Articles | Volume 14, issue 2
Atmos. Meas. Tech., 14, 1511–1524, 2021
https://doi.org/10.5194/amt-14-1511-2021
Atmos. Meas. Tech., 14, 1511–1524, 2021
https://doi.org/10.5194/amt-14-1511-2021

Research article 25 Feb 2021

Research article | 25 Feb 2021

Estimation of the height of the turbulent mixing layer from data of Doppler lidar measurements using conical scanning by a probe beam

Viktor A. Banakh et al.

Related authors

Measurements of wind turbulence parameters by a conically scanning coherent Doppler lidar in the atmospheric boundary layer
Igor N. Smalikho and Viktor A. Banakh
Atmos. Meas. Tech., 10, 4191–4208, https://doi.org/10.5194/amt-10-4191-2017,https://doi.org/10.5194/amt-10-4191-2017, 2017
Lidar observations of atmospheric internal waves in the boundary layer of the atmosphere on the coast of Lake Baikal
Viktor A. Banakh and Igor N. Smalikho
Atmos. Meas. Tech., 9, 5239–5248, https://doi.org/10.5194/amt-9-5239-2016,https://doi.org/10.5194/amt-9-5239-2016, 2016

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging
Matteo Puccioni and Giacomo Valerio Iungo
Atmos. Meas. Tech., 14, 1457–1474, https://doi.org/10.5194/amt-14-1457-2021,https://doi.org/10.5194/amt-14-1457-2021, 2021
Short summary
Improvement in tropospheric moisture retrievals from VIIRS through the use of infrared absorption bands constructed from VIIRS and CrIS data fusion
E. Eva Borbas, Elisabeth Weisz, Chris Moeller, W. Paul Menzel, and Bryan A. Baum
Atmos. Meas. Tech., 14, 1191–1203, https://doi.org/10.5194/amt-14-1191-2021,https://doi.org/10.5194/amt-14-1191-2021, 2021
Short summary
Hydrometeor classification of quasi-vertical profiles of polarimetric radar measurements using a top-down iterative hierarchical clustering method
Maryna Lukach, David Dufton, Jonathan Crosier, Joshua M. Hampton, Lindsay Bennett, and Ryan R. Neely III
Atmos. Meas. Tech., 14, 1075–1098, https://doi.org/10.5194/amt-14-1075-2021,https://doi.org/10.5194/amt-14-1075-2021, 2021
Short summary
Assimilation of lidar planetary boundary layer height observations
Andrew Tangborn, Belay Demoz, Brian J. Carroll, Joseph Santanello, and Jeffrey L. Anderson
Atmos. Meas. Tech., 14, 1099–1110, https://doi.org/10.5194/amt-14-1099-2021,https://doi.org/10.5194/amt-14-1099-2021, 2021
Short summary
Detection of anomalies in the UV–vis reflectances from the Ozone Monitoring Instrument
Nick Gorkavyi, Zachary Fasnacht, David Haffner, Sergey Marchenko, Joanna Joiner, and Alexander Vasilkov
Atmos. Meas. Tech., 14, 961–974, https://doi.org/10.5194/amt-14-961-2021,https://doi.org/10.5194/amt-14-961-2021, 2021
Short summary

Cited articles

Banakh, V. and Smalikho, I.: Coherent Doppler Wind Lidars in a Turbulent Atmosphere, Artech House Publishers, Boston and London, ISBN: 13-978-1-60807-667-3, 2013. 
Banakh, V. A. and Smalikho, I. N.: Lidar studies of wind turbulence in the stable atmospheric boundary layer, Remote Sens., 10, 1219, https://doi.org/10.3390/rs10081219, 2018. 
Banakh, V. A. and Smalikho, I. N.: Lidar estimates of the anisotropy of wind turbulence in a stable atmospheric boundary layer, Remote Sens., 11, 2115, https://doi.org/10.3390/rs11182115, 2019. 
Banakh, V. A., Smalikho, I. N., and 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, 25, 22679–22692, https://doi.org/10.1364/OE.25.022679, 2017. 
Banakh, V. A., Smalikho, I. N., and Falits, A. V.: Wind–Temperature Regime and Wind Turbulence in a Stable Boundary Layer of the Atmosphere: Case Study, Remote Sens., 12, 955, https://doi.org/10.3390/rs12060955, 2020.