Method of radial velocities for the estimation of aircraft wake vortex parameters from data measured by coherent Doppler lidar

Smalikho, Igor N.; Banakh, V. A.; Holzäpfel, Frank; Rahm, Stephan

doi:10.1364/oe.23.0a1194

Cited by 58 publications

(53 citation statements)

References 14 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…using the method described in paper by Smalikho et al (2015c). Obtained values ε are rather small and decrease with height from 3 × 10 −5 m 2 s −13 at 200 m to approximately 10 −5 m 2 s −13 at 500 m. To calculate the contribution of the turbulence into variation of lidar estimates of the wind velocity, it is necessary to know, at least, the integral scale of the longitudinal wind velocity correlation L I .…”

Section: Observations and Analysismentioning

confidence: 99%

“…Studies of the gravity waves are carried out with the help of space images of the cloud fields in the visible and microwave regions (for example, German, 1985;Li et al, 2001) and radar images of the sea surface (for example, Spiridonov et al, 1987;Chunchuzov et al, 2000). Experimental investigations of AGWs in the ionosphere from the scattering of radio waves are carried out using different methods (for example, Benediktov et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Lidar observations of atmospheric internal waves in the boundary layer of the atmosphere on the coast of Lake Baikal

Banakh

Smalikho

2016

Atmos. Meas. Tech.

View full text Add to dashboard Cite

Abstract. Atmospheric internal waves (AIWs) in the boundary layer of atmosphere have been studied experimentally with the use of Halo Photonics pulsed coherent Doppler wind lidar Stream Line. The measurements were carried out over 14-28 August 2015 on the western coast of Lake Baikal (51 • 50 47.17 N, 104 • 53 31.21 E), Russia. The lidar was placed at a distance of 340 m from Lake Baikal at a height of 180 m above the lake level.A total of six AIW occurrences have been revealed. This always happened in the presence of one or two (in five out of six cases) narrow jet streams at heights of approximately 200 and 700 m above ground level at the lidar location. The period of oscillations of the wave addend of the wind velocity components in four AIW events was 9 min, and in the other two it was approximately 18 and 6.5 min. The amplitude of oscillations of the horizontal wind velocity component was about 1 m s −1 , while the amplitude of oscillations of the vertical velocity was 3 times smaller. In most cases, internal waves were observed for 45 min (5 wave oscillations with a period of 9 min). Only once the AIW lifetime was about 4 h.

show abstract

Section: Observations and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lidar observations of atmospheric internal waves in the boundary layer of the atmosphere on the coast of Lake Baikal

Banakh

Smalikho

2016

Atmos. Meas. Tech.

View full text Add to dashboard Cite

show abstract

“…The vortex circulation is obtained by fitting the velocity measured by LiDAR to that computed by the Burnham-Hallock vortex model. In the study conducted by Smalikho et al [79], the radial velocity method and the velocity envelope method showed similar performance in predicting the vortex position, while the error of vortex circulation estimated by the radial velocity method was 5 times higher. Computationally expensive methods that make use of estimators on spectrum-based analytical models are more accurate.…”

Section: Aircraft Wake Vortexmentioning

confidence: 88%

A Review of Progress and Applications of Pulsed Doppler Wind LiDARs

et al. 2019

View full text Add to dashboard Cite

Doppler wind LiDAR (Light Detection And Ranging) makes use of the principle of optical Doppler shift between the reference and backscattered radiations to measure radial velocities at distances up to several kilometers above the ground. Such instruments promise some advantages, including its large scan volume, movability and provision of 3-dimensional wind measurements, as well as its relatively higher temporal and spatial resolution comparing with other measurement devices. In recent decades, Doppler LiDARs developed by scientific institutes and commercial companies have been well adopted in several real-life applications. Doppler LiDARs are installed in about a dozen airports to study aircraft-induced vortices and detect wind shears. In the wind energy industry, the Doppler LiDAR technique provides a promising alternative to in-situ techniques in wind energy assessment, turbine wake analysis and turbine control. Doppler LiDARs have also been applied in meteorological studies, such as observing boundary layers and tracking tropical cyclones. These applications demonstrate the capability of Doppler LiDARs for measuring backscatter coefficients and wind profiles. In addition, Doppler LiDAR measurements show considerable potential for validating and improving numerical models. It is expected that future development of the Doppler LiDAR technique and data processing algorithms will provide accurate measurements with high spatial and temporal resolutions under different environmental conditions.

