145 citations as recorded by crossref.

1. 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
2. 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
3. Measurement report: Dust and anthropogenic aerosols' vertical distributions over northern China dense aerosols gathered at the top of the mixing layer Z. Wang et al. https://doi.org/10.5194/acp-23-14271-2023
4. Retrieval of ice-nucleating particle concentrations from lidar observations and comparison with UAV in situ measurements E. Marinou et al. https://doi.org/10.5194/acp-19-11315-2019
5. 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
6. Monitoring atmospheric particulate matters using vertically resolved measurements of a polarization lidar, in-situ recordings and satellite data over Tehran, Iran H. Panahifar et al. https://doi.org/10.1038/s41598-020-76947-w
7. Dust–air pollution dynamics over the eastern Mediterranean M. Abdelkader et al. https://doi.org/10.5194/acp-15-9173-2015
8. Aerosol-type classification based on AERONET version 3 inversion products S. Shin et al. https://doi.org/10.5194/amt-12-3789-2019
9. 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
10. Performance of a dust model to predict the vertical mass concentration of an extreme Saharan dust event in the Iberian Peninsula: Comparison with continuous, elastic, polarization-sensitive lidars C. Córdoba-Jabonero et al. https://doi.org/10.1016/j.atmosenv.2019.116828
11. Characterization of Saharan and Middle Eastern dust aerosols and their associated shortwave direct radiative effects over Cyprus G. Charalampous et al. https://doi.org/10.5194/amt-19-5753-2026
12. A Comparison of the Different Stages of Dust Events over Beijing in March 2021: The Effects of the Vertical Structure on Near-Surface Particle Concentration F. Wang et al. https://doi.org/10.3390/rs13183580
13. Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation L. She et al. https://doi.org/10.3390/rs10040490
14. Characterization of forest fire and Saharan desert dust aerosols over south-western Europe using a multi-wavelength Raman lidar and Sun-photometer V. Salgueiro et al. https://doi.org/10.1016/j.atmosenv.2021.118346
15. Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe A. Moustaka et al. https://doi.org/10.3390/rs16101689
16. Estimated desert-dust ice nuclei profiles from polarization lidar: methodology and case studies R. Mamouri & A. Ansmann https://doi.org/10.5194/acp-15-3463-2015
17. 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
18. Derivation of PM10 mass concentration from advanced satellite retrieval products based on a semi-empirical physical approach Y. Wei et al. https://doi.org/10.1016/j.rse.2021.112319
19. The Aerosol Optical Characteristics in Different Dust Events Based on a 532 nm and 355 nm Polarization Lidar in Beijing Z. Chen et al. https://doi.org/10.3390/rs15143494
20. Atmospheric Dust as an Air Quality Hazard to the World Population E. Proestakis et al. https://doi.org/10.3390/rs18142403
21. Investigation of the Atmospheric Chemical Properties over Kuwait R. Alenezi & N. Aldaihani https://doi.org/10.1007/s11270-023-06235-6
22. 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
23. 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
24. Assessment of lidar depolarization uncertainty by means of a polarimetric lidar simulator J. Bravo-Aranda et al. https://doi.org/10.5194/amt-9-4935-2016
25. Vertical Aerosol Structure Matters: Improving the AOD–PM2.5 Link for Air Quality and Exposure I. Rogozovsky et al. https://doi.org/10.1021/acs.est.6c00095
26. An EARLINET early warning system for atmospheric aerosol aviation hazards N. Papagiannopoulos et al. https://doi.org/10.5194/acp-20-10775-2020
27. Influence of long-range transported Asian dust on cirrus cloud formation over central Pacific Y. He et al. https://doi.org/10.1051/e3sconf/202457505003
28. Ice Nucleation of Cirrus Clouds Related to the Transported Dust Layer Observed by Ground-Based Lidars over Wuhan, China Y. He et al. https://doi.org/10.1007/s00376-021-1192-x
29. Vertical Structure of Aerosols and Mineral Dust Over the Bay of Bengal From Multisatellite Observations N. Lakshmi et al. https://doi.org/10.1002/2017JD027643
30. Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting T. Wang et al. https://doi.org/10.3390/rs13061099
