47 citations as recorded by crossref.

1. 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. 10.1016/j.rse.2022.113226
2. A machine learning paradigm for necessary observations to reduce uncertainties in aerosol climate forcing J. Redemann & L. Gao 10.1038/s41467-024-52747-y
3. Is the near-spherical shape the “new black” for smoke? A. Gialitaki et al. 10.5194/acp-20-14005-2020
4. Retrieval of aerosol microphysical properties from atmospheric lidar sounding: an investigation using synthetic measurements and data from the ACEPOL campaign W. McLean et al. 10.5194/amt-14-4755-2021
5. Retrieval of Aerosol Microphysical Properties from Multi-Wavelength Mie–Raman Lidar Using Maximum Likelihood Estimation: Algorithm, Performance, and Application Y. Chang et al. 10.3390/rs14246208
6. Polarimeter + Lidar–Derived Aerosol Particle Number Concentration J. Schlosser et al. 10.3389/frsen.2022.885332
7. 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. 10.3390/rs16132265
8. Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
9. Separate retrieval of microphysical characteristics in aerosol fractions from laser sensing data S. Samoiliva et al. 10.1016/j.jqsrt.2022.108168
10. Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES S. Burton et al. 10.1364/AO.57.006061
11. 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. 10.5194/amt-16-403-2023
12. Polarization lidar for detecting dust orientation: system design and calibration A. Tsekeri et al. 10.5194/amt-14-7453-2021
13. Spatiotemporal changes in aerosol properties by hygroscopic growth and impacts on radiative forcing and heating rates during DISCOVER-AQ 2011 D. Pérez-Ramírez et al. 10.5194/acp-21-12021-2021
14. Scattering and absorbing aerosols in the climate system J. Li et al. 10.1038/s43017-022-00296-7
15. Method to retrieve cloud condensation nuclei number concentrations using lidar measurements W. Tan et al. 10.5194/amt-12-3825-2019
16. Simultaneous reconstruction of two microphysical aerosol characteristics from the lidar data S. Samoilova et al. 10.1016/j.jqsrt.2018.10.014
17. Characterization of smoke and dust episode over West Africa: comparison of MERRA-2 modeling with multiwavelength Mie–Raman lidar observations I. Veselovskii et al. 10.5194/amt-11-949-2018
18. Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. 10.5194/amt-14-4083-2021
19. A remote sensing algorithm for vertically resolved cloud condensation nuclei number concentrations from airborne and spaceborne lidar observations P. Patel et al. 10.5194/acp-24-2861-2024
20. Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE L. Siu et al. 10.5194/amt-17-2739-2024
21. Combined use of Mie–Raman and fluorescence lidar observations for improving aerosol characterization: feasibility experiment I. Veselovskii et al. 10.5194/amt-13-6691-2020
22. 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. 10.3390/atmos14111661
23. Polar Aerosol Vertical Structures and Characteristics Observed with a High Spectral Resolution Lidar at the ARM NSA Observatory D. Zhang et al. 10.3390/rs14184638
24. Upgraded Three-Wavelength Lidar for Real-Time Observations of Volcanic Aerosol Optical and Microphysical Properties at Etna (Italy): Calibration Procedures and Measurement Tests M. Manzo et al. 10.3390/s24061762
25. Simultaneous Reconstruction of the Complex Refractive Index and the Particle Size Distribution Function from Lidar Measurements: Testing the Developed Algorithms S. Samoilova 10.1134/S1024856019060137
26. 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. 10.1016/j.rse.2018.12.022
27. Automated, unsupervised inversion of multiwavelength lidar data with TiARA: assessment of retrieval performance of microphysical parameters using simulated data D. Müller et al. 10.1364/AO.58.004981
28. A Bayesian parametric approach to the retrieval of the atmospheric number size distribution from lidar data A. Sorrentino et al. 10.5194/amt-15-149-2022
29. Atmospheric Aerosol Measurement Using High-Spectral-Resolution Lidar Methods Y. JIN 10.2184/lsj.48.11_585
30. Temporal variations in optical and microphysical properties of mineral dust and biomass burning aerosol derived from daytime Raman lidar observations over Warsaw, Poland L. Janicka et al. 10.1016/j.atmosenv.2017.09.022
31. Retrievals of aerosol microphysics from simulations of spaceborne multiwavelength lidar measurements D. Whiteman et al. 10.1016/j.jqsrt.2017.09.009
32. Information content of bistatic lidar observations of aerosols from space M. Alexandrov & M. Mishchenko 10.1364/OE.25.00A134
33. Optical and microphysical characterization of atmospheric aerosol in the Central Mediterranean during simultaneous volcanic ash and desert dust transport events A. Sannino et al. 10.1016/j.atmosres.2022.106099
34. 1064 nm rotational Raman polarization lidar for profiling aerosol and cloud characteristics L. Wang et al. 10.1364/OE.518259
35. On the use of light polarization to investigate the size, shape, and refractive index dependence of backscattering Ångström exponents A. Miffre et al. 10.1364/OL.385107
36. Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data A. Moallemi et al. 10.5194/amt-15-5619-2022
37. Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic E. Lenhardt et al. 10.5194/amt-16-2037-2023
38. Advantages of an Additional Raman Channel in Laser Sounding at Wavelengths of 355–1064 nm for Retrieving Microphysical Parameters of Atmospheric Aerosol S. Samoilova et al. 10.1134/S1024856023060179
39. Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles A. Quirantes et al. 10.1016/j.atmosres.2019.06.009
40. Retrieval of aerosol microphysical parameters based on a few optical parameters from lidar S. Li et al. 10.1002/mop.33131
41. Modelling optical properties of atmospheric black carbon aerosols M. Kahnert & F. Kanngießer 10.1016/j.jqsrt.2020.106849
42. Optimized profile retrievals of aerosol microphysical properties from simulated spaceborne multiwavelength Lidar D. Pérez-Ramírez et al. 10.1016/j.jqsrt.2020.106932
43. (UV, VIS) Laboratory evaluation of the lidar depolarization ratio of freshly emitted soot aggregates from pool fire in ambient air at exact backscattering angle L. Paulien et al. 10.1016/j.jqsrt.2020.107451
44. Potential Retrieval of Aerosol Microphysics From Multistatic Space-Borne Lidar N. Levitan et al. 10.1051/epjconf/201817605017
45. Information constraints in variational data assimilation M. Kahnert 10.1002/qj.3347
46. How much information do extinction and backscattering measurements contain about the chemical composition of atmospheric aerosol? M. Kahnert & E. Andersson 10.5194/acp-17-3423-2017
47. 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. 10.3390/atmos14071159