77 citations as recorded by crossref.

1. Air Pollutants in an Intermediate City: Variability and Interactions with Weather and Anthropogenic Elements in Bahía Blanca, Argentina M. Fernández et al. 10.1007/s40710-021-00502-6
2. Observational analysis of the daily cycle of the planetary boundary layer in the central Amazon during a non-El Niño year and El Niño year (GoAmazon project 2014/5) R. Carneiro & G. Fisch 10.5194/acp-20-5547-2020
3. Secondary aerosol formation promotes water uptake by organic-rich wildfire haze particles in equatorial Asia J. Chen et al. 10.5194/acp-18-7781-2018
4. Relationships between the planetary boundary layer height and surface pollutants derived from lidar observations over China: regional pattern and influencing factors T. Su et al. 10.5194/acp-18-15921-2018
5. Determination and climatology of the diurnal cycle of the atmospheric mixing layer height over Beijing 2013–2018: lidar measurements and implications for air pollution H. Wang et al. 10.5194/acp-20-8839-2020
6. The spatial representativeness of mixing layer height observations in the North China Plain X. Zhu et al. 10.1016/j.atmosres.2018.03.019
7. Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. 10.5194/amt-16-433-2023
8. Top–down quantification of NO<sub><i>x</i></sub> emissions from traffic in an urban area using a high-resolution regional atmospheric chemistry model F. Kuik et al. 10.5194/acp-18-8203-2018
9. Mixing layer height estimated from AMDAR and its relationship with PMs and meteorological parameters in two cities in North China during 2014–2017 Z. Lv et al. 10.1016/j.apr.2019.11.017
10. Evaluation of PBL Parameterization Schemes in WRF Model Predictions during the Dry Season of the Central Amazon Basin J. Mantovani Júnior et al. 10.3390/atmos14050850
11. Observation of Turbulent Mixing Characteristics in the Typical Daytime Cloud-Topped Boundary Layer over Hong Kong in 2019 T. Huang et al. 10.3390/rs12091533
12. Characterization, source apportionment, air/plant partitioning and cancer risk assessment of atmospheric PAHs measured with tree components and passive air sampler M. Sari et al. 10.1016/j.envres.2020.110508
13. Mixing layer height on the North China Plain and meteorological evidence of serious air pollution in southern Hebei X. Zhu et al. 10.5194/acp-18-4897-2018
14. An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10 R. Stirnberg et al. 10.3390/rs10091353
15. Meteorology-driven variability of air pollution (PM<sub>1</sub>) revealed with explainable machine learning R. Stirnberg et al. 10.5194/acp-21-3919-2021
16. Properties of the mixing layer height retrieved from ceilometer measurements in Slovakia and its relationship to the air pollutant concentrations D. Nguyen et al. 10.1007/s11356-023-30489-6
17. Prediction of daily fine particulate matter (PM2.5) concentration in Aksaray, Turkey: Temporal variation, meteorological dependence, and employing artificial neural network E. Koçak 10.1002/ep.14355
18. Different approaches to explore the impact of COVID-19 lockdowns on carbonaceous aerosols at a European rural background site S. Mbengue et al. 10.1016/j.scitotenv.2023.164527
19. Study of Planetary Boundary Layer, Air Pollution, Air Quality Models and Aerosol Transport Using Ceilometers in New South Wales (NSW), Australia H. Duc et al. 10.3390/atmos13020176
20. Impact of vegetative emissions on urban ozone and biogenic secondary organic aerosol: Box model study for Berlin, Germany B. Bonn et al. 10.1016/j.jclepro.2017.12.164
21. Mixing layer transport flux of particulate matter in Beijing, China Y. Liu et al. 10.5194/acp-19-9531-2019
22. Recent spatial gradients and time trends in Dhaka, Bangladesh, air pollution and their human health implications M. Rahman et al. 10.1080/10962247.2018.1548388
23. Analysis of short-term air quality monitoring data in a coastal area S. Kanchanasuta et al. 10.3934/environsci.2021033
24. Vertical distributions and potential sources of wintertime atmospheric pollutants and the corresponding ozone production on the coast of Bohai Sea C. Xing et al. 10.1016/j.jenvman.2022.115721
25. 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
