96 citations as recorded by crossref.

1. Long-Term Trends in Marine Boundary Layer Properties over the Atlantic Ocean J. Díaz et al. https://doi.org/10.1175/JCLI-D-18-0219.1
2. Boundary layer dynamics after rain fronts: high-resolution reconstruction and model validation using ground- and drone-based measurements L. Moormann et al. https://doi.org/10.5194/acp-26-8455-2026
3. Satellite-Based Air Pollution Potential Climatology over India H. Kannemadugu et al. https://doi.org/10.1007/s11270-021-05324-8
4. Mixing-layer-height-referenced ozone vertical distribution in the lower troposphere of Chinese megacities: stratification, classification, and meteorological and photochemical mechanisms Z. Liao et al. https://doi.org/10.5194/acp-24-3541-2024
5. High gaseous carbonyl concentrations in the upper boundary layer in Shijiazhuang, China Y. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.149438
6. Determination of Planetary Boundary Layer height with Lidar Signals Using Maximum Limited Height Initialization and Range Restriction (MLHI-RR) T. Zhong et al. https://doi.org/10.3390/rs12142272
7. Effect of a cold, dry air incursion on atmospheric boundary layer processes over a high-altitude lake in the Tibetan Plateau Z. Li et al. https://doi.org/10.1016/j.atmosres.2016.10.024
8. Quantification of CO2 and CH4 emissions over Sacramento, California, based on divergence theorem using aircraft measurements J. Ryoo et al. https://doi.org/10.5194/amt-12-2949-2019
9. Pollution transport and transformation over the Po Plain as revealed by airborne and ground-based measurements in July 2017 during EMeRGe C. Civale et al. https://doi.org/10.5194/acp-26-9827-2026
10. SODAR Based Meteorological Sensor Network for Air Pollution Monitoring in Northern India P. Chourey et al. https://doi.org/10.1007/s12647-022-00569-y
11. In Situ Evidence of Low-Level Atmospheric Responses to the Oyashio Front in Early Spring Y. KAWAI et al. https://doi.org/10.2151/jmsj.2019-024
12. Comparison of mixing layer heights determined using LiDAR, radiosonde, and numerical weather prediction model at a rural site in southern India R. Vishnu et al. https://doi.org/10.1080/01431161.2017.1354264
13. Cloud-top temperature inversion derived from long-term radiosonde measurements at the ARM TWP and NSA sites J. Zhang https://doi.org/10.1016/j.atmosres.2020.105113
14. Spatial variability of non-summer daytime boundary layer height over the Israeli coastal-mountain-valley topography reveals unique shallow boundary layer winter events S. Berkovic https://doi.org/10.1007/s42865-024-00088-5
15. 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
16. Contribution of Atmospheric Diffusion Conditions to the Recent Improvement in Air Quality in China X. Wang et al. https://doi.org/10.1038/srep36404
17. Vertical profiles of black carbon and nanoparticles pollutants measured by a tethered balloon in Longyearbyen (Svalbard islands) D. Cappelletti et al. https://doi.org/10.1016/j.atmosenv.2022.119373
18. Integrating satellite-based atmospheric soundings and machine learning to correct radiosonde temperature biases F. Mashao et al. https://doi.org/10.1016/j.jastp.2026.106803
19. Estimation of Sensible Heat Flux and Atmospheric Boundary Layer Height Using an Unmanned Aerial Vehicle M. Kim & B. Kwon https://doi.org/10.3390/atmos10070363
20. 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
21. Surface-based nocturnal air temperature inversions in southern Poland and their influence on PM10 and PM2.5 concentrations in Upper Silesia T. Niedźwiedź et al. https://doi.org/10.1007/s00704-021-03752-4
22. Estimation of Boundary Layer Height From Radar Wind Profiler by Deep Learning Algorithms Z. Tong et al. https://doi.org/10.1109/TGRS.2024.3434403
23. Identification of the atmospheric boundary layer structure through vertical distribution of PM2.5 obtained by unmanned aerial vehicle measurements Y. Jiang et al. https://doi.org/10.1016/j.atmosenv.2022.119084
