74 citations as recorded by crossref.

1. Long-Term Variation of Black Carbon Absorption Aerosol Optical Depth from AERONET Data over East Asia N. Dehkhoda et al. https://doi.org/10.3390/rs12213551
2. 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
3. Spaceborne Lidar in the Study of Marine Systems C. Hostetler et al. https://doi.org/10.1146/annurev-marine-121916-063335
4. A novel approach to solve forward/inverse problems in remote sensing applications K. Stamnes et al. https://doi.org/10.3389/frsen.2022.1025447
5. A neural network aerosol-typing algorithm based on lidar data D. Nicolae et al. https://doi.org/10.5194/acp-18-14511-2018
6. Ground‐based High Spectral Resolution Lidar observation of aerosol vertical distribution in the summertime Southeast United States J. Reid et al. https://doi.org/10.1002/2016JD025798
7. Measurement report: Firework impacts on air quality in Metro Manila, Philippines, during the 2019 New Year revelry G. Lorenzo et al. https://doi.org/10.5194/acp-21-6155-2021
8. A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms G. Schuster et al. https://doi.org/10.3390/rs11050498
9. Spatio-temporal discrimination of molecular, aerosol and cloud scattering and polarization using a combination of a Raman lidar, Doppler cloud radar and microwave radiometer D. Wang et al. https://doi.org/10.1364/OE.393625
10. Comparison of scanning aerosol lidar and in situ measurements of aerosol physical properties and boundary layer heights H. Zhang et al. https://doi.org/10.5194/ar-2-135-2024
11. Aerosol-type classification based on AERONET version 3 inversion products S. Shin et al. https://doi.org/10.5194/amt-12-3789-2019
12. 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
13. Fine and coarse dust separation with polarization lidar R. Mamouri & A. Ansmann https://doi.org/10.5194/amt-7-3717-2014
14. 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
15. 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
16. Depolarization ratios retrieved by AERONET sun–sky radiometer data and comparison to depolarization ratios measured with lidar Y. Noh et al. https://doi.org/10.5194/acp-17-6271-2017
17. 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
18. 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
19. Classification of aerosol types using AERONET version 3 data over Kuwait City F. Khademi & A. Bayat https://doi.org/10.1016/j.atmosenv.2021.118716
20. Identification of fluorescent aerosol observed by a spectroscopic lidar over northwest China Y. Wang et al. https://doi.org/10.1364/OE.493557
21. Optimized profile retrievals of aerosol microphysical properties from simulated spaceborne multiwavelength Lidar D. Pérez-Ramírez et al. https://doi.org/10.1016/j.jqsrt.2020.106932
22. Vertically resolved separation of dust and other aerosol types by a new lidar depolarization method T. Luo et al. https://doi.org/10.1364/OE.23.014095
23. Automated Retrieval of Cloud and Aerosol Properties from the ARM Raman Lidar. Part II: Extinction T. Thorsen & Q. Fu https://doi.org/10.1175/JTECH-D-14-00178.1
24. About the effects of polarising optics on lidar signals and the Δ90 calibration V. Freudenthaler https://doi.org/10.5194/amt-9-4181-2016
25. Global observations of aerosol-cloud-precipitation-climate interactions D. Rosenfeld et al. https://doi.org/10.1002/2013RG000441
26. 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
27. Impact of pitch angle fluctuations on airborne lidar forward sensing along the flight direction A. Gurvich & V. Kulikov https://doi.org/10.5194/amt-10-3851-2017
28. Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models K. Dawson et al. https://doi.org/10.1002/2017JD026913
29. Single‐Scattering Properties of Encapsulated Fractal Black Carbon Particles Computed Using the Invariant Imbedding T‐Matrix Method and Deep Learning Approaches X. Wang et al. https://doi.org/10.1029/2023JD039568
30. 基于激光雷达网的沙尘通量及环境影响研究 毛. Mao Minjuan et al. https://doi.org/10.3788/LOP241783
31. Scanning vertical distributions of typical aerosols along the Yangtze River using elastic lidar S. Fan et al. https://doi.org/10.1016/j.scitotenv.2018.02.099
32. Effect of particle mixing morphology on aerosol scattering and absorption: A discrete dipole modeling study Q. Zhang & J. Thompson https://doi.org/10.1016/j.grj.2014.07.001
33. Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles A. Quirantes et al. https://doi.org/10.1016/j.atmosres.2019.06.009
34. Synergistic aircraft and ground observations of transported wildfire smoke and its impact on air quality in New York City during the summer 2018 LISTOS campaign Y. Wu et al. https://doi.org/10.1016/j.scitotenv.2021.145030
35. Vertical Profiling of Fresh Biomass Burning Aerosol Optical Properties over the Greek Urban City of Ioannina, during the PANACEA Winter Campaign C. Papanikolaou et al. https://doi.org/10.3390/atmos13010094
36. Airborne Multiwavelength High Spectral Resolution Lidar (HSRL-2) observations during TCAP 2012: vertical profiles of optical and microphysical properties of a smoke/urban haze plume over the northeastern coast of the US D. Müller et al. https://doi.org/10.5194/amt-7-3487-2014
