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1. Code of Federal Regulations, Title 40 (Protection of the Environment) Appendix W to Part 51 - Guideline on Air Quality Models.

2. EPA, 1995. Quality assurance handbook for air pollution measurement systems. Vol. IV, Meteorological Measurements. EPA/600/R-94/038d, U.S. Environmental Protection Agency, Research Triangle Park, NC.

3. Hoffnagle, G.F., M.E. Smith, T.V. Crawford, and T.J. Lockhart, 1981. On-Site Meteorological Instrumentation Requirements to Characterize Diffusion from Point Sources -A Workshop, 15-17 January 1980, Raleigh, NC. Bull Amer. Meteor. Soc., Vol.62, No. 2, pp255-261.

4. ANS, 1984. Standard for Determining Meteorological Information at Nuclear Power Sites. ANSI/ANS-2.5-1984. American Nuclear Society, La Grange Park, IL.

5. Mason, C. J. and H. Moses, 1984. Meteorological Instrumentation. In: Atmospheric Science and Power Production, D. Randerson (ed.). DOE/TIC27601. U. S. Department of Energy, Oak Ridge, TN.

6. HMSO, 1956. Handbook of Meteorological Instruments, Part I. Great Britain Meteorological Office, Her Majesty's Stationery Office, London, England

7. Middleton, W. E. K. and A. F. Spilhaus, 1953. Meteorological Instruments, 3rd ed. University of Toronto Press, Toronto, Canada.

8. Wang, J. Y. and C. M. M. Felton, 1983. Instruments for Physical Environmental Measurements, 2nd ed. Kendall/Hunt Publishing Company, Dubuque, IA.

9. WMO, 1983. Guide to Meteorological Instruments and Methods of Observation (Fifth Edition) WMO No. 8., Secretariat of the World Meteorological Organization, Geneva, Switzerland.

10. Nappo, C. J. et al, 1982. The Workshop on the Representativeness of Meteorological Observations, June 1981, Boulder, CO. Bull. Amer. Meteor. Soc., Vol. 63, No. 7, pp.761-764. American Meteorological Society, Boston, MA.

11. Stauffer, D.R. and Seaman, N.L., 1990. Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I: Experiments with synoptic-scale data. Monthly Weather Review, 118: 1250-1277.

12. Stauffer, D.R., Seaman, N.L., and Binkowski, F.S., 1991. Use of four-dimensional data assimilation in a limited-area mesoscale model. Part II: Effect of data assimilation within the planetary boundary layer. Monthly Weather Review, 119: 734-754.

13. EPA, 1985. Guideline for Determination of Good Engineering Practice Stack Height (Technical Support Document for the Stack Height Regulations) - Revised. EPA 450/4- 80-023R. U. S. Environmental Protection Agency, Research Triangle Park, NC.

14. Hanna, S. R., G. A. Briggs, and R. P. Hosker, 1982. Handbook on Atmospheric Diffusion. DOE/TIC-11223. U. S. Department of Energy, Oak Ridge, TN.

15. DOC, 1972. National Weather Service Observing Handbook No.2, Substation Observations. U.S. Department of Commerce, Environmental Science Services, Office of Meteorological Operations, Silver Springs, MD.

16. Raynor, G. S, P. Michael, and S. SethuRaman, 1979. Recommendations for Meteorological Measurement Programs and Atmospheric Diffusion Prediction Methods for Use at Coastal Nuclear Reactor Sites. NUREG/CR-0936. U.S. Nuclear Regulatory Commission, Washington, DC.

17. Brooks, C. E. P. and N. Carruthers, 1953. Handbook of Statistical Methods in Meteorology, M.O.538. Her Majesty's Stationery Office, London, England.

18. Mazzarella, D. A., 1972. An Inventory of Specifications for Wind Measuring Instruments. Bull. Amer. Meteor. Soc., Vol. 53, No. 9. pp.860-871, American Meteorological Society, Boston, MA

19. Gill, G. C., 1967. On the Dynamic Response of Meteorological Sensors and Recorders. Proceedings of the First Canadian Conference on Micro meteorology, Part I, Meteorological Service of Canada, Toronto, Canada.

