488 citations as recorded by crossref.

1. 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
2. Retrievals of smoke particle properties using AirMSPI measurements acquired during FIREX-AQ field campaign B. Chen et al. https://doi.org/10.1016/j.atmosenv.2026.121960
3. Adjoint methods for adjusting three-dimensional atmosphere and surface properties to fit multi-angle/multi-pixel polarimetric measurements W. Martin et al. https://doi.org/10.1016/j.jqsrt.2014.03.030
4. Direct radiative effect of the Russian wildfires and its impact on air temperature and atmospheric dynamics during August 2010 J. Péré et al. https://doi.org/10.5194/acp-14-1999-2014
5. Retrieval of aerosol composition from spectral aerosol optical depth and optical properties using a machine learning approach D. Ji et al. https://doi.org/10.5194/amt-19-421-2026
6. Overview of the SLOPE I and II campaigns: aerosol properties retrieved with lidar and sun–sky photometer measurements J. Benavent-Oltra et al. https://doi.org/10.5194/acp-21-9269-2021
7. Advances and challenges of machine learning in satellite-based atmospheric NO2 monitoring R. Zhang et al. https://doi.org/10.1016/j.apr.2026.103066
8. Improvement of Space-Observation of Aerosol Chemical Composition by Synergizing a Chemical Transport Model and Ground-Based Network Data Z. Li et al. https://doi.org/10.3390/rs16234390
9. Satellite retrieval of aerosol microphysical and optical parameters using neural networks: a new methodology applied to the Sahara desert dust peak M. Taylor et al. https://doi.org/10.5194/amt-7-3151-2014
10. Atmospheric Aerosol Over Ukraine Region: Current Status of Knowledge and Research Efforts G. Milinevsky & V. Danylevsky https://doi.org/10.3389/fenvs.2018.00059
11. Extinction-related Angström exponent characterization of submicrometric volume fraction in atmospheric aerosol particles A. Quirantes et al. https://doi.org/10.1016/j.atmosres.2019.06.009
12. Carbonaceous aerosols remote sensing from geostationary satellite observation, Part I: Algorithm development using critical reflectance F. Bao et al. https://doi.org/10.1016/j.rse.2023.113459
13. Porous aerosol in degassing plumes of Mt. Etna and Mt. Stromboli V. Shcherbakov et al. https://doi.org/10.5194/acp-16-11883-2016
14. Assessing Superspheroids in Modeling the Scattering Matrices of Dust Aerosols W. Lin et al. https://doi.org/10.1029/2018JD029464
15. A unified approach to infrared aerosol remote sensing and type specification L. Clarisse et al. https://doi.org/10.5194/acp-13-2195-2013
16. Enhancement of aerosol characterization using synergy of lidar and sun-photometer coincident observations: the GARRLiC algorithm A. Lopatin et al. https://doi.org/10.5194/amt-6-2065-2013
17. Continental aerosol properties and absorption retrieval using random forest machine learning method specific to geostationary remote sensing F. Bao et al. https://doi.org/10.1016/j.rse.2024.114275
18. Sensitivity of PARASOL multi-angle photopolarimetric aerosol retrievals to cloud contamination F. Stap et al. https://doi.org/10.5194/amt-8-1287-2015
19. Polarimetric coordinate validation for merging GRASP and AirMSPI FIREX-AQ observations C. DeLeon et al. https://doi.org/10.1016/j.jqsrt.2024.108910
20. Evaluation and uncertainty analysis of Himawari-8 hourly aerosol product version 3.1 and its influence on surface solar radiation before and during the COVID-19 outbreak C. Tang et al. https://doi.org/10.1016/j.scitotenv.2023.164456
21. Transmission and division of total optical depth method: A universal calibration method for Sun photometric measurements M. Zhang et al. https://doi.org/10.1002/2016GL068031
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23. Instantaneous aerosol and surface retrieval using satellites in geostationary orbit (iAERUS-GEO) – estimation of 15 min aerosol optical depth from MSG/SEVIRI and evaluation with reference data X. Ceamanos et al. https://doi.org/10.5194/amt-16-2575-2023
24. Remote sensing of aerosol properties over the ocean using near-infrared and shortwave infrared multiangular polarimetry: information content analysis Y. Wei et al. https://doi.org/10.1364/OE.562547
25. Variability of aerosol properties over Eastern Europe observed from ground and satellites in the period from 2003 to 2011 A. Bovchaliuk et al. https://doi.org/10.5194/acp-13-6587-2013
