j.atmosenv.2016.01.049

    Kioutsioukis, I., Im, U., Solazzo, E., Bianconi, R., Badia, A., ... , & Galmarini, S. (2016). Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data. Atmospheric Chemistry and Physics, 16, 15629-15652. doi: 10.5194/acp-16-15629-2016

    Li, Y., Schichtel, B., Walker, J., Schwede, D., Chen, X., Lehmann, C.M.B., … , & Collett Jr, J.L. (2016). Increasing importance of deposition of reduced nitrogen in the United States. PNAS, 113(21), 5876-5879. doi: 10.1073/pnas.1525736113

    Marais, E.A., Jacob, D.J., Jimenez, J.L., Campuzano-Jost, P., Day, D.A., Hu, W., … , & McNeill, V.F. (2016.) Aqueous-phase mechanism for secondary organic aerosol formation from isoprene: application to the southeast United States and co-benefit of SO2 emission controls. Atmospheric Chemistry and Physics, 16, 1603-1618. doi: 10.5194/acp-16-1603-2016

    Mathur, R., Xing, J., Napelenok, S., Pleim, J., Hogrefe, C., Wong, D., Gan, C. M., & Kang, D. W. (2016). Multiscale modeling of multi-decadal trends in ozone and precursor species across the Northern Hemisphere and the United States. Air Pollution Modeling and its Application XXIV, 239-243. doi: 10.1007/978-3-319-24478-5_39

    Napelenok, S. L. & Luecken, D. (2016). Sensitivity-based VOC reactivity calculation. Air Pollution Modeling and its Application XXIV, 233-237. doi: 10.1007/978-3-319-24478-5_38

    Nowlan, C., Lu, X., Leitch, J., Chance, K., González Abad, G., Lu, C., … Al-Saadi. (2016). Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013. Atmospheric Measurement Techniques, 9(6), 2647-2668. doi: 10.5194/amt-9-2647-2016

    Pleim, J., Gilliam, R., Appel, W., & Ran, L. (2016). Recent advances in modeling of the atmospheric boundary layer and land surface in the coupled WRF-CMAQ Model. Air Pollution Modeling and its Application XXIV, 391-396. doi: 10.1007/978-3-319-24478-5_64

    Porter, P.S., Rao, S. T., Hogrefe, C., Gego, E., & Mathur, R. (2016). Metamodels for Ozone: Comparison of Three Estimation Techniques. Air Pollution Modeling and its Application, 537-542. doi: 10.1007/978-3-319-24478-5_86

    Pouliot, G., Rao, V., McCarty, J.L., Soja, A. (2016). Development of the crop residue and rangeland burning in the 2014 National Emissions Inventory using information from multiple sources. Journal of the Air and Waste Management Association, 67(5), 613-622. doi: 10.1080/10962247.2016.1268982

    Ran, L. M., Pleim, J., Gilliam, R., Hogrefe, C., Binkowski, F., & Band, L. (2016). Application and Evaluation of MODIS LAI, FPAR, and Albedo Products in the WRF/CMAQ System. Air Pollution Modeling and its Application XXIV, 619-624. doi: 10.1007/978-3-319-24478-5_100

    Rasool, Q. Z., Zhang, R., Lash, B., Cohan, D. S., Cooter, E. J., Bash, J. O., & Lamsal, L. N. (2016). Geoscientific Model Development, 9(9), 3177-3197. doi: 10.5194/gmd-9-3177-2016

    Sarwar, G., Kang, D., Foley, K., Schwede, D., Gantt, B., & Mathur, R. (2016). Technical note: Examining ozone deposition over seawater. Atmospheric Environment, 141, 255-262. doi: 10.1016/j.atmosenv.2016.06.072

    Seltzer, K., Nolte, C., Spero, T., Appel, K.W., & Xing, J. (2016). Evaluation of near surface ozone and particulate matter in air quality simulations driven by dynamically downscaled historical meteorological fields. Atmospheric Environment, 138, 42-54. doi: 10.1016/j.atmosenv.2016.05.010

    Spero, T., Nolte, C., Bowden, J., Mallard, M., & Herwehe, J. (2016). The impact of incongruous lake temperatures on regional climate extremes downscaled from the CMIP5 archive using the WRF model. J. Clim., 29(2), 839-853. doi: 10.1175/jcli-d-15-0233.1

    Wong, D. C., Cai, C. X., Pleim, J., Mathur, R., & Murphy, M. S. (2016). Validation of the WRF-CMAQ Two-Way Model with Aircraft Data and High Resolution MODIS Data in the CA 2008 Wildfire Case. Air Pollution Modeling and its Application XXIV, 531-535. doi: 10.1007/978-3-319-24478-5_85

    Woody, M., Baker, K., Hayes, P., Jimenez, J., Koo, B., & Pye, H. (2016). Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS. Atmospheric Chemistry and Physics, 16, 4081-4100. doi: 10.5194/acp-16-4081-2016

    Woody, M., Wong, H.W., West, J.J., Arunachalam, S. (2016). Multiscale predictions of aviation attributatable PM2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft specific 1-D emission model. Atmospheric Environment. doi: 10.1016/j.atmosenv.2016.10.016

    Xing, J., Mathur, R., Pleim, J., Hogrefe, C., Wang, J.D., Gan, C.M., Sarwar, G., Wong, D.C., & McKeen, S. (2016). Representing the effects of stratosphere-troposphere exchange on 3-D O3 distributions in chemistry transport models using a potential vorticity-based parameterization. Atmospheric Chemistry and Physics, 16, 10865-10877. doi: 10.5194/acp-16-10865-2016

    Xing, J., Wang, J.D., Mathur, R., Pleim, J., Wang, S.X., Hogrefe, C., Gan, C.M., Wong, D.C., & Hao, J.M. (2016). Unexpected benefits of reducing aerosol cooling effects. Environmental Science and Technology, 50(14), 7527-7534. doi: 10.1021/acs.est.6b00767

    Zheng, Y., Alapaty, K., Herwehe, J., Del Genio, A., & Niyogi, D. (2016). Improving high-resolution weather forecasts using the Weather Research and Forecasting (WRF) model with an updated Kain-Fritsch scheme. Mon. Weather Rev., 144(3), 833-860. doi: 10.1175/mwr-d-15-0005.1

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    2015

    Baker, K., Carlton, A., Keindienst, T., Offenberg, J., Beaver, M., Gentner, D., … Surrat, J. (2015).  Gas and aerosol carbon in California: comparison of measurements and model predictions in Pasadena and Bakersfield. Atmospheric Chemistry and Physics, 15, 5243-5258. doi: 10.5194/acp-15-5243-2015

    Bash, J.O., Walker, J.T., Shephard, M.W., Cady-Pereira, K., Henze, D.K., Schwede, D.B., Zhu, L., & Cooter, E.J. (2015). Modeling reactive nitrogen in North America: recent developments, observational needs, and future directions. Environmental Manager: Air and Waste Management Association, Pittsburgh, PA, 36-42.

    Butler, T., Marino, R., Schwede, D., Howarth, R., Sparks, J., & Sparks, K. (2015). Atmospheric ammonia measurements at low concentration sites in the northeastern USA: implications for total nitrogen deposition and comparison with CMAQ estimates. Biogeochemistry, 122(2), 191-210. doi: 10.1007/s10533-014-0036-5

    Fann, N., Nolte, C. G., Dolwick, P., Spero, T. L., Curry Brown, A., Phillips, S., & Anenberg, S. (2015). The geographic distribution and economic value of climate change-related ozone health impacts in the United States in 2030.  J. Air & Waste Manage. Assoc., 65(5), 570-580. doi:10.1080/10962247.2014.996270.

    Farkas, C. M., Moeller, M. D., Felder, F. A., Baker, K. R., Rodgers, M., & Carlton, A. G. (2015). Temporalization of peak electric generation particulate matter emissions during high energy demand days. Environmental Science & Technology, 49(7), 4696-4704. doi: 10.1021/es5050248

    Foley, K., Dolwick, P., Hogrefe, C., Simon, H., Timin, B., & Possiel, N. (2015). Dynamic evaluation of CMAQ Part II: Evaluation of relative response factor metrics for ozone attainment demonstrations. Atmospheric Environment, 103, 188-195. doi: 10.1016/j.atmosenv.2014.12.039

    Foley, K., Hogrefe, C., Pouliot, G., Possiel, N., Roselle, S., Simon, H., & Timin, B. (2015). Dynamic evaluation of CMAQ part I: Separating the effects of changing emissions and changing meteorology on ozone levels between 2002 and 2005 in the eastern US. Atmospheric Environment, 103, 247-255. doi: 10.1016/j.atmosenv.2014.12.038

    Gan, C., Binkowski, F., Pleim, J., Xing, J., Wong, D-C., Mathur, R., & Gilliam, R. (2015). Assessment of the Aerosol Optics Component of the Coupled WRF-CMAQ Model usingCARES Field Campaign data and a Single Column Model. Atmospheric Environment, 115, 670-682. doi: 10.1016/j.atmosenv.2014.11.028

    Gan, C., Pleim, J., Mathur, R., Hogrefe, C., Long, C., Xing, J., Wong, D-C., Gilliam, R., & Wei, C. (2015). Assessment of long-term WRF–CMAQ simulations for understanding direct aerosol effects on radiation "brightening" in the United States. Atmospheric Chemistry and Physics, 15, 12193-12209. doi: 10.5194/acp-15-12193-2015

    Gantt, B., Kelly, J., & Bash, J. (2015).  Updating sea spray aerosol emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2. Geoscientific Model Development, 8, 3733-3746. doi: 10.5194/gmd-8-3733-2015

    Gilliam, R., Hogrefe, C., Godowitch, J., Napelenok, S., Mathur, R., & Rao, S. (2015). Impact of inherent meteorology uncertainty on air quality model predictions. Journal of Geophysical Research-Atmospheres, 120(23), 12259-12280. doi: 10.1002/2015JD023674

    Godowitch, J., Gilliam, R., & Roselle, S. (2015). Investigating the impact on modeled ozone concentrations using meteorological fields from WRF With and updated four-dimensional data assimilation approach. Atmospheric Pollution Research, 6(2), 305-311. doi: 10.5094/APR.2015.034

    Gonzalez-Abraham, R., Chung, S., Avise, J., Lamb, B., Salathe, E., Nolte, C., … Streets, D. (2015).  The effects of global change upon United States air quality. Atmospheric Chemistry and Physics Discussions, 15, 12645-12665. doi: 10.5194/acp-15-12645-2015

    Hayes, P., Carlton, A., Baker, K., Ahmadov, R., Washenfelder, R., Alvarez, S., … Jimenez, J. (2015). Modeling the formation and aging of secondary organic aerosols in Los Angeles during CalNex 2010. Atmospheric Chemistry and Physics, 15(10), 5325-5826. doi: 10.5194/acp-15-5773-2015

    Hogrefe, C., Pouliot, G., Wong, D-C., Torian, A., Roselle, S., Pleim, J., Mathur, R. (2015). Annual application and evaluation of the online coupled WRF‐CMAQ system over North America under AQMEII Phase 2. Atmospheric Environment, 115, 683-694. doi: 10.1016/j.atmosenv.2014.12.034

    Jones, R., Hogrefe, C., Fitzgerald, E., Hwang, S., Ozkaynak, H., Garcia, V., & Shao, L. (2015). Respiratory hospitalizations in association with fine PM and its components in New York State. Journal of the Air & Waste Management Association, 65(5), 559-569. doi: 10.1080/10962247.2014.1001500

    Kwok, R., Baker, K., Napelenok, S., & Tonnesen, G. (2015). Photochemical grid model implementation and application of VOC, NOx, and O3 source apportionment. Geoscientific Model Development, 8, 99-114. doi: 10.5194/gmd-8-99-2015

    Nolte, C., Appel, K.W., Kelly J., Bhave, P., Fahey, K., Collett Jr, J., Zhang, L., & Young, J. (2015). Evaluation of the Community Multiscale Air Quality (CMAQ) modeling system against size-resolved measurements of inorganic particle composition across sites in North America. Geoscientific Model Development, 8(9), 2877-2892. doi: 10.5194/gmd-8-2877-2015

    Pye, H.O.T., Luecken, D.J., Xu, L., Boyd, C.M., Ng, N.L., Baker, K., Ayres, B.A., Bash, J.O., Baumann, K., Carter, W.P.L., Edgerton, E., Fry, J.L., Hutzell, W.T., Schwede, D., Shepson, P.B. (2015). Modeling the current and future roles of particulate organic nitrates in the southeastern United States. Environ. Sci. Technol., 49(25), 14195–14203. doi: 10.1021/acs.est.5b03738

    Ran, L., Pleim, J., Gilliam, R., Binkowski, F., Hogrefe, C., & Band, L. (2016).  Improved meteorology from an updated WRF/CMAQ modeling system with MODIS vegetation and albedo. Journal of Geophysical Research-Atmospheres, 121(5), 2393-2415. doi: 10.1002/2015JD024406

    Turner, M., Henze, D., Hakami, A., Zhao, S., Resler, G., Carmichael, C., … Chai, T. (2015). Differences between magnitudes and health impacts of BC emissions across the United States using 12 km scale seasonal source apportionment. Environmental Science & Technology, 49(7), 4362-4371. doi: 10.1021/es505968b

    Wong, D-C., Yang, C., Fu, J., Wong, K., & Gao, Y. (2015). An approach to enhance pnetCDF performance in environmental modeling applications. Geoscientific Model Development, 8, 1033-1046. doi: 10.5194/gmd-8-1033-2015

    Xing, J., Mathur, R., Pleim, J., Hogrefe, C., Gan, G., Wong, D-C., Wei, C., & Wang, J. (2015). Air pollution and climate response to aerosol direct radiative effects: A modeling study of decadal trends across the northern hemisphere. Journal f Geophysical Research-Atmospheres, 120(33), 12221-12236. doi: 10.1002/2015JD023933

    Xing, J., Mathur, R., Pleim, J., Hogrefe, C., Gan, C., Wong, D-C., & Wei, C. (2015). Can a coupled meteorology–chemistry model reproduce the historical trend in aerosol direct radiative effects over the Northern Hemisphere? Atmospheric Chemistry and Physics, 15, 9997-10018. doi: 10.5194/acp-15-9997-2015

    Xing, J., Mathur, R., Pleim, J., Hogrefe, C., Gan, C., Wong, D-C., Wei, C., Gilliam, R., & Pouliot, G. (2015). Observations and modeling of air quality trends over 1990-2010 across the northern hemisphere: China, the United States and Europe. Atmospheric Chemistry and Physics, 15(5), 2227-2914. doi: 10.5194/acp-15-2723-2015

    Zhu, L., Henze, D., Bash, J., Jeong,G.R., Cady-Pereira, K., … , & Capps, S. (2015). Global evaluation of ammonia bidirectional exchange and livestock diurnal variation schemes. Atmos. Chem. Phys., 15, 12823-12843. doi: 10.5194/acp-15-12823-2015.

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    2014

    Appel, K.W., Gilliam, R., Pleim, J., Pouliot, G., Wong, D-C., Hogrefe, C., Roselle, S., & Mathur, R. (2014). Improvements to the WRF-CMAQ modeling system for fine-scale air quality simulations. EM: Air and Waste Management Associations Magazine for Environmental Managers, 16-21.

    Bash, J., Carlton, A., Hutzell, B., & Bullock, R. (2014). Regional air quality model application of the aqueous-phase photo reduction of atmospheric oxidized mercury by dicarboxylic acids. Atmosphere, 5(1), 1-15. doi:10.3390/atmos5010001

    Crooks, J., & Ozkaynak, H. (2014). Simultaneous statistical bias correction of multiplePM2.5 species from a regional photochemical grid model. Atmospheric Environment, 95, 126-141. doi: 10.1016/j.atmosenv.2014.06.024

    Eder, B., Bash, J., Foley, K., & Pleim, J. (2014). Incorporating principal component analysis into air quality model evaluation. Atmospheric Environment, 82, 307-315. doi: 10.1016/j.atmosenv.2013.10.015

    Erdakos, G., Bhave, P., Pouliot, G., Simon, H., & Mathur, R. (2014). Predicting the effects of nano-scale cerium additives in diesel fuel on regional-scale air quality. Environmental Science & Technology, 48(21), 12475-13022. doi: 10.1021/es504050g

    Foley, K., Napelenok, S., Jang, C., Phillips, S., Hubbell, B., & Fulcher, C. (2014). Two reduced form air quality modeling techniques for rapidly calculating pollutant mitigation potential across many sources, locations and precursor emission types. Atmospheric Environment, 98, 283-289. doi: 10.1016/j.atmosenv.2014.08.046

    Gabriel, M., Knightes, C., Dennis, R., & Cooter, E. (2014). Potential impact of Clean Air Act regulations on nitrogen fate and transport in the Neuse River Basin: a modeling investigation using CMAQ and SWAT. Environmental Modeling and Assessment, 19(6), 451-465. doi: 10.1007/s10666-014-9410-x

    Henderson, B., Akhtar, F., Pye, H., Napelenok, S., & Hutzell, B. (2014). A database and tool for boundary conditions for regional air quality modeling: description and evaluation. Geoscientific Model Development, 7(1), 339-360. doi: 10.5194/gmd-7-339-2014

    Isakov, V., Arunachalam, S., Batterman, S., Bereznicki, S., Burke, J., Dionisio, K., … Vette, A. (2014).  Air quality modeling in support of the near-road exposures and effects of urban air pollutants study (NEXUS). International Journal of Environmental Research and Public Health, 11(9), 8777-8793. doi: 10.3390/ijerph110908777

    Karambelas, A., Pye, H., Budisulistiorini, S., Surratt, J., & Pinder, R. (2014). Contribution of isoprene epoxydiol to urban organic aerosol: evidence from modeling and measurements. Environmental Science & Technology Letters, 1(6), 278-283. doi: 10.1021/ez5001353

    Napelenok, S., Simon, H., Bhave, P., Pye, H., Pouliot, G., Sheesley, R., & Schauer, J. (2014). Diagnostic air quality model evaluation of source-specific primary and secondary fine particulate carbon. Environmental Science & Technology, 48(1), 464-473. doi: 10.1021/es403304w

    Napelenok, S., Vedantham, R., Bhave, P., Pouliot, G., & Kwok, R. (2014). Source-receptor reconciliation of fine-particulate emissions from residential wood combustion in the southeastern United States. Atmospheric Environment, 98, 454-460. doi: 10.1016/j.atmosenv.2014.09.021

    Reich, B., Chang, H., & Foley, K. (2014). A spectral method for spatial downscaling. Biometrics, 70, 932-942. doi: 10.1111/biom.12196

    Sacks, J., Rappold, A., Davis, J., Richardson, D.B., Waller, A.E., & Luben, T. (2014). Influence of urbanicity and county characteristics on the association between ozone and asthma emergency department visits in North Carolina. Environmental Health Perspectives, 122(5), 506-512. doi: 10.1289/ehp.1306940

    Schwede, D., & Lear, G. (2014).  A novel hybrid approach for estimating total deposition in the United States. Atmospheric Environment, 92, 207-220. doi: 10.1016/j.atmosenv.2014.04.008

    Yu, S., Mathur, R., Pleim, J., Wong, D-C., Gilliam, R., Alapaty, K., Zhao, C., & Liu, X. (2014). Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF-CMAQ: model description, development, evaluation and regional analysis. Atmospheric Chemistry and Physics, 14(20), 10911-11544. doi: 10.5194/acp-14-11247-2014

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  • Publications that use CMAQ: See how CMAQ is used by research groups worldwide

    The following links exit the site Exit

    2018

    Abel, D., Holloway, T., Harkey, M., Rrushaj, A., Brinkman, G., Duran, P., Janssesn, M., Denholm, P. (2018). Potential air quality benefits from increased solar photovoltaic electricity generation in the Eastern United States. Atmospheric Environment, 175, 65-74. doi: https://doi.org/10.1016.j.atmosenv.2017.11.049

    Baker, K.R., Woody, M., C., Valin, L., Szykman, J., Yates, E.L., Iraci, L.T., Choi, H.D., Soja, A., J., Koplitz, S.,N., Zhou, L., Campuzano-Jost, P., Jimenez, J.,L., Hair, J.W. (2018). Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data. Science of the Total Environment, 637-638, 1137-1149. doi: https://doi.org/10.1016/j.scitotenv.2018.05.048

    Benosa, G., Zhu, S., MacKinnon, M., Dabdub, D. (2018). Air quality impacts of implementing emission reduction strategies at southern California airports. Atmospheric Environment, 185, 121-127. doi: https://doi.org/10.1016/j.atmosenv.2018.04.048

    Borge, R., Santiago, J.L., De La Paz, D., Martin, F., Domingo, J., Valdes, C., Sanches, B., Rivas, E., Rozas, T., Lazaro, S., Perez, J., Fernandez, A. (2018). Application of a short term air quality action plan in Madrid (Spain) under a high-pollution episode - part II: assessment from multi-scale modelling. Science of the Total Environment, 635, 1574-1584. doi: https://doi.org/10.1016/j.scitotenv.2018.04.323

    Campbell, P., Zhang, Y., Yan, F., Lu, Z., Streets, D. (2018). Impacts of transportation sector emissions on future U.S. air quality in a changing climate. Part I: projected emissions, simulation design, and model evaluation. Environmental Pollution, 238, 903-917. doi: https://doi.org/10.1016/j.envpol.2018.04.020.

