Community Multiscale Air Quality Modeling System (CMAQ)

CMAQ Publications and Peer Review

Publications

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

Publications by CMAQ team members: Find references to the science in CMAQ
- 2020
- 2019
- 2018
- 2017
- 2016
- 2015
- 2014
The following links exit the site Exit

2020

Itahashi, S., Mathur, R., Hogrefe, C., Napelenok, S. L., & Zhang, Y. (2020). Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010-Part 2: Examination of emission impacts based on the higher-order decoupled direct method. Atmospheric Chemistry and Physics, 20(6), 3397-3413. http://dx.doi.org/10.5194/acp-20-3397-2020

Itahashi, S., Mathur, R., Hogrefe, C., & Zhang, Y. (2020). Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010-Part 1: Model evaluation and air mass characterization for stratosphere-troposphere transport. Atmospheric Chemistry and Physics, 20(6), 3373-3396. http://dx.doi.org/10.5194/acp-20-3373-2020

Kang, D. W., Mathur, R., Pouliot, G. A., Gilliam, R. C., & Wong, D. C. (2020). Significant ground-level ozone attributed to lightning-induced nitrogen oxides during summertime over the Mountain West States. Npj Climate and Atmospheric Science, 3(1). http://dx.doi.org/10.1038/s41612-020-0108-2

Lu, Q. Y., Murphy, B. N., Qin, M. M., Adams, P., Zhao, Y. L., Pye, H. O. T., . . . Robinson, A. L. (2020). Simulation of organic aerosol formation during the CalNex study: updated mobile emissions and secondary organic aerosol parameterization for intermediate-volatility organic compounds. Atmospheric Chemistry and Physics, 20(7), 4313-4332. http://dx.doi.org/10.5194/acp-20-4313-2020

Peterson, G. C. L., Hogrefe, C., Corrigan, A. E., Neas, L. M., Mathur, R., & Rappold, A. G. (2020). Impact of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter-Related Cardiovascular Mortality. Environmental Health Perspectives, 128(1). http://dx.doi.org/10.1289/ehp5692

Tao, H. R., Xing, J., Zhou, H. S., Pleim, J., Ran, L. M., Chang, X., . . . Li, J. H. (2020). Impacts of improved modeling resolution on the simulation of meteorology, air quality, and human exposure to PM2.5, O-3 in Beijing, China. Journal of Cleaner Production, 243. http://dx.doi.org/10.1016/j.jclepro.2019.118574

2019

Baker K., Koplitz S., Foley K., Avey L., Hawkins, A. (2019) Characterizing grassland fire activity in the Flint Hills region and air quality using satellite and routine surface monitor data. Science of the Total Environment, 659, 1555-1566. doi: https://doi.org/10.1016/j.scitotenv.2018.12.427

Campbell P., Bash J., Nolte C., Spero T., Cooter E., Hinson K., Linker L. (2019). Projections of atmospheric nitrogen deposition to the Chesapeake Bay Watershed. Journal of Geophysical Research: Biogeosciences. 124, 3307-3326. https://doi.org/10.1029/2019JG005203

Curci G., Alyuz U., Barò R., Bianconi R., Bieser J., Christensen JH., Colette A., Farrow A., Francis X., Jiménez-Guerrero P., Im U., Liu P., Manders A., Palacios-Peña L., Prank M., Pozzoli L., Sokhi R., Solazzo E., Tuccella P., Unal A., Vivanco M.G., Hogrefe C., Galmarini S. (2019) Modelling black carbon absorption of solar radiation: combining external and internal mixing assumptions. Atmospheric Chemistry and Physics, 19(1), 181-204. doi: https://doi.org/10.5194/acp-19-181-2019

Huiying L., Astitha M., Hogrefe C., Mathur R., Rao S.T. (2019) A new method for assessing the efficacy of emission control strategies. Atmospheric Environment, 199, 233-243. doi: https://doi.org/10.1016/j.atmosenv.2018.11.010

Kang, D., Pickering, K., Allen, D., Foley, K., Wong, D., Mathur, R., & Roselle, S. (2019). Simulating Lightning NOX Production in CMAQv5.2: Evolution of Scientific Updates. Geosci. Model Dev. Discuss., 2019, 1-23. doi: https://doi.org/10.5194/gmd-2019-33

Kelly J., Koplitz S., Baker K., Holder A., Pye H., Murphy B., Bash J., Henderson B., Possiel N., Simon H., Eyth A. Jang C., Phillips S., Timin B. (2019) Assessing PM2.5 model performance for the conterminous U.S. with comparison to model performance statistics from 2007-2015. Atmospheric Environment, 214:116872. doi:  https://doi.org/10.1016/j.atmosenv.2019.116872

Liu P., Hogrefe C., Im U., Christensen J.H., Bieser J., Nopmongcol U., Yarwood G., Mathur R., Roselle S., Spero T. (2018) Attributing differences in the fate of lateral boundary ozone in AQMEII3 models to physical process representations. Atmospheric Chemistry and Physics, 18(23): 17157. doi: https://doi.org/10.5194/acp-18-17157-2018

Luecken, D. J., Yarwood, G., & Hutzell, W. T. (2019). Multipollutant modeling of ozone, reactive nitrogen and HAPs across the continental US with CMAQ-CB6. Atmospheric Environment, 201, 62-72. doi: https://doi.org/10.1016/j.atmosenv.2018.11.060

Luo H., Astitha M., Hogrefe C., Mathur R., Rao, S.T. (2019) A new method for assessing the efficacy of emission control strategies. Atmospheric Environment, 199, 233-243 doi: https://doi.org/10.1016/j.atmosenv.2018.11.010

Pay M.T., Gangoiti G., Guevara M., Napelenok S., Querol X., Jorba O., Garcia-Pando C.P. (2019) Ozone source apportionment during peak summer events over southwestern Europe. Atmospheric Chemistry and Physics, 19 (8), 5467-5494. doi: https://doi.org/10.5194/acp-19-5467-2019

Pleim J., Ran L., Appel K.W., Shephard M., Cady-Pereira K. (2019) New bidirectional ammonia flux model in an air quality model coupled with an agricultural model. Journal of Advances in Modeling Earth Systems, 11(9), 2934-2957. doi: https://doi.org/10.1029/2019MS001728

Pye, H., D’Ambro, E. L., Lee, B. H., Schobesberger, S., Takeuchi, M., Zhao, Y., . . . Thornton, J. A. (2019). Anthropogenic enhancements to production of highly oxygenated molecules from autoxidation. Proceedings of the National Academy of Sciences, 116(14), 6641. doi: https://doi.org/10.1073/pnas.1810774116

Rasool, Q. Z., Bash, J. O., & Cohan, D. S. (2019). Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1. Geoscientific Model Development, 12(2), 849-878. doi: https://doi.org/10.5194/gmd-12-849-2019

Sarwar, G., Gantt, B., Foley, K., Fahey, K., Spero, T. L., Kang, D., . . . Saiz-Lopez, A. (2019). Influence of bromine and iodine chemistry on annual, seasonal, diurnal, and background ozone: CMAQ simulations over the Northern Hemisphere. Atmospheric Environment, 213, 395-404. doi: https://doi.org/10.1016/j.atmosenv.2019.06.020

Schmedding R., Ma M., Zhang Y., Farrell S., Pye H., Chen Y., Wang C., Rasool Q., Budisulistiorini S.H., Ault A., Surratt J., Vizuete W. (2019) α-pinene-derived organic coatings on acidic sulfate aerosol impacts secondary organic aerosol formation from isoprene in a box model. Atmospheric Environment, 213, 456-462. doi: https://doi.org/10.1016/j.atmosenv.2019.06.005

Schwede D., Cole A., Vet R., Lear G. (2019) Ongoing U.S.-Canada collaboration on nitrogen and sulfur deposition. EM: Air and Waste Management Association’s Magazine for Environmental Managers, June 2019, http://pubs.awma.org/flip/EM-June-2019/schwede.pdf

Walker J., Beachley G., Amos H., Baron J.S., Bash J., Baumgardner R., Bell M.D., Benedict K.B., Chen X., Clow D.W., Cole A., Coughlin J.G., Cruz K., Daly R.W., Decina S.M., Elliott E.M., Fenn M.E., Ganzeveld L., Gebhart K., Isil S.S., Kerschner B.M., Larson R.S., Lavery T., Lear G.G., Macy T., Mast M.A., Mishoe K., Morris K.H., Padgett P.E., Pouyat R.V., Puchalski M., Pye H., et al. (2019) Toward the improvement of total nitrogen deposition budgets in the United States. Science of the Total Environment, 691, 1328-1352. doi:  https://doi.org/10.1016/j.scitotenv.2019.07.058.

