134 citations as recorded by crossref.

1. Performance evaluation of an all-fiber image-reject homodyne coherent Doppler wind lidar C. Abari et al. https://doi.org/10.5194/amt-8-4145-2015
2. Improved observations of turbulence dissipation rates from wind profiling radars K. McCaffrey et al. https://doi.org/10.5194/amt-10-2595-2017
3. Characterisation of Single Wind Turbine Wakes with Static and Scanning WINTWEX-W LiDAR Data V. Kumer et al. https://doi.org/10.1016/j.egypro.2015.11.428
4. Detection of wakes in the inflow of turbines using nacelle lidars D. Held & J. Mann https://doi.org/10.5194/wes-4-407-2019
5. Identifying cloud, precipitation, windshear, and turbulence by deep analysis of the power spectrum of coherent Doppler wind lidar J. Yuan et al. https://doi.org/10.1364/OE.412809
6. Wind–Temperature Regime and Wind Turbulence in a Stable Boundary Layer of the Atmosphere: Case Study V. Banakh et al. https://doi.org/10.3390/rs12060955
7. Remote Determination of Turbulence Parameters of a Stratified Atmospheric Boundary Layer V. Banakh et al. https://doi.org/10.1134/S1024856024701227
8. Research on Near-Surface Atmospheric Turbulence Characteristics Based on Temperature Pulsation Meter in the Nanjing Area X. Hu et al. https://doi.org/10.3390/photonics12121168
9. Aircraft LRV-2 Lidar Measurements of Vertical Wind Speed and Turbulence Parameters A. Sherstobitov et al. https://doi.org/10.1134/S1024856025700964
10. Evaluation of three lidar scanning strategies for turbulence measurements J. Newman et al. https://doi.org/10.5194/amt-9-1993-2016
11. Demonstration and uncertainty analysis of synchronised scanning lidar measurements of 2-D velocity fields in a boundary-layer wind tunnel M. van Dooren et al. https://doi.org/10.5194/wes-2-329-2017
12. Application of short-range dual-Doppler lidars to evaluate the coherence of turbulence E. Cheynet et al. https://doi.org/10.1007/s00348-016-2275-9
13. Estimation of near wake turbulence characteristics with dual WindScanner lidar measurements S. Uluocak et al. https://doi.org/10.1088/1742-6596/3224/3/032094
14. An error reduction algorithm to improve lidar turbulence estimates for wind energy J. Newman & A. Clifton https://doi.org/10.5194/wes-2-77-2017
15. Nacelle-based lidar measurements of wind farm turbulence and validation with a fleet of multicopter drones N. Wildmann et al. https://doi.org/10.1088/1742-6596/3224/2/022031
16. Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar F. Kelberlau & J. Mann https://doi.org/10.5194/wes-5-519-2020
17. A six-beam method to measure turbulence statistics using ground-based wind lidars A. Sathe et al. https://doi.org/10.5194/amt-8-729-2015
18. Turbulence and Windshear Study for Typhoon Wipha in 2025 K. Lo et al. https://doi.org/10.3390/app152312772
19. Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics J. Lundquist et al. https://doi.org/10.5194/amt-8-907-2015
20. Probing Dissipation Rate of Turbulent Kinetic Energy in the Marine Atmospheric Boundary Layer with Scanning Doppler LiDAR S. Roy et al. https://doi.org/10.1007/s10546-026-00977-6
21. Methodology for obtaining wind gusts using Doppler lidar I. Suomi et al. https://doi.org/10.1002/qj.3059
22. Complementary use of wind lidars and land-based met-masts for wind measurements in a wide fjord E. Cheynet et al. https://doi.org/10.1088/1742-6596/1104/1/012028
23. Lidar Estimates of the Anisotropy of Wind Turbulence in a Stable Atmospheric Boundary Layer V. Banakh & I. Smalikho https://doi.org/10.3390/rs11182115
24. Comparison of the performance between three Doppler wind lidars and a novel wind speed correction algorithm Y. Zhang et al. https://doi.org/10.5194/amt-18-4755-2025
25. Accuracy Verification of Multiple Floating LiDARs at the Mutsu-Ogawara Site S. Uchiyama et al. https://doi.org/10.3390/en17133164
26. Triple Doppler wind lidar observations during the mountain terrain atmospheric modeling and observations field campaign Y. Wang et al. https://doi.org/10.1117/1.JRS.10.026015
27. Determination of eddy dissipation rate by Doppler lidar in Reykjavik, Iceland S. Yang et al. https://doi.org/10.1002/met.1951
