Mesoscale modeling as a tool for wind resource assessment and mapping

Bulletin of the American Meteorological Society

Volumn , Issue , 2004, Pages 4901-4907

  Brower, Michael ^a   Zack, J W ^a   Bailey, B ^a   Schwartz, M N ^a   Elliott, D L ^b  

^a TrueWind Solutions   (United States)

^b National Renewable Eneryy Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MESOSCALE ATMOSPHERIC SIMULATION MODEL (MASS); MESOSCALE SIMULATION; SPATIAL RESOLUTION; TURBULENT KINETIC ENERGY (TKE); WIND INDUSTRY;

BOUNDARY CONDITIONS; BOUNDARY LAYERS; COMPUTER SIMULATION; DISTRIBUTED COMPUTER SYSTEMS; ERROR ANALYSIS; EXTRAPOLATION; KINETIC ENERGY; MATHEMATICAL MODELS; METEOROLOGY; STATISTICS; SURFACE ROUGHNESS; WEATHER FORECASTING; WEIBULL DISTRIBUTION; WIND TURBINES;

WIND POWER;

EID: 2442621153     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (16)

1. Bowen, A.J. and N.G. Mortensen, 1996: Exploring the limits of WAsP: the Wind Atlas Analysis and Application Program. Proceedings of the 1996 European Union Wind Energy Conference and Exhibition, Göteborg, Sweden, May 20-24, 584-587.
2. Brower, M.C., 1999: Validation of the WindMap Model and Development of MesoMap, Proc. of Windpower 1999, American Wind Energy Association, Washington, DC.
3. Brower, M.C., B. Bailey, and J. Zack, 2001: Applications and Validations of the MesoMap System in Different Climatic Regimes, Proc. of Windpower 2001, American Wind Energy Association, Washington, DC.
4. Brown, J.F., Loveland, T.R., Ohlen, D.O., Zhu, Z., 1999: The Global Land-Cover Characteristics Database: The Users' Perspective. Photogrammetric Engineering and Remote Sensing, v. 65, no. 9, p. 1,069-1,074.
5. Defries, R.S. and Los, S.O., 1999: Implications of Land-Cover Misclassification for Parameter Estimates in Global Land-Surface Models. Photogrammetric Engineering and Remote Sensing, v. 65, no. 9, pp. 1083-1088.
6. Frank, H. P., O. Rathmann, N. G. Mortensen, and L. Landberg, 2001: The Numerical Wind Atlas - the KAMM/WAsP Method. Risoe National Laboratory, Denmark.
7. Fuller R M and N J. Brown, 1994: A CORINE map of Great Britain by automated means: a feasibility study. Institute of Terrestrial Ecology, Report to the Department of the Environment, Department of the Environment, UK, London.
8. Garrat, J. R., 1992: The Atmospheric Boundary Layer. London: Cambridge University Press, p. 290.
9. Hodges, J. C. F., M. A. Friedl, and A. H. Strahler, 2001: The MODIS Global Land Cover Product: New Data Sets for Global Land Surface Parameterization. Proc. of the Global Change Open Science Conference, Amsterdam, 2001.
10. Jackson, P.S. and J.C.R. Hunt, 1975: Turbulent wind flow over a low hill. Quart. J. Roy. Met. Soc. 101, 929-955.
11. Manobianco, J., J. W. Zack and G.E. Taylor, 1996: Workstation-based real-time mesoscale modeling designed for weather support to operations at the Kennedy Space Center and Cape Canaveral Air Station. Bull. Amer. Meteor. Soc., 77, 653-672. Embedded equations are described in Zack, J., et al., 1995: MASS Version 5.6 Reference Manual. MESO, Inc., Troy, NY.
12. Schwartz, M.N., 1999: Wind resource estimation and mapping at the National Renewable Energy Laboratory. NREL/CP-500-26245. Golden, CO: NREL.
13. Schwartz, M.N., and D. Elliott, 2001: Remapping of the wind energy resource in the Midwestern United States. NREL/AB-500-3103. Golden, CO: NREL.
14. Sherman, C.A., 1978: A Mass-Consistent Model for Wind Fields over Complex Terrain, J. Applied Meteorology, 98, 875-883.
15. Vogelmann, J.E., T. Sohl, P.V. Campbell, and D.M. Shaw, 1998: Regional land cover characterization using Landsat Thematic Mapper data and ancillary data sources. Environmental Monitoring and Assessment 51: 415-428.
16. Walmsley, J.L., I. Troen, D.P. Lalas and P.J. Mason, 1990: Surface-layer flow in complex terrain: Comparison of models and full-scale observations. Boundary Layer Meteorology, 52, 259-281.