Wang, M. Y., Yim, S. H. L., Wong, D. C., & Ho, K. F. (2019). Source contributions of surface ozone in China using an adjoint sensitivity analysis. Science of the Total Environment, 662, 385-392. doi: https://doi.org/10.1016/j.scitotenv.2019.01.116

Zare A., Fahey K., Sarwar G., Cohen R., Pye H. (2019) Vapor-pressure pathways initiate but hydrolysis products dominate the aerosol estimated from organic nitrates. ACS Earth and Space Chemistry, 3(8), 1426-1437. doi: https://doi.org/10.1021/acsearthspacechem.9b00067

Zhang S., Xing J., Sarwar G., Ge Y., He H., Duan F., Zhao Y., He K., Zhu L., Chu B. (2019) Parameterization of heterogeneous reaction of SO2 to sulfate on dust with coexistence of NH3 and NO2 under different humidity conditions. Atmospheric Environment, 208, 133-140. doi: https://doi.org/10.1016/j.atmosenv.2019.04.004

Zhang, Y., Foley, K. M., Schwede, D. B., Bash, J. O., Pinto, J. P., & Dennis, R. L. (2019). A Measurement-Model Fusion Approach for Improved Wet Deposition Maps and Trends. Journal of Geophysical Research: Atmospheres, 124(7), 4237-4251. doi: https://doi.org/10.1029/2018JD029051

Zhou, L. X., Schwede, D. B., Appel, K. W., Mangiante, M. J., Wong, D. C., Napelenok, S. L., . . . Zhang, B. L. (2019). The impact of air pollutant deposition on solar energy system efficiency: An approach to estimate PV soiling effects with the Community Multiscale Air Quality (CMAQ) model. Science of the Total Environment, 651, 456-465. doi: https://doi.org/10.1016/j.scitotenv.2018.09.19

2018

Astitha M., Kioutskioukis I., Fisseha G., Bianconi R., Bieser J., Christensen J., Cooper O., Galmarini S., Hogrefe C., et al. (2018) Seasonal ozone vertical profiles over North America using the AQMEII3 group of air quality models: model inter-comparison and stratospheric intrusions. Atmospheric Chemistry and Physics, 18(19):13925-13945. doi: https://doi.org/10.5194/acp-18-13925-2018

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.

Campbell, P. C., Bash, J. O., & Spero, T. L. (2019). Updates to the Noah Land Surface Model in WRF-CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition. Journal of Advances in Modeling Earth Systems, 11(1), 231-256. doi: https://doi.org/10.1029/2018ms001422

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.

Liu P., Hogrefe C., Im U., Christensen JH., Bieser J., Nopmongcol U., Yarwood G., Mathur R, Roselle S., Spero T. (2018) Attributing differences in the fate of lateral boundary ozone in AQMEII3 models to physical process representations. Atmospheric Chemistry and Physics, doi: https://doi.org/10.5194/acp-18-17157-2018.

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

Schwede D., Simpson D., Tan J., Fu J., Dentener F., Du E., deVries W. (2018) Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale. Environmental Pollution, 243(2), 1287-1301. doi: https://doi.org/10.1016/j.envpol.2018.09.084

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

Wilkins J., Pouliot G, Foley K., Appel K.W., Pierce T. (2018) The impact of US wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008 to 2012. International Journal of Wildland Fire, 27(10), 684-698. doi: https://doi.org/10.1071/WF18053

Xu, L., Pye, H. O. T., He, J., Chen, Y. L., Murphy, B. N., Ng, N. L. (2018) Experimental and model estimates of the contributions from biogenic monoterpenes and sesquiterpenes to secondary organic aerosol in the southeastern United States.  Atmos. Chem. Phys., 18: 12613-12637. doi: 10.5194/acp-18-12613-2018

Yuan Y., Wang R., Cooter E., Ran L., Daggupati P., Yang D., Srinivasan R., Jalowska A. (2018) Integrating multimedia models to assess nitrogen losses from the Mississippi River basin to the Gulf of Mexico. Biogeosciences, 15(23), 7059-7076. doi: https://doi.org/10.5194/bg-15-7059-2018

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.

Zhao Y., Thornton J.A., Pye H. (2018) Quantitative constraints on autoxidation and dimer formation from direct probing of monoterpene-derived peroxy radical chemistry. Proceedings of the National Academy of Sciences, doi: https://doi.org/10.1073/pnas.1812147115

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 PM_2.5and 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 PM_2.5-related premature mortality during 1990-2010 across the Northern Hemisphere. Environmental Health Perspectives, 125(3), 400-408. doi: 10.1289/EHP298

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

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

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

2016

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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2015

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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2014

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Publications that use CMAQ: See how CMAQ is used by research groups worldwide
- 2020
- 2019
- 2018
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- 2016
- 2015
- 2014
The following links exit the site Exit

2020

Bae, C., Kim, B. U., Kim, H. C., Yoo, C., & Kim, S. (2020). Long-Range Transport Influence on Key Chemical Components of PM2.5 in the Seoul Metropolitan Area, South Korea, during the Years 2012-2016. Atmosphere, 11(1). http://dx.doi.org/10.3390/atmos11010048

Bae, M., Kim, B. U., Kim, H. C., & Kim, S. (2020). A Multiscale Tiered Approach to Quantify Contributions: A Case Study of PM2.5 in South Korea During 2010-2017. Atmosphere, 11(2). http://dx.doi.org/10.3390/atmos11020141

Braggio, J. T., Hall, E. S., Weber, S. A., & Huff, A. K. (2020). Contribution of Satellite-Derived Aerosol Optical Depth PM2.5 Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland. Atmosphere, 11(2). http://dx.doi.org/10.3390/atmos11020209

Chang, M., Cao, J. C., Ma, M. R., Liu, Y. M., Liu, Y. Q., Chen, W. H., . . . Wang, X. M. (2020). Dry deposition of reactive nitrogen to different ecosystems across eastern China: A comparison of three community models. Science of the Total Environment, 720. http://dx.doi.org/10.1016/j.scitotenv.2020.137548

Chatani, S., Yamaji, K., Itahashi, S., Saito, M., Takigawa, M., Morikawa, T., . . . Hayami, H. (2020). Identifying key factors influencing model performance on ground-level ozone over urban areas in Japan through model inter-comparisons. Atmospheric Environment, 223. http://dx.doi.org/10.1016/j.atmosenv.2019.117255

Chen, D. S., Fu, X. Y., Guo, X. R., Lang, J. L., Zhou, Y., Li, Y., . . . Wang, W. L. (2020). The impact of ship emissions on nitrogen and sulfur deposition in China. Science of the Total Environment, 708. http://dx.doi.org/10.1016/j.scitotenv.2019.134636

Farahani, V. J., & Arhami, M. (2020). Contribution of Iraqi and Syrian dust storms on particulate matter concentration during a dust storm episode in receptor cities: Case study of Tehran. Atmospheric Environment, 222. http://dx.doi.org/10.1016/j.atmosenv.2019.117163

Feng, S. Z., Jiang, F., Wu, Z., Wang, H. M., Ju, W. M., & Wang, H. K. (2020). CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017. Journal of Geophysical Research-Atmospheres, 125(7). http://dx.doi.org/10.1029/2019jd031808

Gao, S., Wang, Y. Q., Shan, M., Teng, Y., Hong, N. N., Sun, Y. L., . . . Zhang, H. (2020). Wind-tunnel and modelled PM10 emissions and dust concentrations from agriculture soils in Tianjin, northern China. Aeolian Research, 42. http://dx.doi.org/10.1016/j.aeolia.2019.100562

Gao, Y., Shan, H. Y., Zhang, S. Q., Sheng, L. F., Li, J. P., Zhang, J. X., . . . Yao, X. H. (2020). Characteristics and sources of PM2.5 with focus on two severe pollution events in a coastal city of Qingdao, China. Chemosphere, 247. http://dx.doi.org/10.1016/j.chemosphere.2020.125861

Ghazvini, M. V., Ashrafi, K., Motlagh, M. S., Pardakhti, A., Ghader, S., & Holsen, T. M. (2020). Simulation of atmospheric mercury dispersion and deposition in Tehran city. Air Quality Atmosphere and Health. http://dx.doi.org/10.1007/s11869-020-00813-x

Goto, D., Morino, Y., Ohara, T., Sekiyama, T. T., Uchida, J., & Nakajima, T. (2020). Application of linear minimum variance estimation to the multi-model ensemble of atmospheric radioactive Cs-137 with observations. Atmospheric Chemistry and Physics, 20(6), 3589-3607. http://dx.doi.org/10.5194/acp-20-3589-2020

Guevara, M., Tena, C., Porquet, M., Jorba, O., & Garcia-Pando, C. P. (2020). HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework - Part 2: The bottom-up module. Geoscientific Model Development, 13(3), 873-903. http://dx.doi.org/10.5194/gmd-13-873-2020

Han, F. L., Guo, H., Hu, J. L., Zhang, J., Ying, Q., & Zhang, H. L. (2020). Sources and health risks of ambient polycyclic aromatic hydrocarbons in China. Science of the Total Environment, 698. http://dx.doi.org/10.1016/j.scitotenv.2019.134229

He, H., Liang, X. Z., Sun, C., Tao, Z. N., & Tong, D. Q. (2020). The long-term trend and production sensitivity change in the US ozone pollution from observations and model simulations. Atmospheric Chemistry and Physics, 20(5), 3191-3208. http://dx.doi.org/10.5194/acp-20-3191-2020

Huang, R., Qin, M. M., Hu, Y. T., Russell, A. G., & Odman, M. T. (2020). Apportioning prescribed fire impacts on PM2.5 among individual fires through dispersion modeling. Atmospheric Environment, 223. http://dx.doi.org/10.1016/j.atmosenv.2020.117260

Itahashi, S., Mathur, R., Hogrefe, C., Napelenok, S. L., & Zhang, Y. (2020). Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010-Part 2: Examination of emission impacts based on the higher-order decoupled direct method. Atmospheric Chemistry and Physics, 20(6), 3397-3413. http://dx.doi.org/10.5194/acp-20-3397-2020

Itahashi, S., Mathur, R., Hogrefe, C., & Zhang, Y. (2020). Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010-Part 1: Model evaluation and air mass characterization for stratosphere-troposphere transport. Atmospheric Chemistry and Physics, 20(6), 3373-3396. http://dx.doi.org/10.5194/acp-20-3373-2020