31. Long-term characteristics of dust aerosols over central China from 2010 to 2020 observed with polarization lidar D. Jing et al. https://doi.org/10.1016/j.atmosres.2023.107129
32. Remote sensing of local-dust across the Canadian Arctic S. Sayedain et al. https://doi.org/10.5194/amt-19-4553-2026
33. A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals I. Binietoglou et al. https://doi.org/10.5194/amt-8-3577-2015
34. A review of coarse mineral dust in the Earth system A. Adebiyi et al. https://doi.org/10.1016/j.aeolia.2022.100849
35. 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
36. Scattering properties and lidar characteristics of Asian dust particles based on realistic shape models A. La Luna et al. https://doi.org/10.5194/acp-25-13359-2025
37. Dust mass, cloud condensation nuclei, and ice-nucleating particle profiling with polarization lidar: updated POLIPHON conversion factors from global AERONET analysis A. Ansmann et al. https://doi.org/10.5194/amt-12-4849-2019
38. Extreme dust storm over the eastern Mediterranean in September 2015: satellite, lidar, and surface observations in the Cyprus region R. Mamouri et al. https://doi.org/10.5194/acp-16-13711-2016
39. Potential of polarization lidar to provide profiles of CCN- and INP-relevant aerosol parameters R. Mamouri & A. Ansmann https://doi.org/10.5194/acp-16-5905-2016
40. 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
41. Reviews and perspectives of high impact atmospheric processes in the Mediterranean S. Michaelides et al. https://doi.org/10.1016/j.atmosres.2017.11.022
42. Atmospheric dust and air quality over large-cities and megacities of the world E. Proestakis et al. https://doi.org/10.5194/acp-25-14777-2025
43. 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
44. Mega Asian dust event over China on 27–31 March 2021 observed with space-borne instruments and ground-based polarization lidar Y. He et al. https://doi.org/10.1016/j.atmosenv.2022.119238
45. 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
46. Profiling of Dust and Urban Haze Mass Concentrations during the 2019 National Day Parade in Beijing by Polarization Raman Lidar Z. Wang et al. https://doi.org/10.3390/rs13163326
47. Seasonal contrast in the vertical profiles of aerosol number concentrations and size distributions over India: Implications from RAWEX aircraft campaign M. Gogoi et al. https://doi.org/10.1007/s12040-019-1246-y
48. How a mesoscale cyclonic vortex over Sahara leads to a dust outbreak in South-western Iberia F. Couto et al. https://doi.org/10.1016/j.atmosres.2020.105302
49. 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
50. Classification of aerosol types in mega-city of Lahore (Pakistan) using ground-based remote sensing M. Khan et al. https://doi.org/10.1007/s11869-024-01511-8
51. Vertical profiles of aerosol mass concentration derived by unmanned airborne in situ and remote sensing instruments during dust events D. Mamali et al. https://doi.org/10.5194/amt-11-2897-2018
52. Validation of LIRIC aerosol concentration retrievals using airborne measurements during a biomass burning episode over Athens P. Kokkalis et al. https://doi.org/10.1016/j.atmosres.2016.09.007
53. Mineral dust aerosols over the Himalayas from polarization-resolved satellite lidar observations N. Lakshmi et al. https://doi.org/10.1016/j.atmosenv.2023.119584
54. Extreme, wintertime Saharan dust intrusion in the Iberian Peninsula: Lidar monitoring and evaluation of dust forecast models during the February 2017 event A. Fernández et al. https://doi.org/10.1016/j.atmosres.2019.06.007
55. Saharan dust contribution to the Caribbean summertime boundary layer – a lidar study during SALTRACE S. Groß et al. https://doi.org/10.5194/acp-16-11535-2016
56. Assimilating spaceborne lidar dust extinction can improve dust forecasts J. Escribano et al. https://doi.org/10.5194/acp-22-535-2022
57. New insights into the Asian dust cycle derived from CALIPSO lidar measurements Y. Han et al. https://doi.org/10.1016/j.rse.2022.112906
58. Combined Characterization of Airborne Saharan Dust above Sofia, Bulgaria, during Blocking-Pattern Conditioned Dust Episode in February 2021 Z. Peshev et al. https://doi.org/10.3390/rs15153833
