141 citations as recorded by crossref.

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2. Retrieval of aerosol profiles combining sunphotometer and ceilometer measurements in GRASP code R. Román et al. https://doi.org/10.1016/j.atmosres.2018.01.021
3. Ice crystal characterization in cirrus clouds II: radiometric characterization of HaloCam for the quantitative analysis of halo displays L. Forster et al. https://doi.org/10.5194/amt-13-3977-2020
4. Observed aerosol‐layer depth at Station Nord in the high Arctic S. Gryning et al. https://doi.org/10.1002/joc.8027
5. A novel method to retrieve the nocturnal boundary layer structure based on CCD laser aerosol detection system measurements Y. Bian et al. https://doi.org/10.1016/j.rse.2018.04.007
6. Evaluation of retrieved aerosol extinction profiles using as reference the aerosol optical depth differences between various heights M. Herreras et al. https://doi.org/10.1016/j.atmosres.2019.104625
7. 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 https://doi.org/10.5194/acp-20-5547-2020
8. A long-term Doppler wind LiDAR study of heavy pollution episodes in western Yangtze River Delta region, China M. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107616
9. Role of atmospheric boundary layer dynamics in driving surface black carbon concentrations over a high-altitude station in north-east India A. Kundu et al. https://doi.org/10.1016/j.apr.2025.102420
10. Parallel Developments and Formal Collaboration between European Atmospheric Profiling Observatories and the U.S. ARM Research Program M. Haeffelin et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0045.1
11. 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
12. 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. https://doi.org/10.3390/rs15235583
13. Boundary layer and mixing layer height: Models vs. Ground-based measurements intercomparison K. Julaha et al. https://doi.org/10.1016/j.atmosres.2024.107897
14. 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. https://doi.org/10.1016/j.apr.2019.11.017
15. Aerosols in the Mixed Layer and Mid-Troposphere from Long-Term Data of the Italian Automated Lidar-Ceilometer Network (ALICENET) and Comparison with the ERA5 and CAMS Models A. Bellini et al. https://doi.org/10.3390/rs17030372
16. Data Assimilation of Ceilometer Aerosol Extinction Coefficient Profile Contributes to Predictions of the Three‐Dimensional Structures of Aerosols in East China L. Gao et al. https://doi.org/10.1029/2024JD042408
17. Towards Early Detection of Tropospheric Aerosol Layers Using Monitoring with Ceilometer, Photometer, and Air Mass Trajectories M. Adam et al. https://doi.org/10.3390/rs14051217
18. 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
19. Correction of water vapor absorption for aerosol remote sensing with ceilometers M. Wiegner & J. Gasteiger https://doi.org/10.5194/amt-8-3971-2015
20. Aerosol Optical Properties Based on Ground and Satellite Retrievals during a Serious Haze Episode in December 2015 over Beijing K. Gui et al. https://doi.org/10.3390/atmos7050070
21. Observations of tropospheric aerosols and NO2 in Hong Kong over 5 years using ground based MAX-DOAS K. Chan et al. https://doi.org/10.1016/j.scitotenv.2017.10.153
22. PathfinderTURB: an automatic boundary layer algorithm. Development, validation and application to study the impact on in situ measurements at the Jungfraujoch Y. Poltera et al. https://doi.org/10.5194/acp-17-10051-2017
23. Evaluation of forward-modelled attenuated backscatter using an urban ceilometer network in London under clear-sky conditions E. Warren et al. https://doi.org/10.1016/j.atmosenv.2018.04.045
24. What controls the formation of nocturnal low-level stratus clouds over southern West Africa during the monsoon season? K. Babić et al. https://doi.org/10.5194/acp-19-13489-2019
25. Ground-based remote sensing scheme for monitoring aerosol–cloud interactions K. Sarna & H. Russchenberg https://doi.org/10.5194/amt-9-1039-2016
26. 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
27. Ice crystal characterization in cirrus clouds: a sun-tracking camera system and automated detection algorithm for halo displays L. Forster et al. https://doi.org/10.5194/amt-10-2499-2017
28. Low Blind Zone Atmospheric Lidar Based on Fiber Bundle Receiving Z. Yin et al. https://doi.org/10.3390/rs15194643
29. Technical Note: Optical properties of desert aerosol with non-spherical mineral particles: data incorporated to OPAC P. Koepke et al. https://doi.org/10.5194/acp-15-5947-2015