Kang, D. W., Mathur, R., Pouliot, G. A., Gilliam, R. C., & Wong, D. C. (2020). Significant ground-level ozone attributed to lightning-induced nitrogen oxides during summertime over the Mountain West States. Npj Climate and Atmospheric Science, 3(1). http://dx.doi.org/10.1038/s41612-020-0108-2

Kim, H. C., Kim, S., Lee, S. H., Kim, B. U., & Lee, P. (2020). Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory. Atmosphere, 11(1). http://dx.doi.org/10.3390/atmos11010101

Lee, K., Yu, J., Lee, S., Park, M., Hong, H., Park, S. Y., . . . Song, C. H. (2020). Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues. Geoscientific Model Development, 13(3), 1055-1073. http://dx.doi.org/10.5194/gmd-13-1055-2020

Li, X. K., Seth, A., Zhang, C. R., Feng, R., Long, X., Li, W. D., & Liu, K. (2020). Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes. Atmospheric Environment, 222. http://dx.doi.org/10.1016/j.atmosenv.2019.117181

Lin, W. Y., Hsiao, M. C., Wu, P. C., Fu, J. S., Lai, L. W., & Lai, H. C. (2020). Analysis of air quality and health co-benefits regarding electric vehicle promotion coupled with power plant emissions. Journal of Cleaner Production, 247. http://dx.doi.org/10.1016/j.jclepro.2019.119152

Liu, J., Shen, J. Y., Cheng, Z., Wang, P., Ying, Q., Zhao, Q. B., . . . Fu, Q. Y. (2020). Source apportionment and regional transport of anthropogenic secondary organic aerosol during winter pollution periods in the Yangtze River Delta, China. Science of the Total Environment, 710. http://dx.doi.org/10.1016/j.scitotenv.2019.135620

Liu, S. C., Xing, J., Wang, S. X., Ding, D. A., Chen, L., & Hao, J. M. (2020). Revealing the impacts of transboundary pollution on PM2.5-related deaths in China. Environment International, 134. http://dx.doi.org/10.1016/j.envint.2019.105323

Liu, T., Wang, C. L., Wang, Y. Y., Huang, L., Li, J. Y., Xie, F. J., . . . Hu, J. L. (2020). Impacts of model resolution on predictions of air quality and associated health exposure in Nanjing, China. Chemosphere, 249. http://dx.doi.org/10.1016/j.chemosphere.2020.126515

Loughner, C. P., Follette-Cook, M. B., Duncan, B. N., Hains, J., Pickering, K. E., Moy, J., & Tzortziou, M. (2020). The benefits of lower ozone due to air pollution emission reductions (2002-2011) in the Eastern US during extreme heat. Journal of the Air & Waste Management Association, 70(2), 193-205. http://dx.doi.org/10.1080/10962247.2019.1694089

Lu, Q. Y., Murphy, B. N., Qin, M. M., Adams, P., Zhao, Y. L., Pye, H. O. T., . . . Robinson, A. L. (2020). Simulation of organic aerosol formation during the CalNex study: updated mobile emissions and secondary organic aerosol parameterization for intermediate-volatility organic compounds. Atmospheric Chemistry and Physics, 20(7), 4313-4332. http://dx.doi.org/10.5194/acp-20-4313-2020

Mehmood, K., Wu, Y. J., Wang, L. Q., Yu, S. C., Li, P. F., Chen, X., . . . Seinfeld, J. H. (2020). Relative effects of open biomass burning and open crop straw burning on haze formation over central and eastern China: modeling study driven by constrained emissions. Atmospheric Chemistry and Physics, 20(4), 2419-2443. http://dx.doi.org/10.5194/acp-20-2419-2020

Nguyen, G. T. H., Shimadera, H., Uranishi, K., Matsuo, T., & Kondo, A. (2020). Numerical assessment of PM2.5 and O-3 air quality in Continental Southeast Asia: Impacts of future projected anthropogenic emission change and its impacts in combination with potential future climate change impacts. Atmospheric Environment, 226. http://dx.doi.org/10.1016/j.atmosenv.2020.117398

Peterson, G. C. L., Hogrefe, C., Corrigan, A. E., Neas, L. M., Mathur, R., & Rappold, A. G. (2020). Impact of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter-Related Cardiovascular Mortality. Environmental Health Perspectives, 128(1). http://dx.doi.org/10.1289/ehp5692

Takami, K., Shimadera, H., Uranishi, K., & Kondo, A. (2020). Impacts of Biomass Burning Emission Inventories and Atmospheric Reanalyses on Simulated PM10 over Indochina. Atmosphere, 11(2). http://dx.doi.org/10.3390/atmos11020160

Tao, H. R., Xing, J., Zhou, H. S., Pleim, J., Ran, L. M., Chang, X., . . . Li, J. H. (2020). Impacts of improved modeling resolution on the simulation of meteorology, air quality, and human exposure to PM2.5, O-3 in Beijing, China. Journal of Cleaner Production, 243. http://dx.doi.org/10.1016/j.jclepro.2019.118574

Tao, Z. N., He, H., Sun, C., Tong, D., & Liang, X. Z. (2020). Impact of Fire Emissions on US Air Quality from 1997 to 2016-A Modeling Study in the Satellite Era. Remote Sensing, 12(6). http://dx.doi.org/10.3390/rs12060913

Wang, P., Wang, T., & Ying, Q. (2020). Regional source apportionment of summertime ozone and its precursors in the megacities of Beijing and Shanghai using a source-oriented chemical transport model. Atmospheric Environment, 224. http://dx.doi.org/10.1016/j.atmosenv.2020.117337

Wu, K., Yang, X. Y., Chen, D., Gu, S., Lu, Y. Q., Jiang, Q., . . . Lu, S. H. (2020). Estimation of biogenic VOC emissions and their corresponding impact on ozone and secondary organic aerosol formation in China. Atmospheric Research, 231. http://dx.doi.org/10.1016/j.atmosres.2019.104656

Xie, D. N., Zhao, B., Wang, S. X., & Duan, L. (2020). Benefit of China's reduction in nitrogen oxides emission to natural ecosystems in East Asia with respect to critical load exceedance. Environment International, 136. http://dx.doi.org/10.1016/j.envint.2020.105468

Xu, Y. L., Xue, W. B., Lei, Y., Huang, Q., Zhao, Y., Cheng, S. Y., . . . Wang, J. N. (2020). Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017. Atmospheric Environment, 223. http://dx.doi.org/10.1016/j.atmosenv.2019.117215

Yang, G. Y., Zhao, H. M., Tong, D. Q., Xiu, A. J., Zhang, X. L., & Gao, C. (2020). Impacts of post-harvest open biomass burning and burning ban policy on severe haze in the Northeastern China. Science of the Total Environment, 716. http://dx.doi.org/10.1016/j.scitotenv.2020.136517

Yang, X. Y., Wu, K., Wang, H. L., Liu, Y. M., Gu, S., Lu, Y. Q., . . . Wang, Z. S. (2020). Summertime ozone pollution in Sichuan Basin, China: Meteorological conditions, sources and process analysis. Atmospheric Environment, 226. http://dx.doi.org/10.1016/j.atmosenv.2020.117392Yu, C., Wang, Z., Xia, M., Fu, X., Wang, W. H., Tham, Y. J., . . . Wang, T. (2020). Heterogeneous N2O5 reactions on atmospheric aerosols at four Chinese sites: improving model representation of uptake parameters. Atmospheric Chemistry and Physics, 20(7), 4367-4378. http://dx.doi.org/10.5194/acp-20-4367-2020

Zhang, Y. Y., Cao, Y. F., Tang, Y., Ying, Q., Hopke, P. K., Zeng, Y. Y., . . . Qiao, X. (2020). Wet deposition of sulfur and nitrogen at Mt. Emei in the West China Rain Zone, southwestern China: Status, inter-annual changes, and sources. Science of the Total Environment, 713. http://dx.doi.org/10.1016/j.scitotenv.2020.136676

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Akimoto, H., Nagashima, T., Li, J., Fu, J. S., Ji, D. S., Tan, J. N., & Wang, Z. F. (2019). Comparison of surface ozone simulation among selected regional models in MICS-Asia III - effects of chemistry and vertical transport for the causes of difference. Atmospheric Chemistry and Physics, 19(1), 603-615. http://dx.doi.org/10.5194/acp-19-603-2019

Albuquerque, T. T. D., West, J., Andrade, M. D., Ynoue, R. Y., Andreao, W. L., dos Santos, F. S., . . . Moreira, D. M. (2019). Analysis of PM2.5 concentrations under pollutant emission control strategies in the metropolitan area of Sao Paulo, Brazil. Environmental Science and Pollution Research, 26(32), 33216-33227. http://dx.doi.org/10.1007/s11356-019-06447-6

Arndt, J. A., Aulinger, A., & Matthias, V. (2019). Quantification of lightning-induced nitrogen oxide emissions over Europe. Atmospheric Environment, 202, 128-141. http://dx.doi.org/10.1016/j.atmosenv.2018.12.059

Battye, W. H., Bray, C. D., Aneja, V. P., Tong, D., Lee, P., & Tang, Y. H. (2019). Evaluating Ammonia (NH3) Predictions in the NOAA NAQFC for Eastern North Carolina Using Ground Level and Satellite Measurements. Journal of Geophysical Research-Atmospheres, 124(14), 8242-8259. http://dx.doi.org/10.1029/2018jd029990

Baker K., Koplitz S., Foley K., Avey L., Hawkins, A. (2019) Characterizing grassland fire activity in the Flint Hills region and air quality using satellite and routine surface monitor data. Science of the Total Environment, 659, 1555-1566. doi: https://doi.org/10.1016/j.scitotenv.2018.12.427

