Examination of model predictions at different horizontal grid resolutions

Environmental Fluid Mechanics

Volumn 5, Issue 1-2, 2005, Pages 63-85

  Gego, Edith ^a   Hogrefe, Christian ^b   Kallos, George ^c   Voudouri, Antigoni ^c   Irwin, John S ^d   Rao, S Trivikrama ^d  

^a University Corporation for Atmospheric Research   (United States)

^b STATE UNIVERSITY OF NEW YORK   (United States)

^c UNIVERSITY OF ATHENS   (Greece)

^d NOAA Atmospheric Sciences Modeling Division   (United States)

Author keywords

Air quality; Grid resolution; Model evaluation

Indexed keywords

AIR QUALITY; ATMOSPHERIC TEMPERATURE; COMPUTER SIMULATION; MATHEMATICAL MODELS; METEOROLOGY; OZONE;

AIR QUALITY; NUMERICAL MODEL; OZONE; PHOTOCHEMISTRY;

EID: 31344448077     PISSN: 15677419     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10652-005-0486-3     Document Type: Article

References (19)

1. Walko, R.L., Tremback, C.J. and Hertenstein, R.F.A.: 1995, RAMS - The Regional Atmospheric Modeling System, Version 3b, User-s Guide, ASTER Division, Mission Research Corporation, Fort Collins, CO.
2. Grell, G.A., Dudhia, J. and Stauffer, D.: 1994, A Description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5). NCAR Technical Note, NCAR/TN-398 + STR.
3. Systems Applications International: 1995, Users Guide to the Variable Grid Urban Airshed Model (UAM-V), Systems Applications International, San Rafael, CA, 131 pp. [Available from Systems Applications International, 101 Lucas Valley Rd., San Rafael, CA 94903.]
4. ENVIRON: 1997, User's Guide to the Comprehensive Air Quality Model with Extensions (CAMx). Available from ENVIRON International Corporation, 101 Rowland Way, Novato, CA 94945.
5. Byun, D.W. and Ching, J.K.S. (eds.): 1999, Science algorithms of the EPA Models-3 Community Multiscale Air Quality Model (CMAQ) modeling system. EPA/600/R-99/030, U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460.
6. Kunz, R. and Moussiopoulos, N.: 1997, Implementation and assessment of a one-way nesting technique for high resolution wind flow simulations, Atmos. Environ. 31, 3167-3176.
7. Mass, C., Ovens, D., Albright, M. and Westrick, K.: 2002, Does Increasing Horizontal Resolution Produce Better Forecasts? The Results of Two Years of Real-Time Numerical Weather Prediction in the Pacific Northwest, Bull. Amer. Meteorol. Soc. 83, 407-430.
8. Colle, B.A, Olson, J.B. and Tongue, J.S.: 2001, Verification of the Eta and Real-Time MM5 over the Eastern U.S., paper presented at Eleventh PSU/ NCAR MM5 Users' Workshop, Foothills Laboratory, NCAR, Boulder, Colorado, June 25-June 27 2001. (Available at http://www.mmm.ucar.edu/mm5/workshop/ws01/).
9. Geron, C., Guenther, A. and Pierce, T.: 1994, An Improved Model for Estimating Emissions of Volatile Organic Compounds from Forests in the Eastern United States, J. Geophys. Res. 99, 12773-12791.
10. Sistla, G., Hao, W., Ku, J.-Y., Kallos, G., Zhang, K., Mao, H. and Rao, S.T.: 2001, An Operational Evaluation of Two Regional-Scale Ozone Air Quality Modeling Systems over the Eastern United States, Bull. Amer. Meteorol. Soc. 82, 945-964.
11. Biswas, J. and Rao, S.T.: 2001, Uncertainties in Episodic Ozone Modeling Stemming from Uncertainties in the Meteorological Fields. J. Appl. Meteorol. 40, 117-136.
12. Lagouvardos, K., Kallos, G. and Kotroni, V.: 1997a, Modeling and Analysis of Ozone and its Precursors in the Northeast U.S.A. (Atmospheric Model Simulations), Final report to Electric Power Research Institute, Palo Alto, CA, 46 pp. [Available from Office of Science and Technology, NYSDEC, 50 Wolf Rd., Albany, NY 12233-3259.
13. Lagouvardos, K., Kotroni, V., Kallos, G. and Rao, S.T.: 1999, An Analysis of the Meteorological and Air Quality Conditions during an Extreme Ozone Episode over the Northeastern USA, Intern. J. Environ. Poll. 14, 581-587.
14. Willmott, C.J.: 1982, Some Comments on the Evaluation of Model Merformance, Bull. Amer. Meteorol. Soc. 63, 1309-1313.
15. Hanna, S.R.: 1994, Mesoscale Meteorological Model Evaluation Techniques with Emphasis on Needs of Air Quality Models. In: R.A. Pielke and R.P. Pearce (eds.), Mesoscale Modeling of the Atmosphere, pp. 47-58, Meteorological monographs 25, American Meteorological Society, 45 Beacon Str., Boston, MA 02108.
16. Olerud, D. and Wheeler, N.: 1997, Investigation of the Regional Atmospheric Modeling System (RAMS) for the Ozone Transport Assessment Group (OTAG), Report to the Southeast Modeling Center, MCNC Environmental Programs, Research Triangle Park, NC 27709.
17. McNally, D. and Tesche, T.W.: 1993, MAPS Sample Products, Alpine Geophysics, 16225 W. 74th Dr., Golden, CO 80403.
18. American Society for Testing and Materials D 6589: 2000, tandard Guide for Statistical Evaluation of Atmospheric Dispersion Model Performance (D 6589) (available at http://www.astm.org), 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428, 17 p.
19. Sistla, G., Zhow, N., Hao, W., Ku, J.-Y., Rao, S.T., Bornstein, R., Freedman, F. and Thunis, P.: 1996, Effects of Uncertainties in Meteorological Inputs on Urban Airshed Model Predictions and Ozone Control Strategies, Atmos. Environ. 30, 2011-2025.