28. A novel method for estimating the atmospheric turbulence vertical structure using coherent doppler wind lidar data from cone scanning Y. Hu et al. https://doi.org/10.1038/s41598-026-55152-1
29. Identification of the energy contributions associated with wall-attached eddies and very-large-scale motions in the near-neutral atmospheric surface layer through wind LiDAR measurements M. Puccioni et al. https://doi.org/10.1017/jfm.2022.1080
30. Estimation of the turbulence energy dissipation rate in the atmospheric boundary layer from measurements of the radial wind velocity by micropulse coherent Doppler lidar V. Banakh et al. https://doi.org/10.1364/OE.25.022679
31. Doppler Radar Measurements of Spatial Turbulence Intensity in the Atmospheric Boundary Layer J. Duncan et al. https://doi.org/10.1175/JAMC-D-18-0151.1
32. Vertical profile characteristics of thunderstorm outflows F. Canepa et al. https://doi.org/10.1016/j.jweia.2020.104332
33. Wind turbine load validation in wakes using wind field reconstruction techniques and nacelle lidar wind retrievals D. Conti et al. https://doi.org/10.5194/wes-6-841-2021
34. Robust Solution for Boundary Layer Height Detections with Coherent Doppler Wind Lidar L. Wang et al. https://doi.org/10.1007/s00376-021-1068-0
35. Simulation of urban boundary and canopy layer flows in port areas induced by different marine boundary layer inflow conditions A. Ricci et al. https://doi.org/10.1016/j.scitotenv.2019.03.230
36. Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo https://doi.org/10.5194/amt-14-1457-2021
37. Improving Large Wind Turbine Power Curve by Integrating Lidar-Measured Multiple Wind Parameters: A Coastal Case Study Y. Shi et al. https://doi.org/10.3390/en18246398
38. Inter-comparison study of wind measurement between the three-lidar-based virtual tower and four lidars using VAD techniques X. Liu et al. https://doi.org/10.1080/10095020.2024.2307930
39. Evaluation of Turbulent Energy Dissipation Rate Estimation from Doppler Lidar: Impact of Techniques and Scanning Strategies S. Baek et al. https://doi.org/10.3390/rs17050939
40. Using a Virtual Lidar Approach to Assess the Accuracy of the Volumetric Reconstruction of a Wind Turbine Wake F. Carbajo Fuertes & F. Porté-Agel https://doi.org/10.3390/rs10050721
41. Detection of Range-Folded Returns in Doppler Lidar Observations T. Bonin & W. Alan Brewer https://doi.org/10.1109/LGRS.2017.2652360
42. On the consistency of scale among experiments, theory, and simulation J. McClure et al. https://doi.org/10.5194/hess-21-1063-2017
43. Dual-Frequency Doppler LiDAR Based on External Optical Feedback Effect in a Laser Z. Chen et al. https://doi.org/10.3390/s20216303
44. Investigation of wind load on 1,000 m-high super-tall buildings based on HFFB tests B. Li et al. https://doi.org/10.1002/stc.2068
45. Assessing the potential of a commercial pulsed lidar for wind characterisation at a bridge site E. Cheynet et al. https://doi.org/10.1016/j.jweia.2016.12.002
46. Can LiDARs Replace Meteorological Masts in Wind Energy? J. Goit et al. https://doi.org/10.3390/en12193680
47. Vertical profiles of the 3-D wind velocity retrieved from multiple wind lidars performing triple range-height-indicator scans M. Debnath et al. https://doi.org/10.5194/amt-10-431-2017
48. Better turbulence spectra from velocity–azimuth display scanning wind lidar F. Kelberlau & J. Mann https://doi.org/10.5194/amt-12-1871-2019
49. Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. https://doi.org/10.5194/amt-16-433-2023
50. Squeezing turbulence statistics out of a pulsed Doppler lidar M. Manami et al. https://doi.org/10.5194/amt-18-7513-2025
51. Low-Level Wind Shear Identification along the Glide Path at BCIA by the Pulsed Coherent Doppler Lidar H. Zhang et al. https://doi.org/10.3390/atmos12010050
52. Wind Gust Measurement Techniques—From Traditional Anemometry to New Possibilities I. Suomi & T. Vihma https://doi.org/10.3390/s18041300
53. Assessing Obukhov Length and Friction Velocity from Floating Lidar Observations: A Data Screening and Sensitivity Computation Approach M. Araújo da Silva et al. https://doi.org/10.3390/rs14061394
