98 citations as recorded by crossref.

1. Global maps of aerosol single scattering albedo using combined CERES-MODIS retrieval A. Devi & S. Satheesh 10.5194/acp-22-5365-2022
2. Retrieval of Aerosol Optical Depth and FMF over East Asia from Directional Intensity and Polarization Measurements of PARASOL S. Wang et al. 10.3390/atmos15010006
3. Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. 10.5194/amt-15-4859-2022
4. Extensive characterization of aerosol optical properties and chemical component concentrations: Application of the GRASP/Component approach to long-term AERONET measurements X. Zhang et al. 10.1016/j.scitotenv.2021.152553
5. Properties of aerosol and surface derived from OLCI/Sentinel-3A using GRASP approach: Retrieval development and preliminary validation C. Chen et al. 10.1016/j.rse.2022.113142
6. Adaptive Data Screening for Multi-Angle Polarimetric Aerosol and Ocean Color Remote Sensing Accelerated by Deep Learning M. Gao et al. 10.3389/frsen.2021.757832
7. Features and sources of aerosol properties over the western Pacific Ocean based on shipborne measurements W. Wang et al. 10.1007/s00703-023-00960-7
8. 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. 10.5194/amt-14-2575-2021
9. Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models Z. Zang et al. 10.3390/rs13142779
10. A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia S. Jin et al. 10.5194/acp-23-8187-2023
11. Estimates of remote sensing retrieval errors by the GRASP algorithm: application to ground-based observations, concept and validation M. Herrera et al. 10.5194/amt-15-6075-2022
12. Algorithm evaluation for polarimetric remote sensing of atmospheric aerosols O. Hasekamp et al. 10.5194/amt-17-1497-2024
13. Evaluating the effects of columnar NO2on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. 10.5194/amt-16-2989-2023
14. An AERONET-based methodology to retrieve black carbon light absorption and comparison with MERRA-2 data N. Dehkhoda et al. 10.1016/j.apr.2023.101994
15. Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison Y. Zhang et al. 10.5194/amt-14-1655-2021
16. GOCI-II geostationary satellite hourly aerosol optical depth obtained by data-driven methods: Validation and comparison Y. Fan et al. 10.1016/j.atmosenv.2023.119965
17. Validation and Analysis of MISR and POLDER Aerosol Products over China S. Jiao et al. 10.3390/rs14153697
18. Global trends in the aerosol optical, physical, and morphological properties obtained using multi-sensor measurements G. Gupta et al. 10.1016/j.atmosenv.2022.119569
19. Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales X. Su et al. 10.1016/j.scitotenv.2023.163794
20. Evaluation of Aerosol Optical Depth Products From Multiangular and Polarized Satellite Measurements Over Mountainous Areas H. Wang et al. 10.1109/TGRS.2022.3206315
21. An improved meteorological variables-based aerosol optical depth estimation method by combining a physical mechanism model with a two-stage model F. Li et al. 10.1016/j.chemosphere.2024.142820
22. Using satellite multi-angle polarization measurements to characterize atmospheric aerosol above Bohai Bay P. Salyuk et al. 10.1016/j.asr.2023.10.007
23. Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. 10.1029/2021JD035483
24. A generalized land surface reflectance reconstruction method for aerosol retrieval: Application to the Particulate Observing Scanning Polarimeter (POSP) onboard GaoFen-5 (02) satellite Z. Shi et al. 10.1016/j.rse.2023.113683
25. Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing C. Chen et al. 10.1038/s41467-022-35147-y
26. Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M. Gao et al. 10.5194/amt-14-4083-2021
27. Accuracy and error cause analysis, and recommendations for usage of Himawari-8 aerosol products over Asia and Oceania L. Feng et al. 10.1016/j.scitotenv.2021.148958
28. Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm L. Li et al. 10.5194/essd-14-3439-2022
29. Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions Q. Zhong et al. 10.1038/s41467-022-33680-4
30. Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data L. She et al. 10.1016/j.rse.2024.114115
31. Spectral Deconvolution Algorithm for Global Fine-Mode Aerosol Retrieval in the 1990s Using Dual-Angle Satellite Aerosol Data X. Yan et al. 10.1109/TGRS.2023.3332316
32. Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data N. Luo et al. 10.1016/j.envpol.2024.123838
33. Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets X. Su et al. 10.1109/TGRS.2023.3330544
