Development of a fast, urban chemistry metamodel for inclusion in global models

Atmospheric Chemistry and Physics

Volumn 11, Issue 15, 2011, Pages 7629-7656

  Cohen, J B ^a,b   Prinn, R G ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b SINGAPORE MIT ALLIANCE FOR RESEARCH AND TECHNOLOGY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; AIR TEMPERATURE; ANTHROPOGENIC EFFECT; ATMOSPHERIC CHEMISTRY; BLACK CARBON; CARBON MONOXIDE; COMPLEXITY; CONCENTRATION (COMPOSITION); FORMALDEHYDE; INCLUSION; NUMERICAL MODEL; OZONE; PARTICULATE MATTER; URBAN ATMOSPHERE;

EID: 79960987943     PISSN: 16807316     EISSN: 16807324     Source Type: Journal    
DOI: 10.5194/acp-11-7629-2011     Document Type: Review

References (34)

1. Badarinath, K., Kharol, S., Reddy, R., Gopal, K., Narasimhulu, K., Reddy, L., and Kumar, K.: Black carbon aerosol mass concentration variation in urban and rural environments of India-a case study, Atmos. Sci. Lett., 10, 29-33, doi:10.1002/asl.206, 2009.
2. Beegum, S., Moorthy, K., Babu, S., Satheesh, S., Vinoj, V., Badarinath, K., Safai, P., Devara, P., Singh, S., DUC, V., and Pant, P.: Spatial distribution of aerosol black carbon over India during pre-monsoon season, Atmos. Environ., 43, 1071-1078, doi:10.1016/j.atmosenv.2008.11.042, 2009.
3. Butler, T. and Lawrence, M.: The influence of megacities on global atmospheric chemistry: a modelling study, Environ. Chem., 6, 219-225, 2009.
4. Calbo, J., Pan, W., Webster, M., Prinn, R., and McRae, G.: Parameterization of urban subgrid scale processes in global atmospheric chemistry models, J. Geophys. Res.-Atmos., 103, 3437-3451, 1998. (Pubitemid 28392517)
5. Center for International Earth Science Information Network (CIESIN)Columbia University; and Centro Internacional de Agricultura Tropical (CIAT): Gridded Population of the World Version 3 (GPWv3): Population Grids. Palisades, NY: Socioeco-nomic Data and Applications Center (SEDAC), Columbia University, available at:http://sedac.ciesin.columbia.edu/gpw, 2005.
6. Chang, J. S., Brost, R. A., Isaksen, I. S. A., Madronich, S., Middleton, P., Stockwell, W. R., and Walcek, C. J.: A 3-Dimensional Eulerian Acid Deposition Model-Physical Concepts and Formulation, J. Geophys. Res.-Atmos., 92, 14681-14700, doi:10.1029/JD092iD12p14681, 1987.
7. Cossa, P.: Uncertainty analysis of the cost of climate policies, Master's thesis, Massachusetts Institute of Technology, http://dspace. mit.edu/handle/1721.1/30074, 2004.
8. Ding, A. J., Wang, T., Thouret, V., Cammas, J.-P., and Nédélec, P.: Tropospheric ozone climatology over Beijing: analysis of aircraft data from the MOZAIC program, Atmos. Chem. Phys., 8, 1-13, doi:10.5194/acp-8-1-2008, 2008.
9. Dutkiewicz, V., Alvi, S., Ghauri, B., Choudhary, M., and Husain, L.: Black carbon aerosols in urban air in South Asia, Atmos. Environ., 43, 1737-1744, doi:10.1016/j.atmosenv.2008.12.043, 2009.
10. Dutta, C., Som, D., Chatterjee, A., Mukherjee, A., Jana, T., and Sen, S.: Mixing ratios of carbonyls and BTEX in ambient air of Kolkata, India and their associated health risk, Environ. Monit. Assess., 148, 97-107, doi:10.1007/s10661-007-0142-0, 2009.
11. Gery, M., Whitten, G., Killus, J., and Dodge, M.: A photochemical kinetics mechanism for urban and regional scale computer modeling, J. Geophys. Res.-Atmos., 94, 12925-12956, 1989.
12. Godoy, M., Godoy, J., Roldao, L., Soluri, D., and Don-agemma, R.: Coarse and fine aerosol source apportionment in Rio de Janeiro, Brazil, Atmos. Environ., 43, 2366-2374, doi:10.1016/j.atmosenv.2008.12.046, 2009.
13. Houweling, S., Dentener, F., and Lelieveld, J.: The impact of non-methane hydrocarbon compounds on tropospheric photochemistry, J. Geophys. Res.-Atmos., 103, 10673-10696, 1998. (Pubitemid 128718582)
14. Huang, X.-F., He, L.-Y., Hu, M., Canagaratna, M. R., Sun, Y., Zhang, Q., Zhu, T., Xue, L., Zeng, L.-W., Liu, X.-G., Zhang, Y.-H., Jayne, J. T., Ng, N. L., and Worsnop, D. R.: Highly time-resolved chemical characterization of atmospheric submi-cron particles during 2008 Beijing Olympic Games using an Aerodyne High-Resolution Aerosol Mass Spectrometer, Atmos. Chem. Phys., 10, 8933-8945, doi:10.5194/acp-10-8933-2010, 2010
15. Husain, L., Dutkiewicz, V., Khan, A., and Ghauri, B.: Characterization of carbonaceous aerosols in urban air, Atmos. Environ., 41, 6872-6883, doi:10.1016/j.atmosenv.2007.04.037, 2007. (Pubitemid 47430048)
16. Jones, P., New, M., Parker, D., Martin, S., and Rigor, I.: Surface air temperature and its changes over the past 150 years, Rev. Gephys., 37, 173-199, 1999. (Pubitemid 29453882)