20. American Society for Testing and Materials, 1985. Standard Method for Measuring Surface Wind by Means of Wind Vanes and Rotating Anemometers. ASTM D4480-85, American Society for Testing and Materials, Philadelphia, PA.

21. Mazzarella, D. A., 1978. Meteorological Instruments for Use Near the Ground: Their Selection and Use in Air Pollution Studies. In: Air Quality Meteorology and Atmospheric Ozone, Morris and Barris (eds.), American Society for Testing and Materials, Philadelphia, PA.

22. Snow, J. T., 1985. Meeting of ASTM Subcommittee D-22.1l: Meteorology. Bull. Amer. Meteor.. Soc., Vol. 66, No. ll, p.1432, American Meteorological Society, Boston, MA.

23. Mori, Y., 1986. Evaluation of Several Single-Pass Estimators of the Mean and the Standard Deviation of Wind Direction. J Climate Appl. Metro., 25, 1387-1397.

24. Mardia, K. V., 1972. Statistics of Directional Data. Academic Press, New York, NY.

25. Turner, D. B., 1986. Comparison of Three Methods for Calculating the Standard Deviation of the Wind Direction. J. Climate Appl. Meteor., Vol. 25, pp 703-707.

26. Yamartino, R. J., 1984. A Comparison of Several "Single-pass" Estimators of the Standard Deviation of Wind Direction. J. Climate Appl. Meteor., Vol. 23, pp.1362-l366.

27. Scire, J.S., D.G. Strimaitis, and R.J. Yamartino, 1990. Model formulation and user's guide for the CALPUFF dispersion model. Sigma Research Corp., Concord, MA.

28. Scire, J.S., E.M. Insley, and R.J. Yamartino, 1990. Model formulation and user's guide for the CALMET meteorological model. Sigma Research Corp., Concord, MA.

29. EPA, 1984. Calms Processor (CALMPRO) User's Guide. EPA-901/9-84-001. U. S. Environmental Protection Agency, Region I, Boston, MA.

30. Weber, A., J. S. Irwin, J. P. Kahler, and W. B. Petersen, 1975. Atmospheric Turbulence Properties in the Lowest 300 Meters. EPA 600/4-75-004. Environmental Protection Agency, Research Triangle, Park, NC.

31. Deihl, B. J., 1984. Vertical Wind Direction Standard Deviation ( __); Variation With Height and Comparison of Measurement Systems. Public Service Company of New Mexico, Albuquerque, NM.

32. Irwin, J.S., 1979. A Theoretical Variation of the Wind Profile Power Law Exponent as a Function of Surface Roughness and Stability. Atmos. Env., Vol. 13, pp. 191-194

33. Pasquill, F., 1961. The estimation of the dispersion of windborne material, Meteorol. Mag., Vol. 90, pp. 33-49.

34. Turner, D.B., 1964. A diffusion model for an urban area. J. Appl. Meteor., Vol. 3. pp. 83-91.

35. Irwin, J.S., 1980. Dispersion estimate suggestion No. 8. U.S. Environmental Protection Agency, Research Triangle Park, NC.

36. List, R. J. 1966. Smithsonian Meteorological Tables, Sixth Revised Edition (Third Reprint). Smithsonian Institution, Washington, D. C.

37. Bowen, B.M., J.M. Dewart, and A.I. Chen, 1983. Stability Class Determination: A Comparison for one site. Proceedings Sixth Symposium on Turbulence and Diffusion, American Meteorological Society, Boston, MA, pp. 211-214.

38. EPA, 1994. An Evaluation of a Solar Radiation Delta-T Method for Estimating Pasquill- Gifford (P-G) Stability Categories, EPA-454/R-93-055, U.S. Environmental Protection Agency, Research Triangle Park, NC.

