55 citations as recorded by crossref.

1. Optical, microphysical, mass and geometrical properties of aged volcanic particles observed over Athens, Greece, during the Eyjafjallajökull eruption in April 2010 through synergy of Raman lidar and sunphotometer measurements P. Kokkalis et al. https://doi.org/10.5194/acp-13-9303-2013
2. Vertical profiles of pure dust and mixed smoke–dust plumes inferred from inversion of multiwavelength Raman/polarization lidar data and comparison to AERONET retrievals and in situ observations D. Müller et al. https://doi.org/10.1364/AO.52.003178
3. Characterization of aerosol size properties from measurements of spectral optical depth: a global validation of the GRASP-AOD code using long-term AERONET data B. Torres & D. Fuertes https://doi.org/10.5194/amt-14-4471-2021
4. Characterization of Extremely Fresh Biomass Burning Aerosol by Means of Lidar Observations B. De Rosa et al. https://doi.org/10.3390/rs14194984
5. Lidar Ratio–Depolarization Ratio Relations of Atmospheric Dust Aerosols: The Super‐Spheroid Model and High Spectral Resolution Lidar Observations S. Kong et al. https://doi.org/10.1029/2021JD035629
6. Retrievals of vertically resolved aerosol microphysical particle parameters with regularization from spaceborne Aerosol and Carbon dioxide Detection Lidar (ACDL) Z. Bi et al. https://doi.org/10.5194/amt-18-7565-2025
7. Simultaneous reconstruction of two microphysical aerosol characteristics from the lidar data S. Samoilova et al. https://doi.org/10.1016/j.jqsrt.2018.10.014
8. Methodologies to obtain aerosol property profiles from three-wavelength elastic lidar signals M. Perrone & P. Burlizzi https://doi.org/10.1080/01431161.2015.1093193
9. A New Lidar Technique Based on Supercontinuum Laser Sources for Aerosol Soundings: Simulations and Measurements—The PERFALIS Code and the COLIBRIS Instrument F. Gaudfrin et al. https://doi.org/10.1109/TGRS.2023.3241455
10. EARLINET dust observations vs. BSC-DREAM8b modeled profiles: 12-year-long systematic comparison at Potenza, Italy L. Mona et al. https://doi.org/10.5194/acp-14-8781-2014
11. 大气气溶胶粒径分布的多波长激光雷达反演 李. Li Xiaotao et al. https://doi.org/10.3788/AOS231223
12. CIAO main upgrade: building up an ACTRIS-compliant aerosol in situ laboratory T. Laurita et al. https://doi.org/10.5194/amt-18-2373-2025
13. Profiling of fine and coarse particle mass: case studies of Saharan dust and Eyjafjallajökull/Grimsvötn volcanic plumes A. Ansmann et al. https://doi.org/10.5194/acp-12-9399-2012
14. Precise size distribution measurement of aerosol particles and fog droplets in the open atmosphere H. Di et al. https://doi.org/10.1364/OE.27.00A890
15. Multistatic aerosol–cloud lidar in space: A theoretical perspective M. Mishchenko et al. https://doi.org/10.1016/j.jqsrt.2016.07.015
16. Retrieval of aerosol properties from aerosol optical depth measurements with high temporal resolution and spectral range A. Karanikolas et al. https://doi.org/10.5194/amt-18-7651-2025
17. 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
18. Feasibility study of integral property retrieval for tropospheric aerosol from Raman lidar data using principal component analysis M. de Graaf et al. https://doi.org/10.1364/AO.52.002173
19. Effects of systematic and random errors on the retrieval of particle microphysical properties from multiwavelength lidar measurements using inversion with regularization D. Pérez-Ramírez et al. https://doi.org/10.5194/amt-6-3039-2013
20. 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
21. Vertically resolved aerosol properties by multi-wavelength lidar measurements M. Perrone et al. https://doi.org/10.5194/acp-14-1185-2014
22. 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
23. 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
24. Retrieval of spatio-temporal distributions of particle parameters from multiwavelength lidar measurements using the linear estimation technique and comparison with AERONET I. Veselovskii et al. https://doi.org/10.5194/amt-6-2671-2013
25. 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
26. 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
27. 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
28. 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