54. Spatiotemporal modeling of wind speed fields over the Korean Peninsula using 3D-CNN and $$\beta$$-VAE for probabilistic forecasting S. Yang & J. Jeong https://doi.org/10.1007/s10651-026-00717-6
55. A Closed-Form Statistical Expression for Evaluating Wind Speed and Direction Prediction Intervals from Doppler Lidar Arc Scans T. Tzadok et al. https://doi.org/10.3390/rs18172879
56. IEA Wind Task 32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar A. Clifton et al. https://doi.org/10.3390/rs10030406
57. Wind turbine wake visualization and characteristics analysis by Doppler lidar S. Wu et al. https://doi.org/10.1364/OE.24.00A762
58. On the Feasibility of Using Large-Eddy Simulations for Real-Time Turbulent-Flow Forecasting in the Atmospheric Boundary Layer P. Bauweraerts & J. Meyers https://doi.org/10.1007/s10546-019-00428-5
59. Aeroelastic load validation in wake conditions using nacelle-mounted lidar measurements D. Conti et al. https://doi.org/10.5194/wes-5-1129-2020
60. Multilevel Validation of Doppler Wind Lidar by the 325 m Meteorological Tower in the Planetary Boundary Layer of Beijing L. Dai et al. https://doi.org/10.3390/atmos11101051
61. Laser scanning of a recirculation zone on the Bolund escarpment J. Mann et al. https://doi.org/10.1088/1742-6596/555/1/012066
62. An experimental campaign to measure turbulence in the marine boundary layer J. Mann et al. https://doi.org/10.5194/wes-11-3153-2026
63. Multi-lidar wind resource mapping in complex terrain R. Menke et al. https://doi.org/10.5194/wes-5-1059-2020
64. Impact of probe volume and peak detection methods on lidar rotor effective wind speed and turbulence intensity estimations F. Costa et al. https://doi.org/10.1088/1742-6596/2626/1/012020
65. Evaluating the impact of motion compensation on turbulence intensity measurements from continuous-wave and pulsed floating lidars W. Watson et al. https://doi.org/10.5194/wes-10-2791-2025
66. Mean wind vector estimation using the velocity–azimuth display (VAD) method: an explicit algebraic solution G. Teschke & V. Lehmann https://doi.org/10.5194/amt-10-3265-2017
67. Thundercloud structures detected and analyzed based on coherent Doppler wind lidar K. Wu et al. https://doi.org/10.5194/amt-16-5811-2023
68. Lidar-based Research and Innovation at DTU Wind Energy – a Review T. Mikkelsen https://doi.org/10.1088/1742-6596/524/1/012007
69. Combined wind lidar and cloud radar for high-resolution wind profiling J. Dias Neto et al. https://doi.org/10.5194/essd-15-769-2023
70. Comparing triple and single Doppler lidar wind measurements with sonic anemometer data based on a new filter strategy for virtual tower measurements K. Wolz et al. https://doi.org/10.5194/gi-13-205-2024
71. Estimation and characterization of the refractive index structure constant within the marine atmospheric boundary layer H. Zhang et al. https://doi.org/10.1364/AO.465463
72. Effect of Wind Transport of Turbulent Inhomogeneities on Estimation of the Turbulence Energy Dissipation Rate from Measurements by a Conically Scanning Coherent Doppler Lidar I. Smalikho & V. Banakh https://doi.org/10.3390/rs12172802
73. Lidar observations of turbulence for tall offshore wind turbines A. Patel et al. https://doi.org/10.1017/jfm.2025.11103
74. Dynamic Data Filtering of Long-Range Doppler LiDAR Wind Speed Measurements H. Beck & M. Kühn https://doi.org/10.3390/rs9060561
75. Noise filtering options for conically scanning Doppler lidar measurements with low pulse accumulation E. Päschke & C. Detring https://doi.org/10.5194/amt-17-3187-2024
76. Characteristics and Variations of Wind Fields over a Civil Airport on the Northeast Side of the Tibetan Plateau Observed by Doppler LiDAR H. Zhang et al. https://doi.org/10.3390/atmos17080803
77. Estimating the Parameters of Wind Turbulence from Spectra of Radial Velocity Measured by a Pulsed Doppler Lidar V. Banakh et al. https://doi.org/10.3390/rs13112071
78. Assessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign J. Lundquist et al. https://doi.org/10.1175/BAMS-D-15-00151.1
