79 citations as recorded by crossref.

1. Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021 X. Liu et al. https://doi.org/10.5194/acp-24-9597-2024
2. Aerosol Forcing from Ground-Based Synergies over a Decade in Barcelona, Spain D. Oliveira et al. https://doi.org/10.3390/rs17081439
3. The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET H. Baars et al. https://doi.org/10.5194/acp-19-15183-2019
4. Comparison of two automated aerosol typing methods and their application to an EARLINET station K. Voudouri et al. https://doi.org/10.5194/acp-19-10961-2019
5. Extreme wildfires over northern Greece during summer 2023 – Part A: Effects on aerosol optical properties and solar UV radiation K. Michailidis et al. https://doi.org/10.1016/j.atmosres.2024.107700
6. Advection of Biomass Burning Aerosols towards the Southern Hemispheric Mid-Latitude Station of Punta Arenas as Observed with Multiwavelength Polarization Raman Lidar A. Floutsi et al. https://doi.org/10.3390/rs13010138
7. Volcanic emission estimates from the inversion of ACTRIS lidar observations and their use for quantitative dispersion modeling A. Kampouri et al. https://doi.org/10.5194/acp-25-7343-2025
8. Development and Calibration of 532 nm Standard Aerosol Lidar with Low Blind Area Y. Chen et al. https://doi.org/10.3390/rs16030570
9. First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations K. Michailidis et al. https://doi.org/10.5194/acp-21-3193-2021
10. Atmospheric Boundary Layer Height Estimation from Lidar Observations: Assessment and Validation of MIPA Algorithm G. D’Amico et al. https://doi.org/10.3390/rs17162748
11. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. https://doi.org/10.5194/acp-19-11743-2019
12. Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation R. Pauly et al. https://doi.org/10.5194/amt-12-6241-2019
13. Climatological assessment of the vertically resolved optical and microphysical aerosol properties by lidar measurements, sun photometer, and in situ observations over 17 years at Universitat Politècnica de Catalunya (UPC) Barcelona S. Lolli et al. https://doi.org/10.5194/acp-23-12887-2023
14. 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
15. Observations of cold-cloud properties in the Norwegian Arctic using ground-based and spaceborne lidar B. Schäfer et al. https://doi.org/10.5194/acp-22-9537-2022
16. Air quality-driven variability in lidar-derived atmospheric optical properties in major urban agglomerations in Poland M. Karasewicz et al. https://doi.org/10.1016/j.atmosenv.2026.122105
17. Synergic use of in-situ and remote sensing techniques for comprehensive characterization of aerosol optical and microphysical properties L. Davulienė et al. https://doi.org/10.1016/j.scitotenv.2023.167585
18. Earlinet database: new design and new products for a wider use of aerosol lidar data L. Mona et al. https://doi.org/10.1051/epjconf/201817609016
19. Spatio-temporal evolution of long-range transported mineral desert dust properties over rural and urban sites in Central Europe D. Szczepanik et al. https://doi.org/10.1016/j.scitotenv.2023.166173
20. An EARLINET early warning system for atmospheric aerosol aviation hazards N. Papagiannopoulos et al. https://doi.org/10.5194/acp-20-10775-2020
21. Multiyear Typology of Long-Range Transported Aerosols over Europe V. Nicolae et al. https://doi.org/10.3390/atmos10090482
22. The mineral aerosol profiling from infrared radiances version 5.1 algorithm and its evaluation S. Vandenbussche et al. https://doi.org/10.5194/amt-19-4889-2026
23. Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements H. Baars et al. https://doi.org/10.5194/amt-10-3175-2017
24. Consistency of the Single Calculus Chain Optical Products with Archived Measurements from an EARLINET Lidar Station K. Voudouri et al. https://doi.org/10.3390/rs12233969
25. A methodology for cloud masking uncalibrated lidar signals I. Binietoglou et al. https://doi.org/10.1051/epjconf/201817605048