26. Tailored Algorithms for the Detection of the Atmospheric Boundary Layer Height from Common Automatic Lidars and Ceilometers (ALC) S. Kotthaus et al. 10.3390/rs12193259
27. Observations of tropospheric aerosols and NO2 in Hong Kong over 5 years using ground based MAX-DOAS K. Chan et al. 10.1016/j.scitotenv.2017.10.153
28. MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations K. Chan et al. 10.5194/amt-13-4499-2020
29. Summertime Urban Mixing Layer Height over Sofia, Bulgaria V. Danchovski 10.3390/atmos10010036
30. Evaluation of the boundary layer mixing height and air pollution in Arak, Iran M. Karampoor et al. 10.1007/s12517-022-11097-z
31. Lidar-based daytime boundary layer height variation and impact on the regional satellite-based PM2.5 estimate S. Chen et al. 10.1016/j.rse.2022.113224
32. Analysis of differences between thermodynamic and material boundary layer structure: Comparison of detection by ceilometer and microwave radiometer Y. Jiang et al. 10.1016/j.atmosres.2020.105179
33. A systematic review investigating linear infrastructure effects on Urban Heat Island (UHIULI) and its interaction with UHI typologies E. Mirabi & P. Davies 10.1016/j.uclim.2022.101261
34. Surface Aerosol Properties Studied Using a Near-Horizontal Lidar P. Ong et al. 10.3390/atmos11010036
35. Study of the Effect of Different Atmospheric Conditions on the Temporal Evolution of the Mixing Layer over Madrid during the Year 2020 by Means of Two Different Methods: Ceilometer Signals and the ECMWF-IFS Meteorological Model R. Barragán et al. 10.3390/rs15235583
36. Mixing Layer Height Retrievals From MiniMPL Measurements in the Chiang Mai Valley: Implications for Particulate Matter Pollution R. Solanki et al. 10.3389/feart.2019.00308
37. Quantifying the relationship between PM<sub>2.5</sub> concentration, visibility and planetary boundary layer height for long-lasting haze and fog–haze mixed events in Beijing T. Luan et al. 10.5194/acp-18-203-2018
38. Long-Term Measurements of the Atmospheric Boundary Layer Height in Central Amazonia Using Remote Sensing Instruments C. Souza et al. 10.3390/rs15133261
39. Atmospheric boundary‐layer characteristics from ceilometer measurements. Part 1: A new method to track mixed layer height and classify clouds S. Kotthaus & C. Grimmond 10.1002/qj.3299
40. Estimating the urban atmospheric boundary layer height from remote sensing applying machine learning techniques G. de Arruda Moreira et al. 10.1016/j.atmosres.2021.105962
41. Estimation of Surface NO2 Concentrations over Germany from TROPOMI Satellite Observations Using a Machine Learning Method K. Chan et al. 10.3390/rs13050969
42. Aerosol backscatter profiles from ceilometers: validation of water vapor correction in the framework of CeiLinEx2015 M. Wiegner et al. 10.5194/amt-12-471-2019
43. High Spatiotemporal Resolution Planetary Boundary Layer Dynamics Across the Israeli Coast—Mountain—Valley Terrain Unraveled by WRF Simulations D. Avisar & S. Berkovic 10.1029/2022JD037090
44. BAERLIN2014 – stationary measurements and source apportionment at an urban background station in Berlin, Germany E. von Schneidemesser et al. 10.5194/acp-18-8621-2018
45. A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions T. Su et al. 10.1016/j.rse.2019.111519
46. Development of an atmospheric chemistry model coupled to the PALM model system 6.0: implementation and first applications B. Khan et al. 10.5194/gmd-14-1171-2021
47. Summertime response of ozone and fine particulate matter to mixing layer meteorology over the North China Plain J. Wang et al. 10.5194/acp-23-14715-2023
48. Calibrating low-cost sensors to measure vertical and horizontal gradients of NO2 and O3 pollution in three street canyons in Berlin S. Schmitz et al. 10.1016/j.atmosenv.2023.119830
49. 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. 10.3390/rs12020340
50. Analysis of Ozone Concentrations between 2002–2020 in Urban Air in Northern Spain M. García et al. 10.3390/atmos12111495
51. Estimation of the Atmospheric Boundary Layer Height by Means of Machine Learning Techniques Using Ground-Level Meteorological Data F. Molero et al. 10.2139/ssrn.4095169