26. Evaluation of MERRA-2 Aerosol Optical and Component Properties over China Using SONET and PARASOL/GRASP Data Y. Ou et al. https://doi.org/10.3390/rs14040821
27. K-nearest neighbors approximation for the multiwavelength lidar retrieval of bimodal aerosol microphysical properties Z. Chen et al. https://doi.org/10.1364/AO.577119
28. Efficient calculation of radiative intensity including the polarization effect in moderately thick atmospheres using a truncation approximation M. Momoi et al. https://doi.org/10.1016/j.jqsrt.2021.107976
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31. Adaptation of the delta- m and δ -fit truncation methods to vector radiative transfer: Effect of truncation on radiative transfer accuracy S. Sanghavi & G. Stephens https://doi.org/10.1016/j.jqsrt.2015.03.007
32. Consistent estimation of multiple parameters from MODIS top of atmosphere reflectance data using a coupled soil-canopy-atmosphere radiative transfer model H. Shi et al. https://doi.org/10.1016/j.rse.2016.06.008
33. Comparison of diurnal aerosol products retrieved from combinations of micro-pulse lidar and sun photometer observations over the KAUST observation site A. Lopatin et al. https://doi.org/10.5194/amt-17-4445-2024
34. Aerosol retrieval from space – how does geometry of acquisition impact our ability to characterize aerosol properties B. Fougnie et al. https://doi.org/10.1016/j.jqsrt.2020.107304
35. Derived Profiles of CCN and INP Number Concentrations in the Taklimakan Desert via Combined Polarization Lidar, Sun-Photometer, and Radiosonde Observations S. Zhang et al. https://doi.org/10.3390/rs15051216
36. Variability of surface aerosol properties at an urban site in Beijing based on two years of in-situ measurements L. Chang et al. https://doi.org/10.1016/j.atmosres.2021.105562
37. Initial Assessment of the Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR)-Based Aerosol Retrieval: Sensitivity Study E. Kassianov et al. https://doi.org/10.3390/atmos3040495
38. 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
39. Retrieval of aerosol properties from ceilometer and photometer measurements: long-term evaluation with in situ data and statistical analysis at Montsec (southern Pyrenees) G. Titos et al. https://doi.org/10.5194/amt-12-3255-2019
40. Using satellite multi-angle polarization measurements to characterize atmospheric aerosol above Bohai Bay P. Salyuk et al. https://doi.org/10.1016/j.asr.2023.10.007
41. Impact of dust aerosol optical parameter variations on radiative polarization effects L. BAI et al. https://doi.org/10.7498/aps.75.20260380
42. Optimization of the Polarized Imaging Nephelometer (PI-Neph) for continuous monitoring of multiwavelength aerosol phase functions in support of space polarimetry missions E. Bazo et al. https://doi.org/10.1016/j.atmosenv.2023.120181
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44. Algorithm evaluation for polarimetric remote sensing of atmospheric aerosols O. Hasekamp et al. https://doi.org/10.5194/amt-17-1497-2024
45. Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data A. Moallemi et al. https://doi.org/10.5194/amt-15-5619-2022
46. Satellite retrieval of the linear polarization components of the water-leaving radiance in open oceans T. Pan et al. https://doi.org/10.1364/OE.489680
47. New satellite project Aerosol-UA: Remote sensing of aerosols in the terrestrial atmosphere G. Milinevsky et al. https://doi.org/10.1016/j.actaastro.2016.02.027
48. Accounting for particle non-sphericity in modeling of mineral dust radiative properties in the thermal infrared M. Legrand et al. https://doi.org/10.1016/j.jqsrt.2014.07.014
49. Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model H. Wang et al. https://doi.org/10.1029/2019JD032097
50. Shortwave radiative forcing and efficiency of key aerosol types using AERONET data O. García et al. https://doi.org/10.5194/acp-12-5129-2012
51. Inferring Fine-Mode and Coarse-Mode Aerosol Complex Refractive Indices from AERONET Inversion Products over China Q. Chen et al. https://doi.org/10.3390/atmos10030158
52. Global quantification of the dispersion effect with POLDER satellite data H. Wang et al. https://doi.org/10.1038/s41467-025-62238-3
53. Analysis of Aerosol Radiative Forcing over Beijing under Different Air Quality Conditions Using Ground-Based Sun-Photometers between 2013 and 2015 W. Chen et al. https://doi.org/10.3390/rs8060510
