114 citations as recorded by crossref.

1. Quantifying dust deposition over the Atlantic Ocean E. Proestakis et al. https://doi.org/10.5194/essd-17-4351-2025
2. Aerosol-related effects on the occurrence of heterogeneous ice formation over Lauder, New Zealand ∕ Aotearoa J. Hofer et al. https://doi.org/10.5194/acp-24-1265-2024
3. 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
4. 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
5. TiARA (Version 2.1): Simulations of Particle Microphysical Parameters Retrievals Based on MERRA-2 Synthetic Organic Carbon–Dust Mixtures in the Context of Multiwavelength Lidar Data A. Kolgotin et al. https://doi.org/10.3390/rs18040658
6. Giant Aerosol Observations with Cloud Radar: Methodology and Effects P. Gumà-Claramunt et al. https://doi.org/10.3390/rs17030419
7. Aerosol layer heights above Tajikistan during the CADEX campaign J. Hofer et al. https://doi.org/10.1051/e3sconf/20199902009
8. 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
9. Cloud micro- and macrophysical properties from ground-based remote sensing during the MOSAiC drift experiment H. Griesche et al. https://doi.org/10.1038/s41597-024-03325-w
10. Cloud processing dominates the vertical profiles of aerosols in marine air masses over the Great Barrier Reef R. Braga et al. https://doi.org/10.1016/j.atmosres.2025.107928
11. Derived Profiles of CCN and INP Number Concentrations in the Taklimakan Desert via Combined Polarization Lidar, Sun-Photometer, and Radiosonde Observations S. Zhang et al. https://doi.org/10.3390/rs15051216
12. Estimation of cloud condensation nuclei number concentrations and comparison to in situ and lidar observations during the HOPE experiments C. Genz et al. https://doi.org/10.5194/acp-20-8787-2020
13. 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
14. Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. https://doi.org/10.5194/acp-24-3673-2024
15. 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
16. A new technique to retrieve aerosol vertical profiles using micropulse lidar and ground-based aerosol measurements B. Chen et al. https://doi.org/10.5194/amt-18-5841-2025
17. 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
18. Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. https://doi.org/10.1029/2021RG000745
19. Understanding Aerosol–Cloud Interactions through Lidar Techniques: A Review F. Cairo et al. https://doi.org/10.3390/rs16152788
20. Estimation of Sea Spray Aerosol Surface Area Over the Southern Ocean Using Scattering Measurements K. Moore et al. https://doi.org/10.1029/2022JD037009
21. Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data M. Lv et al. https://doi.org/10.1029/2017JD028102
22. 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
23. Heterogeneous Nucleation of Midlevel Cloud Layer Influenced by Transported Asian Dust Over Wuhan (30.5°N, 114.4°E), China Y. He et al. https://doi.org/10.1029/2020JD033394
24. Vertical distribution of ice nucleating particles over the boreal forest of Hyytiälä, Finland Z. Brasseur et al. https://doi.org/10.5194/acp-24-11305-2024
25. A Method of Inversing Dynamic Aerosol Extinction-to-Backscattering Ratio Based on Lidar Echo Signal and Ground Aerosol Extinction Coefficient or Aerosol Optical Depth C. Zhang et al. https://doi.org/10.1109/TGRS.2022.3152902
26. The HD(CP)2 Observational Prototype Experiment (HOPE) – an overview A. Macke et al. https://doi.org/10.5194/acp-17-4887-2017
27. 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
28. Lidar and Radar Signal Simulation: Stability Assessment of the Aerosol–Cloud Interaction Index C. Fajardo-Zambrano et al. https://doi.org/10.3390/rs14061333
29. Long-term aerosol particle depolarization ratio measurements with HALO Photonics Doppler lidar V. Le et al. https://doi.org/10.5194/amt-17-921-2024
30. Lidar/radar approach to quantify the dust impact on ice nucleation in mid and high level clouds A. Ansmann et al. https://doi.org/10.1051/e3sconf/20199904003
31. Constraining effects of aerosol-cloud interaction by accounting for coupling between cloud and land surface T. Su et al. https://doi.org/10.1126/sciadv.adl5044
32. 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
33. Retrieval of ice-nucleating particle concentrations from lidar observations and comparison with UAV in situ measurements E. Marinou et al. https://doi.org/10.5194/acp-19-11315-2019
34. Method to retrieve cloud condensation nuclei number concentrations using lidar measurements W. Tan et al. https://doi.org/10.5194/amt-12-3825-2019
35. 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
36. 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
37. Determination of Lidar Ratio for Major Aerosol Types over Western North Pacific Based on Long-Term MPLNET Data S. Wang et al. https://doi.org/10.3390/rs12172769
38. 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
39. Lidar Ice nuclei estimates and how they relate with airborne in-situ measurements E. Marinou et al. https://doi.org/10.1051/epjconf/201817605018