Baykara, M., Im, U., & Unal, A. (2019). Evaluation of impact of residential heating on air quality of megacity Istanbul by CMAQ. Science of the Total Environment, 651, 1688-1697. http://dx.doi.org/10.1016/j.scitotenv.2018.10.091

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Campbell, P. C., Bash, J. O., Nolte, C. G., Spero, T. L., Cooter, E. J., Hinson, K., & Linker, L. C. Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed. Journal of Geophysical Research-Biogeosciences. http://dx.doi.org/10.1029/2019jg005203\

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Chen, D. S., Tian, X. L., Lang, J. L., Zhou, Y., Li, Y., Guo, X. R., . . . Liu, B. (2019). The impact of ship emissions on PM2.5 and the deposition of nitrogen and sulfur in Yangtze River Delta, China. Science of the Total Environment, 649, 1609-1619. http://dx.doi.org/10.1016/j.scitotenv.2018.08.313

Chen, K. Y., Guo, H., Hu, J. L., Kota, S., Deng, W. Y., Ying, Q., . . . Zhang, H. L. (2019). Projected air quality and health benefits from future policy interventions in, India. Resources Conservation and Recycling, 142, 232-244. http://dx.doi.org/10.1016/j.resconrec.2018.12.008

Chen, L., Gao, Y., Zhang, M. G., Fu, J. S., Zhu, J., Liao, H., . . . Kurokawa, J. (2019). MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia. Atmospheric Chemistry and Physics, 19(18), 11911-11937. http://dx.doi.org/10.5194/acp-19-11911-2019

Chen, T. F., Chang, K. H., & Lee, C. H. (2019). Simulation and analysis of causes of a haze episode by combining CMAQ-IPR and brute force source sensitivity method. Atmospheric Environment, 218. http://dx.doi.org/10.1016/j.atmosenv.2019.117006

Chen, Y. L., Shen, H. Z., & Russell, A. G. (2019). Current and Future Responses of Aerosol pH and Composition in the US to Declining SO2 Emissions and Increasing NH3 Emissions. Environmental Science & Technology, 53(16), 9646-9655. http://dx.doi.org/10.1021/acs.est.9b02005

Chen, Z. Y., Chen, D. L., Kwan, M. P., Chen, B., Gao, B. B., Zhuang, Y., . . . Xu, B. (2019). The control of anthropogenic emissions contributed to 80% of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017. Atmospheric Chemistry and Physics, 19(21), 13519-13533. http://dx.doi.org/10.5194/acp-19-13519-2019

Cheng, J., Su, J. P., Cui, T., Li, X., Dong, X., Sun, F., . . . He, K. B. (2019). Dominant role of emission reduction in PM2.5 air quality improvement in Beijing during 2013-2017: a model-based decomposition analysis. Atmospheric Chemistry and Physics, 19(9), 6125-6146. http://dx.doi.org/10.5194/acp-19-6125-2019

Curci G., Alyuz U., Barò R., Bianconi R., Bieser J., Christensen JH., Colette A., Farrow A., Francis X., Jiménez-Guerrero P., Im U., Liu P., Manders A., Palacios-Peña L., Prank M., Pozzoli L., Sokhi R., Solazzo E., Tuccella P., Unal A., Vivanco M.G., Hogrefe C., Galmarini S. (2019) Modelling black carbon absorption of solar radiation: combining external and internal mixing assumptions. Atmospheric Chemistry and Physics, 19(1), 181-204. doi: https://doi.org/10.5194/acp-19-181-2019

Ding, D., Xing, J., Wang, S. X., Liu, K. Y., & Hao, J. M. (2019). Estimated Contributions of Emissions Controls, Meteorological Factors, Population Growth, and Changes in Baseline Mortality to Reductions in Ambient PM2.5 and PM2.5-Related Mortality in China, 2013-2017. Environmental Health Perspectives, 127(6). http://dx.doi.org/10.1289/ehp4157

Dong, X. Y., Fu, J. S., Huang, K., Zhu, Q. Z., & Tipton, M. Regional Climate Effects of Biomass Burning and Dust in East Asia: Evidence From Modeling and Observation. Geophysical Research Letters. http://dx.doi.org/10.1029/2019gl083894

Dreessen, J., Orozco, D., Boyle, J., Szymborski, J., Lee, P., Flores, A., & Sakai, R. K. (2019). Observed ozone over the Chesapeake Bay land-water interface: The Hart-Miller Island pilot project. Journal of the Air & Waste Management Association, 69(11), 1312-1330. http://dx.doi.org/10.1080/10962247.2019.1668497

Eliseev, A. V., Zhang, M., Gizatullin, R. D., Altukhova, A. V., Perevedentsev, Y. P., & Skorokhod, A. I. (2019). Impact of Sulfur Dioxide on the Terrestrial Carbon Cycle. Izvestiya Atmospheric and Oceanic Physics, 55(1), 38-49. http://dx.doi.org/10.1134/s0001433819010031

Feng, J. L., Zhang, Y., Li, S. S., Mao, J. B., Patton, A. P., Zhou, Y. Y., . . . Walker, K. (2019). The influence of spatiality on shipping emissions, air quality and potential human exposure in the Yangtze River Delta/Shanghai, China. Atmospheric Chemistry and Physics, 19(9), 6167-6183. http://dx.doi.org/10.5194/acp-19-6167-2019

Feng, R., Wang, Q., Huang, C. C., Liang, J., Luo, K., Fan, J. R., & Cen, K. F. (2019). Investigation on air pollution control strategy in Hangzhou for post-G20/pre-Asian-games period (2018-2020). Atmospheric Pollution Research, 10(1), 197-208. http://dx.doi.org/10.1016/j.apr.2018.07.006

Feng, R., Zheng, H. J., Gao, H., Zhang, A. R., Huang, C., Zhang, J. X., . . . Fan, J. R. (2019). Recurrent Neural Network and random forest for analysis and accurate forecast of atmospheric pollutants: A case study in Hangzhou, China. Journal of Cleaner Production, 231, 1005-1015. http://dx.doi.org/10.1016/j.jclepro.2019.05.319

Feng, R., Zheng, H. J., Zhang, A. R., Huang, C., Gao, H., & Ma, Y. C. (2019). Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China. Environmental Pollution, 252, 366-378. http://dx.doi.org/10.1016/j.envpol.2019.05.101

Fu, X., Wang, T., Zhang, L., Li, Q. Y., Wang, Z., Xia, M., . . . Han, R. (2019). The significant contribution of HONO to secondary pollutants during a severe winter pollution event in southern China. Atmospheric Chemistry and Physics, 19(1), 1-14. http://dx.doi.org/10.5194/acp-19-1-2019

Gao, S., Cong, Z. Y., Yu, H., Sun, Y. L., Mao, J., Zhan, H., . . . Bai, Z. P. (2019). Estimation of background concentration of PM in Beijing using a statistical integrated approach. Atmospheric Pollution Research, 10(3), 858-867. http://dx.doi.org/10.1016/j.apr.2018.12.014

Geng, G. N., Xiao, Q. Y., Zheng, Y. X., Tong, D., Zhang, Y. X., Zhang, X. Y., . . . Liu, Y. (2019). Impact of China's Air Pollution Prevention and Control Action Plan on PM2.5 chemical composition over eastern China. Science China-Earth Sciences, 62(12), 1872-1884. http://dx.doi.org/10.1007/s11430-018-9353-x

Gilani, O., McKay, L. A., Gregoire, T. G., Guan, Y. T., Leaderer, B. P., & Holford, T. R. Spatiotemporal calibration of atmospheric nitrogen dioxide concentration estimates from an air quality model for Connecticut. Environmental and Ecological Statistics. http://dx.doi.org/10.1007/s10651-019-00430-7

Gonzalez, M. A., Arasa, R., Gamez, P., Picanyol, M., & Campra, P. (2019). Effects of increasing the surface reflectance over air quality levels using WRF-BEM/AEMM/CMAQ: application over the city of Madrid. International Journal of Environment and Pollution, 65(1-3), 195-210. http://dx.doi.org/10.1504/ijep.2019.101841

Guevara, M., Tena, C., Porquet, M., Jorba, O., & Garcia-Pando, C. P. (2019). HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework - Part 1: global and regional module. Geoscientific Model Development, 12(5), 1885-1907. http://dx.doi.org/10.5194/gmd-12-1885-2019

Guo, H., Chen, K. Y., Wang, P. F., Hu, J. L., Ying, Q., Gao, A. F., & Zhang, H. L. (2019). Simulation of summer ozone and its sensitivity to emission changes in China. Atmospheric Pollution Research, 10(5), 1543-1552. http://dx.doi.org/10.1016/j.apr.2019.05.003

Guo, H., Kota, H., Sahu, S. K., & Zhang, H. L. (2019). Contributions of local and regional sources to PM2.5 and its health effects in north India. Atmospheric Environment, 214. http://dx.doi.org/10.1016/j.atmosenv.2019.116867

Han, B. S., Baik, J. J., & Kwak, K. H. (2019). A preliminary study of turbulent coherent structures and ozone air quality in Seoul using the WRF-CMAQ model at a 50 m grid spacing. Atmospheric Environment, 218. http://dx.doi.org/10.1016/j.atmosenv.2019.117012

Han, K. M., Lee, S., Yoon, Y. J., Lee, B. Y., & Song, C. H. (2019). A model investigation into the atmospheric NOy chemistry in remote continental Asia. Atmospheric Environment, 214. http://dx.doi.org/10.1016/j.atmosenv.2019.116817

