55 citations as recorded by crossref.

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3. 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
4. The impacts of the atmospheric boundary layer on regional haze in North China Q. Li et al. https://doi.org/10.1038/s41612-021-00165-y
5. Is There a Classical Inertial Sublayer Over the Amazon Forest? C. Dias‐Júnior et al. https://doi.org/10.1029/2019GL083237
6. Vertical Distribution Characteristics and Formation/Dissipation Mechanisms of Air Pollutants in Xingtai, China Based on Multi-source Data: A Case Study Q. Jiang et al. https://doi.org/10.1007/s10546-025-00900-5
7. 华北平原霾污染天气大气边界层空间结构综合观测——COATS实验 倩. 李 et al. https://doi.org/10.1360/SSTe-2022-0310
8. 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
9. Trends of Planetary Boundary Layer Height Over Urban Cities of China From 1980–2018 Y. Huo et al. https://doi.org/10.3389/fenvs.2021.744255
10. Research Progress on Estimation of the Atmospheric Boundary Layer Height H. Zhang et al. https://doi.org/10.1007/s13351-020-9910-3
11. Tailored Algorithms for the Detection of the Atmospheric Boundary Layer Height from Common Automatic Lidars and Ceilometers (ALC) S. Kotthaus et al. https://doi.org/10.3390/rs12193259
12. 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
13. Vertical distribution of PM2.5 and interactions with the atmospheric boundary layer during the development stage of a heavy haze pollution event C. Liu et al. https://doi.org/10.1016/j.scitotenv.2019.135329
14. 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
15. Land-atmosphere coupling characteristics in summer based on microwave radiometer data at Nagqu site of Tibetan Plateau G. Wang et al. https://doi.org/10.1016/j.atmosres.2025.108074
16. 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
17. Mixed layer height retrievals using MicroPulse Differential Absorption Lidar L. Colberg et al. https://doi.org/10.5194/amt-18-6069-2025
18. 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
19. Determination and climatology of the planetary boundary layer height above the Swiss plateau by in situ and remote sensing measurements as well as by the COSMO-2 model M. Collaud Coen et al. https://doi.org/10.5194/acp-14-13205-2014
20. Multiple technical observations of the atmospheric boundary layer structure of a red-alert haze episode in Beijing Y. Shi et al. https://doi.org/10.5194/amt-12-4887-2019
21. Investigation of the Mixing Height in the Planetary Boundary Layer by Using Sodar and Microwave Radiometer Data S. Odintsov et al. https://doi.org/10.3390/environments8110115
22. Improved two-wavelength Lidar algorithm for retrieving atmospheric boundary layer height B. Liu et al. https://doi.org/10.1016/j.jqsrt.2018.11.003
23. Understanding the Major Impact of Planetary Boundary Layer Schemes on Simulation of Vertical Wind Structure L. Zhang et al. https://doi.org/10.3390/atmos12060777
24. Random Sample Fitting Method to Determine the Planetary Boundary Layer Height Using Satellite-Based Lidar Backscatter Profiles L. Du et al. https://doi.org/10.3390/rs12234006
25. Investigation of the Planetary Boundary Layer in the Swiss Alps Using Remote Sensing and In Situ Measurements C. Ketterer et al. https://doi.org/10.1007/s10546-013-9897-8
26. 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
27. Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform L. Mei et al. https://doi.org/10.1364/OE.454094
28. Simulated impacts of vertical distributions of black carbon aerosol on meteorology and PM2.5 concentrations in Beijing during severe haze events D. Chen et al. https://doi.org/10.5194/acp-22-1825-2022
29. 结合UNet++与SimAM注意力机制的北极大气边界层高度反演方法 陈. Chen Junjie et al. https://doi.org/10.3788/AOS250862
30. Inversion of the planetary boundary layer height from lidar by combining UNet++ and coordinate attention mechanism J. Chen et al. https://doi.org/10.1364/OE.542885
31. 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
32. Seasonal characteristics of boundary layer over a high-altitude rural site in Western India: implications on dispersal of particulate matter M. Aslam et al. https://doi.org/10.1007/s11356-021-13163-7
