315 citations as recorded by crossref.

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3. Scattering and absorbing aerosols in the climate system J. Li et al. https://doi.org/10.1038/s43017-022-00296-7
4. Atmospheric Correction of DSCOVR EPIC: Version 2 MAIAC Algorithm A. Lyapustin et al. https://doi.org/10.3389/frsen.2021.748362
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7. Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa M. Choi et al. https://doi.org/10.5194/acp-24-10543-2024
8. Ground-based ultraviolet polarimetry for imaging the Babinet polarization neutral point C. DeLeon & M. Kupinski https://doi.org/10.1007/s10043-025-00958-z
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10. Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. https://doi.org/10.5194/essd-12-3573-2020
11. Aerosol variability over oceans using micro-pulse lidar and photometer: insights from TRANSAMA ship-based campaign M. Sanchez-Barrero et al. https://doi.org/10.5194/amt-19-507-2026
12. Reflectance Consistency Between MERSI-II and MODIS in Northeast China Under Varying Conditions R. Xie et al. https://doi.org/10.1109/JSTARS.2026.3673349
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14. Effects of Aerosols and Clouds on the Levels of Surface Solar Radiation and Solar Energy in Cyprus I. Fountoulakis et al. https://doi.org/10.3390/rs13122319
15. Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case H. Zhang et al. https://doi.org/10.3390/rs14071693
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18. 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
19. Implementation of the MOSAIC aerosol module (v1.0) in the Canadian air quality model GEM-MACH (v3.1) K. Semeniuk et al. https://doi.org/10.5194/gmd-18-6479-2025
20. Spring 2020 Atmospheric Aerosol Contamination over Kyiv City C. Zhang et al. https://doi.org/10.3390/atmos13050687
21. Development of Level 2 aerosol and surface products from cross-track scanning polarimeter POSP on board the GF-5(02) satellite C. Chen et al. https://doi.org/10.5194/essd-17-3497-2025
22. Improved simulations of biomass burning aerosol optical properties and lifetimes in the NASA GEOS Model during the ORACLES-I campaign S. Das et al. https://doi.org/10.5194/acp-24-4421-2024
23. The SMART-P Algorithm for Aerosol and Ocean Properties Part 1: Algorithm Theoretical Basis and Expected Accuracy of PolCube Aerosol Products S. Lee et al. https://doi.org/10.3390/rs18040560
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27. Dust radiative effects and impact on energy production over the Mediterranean Basin D. Kouklaki et al. https://doi.org/10.5194/amt-19-5633-2026
28. 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
29. Long range transport of Canadian wildfire smoke to Europe in 2023: aerosol properties and spectral features of smoke particles A. Masoom et al. https://doi.org/10.5194/acp-26-10801-2026
30. Global evaluation and uncertainty analysis of MODIS Deep Blue and MAIAC aerosol products over bright surfaces P. Zhang et al. https://doi.org/10.1016/j.atmosenv.2026.121991
31. A 25-year analysis of aerosol optical depth dynamics over Nigeria (2000–2024): spatial-temporal dynamics, seasonal regimes, and extreme event characterization E. Ekpe et al. https://doi.org/10.1007/s11869-026-02111-4
32. 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
33. The Ground-Based Absolute Radiometric Calibration of the Landsat 9 Operational Land Imager J. Czapla-Myers et al. https://doi.org/10.3390/rs16061101
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37. Retrieval of aerosol properties from zenith sky radiance measurements S. Herrero-Anta et al. https://doi.org/10.5194/amt-16-4423-2023
38. Anomalous Selective Absorption of Smoke Aerosol during Forest Fires in Alaska in July–August 2019 G. Gorchakov et al. https://doi.org/10.1134/S000143382306004X
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40. The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation S. Wei et al. https://doi.org/10.5194/gmd-17-795-2024
41. Impact of Aerosol and Cloud on the Solar Energy Potential over the Central Gangetic Himalayan Region U. Dumka et al. https://doi.org/10.3390/rs13163248
42. Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models Y. Chang et al. https://doi.org/10.5194/acp-25-6787-2025
43. Global Accuracy, Stability, and Consistency Assessment and Usage Recommendations of POLDER/PARASOL GRASP Aerosol Products X. Ma et al. https://doi.org/10.3390/rs18101633
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46. Fire Influence on Regional to Global Environments and Air Quality (FIREX‐AQ) C. Warneke et al. https://doi.org/10.1029/2022JD037758
47. Lognormal mode dissociation method based on intrinsic characteristics of aerosol size distribution S. Chen et al. https://doi.org/10.1364/OE.531268
48. What caused record-breaking aerosol loading over the South China Sea in April 2023 S. Ravindra Babu & N. Lin https://doi.org/10.5194/acp-26-8961-2026
