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.

scholarly journals Development of an All-Fiber Coherent Doppler Lidar in the IAO SB RAS

2020 ◽  
Vol 237 ◽  
pp. 06005
Author(s):  
Artem Sherstobitov ◽  
Viktor Banakh ◽  
Alexander Nadeev ◽  
Igor Razenkov ◽  
Igor Smalikho ◽  
...  
Keyword(s):  
Signal Processing ◽  
Radial Velocity ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Stream Line ◽  
Doppler Lidar ◽  
Hardware System ◽  
Coherent Doppler Lidar

Paper presents a model of the all-fiber pulsed coherent Doppler lidar (IAO-lidar) build in the IAO SB RAS. Here is described lidar design, the algorithm for processing of lidar signals and the software-hardware system that implements signal processing in real time, created with the use of open source software. The results of joint measurements of the radial velocity by the IAO-lidar and the HALO Photonics (Stream Line) lidar are given.

scholarly journals Doppler Lidar Estimation of Mixing Height Using Turbulence, Shear, and Aerosol Profiles

2009 ◽  
Vol 26 (4) ◽  
pp. 673-688 ◽  
Author(s):  
Sara C. Tucker ◽  
Christoph J. Senff ◽  
Ann M. Weickmann ◽  
W. Alan Brewer ◽  
Robert M. Banta ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Air Quality ◽  
Potential Temperature ◽  
Lidar Data ◽  
Doppler Lidar ◽  
Mixing Height ◽  
Coherent Doppler Lidar ◽  
Lidar Measurements ◽  
Comparison Of The Results ◽  
Humidity Profiles

Abstract The concept of boundary layer mixing height for meteorology and air quality applications using lidar data is reviewed, and new algorithms for estimation of mixing heights from various types of lower-tropospheric coherent Doppler lidar measurements are presented. Velocity variance profiles derived from Doppler lidar data demonstrate direct application to mixing height estimation, while other types of lidar profiles demonstrate relationships to the variance profiles and thus may also be used in the mixing height estimate. The algorithms are applied to ship-based, high-resolution Doppler lidar (HRDL) velocity and backscattered-signal measurements acquired on the R/V Ronald H. Brown during Texas Air Quality Study (TexAQS) 2006 to demonstrate the method and to produce mixing height estimates for that experiment. These combinations of Doppler lidar–derived velocity measurements have not previously been applied to analysis of boundary layer mixing height—over the water or elsewhere. A comparison of the results to those derived from ship-launched, balloon-radiosonde potential temperature and relative humidity profiles is presented.

scholarly journals Lidar Studies of Wind Turbulence in the Stable Atmospheric Boundary Layer

2018 ◽  
Vol 10 (8) ◽  
pp. 1219 ◽  
Author(s):  
Viktor Banakh ◽  
Igor Smalikho
Keyword(s):  
Boundary Layer ◽  
Kinetic Energy ◽  
Atmospheric Boundary Layer ◽  
Dissipation Rate ◽  
Maximum Velocity ◽  
Turbulent Energy ◽  
Integral Scale ◽  
Stable Atmospheric Boundary Layer ◽  
Low Level Jets ◽  
Vertical Size

The kinetic energy of turbulence, the dissipation rate of turbulent energy, and the integral scale of turbulence in the stable atmospheric boundary layer at the location heights of low-level jets (LLJs) have been measured with a coherent Doppler light detection and ranging (lidar) system. The turbulence is shown to be weak in the central part of LLJs. The kinetic energy of turbulence at the maximum velocity heights of the jet does not exceed 0.1 (m/s)2, while the dissipation rate is about 10−5 m2/s3. On average, the integral scale of turbulence in the central part of the jet is about 100 m, which is two to three times less than the effective vertical size of the LLJ.

scholarly journals Effect of Wind Transport of Turbulent Inhomogeneities on Estimation of the Turbulence Energy Dissipation Rate from Measurements by a Conically Scanning Coherent Doppler Lidar

2020 ◽  
Vol 12 (17) ◽  
pp. 2802
Author(s):  
Igor N. Smalikho ◽  
Viktor A. Banakh
Keyword(s):  
Energy Dissipation ◽  
Dissipation Rate ◽  
Sonic Anemometer ◽  
Scanning Speed ◽  
Turbulent Energy ◽  
Energy Dissipation Rate ◽  
Stream Line ◽  
Turbulence Energy ◽  
Doppler Lidar ◽  
Coherent Doppler Lidar

A method for estimation of the turbulent energy dissipation rate from measurements by a conically scanning pulsed coherent Doppler lidar (PCDL), with allowance for the wind transport of turbulent velocity fluctuations, has been developed. The method has been tested in comparative atmospheric experiments with a Stream Line PCDL (Halo Photonics, Brockamin, Worcester, United Kingdom) and a sonic anemometer. It has been demonstrated that the method provides unbiased estimates of the dissipation rate at arbitrarily large ratios of the mean wind velocity to the linear scanning speed.

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