33. Application of Convective Condensation Level Limiter in Convective Boundary Layer Height Retrieval Based on Lidar Data H. Li et al. https://doi.org/10.3390/atmos8040079
34. Determination of boundary layer top on the basis of the characteristics of atmospheric particles B. Liu et al. https://doi.org/10.1016/j.atmosenv.2018.01.054
35. COATS: Comprehensive observation on the atmospheric boundary layer three-dimensional structure during haze pollution in the North China Plain Q. Li et al. https://doi.org/10.1007/s11430-022-1092-y
36. Diurnal variation in the near-global planetary boundary layer height from satellite-based CATS lidar: Retrieval, evaluation, and influencing factors Y. Li et al. https://doi.org/10.1016/j.rse.2023.113847
37. Improved estimation of diurnal variations in near-global PBLH through a hybrid WCT and transfer learning approach Y. Li et al. https://doi.org/10.5194/amt-19-1059-2026
38. Ceilometer-Based Analysis of Shanghai’s Boundary Layer Height (under Rain- and Fog-Free Conditions) J. Peng et al. https://doi.org/10.1175/JTECH-D-16-0132.1
39. Mixing layer height retrievals by multichannel microwave radiometer observations D. Cimini et al. https://doi.org/10.5194/amt-6-2941-2013
40. An Automated Common Algorithm for Planetary Boundary Layer Retrievals Using Aerosol Lidars in Support of the U.S. EPA Photochemical Assessment Monitoring Stations Program V. Caicedo et al. https://doi.org/10.1175/JTECH-D-20-0050.1
41. Evaluation of the Planetary Boundary Layer Height in China Predicted by the CMA-GFS Global Model H. Long et al. https://doi.org/10.3390/atmos13050845
42. Homogenized Variability of Radiosonde-Derived Atmospheric Boundary Layer Height over the Global Land Surface from 1973 to 2014 X. Wang & K. Wang https://doi.org/10.1175/JCLI-D-15-0766.1
43. A Cluster Analysis Approach for Nocturnal Atmospheric Boundary Layer Height Estimation from Multi-Wavelength Lidar Z. Zhu et al. https://doi.org/10.3390/atmos14050847
44. Analyzing the atmospheric boundary layer using high-order moments obtained from multiwavelength lidar data: impact of wavelength choice G. de Arruda Moreira et al. https://doi.org/10.5194/amt-12-4261-2019
45. Evaluating the Governing Factors of Variability in Nocturnal Boundary Layer Height Based on Elastic Lidar in Wuhan W. Wang et al. https://doi.org/10.3390/ijerph13111071
46. Ceilometers as planetary boundary layer height detectors and a corrective tool for COSMO and IFS models L. Uzan et al. https://doi.org/10.5194/acp-20-12177-2020
47. Aerosol and cloud properties over a coastal area from aircraft observations in Zhejiang, China Y. Che et al. https://doi.org/10.1016/j.atmosenv.2021.118771
48. Performance assessment of aerosol-lidar remote sensing skills to retrieve the time evolution of the urban boundary layer height in the Metropolitan Region of São Paulo City, Brazil G. Moreira et al. https://doi.org/10.1016/j.atmosres.2022.106290
49. A Comparison of Wintertime Atmospheric Boundary Layer Heights Determined by Tethered Balloon Soundings and Lidar at the Site of SACOL M. Zhang et al. https://doi.org/10.3390/rs13091781
50. Two-wavelength Lidar inversion algorithm for determining planetary boundary layer height B. Liu et al. https://doi.org/10.1016/j.jqsrt.2017.11.008
51. A new methodology for PBL height estimations based on lidar depolarization measurements: analysis and comparison against MWR and WRF model-based results J. Bravo-Aranda et al. https://doi.org/10.5194/acp-17-6839-2017
52. Characteristics of aerosols and planetary boundary layer dynamics during biomass burning season M. Shahid et al. https://doi.org/10.1007/s11069-025-07295-z
53. Study of mineral dust entrainment in the planetary boundary layer by lidar depolarisation technique J. Bravo-Aranda et al. https://doi.org/10.3402/tellusb.v67.26180
54. Detection of the planetary boundary layer height by employing the Scheimpflug lidar technique and the covariance wavelet transform method L. Mei et al. https://doi.org/10.1364/AO.58.008013
55. Study of boundary layer parameterization simulation uncertainties of sand-dust storm windfield using high-resolution three-dimensional Doppler wind lidar data L. Zhang et al. https://doi.org/10.1016/j.atmosres.2024.107456