show abstract

“…Many studies show the capabilities to track WV within the Doppler spectra and also within the radial wind data [5][6] [7]. In the past two years, WV algorithms have been developed based on the fitting of a WV theoretical model on radial wind speeds [7]. This method is used in the WINDCUBE WV characterization algorithm which detects, localizes and computes the circulation of WV.…”

Section: Wake Vortex Algorithms For Cdlsmentioning

confidence: 99%

“…This method is used in the WINDCUBE WV characterization algorithm which detects, localizes and computes the circulation of WV. This last step is performed by a least mean square optimization of a Hallock-Burnham WV theoretical model on the radial wind speeds, as proposed by Smalikho [7]. This algorithm has been validated on real wake vortex data collected at Paris-Charles-De-Gaulle airport in 2011 and at Toulouse-Blagnac airport in 2014 [9].…”

Section: Wake Vortex Algorithms For Cdlsmentioning

confidence: 99%

Comparison and validation of wake vortex characteristics collected at different airports by different scanning lidar sensors

Thobois¹,

Cariou²,

Cappellazzo

et al. 2018

EPJ Web Conf.

View full text Add to dashboard Cite

Today, the demand for increasing airport capacity is high, in particular for increasing runway throughput from an ATM perspective. Runway capacity is often directly linked with the minima longitudinal separation between aircraft on approach phase or between aircraft on departure. The separation minima are based on surveillance capabilities and on wake turbulence (WT) in order to mitigate respectively collision risk and WT-induced accidents, therefore WT hazard becomes a major concern for ATM. For ten years, many research LIDAR systems have been used for better understanding wake vortices behaviors in the operational environment within large range of wind and turbulence conditions. All these studies[1][2] helped to design new concepts of wake separations between aircrafts thanks to the proven capabilities of LIDAR systems to assess the risks of wake vortex (WV) encounters through the circulation retrievals. The re-categorization project, called RECAT [8], has been launched by a joint EUROCONTROL – FAA initiative in order to renew and optimize the out-of-date currently applied ICAO regulations on distance separation. Nowadays, the first phase of regional RECAT projects, which consists in defining new distance separation matrices composed of six/seven static aircraft categories instead of three, entered the operational phase and is deployed in several airports in United States and Europe. In addition, other concepts like Time-Based Separation have also been studied and deployed in London Heathrow. The airports where these solutions have been deployed obtained significant benefits as increased runway throughput and improved resilience to disruptions. For implementing such new WT solutions at an airport, a local safety assessment before the implementation and a risk monitoring after are usually needed. Before implementation, it may be required to determine for the targeted airport the relative variations of risk of wake vortex encounters, given the local ATM rules, the traffic mix, the weather conditions and their impact on the wake vortex decay. After implementation, the risk monitoring might perform in-depth analysis of wake vortex encounter reported by pilots. For all the mentioned steps, the use of scanning Doppler LIDARs is the only experimental sensor capable of measuring the localization and the circulation of the wake vortices and to provide ground truth wake vortex measurements. Next generation operational LIDARs need to be developed to address in a cost effective way these operational needs. Furthermore, a specific configuration and methodology need to be developed to ensure the accuracy of the wake vortex data. Such a LIDAR based wake vortex solution has been tested at Paris Charles De Gaulle which implemented the RECAT-EU wake separation scheme. The wake vortex circulation, initial spacing and decay measured have been compared to the data collected in London Heathrow by a different LIDAR sensor. The results indicated that the initial circulation, the time to demise, the decay curve evolution and the vortex spacing are very coherent between the two databases.

show abstract

Method of radial velocities for the estimation of aircraft wake vortex parameters from data measured by coherent Doppler lidar

Cited by 58 publications

References 14 publications

Lidar observations of atmospheric internal waves in the boundary layer of the atmosphere on the coast of Lake Baikal

Lidar observations of atmospheric internal waves in the boundary layer of the atmosphere on the coast of Lake Baikal

A Review of Progress and Applications of Pulsed Doppler Wind LiDARs

Comparison and validation of wake vortex characteristics collected at different airports by different scanning lidar sensors

Contact Info

Product

Resources

About