118 citations as recorded by crossref.

1. Effects of regional and local atmospheric dynamics on the aerosol and CCN load over Athens S. Solomos et al. https://doi.org/10.1016/j.atmosenv.2018.10.025
2. Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations I. Veselovskii et al. https://doi.org/10.5194/amt-17-4137-2024
3. Potential of Polarization Lidar to Profile the Urban Aerosol Phase State during Haze Episodes W. Tan et al. https://doi.org/10.1021/acs.estlett.9b00695
4. Classification of atmospheric particles over the Urmia Lake: Two case studies S. Alizadeh et al. https://doi.org/10.1051/e3sconf/202457502002
5. The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET H. Baars et al. https://doi.org/10.5194/acp-19-15183-2019
6. Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. https://doi.org/10.5194/acp-17-14987-2017
7. Long-term profiling of mineral dust and pollution aerosol with multiwavelength polarization Raman lidar at the Central Asian site of Dushanbe, Tajikistan: case studies J. Hofer et al. https://doi.org/10.5194/acp-17-14559-2017
8. Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season I. Veselovskii et al. https://doi.org/10.5194/acp-25-1603-2025
9. Retrieval of aerosol liquid water content from high spectral resolution lidar J. Ren et al. https://doi.org/10.1016/j.scitotenv.2021.149423
10. Characterization of aerosol over the eastern Mediterranean by polarization-sensitive Raman lidar measurements during A-LIFE – aerosol type classification and type separation S. Groß et al. https://doi.org/10.5194/acp-25-3191-2025
11. MOSAiC studies of long-lasting mixed-phase cloud events and analysis of the liquid-phase properties of Arctic clouds C. Jimenez et al. https://doi.org/10.5194/acp-25-12955-2025
12. Derivation and validation of a refined dust product from Aeolus (L2A+) K. Rizos et al. https://doi.org/10.5194/amt-19-699-2026
13. Assimilating spaceborne lidar dust extinction can improve dust forecasts J. Escribano et al. https://doi.org/10.5194/acp-22-535-2022
14. Identification of typical dust sources in Tarim Basin based on multi-wavelength Raman polarization lidar H. Wang et al. https://doi.org/10.1016/j.atmosenv.2022.119358
15. Investigation of the Atmospheric Chemical Properties over Kuwait R. Alenezi & N. Aldaihani https://doi.org/10.1007/s11270-023-06235-6
16. Aerosol Typing from Linear estimations for the Analytical Separation (ATLAS) of complex aerosol mixtures and improved identification of microphysical parameters from multiwavelength lidar data, part 1: theory and numerical simulations A. Kolgotin & D. Müller https://doi.org/10.1364/JOSAA.537286
17. Wildfire smoke, Arctic haze, and aerosol effects on mixed-phase and cirrus clouds over the North Pole region during MOSAiC: an introduction R. Engelmann et al. https://doi.org/10.5194/acp-21-13397-2021
18. Evolution of tropospheric aerosols over central China during 2010–2024 as observed by lidar D. Jing et al. https://doi.org/10.5194/acp-25-17047-2025
19. Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain L. Wang et al. https://doi.org/10.3390/s19143186
20. HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. https://doi.org/10.5194/amt-17-693-2024
21. Performance of a dust model to predict the vertical mass concentration of an extreme Saharan dust event in the Iberian Peninsula: Comparison with continuous, elastic, polarization-sensitive lidars C. Córdoba-Jabonero et al. https://doi.org/10.1016/j.atmosenv.2019.116828
22. Fine and coarse dust radiative impact during an intense Saharan dust outbreak over the Iberian Peninsula – long-wave and net direct radiative effect M. López-Cayuela et al. https://doi.org/10.5194/acp-26-6257-2026
23. Atmospheric Dust as an Air Quality Hazard to the World Population E. Proestakis et al. https://doi.org/10.3390/rs18142403