49. Data Processing and Quality Control of the CW193 Sun Photometer Network and Evaluation of Satellite Aerosol Products M. Song et al. https://doi.org/10.3390/rs18183225
50. Unveiling the effects of post-monsoon agricultural biomass burning on aerosols, clouds, and radiation in Northwest India P. Khatri et al. https://doi.org/10.1186/s40645-025-00685-8
51. Spectral Aerosol Radiative Forcing and Efficiency of the La Palma Volcanic Plume over the Izaña Observatory R. García et al. https://doi.org/10.3390/rs15010173
52. Spectral calibration method of the field spectrometer using combined solar Fraunhofer lines and atmospheric absorption characteristics: case study at the Baotou RadCalNet site and implications for reflectance measurement Y. Zhao et al. https://doi.org/10.1364/AO.544936
53. Optical and physical characteristics of aerosols over Asia: AERONET, MERRA-2 and CAMS K. Ansari & S. Ramachandran https://doi.org/10.1016/j.atmosenv.2024.120470
54. Fallowed agricultural lands dominate anthropogenic dust sources in California A. Adebiyi et al. https://doi.org/10.1038/s43247-025-02306-0
55. Observationally constrained regional variations of shortwave absorption by iron oxides emphasize the cooling effect of dust V. Obiso et al. https://doi.org/10.5194/acp-24-5337-2024
56. Spatiotemporal patterns of aerosol optical depth and PM2.5 concentrations derived from multi-source remote sensing Q. Mao & S. Liu https://doi.org/10.1016/j.jastp.2025.106689
57. A robust and flexible satellite aerosol retrieval algorithm for multi-angle polarimetric measurements with physics-informed deep learning method M. Tao et al. https://doi.org/10.1016/j.rse.2023.113763
58. Deep neural networks reveal organic pollutants’ dominance in global inflammatory bowel disease I. Khan et al. https://doi.org/10.1016/j.jes.2025.04.058
59. Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? D. Carrer et al. https://doi.org/10.3390/rs13163072
60. An ensemble machine learning method to retrieve aerosol parameters from ground-based Sun-sky photometer measurements Q. Li et al. https://doi.org/10.5194/amt-19-2507-2026
61. Aerosol characterisation based on EPS-SG/3MI – Preflight demonstration and extensive validation using PARASOL/POLDER-3 S. Jafariserajehlou et al. https://doi.org/10.1016/j.jqsrt.2026.110149
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63. Black Carbon and Brown Carbon and Selective Smoke Aerosol Absorption during Massive Wildfires in Alaska in 2019 and Canada in 2023 G. Gorchakov et al. https://doi.org/10.1134/S1024856025700058
64. Employing relaxed smoothness constraints on imaginary part of refractive index in AERONET aerosol retrieval algorithm A. Sinyuk et al. https://doi.org/10.5194/amt-15-4135-2022
65. Inversion of Aerosol Particle Size Distribution Using an Improved Stochastic Particle Swarm Optimization Algorithm X. Nie & Q. Mao https://doi.org/10.3390/rs14164085
66. Increased aerosols can reverse Twomey effect in water clouds through radiative pathway P. Khatri et al. https://doi.org/10.1038/s41598-022-25241-y
67. Atmospheric aerosol size distribution impacts radiative effects over the Himalayas via modulating aerosol single-scattering albedo P. Tian et al. https://doi.org/10.1038/s41612-023-00368-5
68. Impact of Chemical Composition on Aerosol Scattering: Insights from the Surface Particulate Matter Network and Aerosol Robotic Network S. Eom et al. https://doi.org/10.1021/acs.est.5c09325
69. Remote sensing of aerosols over drylands: Challenges, uncertainties, and paths forward C. Chen et al. https://doi.org/10.1126/sciadv.aec4247
70. Global evaluation of sentinel 2 level 2A Sen2Cor aerosol optical thickness retrievals A. Kumar & M. Mehta https://doi.org/10.1080/01431161.2024.2421947
71. Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model S. Wang et al. https://doi.org/10.1016/j.apenergy.2025.126062
72. 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
73. 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
74. Aerosol retrieval over snow using the RemoTAP algorithm Z. Zhang et al. https://doi.org/10.5194/amt-16-6051-2023
75. Implications of dust minerals on radiative transfer at regional scale, using the METAL-WRF model C. Spyrou et al. https://doi.org/10.5194/amt-18-7717-2025
76. A Regional Aerosol Model for the Oceanic Area around Eastern China Based on Aerosol Robotic Network (AERONET) S. Chen et al. https://doi.org/10.3390/rs16061106
77. Optical and chemical properties of long-range transported aerosols using satellite and ground-based observations over seoul, South Korea G. Choo et al. https://doi.org/10.1016/j.atmosenv.2020.118024
78. Simulation and evaluation study of atmospheric aerosol nonsphericity as a function of particle size Q. Mao & X. Nie https://doi.org/10.1016/j.partic.2023.12.013
79. Influence of changes in anthropogenic and natural sources on global aerosol optical depth during COVID-19 lockdown: Ground-based observations, satellites, models S. Ramachandran & K. Ansari https://doi.org/10.1016/j.atmosenv.2024.120948