26. Optical Properties and Radiative Forcing Estimations of High-Altitude Aerosol Transport During Saharan Dust Events Based on Laser Remote Sensing Techniques (CLIMPACT Campaign 2021, Greece) A. Papayannis et al. https://doi.org/10.3390/rs17213607
27. 全球气溶胶激光雷达组网关键技术与数据应用现状（特邀） 刘. Liu Dong et al. https://doi.org/10.3788/AOS252047
28. Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 3: Temperature uncertainty budget T. Leblanc et al. https://doi.org/10.5194/amt-9-4079-2016
29. 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
30. Beyond Raw Backscatter: Multiscale Feature Extraction from Elastic Lidar Observations F. Cairo et al. https://doi.org/10.3390/rs18132086
31. An automatic observation-based aerosol typing method for EARLINET N. Papagiannopoulos et al. https://doi.org/10.5194/acp-18-15879-2018
32. Atmospheric boundary layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques G. Vivone et al. https://doi.org/10.5194/acp-21-4249-2021
33. EARLINET Single Calculus Chain – technical – Part 1: Pre-processing of raw lidar data G. D'Amico et al. https://doi.org/10.5194/amt-9-491-2016
34. Development of a coupled aerosol lidar data quality assurance and control scheme with Monte Carlo analysis and bilateral filtering H. Wang et al. https://doi.org/10.1016/j.scitotenv.2020.138844
35. Investigation of aerosol transport flux structure over Beijing based on lidar observations and the impact of dust transport on air quality Z. Tian et al. https://doi.org/10.5194/acp-26-4231-2026
36. Automated time–height-resolved air mass source attribution for profiling remote sensing applications M. Radenz et al. https://doi.org/10.5194/acp-21-3015-2021
37. A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. https://doi.org/10.5194/amt-17-3625-2024
38. Aeolus winds impact on volcanic ash early warning systems for aviation V. Amiridis et al. https://doi.org/10.1038/s41598-023-34715-6
39. An overview of the first decade of PollyNET: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling H. Baars et al. https://doi.org/10.5194/acp-16-5111-2016
40. 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
41. Evaluation of the Accuracy of the Aerosol Optical and Microphysical Retrievals by the GRASP Algorithm from Combined Measurements of a Polarized Sun-Sky-Lunar Photometer and a Three-Wavelength Elastic Lidar D. dos Santos Oliveira et al. https://doi.org/10.3390/rs15205010
42. Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products Y. Wang et al. https://doi.org/10.3390/rs14102342
43. The automated multiwavelength Raman polarization and water-vapor lidar PollyXT: the neXT generation R. Engelmann et al. https://doi.org/10.5194/amt-9-1767-2016
44. Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter H. Zhang et al. https://doi.org/10.5194/acp-24-10617-2024
45. Raman LIDAR for UHECR experiments: an overview of the L’Aquila (Italy) lidar station experience for the retrieval of quality-assured data M. Iarlori et al. https://doi.org/10.1051/epjconf/201714401008
46. Radiative Effect and Mixing Processes of a Long-Lasting Dust Event over Athens, Greece, during the COVID-19 Period P. Kokkalis et al. https://doi.org/10.3390/atmos12030318
47. Synergetic Multi-Instrument and Modelling Approach for the Detailed Characterisation of Rapid Transitions Between Contrasting Aerosol Regimes L. Belegante et al. https://doi.org/10.3390/rs18193296
48. EARLINET instrument intercomparison campaigns: overview on strategy and results U. Wandinger et al. https://doi.org/10.5194/amt-9-1001-2016
49. EARLINET Single Calculus Chain – technical – Part 2: Calculation of optical products I. Mattis et al. https://doi.org/10.5194/amt-9-3009-2016
50. Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 1: Vertical resolution T. Leblanc et al. https://doi.org/10.5194/amt-9-4029-2016
51. High-resolution airborne imaging DOAS measurements of NO2 above Bucharest during AROMAT A. Meier et al. https://doi.org/10.5194/amt-10-1831-2017
52. Earlinet single calculus chain: new products overview G. D’Amico et al. https://doi.org/10.1051/epjconf/201817609014