    Fann, N., Alman, B., Broome, R.A., Morgan, G.G., Johnston, F.H., Pouliot, G., Rappold, A.G. (2018). The health impacts and economic value of wildland fire episodes in the U.S.: 2008-2012. Science of the Total Environment, 610-611, 802-809. doi: https://doi.org/10.1016/j.scitotenv.2017.08.024.

    Ha, S., Liu, D., Zhu, Y., Sherman, S., Mendola, P. (2018). Acute associations between outdoor temperature and premature rupture of membranes. Environmental Epidemiology, 29-2, 175-182. 

    Ha, S., Sundaram, R., Buck Louis, G.M., Nobles, C., Seeni, I., Sherman, S., Mendola, P. (2018). Ambient air pollution and the risk of pregnancy loss: a prospective cohort study. Fertility and Sterility, 109-1, 148-153. doi: https://doi.org/10.1016/j.fertnstert.2017.09.037

    Harsha Kota, S., Guo, H., Myllyvira, L., Hu, J., Kumar Sahu, S., Garaga, R., Ying, Q., Gao, A., Dahiya, S., Wang, Y., Zhang, H. (2018). Year-long simulation of gaseous and particulate air pollutants in India. Atmospheric Environment, 180, 244-255. doi: https://doi.org/10.1016/j.atmosenv.2018.03.003

    Huang, R. Zhai, X., Ivey, C.E., Friberg, M.D., Hu, X., Liu, Y., Di, Q., Schwartz, J., Mulholland, J.A., Russell, A.G. (2018). Air pollutant exposure field modeling using air quality model-data fusion methods and comparison with satellite AOD-derived fields: application over North Carolina, USA. Air Quality Atmosphere & Health, 11, 11-22. doi: https://doi.org/10.1007/s11869-017-0511-y.

    Jandaghian, Z., Akbari, H. (2018). The effect of increasing surface albedo on urban climate and air quality: a detailed study for Sacramento, Houston, and Chicago. Climate, 6-2, 19. doi: https://doi.org/10.3390/cli6020019

    Jiang, X., Yoo, E. (2018). The importance of spatial resolutions of Community Multiscale Air Quality (CMAQ) models on health impact assessment. Science of the Total Environment, 627, 1528-1543. doi: https://doi.org/10.1016/j.scitotenv.2018.01.228

    Karambelas, A., Holloway, T., Kiesewetter, G., Heyes, C. (2018). Constraining the uncertainty in emissions over India with a regional air quality model evaluation. Atmospheric Environment, 174, 194-203. doi: https://doi.org/10.1016/j.atmosenv.2017.11.052

    Karambelas, A., Holloway, T., Kinney, P.L., Fiore, A.M., DeFries, R., Kiesewetter, G., Heyes, C. (2018). Urban versus rural health impacts attributable to PM2.5 and O3 in northern India. Environmental Research Letters, 13-6, 1-11. doi: https://doi.org/10.1088/1748-9326/aac24d

    Liu, T., Lau, A.K.H., Sandbrink, K., Fung, J.C.H. (2018). Time series forecasting of air quality based on regional numerical modeling in Hong Kong. Journal of Geophysical Research, Atmospheres, 123-8, 4175-4196. doi: https://doi.org/10.1002/2017JD028052

    Muniz-Unamunzaga, M., Borge, R., Sarwar, G., Gantt, B., De La Paz, D., Cuevas, C., Saiz-Lopez, A. (2018). The influence of ocean halogen and sulfur emissions in the air quality of a costal megacity: the case of Los Angeles. Science of the Total Environment, 610-611, 1536-1545. doi: https://doi.org/10.1016/j.scitotenv.2017.06.098.

    Nedbor-Gross, R., Henderson, B.H., Perez-Pena, M.P., Pachon, J.E. (2018). Air quality modeling in Bogota, Colombia using local emissions and natural mitigation factor adjustment for re-suspended particulate matter. Atmospheric Pollution Research, 9-1, 95-104. doi: https://doi.org/10.1016/j.apr.2017.07.004

    Nobles, C.J., Schisterman, E.F., Ha, S., Kim, K., Mumford, S.L., Buck Louis, G.M., Chen, S., Liu, D., Sherman, S., Mendola, P. (2018). Ambient air pollution and semen quality. Environmental Research, 163, 228-236. doi: https://doi.org/10.1016/j.envres.2018.02.004.

    Qiao, X., Ying, Q., Li, X., Zhang, H., Hu, J., Tang, Y., Chen, X., Source apportionment of PM2.5 for 25 Chinese provincial capitals and municipalities using a source-oriented Community Multiscale Air Quality Model. Science of the Total Environment, 612, 462-471. doi: https://doi.org/10.1016/j.scitotenv.2017.08.272

    Ring, A.M., Canty, T.P., Anderson, D.C., Vinciguerra, T.P., He, H., Goldberg, D.L., Ehrman, S.H., Dickerson, R.R., Salawitch, R.J. (2018). Evaluating commercial marine emissions and their role in air quality policy using observations and the CMAQ model. Atmospheric Environment, 173, 96-107. doi: https://doi.org/10.1016/j.atmosenv.2017.10.037

    Sacks, J.D., Lloyd, J.M., Zhu, Y., Anderton, J., Jang, C.J., Hubbell, B., Fann, N. (2018). The environmental Benefits Mapping and Analysis Program - Community Edition (BenMAP-CE): a tool to estimate the health and economic benefits of reducing air pollution. Environmental Modelling & Software, 104, 118-129. doi: https://doi.org/10.1016/j.envsoft.2018.02.009

    Seeni, I., Ha, S., Nobles, C., Liu, D., Sherman, S., Mendola, P. (2018). Air pollution exposure during pregnancy: maternal asthma and neonatal respiratory outcomes. Annals of Epidemiology. doi: https://doi.org/10.1016/j.annepidem.2018.06.003

    Sekiguchi, A., Shimadera, H., Kondo, A. (2018). Impact of aerosol direct effect on wintertime PM2.5 simulated by an online coupled meteorology-air quality model over East Asia. Aerosol and Air Quality Research, 18-4, 1068-1079. doi: https://doi.org/10.4209/aaqr.2016.06.0282

    Shaddick, G., Thomas, M.L., Green, A., Brauer, M., Van Donkelaar, A., Burnett, R., Chang, H.H., Cohen, A., Van Dingenen, R., Dora, C., Gumy, S., Liu, Y., Martin, R., Waller, L.A., West, J., Zidek, J.V., Pruss-Ustun, A. (2018). Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution. Royal Statistical Society. doi: https://doi.org/10.1111/rssc.12227.

    Wang, L., Pengfei, L, Shaocai, Y., Mehmood, K., Zhen, L., Shucheng, C., Weiping, L., Rosenfeld, D., Flagan, R.C., Seinfeld, J.H. (2018). Predicted impact of thermal power generation emission control measures in the Beijing-Tianjin-Hebei  region on air pollution over Beijing, China. Scientific Reports, 8(934). doi: https://doi.org/10.1038/s41598-018-19481-0.

    Wu, Y., Wang, P., Yu, S., Wang, L., Li, P., Li, Z., Mehmood, K., Liu, W., Wu, J., Lichtfouse, E., Rosenfield, D., Seinfeld, J.H. (2018). Residential emissions predicted as a major source of fine particulate matter in winter over the yangtze River Delta, China. Environmental Chmistry Letters. doi: https://doi.org/10.1007/s10311-018-0735-6

    Yoo, E.H., Brown, P., Eum, Y. (2018). Ambient air quality and spatio-temporal patterns of cardiovascular emergency department visits. International Journal of Health Geographics, 17, 18. doi: https://doi.org/10.1186/s12942-018-0138-8. 

    Yu, H., Russell, A., Mulholland, J., Odman, T., Hu, Y., Chang, H.H., Kumar, N. (2018). Cross-comparison and evaluation of air pollution field estimation methods. Atmospheric Environment, 179, 49-60. doi: https://doi.org/10.1016/j.atmosenv.2018.01.045

    Yu, S., Li, P., Wang, L., Wu, Y., Wang, S., Liu, K., Zhu, T., Zhang, Y., Hu, M., Zeng, L., Zhang, X., Cao, J., Alapaty, K., Wong, D., Pleim, J., Mathur, R., Rosenfeld, D., Seinfeld, J.H. (2018). Mitigation of severe urban haze pollution by a precision air pollution control approach. Scientific Reports, 8, 8151. 

    2017

    Appel, K. W., Napelenok, S. L., Foley, K. M., Pye, H. O. T., Hogrefe, C., Luecken, D. J., . . . Young, J. O. (2017). Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development, 10(4), 1703-1732. https://dx.doi.org/10.5194/gmd-10-1703-2017

    Astitha, M., Luo, H. Y., Rao, S. T., Hogrefe, C., Mathur, R., & Kumar, N. (2017). Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States. Atmospheric Environment, 164, 102-116. https://dx.doi.org/10.1016/j.atmosenv.2017.05.020

    Baker, K.R. & Woody, M.C. (2017). Assessing model characterization of single source secondary pollutant impacts using 2013 SENEX field study measurements. Environmental Science & Technology, 51(7), 3833–3842. doi: 10.1021/acs.est.6b05069

    Baklanov, A., Brunner, D., Carmichael, G., Flemming, J., Freitas, S., Gauss, M., Hov, Ø., Mathur, R., Schlünzen, K.H., Seigneur, C., Vogel, B. (2017). Key issues for seamless integrated chemistry-meteorology modeling. Bulletin of the American Meteorological Society. doi: 10.1175/BAMS-D-15-00166.1

    Ballini, F., Olcer, A. I., Brandt, J., & Neumann, D. (2017). Health costs and economic impact of wind assisted ship propulsion. Ocean Engineering, 146, 477-485. https://dx.doi.org/10.1016/j.oceaneng.2017.09.014

    Beddows, A. V., Kitwiroon, N., Williams, M. L., & Beevers, S. D. (2017). Emulation and Sensitivity Analysis of the Community Multiscale Air Quality Model for a UK Ozone Pollution Episode. Environmental Science & Technology, 51(11), 6229-6236. https://dx.doi.org/10.1021/acs.est.6b05873

    Bieser, J., Slemr, F., Ambrose, J., Brenninkmeijer, C., Brooks, S., Dastoor, A., . . . Pirrone, N. (2017). Multi-model study of mercury dispersion in the atmosphere: vertical and interhemispheric distribution of mercury species. Atmospheric Chemistry and Physics, 17(11), 6925-6955. https://dx.doi.org/10.5194/acp-17-6925-2017

    Bravo, M. A., Ebisu, K., Dominici, F., Wang, Y., Peng, R. D., & Bell, M. L. (2017). Airborne Fine Particles and Risk of Hospital Admissions for Understudied Populations: Effects by Urbanicity and Short-Term Cumulative Exposures in 708 US Counties. Environmental Health Perspectives, 125(4), 594-601. https://dx.doi.org/10.1289/ehp257

    Bray, C. D., Battye, W., Aneja, V. P., Tong, D., Lee, P., Tang, Y. H., & Nowak, J. B. (2017). Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) using in-situ aircraft and satellite measurements from the CalNex2010 campaign. Atmospheric Environment, 163, 65-76. https://dx.doi.org/10.1016/j.atmosenv.2017.05.032

    Budisulistiorini, S. H., Nenes, A., Carlton, A. G., Surratt, J. D., McNeill, V. F., & Pye, H. O. T. (2017). Simulating Aqueous-Phase Isoprene-Epoxydiol (IEPOX) Secondary Organic Aerosol Production During the 2013 Southern Oxidant and Aerosol Study (SOAS). Environmental Science & Technology, 51(9), 5026-5034. https://dx.doi.org/10.1021/acs.est.6b05750

    Cai, J., Wang, J. D., Zhang, Y. J., Tian, H. Z., Zhu, C. Y., Gross, D. S., . . . Zheng, M. (2017). Source apportionment of Pb-containing particles in Beijing during January 2013. Environmental Pollution, 226, 30-40. https://dx.doi.org/10.1016/j.envpol.2017.04.004

    Cai, S. Y., Wang, Y. J., Zhao, B., Wang, S. X., Chang, X., & Hao, J. M. (2017). The impact of the "Air Pollution Prevention and Control Action Plan" on PM2.5 concentrations in Jing-Jin-Ji region during 2012-2020. Science of the Total Environment, 580, 197-209. https://dx.doi.org/10.1016/j.scitotenv.2016.11.188

    Chai, T. F., Kim, H. C., Pan, L., Lee, P., & Tong, D. (2017). Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM2.5 assimilation on Community Multi-scale Air Quality aerosol predictions over the contiguous United States. Journal of Geophysical Research-Atmospheres, 122(10), 5399-5415. https://dx.doi.org/10.1002/2016jd026295

    Chen, D. S., Liu, X. X., Lang, J. L., Zhou, Y., Wei, L., Wang, X. T., & Guo, X. R. (2017). Estimating the contribution of regional transport to PM2.5 air pollution in a rural area on the North China Plain. Science of the Total Environment, 583, 280-291. https://dx.doi.org/10.1016/j.scitotenv.2017.01.066

    Chen, L., Zhao, H., Wang, W. X., Bai, Z. P., Wang, Z. L., Sun, F. J., . . . Miao, Y. G. (2017). Effect of windblown dust from local and regional sources on the air quality of the central district in Jinan, China. Atmospheric Research, 185, 44-52. https://dx.doi.org/10.1016/j.atmosres.2016.10.026

    Cheng, X. H., Sun, Z. A., Li, D. P., Xu, X. D., Jia, M. W., & Cheng, S. Y. (2017). Short-term aerosol radiative effects and their regional difference during heavy haze episodes in January 2013 in China. Atmospheric Environment, 165, 248-263. https://dx.doi.org/10.1016/j.atmosenv.2017.06.040

    Cho, S., Vijayaraghavan, K., Spink, D., Jung, J., Morris, R., & Pauls, R. (2017). Assessment of regional acidifying pollutants in the Athabasca oil sands area under different emission scenarios. Atmospheric Environment, 156, 160-168. https://dx.doi.org/10.1016/j.atmosenv.2017.02.038

    Dhammapala, R., Bowman, C., & Schulte, J. (2017). A Monte Carlo method for summing modeled and background pollutant concentrations. Journal of the Air & Waste Management Association, 67(8), 836-846. https://dx.doi.org/10.1080/10962247.2017.1294546

    Di, Q., Rowland, S., Koutrakis, P., & Schwartz, J. (2017). A hybrid model for spatially and temporally resolved ozone exposures in the continental United States. Journal of the Air & Waste Management Association, 67(1), 39-52. https://dx.doi.org/10.1080/10962247.2016.1200159

    Dionisio, K., Nolte, C., Spero, T., Graham, S., Caraway, N., Foley, K., & Isaacs, K. (2017). Characterizing the impact of projected changes in climate and air quality on human exposures to ozone. Journal of Exposure Science and Environmental Epidemiology, 27, 260-270. doi: 10.1038/jes.2016.81

    Emery, C., Liu, Z., Russell, A. G., Odman, M. T., Yarwood, G., & Kumar, N. (2017). Recommendations on statistics and benchmarks to assess photochemical model performance. Journal of the Air & Waste Management Association, 67(5), 582-598. https://dx.doi.org/10.1080/10962247.2016.1265027

    Epstein, S. A., Lee, S. M., Katzenstein, A. S., Carreras-Sospedra, M., Zhang, X., Farina, S. C., . . . Ban-Weiss, G. (2017). Air-quality implications of widespread adoption of cool roofs on ozone and particulate matter in southern California. Proceedings of the National Academy of Sciences of the United States of America, 114(34), 8991-8996. https://dx.doi.org/10.1073/pnas.1703560114

    Fahey, K. M., Carlton, A. G., Pye, H. O. T., Baek, J., Hutzell, W. T., Stanier, C. O., . . . Offenberg, J. H. (2017). A framework for expanding aqueous chemistry in the Community Multiscale Air Quality (CMAQ) model version 5.1. Geoscientific Model Development, 10(4), 1587-1605. https://dx.doi.org/10.5194/gmd-10-1587-2017

    Foroutan, H., Young, J., Napelenok, S., Ran, L., Appel, K. W., Gilliam, R. C., & Pleim, J. E. (2017). Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system. Journal of Advances in Modeling Earth Systems, 9(1), 585-608. https://dx.doi.org/10.1002/2016ms000823

    Fouroutan, H., & Pleim, J.E. (2017). Improving the simulation of convective dust storms in regional-to-global models. Journal of Advances in Modeling Earth Systems, 9(5), 2046-2060. 

    Friberg, M. D., Kahn, R. A., Holmes, H. A., Chang, H. H., Sarnat, S. E., Tolbert, P. E., . . . Mulholland, J. A. (2017). Daily ambient air pollution metrics for five cities: Evaluation of data-fusion-based estimates and uncertainties. Atmospheric Environment, 158, 36-50. https://dx.doi.org/10.1016/j.atmosenv.2017.03.022

    Gantt, B., Sarwar, G., Xing, J., Simon, H., Schwede, D., Hutzell, W. T., . . . Saiz-Lopez, A. (2017). The Impact of Iodide-Mediated Ozone Deposition and Halogen Chemistry on Surface Ozone Concentrations Across the Continental United States. Environmental Science & Technology, 51(3), 1458-1466. https://dx.doi.org/10.1021/acs.est.6b03556

    Garcia, V., Cooter, E., Crooks, J., Hinckley, B., Murphy, M., & Xing, X. N. (2017). Examining the impacts of increased corn production on groundwater quality using a coupled modeling system. Science of the Total Environment, 586, 16-24. https://dx.doi.org/10.1016/j.scitotenv.2017.02.009

    Gencarelli, C. N., Bieser, J., Carbone, F., De Simone, F., Hedgecock, I. M., Matthias, V., . . . Pirrone, N. (2017). Sensitivity model study of regional mercury dispersion in the atmosphere. Atmospheric Chemistry and Physics, 17(1), 627-643. https://dx.doi.org/10.5194/acp-17-627-2017

    Ghim, Y. S., Choi, Y., Kim, S., Bae, C. H., Park, J., & Shin, H. J. (2017). Evaluation of Model Performance for Forecasting Fine Particle Concentrations in Korea. Aerosol and Air Quality Research, 17(7), 1856-1864. https://dx.doi.org/10.4209/aaqr.2016.10.0446

    Goldberg, D. L., Lamsal, L. N., Loughner, C. P., Swartz, W. H., Lu, Z. F., & Streets, D. G. (2017). A high-resolution and observationally constrained OMI NO2 satellite retrieval. Atmospheric Chemistry and Physics, 17(18), 11403-11421. https://dx.doi.org/10.5194/acp-17-11403-2017

    Gu, J. B., Chen, L. F., Yu, C., Li, S. S., Tao, J. H., Fan, M., . . . Su, L. (2017). Ground-Level NO2 Concentrations over China Inferred from the Satellite OMI and CMAQ Model Simulations. Remote Sensing, 9(6), 17. https://dx.doi.org/10.3390/rs9060519

    Guevara, M., Tena, C., Soret, A., Serradell, K., Guzman, D., Retama, A., . . . Mediavilla, A. (2017). An emission processing system for air quality modelling in the Mexico City metropolitan area: Evaluation and comparison of the MOBILE6.2-Mexico and MOVES-Mexico traffic emissions. Science of the Total Environment, 584, 882-900. https://dx.doi.org/10.1016/j.scitotenv.2017.01.135

    Guo, H., Kota, S. H., Sahu, S. K., Hu, J. L., Ying, Q., Gao, A. F., & Zhang, H. L. (2017). Source apportionment of PM2.5 in North India using source-oriented air quality models. Environmental Pollution, 231, 426-436. https://dx.doi.org/10.1016/j.envpol.2017.08.016

    Ha, S. D., Mannisto, T., Liu, D. P., Sherman, S., Ying, Q., & Mendola, P. (2017). Air pollution and cardiovascular events at labor and delivery: a case-crossover analysis. Annals of Epidemiology, 27(6), 377-383. https://dx.doi.org/10.1016/j.annepidem.2017.05.007

    Ha, S. D., Zhu, Y. Y., Liu, D. P., Sherman, S., & Mendola, P. (2017). Ambient temperature and air quality in relation to small for gestational age and term low birthweight. Environmental Research, 155, 394-400. https://dx.doi.org/10.1016/j.envres.2017.02.021

    Han, X., Zhang, M. G., & Skorokhod, A. (2017). Assessment of the first indirect radiative effect of ammonium-sulfate-nitrate aerosols in East Asia. Theoretical and Applied Climatology, 130(3-4), 817-830. https://dx.doi.org/10.1007/s00704-016-1913-8

    Han, X., Zhang, M. G., Skorokhod, A., & Kou, X. X. (2017). Modeling dry deposition of reactive nitrogen in China with RAMS-CMAQ. Atmospheric Environment, 166, 47-61. https://dx.doi.org/10.1016/j.atmosenv.2017.07.015

    Henneman, L. R. F., Liu, C., Hu, Y. T., Mulholland, J. A., & Russell, A. G. (2017). Air quality modeling for accountability research: Operational, dynamic, and diagnostic evaluation. Atmospheric Environment, 166, 551-565. https://dx.doi.org/10.1016/j.atmosenv.2017.07.049

    Hogrefe, C., Liu, P., Pouliot, G., Mathur, R., Roselle, S., Solazzo, E., Galmarini, S. (2017). Influence of boundary conditions on regional air quality simulations-- analysis of AQMEII phase 3 results. Air Pollution Modeling and its Application XXV. ITM 2016. Springer Proceedings in Complexity. Springer, Cham. doi: https:doi.org/10.1007/978-3-319-57645-9_62.