30. Mass concentration estimates of long-range-transported Canadian biomass burning aerosols from a multi-wavelength Raman polarization lidar and a ceilometer in Finland X. Shang et al. https://doi.org/10.5194/amt-14-6159-2021
31. Blowing snow detection from ground-based ceilometers: application to East Antarctica A. Gossart et al. https://doi.org/10.5194/tc-11-2755-2017
32. An overview from hygroscopic aerosols to cloud droplets: The HygrA-CD campaign in the Athens basin A. Papayannis et al. https://doi.org/10.1016/j.scitotenv.2016.09.054
33. Observed aerosol characteristics to improve forward-modelled attenuated backscatter in urban areas E. Warren et al. https://doi.org/10.1016/j.atmosenv.2019.117177
34. Variability in atmospheric aerosols and effects of humidity, wind and InterTropical discontinuity over different ecological zones in Nigeria A. Ayanlade et al. https://doi.org/10.1016/j.atmosenv.2018.12.039
35. Aerosol and Meteorological Parameters Associated with the Intense Dust Event of 15 April 2015 over Beijing, China S. Zheng & R. Singh https://doi.org/10.3390/rs10060957
36. Comparison of Backscatter Coefficient at 1064 nm from CALIPSO and Ground–Based Ceilometers over Coastal and Non–Coastal Regions T. Baroni et al. https://doi.org/10.3390/atmos11111190
37. Behavior of Cloud Base Height over Sumatra Mountains Region from Ceilometer Observations H. Yusnaini et al. https://doi.org/10.1016/j.atmosres.2025.107978
38. Ceilometer inversion method using water-vapor correction from co-located microwave radiometer for aerosol retrievals A. Bedoya-Velásquez et al. https://doi.org/10.1016/j.atmosres.2020.105379
39. Aerosol monitoring in Siberia using an 808 nm automatic compact lidar G. Ancellet et al. https://doi.org/10.5194/amt-12-147-2019
40. Characteristics of cloud occurrence using ceilometer measurements and its relationship to precipitation over Seoul S. Lee et al. https://doi.org/10.1016/j.atmosres.2017.10.010
41. Investigation of the mixing layer height derived from ceilometer measurements in the Kathmandu Valley and implications for local air quality A. Mues et al. https://doi.org/10.5194/acp-17-8157-2017
42. Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer L. Liu et al. https://doi.org/10.1155/2018/9738197
43. 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
44. 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
45. Analysis of four years of ceilometer-derived aerosol backscatter profiles in a coastal site of the western Mediterranean C. Marcos et al. https://doi.org/10.1016/j.atmosres.2018.06.016
46. Aerosol Optical Properties over Beijing during the World Athletics Championships and Victory Day Military Parade in August and September 2015 Y. Zheng et al. https://doi.org/10.3390/atmos7030047
47. Demonstration of a diode-laser-based high spectral resolution lidar (HSRL) for quantitative profiling of clouds and aerosols M. Hayman & S. Spuler https://doi.org/10.1364/OE.25.0A1096
48. Ceilometer aerosol profiling versus Raman lidar in the frame of the INTERACT campaign of ACTRIS F. Madonna et al. https://doi.org/10.5194/amt-8-2207-2015
49. Retrieval of aerosol properties from ceilometer and photometer measurements: long-term evaluation with in situ data and statistical analysis at Montsec (southern Pyrenees) G. Titos et al. https://doi.org/10.5194/amt-12-3255-2019
50. Effect of the Aerosol Type Selection for the Retrieval of Shortwave Ground Net Radiation: Case Study Using Landsat 8 Data C. Bassani et al. https://doi.org/10.3390/atmos7090111
51. Ceilometer signal performance with height in high aerosol loads D. Bachour & D. Perez-Astudillo https://doi.org/10.1016/j.jastp.2015.12.005
52. Lidar observations of cirrus clouds in Buenos Aires S. Gabriela Lakkis et al. https://doi.org/10.1016/j.jastp.2015.05.020
53. Regional pollution and its formation mechanism over North China Plain: A case study with ceilometer observations and model simulations X. Zhu et al. https://doi.org/10.1002/2016JD025730
54. The impact of Los Angeles Basin pollution and stratospheric intrusions on the surrounding San Gabriel Mountains as seen by surface measurements, lidar, and numerical models F. Chouza et al. https://doi.org/10.5194/acp-21-6129-2021
55. Impact of Saharan Dust Intrusions on Atmospheric Boundary Layer Height over Madrid F. Molero et al. https://doi.org/10.3390/atmos15121451
