82 citations as recorded by crossref.

1. Simultaneous polarimeter retrievals of microphysical aerosol and ocean color parameters from the “MAPP” algorithm with comparison to high-spectral-resolution lidar aerosol and ocean products S. Stamnes et al. https://doi.org/10.1364/AO.57.002394
2. Implementation of Rotational Raman Channel in Multiwavelength Aerosol Lidar to Improve Measurements of Particle Extinction and Backscattering at 532 NM I. Veselovskii et al. https://doi.org/10.1051/epjconf/201611917002
3. 100 Years of Progress in Atmospheric Observing Systems J. Stith et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0006.1
4. About the effects of polarising optics on lidar signals and the Δ90 calibration V. Freudenthaler https://doi.org/10.5194/amt-9-4181-2016
5. Quasi-monochromatic of laser echo signals on transmittance of Mach–Zehnder interferometer for UV multi-longitudinal-mode high-spectral-resolution lidar F. Gao et al. https://doi.org/10.1016/j.jqsrt.2019.05.021
6. 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 2: case studies A. Kolgotin et al. https://doi.org/10.1364/JOSAA.537287
7. The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign K. Knobelspiesse et al. https://doi.org/10.5194/essd-12-2183-2020
8. A new lidar design for operational atmospheric wind and cloud/aerosol survey from space D. Bruneau & J. Pelon https://doi.org/10.5194/amt-14-4375-2021
9. Assessment of the reliability of aerosol pollution monitoring in the atmosphere by comparing the results of lidar sensing data processing and local sampling A. Kolgotin https://doi.org/10.18698/2308-6033-2019-11-1936
10. Aerosol variability over oceans using micro-pulse lidar and photometer: insights from TRANSAMA ship-based campaign M. Sanchez-Barrero et al. https://doi.org/10.5194/amt-19-507-2026
11. Combining airborne in situ and ground-based lidar measurements for attribution of aerosol layers A. Nikandrova et al. https://doi.org/10.5194/acp-18-10575-2018
12. Preliminary Studies on Atmospheric Monitoring by Employing a Portable Unmanned Mie-Scattering Scheimpflug Lidar System Z. Liu et al. https://doi.org/10.3390/rs11070837
13. A Modified Look-Up Table Based Algorithm with a Self-Posed Scheme for Fine-Mode Aerosol Microphysical Properties Inversion by Multi-Wavelength Lidar Z. Zhou et al. https://doi.org/10.3390/rs16132265
14. Airborne Aerosol in Situ Measurements during TCAP: A Closure Study of Total Scattering E. Kassianov et al. https://doi.org/10.3390/atmos6081069
15. Model representations of aerosol layers transported from North America over the Atlantic Ocean during the Two‐Column Aerosol Project J. Fast et al. https://doi.org/10.1002/2016JD025248
16. A 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of the Cherenkov Telescope Array Observatory—Technical Design O. Ballester et al. https://doi.org/10.3390/rs17061074
17. An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast – Part 1: Analysis of Aerosols, Gases, and Wet Deposition Chemistry A. Corral et al. https://doi.org/10.1029/2020JD032592
18. Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm G. Fu et al. https://doi.org/10.5194/amt-13-553-2020
19. Vertical structure of biomass burning aerosol transported over the southeast Atlantic Ocean H. Harshvardhan et al. https://doi.org/10.5194/acp-22-9859-2022
20. Elevated aerosol layers modify the O2–O2 absorption measured by ground-based MAX-DOAS I. Ortega et al. https://doi.org/10.1016/j.jqsrt.2016.02.021
21. Aerosol and cloud data processing and optical property retrieval algorithms for the spaceborne ACDL/DQ-1 G. Dai et al. https://doi.org/10.5194/amt-17-1879-2024
22. Improved identification of the solution space of aerosol microphysical properties derived from the inversion of profiles of lidar optical data, part 1: theory A. Kolgotin et al. https://doi.org/10.1364/AO.55.009839
23. 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
24. Particulate matter concentrations derived from airborne high spectral resolution lidar measurements using machine learning regression R. Ferrare et al. https://doi.org/10.5194/amt-18-7735-2025
25. 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
26. Opinion: Aerosol remote sensing over the next 20 years L. Remer et al. https://doi.org/10.5194/acp-24-2113-2024
27. Observations of the spectral dependence of linear particle depolarization ratio of aerosols using NASA Langley airborne High Spectral Resolution Lidar S. Burton et al. https://doi.org/10.5194/acp-15-13453-2015
