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Techniques for Measuring Atmospheric Turbulence

  • J. R. Connell

Abstract

In many respects measurement of atmospheric turbulence is similar to measurement of turbulence in a wind tunnel. Differences between tunnel and the atmosphere permit and often require unique instrumentation and techniques. A few of the factors unique for atmospheric turbulence are listed in Table 12.1.

Keywords

Wind Speed Planetary Boundary Layer Atmospheric Turbulence Valley Floor Cloud Base 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Lilly, D. K., and Lenschow, D. H., Aircraft measurements of the atmospheric mesoscales using an inertial reference system, Facilities for Atmospheric Research, 19, National Center for Atmospheric Research, Boulder, Colorado (1971), pp. 2–8.Google Scholar
  2. 2.
    Starr, V., Physics of Negative Viscosity Phenomena, McGraw-Hill Book Company, New York (1968).Google Scholar
  3. 3.
    Gill, G. €., and Hexter, P. L., Some instrumentation definition for use by meteorologists and engineers, Bull. Am. Meteorol. Soc. 53, 846–851 (1972).CrossRefGoogle Scholar
  4. 4.
    Mazzarella, D. A., An inventory of specifications for wind measuring instruments, Bull. Am. Meteorol. Soc. 53, 860–871 (1972).CrossRefGoogle Scholar
  5. 5.
    MacCready, P. B., Dynamic response characteristics of meteorological sensors, Bull. Am. Meteorol. Soc. 46, 533–518 (1965)Google Scholar
  6. 6.
    Gill, G. C, Olsson, L. E., Sela, J., and Suda, M., Accuracy of wind measurements on towers or stacks, Bull. Am. Meteorol. Soc. 48, 665–674 (1967).Google Scholar
  7. 7.
    Carter, J. K., The meteorologically instrumented WKY-TV tower facility, report No. NOAA TM ERLTM-NSSL-50, National Severe Storms Laboratory, Norman, Oklahoma (1970).Google Scholar
  8. 8.
    Cermak, J. E., and Horn, J. D., Tower shadow effect, J. Geophys. Res. 73, 1869–1876 (1968).CrossRefGoogle Scholar
  9. 9.
    Deacon, E. L., The levelling error in Reynolds stress measurement, Bull. Am. Meteorol. Soc. 49, 836 (1968).Google Scholar
  10. 10.
    Pond, S., Some effects of buoy motion on measurement of wind speed and stress, J. Geophys. Res. 73, 507–512 (1968).CrossRefGoogle Scholar
  11. 11.
    Kraus, E. B., What do we know about the sea-surface stress ? Bull. Am. Meteorol. Soc. 49, 247–253 (1968).Google Scholar
  12. 12.
    Kraus, E. B., Reply to Deacon, Bull. Am. Meteorol Soc. 49,836 (1968). (See Reference 9.)Google Scholar
  13. 13.
    Dyer, A. J., Hicks, B. B., and Sitaraman, V., Minimizing the leveling error in Reynolds stress measurement by filtering, J. Appi. Meteorol. 9, 532–534 (1970).CrossRefGoogle Scholar
  14. 14.
    Acheson, D. T., Response of cup and propeller rotors and wind direction vanes to turbulent wind fields, Meteorol. Monogr. 11, 252–261 (1970).Google Scholar
  15. 15.
    Moses, H., Meteorological instruments for use in the atomic energy industry, Meteorology and Atomic Energy, U.S. Atomic Energy Commission (1968), Chap. 6, pp. 257–298.Google Scholar
  16. 16.
    Kelton, G., and Bricout, P., Wind velocity measurements using sonic techniques, Bull. Am. Meteorol. Soc. 45, 571–580 (1964).Google Scholar
  17. 17.
    Beran, D. W., Little, C. G., and Willmarth, B. C., Acoustic Doppler measurements of vertical velocities in the atmosphere, Nature 230, 160–162 (1971).CrossRefGoogle Scholar
  18. 18.
    Beran, D. W., and Clifford, S. F., Acoustic Doppler measurement of the total wind vector, Second Symposium on Meteorological Observations and Instruments, American Meteorological Society (1972).Google Scholar
  19. 19.
    Benedetti-Michelangeli, G., Congeduti, F., and Fiocco, G., Measurement of aerosol motion and wind velocity in the lower troposphere by Doppler optical radar, J. Atmos. Sci. 29, 906–910 (1972).CrossRefGoogle Scholar
  20. 20.
    Weiler, H. S., and Burling, R. W., Direct measurements of stress and spectra of turbulence in the boundary layer over the sea, /. Atmos. Sci. 24, 653–664 (1967).CrossRefGoogle Scholar
  21. 21.
    Pond, S., et al., Spectra of velocity and temperature fluctuations in the atmospheric boundary layer over the sea, J. Atmos. Sci. 23, 376–386 (1966).CrossRefGoogle Scholar
  22. 22.
    Wesely, M. L., et al., Three-dimensional pressure-sphere anemometer system, J. Appi. Meteorol. 9, 379–385 (1970).CrossRefGoogle Scholar