79. Departure from Flux-Gradient Relation in the Planetary Boundary Layer P. Santos et al. https://doi.org/10.3390/atmos12060672
80. Revelation of hidden 2D atmospheric turbulence strength fields from turbulence effects in infrared imaging Y. Wang et al. https://doi.org/10.1038/s43588-023-00498-z
81. Detecting wind turbine wakes with nacelle lidars D. Held et al. https://doi.org/10.1088/1742-6596/854/1/012020
82. Denoising coherent Doppler lidar data based on a U-Net convolutional neural network Y. Song et al. https://doi.org/10.1364/AO.506574
83. Toward improved offshore wind design: Variability of wind veer revealed by hybrid cluster analysis of lidar data Z. Shu et al. https://doi.org/10.1063/5.0283624
84. Vertical Structure of Turbulence in the Lower Atmospheric Boundary Layer above a Deciduous Forest in Complex Terrain T. Lee et al. https://doi.org/10.1016/j.agrformet.2025.110745
85. Analysis of flow in complex terrain using multi-Doppler lidar retrievals T. Bell et al. https://doi.org/10.5194/amt-13-1357-2020
86. Lidar Methods and Tools for Studying the Atmospheric Turbulence at the Institute of Atmospheric Optics V. Banakh https://doi.org/10.1134/S1024856020010042
87. An imaging-based approach to measure atmospheric turbulence https://doi.org/10.1038/s43588-023-00501-7
88. Observed aerosol‐layer depth at Station Nord in the high Arctic S. Gryning et al. https://doi.org/10.1002/joc.8027
89. Year-long buoy-based observations of the air–sea transition zone off the US west coast R. Krishnamurthy et al. https://doi.org/10.5194/essd-15-5667-2023
90. Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind Field F. Shen et al. https://doi.org/10.3390/photonics12010092
91. Characterizing the evolution of wind speed and turbulence intensity in coastal wind turbine wakes using high-resolution lidars Y. Shi et al. https://doi.org/10.1016/j.jweia.2026.106553
92. Three-dimensional structure of wind turbine wakes as measured by scanning lidar N. Bodini et al. https://doi.org/10.5194/amt-10-2881-2017
93. Can turbulence within the field of view cause significant biases in radiative transfer modeling at the 183 GHz band? X. Calbet et al. https://doi.org/10.5194/amt-11-6409-2018
94. A Review of Progress and Applications of Pulsed Doppler Wind LiDARs Z. Liu et al. https://doi.org/10.3390/rs11212522
95. A Robust Adaptive Unscented Kalman Filter for Floating Doppler Wind-LiDAR Motion Correction A. Salcedo-Bosch et al. https://doi.org/10.3390/rs13204167
96. On the Space-Time Structure of Sheared Turbulence M. de Maré & J. Mann https://doi.org/10.1007/s10546-016-0143-z
97. The spectral signature of wind turbine wake meandering: A wind tunnel and field‐scale study M. Heisel et al. https://doi.org/10.1002/we.2189
98. Improvement of vertical velocity statistics measured by a Doppler lidar through comparison with sonic anemometer observations T. Bonin et al. https://doi.org/10.5194/amt-9-5833-2016
99. Fine gust front structure observed by coherent Doppler lidar at Lanzhou Airport (103°49<i/> ′ E, 36°03<i/> ′ N) Y. Han et al. https://doi.org/10.1364/AO.384634
100. Influence of regional nighttime atmospheric regimes on canopy turbulence and gradients at a closed and open forest in mountain-valley terrain S. Wharton et al. https://doi.org/10.1016/j.agrformet.2017.01.020
101. Inversion probability enhancement of all-fiber CDWL by noise modeling and robust fitting T. Wei et al. https://doi.org/10.1364/OE.401054
102. Metasurface-enhanced light detection and ranging technology R. Juliano Martins et al. https://doi.org/10.1038/s41467-022-33450-2
103. An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain L. Pauscher et al. https://doi.org/10.3390/rs8090782
104. Wind speed reconstruction from mono-static wind lidar eliminating the effect of turbulence P. Rosenbusch et al. https://doi.org/10.1063/5.0048810
105. Frontiers of Doppler Lidar: A Review on Its Global Applications S. Nayak & I. Kanda https://doi.org/10.1002/met.70182
106. Flux-gradient relation and atmospheric wind profiles — an exploration using WRF and lidars P. Santos et al. https://doi.org/10.1088/1742-6596/1618/3/032032