40. The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework C. Jimenez et al. https://doi.org/10.5194/acp-20-15247-2020
41. Lidar estimates of birch pollen number, mass, and CCN-related concentrations M. Filioglou et al. https://doi.org/10.5194/acp-25-1639-2025
42. Assimilating spaceborne lidar dust extinction can improve dust forecasts J. Escribano et al. https://doi.org/10.5194/acp-22-535-2022
43. Impacts of Water Vapor on Saharan Air Layer Radiative Heating M. Gutleben et al. https://doi.org/10.1029/2019GL085344
44. A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements G. Choudhury & M. Tesche https://doi.org/10.5194/essd-15-3747-2023
45. Aerosol effective radius governs the relationship between cloud condensation nuclei (CCN) concentration and aerosol backscatter E. Lenhardt et al. https://doi.org/10.5194/acp-25-13747-2025
46. Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements G. Choudhury & M. Tesche https://doi.org/10.5194/amt-15-639-2022
47. 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
48. Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. https://doi.org/10.5194/acp-20-15079-2020
49. Aerosol Effect on the Cloud Phase of Low‐Level Clouds Over the Arctic M. Filioglou et al. https://doi.org/10.1029/2018JD030088
50. Analytic and numeric study of polarized light propagation in turbid media for lidar applications M. Petzi et al. https://doi.org/10.1364/AO.568350
51. CCN Retrievals from Spaceborne Lidar Observations During ACEMED: Sensitivity to Smoke Parameterization A. Georgoulias et al. https://doi.org/10.3390/rs18040586
52. 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
53. Saharan dust contribution to the Caribbean summertime boundary layer – a lidar study during SALTRACE S. Groß et al. https://doi.org/10.5194/acp-16-11535-2016
54. Enabling accurate high-altitude aerosol profiling in polarized lidar via a well-calibrated spectral discriminator W. Li et al. https://doi.org/10.1364/OL.577992
55. Intercomparison of in-situ aircraft and satellite aerosol measurements in the stratosphere O. Sandvik et al. https://doi.org/10.1038/s41598-019-52089-6
56. Retrieving ice-nucleating particle concentration and ice multiplication factors using active remote sensing validated by in situ observations J. Wieder et al. https://doi.org/10.5194/acp-22-9767-2022
57. 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
58. 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
59. Advection of Biomass Burning Aerosols towards the Southern Hemispheric Mid-Latitude Station of Punta Arenas as Observed with Multiwavelength Polarization Raman Lidar A. Floutsi et al. https://doi.org/10.3390/rs13010138
60. Evaluation of aerosol number concentrations from CALIPSO with ATom airborne in situ measurements G. Choudhury et al. https://doi.org/10.5194/acp-22-7143-2022
61. Polarization Lidar: Principles and Applications X. Liu et al. https://doi.org/10.3390/photonics10101118
62. Potential of polarization/Raman lidar to separate fine dust, coarse dust, maritime, and anthropogenic aerosol profiles R. Mamouri & A. Ansmann https://doi.org/10.5194/amt-10-3403-2017
63. 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
64. Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic E. Lenhardt et al. https://doi.org/10.5194/amt-16-2037-2023
65. 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
66. A review of coarse mineral dust in the Earth system A. Adebiyi et al. https://doi.org/10.1016/j.aeolia.2022.100849
67. DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. https://doi.org/10.5194/amt-16-2353-2023
68. Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset E. Marinou et al. https://doi.org/10.5194/acp-17-5893-2017
69. Vertical profiles of cloud condensation nuclei number concentration and its empirical estimate from aerosol optical properties over the North China Plain R. Zhang et al. https://doi.org/10.5194/acp-22-14879-2022
70. A cloud-by-cloud approach for studying aerosol–cloud interaction in satellite observations F. Alexandri et al. https://doi.org/10.5194/amt-17-1739-2024
71. Hygroscopic growth obscures actual variation in anthropogenic aerosol optical depth over central China during 2010–2024 Y. He et al. https://doi.org/10.5194/acp-26-4937-2026
72. Model of Randomly Oriented Spheroids for the Retrieval of Non-Spherical Particle Microphysical Parameters from 3β + 2α + 3δ Lidar Measurements, Part 1: Structure and Analysis of the Information Content of a Central Spheroid Look-Up Table A. Kolgotin & D. Müller https://doi.org/10.3390/rs18101595
73. Cirrus-induced shortwave radiative effects depending on their optical and physical properties: Case studies using simulations and measurements C. Córdoba-Jabonero et al. https://doi.org/10.1016/j.atmosres.2020.105095
74. 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
75. 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
76. Overview of Ice Nucleating Particles Z. Kanji et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0006.1