59. Lidar Based Separation of Polluted Dust Observed Over Warsaw (Case Study on 09 August 2013) D. Szczepanik et al. https://doi.org/10.1051/epjconf/202023702018
60. 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
61. Quantitative analysis of the Martian atmospheric dust cycle: Transported mass, surface dust lifting and sedimentation rates M. López-Cayuela et al. https://doi.org/10.1016/j.icarus.2023.115854
62. Examining the characteristics of aerosols: a statistical analysis based on a decade of lidar and photometer observations at the Eastern border of ACTRIS D. Nicolae et al. https://doi.org/10.5194/amt-19-1179-2026
63. Shipborne variable-FOV, dual-wavelength, polarized ocean lidar: design and measurements in the Western Pacific Q. Liu et al. https://doi.org/10.1364/OE.449554
64. Investigating the quality of modeled aerosol profiles based on combined lidar and sunphotometer data N. Siomos et al. https://doi.org/10.5194/acp-17-7003-2017
65. Aerosol radiative impact during the summer 2019 heatwave produced partly by an inter-continental Saharan dust outbreak – Part 1: Short-wave dust direct radiative effect C. Córdoba-Jabonero et al. https://doi.org/10.5194/acp-21-6455-2021
66. Concentrated fireworks display-induced changes in aerosol vertical characteristics and atmospheric pollutant emissions L. Duanmu et al. https://doi.org/10.1016/j.atmosenv.2024.120370
67. 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
68. 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
69. 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
70. Quantifying dust deposition over the Atlantic Ocean E. Proestakis et al. https://doi.org/10.5194/essd-17-4351-2025
71. 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
72. 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
73. On the application of scattering matrix measurements to detection and identification of major types of airborne aerosol particles: Volcanic ash, desert dust and pollen J. Gómez Martín et al. https://doi.org/10.1016/j.jqsrt.2021.107761
74. Observation of Arabian and Saharan Dust in Cyprus with a New Generation of the Smart Raman Lidar Polly R. Engelmann et al. https://doi.org/10.1051/epjconf/201611927003
75. Vertical characterization of fine and coarse dust particles during an intense Saharan dust outbreak over the Iberian Peninsula in springtime 2021 M. López-Cayuela et al. https://doi.org/10.5194/acp-23-143-2023
76. Simulated depolarization ratios for dust and smoke at laser wavelengths: implications for lidar application Z. Huang et al. https://doi.org/10.1364/OE.484335
77. Comparison of the polluted dust plume and natural dust air mass in a spring dust event in Beijing 2023 Z. Chen et al. https://doi.org/10.1016/j.jes.2024.07.003
78. Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm J. Hofer et al. https://doi.org/10.5194/acp-20-9265-2020
79. Climatology of Dust Aerosols over the Jianghan Plain Revealed with Space-Borne Instruments and MERRA-2 Reanalysis Data during 2006–2021 C. Liu et al. https://doi.org/10.3390/rs14174414
80. Optical and microphysical characterization of aerosol layers over South Africa by means of multi-wavelength depolarization and Raman lidar measurements E. Giannakaki et al. https://doi.org/10.5194/acp-16-8109-2016
81. Extended POLIPHON dust conversion factor dataset for lidar-derived cloud condensation nuclei and ice-nucleating particle concentration profiles Y. He et al. https://doi.org/10.5194/amt-18-5669-2025
82. Derivation and validation of a refined dust product from Aeolus (L2A+) K. Rizos et al. https://doi.org/10.5194/amt-19-699-2026
83. Volume-to-extinction ratio: an important property of dust A. Papetta et al. https://doi.org/10.5194/acp-26-2055-2026
84. HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. https://doi.org/10.5194/amt-17-693-2024
85. Ice nucleating particles over the Eastern Mediterranean measured by unmanned aircraft systems J. Schrod et al. https://doi.org/10.5194/acp-17-4817-2017
86. Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset E. Marinou et al. https://doi.org/10.5194/acp-17-5893-2017
87. Hygroscopicity of Different Types of Aerosol Particles: Case Studies Using Multi-Instrument Data in Megacity Beijing, China T. Wu et al. https://doi.org/10.3390/rs12050785