24. Spatiotemporal trends in ground-level ozone concentrations and metrics in France over the time period 1999–2012 P. Sicard et al. https://doi.org/10.1016/j.envres.2016.05.014
25. Relationships between Vertical Temperature Gradients and PM10 Concentrations during Selected Weather Conditions in Upper Silesia (Southern Poland) E. Łupikasza & T. Niedźwiedź https://doi.org/10.3390/atmos13010125
26. Vertically decreased VOC concentration and reactivity in the planetary boundary layer in winter over the North China Plain S. Wu et al. https://doi.org/10.1016/j.atmosres.2020.104930
27. Characterizing the effect of traffic density on ambient CO, NO2, and PM2.5 in Tehran, Iran: an hourly land-use regression model S. Hassanpour Matikolaei et al. https://doi.org/10.1080/19427867.2017.1385201
28. Health Impact Assessment of Air Pollution under a Climate Change Scenario: Methodology and Case Study Application S. Coelho et al. https://doi.org/10.3390/su142114309
29. Assessment of health hazardous particulate matter (PM2.5) from artificial neural network using meteorological and pollutant parameters T. Gaurav & N. Srivastava https://doi.org/10.1007/s00704-024-05344-4
30. Estimation of planetary boundary layer height using Suomi NPP-CrIS soundings S. Prijith et al. https://doi.org/10.1080/2150704X.2016.1171921
31. 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
32. Influence of Mixing Layer Height on Air Pollution in the City of Zagreb, Croatia I. Bešlić et al. https://doi.org/10.3390/cli14070133
33. Long-term variation of boundary layer height and possible contribution factors: A global analysis Y. Li et al. https://doi.org/10.1016/j.scitotenv.2021.148950
34. 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
35. Observational evidence for pollution‐influenced selective uptake contributing to biogenic secondary organic aerosols in the southeastern U.S. J. Liu et al. https://doi.org/10.1002/2017GL074665
36. Application of DIAL/HSRL and CATCH algorithm-based methodologies for surface PM2.5 concentrations during the KORUS-AQ campaign B. Sutherland et al. https://doi.org/10.1016/j.atmosenv.2023.119719
37. 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
38. The contribution of atmospheric particulate matter to the formation of CX3R-type disinfection by-products in rainwater during chlorination M. Hou et al. https://doi.org/10.1016/j.watres.2018.08.047
39. Nocturnal Boundary Layer Erosion Analysis in the Amazon Using Large-Eddy Simulation during GoAmazon Project 2014/5 R. Carneiro et al. https://doi.org/10.3390/atmos12020240
40. Integrating continuous atmospheric boundary layer and tower-based flux measurements to advance understanding of land-atmosphere interactions M. Helbig et al. https://doi.org/10.1016/j.agrformet.2021.108509
41. Boundary Layer Height and Trends over the Tarim Basin A. Salam et al. https://doi.org/10.3390/atmos15050541
42. Estimations of indirect and direct anthropogenic dust emission at the global scale S. Chen et al. https://doi.org/10.1016/j.atmosenv.2018.11.063
43. On the Summertime Planetary Boundary Layer with Different Thermodynamic Stability in China: A Radiosonde Perspective W. Zhang et al. https://doi.org/10.1175/JCLI-D-17-0231.1
44. 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
45. A few important features of global atmospheric boundary layer heights estimated using COSMIC radio occultation retrieved data P. Brahmanandam et al. https://doi.org/10.1007/s12648-019-01514-7
46. Anatomy of the March 2016 severe ozone smog episode in Mexico-City O. Osibanjo et al. https://doi.org/10.1016/j.atmosenv.2020.117945
47. Association of atmospheric pollution and instability indices: A detailed investigation over an Indian urban metropolis R. Chakraborty et al. https://doi.org/10.1016/j.atmosres.2017.04.033
48. 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
49. Long-term measurements of planetary boundary layer height and interactions with PM2.5 in Shanghai, China L. Pan et al. https://doi.org/10.1016/j.apr.2019.01.007
