107 citations as recorded by crossref.

1. Presenting SAPUSS: Solving Aerosol Problem by Using Synergistic Strategies in Barcelona, Spain M. Dall'Osto et al. https://doi.org/10.5194/acp-13-8991-2013
2. Electrical sensing of the dynamical structure of the planetary boundary layer K. Nicoll et al. https://doi.org/10.1016/j.atmosres.2017.11.009
3. Long-term cloud characterization at the AGORA ACTRIS-CCRES station using a novel classification algorithm M. Tolentino et al. https://doi.org/10.5194/amt-19-2079-2026
4. 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
5. Blowing snow detection from ground-based ceilometers: application to East Antarctica A. Gossart et al. https://doi.org/10.5194/tc-11-2755-2017
6. Study of aerosol optical properties during long-range transport of biomass burning from Canada to Central Europe in July 2013 K. Markowicz et al. https://doi.org/10.1016/j.jaerosci.2016.08.006
7. Inter-comparison of lidar and ceilometer retrievals for aerosol and Planetary Boundary Layer profiling over Athens, Greece G. Tsaknakis et al. https://doi.org/10.5194/amt-4-1261-2011
8. Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar Z. Wang et al. https://doi.org/10.3390/rs13163326
9. 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
10. Multisensor Characterization of Mammatus S. Trömel et al. https://doi.org/10.1175/MWR-D-16-0187.1
11. Four Years of Atmospheric Boundary Layer Height Retrievals Using COSMIC-2 Satellite Data G. Garnés-Morales et al. https://doi.org/10.3390/rs16091632
12. Evaluation and Improvement of a CALIPSO-Based Algorithm for Cloud Base Height in China R. Li & X. Ma https://doi.org/10.3390/rs16152801
13. Ceilometer signal performance with height in high aerosol loads D. Bachour & D. Perez-Astudillo https://doi.org/10.1016/j.jastp.2015.12.005
14. 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
15. 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
16. Stratospheric ozone in boreal fire plumes – the 2013 smoke season over central Europe T. Trickl et al. https://doi.org/10.5194/acp-15-9631-2015
17. The Application of EMD-CIIT Lidar Signal Denoising Method in Aerosol Detection P. Tian et al. https://doi.org/10.1016/j.proeng.2015.01.251
18. The HD(CP)2 Observational Prototype Experiment (HOPE) – an overview A. Macke et al. https://doi.org/10.5194/acp-17-4887-2017
19. Evaluation of ceilometer attenuated backscattering coefficients for aerosol profile measurement Y. Jin et al. https://doi.org/10.1117/1.JRS.12.042604
20. 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
21. Lidar Measurements for Desert Dust Characterization: An Overview L. Mona et al. https://doi.org/10.1155/2012/356265
22. Signal to Noise Ratio Estimations for a Volcanic ASH Detection Lidar. Case Study: The Met Office G. Georgoussis et al. https://doi.org/10.1051/epjconf/201611907002
23. Analysis of Pre-Monsoon Convective Systems over a Tropical Coastal Region Using C-Band Polarimetric Radar, Satellite and Numerical Simulation D. Jash et al. https://doi.org/10.3390/atmos13091349
24. Cloud Occurrence, Phase, and Vertical Structure in a Dust-Influenced Eastern Mediterranean Region: Observations from Limassol, Cyprus G. Kotsias et al. https://doi.org/10.3390/rs18172976
25. Automatic Lidar Calibration and Processing Program for Multiwavelength Raman Polarization Lidar Z. Yin et al. https://doi.org/10.1051/epjconf/202023708007
26. Temporal variations in optical and microphysical properties of mineral dust and biomass burning aerosol derived from daytime Raman lidar observations over Warsaw, Poland L. Janicka et al. https://doi.org/10.1016/j.atmosenv.2017.09.022
27. Signatures of Shallow and Deep Clouds Inferred From Precipitation Microphysics Over Windward Side of Western Ghats R. Sumesh et al. https://doi.org/10.1029/2020JD034312
28. 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