53. Effective resolution concepts for lidar observations M. Iarlori et al. https://doi.org/10.5194/amt-8-5157-2015
54. Statistical validation of Aeolus L2A particle backscatter coefficient retrievals over ACTRIS/EARLINET stations on the Iberian Peninsula J. Abril-Gago et al. https://doi.org/10.5194/acp-22-1425-2022
55. Collaborative development of the Lidar Processing Pipeline (LPP) for retrievals of atmospheric aerosols and clouds J. Pallotta et al. https://doi.org/10.5194/gi-12-171-2023
56. Validation Plans for the EarthCARE Aerosol Products Using the ATLID Lidar Simulator and the ESA and ACTRIS lidar systems P. Paschou et al. https://doi.org/10.1051/epjconf/202636208017
57. EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds H. Brenot et al. https://doi.org/10.5194/nhess-21-3367-2021
58. Validation of the TROPOMI/S5P aerosol layer height using EARLINET lidars K. Michailidis et al. https://doi.org/10.5194/acp-23-1919-2023
59. Improved algorithm for retrieving aerosol optical properties based on multi-wavelength Raman lidar S. Mao et al. https://doi.org/10.1364/OE.498749
60. A volcanic-hazard demonstration exercise to assess and mitigate the impacts of volcanic ash clouds on civil and military aviation M. Hirtl et al. https://doi.org/10.5194/nhess-20-1719-2020
61. 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
62. Consistency of the single calculus chain for climatological studies using long-term measurements from thessaloniki lidar station N. Siomos et al. https://doi.org/10.1051/epjconf/201817609007
63. A semi-automated procedure for the emitter–receiver geometry characterization of motor-controlled lidars M. Di Paolantonio et al. https://doi.org/10.5194/amt-15-1217-2022
64. Meteorological optoelectronic technology: from atmospheric observation to weather modification Z. Zhao et al. https://doi.org/10.67704/oep.2026.260011
65. Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign X. Shang et al. https://doi.org/10.5194/acp-22-3931-2022
66. Biomass burning events measured by lidars in EARLINET – Part 1: Data analysis methodology M. Adam et al. https://doi.org/10.5194/acp-20-13905-2020
67. Uncertainty estimation of aerosol properties from a Vaisala CT25k ceilometer based on in situ aerosol measurements M. Müller et al. https://doi.org/10.5194/amt-19-3031-2026
68. Large-Scale Network-Based Observations of a Saharan Dust Event across the European Continent in Spring 2022 C. Papanikolaou et al. https://doi.org/10.3390/rs16173350
69. First Ever Observations of Mineral Dust in Wintertime over Warsaw, Poland D. Szczepanik et al. https://doi.org/10.3390/rs14153788
70. The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations P. Kiriakidis et al. https://doi.org/10.5194/acp-23-4391-2023
71. Long-term systematic profiling of dust aerosol optical properties using the EOLE NTUA lidar system over Athens, Greece (2000–2016) O. Soupiona et al. https://doi.org/10.1016/j.atmosenv.2018.04.011
72. Profiling of aerosol microphysical properties at several EARLINET/AERONET sites during the July 2012 ChArMEx/EMEP campaign M. Granados-Muñoz et al. https://doi.org/10.5194/acp-16-7043-2016
73. Lalinet status - station expansion and lidar ratio systematic measurements E. Landulfo et al. https://doi.org/10.1051/epjconf/201817609002
74. Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover M. Adam et al. https://doi.org/10.3390/rs14194734
75. Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool S. Mao et al. https://doi.org/10.3390/rs16010207
76. Noise-free sensitivity test for lidar volume depolarization ratio and sun-photometer DoLP in GRASP code for a case study D. Oliveira et al. https://doi.org/10.1051/epjconf/202636210008
77. Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign A. Tsekeri et al. https://doi.org/10.5194/amt-16-6025-2023
78. 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
79. China Aerosol Raman Lidar Network (CARLNET)—Part II: Quality Assessment of Lidar Raw Data Z. Bu et al. https://doi.org/10.3390/rs18040663