Hou, X., Chan, C. K., Dong, G. H., & Yim, S. H. L. (2019). Impacts of transboundary air pollution and local emissions on PM2.5 pollution in the Pearl River Delta region of China and the public health, and the policy implications. Environmental Research Letters, 14(3). http://dx.doi.org/10.1088/1748-9326/aaf493

Hsu, C. H., Cheng, F. Y., Chang, H. Y., & Lin, N. H. (2019). Implementation of a dynamical NH3 emissions parameterization in CMAQ for improving PM2.5 simulation in Taiwan. Atmospheric Environment, 218. http://dx.doi.org/10.1016/j.atmosenv.2019.116923

Huang, R., Hu, Y. T., Russell, A. G., Mulholland, J. A., & Odman, M. T. (2019). The Impacts of Prescribed Fire on PM2.5 Air Quality and Human Health: Application to Asthma-Related Emergency Room Visits in Georgia, USA. International Journal of Environmental Research and Public Health, 16(13). http://dx.doi.org/10.3390/ijerph16132312

Huiying L., Astitha M., Hogrefe C., Mathur R., Rao S.T. (2019) A new method for assessing the efficacy of emission control strategies. Atmospheric Environment, 199, 233-243. doi: https://doi.org/10.1016/j.atmosenv.2018.11.010

Itahashi, S., Yumimoto, K., Kurokawa, J. I., Morino, Y., Nagashima, T., Miyazaki, K., . . . Ohara, T. (2019). Inverse estimation of NOx emissions over China and India 2005?2016: contrasting recent trends and future perspectives. Environmental Research Letters, 14(12). http://dx.doi.org/10.1088/1748-9326/ab4d7f

Jeon, W., Lee, H. W., Lee, T. J., Yoo, J. W., Mun, J., Lee, S. H., & Choi, Y. (2019). Impact of Varying Wind Patterns on PM10 Concentrations in the Seoul Metropolitan Area in South Korea from 2012 to 2016. Journal of Applied Meteorology and Climatology, 58(12), 2743-2754. http://dx.doi.org/10.1175/jamc-d-19-0102.1

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Walker J., Beachley G., Amos H., Baron J.S., Bash J., Baumgardner R., Bell M.D., Benedict K.B., Chen X., Clow D.W., Cole A., Coughlin J.G., Cruz K., Daly R.W., Decina S.M., Elliott E.M., Fenn M.E., Ganzeveld L., Gebhart K., Isil S.S., Kerschner B.M., Larson R.S., Lavery T., Lear G.G., Macy T., Mast M.A., Mishoe K., Morris K.H., Padgett P.E., Pouyat R.V., Puchalski M., Pye H., et al. (2019) Toward the improvement of total nitrogen deposition budgets in the United States. Science of the Total Environment, 691, 1328-1352. doi:  https://doi.org/10.1016/j.scitotenv.2019.07.058.

Wang, J., Mao, J. B., Zhang, Y., Cheng, T. T., Yu, Q., Tan, J. N., & Ma, W. C. (2019). Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai. Atmosphere, 10(2). http://dx.doi.org/10.3390/atmos10020079

Wang, M. Y., Yim, S. H. L., Wong, D. C., & Ho, K. F. (2019). Source contributions of surface ozone in China using an adjoint sensitivity analysis. Science of the Total Environment, 662, 385-392. doi: https://doi.org/10.1016/j.scitotenv.2019.01.116

Wang, N., Lyu, X. P., Deng, X. J., Huang, X., Jiang, F., & Ding, A. J. (2019). Aggravating O-3 pollution due to NOx emission control in eastern China. Science of the Total Environment, 677, 732-744. http://dx.doi.org/10.1016/j.scitotenv.2019.04.388

Wang, P., Chen, Y., Hu, J. L., Zhang, H. L., & Ying, Q. (2019). Attribution of Tropospheric Ozone to NOx and VOC Emissions: Considering Ozone Formation in the Transition Regime. Environmental Science & Technology, 53(3), 1404-1412. http://dx.doi.org/10.1021/acs.est.8b05981

Wang, P., Chen, Y., Hu, J. L., Zhang, H. L., & Ying, Q. (2019). Source apportionment of summertime ozone in China using a source-oriented chemical transport model. Atmospheric Environment, 211, 79-90. http://dx.doi.org/10.1016/j.atmosenv.2019.05.006

Wang, P. F., Guo, H., Hu, J. L., Kota, S. H., Ying, Q., & Zhang, H. (2019). Responses of PM2.5 and O-3 concentrations to changes of meteorology and emissions in China. Science of the Total Environment, 662, 297-306. http://dx.doi.org/10.1016/j.scitotenv.2019.01.227

Wang, Q., Luo, K., Fan, J. R., Gao, X., & Cen, K. F. (2019). Spatial Distribution and Multiscale Transport Characteristics of PM2.5 in China. Aerosol and Air Quality Research, 19(9), 1993-2007. http://dx.doi.org/10.4209/aaqr.2019.04.0202

Wei, W., Li, Y., Ren, Y. T., Cheng, S. Y., & Han, L. H. (2019). Sensitivity of summer ozone to precursor emission change over Beijing during 2010-2015: A WRF-Chem modeling study. Atmospheric Environment, 218. http://dx.doi.org/10.1016/j.atmosenv.2019.116984

Wei, Z., Wang, L. T., Hou, L. Q., Zhang, H. M., Yue, L., Wei, W., . . . Ma, X. (2019). Source Apportionment of PM2.5 in Handan City, China Using a Combined Method of Receptor Model and Chemical Transport Model. In W. Dong, Y. Lian, & Y. Zhang (Eds.), Sustainable Development of Water Resources and Hydraulic Engineering in China (pp. 151-173).

Wu, R. L., Liu, F., Tong, D., Zheng, Y. X., Lei, Y., Hong, C. P., . . . Zhang, Q. (2019). Air quality and health benefits of China’s emission control policies on coal-fired power plants during 2005-2020. Environmental Research Letters, 14(9). http://dx.doi.org/10.1088/1748-9326/ab3bae

Xu, R. T., Tian, H. Q., Pan, S. F., Prior, S. A., Feng, Y. C., Batchelor, W. D., . . . Yang, J. (2019). Global ammonia emissions from synthetic nitrogen fertilizer applications in agricultural systems: Empirical and process-based estimates and uncertainty. Global Change Biology, 25(1), 314-326. http://dx.doi.org/10.1111/gcb.14499

Yang, X. C., Wu, Q. Z., Zhao, R., Cheng, H. Q., He, H. J., Ma, Q., . . . Luo, H. (2019). New method for evaluating winter air quality: PM2.5 assessment using Community Multi-Scale Air Quality Modeling (CMAQ) in Xi’an. Atmospheric Environment, 211, 18-28. http://dx.doi.org/10.1016/j.atmosenv.2019.04.019

Ye, Z. L., Guo, X. R., Cheng, L., Cheng, S. Y., Chen, D. S., Wang, W. L., & Liu, B. (2019). Reducing PM2.5 and secondary inorganic aerosols by agricultural ammonia emission mitigation within the Beijing-Tianjin-Hebei region, China. Atmospheric Environment, 219. http://dx.doi.org/10.1016/j.atmosenv.2019.116989

Ye, Z. Y., Mao, H. T., & Driscoll, C. T. Impacts of anthropogenic emissions and meteorology on mercury deposition over lake vs land surface in upstate New York. Ecotoxicology. http://dx.doi.org/10.1007/s10646-019-02113-2

Ye, Z. Y., Mao, H. T., & Driscoll, C. T. (2019). Primary effects of changes in meteorology vs. anthropogenic emissions on mercury wet deposition: A modeling study. Atmospheric Environment, 198, 215-225. http://dx.doi.org/10.1016/j.atmosenv.2018.10.052

Yoo, J. W., Jeon, W., Park, S. Y., Park, C., Jung, J., Lee, S. H., & Lee, H. W. (2019). Investigating the regional difference of aerosol feedback effects over South Korea using the WRF-CMAQ two-way coupled modeling system. Atmospheric Environment, 218. http://dx.doi.org/10.1016/j.atmosenv.2019.116968

Yu, M. F., Zhu, Y., Lin, C. J., Wang, S. X., Xing, J., Jang, C., . . . Yu, L. (2019). Effects of air pollution control measures on air quality improvement in Guangzhou, China. Journal of Environmental Management, 244, 127-137. http://dx.doi.org/10.1016/j.jenvman.2019.05.046

Zare A., Fahey K., Sarwar G., Cohen R., Pye H. (2019) Vapor-pressure pathways initiate but hydrolysis products dominate the aerosol estimated from organic nitrates. ACS Earth and Space Chemistry, 3(8), 1426-1437. doi: https://doi.org/10.1021/acsearthspacechem.9b00067

Zhai, X. X., Mulholland, J. A., Friberg, M. D., Holmes, H. A., Russell, A. G., & Hu, Y. T. (2019). Spatial PM2.5 mobile source impacts using a calibrated indicator method. Journal of the Air & Waste Management Association, 69(4), 402-414. http://dx.doi.org/10.1080/10962247.2018.1532468

Zhang, C., Di, L. P., Sun, Z. H., Lin, L., Yu, E. G., & Gaigalas, J. (2019). Exploring cloud-based Web Processing Service: A case study on the implementation of CMAQ as a Service. Environmental Modelling & Software, 113, 29-41. http://dx.doi.org/10.1016/j.envsoft.2018.11.019

