A combined local and nonlocal closure model for the atmospheric boundary layer. Part II: Application and evaluation in a mesoscale meteorological model

Journal of Applied Meteorology and Climatology

Volumn 46, Issue 9, 2007, Pages 1396-1409

  Pleim, Jonathan E ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; BOUNDARY LAYERS; HEAT CONVECTION; LARGE EDDY SIMULATION; MATHEMATICAL MODELS; ONE DIMENSIONAL;

ASYMMETRIC CONVECTIVE MODEL; ATMOSPHERIC BOUNDARY LAYER MODEL; METEOROLOGICAL MEASUREMENTS;

AERODYNAMICS;

AIR QUALITY; ATMOSPHERIC MODELING; BOUNDARY LAYER; LARGE EDDY SIMULATION; MESOSCALE METEOROLOGY; VERTICAL MIXING; WIND PROFILE;

EID: 35548981299     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/JAM2534.1     Document Type: Article

References (38)

1. Abraczinskas, M. A., D. T. Olerud, and A. P. Sims, 2004: Characterizing annual meteorological modeling performance for visibility improvement strategy modeling in the southeastern U.S. Preprints, 13th Conf. on the Applications of Air Pollution Meteorology with the Air and Waste Management Association, Vancouver, BC, Canada, Amer. Meteor. Soc., CD-ROM, 5.1.
2. Angevine, W. M., A. B. White, and S. K. Avery, 1994: Boundary layer depth and entrainment zone characterization with a boundary layer profiler. Bound.-Layer Meteor., 68, 375-385.
3. Baker, K., M. Johnson, S. King, and W. Ji, 2005: Meteorological modeling performance summary for application to PM2.5/haze/ozone modeling projects. Lake Michigan Air Directors Consortium, Midwest Regional Planning Organization, Des Plaines, IL, 72 pp. [Available online at http://www.ladco.org/tech/photo/docs/MM5_MPE_feb2005_binder.pdf.]
4. Berg, L. K., and S. Zhong, 2005: Sensitivity of MM5-simulated boundary layer characteristics to turbulence parameterizations. J. Appl. Meteor., 44, 1467-1483.
5. Bianco, L., and J. M. Wilczak, 2002: Convective boundary layer depth: Improved measurement by Doppler radar wind profiler using fuzzy logic methods. J. Atmos. Oceanic Technol., 19, 1745-1758.
6. Blackadar, A. K., 1978: Modeling pollutant transfer during day-time convection. Preprints, Fourth Symp. on Atmospheric Turbulence, Diffusion, and Air Quality, Reno, NV, Amer. Meteor. Soc., 443-447.
7. Braun, S. A., and W.-K. Tao, 2000: Sensitivity of high-resolution simulations of Hurricane Bob (1991) to planetary boundary layer parameterizations. Mon. Wea. Rev., 128, 3941-3961.
8. Bright, D. R., and S. L. Mullen, 2002: The sensitivity of the numerical simulation of the southwest monsoon boundary layer to the choice of PBL turbulence parameterization in MM5. Wea. Forecasting, 17, 99-114.
9. Burke, S. D., and W. T. Thompson, 1989: A vertically nested regional numerical weather prediction model with second-order closure physics. Mon. Wea. Rev., 117, 2305-2324.
10. Dennis, R., S. Roselle, R. Gilliam, and J. Arnold, 2007: High time-resolved comparisons for in-depth probing of CMAQ fine particle and gas predictions. Air Pollution Modeling and Its Applications, XVII, C. Borrego and A.-L. Norman, Eds., Springer, 515-524.
11. Durran, D. R., and J. B. Klemp, 1982: The effects of moisture on trapped mountain lee waves. J. Atmos. Sci., 39, 2152-2158.
12. Dyer, A. J., 1974: A review of flux-profile relationships. Bound-Layer Meteor., 7, 363-372.
13. Gilliam, R. C., C. Hogrefe, and S. T. Rao, 2006: New methods for evaluating meteorological models used in air quality applications. Atmos. Environ., 40, 5073-5086.
14. Grell, G. A., J. Dudhia, and D. Stauffer, 1994: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note TN-398 + STR, 138 pp.
15. Holtslag, A. A. M., and B. A. Boville, 1993: Local versus nonlocal boundary layer diffusion in a global climate model. J. Climate, 6, 1825-1842.