39. Mitchell, Jr. A.E. and K.O. Timbre, 1979. Atmospheric Stability Class from Horizontal Wind Fluctuation. Presented at 72nd Annual Meeting of Air Pollution Control Association, Cincinnati, OH; June 24-29, 1979. (Docket No. A-80-46, II-P-9).

40. NRC, 1972. Meteorological Programs in Support of Nuclear Power Plants. Regulatory Guide 1.23, U.S. Nuclear Regulatory Commission, Office of Standards Development, Washington, DC. (Docket No. A-80-46, II-P-11).

41. Hogstrom, A. and V. Hogstrom, 1978. A Practical Method for Determining Wind Frequency Distributions for the Lowest 200 m from Routine Meteorological Data. Journal of Applied Meteorology, 17(7):942-954.

42. Smith T.B. and S.M. Howard, 1972. Methodology for Treating Diffusivity. MRI 72 FR- 1030. Meteorology Research Inc., Altadena, CA. (Docket No. A-80-46, II-P-8).

43. Beyrich, F. 1997. Mixing height estimation from sodar data--a critical discussion. Atmos. Environ., 31, 3941-3953.

44. Holzworth, G. C. 1972. Mixing Heights, Wind Speeds, and Potential for Urban Air Pollution Throughout the Contiguous United States. AP-101. U.S. Environmental Protection Agency, Research Triangle Park, NC.

45. Weil, J.C., and Brower, R.P., 1983. Estimating convective boundary layer parameters for diffusion applications. Environmental Center, Martin Marietta Corp. PPSP-MP-48, Baltimore, Maryland, 45pp.

46. Paine, R.J., 1987. User's Guide to the CTDM Meteorological Preprocessor (METPRO) Program, U.S. Environmental Protection Agency EPA/600/8-88/004 (NTIS 8-162102), RTP, NC, 160pp.

47. EPA, 1985. User's Guide for the Industrial Source Complex (ISC3) Dispersion Models, Volume II Description of Model Algorithms. EPA-454/B-95-003b. U.S. Environmental Protection Agency, Research Triangle Park, NC.

48. Golder, D., 1972. Relations among stability parameters in the surface layer. Boundary Layer Meteor., 3, 47-58.

49. Nieuwstadt, R. T. M., 1978. The computation of the friction velocity u* and the temperature scale T* from temperature and wind velocity profiles by least-square methods. Bound.-Layer Meteorol., Vol. 14, pp.235-246.

50. Wang, I.T., 1981. The determination of surface-layer stability and eddy fluxes using wind speed and vertical temperature gradient measurements. J. Appl. Met. 20, 1241- 1248.

51. Irwin, J. S. and F. S. Binkowski, 1981. Estimation of the Monin-Obukhov scaling length using on-site instrumentation. Atmos. Environ., Vol. 15, pp.1091-1094. (Erratum, 1982, Atmos. Environ., 16, 887).

52. Berkowicz, R. And L.P. Prahm, 1982. Evaluation of the profile method for estimation of the surface fluxes of momentum and heat. Atmospheric Environment, 16, 2809-2819.

53. Holtslag A.A.M. and A.P. van Ulden, 1983: A simple scheme for daytime estimates of the surface fluxes from routine weather data. J. Clim. and Appl. Meteor., 22, 517-529.

54. Holtslag, A. A. M., 1984. Estimates of diabatic wind speed profiles from near surface weather observations. Bound-Layer Meteor., Vol. 29, pp.225-250.

55. Van Ulden, A.P., and A.A.M. Holtslag, 1985. Estimation of atmospheric boundary layer parameters for diffusion applications. J. Clim. And Appl. Meteor., 24, 1196-1207.

56. Holtslag, A.A.M. and F.T.M. Nieuwstadt, 1986. Scaling the atmospheric boundary layer. Bound-Layer Meteor., 36, 201-209.

57. Gryning, S.E., A.A.M. Holtslag, J.S. Irwin, and B. Sivertsen, 1987. Applied dispersion modeling based on meteorological scaling parameters. Atmospheric Environment, 21, 79-89.

