Articles | Volume 8, issue 1
https://doi.org/10.5194/gmd-8-115-2015
https://doi.org/10.5194/gmd-8-115-2015
Model description paper
 | 
30 Jan 2015
Model description paper |  | 30 Jan 2015

Assessing the nonlinear response of fine particles to precursor emissions: development and application of an extended response surface modeling technique v1.0

B. Zhao, S. X. Wang, J. Xing, K. Fu, J. S. Fu, C. Jang, Y. Zhu, X. Y. Dong, Y. Gao, W. J. Wu, J. D. Wang, and J. M. Hao

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Cited articles

Amann, M., Cofala, J., Gzella, A., Heyes, C., Klimont, Z., and Schopp, W.: Estimating concentrations of fine particulate matter in urban background air of European cities, Interim Report IR-07-001, available at: http://www.iiasa.ac.at (last access: 25 January 2015), International Institute for Applied Systems Analysis, Laxenburg, Austria, 50, 2007.
Carlton, A. G., Bhave, P. V., Napelenok, S. L., Edney, E. D., Sarwar, G., Pinder, R. W., Pouliot, G. A., and Houyoux, M.: Model Representation of Secondary Organic Aerosol in CMAQv4.7, Environ. Sci. Technol., 44, 8553–8560, https://doi.org/10.1021/Es100636q, 2010.
Carmichael, G. R., Sandu, A., and Potra, F. A.: Sensitivity analysis for atmospheric chemistry models via automatic differentiation, Atmos. Environ., 31, 475–489, https://doi.org/10.1016/S1352-2310(96)00168-9, 1997.
Dickerson, R. R., Stedman, D. H., and Delany, A. C.: Direct Measurements of Ozone and Nitrogen-Dioxide Photolysis Rates in the Troposphere, J. Geophys. Res.-Ocean., 87, 4933–4946, https://doi.org/10.1029/Jc087ic07p04933, 1982.
Dong, X. Y., Li, J., Fu, J. S., Gao, Y., Huang, K., and Zhuang, G. S.: Inorganic aerosols responses to emission changes in Yangtze River Delta, China, Sci. Total. Environ., 481, 522–532, https://doi.org/10.1016/j.scitotenv.2014.02.076, 2014.
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