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

Smalikho, Igor N.; Banakh, V. A.

doi:10.3390/rs12172802

Cited by 6 publications

(5 citation statements)

References 20 publications

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“…To determine the wind velocity vector (time-averaged) and the spectra of turbulent fluctuations of the vertical velocity, we used a StreamLine (Halo Photonics, Brockamin, Worcester, United Kingdom) pulse coherent Doppler lidar (PCDL) [45] and the measurement strategy proposed in [46]. First, one full scan around the vertical axis under an elevation angle ϕ = 60 • is performed for the time T scan = 1 min (see Figure 1 in [47] illustrating scan geometry). Then, the beam is pointed vertically (elevation angle ϕ = 90 • ), and the vertical probing is conducted for the time T vert .…”

Section: Measurement Techniquementioning

confidence: 99%

The Impact of Internal Gravity Waves on the Spectra of Turbulent Fluctuations of Vertical Wind Velocity in the Stable Atmospheric Boundary Layer

Banakh

Smalikho

2023

Remote Sensing

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The wave turbulence interactions in the stable boundary layer (SBL) of the atmosphere are studied based on data from lidar measurements of the vertical component of wind velocity during the propagation of internal gravity waves (IGWs). It is shown that as an IGW appears, the amplitude of the spectra of turbulent fluctuations of vertical wind velocity nearby the frequency of quasi-harmonic oscillations induced by an IGW increases significantly, sometimes by several orders of magnitude, compared to the spectra in the absence of an IGW. Since IGW energy is transferred to small-scale turbulence, the amplitude of spectra with the Kolmogorov–Obukhov −5/3 power-law frequency dependence in the inertial frequency range increases. The slope of the spectra in the low-frequency range between the frequency of IGW-induced oscillations and the frequency of the lower boundary of the inertial range exceeds the slope, corresponding to the −5/3 power-law dependence. In this frequency range, the spectra obey the power-law dependence on the frequency with the exponent ranging from −4.2 to −1.9. The average value of the exponent −3 is consistent with a low-frequency slope caused by IGWs in turbulent spectra in the lower SBL.

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Section: Measurement Techniquementioning

confidence: 99%

The Impact of Internal Gravity Waves on the Spectra of Turbulent Fluctuations of Vertical Wind Velocity in the Stable Atmospheric Boundary Layer

Banakh

Smalikho

2023

Remote Sensing

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“…Integral scale L v is an indicator reflecting the rationality of the turbulence parameters retrieval [46]. The Kolmogorov "2/3 law" holds, and the lidar measurement is within an inertial subrange when the longitudinal and transverse dimensions of the sensing volume do not exceed the upper boundary of the inertial subrange (L v > max{∆y, ∆z}, ∆y is the spatial distance between the centers of two neighbouring probing volumes, ∆z is the longitudinal dimension of the probing volume, and ∆z = 30 m and 60 m in the vertical direction of 0.03-2.20 km and 2.20-4.79 km, respectively).…”

Section: Limitation and Uncertainty Analysismentioning

confidence: 99%

“…Coherent Doppler wind lidar (CDWL) obtains radial wind speed information by retrieving the frequency shift of the received signal after passing through a distance in the atmosphere [40][41][42]. Its reliable performance has been verified in various areas, such as the following: turbulence parameters [43][44][45][46][47], aircraft wake vortices [48], boundary layer height [49][50][51], cloud seeding [52], gravity waves [53,54], low-level jets (LLJs) [44,55,56], simultaneous wind and rainfall detection [57], identifying different atmospheric environments [58], and others [59,60]. Therefore, using CDWL is a promising method for detecting the dynamic part of turbulence with high resolution.…”

Section: Introductionmentioning

confidence: 99%

Turbulence Detection in the Atmospheric Boundary Layer Using Coherent Doppler Wind Lidar and Microwave Radiometer