58. Byun, W.B., 1990. On the analytical solution of flux-profile relationships for the atmospheric surface layer. J. Appl. Meteor., 29(7): 652-657.

59. Irwin, J.S., and J.O. Paumier, 1990. Characterizing the dispersive state of convective boundary layers for applied dispersion modeling. Bound-Layer Meteor., 53, 267-296.

60. Wieringa, J., 1993. Representative roughness parameters for homogeneous terrain. Bound-Layer Meteor., 63, 323-363.

61. Irwin, J.S., T.M. Asbury and W.B. Petersen (1986): Description of the Savanna River Laboratory meteorological data base for 1975 to 1979. EPA/600/3-86-017. Atmospheric Sciences Research Laboratory, RPT, NC, 121 pp. (NTIS Accession Number PB 86- 166287).

62. NWS, 1995. Federal Meteorological Handbook No. 1 (FMH-1) Surface Weather Observations and Reports, fifth edition, Washington, D.C.

63. Lockhart, T. J., 1985. Quality Assurance of Meteorological Measurements. In: Quality Assurance for Environmental Measurements, ASTM STP 867. J. K. Taylor and T. W. Stanley (eds). American Society for Testing and Materials, Philadelphia, PA.

64. Weiss, L. L., 1961. Relative Catches of Snow in Shielded and Unshielded Gauges at Different Wind Speeds. Monthly Weather Review, Vol. 89.

65. EPA 1994. Quality assurance handbook for air pollution measurement systems. Vol. I, a field guide to environmental quality assurance. U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, EPA-600/R-94/038a.

66. Mueller P.K. and Watson J.G. (1982) Eastern regional air quality measurements. Vol. 1, Section 7. Report prepared by Electric Power Research Institute, Palo Alto, CA, Report No. EA-1914.

67. Watson J.G., Lioy P.J., and Mueller P.K. (1989) The measurement process: precision, accuracy, and validity. In Air Sampling Instruments for Evaluation of Atmospheric Contaminants, 7th Edition, Hering S.V., ed., American Conference of Governmental Industrial Hygienists, Cincinnati, OH, pp. 51-57.

68. Atkinson B.W. 1981. Meso-Scale Atmospheric Circulations. Academic Press, Inc., London.

69. Stull R.B. 1988. An Introduction to Boundary Layer Meteorology. Kluwer Academic Publishers, Norwell, MA, 666 pp.

70. Neff, W.D. 1998. Advances in meteorological measurement methods for application to air quality research and monitoring. Atmos. Environ., submitted.

71. Dye T.S., C.G. Lindsey, and J.A. Anderson. 1995. Estimates of mixing depths from "boundary layer" radar profilers. In Preprints of the 9th Symposium on Meteorological Observations and Instrumentation, Charlotte, NC, March 27-31, Amer. Meteor. Soc., 156-160.

72. Gaynor, J.E. 1994. Accuracy of sodar wind variance measurements. Int. J. Remote Sens., 15, 313-324.

73. van de Kamp D.W. 1988. Profiler training manual #2: quality control of wind profiler data. Report prepared for the National Weather Service Office of Meteorology by NOAA/WPL, Boulder, CO.

74. Ecklund W.L., Carter D.A., and Balsley B.B. 1987. A UHF wind profiler for the boundary layer: brief description and initial results. J. Atmos. Ocean. Technol., 5, 432- 441.

75. Hooper A.H. 1975. Upper-air sounding studies. Vol. 1: studies on radiosonde performance. World Meteorological Organization, Tech. Note No. 140, WMO No. 394, 109 pp.

76. Yako, S., W. Yagihashi, and S. Chubachi. 1977. Comparison of temperature, humidity, and wind data between conventional rawinsonde and tethered balloon. J. Meteor. Res., 29, 153-157.

77. Hoehne W.E. 1980. Precision of National Weather Service upper air measurements. Technical memo prepared by Office of Systems Development, Test and Evaluation Division, National Oceanic and Atmospheric Administration, Sterling, VA, NOAA No. NWS T&ED-016, 23 pp.

