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Meteorological Modeling

  • Chapter
Air Pollution Modeling

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Abstract

Meteorological models are developed for two purposes:

  • to understand local, regional, or global meteorological phenomena

  • to provide the meteorological input required by air pollution diffusion models

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References

  • Anderson, G.E. (1971): Mesoscale influences on wind fields. J. Appl. Meteor., 10:377–386.

    Google Scholar 

  • Bornstein, R.D., S. Klotz, R. Street, U. Pechinger, R. Miller (1987): Modeling the polluted coastal urban environment. Vol. 1. The PBL Model. EPRI Report EA-5091, Palo Alto, California.

    Google Scholar 

  • Chang, J.S., R.A. Brost, I.S. Isaksen, S. Madronich, P. Middleton, W.R. Stockwell, and C.J. Walcek (1987): A three—dimensional Eulerian acid deposition model: Physical concepts and formulation. J. Geophys. Res., 92: 14681–14700.

    Article  Google Scholar 

  • Clark, T.L. (1977): A small—scale dynamic model using a terrain—following coordinate transformation. J. Comput. Phys., 24: 186–215.

    Article  Google Scholar 

  • Danard, M. (1977): A simple model for mesoscale effects of topography on surface winds. Mon. Wea. Rev., 105: 572.

    Google Scholar 

  • Davis, C.G., S.S. Bunker, and J.P. Mutschlecner (1984): Atmospheric transport models for complex terrain. J. Climate and Appl. Meteor., 23: 235–238.

    Google Scholar 

  • Dickerson, M.H. (1978): MASCON–A mass—consistent atmospheric flux model for regions with complex terrain. J. Appl. Meteor., 17: 241–253.

    Article  Google Scholar 

  • Douglas, S.G., and R.C. Kessler (1988): User’s guide to the diagnostic wind model (Version 1. 0 ). Systems Applications, Inc., San Rafael, California.

    Google Scholar 

  • Fast, J.D., and E.S. Takle (1988): Evaluation of an alternative method for numerically model- ing nonhydrostatic flows over irregular terrain. Boundary—Layer Meteor,44:181–206.

    Google Scholar 

  • Fruehauf, G., P. Halpern, P. Lester (1988): Objective analysis of a two—dimensional scalar field by successive corrections using a personal computer. Environ. Software, 3 (2): 72–80.

    Article  Google Scholar 

  • Geai, P. (1987): Reconstitution tridimensionnelle d’un champ de vent dans un domaine a’ topographie complexe a’ partir de meusures in situ. EDF, Chatou, France, Final Report DER/HE/34–87. 05.

    Google Scholar 

  • Goodin, W.R., G.J. McRae, and J.H. Seinfeld (1980): An objective analysis technique for constructing three—dimensional urban—scale wind fields. J. Appl. Meteor., 19: 98–108.

    Article  Google Scholar 

  • Haney, J.L., S.G. Douglas, L.R. Chinkin, D.R. Souten, C.S. Burton, P.T. Roberts (1989): Ozone air quality scoping study for the lower Lake Michigan air quality region. Systems Applications, Inc., Final Report SYSAPP-89/101, San Rafael, California.

    Google Scholar 

  • Hoke, J.E., and R.A. Anthes (1976): The initialization of numerical models by a dynamic—initialization technique. Mon. Wea. Rev., 104: 1551–1556.

    Article  Google Scholar 

  • King, D.S., and S.S. Bunker (1984): Application of atmospheric transport models for complex terrain. J. Climate and Appl. Meteor., 23: 239.

    Article  Google Scholar 

  • Lewellen, W.S., R.I. Sykes, S.F. Parker, D.S. Henn, N.L. Seaman, D.R. Stauffer, and T.T. Warner (1989): A hierarchy of dynamic plume models incorporating uncertainty. Vol. 5: Pennsylvania State University Mesoscale Model (PSU—MM). A.R.A.P. Division of California Research - Technology, Inc., Report EA-6095, Vol. 5, Princeton, New Jersey.

    Google Scholar 

  • Ludwig, F.L., and G. Byrd (1980): An efficient method for deriving mass-consistent flow fields from wind observations in rough terrain. Atmos. Environ., 14: 585–587.

    Article  Google Scholar 

  • Mass, C.F., and D.P. Dempsey (1985): A one-level mesoscale model for diagnosing surface winds in mountainous and coastal regions. Mon. Wea. Rev., 110: 1211.

    Article  Google Scholar 

  • Moussiopoulos, N., and T. Flassak (1986): Two vectorized algorithms for the effective calculation of mass-consistent flow fields. J. Climate and Appl. Meteor., 25: 847–857.

    Article  Google Scholar 

  • Moussiopoulos, N., T. Flassak, and G. Knittel (1988): A refined diagnostic wind model. Environ. Software, 3 (2): 85–94.