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82. Estimates of remote sensing retrieval errors by the GRASP algorithm: application to ground-based observations, concept and validation M. Herrera et al. https://doi.org/10.5194/amt-15-6075-2022
83. Modeling atmospheric brown carbon in the GISS ModelE Earth system model M. DeLessio et al. https://doi.org/10.5194/acp-24-6275-2024
84. 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
85. AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements N. Schutgens et al. https://doi.org/10.5194/acp-21-6895-2021
86. Aerosol optical depth climatology from the high-resolution MAIAC product over Europe: differences between major European cities and their surrounding environments L. Di Antonio et al. https://doi.org/10.5194/acp-23-12455-2023
87. Intensity-resolved classification of forest fire smoke via fused satellite and ground-based optical climatology Y. Ma et al. https://doi.org/10.1016/j.envres.2026.124710
88. Retrieval of aerosol properties using relative radiance measurements from an all-sky camera R. Román et al. https://doi.org/10.5194/amt-15-407-2022
89. A Coupled Evaluation of Operational MODIS and Model Aerosol Products for Maritime Environments Using Sun Photometry: Evaluation of the Fine and Coarse Mode J. Reid et al. https://doi.org/10.3390/rs14132978
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102. Subseasonal and spatial variability of biomass burning aerosol radiative properties observed over the Southeast Atlantic during ORACLES 2016–2018 L. Mitchell et al. https://doi.org/10.5194/acp-26-13083-2026
103. Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. https://doi.org/10.1029/2020JD033651
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106. Synergetic retrieval from multi-mission spaceborne measurements for enhanced aerosol and surface characterization P. Litvinov et al. https://doi.org/10.5194/amt-18-7679-2025
107. Seasonal comparisons of GEOS-Chem-TOMAS (GCT) simulations with AERONET-inversion retrievals over sites in the North American and European Arctic Y. AboEl-Fetouh et al. https://doi.org/10.1016/j.atmosenv.2021.118852
108. A deep learning-based imputation method for missing gaps in satellite aerosol products by fusing numerical model data N. Liu et al. https://doi.org/10.1016/j.atmosenv.2024.120440
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110. Features of the Extreme Fire Season of 2021 in Yakutia (Eastern Siberia) and Heavy Air Pollution Caused by Biomass Burning O. Tomshin & V. Solovyev https://doi.org/10.3390/rs14194980
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112. A comparison of atmospheric aerosol absorption properties from the MERRA-2 reanalysis with AERONET V. Bakatsoula et al. https://doi.org/10.1016/j.atmosenv.2023.119997
113. Estimation of the Mass Concentration of Volcanic Ash Using Ceilometers: Study of Fresh and Transported Plumes from La Palma Volcano A. Bedoya-Velásquez et al. https://doi.org/10.3390/rs14225680
114. Weather specific evaluation of satellite retrieved aerosol optical depth over drylands of the Southwest United States H. Dhaliwal & S. Pal https://doi.org/10.1016/j.atmosres.2026.108932
115. MATCHA, a novel regional hydroclimate-chemical reanalysis: System description and evaluation C. Roychoudhury et al. https://doi.org/10.5194/essd-18-5209-2026
116. Emission-Intensity-Driven Evolution of Black Carbon Microphysics in Wildfire Smoke Revealed by Multiwavelength Remote Sensing J. Luo et al. https://doi.org/10.1109/TGRS.2026.3697773
117. Error characterization and analysis of aerosol products from the geostationary environment monitoring spectrometer (GEMS) G. Du et al. https://doi.org/10.1016/j.atmosres.2025.108682
118. 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
119. Optical properties and shape-dependent retrievals of the imaginary part of the refractive index of freshly emitted Saharan dust J. Yus-Díez et al. https://doi.org/10.5194/acp-26-14531-2026
120. Compact dual-wavelength depolarization lidar for aerosol characterization over the subtropical North Atlantic Y. González et al. https://doi.org/10.5194/amt-18-1885-2025
121. 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
122. Anomalous Selective Absorption of Smoke Aerosol during Forest Fires in Alaska in July–August 2019 G. Gorchakov et al. https://doi.org/10.31857/S0002351523060044
123. Long-term trends in aerosol properties derived from AERONET measurements Z. Zhang et al. https://doi.org/10.5194/acp-25-4617-2025
124. Aerosol characterisation in the subtropical eastern North Atlantic region using long-term AERONET measurements Á. Barreto et al. https://doi.org/10.5194/acp-22-11105-2022
125. A Sequence-to-Sequence Transformer Model for Satellite Retrieval of Aerosol Optical and Microphysical Parameters from Space L. Zhang et al. https://doi.org/10.3390/rs16244659
126. Validation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations X. Zhang et al. https://doi.org/10.1016/j.atmosres.2021.105802