56. Impact of North American intense fires on aerosol optical properties measured over the European Arctic in July 2015 K. Markowicz et al. https://doi.org/10.1002/2016JD025310
57. Near-real-time processing of a ceilometer network assisted with sun-photometer data: monitoring a dust outbreak over the Iberian Peninsula A. Cazorla et al. https://doi.org/10.5194/acp-17-11861-2017
58. Aircraft vertical profiles during summertime regional and Saharan dust scenarios over the north-western Mediterranean basin: aerosol optical and physical properties J. Yus-Díez et al. https://doi.org/10.5194/acp-21-431-2021
59. Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation A. Geisinger et al. https://doi.org/10.5194/amt-10-4705-2017
60. 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
61. 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
62. Intercomparison of aerosol measurements performed with multi-wavelength Raman lidars, automatic lidars and ceilometers in the framework of INTERACT-II campaign F. Madonna et al. https://doi.org/10.5194/amt-11-2459-2018
63. Impact of the 2016 Southeastern US Wildfires on the Vertical Distribution of Ozone and Aerosol at Huntsville, Alabama B. Wang et al. https://doi.org/10.1029/2021JD034796
64. Monsoon Season Quantitative Assessment of Biomass Burning Clear-Sky Aerosol Radiative Effect at Surface by Ground-Based Lidar Observations in Pulau Pinang, Malaysia in 2014 S. Lolli et al. https://doi.org/10.3390/rs11222660
65. 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
66. Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. https://doi.org/10.5194/gmd-14-43-2021
67. Fiber Lidar Sensing of the Vertical Profiles of Low-Level Cloud Extinction Coefficients at 1064 nm S. Park et al. https://doi.org/10.3390/rs18060891
68. The Impact of Slantwise Descending Dry Intrusions on the Marine Boundary Layer and Air‐Sea Interface Over the ARM Eastern North Atlantic Site E. Ilotoviz et al. https://doi.org/10.1029/2020JD033879
69. IAOOS microlidar-on-buoy development and first atmospheric observations obtained during 2014 and 2015 arctic drifts V. Mariage et al. https://doi.org/10.1364/OE.25.000A73
70. Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. https://doi.org/10.5194/acp-20-5657-2020
71. 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
72. On the Middle East's severe dust storms in spring 2022: Triggers and impacts D. Francis et al. https://doi.org/10.1016/j.atmosenv.2022.119539
73. EARLINET: towards an advanced sustainable European aerosol lidar network G. Pappalardo et al. https://doi.org/10.5194/amt-7-2389-2014
74. Urban air pollution monitoring using scanning Lidar J. Xian et al. https://doi.org/10.1016/j.envpol.2019.113696
75. Optimal estimation method applied on ceilometer aerosol retrievals A. Bedoya-Velásquez et al. https://doi.org/10.1016/j.atmosenv.2021.118243
76. Comparative Analysis of the Cloud Behavior over Inland and Coastal Regions within Single Climate Characteristics S. Lee et al. https://doi.org/10.3390/atmos11121316
77. Capabilities of an Automatic Lidar Ceilometer to Retrieve Aerosol Characteristics within the Planetary Boundary Layer D. Li et al. https://doi.org/10.3390/rs13183626
78. Assessment of mixed-layer height estimation from single-wavelength ceilometer profiles T. Knepp et al. https://doi.org/10.5194/amt-10-3963-2017
79. Influence of mixing layer height on air pollutant concentrations in an urban street canyon P. Wagner & K. Schäfer https://doi.org/10.1016/j.uclim.2015.11.001
80. Effects of fireworks on particulate matter concentration in a narrow valley: the case of the Medellín metropolitan area C. Hoyos et al. https://doi.org/10.1007/s10661-019-7838-9
81. Characteristics of cloud base height distribution over a tropical urban region Hyderabad, India H. Vanlalrochana et al. https://doi.org/10.1016/j.atmosres.2025.108476
82. 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
83. Benefit of depolarization ratio at λ = 1064 nm for the retrieval of the aerosol microphysics from lidar measurements J. Gasteiger & V. Freudenthaler https://doi.org/10.5194/amt-7-3773-2014
84. A method to assess the cloud-aerosol transition zone from ceilometer measurements J. Ruiz de Morales et al. https://doi.org/10.1016/j.atmosres.2024.107623
85. A robust automated technique for operational calibration of ceilometers using the integrated backscatter from totally attenuating liquid clouds E. Hopkin et al. https://doi.org/10.5194/amt-12-4131-2019