    Hogrefe, C., Roselle, S. J., & Bash, J. O. (2017). Persistence of initial conditions in continental scale air quality simulations. Atmospheric Environment, 160, 36-45. https://dx.doi.org/10.1016/j.atmosenv.2017.04.009

    Hong, C. P., Zhang, Q., Zhang, Y., Tang, Y. H., Tong, D., & He, K. B. (2017). Multi-year downscaling application of two-way coupled WRF v3.4 and CMAQ v5.0.2 over east Asia for regional climate and air quality modeling: model evaluation and aerosol direct effects. Geoscientific Model Development, 10(6), 2447-2470. https://dx.doi.org/10.5194/gmd-10-2447-2017

    Hu, J. L., Huang, L., Chen, M. D., He, G., & Zhang, H. L. (2017). Impacts of power generation on air quality in China-Part II: Future scenarios. Resources Conservation and Recycling, 121, 115-127. https://dx.doi.org/10.1016/j.resconrec.2016.04.011

    Hu, J. L., Huang, L., Chen, M. D., Liao, H., Zhang, H. L., Wang, S. X., . . . Ying, Q. (2017). Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions. Environmental Science & Technology, 51(17), 9950-9959. https://dx.doi.org/10.1021/acs.est.7b03193

    Hu, J. L., Li, X., Huang, L., Ying, Q., Zhang, Q., Zhao, B., . . . Zhang, H. L. (2017). Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China. Atmospheric Chemistry and Physics, 17(21), 13103-13118. https://dx.doi.org/10.5194/acp-17-13103-2017

    Hu, J. L., Wang, P., Ying, Q., Zhang, H. L., Chen, J. J., Ge, X. L., . . . Zhang, Y. Y. (2017). Modeling biogenic and anthropogenic secondary organic aerosol in China. Atmospheric Chemistry and Physics, 17(1), 77-92. https://dx.doi.org/10.5194/acp-17-77-2017

    Huang, J. P., McQueen, J., Wilczak, J., Djalalova, I., Stajner, I., Shafran, P., . . . Monache, L. D. (2017). Improving NOAA NAQFC PM2.5 Predictions with a Bias Correction Approach. Weather and Forecasting, 32(2), 407-421. https://dx.doi.org/10.1175/waf-d-16-0118.1

    Huang, Q., Wang, T. J., Chen, P. L., Huang, X. X., Zhu, J. L., & Zhuang, B. L. (2017). Impacts of emission reduction and meteorological conditions on air quality improvement during the 2014 Youth Olympic Games in Nanjing, China. Atmospheric Chemistry and Physics, 17(21), 13457-13471. https://dx.doi.org/10.5194/acp-17-13457-2017

    Janechek, N. J., Hansen, K. M., & Stanier, C. O. (2017). Comprehensive atmospheric modeling of reactive cyclic siloxanes and their oxidation products. Atmospheric Chemistry and Physics, 17(13), 8357-8370. https://dx.doi.org/10.5194/acp-17-8357-2017

    Jathar, S. H., Woody, M., Pye, H. O. T., Baker, K. R., & Robinson, A. L. (2017). Chemical transport model simulations of organic aerosol in southern California: model evaluation and gasoline and diesel source contributions. Atmospheric Chemistry and Physics, 17(6), 4305-4318. https://dx.doi.org/10.5194/acp-17-4305-2017.

    Jerrett, M., Brook, R., White, L. F., Burnett, R. T., Yu, J., Su, J. S., . . . Coogan, P. F. (2017). Ambient ozone and incident diabetes: A prospective analysis in a large cohort of African American women. Environment International, 102, 42-47. https://dx.doi.org/10.1016/j.envint.2016.12.011

    Kang, D., Heath, N., Foley, K., Bash, J., Roselle, S., Mathur, R. (2018) On the relationship between observed NLDN lightning strikes and modeled convective precipitation rates: parameterization of lighting NOx production in CMAQ. Air Pollution Modeling and its Application XXV, ITM 2016. Springer Proceedings in Complexity. Springer, Cham.

    Karamchandani, P., Morris, R., Wentland, A., Shah, T., Reid, S., & Lester, J. (2017). Dynamic Evaluation of Photochemical Grid Model Response to Emission Changes in the South Coast Air Basin in California. Atmosphere, 8(8), 25. https://dx.doi.org/10.3390/atmos8080145

    Ke, W. W., Zhang, S. J., Wu, Y., Zhao, B., Wang, S. X., & Hao, J. M. (2017). Assessing the Future Vehicle Fleet Electrification: The Impacts on Regional and Urban Air Quality. Environmental Science & Technology, 51(2), 1007-1016. https://dx.doi.org/10.1021/acs.est.6b04253

    Kim, E., Kim, B. U., Kim, H. C., & Kim, S. (2017). The Variability of Ozone Sensitivity to Anthropogenic Emissions with Biogenic Emissions Modeled by MEGAN and BEIS3. Atmosphere, 8(10), 24. https://dx.doi.org/10.3390/atmos8100187

    Kim, H. C., Kim, E., Bae, C., Cho, J. H., Kim, B. U., & Kim, S. (2017). Regional contributions to particulate matter concentration in the Seoul metropolitan area, South Korea: seasonal variation and sensitivity to meteorology and emissions inventory. Atmospheric Chemistry and Physics, 17(17), 10315-10332. https://dx.doi.org/10.5194/acp-17-10315-2017

    Kou, X. X., Tian, X. J., Zhang, M. G., Peng, Z., & Zhang, X. L. (2017). Accounting for CO2 Variability over East Asia with a Regional Joint Inversion System and Its Preliminary Evaluation. Journal of Meteorological Research, 31(5), 834-851. https://dx.doi.org/10.1007/s13351-017-6149-8

    Lamsal, L. N., Janz, S. J., Krotkov, N. A., Pickering, K. E., Spurr, R. J. D., Kowalewski, M. G., . . . Herman, J. R. (2017). High-resolution NO2 observations from the Airborne Compact Atmospheric Mapper: Retrieval and validation. Journal of Geophysical Research-Atmospheres, 122(3), 1953-1970. https://dx.doi.org/10.1002/2016jd025483

    Lang, J. L., Cheng, S. Y., Wen, W., Liu, C., & Wang, G. (2017). Development and Application of a New PM2.5 Source Apportionment Approach. Aerosol and Air Quality Research, 17(1), 340-350. https://dx.doi.org/10.4209/aaqr.2015.10.0588

    Lang, J. L., Zhou, Y., Chen, D. S., Xing, X. F., Wei, L., Wang, X. T., . . . Cheng, S. Y. (2017). Investigating the contribution of shipping emissions to atmospheric PM2.5 using a combined source apportionment approach. Environmental Pollution, 229, 557-566. https://dx.doi.org/10.1016/j.envpol.2017.06.087

    Lee, P., McQueen, J., Stajner, I., Huang, J. P., Pan, L., Tong, D., . . . Artz, R. (2017). NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM2.5). Weather and Forecasting, 32(1), 343-360. https://dx.doi.org/10.1175/waf-d-15-0163.1

    Li, J. L., Zhang, M. G., Wu, F. K., Sun, Y. L., & Tang, G. G. (2017). Assessment of the impacts of aromatic VOC emissions and yields of SOA on SOA concentrations with the air quality model RAMS-CMAQ. Atmospheric Environment, 158, 105-115. https://dx.doi.org/10.1016/j.atmosenv.2017.03.035

    Li, P. F., Wang, L. Q., Guo, P., Yu, S. C., Mehmood, K., Wang, S., . . . Mathur, R. (2017). High reduction of ozone and particulate matter during the 2016 G-20 summit in Hangzhou by forced emission controls of industry and traffic. Environmental Chemistry Letters, 15(4), 709-715. https://dx.doi.org/10.1007/s10311-017-0642-2

    Li, R., Zhang, M. G., Chen, L. F., Kou, X. X., & Skorokhod, A. (2017). CMAQ simulation of atmospheric CO2 concentration in East Asia: Comparison with GOSAT observations and ground measurements. Atmospheric Environment, 160, 176-185. https://dx.doi.org/10.1016/j.atmosenv.2017.03.056

    Lightstone, S. D., Moshary, F., & Gross, B. (2017). Comparing CMAQ Forecasts with a Neural Network Forecast Model for PM2.5 in New York. Atmosphere, 8(9), 16. https://dx.doi.org/10.3390/atmos8090161

    Liu, Z. M., Lu, X. H., Feng, J. L., Fan, Q. Z., Zhang, Y., & Yang, X. (2017). Influence of Ship Emissions on Urban Air Quality: A Comprehensive Study Using Highly Time-Resolved Online Measurements and Numerical Simulation in Shanghai. Environmental Science & Technology, 51(1), 202-211. https://dx.doi.org/10.1021/acs.est.6b03834

    Lonsdale, C. R., Hegarty, J. D., Cady-Pereira, K. E., Alvarado, M. J., Henze, D. K., Turner, M. D., . . . Scarino, A. J. (2017). Modeling the diurnal variability of agricultural ammonia in Bakersfield, California, during the CalNex campaign. Atmospheric Chemistry and Physics, 17(4), 2721-2739. https://dx.doi.org/10.5194/acp-17-2721-2017

    Lyu, B. L., Zhang, Y. H., & Hu, Y. T. (2017). Improving PM2.5 Air Quality Model Forecasts in China Using a Bias-Correction Framework. Atmosphere, 8(8), 15. https://dx.doi.org/10.3390/atmos8080147

    Mathur, R., Xing, J., Gilliam, R., Sarwar, G., Hogrefe, C., Pleim, J., . . . Young, J. (2017). Extending the Community Multiscale Air Quality (CMAQ) modeling system to hemispheric scales: overview of process considerations and initial applications. Atmospheric Chemistry and Physics, 17(20), 12449-12474. https://dx.doi.org/10.5194/acp-17-12449-2017

    McCrackin, M.L., Cooter, E.J., Dennis, R.L., Harrison, J.A., & Compton, J.E. (2017). Alternative futures of dissolved inorganic nitrogen export from the Mississippi River Basin: influence of crop management, atmospheric deposition, and population growth. Biogeochemistry, 133(3), 263–277. doi: 10.1007/s10533-017-0331-z

    McGuinn, L. A., Ward-Caviness, C., Neas, L. M., Schneider, A., Di, Q., Chudnovsky, A., . . . Devlin, R. B. (2017). Fine particulate matter and cardiovascular disease: Comparison of assessment methods for long-term exposure. Environmental Research, 159, 16-23. https://dx.doi.org/10.1016/j.envres.2017.07.041

    Mendola, P., Ha, S., Pollack, A. Z., Zhu, Y. Y., Seeni, I., Kim, S. S., . . . Liu, D. P. (2017). Chronic and Acute Ozone Exposure in the Week Prior to Delivery Is Associated with the Risk of Stillbirth. International Journal of Environmental Research and Public Health, 14(7), 11. https://dx.doi.org/10.3390/ijerph14070731

    Mu, Q., Lammel, G., Gencarelli, C. N., Hedgecock, I. M., Chen, Y., Pribylova, P., . . . Cheng, Y. F. (2017). Regional modelling of polycyclic aromatic hydrocarbons: WRF-Chem-PAH model development and East Asia case studies. Atmospheric Chemistry and Physics, 17(19), 12253-12267. https://dx.doi.org/10.5194/acp-17-12253-2017

    Murphy, B. N., Woody, M. C., Jimenez, J. L., Carlton, A. M. G., Hayes, P. L., Liu, S., . . . Pye, H. O. T. (2017). Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning. Atmospheric Chemistry and Physics, 17(18), 11107-11133. https://dx.doi.org/10.5194/acp-17-11107-2017

    Nascimento, E. G. S., Moreira, D. M., & Albuquerque, T. T. D. (2017). The development of a new model to simulate the dispersion of rocket exhaust clouds. Aerospace Science and Technology, 69, 298-312. https://dx.doi.org/10.1016/j.ast.2017.06.034

    Ng, H.L., Brown, S.S., Archibald, A.T., Atlas, E., Cohen, R.C., ... , & Zaveri, R.A. (2017). Nitrate radicals and biogenic volatile organic compounds: oxidation, mechanisms and organic aerosol. Atmospheric Chemistry and Physics, 17, 2103–2162. doi: 10.5194/acp-17-2103-2017

    Ninneman, M., Lu, S., Lee, P., McQueen, J., Huang, J. P., Demerjian, K., & Schwab, J. (2017). Observed and Model-Derived Ozone Production Efficiency over Urban and Rural New York State. Atmosphere, 8(7), 15. https://dx.doi.org/10.3390/atmos8070126

    Pan, S., Choi, Y., Jeon, W., Roy, A., Westenbarger, D. A., & Kim, H. C. (2017). Impact of high-resolution sea surface temperature, emission spikes and wind on simulated surface ozone in Houston, Texas during a high ozone episode. Atmospheric Environment, 152, 362-376. https://dx.doi.org/10.1016/j.atmosenv.2016.12.030

    Pan, S., Choi, Y., Roy, A., & Jeon, W. (2017). Allocating emissions to 4 km and 1 km horizontal spatial resolutions and its impact on simulated NOx and O-3 in Houston, TX. Atmospheric Environment, 164, 398-415. https://dx.doi.org/10.1016/j.atmosenv.2017.06.026

    Penn, S. L., Arunachalam, S., Woody, M., Heiger-Bernays, W., Tripodis, Y., & Levy, J. I. (2017). Estimating State-Specific Contributions to PM2.5- and O-3-Related Health Burden from Residential Combustion and Electricity Generating Unit Emissions in the United States. Environmental Health Perspectives, 125(3), 324-332. https://dx.doi.org/10.1289/ehp550

    Penn, S. L., Boone, S. T., Harvey, B. C., Heiger-Bernays, W., Tripodis, Y., Arunachalam, S., & Levy, J. I. (2017). Modeling variability in air pollution-related health damages from individual airport emissions. Environmental Research, 156, 791-800. https://dx.doi.org/10.1016/j.envres.2017.04.031

    Porter, P. S., Rao, S. T., Hogrefe, C., & Mathur, R. (2017). A reduced form model for ozone based on two decades of CMAQ simulations for the continental United States. Atmospheric Pollution Research, 8(2), 275-284. https://dx.doi.org/10.1016/j.apr.2016.09.005

    Pye, H. O. T., Murphy, B. N., Xu, L., Ng, N. L., Carlton, A. G., Guo, H. Y., . . . Goldstein, A. H. (2017). On the implications of aerosol liquid water and phase separation for organic aerosol mass. Atmospheric Chemistry and Physics, 17(1), 343-369. https://dx.doi.org/10.5194/acp-17-343-2017

    Qiu, X. H., Duan, L., Cai, S. Y., Yu, Q., Wang, S. X., Chai, F. H., . . . Xu, Z. M. (2017). Effect of current emission abatement strategies on air quality improvement in China: A case study of Baotou, a typical industrial city in Inner Mongolia. Journal of Environmental Sciences, 57, 383-390. https://dx.doi.org/10.1016/j.jes.2016.12.014

    Ran, L. M., Pleim, J., Song, C. H., Band, L., Walker, J. T., & Binkowski, F. S. (2017). A photosynthesis-based two-leaf canopy stomatal conductance model for meteorology and air quality modeling with WRF/CMAQ PX LSM. Journal of Geophysical Research-Atmospheres, 122(3), 1930-1952. https://dx.doi.org/10.1002/2016jd025583

    Rappold, A., Reyes, J., Pouliot, G., Cascio, W., Diaz-Sanchez, D. (2017). Community vulnerability to health impacts from wildland fire smoke exposure. Environmental Science & Technology. doi: 10.1021/acs.est.6b06200

    Reyes, J. M., Xu, Y. D., Vizuete, W., & Serre, M. L. (2017). Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain. Atmospheric Environment, 148, 258-265. https://dx.doi.org/10.1016/j.atmosenv.2016.10.048

    Saiz-Lopez, A., Borge, R., Notario, A., Adame, J. A., De la Paz, D., Querol, X., . . . Cuevas, C. A. (2017). Unexpected increase in the oxidation capacity of the urban atmosphere of Madrid, Spain. Scientific Reports, 7, 11. https://dx.doi.org/10.1038/srep45956

    Sharma, S., & Khare, M. (2017). Simulating ozone concentrations using precursor emission inventories in Delhi - National Capital Region of India. Atmospheric Environment, 151, 117-132. https://dx.doi.org/10.1016/j.atmosenv.2016.12.009

    Sharma, S., Sharma, P., & Khare, M. (2017). Photo-chemical transport modelling of tropospheric ozone: A review. Atmospheric Environment, 159, 34-54. https://dx.doi.org/10.1016/j.atmosenv.2017.03.047

    Shi, Z. H., Li, J. Y., Huang, L., Wang, P., Wu, L., Ying, Q., . . . Hu, J. L. (2017). Source apportionment of fine particulate matter in China in 2013 using a source-oriented chemical transport model. Science of the Total Environment, 601, 1476-1487. https://dx.doi.org/10.1016/j.scitotenv.2017.06.019

    Solazzo, E., Bianconi, R., Hogrefe, C., Curci, G., Tuccella, P., Alyuz, U., . . . Galmarini, S. (2017). Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown. Atmospheric Chemistry and Physics, 17(4), 3001-3054. https://dx.doi.org/10.5194/acp-17-3001-2017

    Solazzo, E., Hogrefe, C., Colette, A., Garcia-Vivanco, M., & Galmarini, S. (2017). Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework. Atmospheric Chemistry and Physics, 17(17), 10435-10465. https://dx.doi.org/10.5194/acp-17-10435-2017

    Sotiropoulou, R. E. P., & Tagaris, E. (2017). Impact of Shipping Emissions on European Air Quality. In T. S. Karacostas, A. F. Bais & P. T. Nastos (Eds.), Perspectives on Atmospheric Sciences (pp. 1043-1049). Dordrecht: Springer.