17. Koo, B. Y., Ansari, A. S., and Pandis, S. N.: Integrated approaches to modeling the organic and inorganic atmospheric aerosol components, Atmos. Environ., 34, 4757-4768, doi:10.1016/j.atmosenv.2003.08.016, 2003. (Pubitemid 37194276)
18. Lei, W., Zavala, M., de Foy, B., Volkamer, R., Molina, M. J., and Molina, L. T.: Impact of primary formaldehyde on air pollution in the Mexico City Metropolitan Area, Atmos. Chem. Phys., 9, 2607-2618, doi:10.5194/acp-9-2607- 2009, 2009.
19. Mayer, M., Wang, C., Webster, M., and Prinn, R.: Linking local air pollution to global chemistry and climate, J. Geophys. Res.-Atmos., 105, 22869-22896, 2000.
20. Nenes, A., Pandis, S. N., and Pilinis, C.: Continued development and testing of a new thermodynamic aerosol module for urban and regional air quality models, Atmos. Environ., 33, 1553-1560, doi:10.1016/S1352-2310(98)00352-5, 1999. (Pubitemid 29125516)
21. Paltsev, S., Reilly, J., Jacoby, H., Eckaus, R., McFarland, J., Sarofim, M., Asadoorian, M., and Babiker, M.: The MIT emissions prediction and policy analysis (EPPA) Model: Version 4, The MIT Joint Program on the Science and Policy of Global Change Report Series 125, Massachusetts Institute of Technology, http://globalchange.mit.edu/files/document/MITJPSPGC Rpt125.pdf, 2005.
22. Prather, M., Ehhalt, D., Dentener, F., Derwent, R., Dlugokencky, E., Holland, E., Isaksen, I., Katima, J., Kirchhoff, V., Matson, P., Midglet, P., and Wang, M.: Atmospheric chemistry and greenhouse gases, in: Climate change 2001: The scientific basis. Contribution of working group I to the third assessment report of the Intergovernmental Panel on Climate Change, Cambridge University Press, 2001.
23. Qian, Y., Gustafson Jr., W. I., and Fast, J. D.: An investigation of the sub-grid variability of trace gases and aerosols for global climate modeling, Atmos. Chem. Phys., 10, 6917-6946, doi:10.5194/acp-10-6917-2010, 2010.
24. Ramirez, S., Hermes, U., Andrade, G., Maria, D., Bejaran, R., Garcia, G., Mario, E., Wallo, V., Pompa, T., Ana, C., and delaTor-reVillasenor, O.: The spatial-temporal distribution of the atmospheric polluting agents during the period 2000-2005 in the Urban Area of Guadalajara, Jalisco, Mexico, J. Hazard. Mater., 165, 1128-1141, doi:10.1016/j.jhazmat.2008.10.127, 2009.
25. Russell, M. and Allen, D.: Predicting secondary organic aerosol formation rates in southeast Texas, J. Geophys. Res.-Atmos., 110, 7S17-7S30, 2005.
26. Sarwar, G., Luecken, D., Yarwood, G., Whitten, G., and Carter, W.: Impact of an updated carbon bond mechanism on predictions from the CMAQ modeling system: Preliminary assessment, J. Appl. Meteorol. Clim., 47, 3-14, doi:10.1175/2007JAMC1393.1, 2008. (Pubitemid 351351462)
27. See, S. W., Balasubramanian, R., and Wang, W.: A study of the physical, chemical, and optical properties of ambient aerosol particles in Southeast Asia during hazy and nonhazy days, J. Geophys. Res.-Atmos., 111, 0148-0227, doi:10.1029/2005JD006180, 2006. (Pubitemid 44043267)
28. Sokolov, A., Schlosser, A., Dutkiewicz, S., Paltsev, S., Kicklighter, D., Jacoby, H., Prinn, R., Forest, C., Reilly, J., Wang, C., Felzer, B., Sarofim, M., Scott, J., Stone, P., Melillo, J., and Cohen, J.: MIT integrated global system model (IGSM) version 2: Model description and baseline evaluation, The MIT Joint Program on the Science and Policy of Global Change Report Series 124, Massachusetts Institute of Technology, 2005.
29. Strader, R., Lurmann, F., and Pandis, S. N.: Evaluation of secondary organic aerosol formation in winter, Atmos. Environ., 33, 4849-4863, doi:10.1016/S1352-2310(99)00310-6, 1999. (Pubitemid 29488600)
30. Tatang, M., Pan, W., Prinn, R., and McRae, G.: An efficient method for parametric uncertainty analysis of numerical geophysical models, J. Geophys. Res.-Atmos., 102, 21925-21932, 1997.
31. Vukovich, F.: PAMS data analysis: An investigation of local meteorological effects on ozone during the OTAG 1995 episode and the weekday/weekend differences in the Northeast Corridor, Tech. rep., United States Environmental Protection Agency, http://capita.wustl.edu/otag/reports/pamsinv2/ pamsinv2.html, 1997.
32. Wild, O. and Prather, M.: Global tropospheric ozone modeling: Quantifying errors due to grid resolution, J. Geophys. Res.-Atmos., 111, 11305-11318, doi:10.1029/2005JD006605, 2006. (Pubitemid 44137684)
33. Yang, K., Ting, C., Wang, J., Wingenter, O., and Chan, C.: Diurnal and seasonal cycles of ozone precursors observed from continuous measurement at an urban site in Taiwan, Atmos. Environ., 39, 3221-3230, doi:10.1016/j.atmosenv. 2005.02.003, 2005.
34. Yokouchi, Y.: Seasonal and diurnal variation of isoprene and its reaction products in a semirural area, Atmos. Environ., 28, 2651-2658, 1994. (Pubitemid 24285013)