54. A Satellite Data Based Detailed Study of the Aerosol Emitted from Open Biomass Burning in Northeast China S. Shi et al. https://doi.org/10.3390/atmos12121700
55. Informing ocean color inversion products by seeding with ancillary observations K. Bisson et al. https://doi.org/10.1364/OE.503496
56. Validation of ceilometer aerosol profile retrievals using sun–sky photometer and balloon-borne in situ measurements J. Muñiz-Rosado et al. https://doi.org/10.5194/acp-26-10255-2026
57. Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. https://doi.org/10.5194/acp-21-2637-2021
58. Optimization of Aerosol Model Selection for TROPOMI/S5P L. Rao et al. https://doi.org/10.3390/rs13132489
59. Aerosol optical depth and fine-mode fraction retrieval over East Asia using multi-angular total and polarized remote sensing T. Cheng et al. https://doi.org/10.5194/amt-5-501-2012
60. Probing the dynamic characteristics of aerosol originated from South Asia biomass burning using POLDER/GRASP satellite data with relevant accessory technique design S. Shi et al. https://doi.org/10.1016/j.envint.2020.106097
61. Emission-Based Machine Learning Approach for Large-Scale Estimates of Black Carbon in China Y. Li et al. https://doi.org/10.3390/rs16050837
62. Adaptation of the CIMEL-318T to shipborne use: 3 years of automated AERONET-compatible aerosol measurements on board the research vessel Marion Dufresne B. Torres et al. https://doi.org/10.5194/amt-18-4809-2025
63. Retrieving aerosols single scattering albedo from MODIS reflectances Q. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106381
64. Simultaneous retrieval of aerosol optical depth, spectral absorption and layer height from DSCOVR EPIC using MAIAC algorithm A. Lyapustin et al. https://doi.org/10.3389/frsen.2025.1677438
65. Single Scattering Albedo of High Loading Aerosol Estimated Across East Asia From S-NPP VIIRS F. Bao et al. https://doi.org/10.1109/TGRS.2021.3076796
66. Retrieving aerosol single scattering albedo from FY-3D observations combining machine learning with radiative transfer model Q. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107884
67. An efficient approach to estimate the transmittance and reflectance of a mixture of aerosol components X. Ceamanos et al. https://doi.org/10.1016/j.atmosres.2013.09.009
68. Assessing Landsat-8 atmospheric correction schemes in low to moderate turbidity waters from a global perspective N. Yan et al. https://doi.org/10.1080/17538947.2022.2161651
69. Aerosol optical and radiative properties and their environmental effects in China: A review H. Che et al. https://doi.org/10.1016/j.earscirev.2023.104634
70. How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer https://doi.org/10.1029/2020EA001290
71. Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. https://doi.org/10.5194/amt-13-5207-2020
72. Optimal estimation retrieval for directional polarimetric camera onboard Chinese Gaofen-5 satellite: an analysis on multi-angle dependence and a posteriori error F. Zheng et al. https://doi.org/10.7498/aps.68.20181682
73. Combined neural network/Phillips–Tikhonov approach to aerosol retrievals over land from the NASA Research Scanning Polarimeter A. Di Noia et al. https://doi.org/10.5194/amt-10-4235-2017
74. 面向气溶胶垂直分布探测的高光谱偏振遥感信息量评估与通道优化研究（特邀） 陈. Chen Yuanlin et al. https://doi.org/10.3788/AOS260529
75. Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data V. Bovchaliuk et al. https://doi.org/10.5194/amt-9-3391-2016
76. Retrieval of aerosol properties from ground-based polarimetric sky-radiance measurements under cloudy conditions H. Grob et al. https://doi.org/10.1016/j.jqsrt.2019.02.025
77. Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI F. Yin et al. https://doi.org/10.5194/gmd-15-7933-2022
78. An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. https://doi.org/10.1016/j.jqsrt.2020.107161
79. Retrieval of aerosol size distribution from multi-angle polarized measurements assisted by intensity measurements over East China Z. Wang et al. https://doi.org/10.1016/j.rse.2012.06.021
80. AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. https://doi.org/10.3390/rs10050699
81. Utilization of AERONET polarimetric measurements for improving retrieval of aerosol microphysics: GSFC, Beijing and Dakar data analysis A. Fedarenka et al. https://doi.org/10.1016/j.jqsrt.2016.03.021