107. Doppler Wind Lidar From UV to NIR: A Review With Case Study Examples M. Shangguan et al. https://doi.org/10.3389/frsen.2021.787111
108. Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. https://doi.org/10.5194/wes-8-677-2023
109. Quad-directional coaxial telescope for non-scanning common-path wind LiDAR J. Zhu et al. https://doi.org/10.1364/AO.574666
110. Proof of concept for turbulence measurements with the RPAS SUMO during the BLLAST campaign L. Båserud et al. https://doi.org/10.5194/amt-9-4901-2016
111. 3D Turbulence Measurements Using Three Synchronous Wind Lidars: Validation against Sonic Anemometry F. Fuertes et al. https://doi.org/10.1175/JTECH-D-13-00206.1
112. Measurements of wind turbulence parameters by a conically scanning coherent Doppler lidar in the atmospheric boundary layer I. Smalikho & V. Banakh https://doi.org/10.5194/amt-10-4191-2017
113. Gradient-Based Turbulence Estimates from Multicopter Profiles in the Arctic Stable Boundary Layer B. Greene et al. https://doi.org/10.1007/s10546-022-00693-x
114. Evaluation of turbulence measurement techniques from a single Doppler lidar T. Bonin et al. https://doi.org/10.5194/amt-10-3021-2017
115. On the unified estimation of turbulence eddy dissipation rate using Doppler cloud radars and lidars P. Borque et al. https://doi.org/10.1002/2015JD024543
116. Testing of an Electrooptical Unit of Fiber-Optic Pulsed Coherent Doppler Lidar LRV-2 A. Sherstobitov et al. https://doi.org/10.1134/S1024856025700629
117. Marine Mixed Layer Height Detection Using Ship-Borne Coherent Doppler Wind Lidar Based on Constant Turbulence Threshold L. Wang et al. https://doi.org/10.3390/rs14030745
118. Error Estimates of Double-Averaged Flow Statistics due to Sub-Sampling in an Irregular Canopy Model T. Duman et al. https://doi.org/10.1007/s10546-020-00601-1
119. Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. https://doi.org/10.5194/amt-16-6007-2023
120. A Methodology for the Reconstruction of 2D Horizontal Wind Fields of Wind Turbine Wakes Based on Dual-Doppler Lidar Measurements M. Van Dooren et al. https://doi.org/10.3390/rs8100809
121. Characteristics of the atmospheric boundary layer height: A perspective on turbulent motion J. Xian et al. https://doi.org/10.1016/j.scitotenv.2024.170895
122. Visual perception of wind hazards using cycloidal scanning LiDAR system G. Kim et al. https://doi.org/10.1038/s41598-025-89112-y
123. Turbulence characterization from a forward-looking nacelle lidar A. Peña et al. https://doi.org/10.5194/wes-2-133-2017
124. Demonstration of synchronised scanning Lidar measurements of 2D velocity fields in a boundary-layer wind tunnel M. van Dooren et al. https://doi.org/10.1088/1742-6596/753/7/072032
125. LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework S. Letizia et al. https://doi.org/10.5194/amt-14-2065-2021
126. A web-based GIS platform for the safe management and risk assessment of complex structural and infrastructural systems exposed to wind M. Repetto et al. https://doi.org/10.1016/j.advengsoft.2017.03.002
127. Modular wind profile retrieval software for heterogeneous Doppler lidar measurements (AtmoProKIT v1.1) A. Erdmann & P. Gasch https://doi.org/10.5194/gmd-19-2497-2026
128. Improving measurement technology for the design of sustainable cities E. Pardyjak & R. Stoll https://doi.org/10.1088/1361-6501/aa7c77
129. Directly measuring the power-law exponent and kinetic energy of atmospheric turbulence using coherent Doppler wind lidar J. Xian et al. https://doi.org/10.5194/amt-17-1837-2024
130. Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106 H. Griesche et al. https://doi.org/10.5194/amt-13-5335-2020
131. Turbulence statistics from three different nacelle lidars W. Fu et al. https://doi.org/10.5194/wes-7-831-2022
132. Investigating Suppression of Cloud Return with a Novel Optical Configuration of a Doppler Lidar L. Jin et al. https://doi.org/10.3390/rs14153576
133. 基于射频边缘滤波的多普勒测风激光雷达 吴. Wu Kenan et al. https://doi.org/10.3788/AOS241037
134. Errors in radial velocity variance from Doppler wind lidar H. Wang et al. https://doi.org/10.5194/amt-9-4123-2016