Zhang, G., Gao, Y., Cai, W. J., Leung, L. R., Wang, S. X., Zhao, B., . . . Gao, H. W. (2019). Seesaw haze pollution in North China modulated by the sub-seasonal variability of atmospheric circulation. Atmospheric Chemistry and Physics, 19(1), 565-576. http://dx.doi.org/10.5194/acp-19-565-2019

Zhang, Q., Xue, D., Liu, X. H., Gong, X., & Gao, H. W. (2019). Process analysis of PM2.5 pollution events in a coastal city of China using CMAQ. Journal of Environmental Sciences-China, 79, 225-238. http://dx.doi.org/10.1016/j.jes.2018.09.007

Zhang S., Xing J., Sarwar G., Ge Y., He H., Duan F., Zhao Y., He K., Zhu L., Chu B. (2019) Parameterization of heterogeneous reaction of SO2 to sulfate on dust with coexistence of NH3 and NO2 under different humidity conditions. Atmospheric Environment, 208, 133-140. doi: https://doi.org/10.1016/j.atmosenv.2019.04.004

Zhang, T. H., Zhang, H. D., Zhang, B. H., Rao, X. Q., An, L. C., Lv, M. Y., & Xu, R. (2019). Multi-model Ensemble Forecast System for Surface-Layer PM2.5 Concentration in China. In S. Sun, M. Fu, & L. Xu (Eds.), Signal and Information Processing, Networking and Computers (Vol. 550, pp. 462-470). https://link.springer.com/chapter/10.1007%2F978-981-13-7123-3_54

Zhang, Y., Foley, K. M., Schwede, D. B., Bash, J. O., Pinto, J. P., & Dennis, R. L. (2019). A Measurement-Model Fusion Approach for Improved Wet Deposition Maps and Trends. Journal of Geophysical Research: Atmospheres, 124(7), 4237-4251. doi: https://doi.org/10.1029/2018JD029051

Zhao, B., Wang, S. X., Ding, D., Wu, W. J., Chang, X., Wang, J. D., . . . Gu, Y. (2019). Nonlinear relationships between air pollutant emissions and PM2.5-related health impacts in the Beijing-Tianjin-Hebei region. Science of the Total Environment, 661, 375-385. http://dx.doi.org/10.1016/j.scitotenv.2019.01.169

Zhao, X. F., Zhao, Y., Chen, D., Li, C. Y., & Zhang, J. (2019). Top-down estimate of black carbon emissions for city clusters using ground observations: a case study in southern Jiangsu, China. Atmospheric Chemistry and Physics, 19(4), 2095-2113. http://dx.doi.org/10.5194/acp-19-2095-2019

Zhao, Z. J., Wang, Y. X., Qin, M. M., Hu, Y. T., Xie, Y. Y., & Russell, A. G. (2019). Drought Impacts on Secondary Organic Aerosol: A Case Study in the Southeast United States. Environmental Science & Technology, 53(1), 242-250. http://dx.doi.org/10.1021/acs.est.8b04842

Zheng, H. T., Cai, S. Y., Wang, S. X., Zhao, B., Chang, X., & Hao, J. M. (2019). Development of a unit-based industrial emission inventory in the Beijing-Tianjin-Hebei region and resulting improvement in air quality modeling. Atmospheric Chemistry and Physics, 19(6), 3447-3462. http://dx.doi.org/10.5194/acp-19-3447-2019

Zhu, Z. C., Yan, H. J., & Ng, M. K. (2019). The use of forecast gradients in 3DVar data assimilation. Applied Mathematical Modelling, 74, 244-257. http://dx.doi.org/10.1016/j.apm.2019.04.038

Zhou, L. X., Schwede, D. B., Appel, K. W., Mangiante, M. J., Wong, D. C., Napelenok, S. L., . . . Zhang, B. L. (2019). The impact of air pollutant deposition on solar energy system efficiency: An approach to estimate PV soiling effects with the Community Multiscale Air Quality (CMAQ) model. Science of the Total Environment, 651, 456-465. doi: https://doi.org/10.1016/j.scitotenv.2018.09.19

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.

Xu, L., Pye, H. O. T., He, J., Chen, Y. L., Murphy, B. N., Ng, N. L. (2018). Experimental and model estimates of the contributions from biogenic monoterpenes and sesquiterpenes to secondary organic aerosol in the southeastern United States.  Atmos. Chem. Phys., 18: 12613-12637. doi: 10.5194/acp-18-12613-2018

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

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

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

2017

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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

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

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

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

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

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

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

2016

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

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

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

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

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

Baker, K.R., Woody, M.C., Tonnesen, G.S., Hutzell, W., Pye, H.O.T., Beaver, M.R., Pouliot, G., & Pierce, T. (2016). Contribution of regional-scale fire events to ozone and PM_2.5air 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 PM_2.5concentration 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 NO_x. 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 PM_2.5 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 PM_2.5reductions 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 NO_x 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 PM_2.5, ambient air temperature, and asthma symptoms in the past 14 days among adults with active asthma. Environmental Health Perspectives, 124(12), 1882-1890. doi: 10.1289/EHP92

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Shimadera, H., Kojima, T., & Kondo, A. (2016). Evaluation of air quality model performance for simulating long-range transport and local pollution of PM_2.5 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 NO_x 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 PM_2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model. Atmospheric Environment, 147, 384-394. doi: 10.1016/j.atmosenv.2016.10.016

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

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

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

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

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

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

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

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

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

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

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

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

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

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2015

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Georgieva, I., Gadzhev, G., Ganev, K., Prodanova, M., Syrakov, D., & Miloshev, N. (2015). Numerical study of the air quality in the city of Sofia - some preliminary results. International Journal of Environment and Pollution, 57(3-4), 162-174.

Gilliam, R. C., Hogrefe, C., Godowitch, J. M., Napelenok, S., Mathur, R., & Rao, S. T. (2015). Impact of inherent meteorology uncertainty on air quality model predictions. Journal of Geophysical Research-Atmospheres, 120(23). doi: 10.1002/2015jd023674

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

Gonzalez-Abraham, R., Chung, S. H., Avise, J., Lamb, B., Salathe, E. P., Nolte, C. G., . . . Streets, D. G. (2015). The effects of global change upon United States air quality. Atmospheric Chemistry and Physics, 15(21), 12645-12665. doi: 10.5194/acp-15-12645-2015

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

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

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

Hayes, P. L., Carlton, A. G., Baker, K. R., Ahmadov, R., Washenfelder, R. A., Alvarez, S., . . . Jimenez, J. L. (2015). Modeling the formation and aging of secondary organic aerosols in Los Angeles during CalNex 2010. Atmospheric Chemistry and Physics, 15(10), 5773-5801. doi: 10.5194/acp-15-5773-2015

Hogrefe, C., Pouliot, G., Wong, D., 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

Hou, X. T., Strickland, M. J., & Liao, K. J. (2015). Contributions of regional air pollutant emissions to ozone and fine particulate matter-related mortalities in eastern US urban areas. Environmental Research, 137, 475-484. doi: 10.1016/j.envres.2014.10.038

Hu, J. L., Wu, L., Zheng, B., Zhang, Q., He, K. B., Chang, Q., . . . Zhang, H. L. (2015). Source contributions and regional transport of primary particulate matter in China. Environmental Pollution, 207, 31-42. doi: 10.1016/j.envpol.2015.08.037

Huang, M., Tong, D., Lee, P., Pan, L., Tang, Y., Stajner, I., . . . Wang, J. (2015). Toward enhanced capability for detecting and predicting dust events in the western United States: the Arizona case study. Atmospheric Chemistry and Physics, 15(21), 12595-12610. doi: 10.5194/acp-15-12595-2015

Huang, Z. J., Wang, S. S., Zheng, J. Y., Yuan, Z. B., Ye, S. Q., & Kang, D. W. (2015). Modeling inorganic nitrogen deposition in Guangdong province, China. Atmospheric Environment, 109, 147-160. doi: 10.1016/j.atmosenv.2015.03.014

Im, U., Bianconi, R., Solazzo, E., Kioutsioukis, I., Badia, A., Balzarini, A., . . . Galmarini, S. (2015). Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter. Atmospheric Environment, 115, 421-441. doi: 10.1016/j.atmosenv.2014.08.072

Itahashi, S., Uno, I., Hayami, H., & Fujita, S. (2015). Variation of the ratio of nitrate to non-seasalt sulfate in precipitation over East Asia with emissions from China. Atmospheric Environment, 118, 87-97. doi: 10.1016/j.atmosenv.2015.07.032

Ivey, C. E., Holmes, H. A., Hu, Y. T., Mulholland, J. A., & Russell, A. G. (2015). Development of PM2.5 source impact spatial fields using a hybrid source apportionment air quality model. Geoscientific Model Development, 8(7), 2153-2165. doi: 10.5194/gmd-8-2153-2015

Jeon, W., Choi, Y., Lee, H. W., Lee, S. H., Yoo, J. W., Park, J., & Lee, H. J. (2015). A quantitative analysis of grid nudging effect on each process of PM2.5 production in the Korean Peninsula. Atmospheric Environment, 122, 763-774. doi: 10.1016/j.atmosenv.2015.10.050

Jones, R. R., Hogrefe, C., Fitzgerald, E. F., Hwang, S. A., Ozkaynak, H., Garcia, V. C., & Lin, S. (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

Jose, R. S., Perez, J. L., Pecci, J., Garzon, A., & Palacios, M. (2015). Comparison between different dynamical downscaling methods using WRF-Chem for urban applications: Madrid case study. International Journal of Environment and Pollution, 58(4), 293-306. doi: 10.1504/ijep.2015.077459