82. Effects of the shape distribution of aerosol particles on their volumetric scattering properties and the radiative transfer through the atmosphere that includes polarization L. Li et al. https://doi.org/10.1364/AO.58.001475
83. Synergy processing of diverse ground-based remote sensing and in situ data using the GRASP algorithm: applications to radiometer, lidar and radiosonde observations A. Lopatin et al. https://doi.org/10.5194/amt-14-2575-2021
84. An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. https://doi.org/10.3390/rs14164045
85. Retrieval of aerosol optical depth from INSAT-3DR for accurate geostationary monitoring of regional and temporal aerosol dynamics C. Tandule et al. https://doi.org/10.1016/j.atmosenv.2025.121730
86. Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. https://doi.org/10.1029/2020EF001520
87. Properties of aerosol and surface derived from OLCI/Sentinel-3A using GRASP approach: Retrieval development and preliminary validation C. Chen et al. https://doi.org/10.1016/j.rse.2022.113142
88. GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia M. Choi et al. https://doi.org/10.5194/amt-11-385-2018
89. Spatio-Temporal Variability of Aerosol Components, Their Optical and Microphysical Properties over North China during Winter Haze in 2012, as Derived from POLDER/PARASOL Satellite Observations Y. Ou et al. https://doi.org/10.3390/rs13142682
90. Systematic Assessment of MODTRAN Emulators for Atmospheric Correction J. Vicent Servera et al. https://doi.org/10.1109/TGRS.2021.3071376
91. Comparative assessment of GRASP algorithm for a dust event over Granada (Spain) during ChArMEx-ADRIMED 2013 campaign J. Benavent-Oltra et al. https://doi.org/10.5194/amt-10-4439-2017
92. Impact of Vertical Profiles of Aerosols on the Photolysis Rates in the Lower Troposphere from the Synergy of Photometer and Ceilometer Measurements in Raciborz, Poland, for the Period 2015–2020 A. Pietruczuk et al. https://doi.org/10.3390/rs14051057
93. Analysis of Atmospheric Aerosol Changes in the Qinghai-Tibetan Plateau Region during 2009–2019 Using a New Fusion Algorithm Z. Zhao & H. Tonooka https://doi.org/10.3390/atmos15060712
94. Global trends in the aerosol optical, physical, and morphological properties obtained using multi-sensor measurements G. Gupta et al. https://doi.org/10.1016/j.atmosenv.2022.119569
95. The Simulated Source Apportionment of Light Absorbing Aerosols: Effects of Microphysical Properties of Partially‐Coated Black Carbon J. Luo et al. https://doi.org/10.1029/2022JD037291
96. Development of a hybrid algorithm for the simultaneous retrieval of aerosol optical thickness and fine-mode fraction from multispectral satellite observation combining radiative transfer and transfer learning approaches C. Tang et al. https://doi.org/10.1016/j.rse.2025.114619
97. 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
98. The modern aerosol retrieval algorithms based on the simultaneous measurements of the intensity and polarization of reflected solar light: a review A. Kokhanovsky https://doi.org/10.3389/fenvs.2015.00004
99. Modeling Bidirectional Polarization Distribution Function of Land Surfaces Using Machine Learning Techniques S. Liu et al. https://doi.org/10.3390/rs12233891
100. Polarized Remote Inversion of the Refractive Index of Marine Spilled Oil From PARASOL Images Under Sunglint Y. Zhou et al. https://doi.org/10.1109/TGRS.2019.2953640
101. Estimation of chlorophyll concentration in waters near Hokkaido using the linear combination method C. Shi & T. Nakajima https://doi.org/10.1364/OE.25.00A963
102. Retrievals of aerosol optical and microphysical properties from Imaging Polar Nephelometer scattering measurements W. Espinosa et al. https://doi.org/10.5194/amt-10-811-2017
103. Different strategies to retrieve aerosol properties at night-time with the GRASP algorithm J. Benavent-Oltra et al. https://doi.org/10.5194/acp-19-14149-2019
104. Long-term retrieval and analysis of aerosol components and optical properties in Tianjin, China: Insights from GRASP/component approach and sun-photometer observations (2014–2024) X. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108695
105. Validation and Analysis of MISR and POLDER Aerosol Products over China S. Jiao et al. https://doi.org/10.3390/rs14153697
106. Aerosol Retrieval over Land from the Directional Polarimetric Camera Aboard on GF-5 S. Wang et al. https://doi.org/10.3390/atmos13111884