    Tagaris, E., Stergiou, I., & Sotiropoulou, R. E. P. (2017). Impact of shipping emissions on ozone levels over Europe: assessing the relative importance of the Standard Nomenclature for Air Pollution (SNAP) categories. Environmental Science and Pollution Research, 24(17), 14903-14909. https://dx.doi.org/10.1007/s11356-017-9046-x

    Tan, J. N., Fu, J. S., Huang, K., Yang, C. E., Zhuang, G. S., & Sun, J. (2017). Effectiveness of SO2 emission control policy on power plants in the Yangtze River Delta, China-post-assessment of the 11th Five-Year Plan. Environmental Science and Pollution Research, 24(9), 8243-8255. https://dx.doi.org/10.1007/s11356-017-8412-z

    Tan, J. N., Zhang, Y., Ma, W. C., Yu, Q., Wang, Q., Fu, Q. Y., . . . Chen, L. M. (2017). Evaluation and potential improvements of WRF/CMAQ in simulating multi-levels air pollution in megacity Shanghai, China. Stochastic Environmental Research and Risk Assessment, 31(10), 2513-2526. https://dx.doi.org/10.1007/s00477-016-1342-3

    Tang, G. Q., Zhu, X. W., Xin, J. Y., Hu, B., Song, T., Sun, Y., . . . Wang, Y. S. (2017). Modelling study of boundary-layer ozone over northern China - Part II: Responses to emission reductions during the Beijing Olympics. Atmospheric Research, 193, 83-93. https://dx.doi.org/10.1016/j.atmosres.2017.02.014

    Tang, G. Q., Zhu, X. W., Xin, J. Y., Hu, B., Song, T., Sun, Y., . . . Wang, Y. S. (2017). Modelling study of boundary-layer ozone over northern China - Part I: Ozone budget in summer. Atmospheric Research, 187, 128-137. https://dx.doi.org/10.1016/j.atmosres.2016.10.017

    Uranishi, K., Ikemori, F., Nakatsubo, R., Shimadera, H., Kondo, A., Kikutani, Y., . . . Sugata, S. (2017). Identification of biased sectors in emission data using a combination of chemical transport model and receptor model. Atmospheric Environment, 166, 166-181. https://dx.doi.org/10.1016/j.atmosenv.2017.06.039

    Vinciguerra, T., Bull, E., Canty, T., He, H., Zalewsky, E., Woodman, M., . . . Dickerson, R. R. (2017). Expected ozone benefits of reducing nitrogen oxide (NOx) emissions from coal-fired electricity generating units in the eastern United States. Journal of the Air & Waste Management Association, 67(3), 279-291. https://dx.doi.org/10.1080/10962247.2016.1230564

    Vivanco, M. G., Bessagnet, B., Cuvelier, C., Theobald, M. R., Tsyro, S., Pirovano, G., . . . Ung, A. (2017). Joint analysis of deposition fluxes and atmospheric concentrations of inorganic nitrogen and sulphur compounds predicted by six chemistry transport models in the frame of the EURODELTAIII project. Atmospheric Environment, 151, 152-175. https://dx.doi.org/10.1016/j.atmosenv.2016.11.042

    Wang, G., Cheng, S. Y., Lang, J. L., Yang, X. W., Wang, X. Q., Chen, G. L., . . . Zhang, H. Y. (2017). Characteristics of PM2.5 and Assessing Effects of Emission-Reduction Measures in the Heavy Polluted City of Shijiazhuang, before, during, and after the Ceremonial Parade 2015. Aerosol and Air Quality Research, 17(2), 499-512. https://dx.doi.org/10.4209/aaqr.2016.05.0181

    Wang, G., Cheng, S. Y., Wei, W., Yang, X. W., Wang, X. Q., Jia, J., . . . Lv, Z. (2017). Characteristics and emission-reduction measures evaluation of PM2.5 during the two major events: APEC and Parade. Science of the Total Environment, 595, 81-92. https://dx.doi.org/10.1016/j.scitotenv.2017.03.231

    Wang, J. D., Xing, J., Mathur, R., Pleim, J. E., Wang, S. X., Hogrefe, C., . . . Hao, J. M. (2017). Historical Trends in PM2.5-Related Premature Mortality during 1990-2010 across the Northern Hemisphere. Environmental Health Perspectives, 125(3), 400-408. https://dx.doi.org/10.1289/ehp298

    Wang, J. J., Zhang, M. G., Bai, X. L., Tan, H. J., Li, S., Liu, J. P., . . . Chen, L. Q. (2017). Large-scale transport of PM2.5 in the lower troposphere during winter cold surges in China. Scientific Reports, 7, 10. https://dx.doi.org/10.1038/s41598-017-13217-2

    Wang, P., Schade, G., Estes, M., & Ying, Q. (2017). Improved MEGAN predictions of biogenic isoprene in the contiguous United States. Atmospheric Environment, 148, 337-351. https://dx.doi.org/10.1016/j.atmosenv.2016.11.006

    Williams, J. J., Chung, S. H., Johansen, A. M., Lamb, B. K., Vaughan, J. K., & Beutel, M. (2017). Evaluation of atmospheric nitrogen deposition model performance in the context of US critical load assessments. Atmospheric Environment, 150, 244-255. https://dx.doi.org/10.1016/j.atmosenv.2016.11.051

    Wu, T., Fan, M., Tao, J. H., Su, L., Wang, P., Liu, D., . . . Chen, L. F. (2017). Aerosol Optical Properties over China from RAMS-CMAQ Model Compared with CALIOP Observations. Atmosphere, 8(10), 19. https://dx.doi.org/10.3390/atmos8100201

    Wu, W. J., Zhao, B., Wang, S. X., & Hao, J. M. (2017). Ozone and secondary organic aerosol formation potential from anthropogenic volatile organic compounds emissions in China. Journal of Environmental Sciences, 53, 224-237. https://dx.doi.org/10.1016/j.jes.2016.03.025

    Xing, J., Wang, J. D., Mathur, R., Wang, S. X., Sarwar, G., Pleim, J., . . . Hao, J. M. (2017). Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates. Atmospheric Chemistry and Physics, 17(16), 9869-9883. https://dx.doi.org/10.5194/acp-17-9869-2017

    Xue, T., Zheng, Y. X., Geng, G. N., Zheng, B., Jiang, X. J., Zhang, Q., & He, K. B. (2017). Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China. Remote Sensing, 9(3), 19. https://dx.doi.org/10.3390/rs9030221

    You, Z. Q., Zhu, Y., Jang, C., Wang, S. X., Gao, J., Lin, C. J., . . . Yang, W. W. (2017). Response surface modeling-based source contribution analysis and VOC emission control policy assessment in a typical ozone-polluted urban Shunde, China. Journal of Environmental Sciences, 51, 294-304. https://dx.doi.org/10.1016/j.jes.2016.05.034

    Zhang, J., Li, J. Y., Wang, P., Chen, G., Mendola, P., Sherman, S., & Ying, Q. (2017). Estimating population exposure to ambient polycyclic aromatic hydrocarbon in the United States - Part I: Model development and evaluation. Environment International, 99, 263-274. https://dx.doi.org/10.1016/j.envint.2016.12.002

    Zhang, Z. Z., Wang, W. X., Cheng, M. M., Liu, S. J., Xu, J., He, Y. J., & Meng, F. (2017). The contribution of residential coal combustion to PM2.5 pollution over China's Beijing-Tianjin-Hebei region in winter. Atmospheric Environment, 159, 147-161. https://dx.doi.org/10.1016/j.atmosenv.2017.03.054

    Zhao, Y., Mao, P., Zhou, Y. D., Yang, Y., Zhang, J., Wang, S. K., . . . Li, W. Q. (2017). Improved provincial emission inventory and speciation profiles of anthropogenic non-methane volatile organic compounds: a case study for Jiangsu, China. Atmospheric Chemistry and Physics, 17(12), 7733-7756. https://dx.doi.org/10.5194/acp-17-7733-2017

    Zhou, G. Q., Xu, J. M., Xie, Y., Chang, L. Y., Gao, W., Gu, Y. X., & Zhou, J. (2017). Numerical air quality forecasting over eastern China: An operational application of WRF-Chem. Atmospheric Environment, 153, 94-108. https://dx.doi.org/10.1016/j.atmosenv.2017.01.020

    Zhou, Y. D., Zhao, Y., Mao, P., Zhang, Q., Zhang, J., Qiu, L. P., & Yang, Y. (2017). Development of a high-resolution emission inventory and its evaluation and application through air quality modeling for Jiangsu Province, China. Atmospheric Chemistry and Physics, 17(1), 211-233. https://dx.doi.org/10.5194/acp-17-211-201

    2016

    Arunachalam, S., Woody, M., Omary, M., Penn, S., Chung, S., Woo, M., Tambouret, Y., & Levy, J. (2016). Modeling the air quality and public health benefits of increased residential insulation in the United States. Air Pollution Modeling and its Application XXIV, 135-140. doi: 10.1007/978-3-319-24478-5_22

    Backes, A., Aulinger, A., Bieser, J., Matthias, V., & Quante, M. (2016). Ammonia emissions in Europe, part I: Development of a dynamical ammonia emission inventory. Atmospheric Environment, 131, 55-66. doi: 10.1016/j.atmosenv.2016.01.041

    Backes, A. M., Aulinger, A., Bieser, J., Matthias, V., & Quante, M. (2016). Ammonia emissions in Europe, part II: How ammonia emission abatement strategies affect secondary aerosols. Atmospheric Environment, 126, 153-161. doi: 10.1016/j.atmosenv.2015.11.039

    Backes, A. M., Aulinger, A., Bieser, J., Matthias, V., & Quante, M. (2016). Influence of ammonia emissions on aerosol formation in Northern and Central Europe. Air Pollution Modeling and its Application XXIV, 29-35. doi: 10.1007/978-3-319-24478-5_5

    Bae, S. Y., Jeong, J. I., Park, R. J., Lim, K. S. S., & Hong, S. Y. (2016). Weekly variability of precipitation induced by anthropogenic aerosols: A Case study in Korea in summer 2004. Science of the Total Environment, 541, 1531-1539. doi: 10.1016/j.scitotenv.2015.10.020

    Baker, K.R., Woody, M.C., Tonnesen, G.S., Hutzell, W., Pye, H.O.T., Beaver, M.R., Pouliot, G., & Pierce, T. (2016). Contribution of regional-scale fire events to ozone and PM2.5 air quality estimated by photochemical modeling approaches. Atmospheric Environment, 140, 539-554. doi: 10.1016/j.atmosenv.2016.06.032

    Bash, J., Baker, K.R., & Beaver, M.R. (2016). Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California. Geoscientific Model Development, 9, 2191-2207. doi: 10.5194/gmd-9-2191-2016

    Banks, R. F. & Baldasano, J. M. (2016). Impact of WRF model PBL schemes on air quality simulations over Catalonia, Spain. Science of the Total Environment, 572, 98-113. doi: 10.1016/j.scitotenv.2016.07.167

    Bash, J. O., Baker, K. R., & Beaver, M. R. (2016). Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California. Geoscientific Model Development, 9(6), 2191-2207. doi: 10.5194/gmd-9-2191-2016

    Battye, W.H., Bray, C.D., Aneja, V.P., Tong, D., Lee, P., & Tang, Y.H. (2016). Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) using in situ aircraft, ground-level, and satellite measurements from the DISCOVER-AQ Colorado campaign. Atmospheric Environment, 140, 342-251. doi: 10.1016/j.atmosenv.2016.06.021

    Boone, S., Penn, S., Levy, J., & Arunachalam, S. (2016). Calculation of Sensitivity Coefficients for Individual Airport Emissions in the Continental United States Using CMAQ-DDM3D/PM. Air Pollution Modeling and its Applications XXIV, 251-257. doi: 10.1007/978-3-319-24478-5_41

    Bravo, M. A., Anthopolos, R., Bell, M. L., & Miranda, M. L. (2016). Racial isolation and exposure to airborne particulate matter and ozone in understudied US populations: environmental justice applications of downscaled numerical model output. Environment International, 92-93, 247-255. doi: 10.1016/j.envint.2016.04.008

    Brune, W.H., Baier, B.C., Thomas, J., Ren, X., Cohen, R.C., Pusede, S.E., … & Wennberg, P.O. (2016). Ozone production chemistry in the presence of urban plumes. Faraday Discussions, 189, 169-189. doi: 10.1039/c5fd00204d

    Carreras-Sospedra, M., Williams, R., & Dabdub, D. (2016). Assessment of the emissions and air quality impacts of biomass and biogas use in California. Journal of the Air & Waste Management Association, 66(2), 134-150. doi: 10.1080/10962247.2015.1087892

    Chuang, M.T., Fu, J.S., Lee, C.T., Lin, N.H., Gao, Y., … , & Thongboonchoo, N. (2016).  The simulation of long-range transport of biomass burning plume and short-range transport of anthropogenic pollutants to a mountain observatory in East Asia during the 7-SEAS/2010 Dongsha Experiment. Aerosol and Air Quality Research, 16(11), 2933-2949. doi: 10.4209/aaqr.2015.07.0440

    de la Paz, D., Borge, R., Martilli, A. (2016). Assessment of a high resolution annual WRF-BEP/CMAQ simulation for the urban area of Madrid (Spain). Atmospheric Environment, 144, 282-296. doi: 10.1016/j.atmosenv.2016.08.082

    Diao, L.J. Choi, Y., Czader, B., Li, X.S., Pan, S., Roy, A., Souri, A.H., Estes, M., & Jeon, W. (2016). Discrepancies between modeled and observed nocturnal isoprene in an urban environment and the possible causes: A case study in Houston. Atmospheric Research, 181, 257-264. doi: 10.1016/j.atmosres.2016.07.009

    Diao, L. J., Roy, A., Czader, B., Pan, S., Jeon, W. B., Souri, A. H., & Choi, Y. S. (2016). Modeling the effect of relative humidity on nitrous acid formation in the Houston area. Atmospheric Environment, 131, 78-82. doi: 10.1016/j.atmosenv.2016.01.053

    Efstathiou, C.I., Matejovicova, J., Bieser, J., & Lammel, G. (2016). Evaluation of gas-particle partitioning in a regional air quality model for organic pollutants. Atmospheric Chemistry and Physics, 16, 15327-15345. doi: 10.5194/acp-16-15327-2016

    Falsafi, P. & Hakami, A. (2016). Development of appropriate method for advection of sensitivity fields. Air Pollution Modeling and its Application XXIV, 271-275. doi: 10.1007/978-3-319-24478-5_44

    Farkas, C.M., Moeller, M.D., Felder, F.A., Henderson,B.H., & Carlton, A.G. (2016). High electricity demand in the Northeast US: PJM reliability network and peaking unit impacts on air quality. Environmental Science and Technology, 50(15), 8375-8384. doi: 10.1021/acs.est.6b01697

    Fisher, B., Chemel, C., Sokhi, R., & Timmis, R. (2016). A risk based application of the regional model CMAQ to policy decisions. Atmospheric Pollution Research, 7(1), 207-214. doi: 10.1016/j.apr.2015.09.004

    Flynn, C.M., Pickering, K.E., Crawford, J.H., Weinheimer, A.J., Diskin, G.D., Thornhill, K.L., Loughner, C., Lee, P., & Strode, S.A. (2016). Variability of O3 and NO2 profile shapes during DISCOVER-AQ: Implications for satellite observations and comparisons to model-simulated profiles. Atmospheric Environment, 147, 133-156. doi: 10.1016/j.atmosenv.2016.09.068

    Friberg, M. D., Zhai, X. X., Holmes, H. A., Chang, H. H., Strickland, M. J., Sarnat, S. E., . . . Mulholland, J. A. (2016). Method for fusing observational data and chemical transport model simulations to estimate spatiotemporally resolved ambient air pollution. Environmental Science & Technology, 50(7), 3695-3705. doi: 10.1021/acs.est.5b05134

    Fu, X., Cheng, Z., Wang, S. X., Hua, Y., Xing, J., & Hao, J. M. (2016). Local and regional contributions to fine particle pollution in winter of the Yangtze River Delta, China. Aerosol and Air Quality Research, 16(4), 1067-1080. doi: 10.4209/aaqr.2015.08.0496

    Fu, X., Wang, S.X., Chang, X., Cai, S. Y., Xing, J., & Hao J. M. (2016). Modeling analysis of secondary inorganic aerosols over China: pollution characteristics, and meteorological and dust impacts. Scientific Reports, 6. doi: 10.1038/srep35992

    Gan, C. M., Hogrefe, C., Mathur, R., Pleim, J., Xing, J., Wong, D., . . . Wei, C. (2016). Assessment of the effects of horizontal grid resolution on long-term air quality trends using coupled WRF-CMAQ simulations. Atmospheric Environment, 132, 207-216. doi: 10.1016/j.atmosenv.2016.02.036

    Garcia, V., Cooter, E., Crooks, J., Hayes, B., Hinckley, B., Murphy, M., Wade, T., & Xing, X. (2016). Using a coupled modelling system to examine the impacts of increased corn production on groundwater quality and human health. Air Pollution Modeling and its Application XXIV, 113-117. doi: 10.1007/978-3-319-24478-5_18

    Gilani, O., McKay, L. A., Gregoire, T. G., Guan, Y. T., Leaderer, B. P., & Holford, T. R. (2016). Spatiotemporal calibration and resolution refinement of output from deterministic models. Statistics in Medicine, 35(14), 2422-2440. doi: 10.1002/sim.6867

    Han, X., Zhang, M. G., Zhu, L. Y., & Skorokhod, A. (2016). Assessment of the impact of emissions reductions on air quality over North China Plain. Atmospheric Pollution Research, 7(2), 249-259. doi: 10.1016/j.apr.2015.09.009

    Hang, J., Lin, M., Wong, D.C., Wang, X., Wang, B., Buccolieri, R. & 2016. On the influence of viaduct and ground heating on pollutant dispersion in 2D street canyons and toward single-sided ventilated buildings. Atmospheric Pollution Research, 7(5), 817-832). doi: 10.1016/j.apr.2016.04.009

    Hao, H., Chang, H. H., Holmes, H. A., Mulholland, J. A., Klein, M., Darrow, L. A., & Strickland, M. J. (2016). Air Pollution and Preterm Birth in the US State of Georgia (2002-2006): Associations with Concentrations of 11 Ambient Air Pollutants Estimated by Combining Community Multiscale Air Quality Model (CMAQ) Simulations with Stationary Monitor Measurements. Environmental Health Perspectives, 124(6), 875-880. doi: 10.1289/ehp.1409651

    Hogrefe, C., Pouliot, G., Xing, J., Flemming, J., Roselle, S., Mathur, R., & Galmarini, S. (2016). Global and regional modeling of long-range transport and intercontinental source-receptor linkages. Air Pollution Modeling and its Application XXICV, 245-250. doi: 10.1007/978-3-319-24478-5_40

    Hu, Y. D., Fan, J., Zhang, H., Chen, X. X., & Dai, G. J. (2016). An estimated method of urban PM2.5 concentration distribution for a mobile sensing system. Pervasive and Mobile Computing, 25, 88-103. doi: 10.1016/j.pmcj.2015.06.004

    Ivey, C.E., Holmes, H.A., Hu, Y.T., Mulholland, J.A., & Russell, A.G. (2016). A method for quantifying bias in modeled concentrations and source impacts for secondary particulate matter. Frontiers of Environmental Science & Engineering, 10(5). doi: 10.1007/s11783-016-0866-6

    Ivey, C.E., Holmes, H.A., Hu, Y.T., Mulholland, J.A., & Russell, A.G. (2016). Application of a hybrid chemical transport-receptor model to develop region-specific source profiles for PM2.5 sources and to assess source impact changes in the United States. Air Pollution Modeling and its Application XXIV, 489-495. doi: 10.1007/978-3-319-24478-5_78

    Jeon, W., Choi, Y., Percell, P., Souri A. H., Song, C. K, Kim, S. T., Kim, J. (2016). Computationally efficient air quality forecasting tool: implementation of STOPS v1.5 model into CMAQ v5.0.2 for a prediction of Asian dust. Geoscientific Model Development, 9(10), 3671-3684. doi: 10.5194/gmd-9-3671-2016

