35 citations as recorded by crossref.

1. Turbulence characteristics of nonstationary wind at Gobi Desert Wind Power Cluster: A Doppler wind Lidar measurement K. Wang et al. https://doi.org/10.1063/5.0278905
2. Machine learning model to accurately estimate the planetary boundary layer height of Beijing urban area with ERA5 data K. Peng et al. https://doi.org/10.1016/j.atmosres.2023.106925
3. Thundercloud structures detected and analyzed based on coherent Doppler wind lidar K. Wu et al. https://doi.org/10.5194/amt-16-5811-2023
4. Polarization lidar observations of diurnal and seasonal variations in the atmospheric mixing layer above a tropical rural place gadanki, India V. Rajendra Kumar et al. https://doi.org/10.1016/j.jastp.2024.106335
5. Turbulent parameters at different heights in the atmosphere. Shack–Hartmann wavefront sensor data A. Shikhovtsev et al. https://doi.org/10.12737/stp-82202203
6. High-Resolution Remote Sensing of the Gradient Richardson Number in a Megacity Boundary Layer S. Yang et al. https://doi.org/10.3390/rs16061075
7. Characterizing urban planetary boundary layer dynamics using 3-year Doppler wind lidar measurements in a western Yangtze River Delta city, China T. Wei et al. https://doi.org/10.5194/amt-18-1841-2025
8. Sustenance characteristics and discriminant method of low-level jets based on coherent Doppler wind lidar Y. Liu et al. https://doi.org/10.1016/j.atmosres.2026.109070
9. Measurement report: The promotion of the low-level jet and thermal effects on the development of the deep convective boundary layer at the southern edge of the Taklimakan Desert L. Su et al. https://doi.org/10.5194/acp-24-10947-2024
10. Retrieving aerosol backscatter coefficient using coherent Doppler wind lidar T. Wei et al. https://doi.org/10.1364/OE.551730
11. A Comparative Study of Low-Level Jets in Different Climate Regions in China Using Multisite Doppler Wind Lidar Observations M. Wang et al. https://doi.org/10.1109/TGRS.2026.3672972
12. Elucidating the Impacts of Various Atmospheric Ventilation Conditions on Local and Transboundary Ozone Pollution Patterns: A Case Study of Beijing, China L. Zong et al. https://doi.org/10.1029/2023JD039141
13. 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
14. The Spatial and Temporal Variability of the Clear Convective Boundary Layer at the ARM SGP Supersite Y. Chu et al. https://doi.org/10.1007/s00376-025-5575-2
15. Turbulent parameters at different heights in the atmosphere. Shack–Hartmann wavefront sensor data A. Shikhovtsev et al. https://doi.org/10.12737/szf-82202203
16. A Robust Threshold Method of Mixed Layer Height Based on Lidar Turbulence Data Under Different Thermal Convection Conditions L. Wang et al. https://doi.org/10.1007/s10546-025-00918-9
17. 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
18. On the estimation of boundary layer heights: a machine learning approach R. Krishnamurthy et al. https://doi.org/10.5194/amt-14-4403-2021
19. Wind and turbulence evaluation of the ICON model (icon-2026.04) using Doppler lidar observations M. Ahlgrimm & E. Päschke https://doi.org/10.5194/gmd-19-8385-2026
20. Characterizing warm atmospheric boundary layer over land by combining Raman and Doppler lidar measurements Y. Chu et al. https://doi.org/10.1364/OE.451728
21. Data Processing and Analysis of Eight-Beam Wind Profile Coherent Wind Measurement Lidar Y. Zhao et al. https://doi.org/10.3390/rs13183549
22. 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
23. Nocturnal Boundary Layer Evolution and Its Impacts on the Vertical Distributions of Pollutant Particulate Matter Y. Shi et al. https://doi.org/10.3390/atmos12050610
24. On Estimation of the Turbulent Mixing Layer Altitude from the Altitude-Time Distributions of the Richardson Number V. Banakh et al. https://doi.org/10.1134/S1024856023020033
25. 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
26. 基于深度森林的遥感融合反演大气边界层高度方法 赵. Zhao Zhongxing et al. https://doi.org/10.3788/AOS241185
27. Turbulence Detection in the Atmospheric Boundary Layer Using Coherent Doppler Wind Lidar and Microwave Radiometer P. Jiang et al. https://doi.org/10.3390/rs14122951
28. Study on Daytime Atmospheric Mixing Layer Height Based on 2-Year Coherent Doppler Wind Lidar Observations at the Southern Edge of the Taklimakan Desert L. Su et al. https://doi.org/10.3390/rs16163005
29. Determination of mixing layer height from co-located lidar, ceilometer and wind Doppler lidar measurements: Intercomparison and implications for PM2.5 simulations S. Park et al. https://doi.org/10.1016/j.apr.2021.101310
30. Haze-day Trends from 2013 to 2020 and Analysis of Spatiotemporal Characteristics of a Haze Process in Ningbo, China L. Hu et al. https://doi.org/10.1088/1742-6596/2112/1/012009
31. Wind characteristics and wake effects in large-scale Gobi Desert S. Wang et al. https://doi.org/10.1016/j.measurement.2026.120818
32. 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
33. A long-term Doppler wind LiDAR study of heavy pollution episodes in western Yangtze River Delta region, China M. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107616
34. Validation of ERA5 Boundary Layer Meteorological Variables by Remote-Sensing Measurements in the Southeast China Mountains Y. Wei et al. https://doi.org/10.3390/rs16030548
35. Estimating the full-day planetary boundary layer height from lidar, AMDAR, and radiosonde observations over Beijing, China J. Hou et al. https://doi.org/10.1016/j.atmosres.2025.108701