86. Mixing layer height as an indicator for urban air quality? A. Geiß et al. https://doi.org/10.5194/amt-10-2969-2017
87. Current Research in Lidar Technology Used for the Remote Sensing of Atmospheric Aerosols A. Comerón et al. https://doi.org/10.3390/s17061450
88. 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
89. Recommendations for processing atmospheric attenuated backscatter profiles from Vaisala CL31 ceilometers S. Kotthaus et al. https://doi.org/10.5194/amt-9-3769-2016
90. Atmospheric Thermodynamic Profiling through the Use of a Micro-Pulse Raman Lidar System: Introducing the Compact Raman Lidar MARCO P. Di Girolamo et al. https://doi.org/10.3390/s23198262
91. Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation L. She et al. https://doi.org/10.3390/rs10040490
92. Monitoring Dust Events Using Doppler Lidar and Ceilometer in Iceland S. Yang et al. https://doi.org/10.3390/atmos11121294
93. Retrieval of Aerosol Parameters from Continuous H24 Lidar-Ceilometer Measurements D. Dionisi et al. https://doi.org/10.1051/epjconf/201611923004
94. A multi-axis differential optical absorption spectroscopy aerosol profile retrieval algorithm for high-altitude measurements: application to measurements at Schneefernerhaus (UFS), Germany Z. Wang et al. https://doi.org/10.5194/amt-13-1835-2020
95. Canadian Wildfire Smoke Episode over Europe in October 2023: Lidar, Sun-Photometer, and Model Characterization of Smoke Layers Observed Above Sofia, Bulgaria T. Evgenieva et al. https://doi.org/10.3390/rs17162899
96. Potential of polarization lidar to provide profiles of CCN- and INP-relevant aerosol parameters R. Mamouri & A. Ansmann https://doi.org/10.5194/acp-16-5905-2016
97. Spatial and seasonal variations in atmospheric aerosols over Nigeria: Assessment of influence of intertropical discontinuity movement A. Ayanlade et al. https://doi.org/10.1177/1759313118820306
98. Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust B. Cvetkovic et al. https://doi.org/10.3390/atmos13091345
99. Investigation of the Optical Properties of Aerosols over the Coastal Region at Dalian, Northeast China H. Zhao et al. https://doi.org/10.3390/atmos7080103
100. New insights into the vertical structure of the September 2015 dust storm employing eight ceilometers and auxiliary measurements over Israel L. Uzan et al. https://doi.org/10.5194/acp-18-3203-2018
101. Mini-Scheimpflug lidar system for all-day atmospheric remote sensing in the boundary layer L. Mei et al. https://doi.org/10.1364/AO.396057
102. Early forest-fire detection using scanning polarization lidar J. Xian et al. https://doi.org/10.1364/AO.399766
103. Mixing-layer height retrieval with ceilometer and Doppler lidar: from case studies to long-term assessment J. Schween et al. https://doi.org/10.5194/amt-7-3685-2014
104. Comparison of Cloud Base Height Derived from a Ground-Based Infrared Cloud Measurement and Two Ceilometers L. Liu et al. https://doi.org/10.1155/2015/853861
105. Seasonal variability of low, mid, and high level cloud properties over southern Western Ghats, India: a lidar ceilometer analysis M. Pramitha et al. https://doi.org/10.1080/01431161.2025.2593713
106. ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications A. Bellini et al. https://doi.org/10.5194/amt-17-6119-2024
107. Spatiotemporal evolution of a severe winter dust event in the western Mediterranean: Aerosol optical and physical properties G. Titos et al. https://doi.org/10.1002/2016JD026252
108. Retrieving aerosol backscatter coefficient using coherent Doppler wind lidar T. Wei et al. https://doi.org/10.1364/OE.551730
109. How does the ice sheet surface mass balance relate to snowfall? Insights from a ground-based precipitation radar in East Antarctica N. Souverijns et al. https://doi.org/10.5194/tc-12-1987-2018
110. Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption G. Fu et al. https://doi.org/10.5194/acp-17-1187-2017
111. Aerosol backscatter profiles from ceilometers: validation of water vapor correction in the framework of CeiLinEx2015 M. Wiegner et al. https://doi.org/10.5194/amt-12-471-2019
112. The role of surface energy fluxes in determining mixing layer heights E. Beamesderfer et al. https://doi.org/10.1016/j.agrformet.2023.109687
113. On the Misclassification of Dust as Cloud at an AERONET Site in the Sonoran Desert A. Evan et al. https://doi.org/10.1175/JTECH-D-21-0114.1
114. 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
