50 citations as recorded by crossref.

1. Studies of the Orientation of Crystalline Particles in Ice Clouds by a Scanning Lidar G. Kokhanenko et al. https://doi.org/10.1134/S1024856022050141
2. Experimental determination of the lidar ratio for cirrus and polar stratospheric clouds at Dome C, Antarctica, using a Young inversion F. Cairo et al. https://doi.org/10.5194/amt-19-5193-2026
3. Locations for the best lidar view of mid-level and high clouds M. Tesche & V. Noel https://doi.org/10.5194/amt-15-4225-2022
4. CALIPSO lidar calibration at 1064 nm: version 4 algorithm M. Vaughan et al. https://doi.org/10.5194/amt-12-51-2019
5. Stable Mode-Locked Operation With High Temperature Characteristics of a Two-Section InGaAs/GaAs Double Quantum Wells Laser Z. Qiao et al. https://doi.org/10.1109/ACCESS.2021.3051179
6. Multi-channel aerosol Raman polarization Lidar for 3α + 3β + 3δ and meteorological parameters profiling A. Wang et al. https://doi.org/10.1016/j.optlastec.2026.115893
7. Scanning polarization lidar LOSA-M3: opportunity for research of crystalline particle orientation in the ice clouds G. Kokhanenko et al. https://doi.org/10.5194/amt-13-1113-2020
8. 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
9. Spectral dependence of backscattering coefficient of mixed phase clouds over West Africa measured with two-wavelength Raman polarization lidar: Features attributed to ice-crystals corner reflection I. Veselovskii et al. https://doi.org/10.1016/j.jqsrt.2017.07.028
10. 1064 nm InGaAsP multi-junction laser power converters via reverse-bias method D. Feng et al. https://doi.org/10.1364/OE.587964
11. Impact of wildfire smoke on Arctic cirrus formation – Part 1: Analysis of MOSAiC 2019–2020 observations A. Ansmann et al. https://doi.org/10.5194/acp-25-4847-2025
12. Measurement report: Comparison of airborne, in situ measured, lidar-based, and modeled aerosol optical properties in the central European background – identifying sources of deviations S. Düsing et al. https://doi.org/10.5194/acp-21-16745-2021
13. 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
14. Using paraxial approximation to describe the optical setup of a typical EARLINET lidar system P. Kokkalis https://doi.org/10.5194/amt-10-3103-2017
15. Triple-wavelength depolarization-ratio profiling of Saharan dust over Barbados during SALTRACE in 2013 and 2014 M. Haarig et al. https://doi.org/10.5194/acp-17-10767-2017
16. Wildfire Smoke in the Stratosphere Over Europe–First Measurements of Depolarization and Lidar Ratios at 355, 532, and 1064 nm M. Haarig et al. https://doi.org/10.1051/epjconf/202023702036
17. Examining impacts of mass‐diameter (m‐D) and area‐diameter (A‐D) relationships of ice particles on retrievals of effective radius and ice water content from radar and lidar measurements S. Ham et al. https://doi.org/10.1002/2016JD025672
18. 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
19. Optical properties of marine aerosol: modelling the transition from dry, irregularly shaped crystals to brine-coated, dissolving salt particles M. Kahnert & F. Kanngießer https://doi.org/10.1016/j.jqsrt.2022.108408
20. 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
21. Mass concentration estimates of long-range-transported Canadian biomass burning aerosols from a multi-wavelength Raman polarization lidar and a ceilometer in Finland X. Shang et al. https://doi.org/10.5194/amt-14-6159-2021
22. 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
23. 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
24. 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
25. Improved Aerosol Lidar Ratio Profile by Introducing Pseudo-Constant H. Ji et al. https://doi.org/10.1109/TGRS.2023.3246050
26. First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust M. Haarig et al. https://doi.org/10.5194/acp-22-355-2022
27. Tropospheric sulfate from Cumbre Vieja (La Palma) observed over Cabo Verde contrasted with background conditions: a lidar case study of aerosol extinction, backscatter, depolarization and lidar ratio profiles at 355, 532 and 1064 nm H. Gebauer et al. https://doi.org/10.5194/acp-24-5047-2024
28. Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation R. Pauly et al. https://doi.org/10.5194/amt-12-6241-2019
29. Ice crystal number concentration from lidar, cloud radar and radar wind profiler measurements J. Bühl et al. https://doi.org/10.5194/amt-12-6601-2019
30. Measurements of particle extinction coefficients at 1064 nm with lidar: temperature dependence of rotational Raman channels A. Wang et al. https://doi.org/10.1364/OE.514608
31. 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. https://doi.org/10.1134/S1024856023060179
32. Quality assessment of aerosol lidars at 1064 nm in the framework of the MEMO campaign L. Wang et al. https://doi.org/10.5194/amt-16-4307-2023
33. Is Near-Spherical Shape “the New Black” for Smoke ? A. Gialitaki et al. https://doi.org/10.1051/epjconf/202023702017
34. Retrieval of the aerosol extinction coefficient of 1064nm based on high-spectral-resolution lidar S. Li et al. https://doi.org/10.1016/j.jqsrt.2020.107298
35. Improved algorithm for retrieving aerosol optical properties based on multi-wavelength Raman lidar S. Mao et al. https://doi.org/10.1364/OE.498749
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. 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
38. Current Research in Lidar Technology Used for the Remote Sensing of Atmospheric Aerosols A. Comerón et al. https://doi.org/10.3390/s17061450
39. 1064 nm rotational Raman polarization lidar for profiling aerosol and cloud characteristics L. Wang et al. https://doi.org/10.1364/OE.518259
40. Measurements of particle backscatter, extinction, and lidar ratio at 1064 nm with the rotational raman method in Polly-XT R. Engelmann et al. https://doi.org/10.1051/epjconf/201817601004
41. Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al. https://doi.org/10.5194/acp-25-7741-2025
42. Implementation of UV rotational Raman channel to improve aerosol retrievals from multiwavelength lidar P. Ortiz-Amezcua et al. https://doi.org/10.1364/OE.383441
43. 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. https://doi.org/10.1016/j.atmosenv.2017.09.022
44. Novel Inversion Algorithm for the Atmospheric Aerosol Extinction Coefficient Based on an Improved Genetic Algorithm M. Hu et al. https://doi.org/10.3390/photonics9080554
45. High Spectral Resolution Scheimpflug Lidar for Atmospheric Aerosol Sensing Y. Chang et al. https://doi.org/10.1002/lpor.202500897
46. A Comparative Analysis of Aerosol Optical Coefficients and Their Associated Errors Retrieved from Pure-Rotational and Vibro-Rotational Raman Lidar Signals J. Zenteno-Hernández et al. https://doi.org/10.3390/s21041277
47. 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
48. Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation A. Geisinger et al. https://doi.org/10.5194/amt-10-4705-2017
49. Depolarization and lidar ratios at 355, 532, and 1064 nm and microphysical properties of aged tropospheric and stratospheric Canadian wildfire smoke M. Haarig et al. https://doi.org/10.5194/acp-18-11847-2018
50. Spectrally dependent linear depolarization and lidar ratios for nonspherical smoke aerosols L. Liu & M. Mishchenko https://doi.org/10.1016/j.jqsrt.2020.106953