77. Wildfire smoke triggers cirrus formation: lidar observations over the eastern Mediterranean R. Mamouri et al. https://doi.org/10.5194/acp-23-14097-2023
78. 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
79. 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
80. 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
81. Multi-seasonal measurements of the ground-level atmospheric ice-nucleating particle abundance on the North Slope of Alaska A. Pantoya et al. https://doi.org/10.5194/ar-3-253-2025
82. 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
83. Mineralogy Sensitive Immersion Freezing Parameterization in DREAM L. Ilić et al. https://doi.org/10.1029/2021JD035093
84. Lidar depolarization characterization using a reference system A. Papetta et al. https://doi.org/10.5194/amt-17-1721-2024
85. 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
86. Long-term three-dimensional distribution and transport of Saharan dust: Observation from CALIPSO, MODIS, and reanalysis data A. Merdji et al. https://doi.org/10.1016/j.atmosres.2023.106658
87. Aerosol Pollution over St. Petersburg in Different Seasons Based on the Results of Lidar Measurements from 2014 to 2022 D. Samulenkov & M. Sapunov https://doi.org/10.18412/1816-0395-2023-9-61-65
88. Radiative effects of long-range-transported Saharan air layers as determined from airborne lidar measurements M. Gutleben et al. https://doi.org/10.5194/acp-20-12313-2020
89. The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – case studies C. Jimenez et al. https://doi.org/10.5194/acp-20-15265-2020
90. Contrasting ice formation in Arctic clouds: surface-coupled vs. surface-decoupled clouds H. Griesche et al. https://doi.org/10.5194/acp-21-10357-2021
91. Retrieval and validation of cloud condensation nuclei from satellite and airborne measurements over the Indian Monsoon region A. Aravindhavel et al. https://doi.org/10.1016/j.atmosres.2023.106802
92. Californian Wildfire Smoke Over Europe: A First Example of the Aerosol Observing Capabilities of Aeolus Compared to Ground‐Based Lidar H. Baars et al. https://doi.org/10.1029/2020GL092194
93. Size-resolved cloud condensation nuclei activity of aerosol particles sampled above the mixing layer Z. Deng et al. https://doi.org/10.1080/02786826.2024.2330475
94. Ice-nucleating particle versus ice crystal number concentrationin altocumulus and cirrus layers embedded in Saharan dust:a closure study A. Ansmann et al. https://doi.org/10.5194/acp-19-15087-2019
95. 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
96. Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements G. Choudhury & M. Tesche https://doi.org/10.3390/rs14143342
97. Detrainment Dominates CCN Concentrations Around Non‐Precipitating Convective Clouds Over the Amazon R. Braga et al. https://doi.org/10.1029/2022GL100411
98. 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
99. Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration E. Gryspeerdt et al. https://doi.org/10.5194/acp-18-14351-2018
100. Continuos Monitoring of Liquid Water Clouds and Aerosols with Dual-FOV Lidar Polarization Technique C. Jimenez et al. https://doi.org/10.1051/epjconf/202023707005
101. Relationship between cloud condensation nuclei (CCN) concentration and aerosol optical depth in the Arctic region S. Ahn et al. https://doi.org/10.1016/j.atmosenv.2021.118748
102. Helicopter-borne observations of the continental background aerosol in combination with remote sensing and ground-based measurements S. Düsing et al. https://doi.org/10.5194/acp-18-1263-2018
103. Ice nucleating particles over the Eastern Mediterranean measured by unmanned aircraft systems J. Schrod et al. https://doi.org/10.5194/acp-17-4817-2017
104. 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
105. The Unmanned Systems Research Laboratory (USRL): A New Facility for UAV-Based Atmospheric Observations M. Kezoudi et al. https://doi.org/10.3390/atmos12081042
106. Significant continental source of ice-nucleating particles at the tip of Chile's southernmost Patagonia region X. Gong et al. https://doi.org/10.5194/acp-22-10505-2022
107. A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. https://doi.org/10.3390/rs12101557
108. CADEX and beyond: Installation of a new PollyXT site in Dushanbe R. Engelmann et al. https://doi.org/10.1051/e3sconf/20199902010
109. 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
110. 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
111. Estimation of dust related ice nucleating particles in the atmosphere: Comparison of profiling and in-situ measurements M. Haarig et al. https://doi.org/10.1051/e3sconf/20199904002
112. Extended POLIPHON dust conversion factor dataset for lidar-derived cloud condensation nuclei and ice-nucleating particle concentration profiles Y. He et al. https://doi.org/10.5194/amt-18-5669-2025
113. A remote sensing algorithm for vertically resolved cloud condensation nuclei number concentrations from airborne and spaceborne lidar observations P. Patel et al. https://doi.org/10.5194/acp-24-2861-2024
114. 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