24 citations as recorded by crossref.

1. Machine learning model to accurately estimate the planetary boundary layer height of Beijing urban area with ERA5 data K. Peng et al. 10.1016/j.atmosres.2023.106925
2. Thundercloud structures detected and analyzed based on coherent Doppler wind lidar K. Wu et al. 10.5194/amt-16-5811-2023
3. 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. 10.1016/j.jastp.2024.106335
4. Turbulent parameters at different heights in the atmosphere. Shack–Hartmann wavefront sensor data A. Shikhovtsev et al. 10.12737/stp-82202203
5. High-Resolution Remote Sensing of the Gradient Richardson Number in a Megacity Boundary Layer S. Yang et al. 10.3390/rs16061075
6. 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. 10.5194/acp-24-10947-2024
7. Retrieving aerosol backscatter coefficient using coherent Doppler wind lidar T. Wei et al. 10.1364/OE.551730
8. 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. 10.1029/2023JD039141
9. Turbulent parameters at different heights in the atmosphere. Shack–Hartmann wavefront sensor data A. Shikhovtsev et al. 10.12737/szf-82202203
10. Estimating the Parameters of Wind Turbulence from Spectra of Radial Velocity Measured by a Pulsed Doppler Lidar V. Banakh et al. 10.3390/rs13112071
11. On the estimation of boundary layer heights: a machine learning approach R. Krishnamurthy et al. 10.5194/amt-14-4403-2021
12. Characterizing warm atmospheric boundary layer over land by combining Raman and Doppler lidar measurements Y. Chu et al. 10.1364/OE.451728
13. Data Processing and Analysis of Eight-Beam Wind Profile Coherent Wind Measurement Lidar Y. Zhao et al. 10.3390/rs13183549
14. Marine Mixed Layer Height Detection Using Ship-Borne Coherent Doppler Wind Lidar Based on Constant Turbulence Threshold L. Wang et al. 10.3390/rs14030745
15. Nocturnal Boundary Layer Evolution and Its Impacts on the Vertical Distributions of Pollutant Particulate Matter Y. Shi et al. 10.3390/atmos12050610
16. On Estimation of the Turbulent Mixing Layer Altitude from the Altitude-Time Distributions of the Richardson Number V. Banakh et al. 10.1134/S1024856023020033
17. Turbulence Detection in the Atmospheric Boundary Layer Using Coherent Doppler Wind Lidar and Microwave Radiometer P. Jiang et al. 10.3390/rs14122951
18. 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. 10.3390/rs16163005
19. 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. 10.1016/j.apr.2021.101310
20. Haze-day Trends from 2013 to 2020 and Analysis of Spatiotemporal Characteristics of a Haze Process in Ningbo, China L. Hu et al. 10.1088/1742-6596/2112/1/012009
21. Noise filtering options for conically scanning Doppler lidar measurements with low pulse accumulation E. Päschke & C. Detring 10.5194/amt-17-3187-2024
22. A long-term Doppler wind LiDAR study of heavy pollution episodes in western Yangtze River Delta region, China M. Wang et al. 10.1016/j.atmosres.2024.107616
23. Validation of ERA5 Boundary Layer Meteorological Variables by Remote-Sensing Measurements in the Southeast China Mountains Y. Wei et al. 10.3390/rs16030548
24. Robust Solution for Boundary Layer Height Detections with Coherent Doppler Wind Lidar L. Wang et al. 10.1007/s00376-021-1068-0