Kong, X., Forkel, R., Sokhi, R. S., Suppan, P., Baklanov, A., Gauss, M., . . . Galmarini, S. (2015). Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII phase-2. Atmospheric Environment, 115, 527-540. doi: 10.1016/j.atmosenv.2014.09.020

Koo, B., Kumar, N., Knipping, E., Nopmongcol, U., Sakulyanontvittaya, T., Odman, M. T., . . . Yarwood, G. (2015). Chemical transport model consistency in simulating regulatory outcomes and the relationship to model performance. Atmospheric Environment, 116, 159-171. doi: 10.1016/j.atmosenv.2015.06.036

Kota, S. H., Schade, G., Estes, M., Boyer, D., & Ying, Q. (2015). Evaluation of MEGAN predicted biogenic isoprene emissions at urban locations in Southeast Texas. Atmospheric Environment, 110, 54-64. doi: 10.1016/j.atmosenv.2015.03.027

Kou, X. X., Zhang, M. G., Peng, Z., & Wang, Y. H. (2015). Assessment of the biospheric contribution to surface atmospheric CO2 concentrations over East Asia with a regional chemical transport model. Advances in Atmospheric Sciences, 32(3), 287-300. doi: 10.1007/s00376-014-4059-6

Kuhlmann, G., Lam, Y. F., Cheung, H. M., Hartl, A., Fung, J. C. H., Chan, P. W., & Wenig, M. O. (2015). Development of a custom OMI NO2 data product for evaluating biases in a regional chemistry transport model. Atmospheric Chemistry and Physics, 15(10), 5627-5644. doi: 10.5194/acp-15-5627-2015

Kwak, K. H., Baik, J. J., Ryu, Y. H., & Lee, S. H. (2015). Urban air quality simulation in a high-rise building area using a CFD model coupled with mesoscale meteorological and chemistry-transport models. Atmospheric Environment, 100, 167-177. doi: 10.1016/j.atmosenv.2014.10.059

Kwok, R. H. F., Baker, K. R., Napelenok, S. L., & Tonnesen, G. S. (2015). Photochemical grid model implementation and application of VOC, NOx, and O-3 source apportionment. Geoscientific Model Development, 8(1), 99-114. doi: 10.5194/gmd-8-99-2015

Li, J. Y., Cleveland, M., Ziemba, L. D., Griffin, R. J., Barsanti, K. C., Pankow, J. F., & Ying, Q. (2015). Modeling regional secondary organic aerosol using the Master Chemical Mechanism. Atmospheric Environment, 102, 52-61. doi: 10.1016/j.atmosenv.2014.11.054

Liaskos, C. E., Allen, D. J., & Pickering, K. E. (2015). Sensitivity of tropical tropospheric composition to lightning NOx production as determined by replay simulations with GEOS-5. Journal of Geophysical Research-Atmospheres, 120(16), 8512-8534. doi: 10.1002/2014jd022987

Liu, Y. M., Zhang, S. T., Fan, Q., Wu, D., Chan, P. W., Wang, X. M., . . . Hong, Y. Y. (2015). Accessing the Impact of Sea-Salt Emissions on Aerosol Chemical Formation and Deposition over Pearl River Delta, China. Aerosol and Air Quality Research, 15(6), 2232-2245. doi: 10.4209/aaqr.2015.02.0127

Lu, X. C., Fung, J. C. H., & Wu, D. W. (2015). Modeling wet deposition of acid substances over the PRD region in China. Atmospheric Environment, 122, 819-828. doi: 10.1016/j.atmosenv.2015.09.035

Makar, P. A., Gong, W., Milbrandt, J., Hogrefe, C., Zhang, Y., Curci, G., . . . Galmarini, S. (2015). Feedbacks between air pollution and weather, Part 1: Effects on weather. Atmospheric Environment, 115, 442-469. doi: 10.1016/j.atmosenv.2014.12.003

Mannisto, T., Mendola, P., Grantz, K. L., Leishear, K., Sundaram, R., Sherman, S., . . . Liu, D. P. (2015). Acute and recent air pollution exposure and cardiovascular events at labour and delivery. Heart, 101(18), 1491-1498. doi: 10.1136/heartjnl-2014-307366

Mannisto, T., Mendola, P., Liu, D. P., Leishear, K., Sherman, S., & Laughon, S. K. (2015). Acute air pollution exposure and blood pressure at delivery among women with and without hypertension. American Journal of Hypertension, 28(1), 58-72. doi: 10.1093/ajh/hpu077

Mannisto, T., Mendola, P., Liu, D. P., Leishear, K., Ying, Q., & Sundaram, R. (2015). Temporal variation in the acute effects of air pollution on blood pressure measured at admission to labor/delivery. Air Quality Atmosphere and Health, 8(1), 13-28. doi: 10.1007/s11869-014-0268-5

McHenry, J. N., Vukovich, J. M., & Hsu, N. C. (2015). Development and implementation of a remote-sensing and in situ data-assimilating version of CMAQ for operational PM2.5 forecasting. Part 1: MODIS aerosol optical depth (AOD) data-assimilation design and testing. Journal of the Air & Waste Management Association, 65(12), 1395-1412. doi: 10.1080/10962247.2015.1096862

Mesbah, S. M., Hakami, A., & Schott, S. (2015). Optimal Ozone Control with Inclusion of Spatiotemporal Marginal Damages and Electricity Demand. Environmental Science & Technology, 49(13), 7870-7878. doi: 10.1021/acs.est.5b01178

Nishimura, H., Shimadera, H., Kondo, A., Bao, H., Shrestha, K. L., & Inoue, Y. (2015). Evaluation of light dependence of monoterpene emission and its effect on surface ozone concentration. Atmospheric Environment, 104, 143-153. doi: 10.1016/j.atmosenv.2015.01.011

Nolte, C. G., Appel, K. W., Kelly, J. T., Bhave, P. V., Fahey, K. M., Collett, J. L., . . . Young, J. O. (2015). Evaluation of the Community Multiscale Air Quality (CMAQ) model v5.0 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

Pan, S., Choi, Y. S., Roy, A., Li, X. S., Jeon, W., & Souri, A. H. (2015). Modeling the uncertainty of several VOC and its impact on simulated VOC and ozone in Houston, Texas. Atmospheric Environment, 120, 404-416. doi: 10.1016/j.atmosenv.2015.09.029

Pankow, J. F., Marks, M. C., Barsanti, K. C., Mahmud, A., Asher, W. E., Li, J. Y., . . . Kleeman, M. J. (2015). Molecular view modeling of atmospheric organic particulate matter: Incorporating molecular structure and co-condensation of water. Atmospheric Environment, 122, 400-408. doi: 10.1016/j.atmosenv.2015.10.001

Park, S. U. (2015). Spatial distributions of aerosol loadings and depositions in East Asia during the year 2010. Atmospheric Environment, 107, 244-254. doi: 10.1016/j.atmosenv.2015.02.046

Park, S. U., Lee, I. H., Choe, A., & Joo, S. J. (2015). Contributions of the pollutant emission in South Korea to the aerosol concentrations and depositions in Asia. Asia-Pacific Journal of Atmospheric Sciences, 51(2), 183-195. doi: 10.1007/s13143-015-0069-2

Peng, Z., Zhang, M., Kou, X., Tian, X., & Ma, X. (2015). A regional carbon data assimilation system and its preliminary evaluation in East Asia. Atmospheric Chemistry and Physics, 15(2), 1087-1104. doi: 10.5194/acp-15-1087-2015

Porter, P. S., Rao, S. T., Hogrefe, C., Gego, E., & Mathur, R. (2015). Methods for reducing biases and errors in regional photochemical model outputs for use in emission reduction and exposure assessments. Atmospheric Environment, 112, 178-188. doi: 10.1016/j.atmosenv.2015.04.039

Pye, H.O.T., Luecken, D.J., Xu, L., Boyd, C.M., Ng, N.L., Baker, K.R., … , & Shepson, P.B. (2015). Modeling the current and future roles of particulate organic nitrates in the southeastern United States. Environ. Sci. Technol., 49(24), 14195-14203. doi: 10.1021/acs.est.5b03738

Qiao, X., Tang, Y., Hu, J. L., Zhang, S., Li, J. Y., Kota, S. H., . . . Ying, Q. (2015). Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part I. Base case model results. Science of the Total Environment, 532, 831-839. doi: 10.1016/j.scitotenv.2015.05.108

Qiao, X., Tang, Y., Kota, S. H., Li, J. Y., Wu, L., Hu, J. L., . . . Ying, Q. (2015). Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part II. Emission sector and source region contributions. Science of the Total Environment, 532, 840-848. doi: 10.1016/j.scitotenv.2015.05.107

Qin, M. M., Wang, X. S., Hu, Y. T., Huang, X. F., He, L. Y., Zhong, L. J., . . . Zhang, Y. H. (2015). Formation of particulate sulfate and nitrate over the Pearl River Delta in the fall: Diagnostic analysis using the Community Multiscale Air Quality model. Atmospheric Environment, 112, 81-89. doi: 10.1016/j.atmosenv.2015.04.027

Ran, L. M., Gilliam, R., Binkowski, F. S., Xiu, A. J., Pleim, J., & Band, L. (2015). Sensitivity of the Weather Research and Forecast/Community Multiscale Air Quality modeling system to MODIS LAI, FPAR, and albedo. Journal of Geophysical Research-Atmospheres, 120(16), 8491-8511. doi: 10.1002/2015jd023424

Robledo, C. A., Mendola, P., Yeung, E., Mannisto, T., Sundaram, R., Liu, D. P., . . . Grantz, K. L. (2015). Preconception and early pregnancy air pollution exposures and risk of gestational diabetes mellitus. Environmental Research, 137, 316-322. doi: 10.1016/j.envres.2014.12.020

Sarwar, G., Gantt, B., Schwede, D., Foley, K., Mathur, R., & Saiz-Lopez, A. (2015). Impact of Enhanced Ozone Deposition and Halogen Chemistry on Tropospheric Ozone over the Northern Hemisphere. Environmental Science & Technology, 49(15), 9203-9211. doi: 10.1021/acs.est.5b01657

Shimadera, H., Kojima, T., Kondo, A., & Inoue, Y. (2015). Performance comparison of CMAQ and CAMx for one-year PM2.5 simulation in Japan. International Journal of Environment and Pollution, 57(3-4), 146-161.