24. Characterization of forest fire and Saharan desert dust aerosols over south-western Europe using a multi-wavelength Raman lidar and Sun-photometer V. Salgueiro et al. https://doi.org/10.1016/j.atmosenv.2021.118346
25. Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting T. Wang et al. https://doi.org/10.3390/rs13061099
26. Investigation of Volcanic Emissions in the Mediterranean: “The Etna–Antikythera Connection” A. Kampouri et al. https://doi.org/10.3390/atmos12010040
27. Realization of Multitone Continuous Wave Lidar R. Torun et al. https://doi.org/10.1109/JPHOT.2019.2922690
28. Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe A. Moustaka et al. https://doi.org/10.3390/rs16101689
29. Investigations on the Aerosol Type Classification using Machine Learning Techniques over Multiple AERONET Sites in India M. Anitha & L. Kumar https://doi.org/10.1016/j.asr.2025.12.045
30. Vertical characterization of fine and coarse dust particles during an intense Saharan dust outbreak over the Iberian Peninsula in springtime 2021 M. López-Cayuela et al. https://doi.org/10.5194/acp-23-143-2023
31. Spectrally dependent linear depolarization and lidar ratios for nonspherical smoke aerosols L. Liu & M. Mishchenko https://doi.org/10.1016/j.jqsrt.2020.106953
32. 3+2 + X: what is the most useful depolarization input for retrieving microphysical properties of non-spherical particles from lidar measurements using the spheroid model of Dubovik et al. (2006)? M. Tesche et al. https://doi.org/10.5194/amt-12-4421-2019
33. Asian dust impacts on heterogeneous ice formation at Wuhan based on polarization lidar measurements Z. Yin et al. https://doi.org/10.1016/j.atmosenv.2020.118166
34. Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al. https://doi.org/10.5194/acp-25-7741-2025
35. 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
36. Aerosol particle depolarization ratio at 1565 nm measured with a Halo Doppler lidar V. Vakkari et al. https://doi.org/10.5194/acp-21-5807-2021
37. A review of coarse mineral dust in the Earth system A. Adebiyi et al. https://doi.org/10.1016/j.aeolia.2022.100849
38. Profiles of cloud condensation nuclei, dust mass concentration, and ice-nucleating-particle-relevant aerosol properties in the Saharan Air Layer over Barbados from polarization lidar and airborne in situ measurements M. Haarig et al. https://doi.org/10.5194/acp-19-13773-2019
39. Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. https://doi.org/10.5194/amt-15-4881-2022
40. Vertical profiles of aerosol mass concentration derived by unmanned airborne in situ and remote sensing instruments during dust events D. Mamali et al. https://doi.org/10.5194/amt-11-2897-2018
41. Aerosol radiative impact during the summer 2019 heatwave produced partly by an inter-continental Saharan dust outbreak – Part 1: Short-wave dust direct radiative effect C. Córdoba-Jabonero et al. https://doi.org/10.5194/acp-21-6455-2021
42. Dust mass, cloud condensation nuclei, and ice-nucleating particle profiling with polarization lidar: updated POLIPHON conversion factors from global AERONET analysis A. Ansmann et al. https://doi.org/10.5194/amt-12-4849-2019
43. On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. https://doi.org/10.1016/j.rse.2020.111731
44. Classification of aerosol types in mega-city of Lahore (Pakistan) using ground-based remote sensing M. Khan et al. https://doi.org/10.1007/s11869-024-01511-8
45. Results of Lidar Observations of Long-Range Transport of Dust Aerosol from the Gobi and Taklamakan Deserts to the Troposphere of Vladivostok V. Lisitsa et al. https://doi.org/10.1134/S1062873824709954
46. Investigating the link between mineral dust hematite content and intensive optical properties by means of lidar measurements and aerosol modeling S. Gómez Maqueo Anaya et al. https://doi.org/10.5194/acp-25-9737-2025
47. Analysis of sulfate aerosols over Austria: a case study C. Talianu & P. Seibert https://doi.org/10.5194/acp-19-6235-2019
48. Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data F. Wang et al. https://doi.org/10.5194/amt-15-6127-2022
49. Experimental assessment of a micro-pulse lidar system in comparison with reference lidar measurements for aerosol optical properties retrieval C. Córdoba-Jabonero et al. https://doi.org/10.5194/amt-14-5225-2021
50. Characterization of a Regional Dust Storm Using RAMAN Lidar Over the Western Indian Region K. Shukla et al. https://doi.org/10.1007/s12524-023-01778-x
51. Decomposition of three aerosol types using lidar-derived depolarization ratios at two wavelengths X. Shang et al. https://doi.org/10.5194/amt-19-679-2026
52. Quantification of a long-range transport dust event in the Middle East F. Bayat et al. https://doi.org/10.1051/e3sconf/202457502001
53. Impact of water uptake on fluorescence of atmospheric aerosols: insights from Mie–Raman–fluorescence lidar measurements I. Veselovskii et al. https://doi.org/10.5194/amt-18-6039-2025
54. Using Lidar and Historical Similar Meteorological Fields to Evaluate the Impact of Anthropogenic Control on Dust Weather During COVID-19 B. Chen et al. https://doi.org/10.3389/fenvs.2021.806094
55. Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. https://doi.org/10.5194/acp-23-12821-2023
56. Vertical assessment of the mineral dust optical and microphysical properties as retrieved from the synergy between polarized micro-pulse lidar and sun/sky photometer observations using GRASP code M. López-Cayuela et al. https://doi.org/10.1016/j.atmosres.2021.105818
57. Retrievals of dust-related particle mass and ice-nucleating particle concentration profiles with ground-based polarization lidar and sun photometer over a megacity in central China Y. He et al. https://doi.org/10.5194/amt-14-5939-2021
58. Reviews and perspectives of high impact atmospheric processes in the Mediterranean S. Michaelides et al. https://doi.org/10.1016/j.atmosres.2017.11.022
59. Multiwavelength fluorescence lidar observations of smoke plumes I. Veselovskii et al. https://doi.org/10.5194/amt-16-2055-2023
60. A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. https://doi.org/10.5194/amt-17-3625-2024
61. First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust M. Haarig et al. https://doi.org/10.5194/acp-22-355-2022
62. Soil dust aerosol in the atmosphere: sources, quantities, properties (overview) A. Romanovskaya & I. Savin https://doi.org/10.19047/0136-1694-2021-109-36-95
63. Optical and Microphysical Properties of the Aerosols during a Rare Event of Biomass-Burning Mixed with Polluted Dust M. Gidarakou et al. https://doi.org/10.3390/atmos15020190
64. Quantifying dust deposition over the Atlantic Ocean E. Proestakis et al. https://doi.org/10.5194/essd-17-4351-2025
65. Long-range-transported Canadian smoke plumes in the lower stratosphere over northern France Q. Hu et al. https://doi.org/10.5194/acp-19-1173-2019
66. Tropospheric and stratospheric wildfire smoke profiling with lidar: mass, surface area, CCN, and INP retrieval A. Ansmann et al. https://doi.org/10.5194/acp-21-9779-2021
67. Remote sensing of local-dust across the Canadian Arctic S. Sayedain et al. https://doi.org/10.5194/amt-19-4553-2026
68. 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
69. Quantitative analysis of the Martian atmospheric dust cycle: Transported mass, surface dust lifting and sedimentation rates M. López-Cayuela et al. https://doi.org/10.1016/j.icarus.2023.115854
70. Dry versus wet marine particle optical properties: RH dependence of depolarization ratio, backscatter, and extinction from multiwavelength lidar measurements during SALTRACE M. Haarig et al. https://doi.org/10.5194/acp-17-14199-2017
71. On the spectral depolarisation and lidar ratio of mineral dust provided in the AERONET version 3 inversion product S. Shin et al. https://doi.org/10.5194/acp-18-12735-2018