127. Aerosol Loading and Radiation Budget Perturbations in Densely Populated and Highly Polluted Indo‐Gangetic Plain by COVID‐19: Influences on Cloud Properties and Air Temperature P. Khatri et al. https://doi.org/10.1029/2021GL093796
128. Aerosol single-scattering albedo derived by merging OMI/POLDER satellite products and AERONET ground observations Y. Dong et al. https://doi.org/10.5194/essd-17-3873-2025
129. Retrieval of aerosol properties from aerosol optical depth measurements with high temporal resolution and spectral range A. Karanikolas et al. https://doi.org/10.5194/amt-18-7651-2025
130. Characterization of Stratospheric Smoke Particles over the Antarctica by Remote Sensing Instruments R. González et al. https://doi.org/10.3390/rs12223769
131. Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods M. Kim et al. https://doi.org/10.5194/amt-17-4317-2024
132. Type-based assessment of aerosol direct radiative effects: A proof-of-concept using GEOS-Chem and CATCH B. Sutherland & N. Meskhidze https://doi.org/10.1016/j.atmosres.2025.108036
133. Global aerosol models considering their spatial heterogeneities based on AERONET measurements S. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107521
134. Augmenting Heritage Ocean-Color Aerosol Models for Enhanced Remote Sensing of Inland and Nearshore Coastal Waters M. Montes et al. https://doi.org/10.3389/frsen.2022.860816
135. Retrieving BRDFs from UAV-based radiometers for fiducial reference measurements: caveats and recommendations S. Schunke et al. https://doi.org/10.3389/frsen.2023.1285800
136. Simultaneous Characterization of Wildfire Smoke and Surface Properties With Imaging Spectroscopy During the FIREX‐AQ Field Campaign P. Brodrick et al. https://doi.org/10.1029/2021JD034905
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139. 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
140. Exceptional high AOD over Svalbard in summer 2019: a multi-instrumental approach S. Herrero-Anta et al. https://doi.org/10.5194/acp-26-1435-2026
141. New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests H. Hashimoto et al. https://doi.org/10.1038/s41467-021-20994-y
142. A Contrast Minimization Approach to Remove Sun Glint in Landsat 8 Imagery F. Fell https://doi.org/10.3390/rs14184643
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144. Difference between global and regional aerosol model classifications and associated implications for spaceborne aerosol optical depth retrieval P. Zhou et al. https://doi.org/10.1016/j.atmosenv.2023.119674
145. 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
146. Simultaneous retrievals of biomass burning aerosols and trace gases from the ultraviolet to near-infrared over northern Thailand during the 2019 pre-monsoon season U. Jeong et al. https://doi.org/10.5194/acp-22-11957-2022
147. Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001–2018) S. Liu et al. https://doi.org/10.1021/acs.est.3c02111
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149. Aerosol properties and aerosol–radiation interactions in clear-sky conditions over Germany J. Witthuhn et al. https://doi.org/10.5194/acp-21-14591-2021
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153. A Modular Framework for All-Sky Radiance: Physically Based Simulation for Complex Cloud Conditions M. Yang et al. https://doi.org/10.1109/TGRS.2026.3687091
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155. A Comparison of Multi-Angle Implementation of Atmospheric Correction and MOD09 Daily Surface Reflectance Products From MODIS A. Lyapustin et al. https://doi.org/10.3389/frsen.2021.712093
156. Impact of military activity on atmospheric aerosol characteristics in Ukraine and Kyiv city X. Wei et al. https://doi.org/10.1016/j.apr.2025.102496
157. Smoke absorption retrieval algorithm using critical reflectance method with geostationary satellite over North America R. Mishra et al. https://doi.org/10.1016/j.rse.2025.114837
158. Does total column ozone change during a solar eclipse? G. Bernhard et al. https://doi.org/10.5194/acp-25-819-2025
159. Spectral transformer with physics-informed regularization for high-resolution Landsat-8 AOD retrieval X. Xu et al. https://doi.org/10.1016/j.jqsrt.2026.110084
160. Prediction of Circumsolar Irradiance and Its Impact on CSP Systems under Clear Skies E. Abreu et al. https://doi.org/10.3390/en16247950
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162. Modeling impacts of dust mineralogy on fast climate response Q. Song et al. https://doi.org/10.5194/acp-24-7421-2024
163. Vertical profile of the clear-sky aerosol direct radiative effect in an Alpine valley, by the synergy of ground-based measurements and radiative transfer simulations G. Fasano et al. https://doi.org/10.1007/s42865-021-00041-w
164. Columnar aerosol types and compositions over peninsular Southeast Asia based on long-term AERONET data S. Wang et al. https://doi.org/10.1007/s11869-021-01119-2
