111 citations as recorded by crossref.

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5. Wind and Turbulence Statistics in the Urban Boundary Layer over a Mountain–Valley System in Granada, Spain P. Ortiz-Amezcua et al. https://doi.org/10.3390/rs14102321
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7. Atmospheric boundary layer characteristics during severe air pollution and fog events over Delhi: Insights from ground-based Lidar, satellites, and models D. Kamat et al. https://doi.org/10.1016/j.atmosenv.2025.121684
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9. Integrated System for Atmospheric Boundary Layer Height Estimation (ISABLE) using a ceilometer and microwave radiometer J. Min et al. https://doi.org/10.5194/amt-13-6965-2020
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11. Intercomparison of planetary boundary-layer height in Mexico City as retrieved by microwave radiometer, micro-pulse lidar and radiosondes O. Osibanjo et al. https://doi.org/10.1016/j.atmosres.2022.106088
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13. Diurnal Evolution of the Wintertime Boundary Layer in Urban Beijing, China: Insights from Doppler Lidar and a 325-m Meteorological Tower Y. Yang et al. https://doi.org/10.3390/rs12233935
14. Measurement of wind profiles by motion-stabilised ship-borne Doppler lidar P. Achtert et al. https://doi.org/10.5194/amt-8-4993-2015
15. A Review of Techniques for Diagnosing the Atmospheric Boundary Layer Height (ABLH) Using Aerosol Lidar Data R. Dang et al. https://doi.org/10.3390/rs11131590
16. A new scanning scheme and flexible retrieval for mean winds and gusts from Doppler lidar measurements J. Steinheuer et al. https://doi.org/10.5194/amt-15-3243-2022
17. Retrieving Boundary Layer Height Using Doppler Wind Lidar and Microwave Radiometer in Beijing Under Varying Weather Conditions C. Liu et al. https://doi.org/10.3390/rs18020296
18. Characteristics of Planetary Boundary Layer Height (PBLH) over Shenzhen, China: Retrieval Methods and Air Pollution Conditions Y. Zhou et al. https://doi.org/10.3390/rs17243937
19. Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaign R. Heinze et al. https://doi.org/10.5194/acp-17-7083-2017
20. Frequency-Modulated Continuous-Wave Laser Source Based on Four-Wave Mixing Process in a Silicon Integrated Waveguide Doped With Reverse-Biased P-i-N Junction K. Zhai et al. https://doi.org/10.1109/JLT.2024.3433012
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22. Properties of the mixing layer height retrieved from ceilometer measurements in Slovakia and its relationship to the air pollutant concentrations D. Nguyen et al. https://doi.org/10.1007/s11356-023-30489-6
23. Summertime Urban Mixing Layer Height over Sofia, Bulgaria V. Danchovski https://doi.org/10.3390/atmos10010036
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25. Drivers of droplet formation in east Mediterranean orographic clouds R. Foskinis et al. https://doi.org/10.5194/acp-24-9827-2024
26. Observing continental boundary-layer structure and evolution over the South African savannah using a ceilometer R. Gierens et al. https://doi.org/10.1007/s00704-018-2484-7
27. Doppler lidar observations of low-level jets and wind maxima over urban complex terrain in the southeastern Iberian Peninsula J. Andújar-Maqueda et al. https://doi.org/10.1016/j.uclim.2025.102744
28. Synergistic aircraft and ground observations of transported wildfire smoke and its impact on air quality in New York City during the summer 2018 LISTOS campaign Y. Wu et al. https://doi.org/10.1016/j.scitotenv.2021.145030
29. Atmospheric boundary‐layer characteristics from ceilometer measurements. Part 1: A new method to track mixed layer height and classify clouds S. Kotthaus & C. Grimmond https://doi.org/10.1002/qj.3299
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31. Detection of Upper and Lower Planetary-Boundary Layer Curves and Estimation of Their Heights from Ceilometer Observations under All-Weather Conditions: Case of Athens, Greece H. Kambezidis et al. https://doi.org/10.3390/rs13112175
32. Estimating the urban atmospheric boundary layer height from remote sensing applying machine learning techniques G. de Arruda Moreira et al. https://doi.org/10.1016/j.atmosres.2021.105962
33. Profiling of particulate matter transport flux based on dual-wavelength lidar and ensemble learning algorithm R. Li et al. https://doi.org/10.1364/OE.522165
34. Correction of various environmental influences on Doppler wind lidar based on multiple linear regression model S. Tang et al. https://doi.org/10.1016/j.renene.2021.12.018