    Kanda, I., Basaldud, R., Magana, M., Retama, A., Kubo, R., & Wakamatsu, S. (2016). Comparison of ozone production regimes between two Mexican cities: Guadalajara and Mexico City. Atmosphere, 7(7). doi: 10.3390/atmos7070091

    Kang, Y.H., Song, S.K., Hwang, M.K., Jeong, J.H., Kim Y.K. (2016). Impacts of detailed land-use types and urban heat in an urban canopy model on local meteorology and ozone levels for air quality modeling in a coastal city, Korea. Terrestrial Atmospheric and Oceanic Sciences, 27(6), 877-891. doi: 10.3319/TAO.2016.01.13.01(A)

    Kelly, J. T., Baker, K. R., Nolte, C. G., Napelenok, S. L., Keene, W. C., & Pszenny, A. A. P. (2016). Simulating the phase partitioning of NH3, HNO3, and HCl with size-resolved particles over northern Colorado in winter. Atmospheric Environment, 131, 67-77. doi: 10.1016/j.atmosenv.2016.01.049

    Kim, H. C., Lee, P., Judd, L., Pan, L., & Lefer, B. (2016). OMI NO2 column densities over North American urban cities: the effect of satellite footprint resolution. Geoscientific Model Development, 9(3), 1111-1123. doi: 10.5194/gmd-9-1111-2016

    Kioutsioukis, I., Im, U., Solazzo, E., Bianconi, R., Badia, A., ... , & Galmarini, S. (2016). Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data. Atmospheric Chemistry and Physics, 16, 15629-15652. doi: 10.5194/acp-16-15629-2016

    Lee, P., Atlas, R., Carmichael, G., Tang, Y. H., Pierce, B., Biazar, A. P., Pan, L., Kim, H., Tong, D., & Chen, W. W. (2016). Observing system simulation experiments (OSSEs) using a regional air quality application for evaluation. Air Pollution Modeling and its Application XXIV, 599-605. doi: 10.1007/978-3-319-24478-5_97

    Lee, S., Song, C. H., Park, R. S., Park, M. E., Han, K. M., Kim, J., . . . Woo, J. H. (2016). GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia. Geoscientific Model Development, 9(1), 17-39. doi: 10.5194/gmd-9-17-2016

    Li, L., An, J. Y., Shi, Y. Y., Zhou, M., Yan, R. S., Huang, C., … Wu, J. (2016). Source apportionment of surface ozone in the Yangtze River Delta, China in the summer of 2013. Atmospheric Environment, 144, 194-207. doi: 10.1016/j.atmosenv.2016.08.076

    Li, M. S., Ren, X. X., Zhou, L., & Zhang, F. Y. (2016). Spatial mismatch between pollutant emission and environmental quality in China - A case study of NOx. Atmospheric Pollution Research, 7(2), 294-302. doi: 10.1016/j.apr.2015.10.005

    Li, N., Chen, J.P. Tsai, I.C., He, Q.Y., Chi, S.Y., Lin, Y.C., & Fu, T.M. (2016). Potential impacts of electric vehicles on air quality in Taiwan. Science of the Total Environment, 566, 919-928. doi: 10.1016/j.scitotenv.2016.05.105

    Li, X. S., Choi, Y., Czader, B., Roy, A., Kim, H., Lefer, B., & Pan, S. (2016). The impact of observation nudging on simulated meteorology and ozone concentrations during DISCOVER-AQ 2013 Texas campaign. Atmospheric Chemistry and Physics, 16(5), 3127-3144. doi: 10.5194/acp-16-3127-2016

    Li, Y., Schichtel, B., Walker, J., Schwede, D., Chen, X., Lehmann, C.M.B., … , & Collett Jr, J.L. (2016). Increasing importance of deposition of reduced nitrogen in the United States. PNAS, 113(21), 5876-5879. doi: 10.1073/pnas.1525736113

    Long, S. C., Zhu, Y., Jang, C., Lin, C. J., Wang, S. X., Zhao, B., . . . Qiu, X. Z. (2016). A case study of development and application of a streamlined control and response modeling system for PM2.5 attainment assessment in China. Journal of Environmental Sciences, 41, 69-80. doi: 10.1016/j.jes.2015.05.019

    Loughner, C.P., Tzortziou, M., Shroder, S., & Pickering, K.E. (2016). Enhanced dry deposition of nitrogen pollution near coastlines: A case study covering the Chesapeake Bay estuary and Atlantic Ocean coastline. Journal of Geophysical Research – Atmospheres, 121(3), 14221-14238. doi: 10.1002/2016JD025571

    Lu, H.Y., Mwangi, J.K., Wang, L.C., Wu, Y.L., Tseng, C.Y., & Chang, K.H. (2016). Atmospheric PM2.5 characteristics and long-term trends in Tainan City, Southern Taiwan. Aerosol and Air Quality Research, 16(10), 2488-2511. doi: 10.4209/aaqr.2016.07.0332

    Lu, X.C., Yao, T., Fung, J.C.H., & Lin, C.Q. (2016). Estimation of health and economic costs of air pollution over the Pearl River Delta region in China. Science of the Total Environment, 566, 134-143. doi: 10.1016/j.scitotenv.2016.05.060

    Mac Kinnon, M., Shaffer, B., Carreras-Sospedra, M., Dabdub, D., Samuelsen, G. S., Brouwer, J. (2016). Air quality impacts of fuel cell electric hydrogen vehicles with high levels of renewable power generation. International Journal of Hydrogen Energy, 41(38), 16592-16603. doi: 10.1016/j.ijhydene.2016.07.054

    Madaniyazi, L., Nagashima, T., Guo, Y. M., Pan, X. C., & Tong, S. L. (2016). Projecting ozone-related mortality in East China. Environment International, 92-93, 165-172. doi: 10.1016/j.envint.2016.03.040

    Mai, J. H., Deng, T., Yu, L. L., Deng, X. J., Tan, H. B., Wang, S. Q., & Liu, X. T. (2016). A modeling study of impact of emission control strategies on PM2.5 reductions in Zhongshan, China, using WRF-CMAQ. Advances in Meteorology. doi: 10.1155/2016/5836070

    Marais, E.A., Jacob, D.J., Jimenez, J.L., Campuzano-Jost, P., Day, D.A., Hu, W., … , & McNeill, V.F. (2016.) Aqueous-phase mechanism for secondary organic aerosol formation from isoprene: application to the southeast United States and co-benefit of SO2 emission controls. Atmospheric Chemistry and Physics, 16, 1603-1618. doi: 10.5194/acp-16-1603-2016

    Mathur, R., Xing, J., Napelenok, S., Pleim, J., Hogrefe, C., Wong, D., Gan, C. M., & Kang, D. W. (2016). Multiscale modeling of multi-decadal trends in ozone and precursor species across the Northern Hemisphere and the United States. Air Pollution Modeling and its Application XXIV, 239-243. doi: 10.1007/978-3-319-24478-5_39

    Matthias, V., Aulinger, A., Backes, A., Bieser, J., Geyer, B., Quante, M., & Zeretzke, M. (2016). The impact of shipping emissions on air pollution in the greater North Sea region - Part 2: Scenarios for 2030. Atmospheric Chemistry and Physics, 16(2), 759-776. doi: 10.5194/acp-16-759-2016

    Mazzuca, G.M., Ren, X., Loughner, C.P., Estes, M., Crawford, J.H., Pickering, K.E., Weinheimer, A.J., & Dickerson, R.R. (2016). Ozone production and its sensitivity to NOx and VOCs: results from the DISCOVER-AQ field experiment, Houston 2013. Atmospheric Chemistry and Physics, 16, 14463-14474. doi: 10.5194/acp-16-14463-2016

    Mendola, P., Wallace, M., Liu, D. P., Robledo, C., Mannisto, T., & Grantz, K. L. (2016). Air pollution exposure and preeclampsia among US women with and without asthma. Environmental Research, 148, 248-255. doi: 10.1016/j.envres.2016.04.004

    Minoura, H., Chow, J.C., Watson, J.G., Fu, J.S., Dong, X.Y., & Yang, C.E. (2016). Vertical circulation of atmospheric pollutants near mountains during a Southern California ozone episode. Aerosol and Air Quality Research, 16(10), 2396-2404. doi: 10.4209/aaqr.2015.09.0554

    Mirabelli, M.C., Vaidyanathan, A., Flanders, W.D., Qin, X.T., & Garbe, P. (2016). Outdoor PM2.5, ambient air temperature, and asthma symptoms in the past 14 days among adults with active asthma. Environmental Health Perspectives, 124(12), 1882-1890. doi: 10.1289/EHP92

    Napelenok, S. L. & Luecken, D. (2016). Sensitivity-based VOC reactivity calculation. Air Pollution Modeling and its Application XXIV, 233-237. doi: 10.1007/978-3-319-24478-5_38

    Neumann, D., Matthias, V., Bieser, J., Aulinger, A., & Quante, M. (2016). Sensitivity of modeled atmospheric nitrogen species and nitrogen deposition to variations in sea salt emissions in the North Sea and Baltic Sea regions. Atmospheric Chemistry and Physics, 16(5), 2921-2942. doi: 10.5194/acp-16-2921-2016

    Neumann, D., Bieser, J., Aulinger, A., & Matthias, V. (2016). Effect of sea salt emissions on anthropogenic air pollution and nitrogen deposition in Northwestern Europe. Air Pollution Modeling and its Application XXIV, 55-59. doi: 10.1007/978-3-319-24478-5_9

    Nowlan, C. R., Liu, X., Leitch, J., Chance, K., Abad, G. G., Liu, C., . . . Al-Saadi, J. A. (2016). Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013. Atmospheric Measurement Techniques, 9(6), 2647-2668. doi: 10.5194/amt-9-2647-2016

    Park, S. U., Lee, I. H., & Joo, S. J. (2016). Spatial and temporal distributions of aerosol concentrations and depositions in Asia during the year 2010. Science of the Total Environment, 542, 210-222. doi: 10.1016/j.scitotenv.2015.10.084

    Park, S. Y., Kim, D. H., Lee, S. H., & Lee, H. W. (2016). Variational data assimilation for the optimized ozone initial state and the short-time forecasting. Atmospheric Chemistry and Physics, 16(5), 3631-3649. doi: 10.5194/acp-16-3631-2016

    Pleim, J., Gilliam, R., Appel, W., & Ran, L. (2016). Recent advances in modeling of the atmospheric boundary layer and land surface in the coupled WRF-CMAQ Model. Air Pollution Modeling and its Application XXIV, 391-396. doi: 10.1007/978-3-319-24478-5_64

    Porter, P.S., Rao, S. T., Hogrefe, C., Gego, E., & Mathur, R. (2016). Metamodels for Ozone: Comparison of Three Estimation Techniques. Air Pollution Modeling and its Application, 537-542. doi: 10.1007/978-3-319-24478-5_86

    Pouliot, G., Rao, V., McCarty, J.L., Soja, A. (2016). Development of the crop residue and rangeland burning in the 2014 National Emissions Inventory using information from multiple sources. Journal of the Air and Waste Management Association, 67(5), 613-622. doi: 10.1080/10962247.2016.1268982

    Ran, L. M., Pleim, J., Gilliam, R., Hogrefe, C., Binkowski, F., & Band, L. (2016). Application and Evaluation of MODIS LAI, FPAR, and Albedo Products in the WRF/CMAQ System. Air Pollution Modeling and its Application XXIV, 619-624. doi: 10.1007/978-3-319-24478-5_100

    Ran, L. M., Pleim, J., Gilliam, R., Binkowski, F. S., Hogrefe, C., & Band, L. (2016). Improved meteorology from an updated WRF/CMAQ modeling system with MODIS vegetation and albedo. Journal of Geophysical Research-Atmospheres, 121(5), 2393-2415. doi: 10.1002/2015jd024406

    Rasool, Q. Z., Zhang, R., Lash, B., Cohan, D. S., Cooter, E. J., Bash, J. O., & Lamsal, L. N. (2016). Geoscientific Model Development, 9(9), 3177-3197. doi: 10.5194/gmd-9-3177-2016

    Sakulyanontvittaya, T., Cho, S., Aklilu, Y. A., Morris, R., & Nopmongcol, U. (2016). An assessment of enhanced biogenic emissions influence on ozone formation in central Alberta, Canada. Air Quality Atmosphere and Health, 9(2), 117-127. doi: 10.1007/s11869-015-0324-9

    San Jose, R., Perez, J. L., Gonzalez, R. M., Pecci, J., Garzon, A., & Palacios, M. (2016). Impacts of the 4.5 and 8.5 RCP global climate scenarios on urban meteorology and air quality: Application to Madrid, Antwerp, Milan, Helsinki and London. Journal of Computational and Applied Mathematics, 293, 192-207. doi: 10.1016/j.cam.2015.04.024

    Sarwar, G., Kang, D., Foley, K., Schwede, D., Gantt, B., & Mathur, R. (2016). Technical note: Examining ozone deposition over seawater. Atmospheric Environment, 141, 255-262. doi: 10.1016/j.atmosenv.2016.06.072

    Scheffe, R.D., Strum, M., Phillips, S.B., Thurman, J., Eyth, A., Fudge, S., Morris, M., Palma, T., & Cook, R. (2016). Hybrid modeling approach to estimate exposures of hazardous air pollutants (HAPs) for the National Air Toxics Assessment (NATA). Environmental Science & Technology, 50(22), 12356-12364. doi: 10.1021/acs.est.6b04752

    Seltzer, K. M., Nolte, C. G., Spero, T. L., Appel, K. W., & Xing, J. (2016). Evaluation of near surface ozone and particulate matter in air quality simulations driven by dynamically downscaled historical meteorological fields. Atmospheric Environment, 138, 42-54. doi: 10.1016/j.atmosenv.2016.05.010

    Sharma, S., Chatani, S., Mahtta, R., Goel, A., & Kumar, A. (2016). Sensitivity analysis of ground level ozone in India using WRF-CMAQ models. Atmospheric Environment, 131, 29-40. doi: 10.1016/j.atmosenv.2016.01.036

    Shimadera, H., Kojima, T., & Kondo, A. (2016). Evaluation of air quality model performance for simulating long-range transport and local pollution of PM2.5 in Japan. Advances in Meterology. doi: 10.1155/2016/5694251

    Shu, L., Xie, M., Wang, T., Gao, D., Chen, P., Han, Y., Li, S., Zhuang, B., & Li, M. (2016). Integrated studies of a regional ozone pollution synthetically affected by subtropical high and typhoon system in the Yangtze River Delta region, China. Atmospheric Chemistry and Physics, 16, 15801-15819. doi: 10.5194/acp-16-15801-2016

    Souri, A. H., Choi, Y. S., Jeon, W. B., Li, X. S., Pan, S., Diao, L. J., & Westenbarger, D. A. (2016). Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign. Atmospheric Environment, 131, 371-381. doi: 10.1016/j.atmosenv.2016.02.020

    Spero, T., Nolte, C., Bowden, J., Mallard, M., & Herwehe, J. (2016). The impact of incongruous lake temperatures on regional climate extremes downscaled from the CMIP5 archive using the WRF model. J. Clim., 29(2), 839-853. doi: 10.1175/jcli-d-15-0233.1

    Stajner, I., Lee, P., McQueen, J., Draxler, R., Dickerson, P., & Upadhayay, S. (2016). Update on NOAA’s operational air quality predictions. Air Pollution Modeling and its Application XXIV, 593-597. doi: 10.1007/978-3-319-24478-5_96

    Sun, Y., Wang, H. X. J., & Fuentes, M. (2016). Fused adaptive lasso for spatial and temporal quantile function estimation. Technometrics, 58(1), 127-137. doi: 10.1080/00401706.2015.1017115

    Syrakov, D., Prodanova, M., Georgieva, E., Etropolska, I., & Slavov, K. (2016). Simulation of European air quality by WRF-CMAQ models using AQMEII-2 infrastructure. Journal of Computational and Applied Mathematics, 293, 232-245. doi: 10.1016/j.cam.2015.01.032

    Tang, Y. H., Pan, L., Lee, P., Tong, D., Kim, H. C., Wang, J., & Lu, S. (2016). The Performance and Issues of a Regional Chemical Transport Model During Discover-AQ 2014 Aircraft Measurements Over Colorado. Air Pollution and its Application XXIV, 635-640. doi: 10.1007/978-3-319-24478-5_103

    Toyota, K., Dastoor, A.P., & Ryzhkov, A. (2016). Parameterization of gaseous dry deposition in atmospheric chemistry models: Sensitivity to aerodynamic resistance formulations under statically stable conditions. Atmospheric Environment, 147, 409-422. doi: 10.1016/j.atmosenv.2016.09.055

    Valverde, V., Pay, M. T., & Baldasano, J. M. (2016). A model-based analysis of SO2 and NO2 dynamics from coal-fired power plants under representative synoptic circulation types over the Iberian Peninsula. Science of the Total Environment, 541, 701-713. doi: 10.1016/j.scitotenv.2015.09.111

    Valverde, V., Pay, M. T., & Baldasano, J. M. (2016). Ozone attributed to Madrid and Barcelona on-road transport emissions: Characterization of plume dynamics over the Iberian Peninsula. Science of the Total Environment, 543, 670-682. doi: 10.1016/j.scitotenv.2015.11.070

    Wallace, M. E., Grantz, K. L., Liu, D. P., Zhu, Y. Y., Kim, S. S., & Mendola, P. (2016). Exposure to Ambient Air Pollution and Premature Rupture of Membranes. American Journal of Epidemiology, 183(12), 1114-1121. doi: 10.1093/aje/kwv284

    Wang, N., Lyu, X.P., Deng, X.J., Guo, H., Deng, T., Li, Y., Yin, C.Q., Li, F., & Wang, S.Q. (2016). Assessment of regional air quality resulting from emission control in the Pearl River Delta region, southern China. Science of the Total Environment, 573, 1554-1565. doi: 10.1016/j.scitotenv.2016.09.013

    Webb, J., Jephcote, C., Fraser, A., Wiltshire, J., Aston, S., Rose, R., . . . Roth, B. (2016). Do UK crops and grassland require greater inputs of sulphur fertilizer in response to recent and forecast reductions in sulphur emissions and deposition? Soil Use and Management, 32(1), 3-16. doi: 10.1111/sum.12250

    Weber, S. A., Insaf, T. Z., Hall, E. S., Talbot, T. O., & Huff, A. K. (2016). Assessing the impact of fine particulate matter (PM2.5) on respiratory cardiovascular chronic diseases in the New York City Metropolitan area using Hierarchical Bayesian Model estimates. Environmental Research, 151, 399-409. doi: 10.1016/j.envres.2016.07.012

    Wei, X. L., Lam, K. S., Cao, C. Y., Li, H., & He, J. J. (2016). Dynamics of the Typhoon Haitang Related High Ozone Episode over Hong Kong. Advances in Meteorology. doi: 10.1155/2016/6089154

    Wolfe, P.J., Giang, A., Ashok, A., Selin, N. E., & Barrett, S. R. H. (2016). Costs of IQ loss from leaded aviation gasoline emissions. Environmental Science & Technology, 50(17), 9026-9033. doi: 10.1021/acs.est.6b02910

    Wong, D. C., Cai, C. X., Pleim, J., Mathur, R., & Murphy, M. S. (2016). Validation of the WRF-CMAQ Two-Way Model with Aircraft Data and High Resolution MODIS Data in the CA 2008 Wildfire Case. Air Pollution Modeling and its Application XXIV, 531-535. doi: 10.1007/978-3-319-24478-5_85

    Woody, M. C., Baker, K. R., Hayes, P. L., Jimenez, J. L., Koo, B., & Pye, H. O. T. (2016). Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS. Atmospheric Chemistry and Physics, 16(6), 4081-4100.