37. An automatic aerosol classification for earlinet: application and results N. Papagiannopoulos et al. https://doi.org/10.1051/epjconf/201817609012
38. 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
39. Vertical variation of optical properties of mixed Asian dust/pollution plumes according to pathway of air mass transport over East Asia S. Shin et al. https://doi.org/10.5194/acp-15-6707-2015
40. Retrieval of optical and physical properties of African dust from multiwavelength Raman lidar measurements during the SHADOW campaign in Senegal I. Veselovskii et al. https://doi.org/10.5194/acp-16-7013-2016
41. Retrievals of aerosol single scattering albedo by multiwavelength lidar measurements: Evaluations with NASA Langley HSRL-2 during discover-AQ field campaigns D. Pérez-Ramírez et al. https://doi.org/10.1016/j.rse.2018.12.022
42. Measurement report: Cloud and environmental properties associated with aggregated shallow marine cumulus and cumulus congestus E. Crosbie et al. https://doi.org/10.5194/acp-24-6123-2024
43. 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
44. Retrieval of UVB aerosol extinction profiles from the ground-based Langley Mobile Ozone Lidar (LMOL) system L. Lei et al. https://doi.org/10.5194/amt-15-2465-2022
45. Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling E. Nowottnick et al. https://doi.org/10.3390/atmos13091439
46. Investigation of aerosol absorption with dual-polarization lidar observations Z. Huang et al. https://doi.org/10.1364/OE.390475
47. Classification of atmospheric aerosols and clouds by use of dual-polarization lidar measurements S. Qi et al. https://doi.org/10.1364/OE.430456
48. Long-term analysis of AOD separated by aerosol type in East Asia J. Shin et al. https://doi.org/10.1016/j.atmosenv.2023.119957
49. Measurements and calculations of enhanced side- and back-scattering of visible radiation by black carbon aggregates C. Haspel et al. https://doi.org/10.5194/acp-23-10091-2023
50. Characterization of smoke and dust episode over West Africa: comparison of MERRA-2 modeling with multiwavelength Mie–Raman lidar observations I. Veselovskii et al. https://doi.org/10.5194/amt-11-949-2018
51. 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
52. Laser light propagation in a turbid medium: solution including multiple scattering effects K. Stamnes et al. https://doi.org/10.1140/epjd/s10053-023-00694-6
53. Harnessing remote sensing to address critical science questions on ocean-atmosphere interactions G. Neukermans et al. https://doi.org/10.1525/elementa.331
54. Long-Term Variation Study of Fine-Mode Particle Size and Regional Characteristics Using AERONET Data J. Shin et al. https://doi.org/10.3390/rs14184429
55. 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
56. 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
57. Single-scattering albedo profiling of mixed Asian dust plumes with multiwavelength Raman lidar Y. Noh https://doi.org/10.1016/j.atmosenv.2014.06.028
58. Modelling optical properties of atmospheric black carbon aerosols M. Kahnert & F. Kanngießer https://doi.org/10.1016/j.jqsrt.2020.106849
59. An automatic observation-based aerosol typing method for EARLINET N. Papagiannopoulos et al. https://doi.org/10.5194/acp-18-15879-2018
60. Variability in lidar-derived particle properties over West Africa due to changes in absorption: towards an understanding I. Veselovskii et al. https://doi.org/10.5194/acp-20-6563-2020
61. 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
62. Autoencoding Raman Spectra to Predict Analyte Concentrations A. Poppe et al. https://doi.org/10.1002/jrs.70003
63. A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry P. Russell et al. https://doi.org/10.1002/2013JD021411
64. Clear-air lidar dark band P. Di Girolamo et al. https://doi.org/10.5194/acp-18-4885-2018
65. 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
66. Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign K. Junghenn Noyes et al. https://doi.org/10.3390/rs12223823
67. Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm L. Li et al. https://doi.org/10.5194/essd-14-3439-2022
68. Retrievals of aerosol microphysics from simulations of spaceborne multiwavelength lidar measurements D. Whiteman et al. https://doi.org/10.1016/j.jqsrt.2017.09.009
69. 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
70. 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
71. A novel retrieval algorithm of multi-longitudinal-mode high-spectral- resolution lidar based on complex degree of coherence and the analyses of absolute errors F. Gao et al. https://doi.org/10.1016/j.jqsrt.2021.107829
72. Laboratory investigations of mineral dust near-backscattering depolarization ratios E. Järvinen et al. https://doi.org/10.1016/j.jqsrt.2016.02.003
73. Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes S. Shin et al. https://doi.org/10.5194/amt-12-607-2019
74. 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