    Article  Google Scholar 

  • Patnack, P.C., B.E. Freeman, R.M. Traci, and G.T. Phillips (1983): Improved simulations of mesoscale meteorology. Atmospheric Science Laboratory Report ASL CR–83–0127–1. White Sands Missile Range, New Mexico.

    Google Scholar 

  • Phillips, G.T., and R.M. Traci (1978): A preliminary user guide for the NOABL objective analysis code. Science Applications Inc. Report SAI–78–769–LJ; San Diego, CA. U.S. Department of Energy Report RLO/2440–77–10.

    Google Scholar 

  • Pielke, R.A., and Y. Mahrer (1978): Verification analysis of the University of Virginia three-dimensional mesoscale model prediction over south Florida for July 1, 1973. Mon. Wea. Rev., 106: 1568–1589.

    Article  Google Scholar 

  • Pielke, R.A., R.T. McNider, M. Segal, and Y. Mahrer (1983): The use of a mesoscale numerical model for evaluations of pollutant transport and diffusion in coastal regions and over irregular terrain. Bull. Am. Meteor. Soc., 64: 243–249.

    Google Scholar 

  • Pielke, R.A. (1984): Mesoscale Meteorological Modeling. Orlando, Florida: Academic Press.

    Google Scholar 

  • Pielke, R.A. (1988): Status of mesoscale and subregional models. Vol. 2. Aster, Inc., Research Project RP2434–6, Fort Collins, Colorado.

    Google Scholar 

  • Rodriguez, D.J., et al. (1982): User’s guide to the MATHEW/ADPIC models. UASG 82–16, Lawrence Livermore National Laboratory, University of California Atmospheric and Geophysical Sciences Division, Livermore, California.

    Google Scholar 

  • Segal, M., and R.A. Pielke (1981): Numerical model simulation of biometeorological heat load conditions—Summer day case study for the Chesapeake Bay area. J. Appl. Meteor., 20: 735–749.

    Article  Google Scholar 

  • Seigneur, C. (1988): Evaluation of the feasibility of the application of a regional air pollution model to northern California. Second interim report prepared for Pacific Gas and Electric, San Francisco, California.

    Google Scholar 

  • Seinfeld, J.H. (1986): Atmospheric Chemistry and Physics of Air Pollution. New York: John Wiley.

    Google Scholar 

  • Sherman, C.A. (1978): A mass-consistent model for wind fields over complex terrain. J. Appl, Meteor., 17: 312–319.

    Google Scholar 

  • Shir, C.C., and L.J. Shieh (1974): A generalized urban air pollution model and its application to the study of SO2 distributions in the St. Louis metropolitan area. J. Appl. Meteor., 13: 185–204.

    Article  Google Scholar 

  • Tapp, M.C., and P.W. White (1976): A nonhydrostatic mesoscale model. Quarterly J.Roy. Meteor. Soc., 102: 277–296.

    Article  Google Scholar 

  • Tesche, T.W., and M.A. Yocke (1978): Numerical modeling of wind fields over mountainous regions in California. Proceedings, American Meteorological Society Conference on Sierra Nevada Meteorology, South Lake Tahoe, California, June.

    Google Scholar 

  • Tran, K.T., and R.C. Sklarew (1979): User guide to IMPACT: An integrated model for plumes and atmospheric chemistry in complex terrain. Form - Substance, Inc., Westlake Village, California.

    Google Scholar 

  • Yamada, T. (1978): A three—dimensional, second—order closure numerical model of mesoscale circulations in the lower atmosphere. Argonne National Laboratory Document ANL/ RER-78–1. [Available from National Technical Information Service.]

    Google Scholar 

  • Yamada, T. (1985): Numerical simulation of the Night 2 data of the 1980 ASCOT experiments in the California Geysers Area. Arch. for Meteor., Geophys., and Biolim., A34: 223–247.

    Google Scholar 

  • Yamada, T., and S.S. Bunker (1988): Development of a nested grid, second moment turbulence closure model and application to the 1982 ASCOT Brush Creek data simulation. J. Appl. Meteor., 27: 562–578.

    Article  Google Scholar 

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Authors and Affiliations

  1. AeroVironment Inc., Monrovia, California, USA

    Dr Paolo Zannetti

  2. Bergen High Tech Centre, IBM Scientific Centre, Thomohlensgate 55, N-5008, Bergen, Norway

    Dr Paolo Zannetti

Authors
  1. Dr Paolo Zannetti
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© 1990 Springer Science+Business Media New York

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Zannetti, P. (1990). Meteorological Modeling. In: Air Pollution Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4465-1_4

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  • DOI: https://doi.org/10.1007/978-1-4757-4465-1_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-4467-5

  • Online ISBN: 978-1-4757-4465-1

  • eBook Packages: Springer Book Archive

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