Estimations of atmospheric boundary layer fluxes and other turbulence parameters from Doppler lidar data

1992 ◽  
Vol 97 (D17) ◽  
pp. 18409 ◽  
Author(s):  
Tzvi Gal-Chen ◽  
Mei Xu ◽  
Wynn L. Eberhard
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Lidar Data ◽  
Doppler Lidar ◽  
Turbulence Parameters

scholarly journals Measurements of wind turbulence parameters by a conically scanning coherent Doppler lidar in the atmospheric boundary layer

2017 ◽  
Author(s):  
Igor N. Smalikho ◽  
Viktor A. Banakh
Keyword(s):  
Boundary Layer ◽  
Kinetic Energy ◽  
Radial Velocity ◽  
Dissipation Rate ◽  
Stream Line ◽  
Lidar Data ◽  
Doppler Lidar ◽  
Integral Scale ◽  
Coherent Doppler Lidar ◽  
Turbulence Parameters

Abstract. The method and results of lidar studies of spatiotemporal variability of wind turbulence in the atmospheric boundary layer are reported. The measurements were conducted by a Stream Line pulsed coherent Doppler lidar with the use of conical scanning by a probing beam around the vertical axis. Lidar data are used to estimate the kinetic energy of turbulence, turbulent energy dissipation rate, integral scale of turbulence, and momentum fluxes. The dissipation rate was determined from the azimuth structure function of radial velocity within the inertial subrange of turbulence. When estimating the kinetic energy of turbulence from lidar data, we took into account the averaging of radial velocity over the sensing volume. The integral scale of turbulence was determined on the assumption that the structure of random irregularities of the wind field is described by the von Karman model. The domain of applicability of the used method and the accuracy of estimation of turbulence parameters were determined. Turbulence parameters estimated from Stream Line lidar measurement data and from data of a sonic anemometer were compared.

scholarly journals Measurements of wind turbulence parameters by a conically scanning coherent Doppler lidar in the atmospheric boundary layer

2017 ◽  
Vol 10 (11) ◽  
pp. 4191-4208 ◽  
Author(s):  
Igor N. Smalikho ◽  
Viktor A. Banakh
Keyword(s):  
Boundary Layer ◽  
Kinetic Energy ◽  
Radial Velocity ◽  
Dissipation Rate ◽  
Stream Line ◽  
Lidar Data ◽  
Doppler Lidar ◽  
Integral Scale ◽  
Coherent Doppler Lidar ◽  
Turbulence Parameters

Abstract. The method and results of lidar studies of spatiotemporal variability of wind turbulence in the atmospheric boundary layer are reported. The measurements were conducted by a Stream Line pulsed coherent Doppler lidar (PCDL) with the use of conical scanning by a probing beam around the vertical axis. Lidar data are used to estimate the kinetic energy of turbulence, turbulent energy dissipation rate, integral scale of turbulence, and momentum fluxes. The dissipation rate was determined from the azimuth structure function of radial velocity within the inertial subrange of turbulence. When estimating the kinetic energy of turbulence from lidar data, we took into account the averaging of radial velocity over the sensing volume. The integral scale of turbulence was determined on the assumption that the structure of random irregularities of the wind field is described by the von Kármán model. The domain of applicability of the used method and the accuracy of the estimation of turbulence parameters were determined. Turbulence parameters estimated from Stream Line lidar measurement data and from data of a sonic anemometer were compared.

scholarly journals Lidar Estimates of the Anisotropy of Wind Turbulence in a Stable Atmospheric Boundary Layer

2019 ◽  
Vol 11 (18) ◽  
pp. 2115 ◽  
Author(s):  
Banakh ◽  
Smalikho
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Stream Line ◽  
Doppler Lidar ◽  
Anisotropy Coefficient ◽  
Stable Temperature ◽  
Coherent Doppler Lidar ◽  
Wind Turbulence ◽  
Stable Atmospheric Boundary Layer ◽  
Turbulence Parameters

In this paper, a method is proposed to estimate wind turbulence parameters using measurements recorded by a conically scanning coherent Doppler lidar with two different elevation angles. This methodology helps determine the anisotropy of the spatial correlation of wind velocity turbulent fluctuations. The proposed method was tested in a field experiment with a Stream Line lidar (Halo Photonics, Brockamin, Worcester, United Kingdom) under stable temperature stratification conditions in the atmospheric boundary layer. The results show that the studied anisotropy coefficient in a stable boundary layer may be up to three or larger.