88. Hygroscopic growth obscures actual variation in anthropogenic aerosol optical depth over central China during 2010–2024 Y. He et al. https://doi.org/10.5194/acp-26-4937-2026
89. Polarization Lidar Detection of Agricultural Aerosol Emissions E. Gregorio et al. https://doi.org/10.1155/2018/1864106
90. A case study on the vertical distribution and characteristics of aerosols using ground-based raman lidar, satellite and model over Western India S. Saha et al. https://doi.org/10.1080/01431161.2021.1938737
91. 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
92. Investigations on the Aerosol Type Classification using Machine Learning Techniques over Multiple AERONET Sites in India M. Anitha & L. Kumar https://doi.org/10.1016/j.asr.2025.12.045
93. Quantification of a long-range transport dust event in the Middle East F. Bayat et al. https://doi.org/10.1051/e3sconf/202457502001
94. Lidar depolarization characterization using a reference system A. Papetta et al. https://doi.org/10.5194/amt-17-1721-2024
95. Asian dust impacts on heterogeneous ice formation at Wuhan based on polarization lidar measurements Z. Yin et al. https://doi.org/10.1016/j.atmosenv.2020.118166
96. Hygroscopic growth characteristics of anthropogenic aerosols over central China revealed by lidar observations D. Jing et al. https://doi.org/10.5194/amt-19-389-2026
97. Heterogeneous Nucleation of Midlevel Cloud Layer Influenced by Transported Asian Dust Over Wuhan (30.5°N, 114.4°E), China Y. He et al. https://doi.org/10.1029/2020JD033394
98. Retrieval and application of the aerosol lidar ratio based on polarized Mie lidar J. Shen et al. https://doi.org/10.1364/AO.567814
99. Classification of aerosols using particle linear depolarization ratio (PLDR) over seven urban locations of Asia S. Tariq et al. https://doi.org/10.1016/j.chemosphere.2024.141119
100. Optical characterization of pure pollen types using a multi-wavelength Raman polarization lidar X. Shang et al. https://doi.org/10.5194/acp-20-15323-2020
101. A Short Note on the Potential of Utilization of Spectral AERONET-Derived Depolarization Ratios for Aerosol Classification I. Zo & S. Shin https://doi.org/10.3390/atmos10030143
102. Vertical Variability of Temperature and Moisture in a Compound Dust-Heatwave Scenario at South-Western Iberian Peninsula: Implications for Surface Thermal Stress and CCN Predictions C. Córdoba-Jabonero et al. https://doi.org/10.3390/rs18162693
103. Retrievals of dust-related particle mass and ice-nucleating particle concentration profiles with ground-based polarization lidar and sun photometer over a megacity in central China Y. He et al. https://doi.org/10.5194/amt-14-5939-2021
104. A global analysis of diurnal variability in dust and dust mixture using CATS observations Y. Yu et al. https://doi.org/10.5194/acp-21-1427-2021
105. Measurement of the Linear Depolarization Ratio of Aged Dust at Three Wavelengths (355, 532 and 1064 nm) Simultaneously over Barbados M. Haarig et al. https://doi.org/10.1051/epjconf/201611918009
106. Fine and coarse dust radiative impact during an intense Saharan dust outbreak over the Iberian Peninsula – long-wave and net direct radiative effect M. López-Cayuela et al. https://doi.org/10.5194/acp-26-6257-2026
107. POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites Y. He et al. https://doi.org/10.5194/amt-16-1951-2023
108. Wild fire aerosol optical properties measured by lidar at Haifa, Israel B. Heese et al. https://doi.org/10.1051/epjconf/201817605049
109. 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
110. Investigating the link between mineral dust hematite content and intensive optical properties by means of lidar measurements and aerosol modeling S. Gómez Maqueo Anaya et al. https://doi.org/10.5194/acp-25-9737-2025
111. 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
112. 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
113. Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data F. Wang et al. https://doi.org/10.5194/amt-15-6127-2022
114. 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
115. 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
116. Classification of atmospheric aerosols over Urmia Lake based on lidar observations S. Alizadeh et al. https://doi.org/10.5194/amt-19-4477-2026
117. 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