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166. Global Aerosol Retrieval Over Land Using the Chinese Satellite Polarimeter DPC-2/GF-5(02) Z. Zhang et al. https://doi.org/10.1109/TGRS.2025.3633391
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168. Evaluating the effects of columnar NO2 on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. https://doi.org/10.5194/amt-16-2989-2023
169. Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations I. Konovalov et al. https://doi.org/10.5194/amt-14-6647-2021
170. The evolution of aerosol types and direct radiative forcing in Beijing-Tianjin-Hebei, China: A long-term analysis with a modified Gaussian mixture model J. Wang et al. https://doi.org/10.1016/j.atmosres.2026.109072
171. Source-dependent optical and mineral signatures of dust outbreaks over the Mediterranean A. Papetta et al. https://doi.org/10.5194/acp-26-12395-2026
172. Aerosol Absorption Over Land Derived From the Ultra-Violet Aerosol Index by Deep Learning J. Sun et al. https://doi.org/10.1109/JSTARS.2021.3108669
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175. Ground-based MFRSR UV-Vis spectral retrievals of Saharan dust absorption at Izaña Observatory H. Jethva et al. https://doi.org/10.5194/amt-19-4335-2026
176. A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading Y. Shi et al. https://doi.org/10.5194/amt-14-3449-2021
177. Advancing operational global aerosol forecasting with machine learning K. Gui et al. https://doi.org/10.1038/s41586-026-10234-y
178. Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. https://doi.org/10.1080/20964471.2024.2316730
179. The influence of scattering correction effect based on optical path distribution on CO2 retrieval Y. Jiang et al. https://doi.org/10.1515/phys-2025-0245
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181. Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements S. Sayedain et al. https://doi.org/10.5194/amt-16-4115-2023
182. Capabilities of an Automatic Lidar Ceilometer to Retrieve Aerosol Characteristics within the Planetary Boundary Layer D. Li et al. https://doi.org/10.3390/rs13183626
183. Study on inversion of atmospheric aerosol nonsphericity based on satellite and ground observations X. Nie & Q. Mao https://doi.org/10.1016/j.atmosres.2022.106582
184. First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia Y. Cho et al. https://doi.org/10.5194/amt-17-4369-2024
185. Microstructure and Absorption Capacity of Aerosol in Nonphotochemical Smog G. Gorchakov et al. https://doi.org/10.1134/S1028334X25609861
186. Geostationary aerosol retrievals of extreme biomass burning plumes during the 2019–2020 Australian bushfires D. Robbins et al. https://doi.org/10.5194/amt-17-3279-2024
187. An AI-based algorithm for retrieving aerosol optical depth and single scattering albedo using All-Sky Imager observations H. Ni et al. https://doi.org/10.5194/amt-19-5871-2026
188. First Ever Observations of Mineral Dust in Wintertime over Warsaw, Poland D. Szczepanik et al. https://doi.org/10.3390/rs14153788
189. Estimation of Aerosol Columnar Size Distribution from Spectral Extinction Data in Coastal and Maritime Environment E. Kassianov et al. https://doi.org/10.3390/atmos12111412
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191. Optimized retrievals of aerosol optical properties from directional polarimetric camera using optimal linear mixture of basis aerosol models supported by the non-negative matrix factorization S. Jin et al. https://doi.org/10.1016/j.rse.2026.115504
192. 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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194. 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
195. Radiative effects of absorbing aerosol types over South Asia K. Ansari & S. Ramachandran https://doi.org/10.1016/j.scitotenv.2022.159969
196. Microwave radiometer, sun-photometer and GNSS multi-comparison of integrated water vapor in Southwestern Europe J. Vaquero-Martínez et al. https://doi.org/10.1016/j.atmosres.2023.106698
197. Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager M. Kim et al. https://doi.org/10.5194/amt-17-1913-2024
198. 基于AERONET的东沙海域气溶胶光学模型 陈. Chen Shunping et al. https://doi.org/10.3788/AOS230587
199. Aerosol composition, transport, and radiative impact derived from ground-based and satellite remote sensing in the Central Himalaya P. Singh et al. https://doi.org/10.1016/j.scitotenv.2025.180657
200. The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water J. Limbacher et al. https://doi.org/10.5194/amt-15-6865-2022
201. Impact of synoptic meteorological conditions on air quality in three different case studies in Rome, Italy A. Di Bernardino et al. https://doi.org/10.1016/j.apr.2021.02.019
202. Seasonal aerosol variations at the Land-Ocean boundary: Insights from a global AERONET network analysis J. Zhao et al. https://doi.org/10.1016/j.envint.2026.110158
203. An emerging aerosol climatology via remote sensing over Metro Manila, the Philippines G. Lorenzo et al. https://doi.org/10.5194/acp-23-10579-2023