34. 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. 10.5194/amt-17-4445-2024
35. Retrieval of Aerosol Optical Properties over Land Using an Optimized Retrieval Algorithm Based on the Directional Polarimetric Camera L. Fang et al. 10.3390/rs14184571
36. Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison C. Chen et al. 10.1016/j.rse.2024.114374
37. Retrieval of aerosol single scattering albedo using joint satellite and surface visibility measurements Y. Dong et al. 10.1016/j.rse.2023.113654
38. Optical and physical characteristics of aerosols over Asia: AERONET, MERRA-2 and CAMS K. Ansari & S. Ramachandran 10.1016/j.atmosenv.2024.120470
39. Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm R. Zhang et al. 10.3390/atmos14020241
40. Derivation of PM10 mass concentration from advanced satellite retrieval products based on a semi-empirical physical approach Y. Wei et al. 10.1016/j.rse.2021.112319
41. Towards long-term, high-accuracy, and continuous satellite total and fine-mode aerosol records: Enhanced Land General Aerosol (e-LaGA) retrieval algorithm for VIIRS L. Wang et al. 10.1016/j.isprsjprs.2024.06.022
42. A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches X. Yan et al. 10.5194/essd-14-1193-2022
43. The global spatial-temporal distribution and EOF analysis of AOD based on MODIS data during 2003–2021 X. Tian et al. 10.1016/j.atmosenv.2023.119722
44. Retrieval of aerosol properties from zenith sky radiance measurements S. Herrero-Anta et al. 10.5194/amt-16-4423-2023
45. Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models M. Gao et al. 10.5194/amt-16-5863-2023
46. Validation and diurnal variation evaluation of MERRA-2 multiple aerosol properties on a global scale X. Su et al. 10.1016/j.atmosenv.2023.120019
47. Combining POLDER-3 satellite observations and WRF-Chem numerical simulations to derive biomass burning aerosol properties over the southeast Atlantic region A. Siméon et al. 10.5194/acp-21-17775-2021
48. A Generalized Aerosol Algorithm for Multi‐Spectral Satellite Measurement With Physics‐Informed Deep Learning Method J. Jiang et al. 10.1029/2023GL106806
49. Modeling radiative and climatic effects of brown carbon aerosols with the ARPEGE-Climat global climate model T. Drugé et al. 10.5194/acp-22-12167-2022
50. Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC A. Lyapustin et al. 10.3389/frsen.2021.645794
51. An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. 10.3390/rs14164045
52. Climate models generally underrepresent the warming by Central Africa biomass-burning aerosols over the Southeast Atlantic M. Mallet et al. 10.1126/sciadv.abg9998
53. An Adaptive Dark-Target Algorithm for Retrieving Land AOD Applied to FY-4B/AGRI Data Y. Si et al. 10.1109/JSTARS.2024.3408251
54. The Inhomogeneity Effect of Sea Salt Aerosols on the TOA Polarized Radiance at the Scattering Angles Ranging From 170° to 175° M. Li et al. 10.1109/TGRS.2021.3099026
55. Validation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations X. Zhang et al. 10.1016/j.atmosres.2021.105802
56. An improved method for retrieving aerosol optical depth over Ebinur Lake Basin from Gaofen-1 F. Liu & Z. Zhang 10.1016/j.atmosenv.2023.119699
57. Continental aerosol properties and absorption retrieval using random forest machine learning method specific to geostationary remote sensing F. Bao et al. 10.1016/j.rse.2024.114275
58. Global validation and comparison of MODIS DT and POLDER-3 GRASP aerosol products over ocean X. Pei et al. 10.1016/j.atmosres.2022.106480
59. AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements N. Schutgens et al. 10.5194/acp-21-6895-2021
60. Fusion of Multisource Satellite AOD Products via Bayesian Maximum Entropy With Explicit A Priori Knowledge H. Zhu et al. 10.1109/TGRS.2023.3285943
61. Polarimetric coordinate validation for merging GRASP and AirMSPI FIREX-AQ observations C. DeLeon et al. 10.1016/j.jqsrt.2024.108910
62. Retrieval of total and fine mode aerosol optical depth by an improved MODIS Dark Target algorithm X. Su et al. 10.1016/j.envint.2022.107343
63. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
64. Characterization of temporal and spatial variability of aerosols from ground-based climatology: towards evaluation of satellite mission requirements C. Chen et al. 10.1016/j.jqsrt.2021.107627
65. A comparison of atmospheric aerosol absorption properties from the MERRA-2 reanalysis with AERONET V. Bakatsoula et al. 10.1016/j.atmosenv.2023.119997
66. Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method W. Man et al. 10.1109/TGRS.2024.3376598
67. Satellite Aerosol Retrieval From Multiangle Polarimetric Measurements: Information Content and Uncertainty Analysis W. Dong et al. 10.1109/TGRS.2023.3264554
68. Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global Scale W. Li et al. 10.3390/rs14112544
69. Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part I: Conditions, approaches, performance and new possibilities P. Litvinov et al. 10.1016/j.rse.2024.114355
70. 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 10.5194/amt-14-4471-2021
71. Evaluation of MERRA-2 Aerosol Optical and Component Properties over China Using SONET and PARASOL/GRASP Data Y. Ou et al. 10.3390/rs14040821
72. The polarization crossfire (PCF) sensor suite focusing on satellite remote sensing of fine particulate matter PM2.5 from space Z. Li et al. 10.1016/j.jqsrt.2022.108217
73. Comparison and evaluation of multiple satellite aerosol products over China in different scenarios under a unified criterion: Preparation for consistent and high-quality dataset construction H. Zhu et al. 10.1016/j.atmosres.2022.106374
74. A Two-Stage Machine Learning Algorithm for Retrieving Multiple Aerosol Properties Over Land: Development and Validation M. Cao et al. 10.1109/TGRS.2023.3307934
75. Intelligent Atmospheric Correction Algorithm for Polarization Ocean Color Satellite Measurements Over the Open Ocean X. He et al. 10.1109/TGRS.2023.3348159
76. 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. 10.5194/acp-24-10543-2024
77. Thermal emission in the successive orders of scattering (SOS) radiative transfer approach M. Herreras-Giralda et al. 10.1016/j.jqsrt.2022.108327
78. Retrieval of aerosol properties using relative radiance measurements from an all-sky camera R. Román et al. 10.5194/amt-15-407-2022
79. Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval X. Yan et al. 10.1021/acs.est.4c02701
80. An Improved Aerosol Retrieval Algorithm Based on Nonlinear Surface Model From FY-3D/MERSI-II Remote Sensing Data Y. Si et al. 10.1109/TGRS.2024.3367883
81. 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. 10.5194/amt-16-2575-2023
82. Retrieval of hourly aerosol single scattering albedo over land using geostationary satellite data X. Jiang et al. 10.1038/s41612-024-00690-6
83. 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. 10.3390/rs13142682
84. Scattering and absorbing aerosols in the climate system J. Li et al. 10.1038/s43017-022-00296-7
85. 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. 10.5194/acp-23-12455-2023
86. Exploring Global Land Coarse-Mode Aerosol Changes from 2001–2021 Using a New Spatiotemporal Coaction Deep-Learning Model Z. Zang et al. 10.1021/acs.est.3c07982
87. Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm S. Jin et al. 10.5194/amt-15-4323-2022
88. Aerosol retrieval over snow using the RemoTAP algorithm Z. Zhang et al. 10.5194/amt-16-6051-2023
89. A review of advances in the retrieval of aerosol properties by remote sensing multi-angle technology Y. Si et al. 10.1016/j.atmosenv.2020.117928
90. Aerosol optical and radiative properties and their environmental effects in China: A review H. Che et al. 10.1016/j.earscirev.2023.104634
91. Active remote sensing of atmospheric dust using relationships between their depolarization ratios and reflectivity E. Zubko et al. 10.1364/OL.426584
92. Evaluation and comparison of MODIS and VIIRS aerosol optical depth (AOD) products over regions in the Eastern Mediterranean and the Black Sea P. Ettehadi Osgouei et al. 10.1016/j.atmosenv.2021.118784
93. A robust and flexible satellite aerosol retrieval algorithm for multi-angle polarimetric measurements with physics-informed deep learning method M. Tao et al. 10.1016/j.rse.2023.113763
94. Opinion: Aerosol remote sensing over the next 20 years L. Remer et al. 10.5194/acp-24-2113-2024
95. Assessing spatiotemporal variations of AOD in Japan based on Himawari-8 L3 V31 aerosol products: Validations and applications Y. Tan et al. 10.1016/j.apr.2022.101439
96. Machine learning based aerosol and ocean color joint retrieval algorithm for multiangle polarimeters over coastal waters K. Aryal et al. 10.1364/OE.522794
97. Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. 10.5194/amt-13-5207-2020
98. Aerosol Optical Depth Retrieval Over Land from Particulate Observing Scanning Polarimeter (POSP) Using a New Look-Up Table (LUT) Method Z. Ji et al. 10.1007/s41810-024-00236-6