118. 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
119. Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. https://doi.org/10.5194/acp-17-14987-2017
120. Optical and Microphysical Properties of the Aerosols during a Rare Event of Biomass-Burning Mixed with Polluted Dust M. Gidarakou et al. https://doi.org/10.3390/atmos15020190
121. The Potential of GRASP/GARRLiC Retrievals for Dust Aerosol Model Evaluation: Case Study during the PreTECT Campaign D. Konsta et al. https://doi.org/10.3390/rs13050873
122. Modeling and Evaluation of the Systematic Errors for the Polarization-Sensitive Imaging Lidar Technique Z. Kong et al. https://doi.org/10.3390/rs12203309
123. Effects of regional and local atmospheric dynamics on the aerosol and CCN load over Athens S. Solomos et al. https://doi.org/10.1016/j.atmosenv.2018.10.025
124. Profiling Aerosol Liquid Water Content Using a Polarization Lidar W. Tan et al. https://doi.org/10.1021/acs.est.9b07502
125. Fine and coarse dust radiative impact during an intense Saharan dust outbreak over the Iberian Peninsula – short-wave direct radiative effect M. López-Cayuela et al. https://doi.org/10.5194/acp-25-3213-2025
126. 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
127. Central Asian Dust Experiment (CADEX): Multiwavelength Polarization Raman Lidar Observations in Tajikistan J. Hofer et al. https://doi.org/10.1051/epjconf/201611918006
128. Observation and Classification of Low-Altitude Haze Aerosols Using Fluorescence–Raman–Mie Polarization Lidar in Beijing during Spring 2024 Y. Jiang et al. https://doi.org/10.3390/rs16173225
129. Three-dimensional dust distribution and transport over the northern hemisphere dust belt: Insights from lidar observations R. Tan et al. https://doi.org/10.1016/j.atmosres.2026.108824
130. The GLAM Airborne Campaign across the Mediterranean Basin P. Ricaud et al. https://doi.org/10.1175/BAMS-D-16-0226.1
131. Middle East versus Saharan dust extinction-to-backscatter ratios A. Nisantzi et al. https://doi.org/10.5194/acp-15-7071-2015
132. Profiling of Saharan dust from the Caribbean to western Africa – Part 1: Layering structures and optical properties from shipborne polarization/Raman lidar observations F. Rittmeister et al. https://doi.org/10.5194/acp-17-12963-2017
133. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al. https://doi.org/10.5194/amt-14-309-2021
134. Simultaneous Use of Ground-Based and Satellite Observation to Evaluate Atmospheric Air Pollution over Amman, Jordan H. Panahifar et al. https://doi.org/10.3390/atmos14020274
135. Transboundary transport of non-east and East Asian dust observed at Dunhuang, northwest China T. Zhou et al. https://doi.org/10.1016/j.atmosenv.2023.120197
136. Remote sensing and modelling analysis of the extreme dust storm hitting the Middle East and eastern Mediterranean in September 2015 S. Solomos et al. https://doi.org/10.5194/acp-17-4063-2017
137. Laboratory investigations of mineral dust near-backscattering depolarization ratios E. Järvinen et al. https://doi.org/10.1016/j.jqsrt.2016.02.003
138. 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
139. Mineral dust in central asia: 18-month lidar measurements in tajikistan during the central Asian dust experiment (CADEX) J. Hofer et al. https://doi.org/10.1051/epjconf/201817604001
140. Injection of mineral dust into the free troposphere during fire events observed with polarization lidar at Limassol, Cyprus A. Nisantzi et al. https://doi.org/10.5194/acp-14-12155-2014
141. Classification of atmospheric particles over the Urmia Lake: Two case studies S. Alizadeh et al. https://doi.org/10.1051/e3sconf/202457502002
142. Exceptional wildfire smoke over Greece in summer 2023: a synergistic study of aerosol optical-microphysical and UVB radiative impacts M. Gidarakou et al. https://doi.org/10.5194/acp-26-4313-2026
143. Properties of Saharan Dust Versus Local Urban Dust—A Case Study D. Szczepanik et al. https://doi.org/10.1029/2021EA001816
144. Aerosol optical-to-microphysical conversion factors for lidars and ceilometers from extended AERONET data analyses: POLIPHON update A. Ansmann et al. https://doi.org/10.5194/amt-19-3801-2026
145. Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. https://doi.org/10.5194/acp-22-13067-2022