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108. Evaluation of Aerosol Optical Depth Products From Multiangular and Polarized Satellite Measurements Over Mountainous Areas H. Wang et al. https://doi.org/10.1109/TGRS.2022.3206315
109. Retrieval of aerosol particle size distribution using an improved lévy flight and circle chaos sparrow search algorithm L. Xun et al. https://doi.org/10.3389/frsen.2024.1449854
110. The impact of uncertainty in black carbon's refractive index on simulated optical depth and radiative forcing R. Digby et al. https://doi.org/10.5194/acp-25-3109-2025
111. Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation J. Loveridge et al. https://doi.org/10.5194/amt-16-1803-2023
112. Modeling radiative and climatic effects of brown carbon aerosols with the ARPEGE-Climat global climate model T. Drugé et al. https://doi.org/10.5194/acp-22-12167-2022
113. Essential variables for air quality estimation A. Shelestov et al. https://doi.org/10.1080/17538947.2019.1620881
114. Simulation of Multiangular Remote Sensing Products Using Small Satellite Formations S. Nag et al. https://doi.org/10.1109/JSTARS.2016.2570683
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117. Joint retrieval of surface reflectance and aerosol properties with continuous variation of the state variables in the solution space – Part 1: theoretical concept Y. Govaerts & M. Luffarelli https://doi.org/10.5194/amt-11-6589-2018
118. Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach A. Di Noia et al. https://doi.org/10.5194/amt-12-1697-2019
119. Aerosol retrieval algorithm based on adaptive land–atmospheric decoupling for polarized remote sensing over land surfaces H. Wang et al. https://doi.org/10.1016/j.jqsrt.2018.08.011
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127. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. https://doi.org/10.5194/acp-18-12551-2018
128. A correlation-based inversion approach for satellite-borne aerosol remote sensing T. Huang et al. https://doi.org/10.1016/j.jqsrt.2026.110054
129. A satellite-measured view of aerosol component content and optical property in a haze-polluted case over North China Plain L. Li et al. https://doi.org/10.1016/j.atmosres.2021.105958
130. Assessing remote polarimetric measurement sensitivities to aerosol emissions using the geos-chem adjoint model B. Meland et al. https://doi.org/10.5194/amt-6-3441-2013
131. Review: Model particles in atmospheric optics M. Kahnert et al. https://doi.org/10.1016/j.jqsrt.2014.02.014
132. Using Rayleigh scattering over the ocean for satellite in-flight polarization calibration M. Zhu et al. https://doi.org/10.1364/OE.562308
133. Terrestrial aerosol retrieval over Beijing from Chinese GF-1 data based on the blue/red correlation. Y. Zhang et al. https://doi.org/10.1080/2150704X.2020.1856959
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135. Retrieval of aerosol microphysical and optical properties over land using a multimode approach G. Fu & O. Hasekamp https://doi.org/10.5194/amt-11-6627-2018
136. Aerosol properties over the ocean from PARASOL multiangle photopolarimetric measurements O. Hasekamp et al. https://doi.org/10.1029/2010JD015469
137. Rehearsal for Assessment of atmospheric optical Properties during biomass burning Events and Long-range transportation episodes at Metropolitan Area of São Paulo-Brazil (RAPEL) F. Lopes et al. https://doi.org/10.1051/epjconf/201817608011
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139. XCO2 observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements L. Wu et al. https://doi.org/10.5194/amt-13-713-2020
140. Exploration of a Polarized Surface Bidirectional Reflectance Model Using the Ground-Based Multiangle SpectroPolarimetric Imager D. Diner et al. https://doi.org/10.3390/atmos3040591
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142. Retrieval of global aerosol and surface properties from the Gaofen-5 Directional Polarimetric Camera measurements Z. Zhang et al. https://doi.org/10.5194/amt-19-2555-2026
143. Satellite (GOSAT-2 CAI-2) retrieval and surface (ARFINET) observations of aerosol black carbon over India M. Gogoi et al. https://doi.org/10.5194/acp-23-8059-2023
144. Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation M. Grzegorski et al. https://doi.org/10.3390/rs14010085
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