    Woody, M.C., Wong, H.-W., West, J.J., & Arunachalam, S. (2016). Multiscale predictions of aviation-attributable PM2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model. Atmospheric Environment, 147, 384-394. doi: 10.1016/j.atmosenv.2016.10.016

    Xiao, Q., Liu, Y., Mulholland, J.A., Russell, A.G., Darrow, L.A., Tolbert, P.E., & Strickland, M.J. (2016). Pediatric emergency department visits and ambient air pollution in the U.S. State of Georgia: a case-crossover study. Environmental Health, (15)115. doi: 10.1186/s12940-016-0196-y

    Xing, J., Mathur, R., Pleim, J., Hogrefe, C., Wang, J.D., Gan, C.M., Sarwar, G., Wong, D.C., & McKeen, S. (2016). Representing the effects of stratosphere-troposphere exchange on 3-D O3 distributions in chemistry transport models using a potential vorticity-based parameterization. Atmospheric Chemistry and Physics, 16, 10865-10877. doi: 10.5194/acp-16-10865-2016

    Xing, J., Wang, J.D., Mathur, R., Pleim, J., Wang, S.X., Hogrefe, C., Gan, C.M., Wong, D.C., & Hao, J.M. (2016). Unexpected benefits of reducing aerosol cooling effects. Environmental Science and Technology, 50(14), 7527-7534. doi: 10.1021/acs.est.6b00767

    Xu, J. X., Zheng, Y. F., He, Y. H., Wu, R. J., Mai, B. R., & Kang, H. Q. (2016). The Effect of Elevated Ozone Concentrations with Varying Shading on Dry Matter Loss in a Winter Wheat-Producing Region in China. PloS One, 11(1). doi: 10.1371/journal.pone.0145446

    Yan, H.H., Li, X.J., Zhang, X.Y., Wang, W.H., Chen, L.F., Zhang, M.G., & Xu, J. (2016). Comparison and validation of band residual difference algorithm and principal component analysis algorithm for retrievals of atmospheric SO2 columns from satellite observations. Acta Physica Sinica, 65(8). doi: 10.7498/aps.65.084204

    Yu, H. F., & Stuart, A. L. (2016). Exposure and inequality for select urban air pollutants in the Tampa Bay area. Science of the Total Environment, 551, 474-483. doi: 10.1016/j.scitotenv.2016.01.157

    Zeng, T., Liu, Z., & Wang, Y. H. (2016). Large fire emissions in summer over the southeastern US: Satellite measurements and modeling analysis. Atmospheric Environment, 127, 213-220. doi: 10.1016/j.atmosenv.2015.12.025

    Zhai, S. X., An, X. Q., Liu, Z., Sun, Z. B., & Hou, Q. (2016). Model assessment of atmospheric pollution control schemes for critical emission regions. Atmospheric Environment, 124, 367-377. doi: 10.1016/j.atmosenv.2015.08.093

    Zhai, X., Russell, A.G., Sampath, P., Mulholland, J.A., Kim, B.-U., Kim, Y., & D’Onofrio, D. (2016). Calibrating R-LINE model results with observational data to develop annual mobile source air pollutant fields at fine spatial resolution: Application in Atlanta. Atmospheric Environment, 147, 446-457. doi: 10.1016/j.atmosenv.2016.10.015

    Zhang, J., Wang, P., Li, J.Y., Mendola, P., Sherman, S., & Ying, Q. (2016). Estimating population exposure to ambient polycyclic aromatic hydrocarbon in the United States – Part II: Source apportionment and cancer risk assessment. Environment International, 97, 163-170. doi: 10.1016/j.envint.2016.08.024

    Zhang, Y., Zhang, X., Wang, L. T., Zhang, Q., Duan, F. K., & He, K. B. (2016). Application of WRF/Chem over East Asia: Part I. Model evaluation and intercomparison with MM5/CMAQ. Atmospheric Environment, 124, 285-300. doi: 10.1016/j.atmosenv.2015.07.022

    Zheng, Y., Alapaty, K., Herwehe, J., Del Genio, A., & Niyogi, D. (2016). Improving high-resolution weather forecasts using the Weather Research and Forecasting (WRF) model with an updated Kain-Fritsch scheme. Mon. Weather Rev., 144(3), 833-860. doi: 10.1175/mwr-d-15-0005.1

    Zhong, H., Zhao, Y., Muntean, M., Zang, L., & Zhang, J. (2016). A high-resolution regional emission inventory of atmospheric mercury and its comparison with multi-scale inventories: a case study of Jiangsu, China. Atmospheric Chemistry and Physics, 16, 15119-15134. doi: 10.5194/acp-16-15119-2016

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    2015

    Baker, K. R., Carlton, A. G., Kleindienst, T. E., Offenberg, J. H., Beaver, M. R., Gentner, D. R., . . . Surratt, J. D. (2015). Gas and aerosol carbon in California: comparison of measurements and model predictions in Pasadena and Bakersfield. Atmospheric Chemistry and Physics, 15(9), 5243-5258. doi: 10.5194/acp-15-5243-2015

    Baldassarre, G., Pozzoli, L., Schmidt, C. C., Unal, A., Kindap, T., Menzel, W. P., . . . Kaiser, J. W. (2015). Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: a case study over Antalya in 2008. Atmospheric Chemistry and Physics, 15(14), 8539-8558. doi: 10.5194/acp-15-8539-2015

    Bash, J.O., Walker, J.T., Shephard, M.W., Cady-Pereira, K., Henze, D.K., Schwede, D.B., Zhu, L., & Cooter, E.J. (2015). Modeling reactive nitrogen in North America: recent developments, observational needs, and future directions. Environmental Manager: Air and Waste Management Association, Pittsburgh, PA, 36-42.

    Bastien, L. A. J., McDonald, B. C., Brown, N. J., & Harley, R. A. (2015). High-Resolution Mapping of Sources Contributing to Urban Air Pollution Using Adjoint Sensitivity Analysis: Benzene and Diesel Black Carbon. Environmental Science & Technology, 49(12), 7276-7284. doi: 10.1021/acs.est.5b00686

    Butler, T., Marino, R., Schwede, D., Howarth, R., Sparks, J., & Sparks, K. (2015). Atmospheric ammonia measurements at low concentration sites in the northeastern USA: implications for total nitrogen deposition and comparison with CMAQ estimates. Biogeochemistry, 122(2-3), 191-210. doi: 10.1007/s10533-014-0036-5

    Canty, T. P., Hembeck, L., Vinciguerra, T. P., Anderson, D. C., Goldberg, D. L., Carpenter, S. F., . . . Dickerson, R. R. (2015). Ozone and NOx chemistry in the eastern US: evaluation of CMAQ/CB05 with satellite (OMI) data. Atmospheric Chemistry and Physics, 15(19), 10965-10982. doi: 10.5194/acp-15-10965-2015

    Chen, D. S., Xu, T. T., Li, Y., Zhou, Y., Lang, J. L., Liu, X. X., & Shi, H. D. (2015). A Hybrid Approach to Forecast Air Quality during High-PM Concentration Pollution Period. Aerosol and Air Quality Research, 15(4), 1325-1337. doi: 10.4209/aaqr.2014.10.0253

    Chen, Y. S., Hobbs, B. F., Ellis, J. H., Crowley, C., & Joutz, F. (2015). Impacts of climate change on power sector NOx emissions: A long-run analysis of the US mid-atlantic region. Energy Policy, 84, 11-21. doi: 10.1016/j.enpol.2015.04.013

    Cheng, F. Y., Jian, S. P., Yang, Z. M., Yen, M. C., & Tsuang, B. J. (2015). Influence of regional climate change on meteorological characteristics and their subsequent effect on ozone dispersion in Taiwan. Atmospheric Environment, 103, 66-81. doi: 10.1016/j.atmosenv.2014.12.020

    Cleary, P. A., Fuhrman, N., Schulz, L., Schafer, J., Fillingham, J., Bootsma, H., . . . Brown, S. S. (2015). Ozone distributions over southern Lake Michigan: comparisons between ferry-based observations, shoreline-based DOAS observations and model forecasts. Atmospheric Chemistry and Physics, 15(9), 5109-5122. doi: 10.5194/acp-15-5109-2015

    Czader, B. H., Choi, Y., Li, X., Alvarez, S., & Lefer, B. (2015). Impact of updated traffic emissions on HONO mixing ratios simulated for urban site in Houston, Texas. Atmospheric Chemistry and Physics, 15(3), 1253-1263. doi: 10.5194/acp-15-1253-2015

    Czader, B. H., Percell, P., Byun, D., Kim, S., & Choi, Y. (2015). Development and evaluation of the Screening Trajectory Ozone Prediction System (STOPS, version 1.0). Geoscientific Model Development, 8(5), 1383-1394. doi: 10.5194/gmd-8-1383-2015

    Czader, B. H., & Rappengluck, B. (2015). Modeling of 1,3-butadiene in urban and industrial areas. Atmospheric Environment, 102, 30-42. doi: 10.1016/j.atmosenv.2014.11.039

    Djalalova, I., Delle Monache, L., & Wilczak, J. (2015). PM2.5 analog forecast and Kalman filter post-processing for the Community Multiscale Air Quality (CMAQ) model. Atmospheric Environment, 108, 76-87. doi: 10.1016/j.atmosenv.2015.02.021

    Djalalova, I., Delle Monache, L., & Wilczak, J. (2015). PM2.5 analog forecast and Kalman filter post-processing for the Community Multiscale Air Quality (CMAQ) model (vol 108, pg 76, 2015). Atmospheric Environment, 119, 430-430. doi: 10.1016/j.atmosenv.2015.05.058

    Djalalova, I., Delle Monache, L., & Wilczak, J. (2015). PM2.5 analog forecast and Kalman filter post-processing for the Community Multiscale Air Quality (CMAQ) model (vol 108, pg 76, 2015). Atmospheric Environment, 119, 431-442. doi: 10.1016/j.atmosenv.2015.05.057

    Dolwick, P., Akhtar, F., Baker, K. R., Possiel, N., Simon, H., & Tonnesen, G. (2015). Comparison of background ozone estimates over the western United States based on two separate model methodologies. Atmospheric Environment, 109, 282-296. doi: 10.1016/j.atmosenv.2015.01.005

    Dong, X. Y., & Fu, J. S. (2015). Understanding interannual variations of biomass burning from Peninsular Southeast Asia, part I: Model evaluation and analysis of systematic bias. Atmospheric Environment, 116, 293-307. doi: 10.1016/j.atmosenv.2015.06.026

    Dunker, A. M., Koo, B., & Yarwood, G. (2015). Source Apportionment of the Anthropogenic Increment to Ozone, Formaldehyde, and Nitrogen Dioxide by the Path-Integral Method in a 3D Model. Environmental Science & Technology, 49(11), 6751-6759. doi: 10.1021/acs.est.5b00467

    Fan, Q., Lan, J., Liu, Y. M., Wang, X. M., Chan, P. W., Fan, S. J., . . . Feng, Y. R. (2015). Diagnostic Analysis of the Sulfate Aerosol Pollution in Spring over Pearl River Delta, China. Aerosol and Air Quality Research, 15(1), 46-57. doi: 10.4209/aaqr.2014.03.0041

    Fan, Q., Lan, J., Liu, Y. M., Wang, X. M., Chan, P. W., Hong, Y. Y., . . . Liang, G. X. (2015). Process analysis of regional aerosol pollution during spring in the Pearl River Delta region, China. Atmospheric Environment, 122, 829-838. doi: 10.1016/j.atmosenv.2015.09.013

    Fann, N., Nolte, C. G., Dolwick, P., Spero, T. L., Brown, A. C., Phillips, S., & Anenberg, S. (2015). The geographic distribution and economic value of climate change-related ozone health impacts in the United States in 2030. Journal of the Air & Waste Management Association, 65(5), 570-580. doi: 10.1080/10962247.2014.996270

    Farkas, C. M., Moeller, M. D., Felder, F. A., Baker, K. R., Rodgers, M., & Carlton, A. G. (2015). Temporalization of Peak Electric Generation Particulate Matter Emissions during High Energy Demand Days. Environmental Science & Technology, 49(7), 4696-4704. doi: 10.1021/es5050248

    Fisher, B. E. A., Chemel, C., Sokhi, R. S., Francis, X. V., Vincent, K. J., Dore, A. J., . . . Wright, R. D. (2015). Regional air quality models and the regulation of atmospheric emissions. Idojaras, 119(3), 355-378.

    Foley, K. M., Dolwick, P., Hogrefe, C., Simon, H., Timin, B., & Possiel, N. (2015). Dynamic evaluation of CMAQ part II: Evaluation of relative response factor metrics for ozone attainment demonstrations. Atmospheric Environment, 103, 188-195. doi: 10.1016/j.atmosenv.2014.12.039

    Foley, K. M., Hogrefe, C., Pouliot, G., Possiel, N., Roselle, S. J., Simon, H., & Timin, B. (2015). Dynamic evaluation of CMAQ part I: Separating the effects of changing emissions and changing meteorology on ozone levels between 2002 and 2005 in the eastern US. Atmospheric Environment, 103, 247-255. doi: 10.1016/j.atmosenv.2014.12.038

    Fu, X., Wang, S. X., Ran, L. M., Pleim, J. E., Cooter, E., Bash, J. O., . . . Hao, J. M. (2015). Estimating NH3 emissions from agricultural fertilizer application in China using the bi-directional CMAQ model coupled to an agro-ecosystem model. Atmospheric Chemistry and Physics, 15(12), 6637-6649. doi: 10.5194/acp-15-6637-2015

    Gan, C. M., Binkowski, F., Pleim, J., Xing, J., Wong, D., Mathur, R., & Gilliam, R. (2015). Assessment of the aerosol optics component of the coupled WRF-CMAQ model using CARES field campaign data and a single column model. Atmospheric Environment, 115, 670-682. doi: 10.1016/j.atmosenv.2014.11.028

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    Gantt, B., Kelly, J. T., & Bash, J. O. (2015). Updating sea spray aerosol emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2. Geoscientific Model Development, 8(11), 3733-3746. doi: 10.5194/gmd-8-3733-2015

    Garner, G. G., Thompson, A. M., Lee, P., & Martins, D. K. (2015). Evaluation of NAQFC model performance in forecasting surface ozone during the 2011 DISCOVER-AQ campaign. Journal of Atmospheric Chemistry, 72(3-4), 483-501. doi: 10.1007/s10874-013-9251-z

    Georgieva, E., Syrakov, D., Prodanova, M., Etropolska, I., & Slavov, K. (2015). Evaluating the performance of WRF-CMAQ air quality modelling system in Bulgaria by means of the DELTA tool. International Journal of Environment and Pollution, 57(3-4), 272-284.

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    Goto, D., Dai, T., Satoh, M., Tomita, H., Uchida, J., Misawa, S., . . . Nakajima, T. (2015). Application of a global nonhydrostatic model with a stretched-grid system to regional aerosol simulations around Japan. Geoscientific Model Development, 8(2), 235-259. doi: 10.5194/gmd-8-235-2015

    Han, K. M., Lee, S., Chang, L. S., & Song, C. H. (2015). A comparison study between CMAQ-simulated and OMI-retrieved NO2 columns over East Asia for evaluation of NOx emission fluxes of INTEX-B, CAPSS, and REAS inventories. Atmospheric Chemistry and Physics, 15(4), 1913-1938. doi: 10.5194/acp-15-1913-2015

    Harkey, M., Holloway, T., Oberman, J., & Scotty, E. (2015). An evaluation of CMAQ NO2 using observed chemistry-meteorology correlations. Journal of Geophysical Research-Atmospheres, 120(22). doi: 10.1002/2015jd023316

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    Ying, Q., Li, J. Y., & Kota, S. H. (2015). Significant Contributions of Isoprene to Summertime Secondary Organic Aerosol in Eastern United States. Environmental Science & Technology, 49(13), 7834-7842. doi: 10.1021/acs.est.5b02514

    Zabkar, R., Honzak, L., Skok, G., Forkel, R., Rakovec, J., Ceglar, A., & Zagar, N. (2015). Evaluation of the high resolution WRF-Chem (v3.4.1) air quality forecast and its comparison with statistical ozone predictions. Geoscientific Model Development, 8(7), 2119-2137. doi: 10.5194/gmd-8-2119-2015

    Zhang, W. X., Trail, M. A., Hu, Y. T., Nenes, A., & Russell, A. G. (2015). Use of high-order sensitivity analysis and reduced-form modeling to quantify uncertainty in particulate matter simulations in the presence of uncertain emissions rates: A case study in Houston. Atmospheric Environment, 122, 103-113. doi: 10.1016/j.atmosenv.2015.08.091

    Zhang, X. L., Zhou, Q. Q., Chen, W. W., Wang, Y. Y., & Tong, D. Q. (2015). Observation and modeling of black soil wind-blown erosion from cropland in Northeastern China. Aeolian Research, 19, 153-162. doi: 10.1016/j.aeolia.2015.07.009

    Zheng, B., Zhang, Q., Zhang, Y., He, K. B., Wang, K., Zheng, G. J., . . . Kimoto, T. (2015). Heterogeneous chemistry: a mechanism missing in current models to explain secondary inorganic aerosol formation during the January 2013 haze episode in North China. Atmospheric Chemistry and Physics, 15(4), 2031-2049. doi: 10.5194/acp-15-2031-2015

    Zhou, Y., Cheng, S. Y., Chen, D. S., Lang, J. L., Wang, G., Xu, T. T., . . . Yao, S. (2015). Temporal and Spatial Characteristics of Ambient Air Quality in Beijing, China. Aerosol and Air Quality Research, 15(5), 1868-1880. doi: 10.4209/aaqr.2014.11.0306

    Zhu, B., Kang, H. Q., Zhu, T., Su, J. F., Hou, X. W., & Gao, J. H. (2015). Impact of Shanghai urban land surface forcing on downstream city ozone chemistry. Journal of Geophysical Research-Atmospheres, 120(9), 4340-4351. doi: 10.1002/2014jd022859

    Zhu, J., Wang, T., Bieser, J., & Matthias, V. (2015). Source attribution and process analysis for atmospheric mercury in eastern China simulated by CMAQ-Hg. Atmospheric Chemistry and Physics, 15(15), 8767-8779. doi: 10.5194/acp-15-8767-2015

    Zhu, L., Henze, D., Bash, J., Jeong,G.R., Cady-Pereira, K., … , & Capps, S. (2015). Global evaluation of ammonia bidirectional exchange and livestock diurnal variation schemes. Atmos. Chem. Phys., 15, 12823-12843. doi: 10.5194/acp-15-12823-2015.

    Zhu, Y. Y., Zhang, C. L., Liu, D. P., Grantz, K. L., Wallace, M., & Mendola, P. (2015). Maternal ambient air pollution exposure preconception and during early gestation and offspring congenital orofacial defects. Environmental Research, 140, 714-720. doi: 10.1016/j.envres.2015.06.002

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    2014

    Anderson, D. C., Loughner, C. P., Diskin, G., Weinheimer, A., Canty, T. P., Salawitch, R. J., . . . Dickerson, R. R. (2014). Measured and modeled CO and NOy in DISCOVER-AQ: An evaluation of emissions and chemistry over the eastern US. Atmospheric Environment, 96, 78-87. doi: 10.1016/j.atmosenv.2014.07.004

    Arunachalam, S., Valencia, A., Akita, Y., Serre, M. L., Omary, M., Garcia, V., & Isakov, V. (2014). A Method for Estimating Urban Background Concentrations in Support of Hybrid Air Pollution Modeling for Environmental Health Studies. International Journal of Environmental Research and Public Health, 11(10), 10518-10536. doi: 10.3390/ijerph111010518

    Arunachalam, S., Woody, M., Rissman, J., Binkowski, F., Wong, H. W., Jathar, S., & Robinson, A. (2014). An Enhanced Sub-grid Scale Approach to Characterize Air Quality Impacts of Aircraft Emissions. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 327-332).