204. Regional validation of the solar irradiance tool SolaRes in clear-sky conditions, with a focus on the aerosol module T. Elias et al. https://doi.org/10.5194/amt-17-4041-2024
205. 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
206. Feasibility of Ceilometers Data to Estimate Radiative Forcing Values: Application to Different Conditions around the COVID-19 Lockdown Period R. Barragan et al. https://doi.org/10.3390/rs12223699
207. Development and Application of the ACRA24 Model: Assessing Aerosol Radiative Forcing and Absorptivity across Tropical, Arid, Temperate, and Continental Climates in the Northern Hemisphere O. Salhi et al. https://doi.org/10.3103/S0003701X25600456
208. 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
209. Radiative effects of biomass-burning aerosols on surface solar irradiance in southern Mexico: Evidence from BSRN–AERONET observations G. Carabalí et al. https://doi.org/10.1016/j.jastp.2026.106977
210. Multi-platform observations and constraints reveal overlooked urban sources of black carbon in Xuzhou and Dhaka P. Tiwari et al. https://doi.org/10.1038/s43247-025-02012-x
211. Small but Notable Influence of Numerical Diffusion on Super Coarse Dust Sedimentation: Insights from UNO3 vs. Upwind Schemes E. Drakaki et al. https://doi.org/10.3390/atmos16091086
212. Water vapour characteristics and radiative effects at high-altitude Himalayan sites U. Dumka et al. https://doi.org/10.1016/j.apr.2021.101303
213. The polarimetric characteristics of dust with irregular shapes: evaluation of the spheroid model for single particles J. Luo et al. https://doi.org/10.5194/amt-15-2767-2022
214. 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
215. Columnar optical-radiative properties and components of aerosols in the Arctic summer from long-term AERONET measurements Y. Liang et al. https://doi.org/10.1016/j.scitotenv.2023.169052
216. A large reduction of direct aerosol cooling over Poland in the last decades K. Markowicz et al. https://doi.org/10.1002/joc.7488
217. Measurement report: Combined use of MAX-DOAS and AERONET ground-based measurements in Montevideo, Uruguay, for the detection of distant biomass burning M. Osorio et al. https://doi.org/10.5194/acp-24-7447-2024
218. Advanced Time series Multi-wavelength AOD Transformer (TMAT) model: joint retrieval of aerosol optical and microphysical properties using Himawari-8 AHI data L. She et al. https://doi.org/10.1016/j.jag.2026.105252
219. A regional case study of aerosol-induced radiative and precipitation responses in Mainland Southeast Asia S. Bran et al. https://doi.org/10.1016/j.atmosenv.2026.122184
220. Optically consistent multi-parameter aerosol retrieval from dual-satellite polarimetric observations enabled by physics-guided deep learning Z. Wang et al. https://doi.org/10.1016/j.rse.2026.115685
221. 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
222. The Aerosol Optical Depth Retrieval from Wide-Swath Imaging of DaQi-1 over Beijing Z. Wang et al. https://doi.org/10.3390/atmos15121476
223. Characterization of aerosol size properties from measurements of spectral optical depth: a global validation of the GRASP-AOD code using long-term AERONET data B. Torres & D. Fuertes https://doi.org/10.5194/amt-14-4471-2021
224. CAECENET: An automatic system processing photometer and ceilometer data from different networks to provide columnar and vertically-resolved aerosol properties C. Herrero del Barrio et al. https://doi.org/10.1371/journal.pone.0311990
225. Intercomparison of Aerosol Types Reported as Part of Aerosol Product Retrieval over Diverse Geographic Regions S. Falah et al. https://doi.org/10.3390/rs14153667
226. Polarimetric coordinate validation for merging GRASP and AirMSPI FIREX-AQ observations C. DeLeon et al. https://doi.org/10.1016/j.jqsrt.2024.108910
227. 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
228. 20 years of columnar aerosol properties at Valencia area (Eastern Spain) by ground-based sun-photometry M. Garcia-Suñer et al. https://doi.org/10.1016/j.atmosres.2023.107198
229. Long-Term Trends in Aerosol Single Scattering Albedo Cause Bias in MODIS Aerosol Optical Depth Trends Z. Zhang et al. https://doi.org/10.1109/TGRS.2024.3424981
230. Impact of cloud presence on sky radiances and the retrieval of aerosol properties S. Herrero-Anta et al. https://doi.org/10.1016/j.atmosres.2025.107938
231. 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
232. Atmospheric Aerosol Outbreak over Nicosia, Cyprus, in April 2019: Case Study Y. Yukhymchuk et al. https://doi.org/10.3390/atmos13121997
233. Remote sensing of local-dust across the Canadian Arctic S. Sayedain et al. https://doi.org/10.5194/amt-19-4553-2026
234. Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison C. Chen et al. https://doi.org/10.1016/j.rse.2024.114374
235. Radiative and climate effects of aerosol scattering in long-wave radiation based on global climate modelling T. Drugé et al. https://doi.org/10.5194/acp-25-11651-2025