Jiang

Yuan

et al. 2022

Remote Sensing

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The refractive index structure constant (Cn2) is a key parameter used in describing the influence of turbulence on laser transmissions in the atmosphere. Three different methods for estimating Cn2 were analyzed in detail. A new method that uses a combination of these methods for continuous Cn2 profiling with both high temporal and spatial resolution is proposed and demonstrated. Under the assumption of the Kolmogorov “2/3 law”, the Cn2 profile can be calculated by using the wind field and turbulent kinetic energy dissipation rate (TKEDR) measured by coherent Doppler wind lidar (CDWL) and other meteorological parameters derived from a microwave radiometer (MWR). In a horizontal experiment, a comparison between the results from our new method and measurements made by a large aperture scintillometer (LAS) is conducted. The correlation coefficient, mean error, and standard deviation between them in a six-day observation are 0.8073, 8.18 × 10−16 m−2/3, and 1.27 × 10−15 m−2/3, respectively. In the vertical direction, the continuous profiling results of Cn2 and other turbulence parameters with high resolution in the atmospheric boundary layer (ABL) are retrieved. In addition, the limitation and uncertainty of this method under different circumstances were analyzed, which shows that the relative error of Cn2 estimation normally does not exceed 30% under the convective boundary layer (CBL).

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“…3,10,15,22,27 For laser atmospheric transmission, it is possible to accurately obtain the attenuation characteristics and intensity distribution characteristics of the specified direction laser, as well as the information of wind which affects atmospheric transmittance and thermal blooming. 27,29 Due to the transition zone and blind zone of LiDAR, the detection of turbulence in the near field is limited, and real-time detection of turbulence in any direction also faces enormous challenges. Moreover, detecting atmospheric transmittance on any specified path will become significantly preferable due to uncorrected near-field geometric.…”

Section: Introductionmentioning

confidence: 99%

“…And LiDAR can detect atmospheric transmittance, turbulence, and wind data along any designated path on the target path 3 , 10 , 15 , 22 , 27 . For laser atmospheric transmission, it is possible to accurately obtain the attenuation characteristics and intensity distribution characteristics of the specified direction laser, as well as the information of wind which affects atmospheric transmittance and thermal blooming 27 , 29 . Due to the transition zone and blind zone of LiDAR, the detection of turbulence in the near field is limited, and real-time detection of turbulence in any direction also faces enormous challenges.…”

Section: Introductionmentioning

confidence: 99%

LiDAR technology and experimental research for comprehensive measurement of atmospheric transmittance, turbulence, and wind

Yang,

Qiu,

Fang

et al. 2023

J. Appl. Rem. Sens.

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Atmospheric transmittance, turbulence, and wind play a crucial role in the field of laser atmospheric transmission. In response to the demand for comprehensive detection of atmospheric optical parameters, a LiDAR system for comprehensive measurement of atmospheric transmittance, turbulence, and wind (ACW-LiDAR) has been developed through integrated optical and mechanical design. The remote sensing measurement of atmospheric transmittance, turbulence, and wind simultaneously and along a common path has been realized by the ACW-LiDAR. By proposing a limb scanning algorithm, the problem of preference for atmospheric transmittance estimation has been overcome, and the problem of inconvenient turbulence measurement at near-surface has been effectively solved. It is also possible to obtain wind information on the laser transmission route. The experimental results based on the ACW-LiDAR system indicate that the detection distance of atmospheric transmittance is greater than 10 km @ 1064 nm. The detection distance of turbulence is greater than 10 km @ 532 nm. The detection distance of wind is greater than 4 km @ 1550 nm. The comparison between the ACW-LiDAR system and the ground meteorological automatic observation system shows that the variation trend in extinction coefficient, turbulence, and radial wind velocity is consistent, with a correlation better than 0.69, verifying the accuracy of the developed ACW-LiDAR system. The analysis of comprehensive scanning detection indicates that the three key atmospheric parameters mentioned above are interrelated and mutually influencing. So the measurement of the same time and common path of atmospheric transmittance, turbulence, and wind is of great significance. These can provide a theoretical and experimental basis for long-term observation and accumulation of atmospheric parameters, as well as the correction of atmospheric parameters.

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

Cited by 6 publications

References 20 publications

The Impact of Internal Gravity Waves on the Spectra of Turbulent Fluctuations of Vertical Wind Velocity in the Stable Atmospheric Boundary Layer

The Impact of Internal Gravity Waves on the Spectra of Turbulent Fluctuations of Vertical Wind Velocity in the Stable Atmospheric Boundary Layer

Turbulence Detection in the Atmospheric Boundary Layer Using Coherent Doppler Wind Lidar and Microwave Radiometer

LiDAR technology and experimental research for comprehensive measurement of atmospheric transmittance, turbulence, and wind

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