    Baldasano, J. M., Soret, A., Guevara, M., Martinez, F., & Gasso, S. (2014). Integrated assessment of air pollution using observations and modelling in Santa Cruz de Tenerife (Canary Islands). Science of the Total Environment, 473, 576-588. doi: 10.1016/j.scitotenv.2013.12.062

    Bash, J. O., Carlton, A. G., Hutzell, W. T., & Bullock, O. R. (2014). Regional Air Quality Model Application of the Aqueous-Phase Photo Reduction of Atmospheric Oxidized Mercury by Dicarboxylic Acids. Atmosphere, 5(1), 1-15. doi: 10.3390/atmos5010001

    Batterman, S., Ganguly, R., Isakov, V., Burke, J., Arunachalam, S., Snyder, M., . . . Lewis, T. (2014). Dispersion Modeling of Traffic-Related Air Pollutant Exposures and Health Effects Among Children with Asthma in Detroit, Michigan. Transportation Research Record (2452), 105-113. doi: 10.3141/2452-13

    Berrocal, V. J., Gelfand, A. E., & Holland, D. M. (2014). Assessing exceedance of ozone standards: a space-time downscaler for fourth highest ozone concentrations. Environmetrics, 25(4), 279-291. doi: 10.1002/env.2273

    Bickford, E., Holloway, T., Karambelas, A., Johnston, M., Adams, T., Janssen, M., & Moberg, C. (2014). Emissions and Air Quality Impacts of Truck-to-Rail Freight Modal Shifts in the Midwestern United States. Environmental Science & Technology, 48(1), 446-454. doi: 10.1021/es4016102

    Bieser, J., Aulinger, A., Matthias, V., & Quante, M. (2014). Reconstruction of Past and Prediction of Future Benzo a pyrene Concentrations Over Europe. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 59-63).

    Bieser, J., De Simone, F., Gencarelli, C., Geyer, B., Hedgecock, I., Matthias, V., . . . Weigelt, A. (2014). A diagnostic evaluation of modeled mercury wet depositions in Europe using atmospheric speciated high-resolution observations. Environmental Science and Pollution Research, 21(16), 9995-10012. doi: 10.1007/s11356-014-2863-2

    Brandiyska, A., Ganev, K., Syrakov, D. S., Prodanova, M., & Miloshev, N. (2014). Risk Analysis and Emergency Forecast of Toxic Substances Local Scale Transport Over Bulgaria. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 675-680).

    Buonocore, J. J., Dong, X. Y., Spengler, J. D., Fu, J. S., & Levy, J. I. (2014). Using the Community Multiscale Air Quality (CMAQ) model to estimate public health impacts of PM2.5 from individual power plants. Environment International, 68, 200-208. doi: 10.1016/j.envint.2014.03.031

    Chatani, S., Amann, M., Goel, A., Hao, J., Klimont, Z., Kumar, A., . . . Zhao, B. (2014). Photochemical roles of rapid economic growth and potential abatement strategies on tropospheric ozone over South and East Asia in 2030. Atmospheric Chemistry and Physics, 14(17), 9259-9277. doi: 10.5194/acp-14-9259-2014

    Chemel, C., Fisher, B. E. A., Kong, X., Francis, X. V., Sokhi, R. S., Good, N., . . . Folberth, G. A. (2014). Application of chemical transport model CMAQ to policy decisions regarding PM2.5 in the UK. Atmospheric Environment, 82, 410-417. doi: 10.1016/j.atmosenv.2013.10.001

    Chen, G., Li, J. Y., Ying, Q., Sherman, S., Perkins, N., Rajeshwari, S., & Mendola, P. (2014). Evaluation of observation-fused regional air quality model results for population air pollution exposure estimation. Science of the Total Environment, 485, 563-574. doi: 10.1016/j.scitotenv.2014.03.107

    Chen, J. J., Lu, J., Avise, J. C., DaMassa, J. A., Kleeman, M. J., & Kaduwela, A. P. (2014). Seasonal modeling of PM2.5 in California's San Joaquin Valley. Atmospheric Environment, 92, 182-190. doi: 10.1016/j.atmosenv.2014.04.030

    Chen, L., Zhao, H., Han, B., & Bai, Z. P. (2014). Combined use of WEPS and Models-3/CMAQ for simulating wind erosion source emission and its environmental impact. Science of the Total Environment, 466, 762-769. doi: 10.1016/j.scitotenv.2013.07.090

    Chen, T. F., Chang, K. H., & Tsai, C. Y. (2014). Modeling direct and indirect effect of long range transport on atmospheric PM2.5 levels. Atmospheric Environment, 89, 1-9. doi: 10.1016/j.atmosenv.2014.01.065

    Cheng, Z., Wang, S., Fu, X., Watson, J. G., Jiang, J., Fu, Q., . . . Hao, J. (2014). Impact of biomass burning on haze pollution in the Yangtze River delta, China: a case study in summer 2011. Atmospheric Chemistry and Physics, 14(9), 4573-4585. doi: 10.5194/acp-14-4573-2014

    Choi, K. C., Lee, J. J., Bae, C. H., Kim, C. H., Kim, S., Chang, L. S., . . . Woo, J. H. (2014). Assessment of transboundary ozone contribution toward South Korea using multiple source-receptor modeling techniques. Atmospheric Environment, 92, 118-129. doi: 10.1016/j.atmosenv.2014.03.055

    Choi, Y. (2014). The impact of satellite-adjusted NOx emissions on simulated NOx and O-3 discrepancies in the urban and outflow areas of the Pacific and Lower Middle US. Atmospheric Chemistry and Physics, 14(2), 675-690. doi: 10.5194/acp-14-675-2014

    Christopher, S. A. (2014). Simulation of GOES-R ABI aerosol radiances using WRF-CMAQ: a case study approach. Atmospheric Chemistry and Physics, 14(7), 3183-3194. doi: 10.5194/acp-14-3183-2014

    Cleary, P., Fuhrman, N., Schafer, J., Fillingham, J., Bootsma, H., Williams, E., . . . Brown, S. (2014). Bias of CMAQ model forecast O-3 output over Lake Michigan by comparison with routine ferry-based O-3 observations. Abstracts of Papers of the American Chemical Society, 247.

    Collet, S., Minoura, H., Kidokoro, T., Sonoda, Y., Kinugasa, Y., & Karamchandani, P. (2014). Evaluation of light-duty vehicle mobile source regulations on ozone concentration trends in 2018 and 2030 in the western and eastern United States. Journal of the Air & Waste Management Association, 64(2), 175-183. doi: 10.1080/10962247.2013.845621

    Collet, S., Minoura, H., Kidokoro, T., Sonoda, Y., Kinugasa, Y., Karamchandani, P., . . . DenBleyker, A. (2014). Future year ozone source attribution modeling studies for the eastern and western United States. Journal of the Air & Waste Management Association, 64(10), 1174-1185. doi: 10.1080/10962247.2014.936629

    Crooks, J. L., & Ozkaynak, H. (2014). Simultaneous statistical bias correction of multiple PM2.5 species from a regional photochemical grid model. Atmospheric Environment, 95, 126-141. doi: 10.1016/j.atmosenv.2014.06.024

    Eder, B., Bash, J., Foley, K., & Pleim, J. (2014). Incorporating principal component analysis into air quality model evaluation. Atmospheric Environment, 82, 307-315. doi: 10.1016/j.atmosenv.2013.10.015

    Erdakos, G. B., Bhave, P. V., Pouliot, G. A., Simon, H., & Mathur, R. (2014). Predicting the Effects of Nanoscale Cerium Additives in Diesel Fuel on Regional-Scale Air Quality. Environmental Science & Technology, 48(21), 12775-12782. doi: 10.1021/es504050g

    Fan, Q., Yu, W., Fan, S. J., Wang, X. M., Lan, J., Zou, D. L., . . . Chan, P. W. (2014). Process analysis of a regional air pollution episode over Pearl River Delta Region, China, using the MM5-CMAQ model. Journal of the Air & Waste Management Association, 64(4), 406-418. doi: 10.1080/10962247.2013.816387

    Fei, J. F., Wang, P. F., Cheng, X. P., Huang, X. G., & Wang, Y. B. (2014). A regional simulation study on dispersion of nuclear pollution from the damaged Fukushima Nuclear Power Plant. Science China-Earth Sciences, 57(7), 1513-1524. doi: 10.1007/s11430-013-4811-2

    Flynn, C. M., Pickering, K. E., Crawford, J. H., Lamsal, L., Krotkov, N., Herman, J., . . . Brent, L. (2014). Relationship between column-density and surface mixing ratio: Statistical analysis of O-3 and NO2 data from the July 2011 Maryland DISCOVER-AQ mission. Atmospheric Environment, 92, 429-441. doi: 10.1016/j.atmosenv.2014.04.041

    Foley, K. M., Napelenok, S. L., Jang, C., Phillips, S., Hubbell, B. J., & Fulcher, C. M. (2014). Two reduced form air quality modeling techniques for rapidly calculating pollutant mitigation potential across many sources, locations and precursor emission types. Atmospheric Environment, 98, 283-289. doi: 10.1016/j.atmosenv.2014.08.046

    Fu, X., Wang, S. X., Cheng, Z., Xing, J., Zhao, B., Wang, J. D., & Hao, J. M. (2014). Source, transport and impacts of a heavy dust event in the Yangtze River Delta, China, in 2011. Atmospheric Chemistry and Physics, 14(3), 1239-1254. doi: 10.5194/acp-14-1239-2014

    Gabriel, M., Knightes, C., Dennis, R., & Cooter, E. (2014). Potential Impact of Clean Air Act Regulations on Nitrogen Fate and Transport in the Neuse River Basin: a Modeling Investigation Using CMAQ and SWAT. Environmental Modeling & Assessment, 19(6), 451-465. doi: 10.1007/s10666-014-9410-x

    Gadzhev, G., Ganev, K., Miloshev, N., Syrakov, D., & Prodanova, M. (2014). Analysis of the Processes Which Form the Air Pollution Pattern over Bulgaria. In I. Lirkov, S. Margenov & J. Wasniewski (Eds.), Large-Scale Scientific Computing, Lssc 2013 (Vol. 8353, pp. 390-396).

    Gadzhev, G., Ganev, K., Miloshev, N., Syrakov, D., & Prodanova, M. (2014). Some Basic Facts About the Atmospheric Composition in Bulgaria - Grid Computing Simulations. In I. Lirkov, S. Margenov & J. Wasniewski (Eds.), Large-Scale Scientific Computing, Lssc 2013 (Vol. 8353, pp. 484-490).

    Gadzhev, G., Ganev, K., Prodanova, M., Syrakov, D., Atanasov, E., & Miloshev, N. (2014). Multi-scale Atmospheric Composition Modelling for Bulgaria. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 381-385).

    Gao, L. N., Zhang, R. J., Han, Z. W., Fu, C. B., Yan, P., Wang, T. J., . . . Jiao, L. (2014). A Modeling Study of a Typical Winter PM2.5 Pollution Episode in a City in Eastern China. Aerosol and Air Quality Research, 14(1), 311-322. doi: 10.4209/aaqr.2013.02.0054

    Garcia, V., Porter, P. S., Gego, E., & Rao, S. T. (2014). Temporal Collinearity Amongst Modeled and Measured Pollutant Concentrations and Meteorology. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 53-57).

    Garcia-Menendez, F., Hu, Y. T., & Odman, M. T. (2014). Simulating smoke transport from wildland fires with a regional-scale air quality model: Sensitivity to spatiotemporal allocation of fire emissions. Science of the Total Environment, 493, 544-553. doi: 10.1016/j.scitotenv.2014.05.108

    Goldberg, D. L., Loughner, C. P., Tzortziou, M., Stehr, J. W., Pickering, K. E., Marufu, L. T., & Dickerson, R. R. (2014). Higher surface ozone concentrations over the Chesapeake Bay than over the adjacent land: Observations and models from the DISCOVER-AQ and CBODAQ campaigns. Atmospheric Environment, 84, 9-19. doi: 10.1016/j.atmosenv.2013.11.008

    Grant, S. L., Kim, M., Lin, P., Crist, K. C., Ghosh, S., & Kotamarthi, V. R. (2014). A simulation study of atmospheric mercury and its deposition in the Great Lakes. Atmospheric Environment, 94, 164-172. doi: 10.1016/j.atmosenv.2014.05.033

    Guevara, M., Pay, M. T., Martinez, F., Soret, A., van der Gon, H. D., & Baldasano, J. M. (2014). Inter-comparison between HERMESv2.0 and TNO-MACC-II emission data using the CALIOPE air quality system (Spain). Atmospheric Environment, 98, 134-145. doi: 10.1016/j.atmosenv.2014.08.067

    Guevara, M., Soret, A., Arevalo, G., Martinez, F., & Baldasano, J. M. (2014). Implementation of plume rise and its impacts on emissions and air quality modelling. Atmospheric Environment, 99, 618-629. doi: 10.1016/j.atmosenv.2014.10.029

    Haines, P. E., Esler, J. G., & Carver, G. D. (2014). Technical Note: Adjoint formulation of the TOMCAT atmospheric transport scheme in the Eulerian backtracking framework (RETRO-TOM). Atmospheric Chemistry and Physics, 14(11), 5477-5493. doi: 10.5194/acp-14-5477-2014

    Han, X., Zhang, M., Gao, J., Wang, S., & Chai, F. (2014). Modeling analysis of the seasonal characteristics of haze formation in Beijing. Atmospheric Chemistry and Physics, 14(18), 10231-10248. doi: 10.5194/acp-14-10231-2014

    He, H., Loughner, C. P., Stehr, J. W., Arkinson, H. L., Brent, L. C., Follette-Cook, M. B., . . . Dickerson, R. R. (2014). An elevated reservoir of air pollutants over the Mid-Atlantic States during the 2011 DISCOVER-AQ campaign: Airborne measurements and numerical simulations. Atmospheric Environment, 85, 18-30. doi: 10.1016/j.atmosenv.2013.11.039

    He, J., & Zhang, Y. (2014). Improvement and further development in CESM/CAM5: gas-phase chemistry and inorganic aerosol treatments. Atmospheric Chemistry and Physics, 14(17), 9171-9200. doi: 10.5194/acp-14-9171-2014

    Henderson, B. H., Akhtar, F., Pye, H. O. T., Napelenok, S. L., & Hutzell, W. T. (2014). A database and tool for boundary conditions for regional air quality modeling: description and evaluation. Geoscientific Model Development, 7(1), 339-360. doi: 10.5194/gmd-7-339-2014

    Herron-Thorpe, F. L., Mount, G. H., Emmons, L. K., Lamb, B. K., Jaffe, D. A., Wigder, N. L., . . . Vaughan, J. K. (2014). Air quality simulations of wildfires in the Pacific Northwest evaluated with surface and satellite observations during the summers of 2007 and 2008. Atmospheric Chemistry and Physics, 14(22), 12533-12551. doi: 10.5194/acp-14-12533-2014

    Hogrefe, C., Szykman, J., Gilliam, R., Godowitch, J., Roselle, S., Crawford, J., . . . Rao, S. T. (2014). A Comparison of Modeled Pollutant Profiles with MOZAIC Aircraft Measurements. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 577-580).

    Hristova, R., Ivanovska, S., & Durchova, M. (2014). Performance Analysis of the Regional Grid Resources for an Environmental Modeling Application. In I. Lirkov, S. Margenov & J. Wasniewski (Eds.), Large-Scale Scientific Computing, Lssc 2013 (Vol. 8353, pp. 507-514).

    Hu, X. M., Ma, Z. Q., Lin, W. L., Zhang, H. L., Hu, J. L., Wang, Y., . . . Xue, M. (2014). Impact of the Loess Plateau on the atmospheric boundary layer structure and air quality in the North China Plain: A case study. Science of the Total Environment, 499, 228-237. doi: 10.1016/j.scitotenv.2014.08.053

    Huang, K., Fu, J. S., Gao, Y., Dong, X. Y., Zhuang, G. S., & Lin, Y. F. (2014). Role of sectoral and multi-pollutant emission control strategies in improving atmospheric visibility in the Yangtze River Delta, China. Environmental Pollution, 184, 426-434. doi: 10.1016/j.envpol.2013.09.029

    Huang, Z. K., Peng, Z., Liu, H. N., Zhang, M. G., Ma, X. G., Yang, S. C., . . . Kim, S. Y. (2014). Development of CMAQ for East Asia CO2 data assimilation under an EnKF framework: a first result. Chinese Science Bulletin, 59(25), 3200-3208. doi: 10.1007/s11434-014-0348-9

    Im, U., Daskalakis, N., Markakis, K., Vrekoussis, M., Hjorth, J., Myriokefalitakis, S., . . . Kanakidou, M. (2014). Simulated air quality and pollutant budgets over Europe in 2008. Science of the Total Environment, 470, 270-281. doi: 10.1016/j.scitotenv.2013.09.090

    Im, U., Markakis, K., Unal, A., Kindap, T., Poupkou, A., Incecik, S., . . . Mihalopoulos, N. (2014). Higher Resolution Modeling of the PM10 Levels Over Istanbul for a Winter Episode. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 721-725).

    Isakov, V., Arunachalam, S., Batterman, S., Bereznicki, S., Burke, J., Dionisio, K., . . . Vette, A. (2014). Air Quality Modeling in Support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS). International Journal of Environmental Research and Public Health, 11(9), 8777-8793. doi: 10.3390/ijerph110908777

    Itahashi, S., Uno, I., Hayami, H., & Fujita, S. (2014). Modeling investigation of controlling factors in the increasing ratio of nitrate to non-seasalt sulfate in precipitation over Japan. Atmospheric Environment, 92, 171-177. doi: 10.1016/j.atmosenv.2014.04.022

    Jathar, S. H., Donahue, N. M., Adams, P. J., & Robinson, A. L. (2014). Testing secondary organic aerosol models using smog chamber data for complex precursor mixtures: influence of precursor volatility and molecular structure. Atmospheric Chemistry and Physics, 14(11), 5771-5780. doi: 10.5194/acp-14-5771-2014

    Jeon, W. B., Lee, S. H., Lee, H., Park, C., Kim, D. H., & Park, S. Y. (2014). A study on high ozone formation mechanism associated with change of NOx/VOCs ratio at a rural area in the Korean Peninsula. Atmospheric Environment, 89, 10-21. doi: 10.1016/j.atmosenv.2014.02.005

    Jericevic, A., Koracin, D., Jiang, J., Chow, J., Watson, J., Fujita, E., & Minoura, H. (2014). Air Quality Study of High Ozone Levels in South California. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 629-634).

    Jose, R. S., Perez, J. L., & Gonzalez, R. M. (2014). Operational short term health impact assessment of air pollution modelling system over Europe. International Journal of Environment and Pollution, 55(1-4), 174-182. doi: 10.1504/ijep.2014.065922

    Karamchandani, P., Johnson, J., Yarwood, G., & Knipping, E. (2014). Implementation and application of sub-grid-scale plume treatment in the latest version of EPA's third-generation air quality model, CMAQ 5.01. Journal of the Air & Waste Management Association, 64(4), 453-467. doi: 10.1080/10962247.2013.855152

    Kelly, J. T., Baker, K. R., Nowak, J. B., Murphy, J. G., Markovic, M. Z., VandenBoer, T. C., . . . Misenis, C. (2014). Fine-scale simulation of ammonium and nitrate over the South Coast Air Basin and San Joaquin Valley of California during CalNex-2010. Journal of Geophysical Research-Atmospheres, 119(6), 3600-3614. doi: 10.1002/2013jd021290

    Kheirbek, I., Haney, J., Douglas, S., Ito, K., Caputo, S., & Matte, T. (2014). The Public Health Benefits of Reducing Fine Particulate Matter through Conversion to Cleaner Heating Fuels in New York City. Environmental Science & Technology, 48(23), 13573-13582. doi: 10.1021/es503587p

    Kim, H. K., Woo, J. H., Park, R. S., Song, C. H., Kim, J. H., Ban, S. J., & Park, J. H. (2014). Impacts of different plant functional types on ambient ozone predictions in the Seoul Metropolitan Areas (SMAs), Korea. Atmospheric Chemistry and Physics, 14(14), 7461-7484. doi: 10.5194/acp-14-7461-2014

    Kim, Y. J., Spak, S. N., Carmichael, G. R., Riemer, N., & Stanier, C. O. (2014). Modeled aerosol nitrate formation pathways during wintertime in the Great Lakes region of North America. Journal of Geophysical Research-Atmospheres, 119(21), 12420-12445. doi: 10.1002/2014jd022320

    Koo, B., Knipping, E., & Yarwood, G. (2014). 1.5-Dimensional volatility basis set approach for modeling organic aerosol in CAMx and CMAQ. Atmospheric Environment, 95, 158-164. doi: 10.1016/j.atmosenv.2014.06.031

    Koo, Y. S., Choi, D. R., & Cho, J. S. (2014). Evaluations of WRF-CMAQ/CAMx Performance in East Asia Focusing on the Seoul Metropolitan Area. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 441-448).