  23. 23.
    Thurtell, G. W., et al, Eddy correlation measurements of sensible heat flux near the earth’s surface, J. Appi. Meteorol. 9, 379–385 (1970).CrossRefGoogle Scholar
  24. 24.
    Businger, J. A., Miyake, M., Dyer, A. J., and Bradley, E. F., On the direct determination of the turbulent heat flux near the ground, J. Appi Meteorol 6, 1025–1032 (1967).CrossRefGoogle Scholar
  25. 25.
    Middleton, W. E. K., and Spilhaus, A. F., Meteorological Instruments, University of Toronto Press (1953), pp. 53–56.Google Scholar
  26. 26.
    MacCready, P. B., Standardization of gustiness values from aircraft, J. Appi Meteorol 3, 439–449 (1964).CrossRefGoogle Scholar
  27. 27.
    Dutton, J. A., and Lenschow, D. H., An airborne measuring system for micrometeorological studies, Annual Report, Contract No. DA-36-039-SC-80282, Department of Meteorology, University of Wisconsin, Madison, Wisconsin (1963).Google Scholar
  28. 28.
    Warner, J., and Telford, J. W., On the measurement from an aircraft of buoyancy and vertical air velocity in cloud, J. Atmos. Sci. 19, 415–420 (1962).CrossRefGoogle Scholar
  29. 29.
    Kelly, N. D., Meteorological uses of inertial navigation, Atmospheric Technology, 1, National Center for Atmospheric Research, 37–39 (1973).Google Scholar
  30. 30.
    Lenschow, D. H., The measurement of air velocity and temperature using the NCAR Buffalo aircraft measuring system, NCAR Technical Note No. NCAR-TN/EDD-4, National Center for Atmospheric Research (1972), p. 39.Google Scholar
  31. 31.
    Axford, D. N., On the accuracy of wind measurements using an inertial platform in an aircraft, and an example of a measurement of the vertical mesostructure of the atmosphere, J. Appl. Meteorol. 7, 645–666 (1968).CrossRefGoogle Scholar
  32. 32.
    Dutton, J. A., Clear-air turbulence, aviation and atmospheric science, Rev. Geophys. Space Phys. 9, 613–657 (1971).CrossRefGoogle Scholar
  33. 33.
    Rodi, A. R., and Spyers-Duran, P. A., Analysis of time response of airborne temperature sensors, /. Appl. Meteorol. 11, 554–556 (1973).CrossRefGoogle Scholar
  34. 34.
    McCarthy, J., A method for correcting airborne temperature data for sensor response time, J. Appl. Meteorol 12, 211–214 (1973).CrossRefGoogle Scholar
  35. 35.
    Acheson, D. T., Comments on “A method for correcting airborne temperature data for sensor response time,” J. Appl. Meteorol. 12, 1089–1090 (1973).CrossRefGoogle Scholar
  36. 36.
    NCAR, Instrumenting NCAR’s “Buffalo” aircraft, Facilities for Atmospheric Research, No. 8, National Center for Atmospheric Research (1969), pp. 7–10.Google Scholar
  37. 37.
    Brown, W. J., McFadden, J. O., Hason, H. J., and Travis, C. W., Analysis of the Research Flight Facility gust probe system, J. Appl. Meteorol. 13, 156–167 (1974).CrossRefGoogle Scholar
  38. 38.
    Friedman, H. A., et al., ESSA Research Flight Facility aircraft participation on the Barbados oceanographic and meteorological experiment, Bull. Am. Meteorol. Soc. 51, 822–834 (1970).CrossRefGoogle Scholar
  39. 39.
    Friedman, H. H., et al., The ESSA Research Flight Facility: Data processing procedures, ESSA Technical Report No. ERL 132-RFF 2, Miami, Florida (1969), p. 64.Google Scholar
  40. 40.
    NCAR, Instrumenting NCAR’s “Buffalo” aircraft, Facilities for Atmospheric Research, No. 8, National Center for Atmospheric Research (1969), pp. 9–12.Google Scholar
  41. 41.
    Foote, G. B., and Fankhauser, J. C., Airflow and Moisture budget beneath a northeast Colorado hail storm, J. Appl. Meteorol. 12, 1330–1353 (1973).CrossRefGoogle Scholar
  42. 42.
    Pennell, W. T., and LeMone, M. A., An experimental study of turbulence structure in the fair-weather trade wind boundary layer, J. Atmos. Sci., 31, 1308–1323 (1974).CrossRefGoogle Scholar
  43. 43.
    Lilly, D. K., Progress in research on atmospheric turbulence, International Union of Geodesy and Geophysics (1971), pp. 332–341.Google Scholar
  44. 44.
    Buck, A. L., Development of an improved Lyman-alpha hygrometer, Atmospheric Technology, No. 2, National Center for Atmospheric Research, Boulder (1973), pp. 43–46.Google Scholar
  45. 45.
    MacCready, P. B., Jr., An applications memorandum for the MRI universal indicated turbulence system, report No. MRI 70 M-917, Meteorological Research Inc., Altadena, California, 1970, p. 15.Google Scholar