78. Richner, H., and P.D. Phillips. 1981. Reproducibility of VIZ radiosonde data and some sources of error. J. Appl. Meteor., 20, 954-963.

79. Finger F.G. and Schmidlin F.J. 1991. Upper-air measurements and instrumentation workshop. Bull. Am. Meteorol. Soc., 72, 50-55.

80. Wade, C.G. 1994. An evaluation of problems affecting the measurement of low relative humidity on the United States radiosonde. J. Atmos. Oceanic Technol., 11, 687-700.

81. Connell B.H. and Miller D.R. 1995. An interpretation of radiosonde errors in the atmospheric boundary layer. J. Appl. Meteorol., 34, 1070-1081.

82. Finkelstein, P. L., J. C. Kaimal, J. E. Gaynor, M. E. Graves, and T. J. Lockhart. 1986. Comparison of wind monitoring systems. Part II: Doppler sodars. J. Atmos. Oceanic Technol., 3, 594-604.

83. Chintawongvanich, P., R. Olsen, and C.A. Biltoft. 1989. Intercomparison of wind measurements from two acoustic Doppler sodars, a laser Doppler lidar, and in situ sensors. J. Atmos. Oceanic Technol., 6, 785-797.

84. Gaynor, J.E., C.B. Baker, and J.C. Kaimal. 1990. The international sodar intercomparison experiment. Proc., 5th International Symposium on Acoustic Remote Sensing, New Delhi, India, Int. Soc. Acoust. Remote Sens., 67-74.

85. Gaynor, J.E., C.B. Baker, and B. Templeman. 1991. Fine time-scale comparisons between Doppler sodar and sonic anemometer-derived winds. Preprint, Seventh Symposium on Meteorological Observations and Instrumentation, New Orleans, LA, Amer. Meteor. Soc., 401-404.

86. Thomas, P., and S. Vogt. 1993. Intercomparison of turbulence data measured by sodar and sonic anemometers. Bound.-Layer Meteor., 62, 353-359.

87. Kurzeja, R.J. 1994. Comparison of a Doppler sodar with bivanes and cup anemometers. J. Atmos. Oceanic Technol., 11, 192-199.

88. Crescenti, G.H. 1997. A look back on two decades of Doppler sodar comparison studies: a review. Bull. Amer. Meteor. Soc., 78, 651-673.

89. Gage, K.S., J.R. McAfee, W.G. Collins, D. Söderman, H. Böttger, A. Radford, and B. Balsley. 1988. A comparison of winds observed at Christmas Island using a windprofiling Doppler radar with NMC and ECMWF analyses. Bull. Amer. Meteor. Soc., 69, 1041-1046.

90. Weber, B.L., and D.B. Wuertz. 1990. Comparison of rawinsonde and wind profiler radar measurements. J. Atmos. Oceanic Technol., 7, 157-174.

91. Angevine, W.M., and J.I. MacPherson. 1995. Comparison of wind profiler and aircraft wind measurements at Chebogue Point, Nova Scotia. J. Atmos. Oceanic Technol., 12, 421-426.

92. Dobos, P.H., R.J. Lind, and R.L. Elsberry. 1995. Surface wind comparisons with radar wind profiler observations near tropical cyclones. Wea. Forecasting, 10, 564-575.

93. Schroeder, J.A. 1990. A comparison of temperature soundings obtained from simultaneous radiometric, radio-acoustic, and rawinsonde measurements. J. Atmos. Oceanic Technol., 7, 495-503.

94. Schroeder, J.A., E.R. Westwater, P.T. May, and L.M. McMillin. 1991. Prospects for temperature sounding with satellite and ground-based RASS measurements. J. Atmos. Oceanic Technol., 8, 506-513.

95. Martner, B.E., D.B. Wuertz, B.B. Stankov, R.G. Strauch, E.R. Westwater, K.S. Gage, W.L. Ecklund, C.L. Martin, and W.F. Dabberdt. 1993. An evaluation of wind profiler, RASS, and microwave radiometer performance. Bull. Amer. Meteor. Soc., 74, 599-613.