    Koshak, W., Peterson, H., Biazar, A., Khan, M., & Wang, L. H. (2014). The NASA Lightning Nitrogen Oxides Model (LNOM): Application to air quality modeling. Atmospheric Research, 135, 363-369. doi: 10.1016/j.atmosres.2012.12.015

    Kota, S. H., Zhang, H. L., Chen, G., Schade, G. W., & Ying, Q. (2014). Evaluation of on-road vehicle CO and NOx National Emission Inventories using an urban-scale source-oriented air quality model. Atmospheric Environment, 85, 99-108. doi: 10.1016/j.atmosenv.2013.11.020

    Lee, K. Y., Kwak, K. H., Ryu, Y. H., Lee, S. H., & Baik, J. J. (2014). Impacts of biogenic isoprene emission on ozone air quality in the Seoul metropolitan area. Atmospheric Environment, 96, 209-219. doi: 10.1016/j.atmosenv.2014.07.036

    Lee, P., & Liu, Y. (2014). Preliminary Evaluation of a Regional Atmospheric Chemical Data Assimilation System for Environmental Surveillance. International Journal of Environmental Research and Public Health, 11(12), 12795-12816. doi: 10.3390/ijerph111212795

    Li, L., Huang, C., Huang, H. Y., Wang, Y. J., Yan, R. S., Zhang, G. F., . . . Fu, J. S. (2014). An integrated process rate analysis of a regional fine particulate matter episode over Yangtze River Delta in 2010. Atmospheric Environment, 91, 60-70. doi: 10.1016/j.atmosenv.2014.03.053

    Li, X. S., & Rappengluck, B. (2014). A WRF-CMAQ study on spring time vertical ozone structure in Southeast Texas. Atmospheric Environment, 97, 363-385. doi: 10.1016/j.atmosenv.2014.08.036

    Liao, K. J., Hou, X. T., & Baker, D. R. (2014). Impacts of interstate transport of pollutants on high ozone events over the Mid-Atlantic United States. Atmospheric Environment, 84, 100-112. doi: 10.1016/j.atmosenv.2013.10.062

    Liu, X. H., Zhu, Y. J., Zheng, M., Gao, H. W., & Yao, X. H. (2014). Production and growth of new particles during two cruise campaigns in the marginal seas of China. Atmospheric Chemistry and Physics, 14(15), 7941-7951. doi: 10.5194/acp-14-7941-2014

    Liu, Z., Bambha, R. P., Pinto, J. P., Zeng, T., Boylan, J., Huang, M. Y., . . . Michelsen, H. A. (2014). Toward verifying fossil fuel CO2 emissions with the CMAQ model: Motivation, model description and initial simulation. Journal of the Air & Waste Management Association, 64(4), 419-435. doi: 10.1080/10962247.2013.816642

    Lu, D. J., Cizdziel, J. V., Jiang, Y., White, L., & Reddy, R. S. (2014). Numerical simulation of atmospheric mercury in mid-south USA. Air Quality Atmosphere and Health, 7(4), 525-540. doi: 10.1007/s11869-014-0256-9

    Makar, P. A., Nissen, R., Teakles, A., Zhang, J., Zheng, Q., Moran, M. D., . . . diCenzo, C. (2014). Turbulent transport, emissions and the role of compensating errors in chemical transport models. Geoscientific Model Development, 7(3), 1001-1024. doi: 10.5194/gmd-7-1001-2014

    Markovic, M. Z., VandenBoer, T. C., Baker, K. R., Kelly, J. T., & Murphy, J. G. (2014). Measurements and modeling of the inorganic chemical composition of fine particulate matter and associated precursor gases in California's San Joaquin Valley during CalNex 2010. Journal of Geophysical Research-Atmospheres, 119(11), 6853-6866. doi: 10.1002/2013jd021408

    Marmo, B. P., Carlton, A. G., & Henderson, B. H. (2014). Partitioning of HNO3, H2O2 and SO2 to cloud ice: Simulations with CMAQ. Atmospheric Environment, 88, 239-246. doi: 10.1016/j.atmosenv.2013.12.041

    Mathur, R., Roselle, S., Young, J., & Kang, D. W. (2014). Representing the Effects of Long- Range Transport and Lateral Boundary Conditions in Regional Air Pollution Models. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 303-308).

    Mesbah, S. M., Hakami, A., & Schott, S. (2014). Targeted NOx Emissions Control for Improved Environmental Performance. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 35-40).

    Monforte, L., & Perez-Foguet, A. (2014). A multimesh adaptive scheme for air quality modeling with the finite element method. International Journal for Numerical Methods in Fluids, 74(6), 387-405. doi: 10.1002/fld.3855

    Napelenok, S. L., Bhave, P. V., Simon, H., Pouliot, G. A., Lewandowski, M., & Sheesley, R. (2014). Diagnostic Evaluation of Carbon Sources in CMAQ. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 463-467).

    Napelenok, S. L., Simon, H., Bhave, P. V., Pye, H. O. T., Pouliot, G. A., Sheesley, R. J., & Schauer, J. J. (2014). Diagnostic Air Quality Model Evaluation of Source-Specific Primary and Secondary Fine Particulate Carbon. Environmental Science & Technology, 48(1), 464-473. doi: 10.1021/es403304w

    Napelenok, S. L., Vedantham, R., Bhave, P. V., Pouliot, G. A., & Kwok, R. H. F. (2014). Source-receptor reconciliation of fine-particulate emissions from residential wood combustion in the southeastern United States. Atmospheric Environment, 98, 454-460. doi: 10.1016/j.atmosenv.2014.09.021

    Nolte, C., Otte, T., Pinder, R., Bowden, J., Herwehe, J., Faluvegi, G., & Shindell, D. (2014). Influences of Regional Climate Change on Air Quality Across the Continental US Projected from Downscaling IPCC AR5 Simulations. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 9-12).

    Ozkaynak, H., Isakov, V., Baxter, L., Graham, S. E., Sarnat, S. E., Sarnat, J. A., . . . Lunden, M. (2014). Evaluating Alternative Exposure Metrics Used for Multipollutant Air Quality and Human Health Studies. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 65-71).

    Pan, L., Tong, D., Lee, P., Kim, H. C., & Chai, T. F. (2014). Assessment of NOx and O-3 forecasting performances in the US National Air Quality Forecasting Capability before and after the 2012 major emissions updates. Atmospheric Environment, 95, 610-619. doi: 10.1016/j.atmosenv.2014.06.020

    Pappin, A., Hakami, A., Resler, J., Liczki, J., & Vlcek, O. (2014). Attribution of Ozone Pollution Control Benefits to Individual Sources. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 41-46).

    Park, M. E., Song, C. H., Park, R. S., Lee, J., Kim, J., Lee, S., . . . Hong, Y. D. (2014). New approach to monitor transboundary particulate pollution over Northeast Asia. Atmospheric Chemistry and Physics, 14(2), 659-674. doi: 10.5194/acp-14-659-2014

    Park, R. J., Hong, S. K., Kwon, H. A., Kim, S., Guenther, A., Woo, J. H., & Loughner, C. P. (2014). An evaluation of ozone dry deposition simulations in East Asia. Atmospheric Chemistry and Physics, 14(15), 7929-7940. doi: 10.5194/acp-14-7929-2014

    Park, S. Y., Lee, S. H., & Lee, H. W. (2014). Assimilation of wind profiler observations and its impact on three-dimensional transport of ozone over the Southeast Korean Peninsula. Atmospheric Environment, 99, 660-672. doi: 10.1016/j.atmosenv.2014.09.082

    Penrod, A., Zhang, Y., Wang, K., Wu, S. Y., & Leung, L. R. (2014). Impacts of future climate and emission changes on US air quality. Atmospheric Environment, 89, 533-547. doi: 10.1016/j.atmosenv.2014.01.001

    Plachinski, S. D., Holloway, T., Meier, P. J., Nemet, G. F., Rrushaj, A., Oberman, J. T., . . . Voigt, C. L. (2014). Quantifying the emissions and air quality co-benefits of lower-carbon electricity production. Atmospheric Environment, 94, 180-191. doi: 10.1016/j.atmosenv.2014.03.028

    Porter, P. S., Gego, E., Garcia, V., & Rao, S. T. (2014). Benefits of Using Enhanced Air Quality Information in Human Health Studies. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 73-78).

    Pournazeri, S., Tan, S., Schulte, N., Jing, Q. G., & Venkatram, A. (2014). A computationally efficient model for estimating background concentrations of NOx, NO2, and O-3. Environmental Modelling & Software, 52, 19-37. doi: 10.1016/j.envsoft.2013.10.013

    Reich, B. J., Chang, H. H., & Foley, K. M. (2014). A Spectral Method for Spatial Downscaling. Biometrics, 70(4), 932-942. doi: 10.1111/biom.12196

    Sacks, J. D., Rappold, A. G., Davis, J. A., Richardson, D. B., Waller, A. E., & Luben, T. J. (2014). Influence of Urbanicity and County Characteristics on the Association between Ozone and Asthma Emergency Department Visits in North Carolina. Environmental Health Perspectives, 122(5), 506-512. doi: 10.1289/ehp.1306940

    Sarwar, G., Chen, S., Henderson, B., Fahey, K., Gilliam, R., Pouliot, G., . . . Rappenglueck, B. (2014). Simulation of Atmospheric Oxidation Capacity in Houston, Texas. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 481-486).

    Sarwar, G., Simon, H., Fahey, K., Mathur, R., Goliff, W. S., & Stockwell, W. R. (2014). Impact of sulfur dioxide oxidation by Stabilized Criegee Intermediate on sulfate. Atmospheric Environment, 85, 204-214. doi: 10.1016/j.atmosenv.2013.12.013

    Sarwar, G., Simon, H., Xing, J., & Mathur, R. (2014). Importance of tropospheric ClNO2 chemistry across the Northern Hemisphere. Geophysical Research Letters, 41(11), 4050-4058. doi: 10.1002/2014gl059962

    Schwede, D. B., & Lear, G. G. (2014). A novel hybrid approach for estimating total deposition in the United States. Atmospheric Environment, 92, 207-220. doi: 10.1016/j.atmosenv.2014.04.008

    Shimadera, H., Hayami, H., Chatani, S., Morino, Y., Mori, Y., Morikawa, T., . . . Ohara, T. (2014). Sensitivity analyses of factors influencing CMAQ performance for fine particulate nitrate. Journal of the Air & Waste Management Association, 64(4), 374-387. doi: 10.1080/10962247.2013.778919

    Sonntag, D. B., Baldauf, R. W., Yanca, C. A., & Fulper, C. R. (2014). Particulate matter speciation profiles for light-duty gasoline vehicles in the United States. Journal of the Air & Waste Management Association, 64(5), 529-545. doi: 10.1080/10962247.2013.870096

    Soret, A., Guevara, M., & Baldasano, J. M. (2014). The potential impacts of electric vehicles on air quality in the urban areas of Barcelona and Madrid (Spain). Atmospheric Environment, 99, 51-63. doi: 10.1016/j.atmosenv.2014.09.048

    Steyn, D. G., Ainslie, B., Reuten, C., & Jackson, P. (2014). A Retrospective Analysis of Ozone Formation in the Lower Fraser Valley, Canada. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 285-289).

    Sutton, P., Chemel, C., Griffiths, S., & Sokhi, R. S. (2014). Investigation, Using CMAQ, of Sensitivity of Air Quality Modelling to Input Ammonia Emissions. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 571-575).

    Syrakov, D., Ganev, K., Prodanova, M., Miloshev, N., & Slavov, K. (2014). Fine Resolution Modeling of Climate Change Impact on Future Air Quality Over BULGARIA. In D. G. Steyn, P. J. H. Builtjes & R. M. A. Timmermans (Eds.), Air Pollution Modeling and Its Application Xxii (pp. 429-433).

    Syrakov, D., Prodanova, M., Etropolska, I., Slavov, K., Ganev, K., Miloshev, N., & Ljubenov, T. (2014). A Multy-Domain Operational Chemical Weather Forecast System. In I. Lirkov, S. Margenov & J. Wasniewski (Eds.), Large-Scale Scientific Computing, Lssc 2013 (Vol. 8353, pp. 413-420).

    Tagaris, E., Sotiropoulou, R. E. P., Gounaris, N., Andronopoulos, S., & Vlachogiannis, D. (2014). Impact of biogenic emissions on ozone and fine particles over Europe: Comparing effects of temperature increase and a potential anthropogenic NOx emissions abatement strategy. Atmospheric Environment, 98, 214-223. doi: 10.1016/j.atmosenv.2014.08.056

    Talbott, E. O., Rager, J. R., Benson, S., Brink, L. A., Bilonick, R. A., & Wu, C. (2014). A case-crossover analysis of the impact of PM2.5 on cardiovascular disease hospitalizations for selected CDC tracking states. Environmental Research, 134, 455-465. doi: 10.1016/j.envres.2014.06.018

    Trail, M., Tsimpidi, A. P., Liu, P., Tsigaridis, K., Rudokas, J., Miller, P., . . . Russell, A. G. (2014). Sensitivity of air quality to potential future climate change and emissions in the United States and major cities. Atmospheric Environment, 94, 552-563. doi: 10.1016/j.atmosenv.2014.05.079

    Vedrenne, M., Borge, R., Lumbreras, J., & Rodriguez, M. E. (2014). Advancements in the design and validation of an air pollution integrated assessment model for Spain. Environmental Modelling & Software, 57, 177-191. doi: 10.1016/j.envsoft.2014.03.002

    Vinikoor-Imler, L. C., Davis, J. A., Meyer, R. E., Messer, L. C., & Luben, T. J. (2014). Associations between prenatal exposure to air pollution, small for gestational age, and term low birthweight in a state-wide birth cohort. Environmental Research, 132, 132-139. doi: 10.1016/j.envres.2014.03.040

    Wai, K. M., & Tanner, P. A. (2014). Recent Springtime Regional CO Variability in Southern China and the Adjacent Ocean: Anthropogenic and Biomass Burning Contribution. Aerosol and Air Quality Research, 14(1), 21-32. doi: 10.4209/aaqr.2013.05.0159

    Wang, D. X., Hu, J. L., Xu, Y., Lv, D., Xie, X. Y., Kleeman, M., . . . Ying, Q. (2014). Source contributions to primary and secondary inorganic particulate matter during a severe wintertime PM2.5 pollution episode in Xi'an, China. Atmospheric Environment, 97, 182-194. doi: 10.1016/j.atmosenv.2014.08.020

    Wang, H., Tan, S. C., Wang, Y., Jiang, C., Shi, G. Y., Zhang, M. X., & Che, H. Z. (2014). A multisource observation study of the severe prolonged regional haze episode over eastern China in January 2013. Atmospheric Environment, 89, 807-815. doi: 10.1016/j.atmosenv.2014.03.004

    Wang, K., & Zhang, Y. (2014). 3-D agricultural air quality modeling: Impacts of NH3/H2S gas-phase reactions and bi-directional exchange of NH3. Atmospheric Environment, 98, 554-570. doi: 10.1016/j.atmosenv.2014.09.010

    Wang, L. T., Wei, Z., Yang, J., Zhang, Y., Zhang, F. F., Su, J., . . . Zhang, Q. (2014). The 2013 severe haze over southern Hebei, China: model evaluation, source apportionment, and policy implications. Atmospheric Chemistry and Physics, 14(6), 3151-3173. doi: 10.5194/acp-14-3151-2014

    Wang, Z. F., Chen, L. F., Tao, J. H., Liu, Y., Hu, X. F., & Tao, M. H. (2014). An empirical method of RH correction for satellite estimation of ground-level PM concentrations. Atmospheric Environment, 95, 71-81. doi: 10.1016/j.atmosenv.2014.05.030

    Wu, Q., Xu, W., Shi, A., Li, Y., Zhao, X., Wang, Z., . . . Wang, L. (2014). Air quality forecast of PM10 in Beijing with Community Multi-scale Air Quality Modeling (CMAQ) system: emission and improvement. Geoscientific Model Development, 7(5), 2243-2259. doi: 10.5194/gmd-7-2243-2014

    Yamaji, K., Ikeda, K., Irie, H., Kurokawa, J., & Ohara, T. (2014). Influence of model grid resolution on NO2 vertical column densities over East Asia. Journal of the Air & Waste Management Association, 64(4), 436-444. doi: 10.1080/10962247.2013.827603

    Ying, Q., Cureno, I. V., Chen, G., Ali, S., Zhang, H. L., Malloy, M., . . . Sosa, R. (2014). Impacts of Stabilized Criegee Intermediates, surface uptake processes and higher aromatic secondary organic aerosol yields on predicted PM2.5 concentrations in the Mexico City Metropolitan Zone. Atmospheric Environment, 94, 438-447. doi: 10.1016/j.atmosenv.2014.05.056

    Ying, Q., Wu, L., & Zhang, H. L. (2014). Local and inter-regional contributions to PM2.5 nitrate and sulfate in China. Atmospheric Environment, 94, 582-592. doi: 10.1016/j.atmosenv.2014.05.078

    Yu, S., Mathur, R., Pleim, J., Wong, D., Gilliam, R., Alapaty, K., . . . Liu, X. (2014). Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF-CMAQ: model description, development, evaluation and regional analysis. Atmospheric Chemistry and Physics, 14(20), 11247-11285. doi: 10.5194/acp-14-11247-2014

    Yu, X., Yuan, Z. B., Fung, J. C. H., Xue, J., Li, Y., Zheng, J. Y., & Lau, A. K. H. (2014). Ozone changes in response to the heavy-duty diesel truck control in the Pearl River Delta. Atmospheric Environment, 88, 269-274. doi: 10.1016/j.atmosenv.2013.11.022

    Zhang, H. L., Chen, G., Hu, J. L., Chen, S. H., Wiedinmyer, C., Kleeman, M., & Ying, Q. (2014). Evaluation of a seven-year air quality simulation using the Weather Research and Forecasting (WRF)/Community Multiscale Air Quality (CMAQ) models in the eastern United States. Science of the Total Environment, 473, 275-285. doi: 10.1016/j.scitotenv.2013.11.121

    Zhang, H. L., Hu, J. L., Kleeman, M., & Ying, Q. (2014). Source apportionment of sulfate and nitrate particulate matter in the Eastern United States and effectiveness of emission control programs. Science of the Total Environment, 490, 171-181. doi: 10.1016/j.scitotenv.2014.04.064

    Zhang, L., Jacob, D. J., Yue, X., Downey, N. V., Wood, D. A., & Blewitt, D. (2014). Sources contributing to background surface ozone in the US Intermountain West. Atmospheric Chemistry and Physics, 14(11), 5295-5309. doi: 10.5194/acp-14-5295-2014

    Zhang, R., Duhl, T., Salam, M. T., House, J. M., Flagan, R. C., Avol, E. L., . . . VanReken, T. M. (2014). Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease. Biogeosciences, 11(6), 1461-1478. doi: 10.5194/bg-11-1461-2014

    Zhang, Y., Wang, W., Wu, S. Y., Wang, K., Minoura, H., & Wang, Z. F. (2014). Impacts of updated emission inventories on source apportionment of fine particle and ozone over the southeastern US. Atmospheric Environment, 88, 133-154. doi: 10.1016/j.atmosenv.2014.01.035

    Zhou, Y., Hammitt, J., Fu, J. S., Gao, Y., Liu, Y., & Levy, J. I. (2014). Major Factors Influencing the Health Impacts from Controlling Air Pollutants with Nonlinear Chemistry: An Application to China. Risk Analysis, 34(4), 683-697. doi: 10.1111/risa.12106

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The number of publications using CMAQ has grown significantly since 2000. Below is a chart that tracks publications containing the phrase "Community Multiscale Air Quality" over time, based on Google Scholar search results.

Bar chart showing the number of CMAQ related publications on Google Scholar between 2000 - 2017

External Review of the CMAQ System

The Community Modeling and Analysis System (CMAS) CenterExit, in collaboration with EPA scientists, has organized periodic, three-day CMAQ review panel meetings. The review process usually starts by inviting a number of key scientists to participate in the process. The scientists are selected based on their expertise in accordance with the focus of the review session. After reviewing numerous reports and articles and completing their meeting in Research Triangle Park, N.C., the review panel prepares a comprehensive report on their findings and recommendations. EPA then responds to the comments of the reviewers. Final review reports are posted below.