29. Vertical Structure of Dust Aerosols Observed by a Ground-Based Raman Lidar with Polarization Capabilities in the Center of the Taklimakan Desert S. Zhang et al. https://doi.org/10.3390/rs14102461
30. 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
31. 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
32. 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
33. Aerosol optical and microphysical retrievals from a hybrid multiwavelength lidar data set – DISCOVER-AQ 2011 P. Sawamura et al. https://doi.org/10.5194/amt-7-3095-2014
34. Aerosol Microphysical Particle Parameter Inversion and Error Analysis Based on Remote Sensing Data H. Di et al. https://doi.org/10.3390/rs10111753
35. A comparative study of aerosol microphysical properties retrieved from ground-based remote sensing and aircraft in situ measurements during a Saharan dust event M. Granados-Muñoz et al. https://doi.org/10.5194/amt-9-1113-2016
36. Retrieval of aerosol microphysical parameters based on a few optical parameters from lidar S. Li et al. https://doi.org/10.1002/mop.33131
37. Simultaneous Reconstruction of the Complex Refractive Index and the Particle Size Distribution Function from Lidar Measurements: Testing the Developed Algorithms S. Samoilova https://doi.org/10.1134/S1024856019060137
38. Retrieval of Aerosol Microphysical Properties from Multi-Wavelength Mie–Raman Lidar Using Maximum Likelihood Estimation: Algorithm, Performance, and Application Y. Chang et al. https://doi.org/10.3390/rs14246208
39. EARLINET: towards an advanced sustainable European aerosol lidar network G. Pappalardo et al. https://doi.org/10.5194/amt-7-2389-2014
40. Arrange and Average Algorithm for Microphysical Retrievals with A “3β+3α” Lidar Configuration E. Chemyakin et al. https://doi.org/10.1051/epjconf/201611923026
41. Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm B. Torres et al. https://doi.org/10.5194/amt-10-3743-2017
42. This is FAST: multivariate Full-permutAtion based Stochastic foresT method—improving the retrieval of fine-mode aerosol microphysical properties with multi-wavelength lidar N. Wang et al. https://doi.org/10.1016/j.rse.2022.113226
43. High temporal resolution estimates of columnar aerosol microphysical parameters from spectrum of aerosol optical depth by linear estimation: application to long-term AERONET and star-photometry measurements D. Pérez-Ramírez et al. https://doi.org/10.5194/amt-8-3117-2015
44. Characterization of forest fire smoke event near Washington, DC in summer 2013 with multi-wavelength lidar I. Veselovskii et al. https://doi.org/10.5194/acp-15-1647-2015
45. 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
46. Aerosol Characterization by Dual-Wavelength Polarization Lidar Measurements over Kochi, Japan during the Warm Seasons of 2008 to 2010 T. SAKAI et al. https://doi.org/10.2151/jmsj.2013-605
47. Arrange and average algorithm for the retrieval of aerosol parameters from multiwavelength high-spectral-resolution lidar/Raman lidar data E. Chemyakin et al. https://doi.org/10.1364/AO.53.007252
48. Information content of bistatic lidar observations of aerosols from space M. Alexandrov & M. Mishchenko https://doi.org/10.1364/OE.25.00A134
49. Measurements of Aerosol Size and Microphysical Properties: A Comparison Between Raman Lidar and Airborne Sensors P. Di Girolamo et al. https://doi.org/10.1029/2021JD036086
50. Aerosol microphysical retrievals from precision filter radiometer direct solar radiation measurements and comparison with AERONET S. Kazadzis et al. https://doi.org/10.5194/amt-7-2013-2014
51. Multi year aerosol characterization in the tropical Andes and in adjacent Amazonia using AERONET measurements D. Pérez-Ramírez et al. https://doi.org/10.1016/j.atmosenv.2017.07.037
52. Improved algorithm of aerosol particle size distribution based on remote sensing data Q. Yan et al. https://doi.org/10.1364/AO.58.008075
53. Mediterranean aerosol typing by integrating three-wavelength lidar and sun photometer measurements M. Perrone & P. Burlizzi https://doi.org/10.1007/s11356-016-6575-7
54. Retrieval of aerosol properties from direct solar irradiance data with high temporal resolution A. Karanikolas et al. https://doi.org/10.1088/1755-1315/1522/1/012012
55. Characterization of Fresh and Aged Smoke Particles Simultaneously Observed with an ACTRIS Multi-Wavelength Raman Lidar in Potenza, Italy B. De Rosa et al. https://doi.org/10.3390/rs17152538