236. A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering simulations Z. Liu et al. https://doi.org/10.5194/essd-18-507-2026
237. Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing C. Chen et al. https://doi.org/10.1038/s41467-022-35147-y
238. The retrieval of cloud properties based on spectral solar light diffuse transmittance measurements under optically thick cloud cover conditions A. Kokhanovsky et al. https://doi.org/10.1016/j.jqsrt.2020.107008
239. Aerosols optical and radiative properties in Indonesia based on AERONET version 3 S. Kusumaningtyas et al. https://doi.org/10.1016/j.atmosenv.2022.119174
240. Satellite remote sensing of aerosol single scattering albedo: Instruments, algorithms, and challenges Y. Dong et al. https://doi.org/10.1016/j.jqsrt.2025.109802
241. Global assessment of aerosol radiative effects: New insights from observations, reanalysis, and climate models K. Ansari et al. https://doi.org/10.1016/j.scitotenv.2025.180871
242. TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020 O. Torres et al. https://doi.org/10.5194/amt-13-6789-2020
243. Global 3-D distribution of aerosol composition by synergistic use of CALIOP and MODIS observations R. Kudo et al. https://doi.org/10.5194/amt-16-3835-2023
244. On the retrieval of cloud optical thickness from spectral radiances - A sensitivity study with high albedo surfaces F. Calì Quaglia et al. https://doi.org/10.1016/j.jqsrt.2024.109108
245. Spectral and Spatial Dependencies in the Validation of Satellite-Based Aerosol Optical Depth from the Geostationary Ocean Color Imager Using the Aerosol Robotic Network M. Kim et al. https://doi.org/10.3390/rs15143621
246. Introduction of Ground-based Remote Sensing and Applications for Air Quality Monitoring S. Park et al. https://doi.org/10.5572/KOSAE.2025.41.2.254
247. Retrieving Nocturnal Aerosol Optical Depth Using Lunar Photometry: Algorithm Improvements and Evaluation J. Zhu et al. https://doi.org/10.1109/TGRS.2025.3642839
248. Sensitivity analysis of Look-up table for satellite-based aerosol optical depth retrieval S. Amini et al. https://doi.org/10.1016/j.jaerosci.2021.105842
249. A multilevel downscaling model for enhancing nocturnal aerosol optical depth reanalysis from CAMS over the Beijing-Tianjin-Hebei region, China S. Wang et al. https://doi.org/10.1016/j.eti.2025.104238
250. Intelligent Atmospheric Correction Algorithm for Polarization Ocean Color Satellite Measurements Over the Open Ocean X. He et al. https://doi.org/10.1109/TGRS.2023.3348159
251. Increased aerosol scattering contributes to the recent monsoon rainfall decrease over the Gangetic Plain T. Ying et al. https://doi.org/10.1016/j.scib.2023.08.052
252. Aerosol properties in the atmosphere of Natal/Brazil measured by an AERONET Sun-photometer D. Fortunato dos Santos Oliveira et al. https://doi.org/10.1007/s11356-020-11373-z
253. A comprehensive analysis of blue-to-red atmospheric signatures from all-sky imagery: CLARIS, an adaptive cloud-cover framework P. Valdelomar et al. https://doi.org/10.1016/j.atmosres.2026.109131
254. Assessment of Satellite AOD during the 2020 Wildfire Season in the Western U.S. X. Ye et al. https://doi.org/10.3390/rs14236113
255. Extended aerosol optical depth (AOD) time series analysis in an Alpine valley: a comparative study from 2007 to 2023 J. Wagner et al. https://doi.org/10.5194/ar-2-153-2024
256. Feasibility of satellite vicarious calibration using HYPERNETS surface reflectances from Gobabeb and Princess Elisabeth Antarctica sites P. De Vis et al. https://doi.org/10.3389/frsen.2024.1323998
257. Effect of Shape and Sizes of Crystal Particles on Angular Distributions of Transmitted Solar Radiation in Two Sensing Geometries: Results of Numerical Simulation T. Zhuravleva https://doi.org/10.1134/S1024856021010127
258. Downscaling aerosol optical depth by fusing satellite retrieval and model simulation using artificial intelligence technology L. Sun et al. https://doi.org/10.1016/j.atmosres.2025.108411
259. Exploring biases in the GISS ModelE Earth system model brown carbon representation with in-situ flight observations M. DeLessio et al. https://doi.org/10.5194/acp-26-7325-2026
260. First assessment of Aeolus Standard Correct Algorithm particle backscatter coefficient retrievals in the eastern Mediterranean A. Gkikas et al. https://doi.org/10.5194/amt-16-1017-2023
261. Growth and Global Persistence of Stratospheric Sulfate Aerosols From the 2022 Hunga Tonga–Hunga Ha'apai Volcanic Eruption M. Boichu et al. https://doi.org/10.1029/2023JD039010
262. A global perspective on CO2 satellite observations in high AOD conditions T. Virtanen et al. https://doi.org/10.5194/amt-18-929-2025
263. Study on global atmospheric aerosol type identification from combined satellite and ground observations X. Nie et al. https://doi.org/10.1016/j.atmosenv.2025.121100
264. Selective Absorption of a Dust Haze in the Visible Spectrum over the Middle East in Spring 2022 G. Gorchakov et al. https://doi.org/10.1134/S1028334X2460525X