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37. Measurement report: Properties of aerosol and gases in the vertical profile during the LAPSE-RATE campaign D. Brus et al. https://doi.org/10.5194/acp-21-517-2021
38. Observation of heat wave effects on the urban air quality and PBL in New York City area Y. Wu et al. https://doi.org/10.1016/j.atmosenv.2019.117024
39. Evaluation of retrieval methods for planetary boundary layer height based on radiosonde data H. Li et al. https://doi.org/10.5194/amt-14-5977-2021
40. Atmosphere Boundary Layer Height (ABLH) Determination under Multiple-Layer Conditions Using Micro-Pulse Lidar R. Dang et al. https://doi.org/10.3390/rs11030263
41. Ozone pollution episodes and PBL height variation in the NYC urban and coastal areas during LISTOS 2019 Y. Wu et al. https://doi.org/10.1016/j.atmosenv.2023.120317
42. Characterization of the atmospheric boundary layer in a narrow tropical valley using remote‐sensing and radiosonde observations and the WRF model: the Aburrá Valley case‐study L. Herrera‐Mejía & C. Hoyos https://doi.org/10.1002/qj.3583
43. Thermodynamics-guided machine learning model for predicting convective boundary layer height and its multi-site applicability Y. Chu et al. https://doi.org/10.5194/acp-26-1415-2026
44. 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
45. Analysis of differences between thermodynamic and material boundary layer structure: Comparison of detection by ceilometer and microwave radiometer Y. Jiang et al. https://doi.org/10.1016/j.atmosres.2020.105179
46. 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
47. Impact of mixing layer height on air quality in winter B. Murthy et al. https://doi.org/10.1016/j.jastp.2019.105157
48. Variability of the Boundary Layer Over an Urban Continental Site Based on 10 Years of Active Remote Sensing Observations in Warsaw D. Wang et al. https://doi.org/10.3390/rs12020340
49. Study of the planetary boundary layer height in an urban environment using a combination of microwave radiometer and ceilometer G. Moreira et al. https://doi.org/10.1016/j.atmosres.2020.104932
50. Study of the planetary boundary layer by microwave radiometer, elastic lidar and Doppler lidar estimations in Southern Iberian Peninsula G. de Arruda Moreira et al. https://doi.org/10.1016/j.atmosres.2018.06.007
51. Observations of the Morning Development of the Urban Boundary Layer Over London, UK, Taken During the ACTUAL Project C. Halios & J. Barlow https://doi.org/10.1007/s10546-017-0300-z
52. The spatial representativeness of mixing layer height observations in the North China Plain X. Zhu et al. https://doi.org/10.1016/j.atmosres.2018.03.019
53. Ceilometer evaluation of the eastern Mediterranean summer boundary layer height – first study of two Israeli sites L. Uzan et al. https://doi.org/10.5194/amt-9-4387-2016
54. Si Photonics FMCW LiDAR Chip with Solid-State Beam Steering by Interleaved Coaxial Optical Phased Array Y. Lei et al. https://doi.org/10.3390/mi14051001
55. Novel Method for Determining the Height of the Stable Boundary Layer under Low-Level Jet by Judging the Shape of the Wind Velocity Variance Profile J. Xian et al. https://doi.org/10.3390/rs15143638
56. Impact of emission controls on air quality in Beijing during APEC 2014: lidar ceilometer observations G. Tang et al. https://doi.org/10.5194/acp-15-12667-2015
57. Introduction of Ground-based Remote Sensing and Applications for Air Quality Monitoring S. Park et al. https://doi.org/10.5572/KOSAE.2025.41.2.254
58. Improved retrieval of cloud base heights from ceilometer using a non-standard instrument method Y. Wang et al. https://doi.org/10.1016/j.atmosres.2017.11.021
59. Assessment of mixed-layer height estimation from single-wavelength ceilometer profiles T. Knepp et al. https://doi.org/10.5194/amt-10-3963-2017
60. Nocturnal Boundary Layer Height Uncertainty in Particulate Matter Simulations during the KORUS-AQ Campaign H. Lee et al. https://doi.org/10.3390/rs15020300
61. Frequency-Modulated Continuous-Wave LIDAR and 3D Imaging by Using Linear Frequency Modulation Based on Injection Locking Y. Dong et al. https://doi.org/10.1109/JLT.2021.3050772
62. Dual-polarization beam steering with a low-loss reconfigurable Sb2Se3-based metasurface L. Chen et al. https://doi.org/10.1364/OL.571777
63. The HD(CP)2 Observational Prototype Experiment (HOPE) – an overview A. Macke et al. https://doi.org/10.5194/acp-17-4887-2017
64. Volume for pollution dispersion: London's atmospheric boundary layer during ClearfLo observed with two ground-based lidar types S. Kotthaus et al. https://doi.org/10.1016/j.atmosenv.2018.06.042
65. On the application and grid-size sensitivity of the urban dispersion model CAIRDIO v2.0 under real city weather conditions M. Weger et al. https://doi.org/10.5194/gmd-15-3315-2022