52. Detailed Assessment of the Effects of Meteorological Conditions on PM10 Concentrations in the Northeastern Part of the Czech Republic V. Volná & D. Hladký 10.3390/atmos11050497
53. Intercomparison of Planetary Boundary Layer Heights Using Remote Sensing Retrievals and ERA5 Reanalysis over Central Amazonia C. Dias-Júnior et al. 10.3390/rs14184561
54. Nocturnal Boundary Layer Erosion Analysis in the Amazon Using Large-Eddy Simulation during GoAmazon Project 2014/5 R. Carneiro et al. 10.3390/atmos12020240
55. A multi-meteorological comparison for episodes of PM10 concentrations in the Berlin agglomeration area in Germany with the LOTOS-EUROS CTM M. Thürkow et al. 10.1016/j.atmosenv.2020.117946
56. The significant impact of aerosol vertical structure on lower atmosphere stability and its critical role in aerosol–planetary boundary layer (PBL) interactions T. Su et al. 10.5194/acp-20-3713-2020
57. Observation and analysis of spatiotemporal characteristics of surface ozone and carbon monoxide at multiple sites in the Kathmandu Valley, Nepal K. Mahata et al. 10.5194/acp-18-14113-2018
58. Unexpected deep mixing layer in the Sichuan Basin, China Y. Liu et al. 10.1016/j.atmosres.2020.105300
59. Influence of meteorological parameters and oxidizing capacity on characteristics of airborne particulate amines in an urban area of the Pearl River Delta, China F. Liu et al. 10.1016/j.envres.2022.113212
60. Methodology for Mobile Toxics Deterministic Human Health Risk Assessment and Case Study M. Munshed et al. 10.3390/atmos14030506
61. The use of radon as a tracer for air quality assessment: a case study in Bratislava, Slovakia M. Sultani et al. 10.1007/s10967-023-08969-3
62. Interrelations between surface, boundary layer, and columnar aerosol properties derived in summer and early autumn over a continental urban site in Warsaw, Poland D. Wang et al. 10.5194/acp-19-13097-2019
63. Volume for pollution dispersion: London's atmospheric boundary layer during ClearfLo observed with two ground-based lidar types S. Kotthaus et al. 10.1016/j.atmosenv.2018.06.042
64. Impact of mixing layer height on air quality in winter B. Murthy et al. 10.1016/j.jastp.2019.105157
65. Influences of approaching tropical cyclones on water vapor and aerosols in the atmospheric boundary layer of Guangdong–Hong Kong–Macau Greater Bay Area of China T. Huang et al. 10.1016/j.scitotenv.2023.163188
66. A study of dust airborne particles collected by vehicular traffic from the atmosphere of southern megalopolis Mexico City M. Rodriguez et al. 10.1186/s40068-019-0143-3
67. Relationship analysis of PM<sub>2.5</sub> and boundary layer height using an aerosol and turbulence detection lidar C. Wang et al. 10.5194/amt-12-3303-2019
68. 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. 10.1175/JTECH-D-20-0050.1
69. Estimation of the atmospheric boundary layer height by means of machine learning techniques using ground-level meteorological data F. Molero et al. 10.1016/j.atmosres.2022.106401
70. Analysis of annual citizen odor observation records and its relationship with meteorological factors: Çorlu / Tekirdağ case study C. Özkal 10.1016/j.apr.2023.101734
71. Vertically resolved characteristics of air pollution during two severe winter haze episodes in urban Beijing, China Q. Wang et al. 10.5194/acp-18-2495-2018
72. Assessing Transboundary‐Local Aerosols Interaction Over Complex Terrain Using a Doppler LiDAR Network T. Huang et al. 10.1029/2021GL093238
73. Four Years of Atmospheric Boundary Layer Height Retrievals Using COSMIC-2 Satellite Data G. Garnés-Morales et al. 10.3390/rs16091632
74. Long-term meteorology-adjusted and unadjusted trends of PM2.5 using the AirGAM model over Delhi, 2007–2022 . Chetna et al. 10.1016/j.aeaoa.2024.100255
75. Evaluating WRF-GC v2.0 predictions of boundary layer height and vertical ozone profile during the 2021 TRACER-AQ campaign in Houston, Texas X. Liu et al. 10.5194/gmd-16-5493-2023
76. Multiple technical observations of the atmospheric boundary layer structure of a red-alert haze episode in Beijing Y. Shi et al. 10.5194/amt-12-4887-2019
77. Impact of Saharan Dust Intrusions on Atmospheric Boundary Layer Height over Madrid F. Molero et al. 10.3390/atmos15121451