72. Backscattering ratios of soot-contaminated dusts at triple LiDAR wavelengths: T-matrix results X. Tang et al. https://doi.org/10.1364/OE.27.000A92
73. Aerosol layer heights above Tajikistan during the CADEX campaign J. Hofer et al. https://doi.org/10.1051/e3sconf/20199902009
74. Atmospheric dust and air quality over large-cities and megacities of the world E. Proestakis et al. https://doi.org/10.5194/acp-25-14777-2025
75. 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
76. Retrieval of Aged Biomass-Burning Aerosol Properties by Using GRASP Code in Synergy with Polarized Micro-Pulse Lidar and Sun/Sky Photometer M. López-Cayuela et al. https://doi.org/10.3390/rs14153619
77. Aerosol-type classification based on AERONET version 3 inversion products S. Shin et al. https://doi.org/10.5194/amt-12-3789-2019
78. Mineral dust aerosols over the Himalayas from polarization-resolved satellite lidar observations N. Lakshmi et al. https://doi.org/10.1016/j.atmosenv.2023.119584
79. CADEX and beyond: Installation of a new PollyXT site in Dushanbe R. Engelmann et al. https://doi.org/10.1051/e3sconf/20199902010
80. Hemispheric contrasts in ice formation in stratiform mixed-phase clouds: disentangling the role of aerosol and dynamics with ground-based remote sensing M. Radenz et al. https://doi.org/10.5194/acp-21-17969-2021
81. Aeolus winds impact on volcanic ash early warning systems for aviation V. Amiridis et al. https://doi.org/10.1038/s41598-023-34715-6
82. Simultaneous Use of Ground-Based and Satellite Observation to Evaluate Atmospheric Air Pollution over Amman, Jordan H. Panahifar et al. https://doi.org/10.3390/atmos14020274
83. Lidar estimates of birch pollen number, mass, and CCN-related concentrations M. Filioglou et al. https://doi.org/10.5194/acp-25-1639-2025
84. Volcanic emission estimates from the inversion of ACTRIS lidar observations and their use for quantitative dispersion modeling A. Kampouri et al. https://doi.org/10.5194/acp-25-7343-2025
85. Long-term profiling of aerosol light extinction, particle mass, cloud condensation nuclei, and ice-nucleating particle concentration over Dushanbe, Tajikistan, in Central Asia J. Hofer et al. https://doi.org/10.5194/acp-20-4695-2020
86. Characteristics of dust aerosols within the atmospheric boundary layer and free troposphere over a tropical coastal station K. Betsy & S. Mehta https://doi.org/10.1007/s00703-025-01071-1
87. Three-dimensional dust distribution and transport over the northern hemisphere dust belt: Insights from lidar observations R. Tan et al. https://doi.org/10.1016/j.atmosres.2026.108824
88. Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool S. Mao et al. https://doi.org/10.3390/rs16010207
89. Monitoring atmospheric particulate matters using vertically resolved measurements of a polarization lidar, in-situ recordings and satellite data over Tehran, Iran H. Panahifar et al. https://doi.org/10.1038/s41598-020-76947-w
90. The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations P. Kiriakidis et al. https://doi.org/10.5194/acp-23-4391-2023
91. Investigating the dependence of mineral dust depolarization on complex refractive index and size with a laboratory polarimeter at 180.0° lidar backscattering angle A. Miffre et al. https://doi.org/10.5194/amt-16-403-2023
92. Climatology of Dust Aerosols over the Jianghan Plain Revealed with Space-Borne Instruments and MERRA-2 Reanalysis Data during 2006–2021 C. Liu et al. https://doi.org/10.3390/rs14174414
93. Aerosol optical-to-microphysical conversion factors for lidars and ceilometers from extended AERONET data analyses: POLIPHON update A. Ansmann et al. https://doi.org/10.5194/amt-19-3801-2026
94. Dust transport and advection measurement with spaceborne lidars ALADIN and CALIOP and model reanalysis data G. Dai et al. https://doi.org/10.5194/acp-22-7975-2022