29. Aerosol profiling with the Jenoptik ceilometer CHM15kx M. Wiegner & A. Geiß https://doi.org/10.5194/amt-5-1953-2012
30. Lidar algorithms for atmospheric slant range visibility, meteorological conditions detection, and atmospheric layering measurements A. Pantazis et al. https://doi.org/10.1364/AO.56.006440
31. Vertical distribution of aerosols and association with atmospheric boundary layer structures during regional aerosol transport over central China X. Sun et al. https://doi.org/10.1016/j.envpol.2024.124967
32. 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
33. 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
34. The impact of moderately absorbing aerosol on surface sensible, latent, and net radiative fluxes during the summer of 2015 in Central Europe K. Markowicz et al. https://doi.org/10.1016/j.jaerosci.2020.105627
35. 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
36. Automation in Middle- and Upper-Atmosphere LIDAR Operations: A Maximum Rayleigh Altitude Prediction System Based on Night Sky Imagery J. Wei et al. https://doi.org/10.3390/rs16030536
37. Analysis of intense dust storms over the eastern Mediterranean in March 2018: Impact on radiative forcing and Athens air quality D. Kaskaoutis et al. https://doi.org/10.1016/j.atmosenv.2019.04.025
38. Ground-based retrieval of continental and marine warm cloud microphysics G. Martucci & C. O'Dowd https://doi.org/10.5194/amt-4-2749-2011
39. Optical and geometrical properties of cirrus clouds in Amazonia derived from 1 year of ground-based lidar measurements D. Gouveia et al. https://doi.org/10.5194/acp-17-3619-2017
40. Study on the life cycle of an ice cloud system over the Taklamakan desert using multi-source data L. Su et al. https://doi.org/10.5194/amt-19-2657-2026
41. 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
42. Recommendations for processing atmospheric attenuated backscatter profiles from Vaisala CL31 ceilometers S. Kotthaus et al. https://doi.org/10.5194/amt-9-3769-2016
43. 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
44. Impact of Saharan Dust Intrusions on Atmospheric Boundary Layer Height over Madrid F. Molero et al. https://doi.org/10.3390/atmos15121451
45. Long-term study on coarse mode aerosols in the Amazon rain forest with the frequent intrusion of Saharan dust plumes D. Moran-Zuloaga et al. https://doi.org/10.5194/acp-18-10055-2018
46. Multivariate statistical air mass classification for the high-alpine observatory at the Zugspitze Mountain, Germany A. Sigmund et al. https://doi.org/10.5194/acp-19-12477-2019
47. Evaluation of the boundary layer morning transition using the CL-31 ceilometer signals P. Sokół et al. https://doi.org/10.2478/s11600-013-0158-5
48. Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol I. Stachlewska et al. https://doi.org/10.3390/rs10030412
49. Elevated dust layers inhibit dissipation of heavy anthropogenic surface air pollution Z. Wang et al. https://doi.org/10.5194/acp-20-14917-2020
50. Improvement of Aerosol Coarse-Mode Detection through Additional Use of Infrared Wavelengths in the Inversion of Arctic Lidar Data C. Böckmann et al. https://doi.org/10.3390/rs16091576
51. 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
52. Dust Aerosol Vertical Profiles in the Hinterland of Taklimakan Desert During Summer 2019 J. Bi et al. https://doi.org/10.3389/fenvs.2022.851915
53. Observation of vertical variability of black carbon concentration in lower troposphere on campaigns in Poland M. Chilinski et al. https://doi.org/10.1016/j.atmosenv.2016.04.020
54. 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
55. Airborne observations of newly formed boundary layer aerosol particles under cloudy conditions B. Altstädter et al. https://doi.org/10.5194/acp-18-8249-2018
56. 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