Additional Annotated References on Turbulence Measurement

  1. Lilly, D. K., and Lester, P. F., Waves and turbulence in the stratosphere, J. Atmos. Sci. 31,800–812 (1974). (Use of Doppler navigation and simple platform to reference vertical and aircraft-axis winds.)CrossRefGoogle Scholar
  2. Waco, D. E., A statistical analysis of wind and temperature variables associated with high altitude clear air turbulence (HICAT), J. Appl. Meteorol 9,300–309 (1970). (U-2 aircraft measurements of gust velocities and temperature fluctuations.)CrossRefGoogle Scholar
  3. Prophet, D. T., Vertical extent of turbulence in clear air above the tops of thunderstorms, J. appl. Meteorol. 9, 320–321 (1970). (U-2 aircraft measurements of vertical gusts.)CrossRefGoogle Scholar
  4. Robinson, F. L., and Konrad, T. G., A comparsion of the turbulent fluctuations in clear air convection measured simultaneously by aircraft and Doppler radar, J. Appl. Meteorol. 13, 481–487 (1974). (Doppler radar from fine-scale refractivity fluctuations. Aircraft carried a hot-wire anemometer. Comparison of spectra of horizontal velocity fluctuations was good for wavelengths of between 50 and 1000 m. Only 2-min averaging with aircraft data.)CrossRefGoogle Scholar
  5. Lilly, D. K., Waco, D. E., and Adelfang, S. I., Stratospheric mixing estimated from high-altitude turbulence measurements, J. Appl. Meteorol. 13, 488–493 (1974). (Calculated dissipation, from U-2 measurements of longitudinal velocity fluctuation. Calculated diffusion coefficient for heat KH, using e and the Brunt-Vaisala frequency. Stratospheric values of KH over mountains are of the order of 1 m2/sec in winter. This is 20–100 times smaller than Km—momentum diffusion coefficient—calculated similarly from measurements within 200 m of a mountain by Connell in 1972.)CrossRefGoogle Scholar
  6. Chiu, W.-C., and Crutcher, H. L., The spectrums of angular momentum transfer in the atmosphere, J. Geophys. Res. 71, 1017–1032 (1966). (Synoptic scale to planetary scale horizontal transfer using data from rawinsonde balloon ascents for North and Central American stations.)Google Scholar
  7. Sheih, C. M., Tennekes, H., and Lumley, J. L., Airborn hot-wire measurements of the small-scale structure of atmospheric turbulence, Phys. Fluids 14, 201–215 (1971). (Hot-wire on moving aircraft eliminated directional ambiguity and permitted linearized analysis of the hot-wire turbulence signal. No stable platform used. A pair of cross wires permitted estimation of two components of turbulence. Looked at dissipation end of spectrum. Found u and w computed dissipation rates to vary from 5 to 150 cm2/sec3.)CrossRefGoogle Scholar
  8. Horst, T. W., Corrections for response errors in a three-component propeller anemometer, J. Appl. Meteorol. 12, 716–725 (1973). (Compared power spectral density computation, for each of the three wind components, as measured by propellers and by sonic anemometers taken as the reference. Considerable disagreement but especially at frequencies between 0.3 and 1 Hz (cutoff). Correction for noncosine response handles the uniform error and correction for inertial lag decreases the error remaining in the high-frequency range by 50%.)CrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1977

Authors and Affiliations

  • J. R. Connell
    • 1
  1. 1.The University of Tennessee Space InstituteTullahomaUSA

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