28. Improved identification of the solution space of aerosol microphysical properties derived from the inversion of profiles of lidar optical data, part 2: simulations with synthetic optical data A. Kolgotin et al. https://doi.org/10.1364/AO.55.009850
29. 星载高光谱分辨率激光雷达大气气溶胶和云探测研究 胡. Hu Jianbo et al. https://doi.org/10.3788/AOS231437
30. Aerosol Physical and Optical Properties and Processes in the ARM Program A. McComiskey & R. Ferrare https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0028.1
31. Fine and coarse dust separation with polarization lidar R. Mamouri & A. Ansmann https://doi.org/10.5194/amt-7-3717-2014
32. Review of airborne oceanic lidar remote sensing W. Chen et al. https://doi.org/10.1007/s44295-023-00007-y
33. Particle Microphysical Parameters and the Complex Refractive Index from 3β + 2α HSRL/Raman Lidar Measurements: Conditions of Accurate Retrieval, Retrieval Uncertainties and Constraints to Suppress the Uncertainties A. Kolgotin et al. https://doi.org/10.3390/atmos14071159
34. Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data M. Lv et al. https://doi.org/10.1029/2017JD028102
35. Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. https://doi.org/10.5194/amt-17-3121-2024
36. Biomass Burning Over the United States East Coast and Western North Atlantic Ocean: Implications for Clouds and Air Quality A. Mardi et al. https://doi.org/10.1029/2021JD034916
37. The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellite-based CCN estimates Y. Shinozuka et al. https://doi.org/10.5194/acp-15-7585-2015
38. The algorithm of microphysical-parameter profiles of aerosol and small cloud droplets based on the dual-wavelength lidar data H. Di et al. https://doi.org/10.5194/amt-17-4183-2024
39. 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
40. Analysis and manipulation of the induced changes in the state of polarization by mirror scanners A. Petrova-Mayor & S. Knudsen https://doi.org/10.1364/AO.56.004513
41. Information content and sensitivity of the 3β + 2α lidar measurement system for aerosol microphysical retrievals S. Burton et al. https://doi.org/10.5194/amt-9-5555-2016
42. Characterization of dust aerosols from ALADIN and CALIOP measurements R. Song et al. https://doi.org/10.5194/amt-17-2521-2024
43. AecroFormer: First Noise-Robust Aerosol Microphysical Retrieval With Transformer Framework for Multiwavelength Raman Lidar Data W. Zou & D. Müller https://doi.org/10.1109/TGRS.2025.3594223
44. Design of the interferometric spectral discrimination filters for a three-wavelength high-spectral-resolution lidar J. Luo et al. https://doi.org/10.1364/OE.24.027622
45. Atmospheric Aerosol Measurement Using High-Spectral-Resolution Lidar Methods Y. JIN https://doi.org/10.2184/lsj.48.11_585
46. Using Active Remote Sensing to Evaluate Cloud-Climate Feedbacks: a Review and a Look to the Future G. Mace & E. Berry https://doi.org/10.1007/s40641-017-0067-9
47. 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
48. Validation of an airborne high spectral resolution Lidar and its measurement for aerosol optical properties over Qinhuangdao, China Q. Wang et al. https://doi.org/10.1364/OE.397582
49. Automated, unsupervised inversion of multiwavelength lidar data with TiARA: assessment of retrieval performance of microphysical parameters using simulated data D. Müller et al. https://doi.org/10.1364/AO.58.004981
50. Algorithms to retrieve aerosol optical properties using lidar measurements on board the EarthCARE satellite T. Nishizawa et al. https://doi.org/10.5194/amt-19-729-2026
51. Pre-filter analysis for retrieval of microphysical particle parameters: a quality-assurance method applied to 3 backscatter (β) +2 extinction (α) optical data taken with HSRL/Raman lidar A. Kolgotin et al. https://doi.org/10.1364/AO.483151
52. Information content of bistatic lidar observations of aerosols from space M. Alexandrov & M. Mishchenko https://doi.org/10.1364/OE.25.00A134
53. 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
54. Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles A. Kolgotin et al. https://doi.org/10.1051/epjconf/201817608001
55. Improved identification of the solution space of aerosol microphysical properties derived from the inversion of profiles of lidar optical data, part 3: case studies A. Kolgotin et al. https://doi.org/10.1364/AO.57.002499