50. Significant decline in aerosols in the mixing layer in Beijing from 2015 to 2020: Effects of regional coordinated air pollution control Z. Zhu et al. https://doi.org/10.1016/j.scitotenv.2022.156364
51. 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
52. Black carbon in different climatic seasons of the Brahmaputra River Valley of Northeast India – Field measurements at two different heights and analysis A. Chaudhury et al. https://doi.org/10.1016/j.apr.2022.101327
53. On the association between characteristics of the atmospheric boundary layer and air pollution concentrations . Yuval et al. https://doi.org/10.1016/j.atmosres.2019.104675
54. Measurement report: Aerosol vertical profiles over the western North Atlantic Ocean during the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) F. Gallo et al. https://doi.org/10.5194/acp-23-1465-2023
55. Comparisons of upper air ozone at a coastal and urban site and the impacts of non-controllable ozone sources C. Gore & S. Chiao https://doi.org/10.1016/j.aeaoa.2020.100085
56. Aerosol and monsoon climate interactions over Asia Z. Li et al. https://doi.org/10.1002/2015RG000500
57. On the Impact of Unmanned Aerial System Observations on Numerical Weather Prediction in the Coastal Zone D. Flagg et al. https://doi.org/10.1175/MWR-D-17-0028.1
58. An ensemble method for improving the estimation of planetary boundary layer height from radiosonde data X. Chen et al. https://doi.org/10.5194/amt-16-4289-2023
59. PM2.5 Pollution in China and How It Has Been Exacerbated by Terrain and Meteorological Conditions X. Wang et al. https://doi.org/10.1175/BAMS-D-16-0301.1
60. 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
61. Vertical Profiles of PM2.5 and O3 Measured Using an Unmanned Aerial Vehicle (UAV) and Their Relationships with Synoptic- and Local-Scale Air Movements H. Hwang et al. https://doi.org/10.3390/rs16091581
62. Observations of ambient trace gas and PM 10 concentrations at Patna, Central Ganga Basin during 2013–2014: The influence of meteorological variables on atmospheric pollutants S. Tiwari et al. https://doi.org/10.1016/j.atmosres.2016.05.017
63. Effect of seasonal mesoscale and microscale meteorological conditions in Ny-Ålesund on results of monitoring of long-range transported pollution A. Dekhtyareva et al. https://doi.org/10.1080/17518369.2018.1508196
64. 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
65. How the new climate scenarios will affect air quality trends: An exploratory research S. Coelho et al. https://doi.org/10.1016/j.uclim.2023.101479
66. Simulation of Urban Growth and Urban Living Environment with Release of the Green Belt S. Jeon et al. https://doi.org/10.3390/su10093260
67. Factors influencing the boundary layer height and their relationship with air quality in the Sichuan Basin, China B. Cao et al. https://doi.org/10.1016/j.scitotenv.2020.138584
68. Surface radioactivity influences on atmospheric electricity during stable boundary layer conditions K. Nicoll et al. https://doi.org/10.1016/j.atmosres.2026.109237
69. Summertime Urban Mixing Layer Height over Sofia, Bulgaria V. Danchovski https://doi.org/10.3390/atmos10010036
70. Identification of atmospheric boundary layer height and trends over Iran using high-resolution ECMWF reanalysis dataset M. Darand & F. Zandkarimi https://doi.org/10.1007/s00704-018-2691-2
71. Performance Analysis of Planetary Boundary Layer Parameterization Schemes in WRF Modeling Set Up over Southern Italy B. Tyagi et al. https://doi.org/10.3390/atmos9070272
72. Observational study of atmospheric boundary layer height in Hong Kong based on 20-year multi-source measurements Y. Xue et al. https://doi.org/10.1016/j.atmosres.2025.108499
73. QG–DL–Ekman: Dynamics of a Diabatic Layer in the Quasi-Geostrophic Framework R. Klein et al. https://doi.org/10.1175/JAS-D-21-0110.1
74. Assessment of satellite-based aerosol optical depth using continuous lidar observation C. Lin et al. https://doi.org/10.1016/j.atmosenv.2016.06.012