95. Effects of Aerosols and Clouds on the Levels of Surface Solar Radiation and Solar Energy in Cyprus I. Fountoulakis et al. https://doi.org/10.3390/rs13122319
96. Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. https://doi.org/10.5194/acp-22-13067-2022
97. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. https://doi.org/10.5194/amt-14-309-2021
98. Quality assessment of aerosol lidars at 1064 nm in the framework of the MEMO campaign L. Wang et al. https://doi.org/10.5194/amt-16-4307-2023
99. Profiling Aerosol Liquid Water Content Using a Polarization Lidar W. Tan et al. https://doi.org/10.1021/acs.est.9b07502
100. Fine and coarse dust radiative impact during an intense Saharan dust outbreak over the Iberian Peninsula – short-wave direct radiative effect M. López-Cayuela et al. https://doi.org/10.5194/acp-25-3213-2025
101. Depolarization and lidar ratios at 355, 532, and 1064 nm and microphysical properties of aged tropospheric and stratospheric Canadian wildfire smoke M. Haarig et al. https://doi.org/10.5194/acp-18-11847-2018
102. Transboundary transport of non-east and East Asian dust observed at Dunhuang, northwest China T. Zhou et al. https://doi.org/10.1016/j.atmosenv.2023.120197
103. Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements C. Córdoba-Jabonero et al. https://doi.org/10.5194/amt-11-4775-2018
104. Advanced Bulk Optical Models Linking the Backscattering and Microphysical Properties of Mineral Dust Aerosol M. Saito & P. Yang https://doi.org/10.1029/2021GL095121
105. A measurement-driven cross-sectional method to assess the dynamics and flux of dust transport C. Lin et al. https://doi.org/10.1038/s44304-026-00166-y
106. Investigation of Aerosol Types and Vertical Distributions Using Polarization Raman Lidar over Vipava Valley L. Wang et al. https://doi.org/10.3390/rs14143482
107. Profiling of Saharan dust from the Caribbean to western Africa – Part 1: Layering structures and optical properties from shipborne polarization/Raman lidar observations F. Rittmeister et al. https://doi.org/10.5194/acp-17-12963-2017
108. POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites Y. He et al. https://doi.org/10.5194/amt-16-1951-2023
109. Classification of atmospheric aerosols over Urmia Lake based on lidar observations S. Alizadeh et al. https://doi.org/10.5194/amt-19-4477-2026
110. Wildfire smoke triggers cirrus formation: lidar observations over the eastern Mediterranean R. Mamouri et al. https://doi.org/10.5194/acp-23-14097-2023
111. An EARLINET early warning system for atmospheric aerosol aviation hazards N. Papagiannopoulos et al. https://doi.org/10.5194/acp-20-10775-2020
112. About the systematic errors of the retrieved linear depolarisation ratio due to rotated laser polarisation and rotated polarisation calibrator M. Mylonaki & V. Freudenthaler https://doi.org/10.1051/epjconf/202636201022
113. The Potential of GRASP/GARRLiC Retrievals for Dust Aerosol Model Evaluation: Case Study during the PreTECT Campaign D. Konsta et al. https://doi.org/10.3390/rs13050873
114. Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm J. Hofer et al. https://doi.org/10.5194/acp-20-9265-2020
115. Profiling Aerosol Optical Properties at the Central Asian Site of Dushanbe, Tajikistan: Pure Dust Cases J. Hofer et al. https://doi.org/10.1051/epjconf/202023702027
116. Classification of aerosols using particle linear depolarization ratio (PLDR) over seven urban locations of Asia S. Tariq et al. https://doi.org/10.1016/j.chemosphere.2024.141119
117. Classification of global aerosol types and its radiative effects using Aerosol Robotic Network (AERONET) data S. Mukhopadhyay et al. https://doi.org/10.1016/j.atmosenv.2025.121530
118. Investigation of aerosol transport flux structure over Beijing based on lidar observations and the impact of dust transport on air quality Z. Tian et al. https://doi.org/10.5194/acp-26-4231-2026