Structure of aerosol fields of the atmospheric boundary layer according to aerosol and Doppler lidar data during passage of atmospheric fronts

2017 ◽  
Vol 30 (1) ◽  
pp. 18-32 ◽  
Author(s):  
G. P. Kokhanenko ◽  
Yu. S. Balin ◽  
M. G. Klemasheva ◽  
I. E. Penner ◽  
S. V. Samoilova ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Lidar Data ◽  
Doppler Lidar ◽  
Atmospheric Fronts

Study of Thermal Activity in The Mixing Layer During First Generated Single Cloud by Using Combined Observation From Boundary Layer Radar, Doppler Lidar and Time Lapse Camera 

2021 ◽  
Author(s):  
Ginaldi Ari Nugroho ◽  
Kosei Yamaguchi ◽  
Eiichi Nakakita ◽  
Masayuki K. Yamamoto ◽  
Seiji Kawamura ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Time Series ◽  
Atmospheric Boundary Layer ◽  
Vertical Velocity ◽  
Time Lapse ◽  
Small Scale ◽  
Thermal Activity ◽  
Doppler Lidar ◽  
Cumulus Cloud ◽  
Scale Perturbation

<p>Detailed observation of small scale perturbation in the atmospheric boundary layer during the first generated cumulus cloud are conducted. Our target is to study this small scale perturbation, especially related to the thermal activity at the first generated cumulus cloud. The observation is performed during the daytime on August 17, 2018, and September 03, 2018. Location is focused in the urban area of Kobe, Japan. High-resolution instruments such as Boundary Layer Radar, Doppler Lidar, and Time Lapse camera are used in this observation. Boundary Layer Radar, and Doppler Lidar are used for clear air observation. Meanwhile Time Lapse Camera are used for cloud existence observation. The atmospheric boundary layer structure is analyzed based on vertical velocity profile, variance, skewness, and estimated atmospheric boundary layer height. Wavelet are used to observe more of the period of the thermal activity. Furthermore, time correlation between vertical velocity time series from height 0.3 to 2 km and image pixel of generated cloud time series are also discussed in this study.</p>

scholarly journals STRUCTURE OF TURBULENCE IN THE URBAN ATMOSPHERIC BOUNDARY LAYER DETECTED IN THE DOPPLER LIDAR OBSERVATION

2011 ◽  
Vol 67 (4) ◽  
pp. I_313-I_318 ◽  
Author(s):  
Ryoko ODA ◽  
Hironori IWAI ◽  
Shoken ISHII ◽  
Shinya SEKIZAWA ◽  
Kohei MIZUTANI ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Doppler Lidar ◽  
Lidar Observation

Estimate of Boundary-Layer Depth Over Beijing, China, Using Doppler Lidar Data During SURF-2015

2016 ◽  
Vol 162 (3) ◽  
pp. 503-522 ◽  
Author(s):  
Meng Huang ◽  
Zhiqiu Gao ◽  
Shiguang Miao ◽  
Fei Chen ◽  
Margaret A. LeMone ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Lidar Data ◽  
Doppler Lidar ◽  
Layer Depth ◽  
Beijing China

Simulations of the retrieval of a two-dimensional wave-like structure in the atmospheric boundary layer by an airborne 10.6 µm-heterodyne Doppler lidar

2000 ◽  
Vol 9 (6) ◽  
pp. 329-338 ◽  
Author(s):  
Philippe. Drobinski ◽  
Julie Périn ◽  
Alain M. Dabas ◽  
Pierre H. Flamant ◽  
Robert A. Brown
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Two Dimensional ◽  
Doppler Lidar ◽  
Dimensional Wave
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