Vol. 34, issue 03, article # 3

Banakh V. A., Smalikho I. N., Falits A. V. Determination of the height of the turbulent mixing air layer based on estimation of the parameters of wind turbulence from lidar data. // Optika Atmosfery i Okeana. 2021. V. 34. No. 03. P. 169–184. DOI: 10.15372/AOO20210303 [in Russian].
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A method is suggested for retrieving the diurnal variation in the height of turbulent mixing layer based on the height-temporal distributions of the dissipation rate of turbulent kinetic energy and variance of radial velocity obtained from measurements with a conically scanning coherent Doppler lidar. The accuracy of determining the mixing layer height by the method suggested is analyzed.


the fundamental CO band wing, the He broadening, spectral line wings, second virial coefficient, potential energy surface


  1. Bonin T.A., Carroll B.J., Hardesty R.M., Brewer W.A., Hajny K., Salmon O.E., Shepson P.B. Doppler lidar observation of the mixing height in Indianapolis using an automated composite fuzzy logic approach // J. Atmos. Ocean. Technol. 2018. V. 35, N 3. P. 915–935.
  2. Hogan R.J., Grant A.L.M., Illingworth A.J., Pearson G.N., O’Connor E.J. Vertical velocity variance and skewness in clear and cloud-topped boundary layers as revealed by Doppler lidar // Q. J. R. Meteorol. Soc. 2009. V. 135, N 4. P. 635–643.
  3. Tucker S.C., Brewer W.A., Banta R.M., Senff C.J., Sandberg S.P., Law D.C., Weickmann A.M., Hardesty R.M. Doppler lidar estimation of mixing height using turbulence, shear, and aerosol profiles // J. Atmos. Ocean. Technol. 2009. V. 26, N 4. P. 673–688.
  4. Pichugina Y.L., Banta R.M. Stable boundary layer depth from high-resolution measurements of the mean wind profile // J. Appl. Meteorol. Climatol. 2010. V. 49, N 1. P. 20–35.
  5. Barlow J.F., Dunbar T.M., Nemitz E.G., Wood C.R., Gallagher M.W., Davies F., O’Connor E., Harrison R.M. Boundary layer dynamics over London, UK, as observed using Doppler lidar during REPARTEE-II // Atmos. Chem. Phys. 2011. V. 11, N 3. P. 2111–2125.
  6. Schween J.H., Hirsikko A., Löhnert U., Crewell S. Mixing-layer height retrieval with ceilometer and Doppler lidar: From case studies to long-term assessment // Atmos. Meas. Tech. 2014. V. 7, N 4. P. 3685–3704.
  7. Vakkari V., O’Connor E.J., Nisantzi A., Mamouri R.E., Hadjimitsis D.G. Low-level mixing height detection in coastal locations with a scanning Doppler lidar // Atmos. Meas. Tech. 2015. V. 8, N 4. P. 1875–1885.
  8. Huang M., Gao Z., Miao S., Chen F., Lemone M.A., Li J., Hu F., Wang L. Estimate of boundary-layer depth over Beijing, China, using Doppler lidar data during SURF-2015 // Bound.-Lay. Meteorol. 2017. V. 162, N 9. P. 503–522.
  9. Banakh V.A., Smalikho I.N. Lidar studies of wind turbulence in the stable atmospheric boundary layer // Remote Sens. 2018. V. 10, N 18. P. 1219.
  10. O’Connor E.J., Illingworth A.J., Brooks I.M., Westbrook C.D., Hogan R.J., Davies F., Brooks B.J. A method for estimating the kinetic energy dissipation rate from a vertically pointing Doppler lidar, and independent evaluation from balloon-borne in situ measurements // J. Atmos. Ocean. Technol. 2010. V. 27, N 10. P. 1652–1664.
  11. Smalikho I.N., Banakh V.A. Measurements of wind turbulence parameters by a conically scanning coherent Doppler lidar in the atmospheric boundary layer // Atmos. Meas. Tech. 2017. V. 10. P. 4191–4208.
  12. Eberhard W.L., Cupp R.E., Healy K.R. Doppler lidar measurement of profiles of turbulence and momentum flux // J. Atmos. Ocean. Technol. 1989. V. 6. P. 809–819.
  13. Banakh V.A., Smalikho I.N., Falits V.A. Estimation of the turbulence energy dissipation rate in the atmospheric boundary layer from measurements of the radial wind velocity by micropulse coherent Doppler lidar // Opt. Express. 2017. V. 25, N 19. P. 22679–22692.
  14. Frehlich R.G., Yadlowsky M.J. Performance of mean-frequency estimators for Doppler radar and lidar // J. Atmos. Ocean. Technol. 1994. V. 11, N 5. P. 1217–1230.
  15. Banakh V.A., Smalikho I.N. Kogerentnye doplerovskie vetrovye lidary v turbulentnoj atmosfere. Tomsk: Izd-vo IOA SO RAN, 2013. 304 з.
  16. Banakh V.A., Smalikho I.N. Lidar observations of atmospheric internal waves in the boundary layer of atmosphere on the coast of Lake Baikal // Atmos. Meas. Tech. 2016. V. 9, N 10. P. 5239–5248.
  17. Smalikho I.N. Techniques of wind vector estimation from data measured with a scanning coherent Doppler lidar // J. Atmos. Ocean. Technol. 2003. V. 20, N 2. P. 276–291.
  18. Banakh V.A., Smalikho I.N. Lidar estimates of the anisotropy of wind turbulence in a stable atmospheric boundary layer // Remote Sens. 2019. V. 11, N 18. 2115. DOI: 10.3390/rs11182115.
  19. Smalikho I.N., Banakh V.A., Holzäpfel F., Rahm S. Method of radial velocities for the estimation of aircraft wake vortex parameters from data measured by coherent Doppler lidar // Opt. Express. 2015. V. 23, N 19. P. A1194–A1207.
  20. Smalikho I.N., Banakh V.A. Tochnost' otsenivaniya skorosti dissipatsii energii turbulentnosti iz izmerenij vetra impul'snym kogerentnym doplerovskim lidarom pri konicheskom skanirovanii zondiruyushchim puchkom. Part I. Algoritm obrabotki lidarnyh dannyh // Optika atmosf. i okeana. 2013. V. 26, N 3. P. 213–219; Smalikho I.N., Banakh V.A. 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. 2013. V. 26, N 5. P. 404–410.