96. Engelbart, D., H. Steinhagen, U. Gorsdorf, J. Lippmann, and J. Neisser. 1995. A 1290 MHZ profiler with RASS for monitoring wind and temperature in the boundary layer. Contributions to Atmospheric Physics, 69, 63-80.

97. Congeduti, F., G. Fiocco, A. Adriani, and C. Guarrella. 1981. Vertical wind velocity measurements by a Doppler lidar and comparisons with a Doppler sodar. Appl. Opt., 20, 2048-2054.

98. Devara, P.C.S., P.E. Raj, B.S. Murthy, G. Pandithurai, S. Sharma, and K.G. Vernekar. 1995. Intercomparison of nocturnal lower-atmospheric structure observed with lidar and sodar techniques at Pune, India. J. Appl. Meteor., 34, 1375-1383.

99. Casadio, S., A. Di Sarra, G. Fiocco, D. Fuā, F. Lena, and M.P. Rao. 1996. Convective characteristics of the nocturnal urban boundary layer as observed with Doppler sodar and Raman lidar. Bound.-Layer Meteor., 79, 375-391.

100. ASTM, 1984. Standard practice for determining the operational comparability of meteorological measurements., American Society for Testing and Materials, Philadelphia, PA, No. D 4430-84.

101. Thuillier, R.H. 1995. The influence of instrumentation, siting, exposure height, and temporal averaging methodology on meteorological measurements from SJVAQS/AUSPEX. J. Appl. Meteor., 34, 1815-1823.

102. Crescenti, G. H. 1998. The degradation of Doppler sodar performance due to noise: a review. Atmos. Environ., 32, 1499-1509.

103. Crescenti, G.H., and R.A. Baxter. 1998. Examples of noise interference on Doppler sodar performance. Preprint, Tenth Symposium on Meteorological Observations and Instrumentation, Phoenix, AZ, Jan. 11-16, Amer. Meteor. Soc., 228-232.

104. Baxter R.A. 1994. Development of a universal acoustic pulse transponding system for performance auditing of sodars. In Proceedings from the 7th International Symposium on Acoustic Remote Sensing and Associated Techniques of the Atmosphere and Oceans, Boulder, CO, October, pp. 3-35-3-40.

105. Wilczak, J.M., R.G. Strauch, F.M. Ralph, B.L. Weber, D.A. Merritt, J.R. Jordan, D.E. Wolfe, L.K. Lewis, D.B. Wuertz, J.E. Gaynor, S.A. McLaughlin, R.R. Rogers, A.C. Riddle, and T.S. Dye. 1995. Contamination of wind profiler data by migrating birds: characteristics of corrupted data and potential solutions. J. Atmos. Oceanic Technol., 12, 449-467.

106. Gauthreaux Jr., S.A. (1991) The flight behavior of migrating birds in changing wind fields: radar and visual analyses. Amer. Zool., 31, 187-204.

107. Brewster, K.A. 1989. Profiler training manual #2: quality control of wind profiler data. Report prepared for Office of Meteorology, National Weather Service by NOAA/ERL/FSL, Boulder, CO, August.

108. Gaynor, J.E. 1994. Siting guidance for boundary layer meteorological profiles. Proceedings, International Symposium on the Measurement of Toxic and Related Pollutants, Durham, NC, May 3-6, AWMA, 263-269.

109. Miller P.A., T.W. Schlatter, D.W. van de Kamp, M.F. Barth, and B.L Weber. 1994. An unfolding algorithm for profiler winds. J. Atmos. Ocean. Technol. 11, 32-41.

110. Riddle A.C., W.M. Angevine, W.L. Ecklund, E.R. Miller, D.B. Parsons, D.A. Carter, and K.S. Gage. 1995. Wind-profiler performance and balloon observations compared at ISS sites during TOGA COARE. Contrib. Atmos. Phy., (accepted for publication).

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