265. 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
266. Modeling coarse and giant desert dust particles E. Drakaki et al. https://doi.org/10.5194/acp-22-12727-2022
267. Atmospheric Correction of Coastal Waters Based on Satellite–AERONET-OC Matchups X. Li et al. https://doi.org/10.34133/remotesensing.0886
268. A decadal, hourly high-resolution satellite dataset of aerosol optical properties over East Asia J. Lee et al. https://doi.org/10.5194/essd-17-5761-2025
269. A Generalized Aerosol Algorithm for Multi‐Spectral Satellite Measurement With Physics‐Informed Deep Learning Method J. Jiang et al. https://doi.org/10.1029/2023GL106806
270. Sensitivity of global direct aerosol shortwave radiative forcing to uncertainties in aerosol optical properties J. Elsey et al. https://doi.org/10.5194/acp-24-4065-2024
271. Detection of potential structural deficiencies in a global aerosol model using a perturbed parameter ensemble L. Prévost et al. https://doi.org/10.5194/acp-26-2487-2026
272. Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments V. Kayetha et al. https://doi.org/10.5194/amt-15-845-2022
273. The extreme forest fires in California/Oregon in 2020: Aerosol optical and physical properties and comparisons of aged versus fresh smoke T. Eck et al. https://doi.org/10.1016/j.atmosenv.2023.119798
274. Investigating the Presence of Biomass Burning Events at Ny-Ålesund: Optical and Chemical Insights from Summer-Fall 2019 S. Pulimeno et al. https://doi.org/10.1016/j.atmosenv.2024.120336
275. 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
276. Interpretable machine learning quantifies composition and size influences on aerosol spectral absorption W. Wang et al. https://doi.org/10.5194/acp-26-6471-2026
277. Preliminary Retrieval and Validation of Aerosol Optical Depths from FY-4B Advanced Geostationary Radiation Imager Images D. Zhou et al. https://doi.org/10.3390/rs16020372
278. Enhanced net CO2 exchange of a semideciduous forest in the southern Amazon due to diffuse radiation from biomass burning S. Rodrigues et al. https://doi.org/10.5194/bg-21-843-2024
279. Intercomparison of aerosol optical depth retrievals from GAW-PFR and SKYNET sun photometer networks and the effect of calibration A. Karanikolas et al. https://doi.org/10.5194/amt-17-6085-2024
280. A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications O. Dubovik et al. https://doi.org/10.3389/frsen.2021.706851
281. Statistical Approach to the Synergy of Data from Caliop and Ground-Based Radiometric Stations for Studying Altitude Profiles of Aerosol Parameters A. Chaikovsky et al. https://doi.org/10.1007/s10812-024-01729-5
282. Numerical neural network approach to simultaneous material classification and sizing of aerosolized particles M. Geisler et al. https://doi.org/10.1016/j.jqsrt.2021.107982
283. Addressing observational gaps in aerosol parameters using machine learning: Implications to aerosol radiative forcing M. Parmar et al. https://doi.org/10.1016/j.atmosenv.2024.120661
284. 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
285. Pretrained Deep Learning Framework for Assessing Aerosol Pollution and Radiative Forcing from Satellite Polarization Measurements Z. Ji et al. https://doi.org/10.1021/acsestair.5c00445
286. Aerosol optical depth retrieval from Geostationary Environment Monitoring Spectrometer (GEMS): Advancing the first hyperspectral geostationary air quality mission using deep learning H. Choi et al. https://doi.org/10.1016/j.scitotenv.2025.180535
287. Characterization of aerosol optical depth (AOD) anomalies in September and October 2022 over Skukuza in South Africa M. Ranaivombola et al. https://doi.org/10.5194/acp-25-3519-2025
288. Retrieval of Aged Biomass-Burning Aerosol Properties by Using GRASP Code in Synergy with Polarized Micro-Pulse Lidar and Sun/Sky Photometer M. López-Cayuela et al. https://doi.org/10.3390/rs14153619
289. Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations S. Go et al. https://doi.org/10.5194/acp-22-1395-2022
290. Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar M. Sanchez Barrero et al. https://doi.org/10.5194/amt-17-3121-2024
291. Diurnal and nocturnal aerosol properties by AERONET sun-sky-lunar photometer measurements along four years M. Perrone et al. https://doi.org/10.1016/j.atmosres.2021.105889
292. Air Pollution and Health Burden in India Quantified Using the AEIM-India Emission Inventory M. Lund et al. https://doi.org/10.1021/acsestair.5c00171
293. Twilight Near-Infrared Radiometry for Stratospheric Aerosol Layer Height L. Mukherjee et al. https://doi.org/10.3390/rs17122071
294. Atmospheric processing and aerosol aging responsible for observed increase in absorptivity of long-range-transported smoke over the southeast Atlantic A. Fakoya et al. https://doi.org/10.5194/acp-25-7879-2025
295. Version 2 of hourly aerosol optical centroid height (AOCH) data product from EPIC/DSCOVR in deep space Z. Lu et al. https://doi.org/10.1016/j.rse.2026.115623
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