66. Mixing Layer Height Retrievals From MiniMPL Measurements in the Chiang Mai Valley: Implications for Particulate Matter Pollution R. Solanki et al. https://doi.org/10.3389/feart.2019.00308
67. Year-long variability of the mixing layer height at an urban Mediterranean location and association with air pollution levels K. Petrinoli et al. https://doi.org/10.1016/j.apr.2025.102612
68. Mixed layer height retrievals using MicroPulse Differential Absorption Lidar L. Colberg et al. https://doi.org/10.5194/amt-18-6069-2025
69. 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
70. The Planetary Boundary Layer Height Climatology Over Oceans Using COSMIC-2 and Spire GNSS RO Bending Angles From 2019 to 2023: Comparisons to CALIOP, ERA-5, MERRA2, and CFS Reanalysis S. Ho et al. https://doi.org/10.1109/TGRS.2024.3503418
71. Deep-Pathfinder: a boundary layer height detection algorithm based on image segmentation J. Wijnands et al. https://doi.org/10.5194/amt-17-3029-2024
72. The Influence of the Planetary Boundary Layer on the Atmospheric State at an Orographic Site at the Eastern Mediterranean R. Foskinis et al. https://doi.org/10.16993/tellusb.1876
73. Coherent heterodyne FMCW lidar based on combined single/double sideband modulation detection technology R. Zhang et al. https://doi.org/10.1016/j.infrared.2024.105181
74. Adaptive Estimation of the Stable Boundary Layer Height Using Combined Lidar and Microwave Radiometer Observations U. Saeed et al. https://doi.org/10.1109/TGRS.2016.2586298
75. Estimation of the height of the turbulent mixing layer from data of Doppler lidar measurements using conical scanning by a probe beam V. Banakh et al. https://doi.org/10.5194/amt-14-1511-2021
76. Mixing layer height and its implications for air pollution over Beijing, China G. Tang et al. https://doi.org/10.5194/acp-16-2459-2016
77. Simulating the Weekly Cycle of NOx‐VOC‐HOx‐O3 Photochemical System in the South Coast of California During CalNex‐2010 Campaign C. Cai et al. https://doi.org/10.1029/2018JD029859
78. Atmospheric-Boundary-Layer-Height Variation over Mountainous and Urban Sites in Beijing as Derived from Radar Wind-Profiler Measurements R. Solanki et al. https://doi.org/10.1007/s10546-021-00639-9
79. A Ceilometer-Derived Climatology of the Convective Boundary Layer Over a Southern Hemisphere Subtropical City H. Marley et al. https://doi.org/10.1007/s10546-020-00579-w
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82. PBL Height Retrievals at a Coastal Site Using Multi-Instrument Profiling Methods I. Tsikoudi et al. https://doi.org/10.3390/rs14164057
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91. Forcing mechanisms governing diurnal, seasonal, and interannual variability in the boundary layer depths: Five years of continuous lidar observations over a suburban site near Paris S. Pal & M. Haeffelin https://doi.org/10.1002/2015JD023268
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96. Life cycle of stratocumulus clouds over 1 year at the coast of the Atacama Desert J. Schween et al. https://doi.org/10.5194/acp-22-12241-2022
97. Mobile Observations of Ozone and Aerosols in Alabama: Southeastern US Summer Pollution and Coastal Variability S. Kuang et al. https://doi.org/10.1029/2023JD039514
98. Mixing layer height on the North China Plain and meteorological evidence of serious air pollution in southern Hebei X. Zhu et al. https://doi.org/10.5194/acp-18-4897-2018
99. A novel post-processing algorithm for Halo Doppler lidars V. Vakkari et al. https://doi.org/10.5194/amt-12-839-2019
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101. A multi-instrument fuzzy logic boundary-layer-top detection algorithm E. Smith & J. Carlin https://doi.org/10.5194/amt-17-4087-2024
102. Biological and dust aerosols as sources of ice-nucleating particles in the eastern Mediterranean: source apportionment, atmospheric processing and parameterization K. Gao et al. https://doi.org/10.5194/acp-24-9939-2024
103. Ground-Based Measurements of Wind and Turbulence at Bucharest–Măgurele: First Results R. Pîrloagă et al. https://doi.org/10.3390/rs15061514
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107. How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al. https://doi.org/10.1175/BAMS-D-17-0231.1
108. Boundary Layer Height Characteristics in Mexico City from Two Remote Sensing Techniques A. Burgos-Cuevas et al. https://doi.org/10.1007/s10546-022-00759-w
109. Doppler Lidar Observations of the Mixing Height in Indianapolis Using an Automated Composite Fuzzy Logic Approach T. Bonin et al. https://doi.org/10.1175/JTECH-D-17-0159.1
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