57. Tracking Smoke from a Prescribed Fire and Its Impacts on Local Air Quality Using Temporally Resolved GOES-16 ABI Aerosol Optical Depth (AOD) A. Huff et al. https://doi.org/10.1175/JTECH-D-20-0162.1
58. EARLINET: towards an advanced sustainable European aerosol lidar network G. Pappalardo et al. https://doi.org/10.5194/amt-7-2389-2014
59. Quantify the Contribution of Dust and Anthropogenic Sources to Aerosols in North China by Lidar and Validated with CALIPSO Z. Wang et al. https://doi.org/10.3390/rs13091811
60. Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al. https://doi.org/10.1364/OE.496794
61. Remote sensing of planetary boundary layer from ground and space: Structure, thermodynamics, and boundary layer clouds T. Su et al. https://doi.org/10.1016/j.rse.2026.115544
62. Monitoring Depth of Shallow Atmospheric Boundary Layer to Complement LiDAR Measurements Affected by Partial Overlap S. Pal https://doi.org/10.3390/rs6098468
63. 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
64. The interdependence of continental warm cloud properties derived from unexploited solar background signals in ground-based lidar measurements J. Chiu et al. https://doi.org/10.5194/acp-14-8389-2014
65. Validation of the FALL3D ash dispersion model using observations of the 2010 Eyjafjallajökull volcanic ash clouds A. Folch et al. https://doi.org/10.1016/j.atmosenv.2011.06.072
66. Continuous atmospheric boundary layer observations in the coastal urban area of Barcelona during SAPUSS M. Pandolfi et al. https://doi.org/10.5194/acp-13-4983-2013
67. Raindrop size distribution of stratiform precipitation over Southwest India – The Gateway of Indian Summer Monsoon S. Kumar et al. https://doi.org/10.1016/j.atmosres.2022.106125
68. Atmospheric Pollution Monitoring in Urban Area by Employing a 450-nm Lidar System Z. Kong et al. https://doi.org/10.3390/s18061880
69. Laser Ceilometer Investigation of Persistent Wintertime Cold-Air Pools in Utah’s Salt Lake Valley J. Young & C. Whiteman https://doi.org/10.1175/JAMC-D-14-0115.1
70. Discriminating between “drizzle or rain” and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory J. Roschke et al. https://doi.org/10.5194/amt-18-487-2025
71. Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106 H. Griesche et al. https://doi.org/10.5194/amt-13-5335-2020
72. The Aerosol Optical Characteristics in Different Dust Events Based on a 532 nm and 355 nm Polarization Lidar in Beijing Z. Chen et al. https://doi.org/10.3390/rs15143494
73. Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data G. Dai et al. https://doi.org/10.5194/amt-11-2735-2018
74. Phytoplankton Impact on Marine Cloud Microphysical Properties Over the Northeast Atlantic Ocean K. Mansour et al. https://doi.org/10.1029/2021JD036355
75. Identifying cloud droplets beyond lidar attenuation from vertically pointing cloud radar observations using artificial neural networks W. Schimmel et al. https://doi.org/10.5194/amt-15-5343-2022
76. Dynamics of Mixing Layer Height and Homogeneity from Ceilometer-Measured Aerosol Profiles and Correlation to Ground Level PM2.5 in New York City D. Li et al. https://doi.org/10.3390/rs14246370
77. Top-down and bottom-up aerosol–cloud closure: towards understanding sources of uncertainty in deriving cloud shortwave radiative flux K. Sanchez et al. https://doi.org/10.5194/acp-17-9797-2017
78. Observations of the Boundary Layer in the Cape Grim Coastal Region: Interaction with Wind and the Influences of Continental Sources Z. Chen et al. https://doi.org/10.3390/rs15020461
79. Ceilometer observations of the boundary layer over Warsaw, Poland I. Stachlewska et al. https://doi.org/10.2478/s11600-012-0054-4
80. Cloud height measurement by a network of all-sky imagers N. Blum et al. https://doi.org/10.5194/amt-14-5199-2021