56. Detection of atmospheric temperature by using polarization high-spectral-resolution lidar J. Wang et al. https://doi.org/10.1364/AO.412676
57. LITES: rotational Raman spectra of air molecules measured by high-resolution-spectroscopy lidar B. Tatarov & D. Müller https://doi.org/10.1364/OL.420070
58. Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES S. Burton et al. https://doi.org/10.1364/AO.57.006061
59. Spaceborne Lidar in the Study of Marine Systems C. Hostetler et al. https://doi.org/10.1146/annurev-marine-121916-063335
60. 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
61. 355-nm high spectral resolution airborne lidar LNG: system description and first results D. Bruneau et al. https://doi.org/10.1364/AO.54.008776
62. Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 1: assessing E3SM aerosol predictions using aircraft, ship, and surface measurements S. Tang et al. https://doi.org/10.5194/gmd-15-4055-2022
63. Comparison of Aerosol Optical and Microphysical Retrievals from HSRL-2 and in-Situ Measurements During DISCOVER-AQ 2013 (California and Texas) P. Sawamura et al. https://doi.org/10.1051/epjconf/201611923014
64. K-nearest neighbors approximation for the multiwavelength lidar retrieval of bimodal aerosol microphysical properties Z. Chen et al. https://doi.org/10.1364/AO.577119
65. Closing the gap: an algorithmic approach to reconciling in-situ and remotely sensed aerosol properties J. Schlosser et al. https://doi.org/10.5194/amt-18-7187-2025
66. Tentative detection of clear-air turbulence using a ground-based Rayleigh lidar A. Hauchecorne et al. https://doi.org/10.1364/AO.55.003420
67. Retrieval of aerosol microphysical properties from atmospheric lidar sounding: an investigation using synthetic measurements and data from the ACEPOL campaign W. McLean et al. https://doi.org/10.5194/amt-14-4755-2021
68. Charting the ocean’s hidden dimension: Lidar advancements in quantifying marine ecosystems and the carbon cycle P. Chen et al. https://doi.org/10.1016/j.xinn.2026.101436
69. Multistatic aerosol–cloud lidar in space: A theoretical perspective M. Mishchenko et al. https://doi.org/10.1016/j.jqsrt.2016.07.015
70. HSRL-2 aerosol optical measurements and microphysical retrievals vs. airborne in situ measurements during DISCOVER-AQ 2013: an intercomparison study P. Sawamura et al. https://doi.org/10.5194/acp-17-7229-2017
71. Demonstration of aerosol profile measurement with a dual-wavelength high-spectral-resolution lidar using a scanning interferometer Y. Jin et al. https://doi.org/10.1364/AO.451707
72. 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
73. Quantifying Discrepancies Between Spaceborne and Ground-Based Lidar Aerosol Vertical Profiles over Coastal Sea–Land Transition Zones S. Zhang et al. https://doi.org/10.3390/rs18101491
74. Use of rotational Raman measurements in multiwavelength aerosol lidar for evaluation of particle backscattering and extinction I. Veselovskii et al. https://doi.org/10.5194/amt-8-4111-2015
75. Aerosol–Cloud–Meteorology Interaction Airborne Field Investigations: Using Lessons Learned from the U.S. West Coast in the Design of ACTIVATE off the U.S. East Coast A. Sorooshian et al. https://doi.org/10.1175/BAMS-D-18-0100.1
76. Gradient Correlation Method for the Stabilization of Inversion Results of Aerosol Microphysical Properties Retrieved from Profiles of Optical Data A. Kolgotin et al. https://doi.org/10.1051/epjconf/201611923020
77. The CU 2-D-MAX-DOAS instrument – Part 2: Raman scattering probability measurements and retrieval of aerosol optical properties I. Ortega et al. https://doi.org/10.5194/amt-9-3893-2016
78. 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
79. Retrieval of aerosol parameters from multiwavelength lidar: investigation of the underlying inverse mathematical problem E. Chemyakin et al. https://doi.org/10.1364/AO.55.002188
80. ORACLES Campaign, September 2016: Inversion of HSRL-2 Observations with Regularization Algorithm into Particle Microphysical Parameters and Comparison to Airborne In-Situ Data A. Kolgotin et al. https://doi.org/10.3390/atmos14111661
81. Harnessing remote sensing to address critical science questions on ocean-atmosphere interactions G. Neukermans et al. https://doi.org/10.1525/elementa.331
82. 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