115. Instrument temperature dependence of the Vaisala CL51 signal A. Geifl https://doi.org/10.1051/epjconf/202636202010
116. 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
117. Long-term characteristics of the atmospheric boundary layer over the Himalayan Foothills using ground-based Lidar and reanalysis data A. Jangra et al. https://doi.org/10.1016/j.atmosres.2026.109005
118. A semi-automated procedure for the emitter–receiver geometry characterization of motor-controlled lidars M. Di Paolantonio et al. https://doi.org/10.5194/amt-15-1217-2022
119. Evaluation of ECMWF-IFS (version 41R1) operational model forecasts of aerosol transport by using ceilometer network measurements K. Chan et al. https://doi.org/10.5194/gmd-11-3807-2018
120. Application of the Ultraviolet Scanning Elastic Backscatter LiDAR for the Investigation of Aerosol Variability F. Gao et al. https://doi.org/10.3390/rs70506320
121. The Added Value of Large-eddy and Storm-resolving Models for Simulating Clouds and Precipitation B. STEVENS et al. https://doi.org/10.2151/jmsj.2020-021
122. BAERLIN2014 – stationary measurements and source apportionment at an urban background station in Berlin, Germany E. von Schneidemesser et al. https://doi.org/10.5194/acp-18-8621-2018
123. Quantifying the relationship between PM2.5 concentration, visibility and planetary boundary layer height for long-lasting haze and fog–haze mixed events in Beijing T. Luan et al. https://doi.org/10.5194/acp-18-203-2018
124. Intercomparison of Planetary Boundary Layer Heights Using Remote Sensing Retrievals and ERA5 Reanalysis over Central Amazonia C. Dias-Júnior et al. https://doi.org/10.3390/rs14184561
125. Stereoscopic Estimation of Volcanic Ash Cloud-Top Height from Two Geostationary Satellites L. Merucci et al. https://doi.org/10.3390/rs8030206
126. The impact of cloudiness and cloud type on the atmospheric heating rate of black and brown carbon in the Po Valley L. Ferrero et al. https://doi.org/10.5194/acp-21-4869-2021
127. Remote sensing of PM2.5 during cloudy and nighttime periods using ceilometer backscatter S. Li et al. https://doi.org/10.5194/amt-10-2093-2017
128. MOPSMAP v1.0: a versatile tool for the modeling of aerosol optical properties J. Gasteiger & M. Wiegner https://doi.org/10.5194/gmd-11-2739-2018
129. A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals I. Binietoglou et al. https://doi.org/10.5194/amt-8-3577-2015
130. Radiation fog formation alerts using attenuated backscatter power from automatic lidars and ceilometers M. Haeffelin et al. https://doi.org/10.5194/amt-9-5347-2016
131. A multiwavelength numerical model in support of quantitative retrievals of aerosol properties from automated lidar ceilometers and test applications for AOT and PM10 estimation D. Dionisi et al. https://doi.org/10.5194/amt-11-6013-2018
132. Atmospheric Boundary Layer Height Estimation from Lidar Observations: Assessment and Validation of MIPA Algorithm G. D’Amico et al. https://doi.org/10.3390/rs17162748
133. Evaluation of ECMWF IFS-AER (CAMS) operational forecasts during cycle 41r1–46r1 with calibrated ceilometer profiles over Germany H. Flentje et al. https://doi.org/10.5194/gmd-14-1721-2021
134. Water Vapor Correction in Measurements of Aerosol Backscatter Coefficients Using a 910 nm Vaisala CL51 Ceilometer J. Chen et al. https://doi.org/10.3390/rs17122013
135. Measurements of a Dusty Density Current in the Western Sonoran Desert A. Evan et al. https://doi.org/10.1029/2021JD035830
136. Satellite-Observed Transport of Dust to the East China Sea and the North Pacific Subtropical Gyre: Contribution of Dust to the Increase in Chlorophyll during Spring 2010 S. Tan et al. https://doi.org/10.3390/atmos7110152
137. 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
138. Balloon-borne aerosol–cloud interaction studies (BACIS): field campaigns to understand and quantify aerosol effects on clouds V. Ravi Kiran et al. https://doi.org/10.5194/amt-15-4709-2022
139. An automatic observation-based aerosol typing method for EARLINET N. Papagiannopoulos et al. https://doi.org/10.5194/acp-18-15879-2018
140. Evaluation of ceilometer attenuated backscattering coefficients for aerosol profile measurement Y. Jin et al. https://doi.org/10.1117/1.JRS.12.042604
141. Evaluation of PBL Parameterization Schemes in WRF Model Predictions during the Dry Season of the Central Amazon Basin J. Mantovani Júnior et al. https://doi.org/10.3390/atmos14050850