75. Vertical distribution of aerosol extinction coefficients at night derived from radiometry of scattered laser light M. Kocifaj et al. https://doi.org/10.1016/j.atmosenv.2023.119599
76. Estimating Daytime Planetary Boundary Layer Heights over a Valley from Rawinsonde Observations at a Nearby Airport: An Application to the Page Valley in Virginia, United States T. Lee & S. De Wekker https://doi.org/10.1175/JAMC-D-15-0300.1
77. Investigation of the atmospheric boundary layer characteristics over a high altitude station in North East India using measurements and reanalysis datasets M. Gogoi et al. https://doi.org/10.1007/s00704-024-04997-5
78. Effects of Boundary Layer Height on the Model of Ground-Level PM2.5 Concentrations from AOD: Comparison of Stable and Convective Boundary Layer Heights from Different Methods Z. Zang et al. https://doi.org/10.3390/atmos8060104
79. Mixing layer height and slope wind oscillation: Factors that control ambient air SO2 in a tropical mountain city A. Cuesta-Mosquera et al. https://doi.org/10.1016/j.scs.2019.101852
80. Estimation of Planetary Boundary Layer Height From Lidar by Combining Gradient Method and Machine Learning Algorithms H. Li et al. https://doi.org/10.1109/TGRS.2023.3329122
81. Planetary boundary layer height by means of lidar and numerical simulations over New Delhi, India K. Nakoudi et al. https://doi.org/10.5194/amt-12-2595-2019
82. On the Potential of 25 Years (1991–2015) of Rawinsonde Measurements for Elucidating Climatological and Spatiotemporal Patterns of Afternoon Boundary Layer Depths over the Contiguous US T. Lee & S. Pal https://doi.org/10.1155/2017/6841239
83. Multiscale Variability of the Atmospheric Boundary Layer during DYNAMO R. Johnson & P. Ciesielski https://doi.org/10.1175/JAS-D-17-0182.1
84. A climatological view of the vertical stratification of RH, O3 and CO within the PBL and at the interface with free troposphere as seen by IAGOS aircraft and ozonesondes at northern mid-latitudes over 1994–2016 H. Petetin et al. https://doi.org/10.5194/acp-18-9561-2018
85. Using Observational and Reanalysis Data to Explore the Southern Gulf of California Boundary Layer During the North American Monsoon Onset M. Fonseca‐Hernandez et al. https://doi.org/10.1029/2020JD033508
86. Meteorological factor contributions to the seesaw concentration pattern between PM2.5 and O3 in Shanghai Y. Sun & X. Wang https://doi.org/10.3389/fenvs.2022.1015723
87. Temperature-constrained lidar retrieval of planetary boundary layer height over Chiang Mai, Thailand R. Macatangay et al. https://doi.org/10.5194/amt-18-4347-2025
88. Self‐organizing map classification of the boundary layer profile: A refinement of Eastern Mediterranean winter synoptic regimes S. Berkovic et al. https://doi.org/10.1002/joc.7021
89. Weather research and forecasting model simulations over the Pearl River Delta Region D. Lopes et al. https://doi.org/10.1007/s11869-018-0636-7
90. A new algorithm for planetary boundary layer height calculation based on multilayer recognition Y. Pan et al. https://doi.org/10.1016/j.atmosenv.2021.118919
91. Variability and Influencing Factors of the Convective Boundary Layer Height Over the Tibetan Plateau Y. Dai et al. https://doi.org/10.1007/s13143-025-00402-x
92. How changing climate may influence air pollution control strategies for 2030? S. Coelho et al. https://doi.org/10.1016/j.scitotenv.2020.143911
93. Four Years of Atmospheric Boundary Layer Height Retrievals Using COSMIC-2 Satellite Data G. Garnés-Morales et al. https://doi.org/10.3390/rs16091632
94. Elevated foehn exacerbates surface ozone pollution in summer Beijing Z. Liao et al. https://doi.org/10.5194/acp-26-9453-2026
95. A dense gas dispersion model based on revised meteorological parameters and its performance evaluation J. He et al. https://doi.org/10.1016/j.atmosenv.2020.117953
96. A Climatology of Merged Daytime Planetary Boundary Layer Height Over China From Radiosonde Measurements J. Zhang et al. https://doi.org/10.1029/2021JD036367