Song, S. K., Shon, Z. H., & Kang, Y. H. (2015). Comparison of impacts of aircraft emissions within the boundary layer on the regional ozone in South Korea. Atmospheric Environment, 117, 169-179. doi: 10.1016/j.atmosenv.2015.07.010

Sun, J., Fu, J. S., Huang, K., & Gao, Y. (2015). Estimation of future PM2.5- and ozone-related mortality over the continental United States in a changing climate: An application of high-resolution dynamical downscaling technique. Journal of the Air & Waste Management Association, 65(5), 611-623. doi: 10.1080/10962247.2015.1033068

Syrakov, D., Prodanova, M., Georgieva, E., Etropolska, I., & Slavov, K. (2015). Impact of NOx emissions on air quality simulations with the Bulgarian WRF-CMAQ modelling system. International Journal of Environment and Pollution, 57(3-4), 285-296.

Tagaris, E., Sotiropoulou, R. E. P., Gounaris, N., Andronopoulos, S., & Vlachogiannis, D. (2015). Effect of the Standard Nomenclature for Air Pollution (SNAP) Categories on Air Quality over Europe. Atmosphere, 6(8), 1119-1128. doi: 10.3390/atmos6081119

Tan, J. N., Zhang, Y., Ma, W. C., Yu, Q., Wang, J., & Chen, L. M. (2015). Impact of spatial resolution on air quality simulation: A case study in a highly industrialized area in Shanghai, China. Atmospheric Pollution Research, 6(2), 322-333. doi: 10.5094/apr.2015.036

Tang, Y. H., Chai, T. F., Pan, L., Lee, P., Tong, D., Kim, H. C., & Chen, W. W. (2015). Using optimal interpolation to assimilate surface measurements and satellite AOD for ozone and PM2.5: A case study for July 2011. Journal of the Air & Waste Management Association, 65(10), 1206-1216. doi: 10.1080/10962247.2015.1062439

Thunis, P., Clappier, A., Pisoni, E., & Degraeuwe, B. (2015). Quantification of non-linearities as a function of time averaging in regional air quality modeling applications. Atmospheric Environment, 103, 263-275. doi: 10.1016/j.atmosenv.2014.12.057

Tong, D. Q., Lamsal, L., Pan, L., Ding, C., Kim, H., Lee, P., . . . Stajner, I. (2015). Long-term NOx trends over large cities in the United States during the great recession: Comparison of satellite retrievals, ground observations, and emission inventories. Atmospheric Environment, 107, 70-84. doi: 10.1016/j.atmosenv.2015.01.035

Trail, M., Tsimpidi, A. P., Liu, P., Tsigaridis, K., Hu, Y., Nenes, A., . . . Russell, A. G. (2015). Reforestation and crop land conversion impacts on future regional air quality in the Southeastern US. Agricultural and Forest Meteorology, 209, 78-86. doi: 10.1016/j.agrformet.2015.05.001

Trail, M. A., Tsimpidi, A. P., Liu, P., Tsigaridis, K., Hu, Y. T., Rudokas, J. R., . . . Russell, A. G. (2015). Impacts of Potential CO2-Reduction Policies on Air Quality in the United States. Environmental Science & Technology, 49(8), 5133-5141. doi: 10.1021/acs.est.5b00473

Tsai, I. C., Chen, J. P., Lin, Y. C., Chou, C. C. K., & Chen, W. N. (2015). Numerical investigation of the coagulation mixing between dust and hygroscopic aerosol particles and its impacts. Journal of Geophysical Research-Atmospheres, 120(9), 4213-4233. doi: 10.1002/2014jd022899

Turner, M. D., Henze, D. K., Capps, S. L., Hakami, A., Zhao, S. L., Resler, J., . . . Chai, T. F. (2015). Premature deaths attributed to source-specific BC emissions in six urban US regions. Environmental Research Letters, 10(11). doi: 10.1088/1748-9326/10/11/114014

Turner, M. D., Henze, D. K., Hakami, A., Zhao, S. L., Resler, J., Carmichael, G. R., . . . Chai, T. F. (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

Tzortziou, M., Herman, J. R., Cede, A., Loughner, C. P., Abuhassan, N., & Naik, S. (2015). Spatial and temporal variability of ozone and nitrogen dioxide over a major urban estuarine ecosystem. Journal of Atmospheric Chemistry, 72(3-4), 287-309. doi: 10.1007/s10874-013-9255-8

Vennam, L. P., Vizuete, W., & Arunachalam, S. (2015). Evaluation of model-predicted hazardous air pollutants (HAPs) near a mid-sized US airport. Atmospheric Environment, 119, 107-117. doi: 10.1016/j.atmosenv.2015.08.015

Wang, H., Zhu, Y., Jang, C., Lin, C. J., Wang, S. X., Fu, J. S., . . . Long, S. C. (2015). Design and demonstration of a next-generation air quality attainment assessment system for PM2.5 and O-3. Journal of Environmental Sciences, 29, 178-188. doi: 10.1016/j.jes.2014.08.023

Wang, K., Yahya, K., Zhang, Y., Hogrefe, C., Pouliot, G., Knote, C., . . . Bennartz, R. (2015). A multi-model assessment for the 2006 and 2010 simulations under the Air Quality Model Evaluation International Initiative (AQMEII) Phase 2 over North America: Part II. Evaluation of column variable predictions using satellite data. Atmospheric Environment, 115, 587-603. doi: 10.1016/j.atmosenv.2014.07.044

Wang, L. H., Follette-Cook, M. B., Newchurch, M. J., Pickering, K. E., Pour-Biazar, A., Kuang, S., . . . Peterson, H. (2015). Evaluation of lightning-induced tropospheric ozone enhancements observed by ozone lidar and simulated by WRF/Chem. Atmospheric Environment, 115, 185-191. doi: 10.1016/j.atmosenv.2015.05.054

Wang, L. T., Wei, Z., Wei, W., Fu, J. S., Meng, C. C., & Ma, S. M. (2015). Source apportionment of PM2.5 in top polluted cities in Hebei, China using the CMAQ model. Atmospheric Environment, 122, 723-736. doi: 10.1016/j.atmosenv.2015.10.041

Wang, N., Guo, H., Jiang, F., Ling, Z. H., & Wang, T. (2015). Simulation of ozone formation at different elevations in mountainous area of Hong Kong using WRF-CMAQ model. Science of the Total Environment, 505, 939-951. doi: 10.1016/j.scitotenv2014.10.070

Wang, Z. S., Pan, L. B., Li, Y. T., Zhang, D. W., Ma, J., Sun, F., . . . Wang, X. R. (2015). Assessment of air quality benefits from the national pollution control policy of thermal power plants in China: A numerical simulation. Atmospheric Environment, 106, 288-304. doi: 10.1016/j.atmosenv.2015.01.022

Wong, D. C., Yang, C. E., Fu, J. S., Wong, K., & Gao, Y. (2015). An approach to enhance pnetCDF performance in environmental modeling applications. Geoscientific Model Development, 8(4), 1033-1046. doi: 10.5194/gmd-8-1033-2015

Woody, M. C., West, J. J., Jathar, S. H., Robinson, A. L., & Arunachalam, S. (2015). Estimates of non-traditional secondary organic aerosols from aircraft SVOC and IVOC emissions using CMAQ. Atmospheric Chemistry and Physics, 15(12), 6929-6942. doi: 10.5194/acp-15-6929-2015

Xing, J., Mathur, R., Pleim, J., Hogrefe, C., Gan, C. M., 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(17), 9997-10018. doi: 10.5194/acp-15-9997-2015

Xing, J., Mathur, R., Pleim, J., Hogrefe, C., Gan, C. M., Wong, D. C., . . . 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), 2723-2747. doi: 10.5194/acp-15-2723-2015

Xing, J., Mathur, R., Pleim, J., Hogrefe, C., Gan, C. M., Wong, D. C., . . . Wang, J. D. (2015). Air pollution and climate response to aerosol direct radiative effects: A modeling study of decadal trends across the northern hemisphere. Journal of Geophysical Research-Atmospheres, 120(23). doi: 10.1002/2015jd023933

Yan, R. C., Yu, S. C., Zhang, Q. Y., Li, P. F., Wang, S., Chen, B. X., & Liu, W. P. (2015). A heavy haze episode in Beijing in February of 2014: Characteristics, origins and implications. Atmospheric Pollution Research, 6(5), 867-876. doi: 10.5094/apr.2015.096

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

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

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

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

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

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

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

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

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

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

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2014

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Bar chart of number of CMAQ publications between 2000 and 2019.

External Review of the CMAQ System

The Community Modeling and Analysis System (CMAS) Center Exit, 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.

Access results of the past five CMAQ peer review panels

Community Multiscale Air Quality Modeling System (CMAQ)

CMAQ Publications and Peer Review

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External Review of the CMAQ System

Community Multiscale Air Quality Modeling System (CMAQ)