81. Raindrop size distribution in stratiform precipitation: Insights from spectral bin simulations over the high-altitude cloud physics observatory, Western Ghats S. Kumar et al. https://doi.org/10.1016/j.jastp.2025.106643
82. Water Vapor Calibration: Using a Raman Lidar and Radiosoundings to Obtain Highly Resolved Water Vapor Profiles B. Kulla & C. Ritter https://doi.org/10.3390/rs11060616
83. JOYCE: Jülich Observatory for Cloud Evolution U. Löhnert et al. https://doi.org/10.1175/BAMS-D-14-00105.1
84. 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
85. Volcanic plume height during the 2021 Tajogaite eruption (La Palma) from two complementary monitoring methods – implications for satellite-based products Á. Barreto et al. https://doi.org/10.5194/amt-19-1385-2026
86. Characterizing microphysical transitions in southwest monsoon onset precipitation: An observational insight from southern peninsular India R. Sumesh et al. https://doi.org/10.1016/j.jastp.2025.106701
87. Validation of reactive gases and aerosols in the MACC global analysis and forecast system H. Eskes et al. https://doi.org/10.5194/gmd-8-3523-2015
88. Classification of Cloud Phases in Cold-Air Outbreak Events Based on Polarization Lidar and Cloud Radar Observations Y. Zhang et al. https://doi.org/10.1109/TGRS.2026.3663561
89. Summertime Urban Mixing Layer Height over Sofia, Bulgaria V. Danchovski https://doi.org/10.3390/atmos10010036
90. Using CALIOP to estimate cloud-field base height and its uncertainty: the Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset J. Mülmenstädt et al. https://doi.org/10.5194/essd-10-2279-2018
91. 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
92. 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
93. 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
94. Measurement report: Dust and anthropogenic aerosols' vertical distributions over northern China dense aerosols gathered at the top of the mixing layer Z. Wang et al. https://doi.org/10.5194/acp-23-14271-2023
95. The relation between columnar and surface aerosol optical properties in a background environment D. Szczepanik & K. Markowicz https://doi.org/10.1016/j.apr.2017.10.001
96. Characterization of Tajogaite volcanic plumes detected over the Iberian Peninsula from a set of satellite and ground-based remote sensing instrumentation V. Salgueiro et al. https://doi.org/10.1016/j.rse.2023.113684
97. An Assessment of Pseudo-Operational Ground-Based Light Detection and Ranging Sensors to Determine the Boundary-Layer Structure in the Coastal Atmosphere C. Milroy et al. https://doi.org/10.1155/2012/929080
98. 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
99. Feasibility of Ceilometers Data to Estimate Radiative Forcing Values: Application to Different Conditions around the COVID-19 Lockdown Period R. Barragan et al. https://doi.org/10.3390/rs12223699
100. What is the benefit of ceilometers for aerosol remote sensing? An answer from EARLINET M. Wiegner et al. https://doi.org/10.5194/amt-7-1979-2014
101. 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
102. Remote sensing of ground-level PM2.5 combining AOD and backscattering profile S. Li et al. https://doi.org/10.1016/j.rse.2016.05.025
103. An improved algorithm for polar cloud-base detection by ceilometer over the ice sheets K. Van Tricht et al. https://doi.org/10.5194/amt-7-1153-2014
104. 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
105. Atmospheric boundary layer height over a rain-shadow region: An intercomparison of multi-observations and model simulations P. Prasad et al. https://doi.org/10.1016/j.atmosres.2024.107566
106. An overview of the first decade of PollyNET: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling H. Baars et al. https://doi.org/10.5194/acp-16-5111-2016
107. On the spatial distribution and evolution of ultrafine particles in Barcelona M. Dall'Osto et al. https://doi.org/10.5194/acp-13-741-2013