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
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.
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
Murphy, B. N., Woody, M. C., Jimenez, J. L., Carlton, A. M. G., Hayes, P. L., Liu, S., Ng, N. L., Russell, L. M., Setyan, A., Xu, L., Young, J., Zaveri, R. A., Zhang, Q., and Pye, H. O. T. (2017). Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning, Atmos. Chem. Phys. , 17: 11107-11133. doi: 10.5194/acp-2017-11107-2017
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
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.
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
- 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
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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
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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
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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
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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
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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
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
Gan, C. M., Pleim, J., Mathur, R., Hogrefe, C., Long, C. N., Xing, J., . . . 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(21), 12193-12209. doi: 10.5194/acp-15-12193-2015
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
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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
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.
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.