16. Hong, S. Y., and H. L. Pan, 1996: Nonlocal boundary layer vertical diffusion in a Medium-Range Forecast model. Mon. Wea. Rev., 124, 2322-2339.
17. Janjić, Z. I., 1994: The step-mountain Eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 928-945.
18. Kain, J. S., 2004: The Kain-Fritsch convective parameterization: An update. J. Appl. Meteor., 43, 170-181.
19. Liu, M., and J. J. Carroll, 1996: A high-resolution air pollution model suitable for dispersion studies in complex terrain. Mon. Wea. Rev., 124, 2396-2409.
20. Mass, C. F., and Coauthors, 2003: Regional environmental prediction over the Pacific Northwest. Bull. Amer. Meteor. Soc., 84, 1353-1366.
21. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, 1997: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res., 102, 16 663-16 682.
22. Noh, Y., W. G. Cheon, S. Y. Hong, and S. Raasch, 2003: Improvement of the K-profile model for the planetary boundary layer based on large eddy simulation data. Bound.-Layer Meteor., 107, 401-427.
23. Pino, D., J. Villà-Guerau de Arellano, and P. G. Duynkerke, 2003: The contribution of shear to the evolution of a convective boundary layer. J. Atmos. Sci., 60, 1913-1926.
24. Pleim, J. E., 2007: A combined local and nonlocal closure model for the atmospheric boundary layer. Part I: Model description and testing. J. Appl. Meteor. Climatol., 46, 1383-1395.
25. Pleim, J. E., and J. S. Chang, 1992: A non-local closure model for vertical mixing in the convective boundary layer. Atmos. Environ., 26A, 965-981.
26. Pleim, J. E., and A. Xiu, 1995: Development and testing of a surface flux and planetary boundary layer model for application in mesoscale models. J. Appl. Meteor., 34, 16-32.
27. Pleim, J. E., and A. Xiu, 2003: Development of a land surface model. Part II: Data assimilation. J. Appl. Meteor., 42, 1811-1822.
28. Reisner, J., R. M. Rasmussen, and R. T. Bruintjes, 1998: Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model. Quart. J. Roy. Meteor. Soc., 124B, 1071-1107.
29. Shafran, P. C., N. L. Seaman, and G. A. Gayno, 2000: Evaluation of numerical predictions of boundary layer structure during the Lake Michigan Ozone Study. J. Appl. Meteor., 39, 412-426.
30. Steeneveld, G. J., B. J. H. van de Wiel, and A. A. M. Holtslag, 2006: Modeling the evolution of the atmospheric boundary layer coupled to the land surface for three contrasting nights in CASES-99. J. Atmos. Sci., 63, 920-935.
31. Stull, R. B., 1984: Transilient turbulence theory. Part I: The concept of eddy mixing across finite distances. J. Atmos. Sci., 41, 3351-3367.
32. Troen, I., and L. Mahrt, 1986: A simple model of the atmospheric boundary layer: Sensitivity to surface evaporation. Bound.-Layer Meteor., 37, 129-148.
33. Vila-Guerau de Arellano, J., O. S. Vellinga, A. A. M. Holtslag, F. C. Bosveld, and H. Klein Baltink, 2001: Observational evaluation of PBL parameterizations modeled by MM5. Preprints, 11th PSU/NCAR MM5 Users' Workshop, Boulder, CO, NCAR, 102-106.
34. Wilks, D. S., 1995: Statistical Methods in the Atmospheric Sciences. Academic, 467 pp.
35. Wisse, J. S. P., and J. V. G. de Arellano, 2004: Analysis of the role of the planetary boundary layer schemes during a severe convective storm. Ann. Geophys., 22, 1861-1874.
36. Xiu, A., and J. E. Pleim, 2001: Development of a land surface model. Part I: Application in a mesoscale meteorological model. J. Appl. Meteor., 40, 192-209.
37. Zhang, D. L., and W. Z. Zheng, 2004: Diurnal cycles of surface winds and temperatures as simulated by five boundary layer parameterizations. J. Appl. Meteor., 43, 157-169.
38. Zhong, S., H.-J. In, X. Bian, J. Charney, W. Heilman, and B. Potter, 2005: Evaluation of real-time high-resolution MM5 predictions over the Great Lakes region. Wea. Forecasting, 20, 63-81.