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Accuracy of estimation of the turbulent energy dissipation rate from wind measurements with a conically scanning pulsed coherent Doppler lidar. Part II. Numerical and atmospheric experiments

Abstract

Using numerical simulation, possibilities of measurements of the turbulent energy dissipation rate with a pulsed coherent Doppler lidar (PCDL) are studied in the case of conical scanning with a probing beam, with allowance for the averaging of the radial velocity over the sensing volume and error of estimates of the radial velocity. The error of the lidar estimate of the dissipation rate was calculated as a function of the number of full scans with a probing beam and of the signal-to-noise ratio. A comparative analysis was performed for the results of joint measurements of the dissipation rate by sonic anemometers and 2-μm PCDL.

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References

  1. I. N. Smalikho and V. A. Banakh, “Accuracy of Estimation of the Turbulent Energy Dissipation Rate from Wind Measurements with a Conically Scanning Pulsed Coherent Doppler Lidar. Part I. Algorithm of Data Processing,” Atmos. Ocean. Opt. 26(5), 404–410 (2013).

    Article  Google Scholar 

  2. R. G. Frehlich and M. J. Yadlowsky, “Performance of Mean-Frequency Estimators for Doppler Radar and Lidar,” J. Atmos. and Ocean. Technol. 11(5), 1217–1230 (1994)

    ADS  Article  Google Scholar 

  3. B. J. Ray and R. M. Hardesty, “Discrete Spectral Peak Estimation in Incoherent Backscatter Heterodyne Lidar. Part I: Spectral Accumulation and Cramer-Rao Lower Bound,” IEEE Transactions on Geosci. and Remote Sens. 31(1), 16–27 (1993).

    ADS  Article  Google Scholar 

  4. V. A. Banakh and I. N. Smalikho, “Estimation of the Turbulent Energy Dissipation Rate from the Pulsed Doppler Lidar Data,” Atmos. Ocean. Opt. 10(12), 957–965 (1997).

    Google Scholar 

  5. I. N. Smalikho, F. Kopp, and S. Rahm, “Measurement of Atmospheric Turbulence by 2-μm Doppler Lidar,” J. Atmos. and Ocean. Technol. 22(11), 1733–1747 (2005).

    ADS  Article  Google Scholar 

  6. N. Kelley, M. Shirazi, D. Jager, S. Wilde, J. Adams, M. Buhl, P. Sullivan, and E. Patton, “Lamar Low-Level Jet Program,” in Interim Report of National Renewable Energy Laboratory, Golden, CO. NREL Report TP-500-34593 (2004).

    Google Scholar 

  7. C. J. Grund, R. M. Banta, J. L. George, J. N. Howell, M. J. Post, R. A. Richter, and A. M. Weickman, “High-Resolution Doppler Lidar for Boundary Layer and Cloud Research,” J. Atmos. and Ocean. Technol. 18(3), 376–393 (2001).

    ADS  Article  Google Scholar 

  8. V. A. Banakh, I. N. Smalikho, Y. L. Pichugina, and W. A. Brewer, “Representativeness of Measurements of the Dissipation Rate of Turbulent Energy by Scanning Doppler Lidar,” Atmos. Ocean. Opt. 23(1), 48–54 (2010).

    Article  Google Scholar 

  9. V. A. Banakh, W. A. Brewer, Y. L. Pichugina, and I. N. Smalikho, “Measurements of Wind Velocity and Direction with Coherent Doppler Lidar in Conditions of a Weak Echo Signal,” Atmos. Ocean. Opt. 23(5), 381–388 (2010).

    Article  Google Scholar 

  10. N. L. Byzova, V. N. Ivanov, and E. K. Garger, Turbulence in Atmospheric Boundary Layer (Gidrometeoizdat, Leningrad, 1989) [in Russian].

    Google Scholar 

  11. J. Lumley and H. Panofsky, The Structure of Atmospheric Turbulence (Interscience Publisher, New York-London-Sydney, 1964.

    Google Scholar 

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Original Russian Text © I.N. Smalikho, V.A. Banakh, E.L. Pichugina, A. Brewer, 2013, published in Optica Atmosfery i Okeana.

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Smalikho, I.N., Banakh, V.A., Pichugina, E.L. et al. Accuracy of estimation of the turbulent energy dissipation rate from wind measurements with a conically scanning pulsed coherent Doppler lidar. Part II. Numerical and atmospheric experiments. Atmos Ocean Opt 26, 411–416 (2013). https://doi.org/10.1134/S1024856013050151

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  • DOI: https://doi.org/10.1134/S1024856013050151

Keywords

  • Lidar
  • Radial Velocity
  • Dissipation Rate
  • Lidar Data
  • Sonic Anemometer