82 citations as recorded by crossref.

1. 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
2. Aerosol optical and radiative properties and their environmental effects in China: A review H. Che et al. 10.1016/j.earscirev.2023.104634
3. 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
4. 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
5. 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
6. 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
7. An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. 10.1016/j.jqsrt.2020.107161
8. 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
9. Adapting the Dark Target Algorithm to Advanced MERSI Sensor on the FengYun-3-D Satellite: Retrieval and Validation of Aerosol Optical Depth Over Land S. Jin et al. 10.1109/TGRS.2020.3021021
10. Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al. 10.5194/acp-22-14657-2022
11. Investigation of artificial neural network performance in the aerosol properties retrieval N. Srivastava et al. 10.2166/wcc.2021.336
12. 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
13. 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
14. Effect of aerosol types from various sources at an urban location on spectral curvature of scattering and absorption coefficients D. Kaskaoutis et al. 10.1016/j.atmosres.2021.105865
15. Aerosol Layers in the Troposphere: Peculiarities of Variations in Aerosol Parameters at a Change in the Advection Direction S. Samoilova et al. 10.1134/S1024856020040132
16. Overview of the SLOPE I and II campaigns: aerosol properties retrieved with lidar and sun–sky photometer measurements J. Benavent-Oltra et al. 10.5194/acp-21-9269-2021
17. The Operational Inflight Radiometric Uniform Calibration of a Directional Polarimetric Camera F. Chen et al. 10.3390/rs13193823
18. 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. 10.3389/frsen.2021.706851
19. 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
20. Climatology and trends of aerosol optical depth with different particle size and shape in northeast China from 2001 to 2018 H. Zhao et al. 10.1016/j.scitotenv.2020.142979
21. Improved inversion of aerosol components in the atmospheric column from remote sensing data Y. Zhang et al. 10.5194/acp-20-12795-2020
22. Constraining the complex refractive index of black carbon particles using the complex forward-scattering amplitude N. Moteki et al. 10.1080/02786826.2023.2202243
23. Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean M. Gao et al. 10.5194/amt-15-4859-2022
24. Remote sensing retrieval of aerosol types in China using geostationary satellite X. Chen et al. 10.1016/j.atmosres.2023.107150
25. Major Element Signatures of Silicate Dust Deposited on the West African Margin: Links With Transport Patterns and Provenance Regions M. Le Quilleuc et al. 10.1029/2021JD035030
26. Long-Term Variation of Black Carbon Aerosol in China Based on Revised Aethalometer Monitoring Data B. Guo et al. 10.3390/atmos11070684
27. 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. 10.3390/rs14051057
28. 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
29. Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations S. Go et al. 10.5194/acp-22-1395-2022
30. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
31. The implementation of dust mineralogy in COSMO5.05-MUSCAT S. Gómez Maqueo Anaya et al. 10.5194/gmd-17-1271-2024
32. Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. 10.5194/essd-12-3573-2020
33. Evaluation of MERRA-2 Aerosol Optical and Component Properties over China Using SONET and PARASOL/GRASP Data Y. Ou et al. 10.3390/rs14040821
34. 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. 10.5194/acp-22-11957-2022
35. Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index S. Wang et al. 10.1016/j.atmosenv.2020.117959
36. Grand Challenges in Satellite Remote Sensing O. Dubovik et al. 10.3389/frsen.2021.619818
37. Algorithm evaluation for polarimetric remote sensing of atmospheric aerosols O. Hasekamp et al. 10.5194/amt-17-1497-2024
38. Retrieval of aerosol optical thickness and surface parameters based on multi-spectral and multi-viewing space-borne measurements M. Vountas et al. 10.1016/j.jqsrt.2020.107311
39. Impact of meteorological parameterization schemes on CTM model simulations N. Srivastava & N. Blond 10.1016/j.atmosenv.2021.118832
40. Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC A. Lyapustin et al. 10.3389/frsen.2021.645794
41. Sensitivity and uncertainties assessment in radiative forcing due to aerosol optical properties in diverse locations in China F. Lu et al. 10.1016/j.scitotenv.2022.160447
42. Columnar Aerosol Optical Property Characterization and Aerosol Typing Based on Ground-Based Observations in a Rural Site in the Central Yangtze River Delta Region Y. Xie et al. 10.3390/rs14020406
43. Relative contributions of component-segregated aerosols to trends in aerosol optical depth over land (2007–2019): Insights from CAMS aerosol reanalysis H. Zhao et al. 10.1016/j.atmosenv.2024.120676
44. Retrievals of fine mode light-absorbing carbonaceous aerosols from POLDER/PARASOL observations over East and South Asia L. Li et al. 10.1016/j.rse.2020.111913
45. FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG H. Ding et al. 10.3390/rs14215591
46. Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. 10.5194/amt-15-4881-2022
47. 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
48. 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
49. Influence of aerosol properties and surface albedo on radiative forcing efficiency of key aerosol types using global AERONET data A. Chen et al. 10.1016/j.atmosres.2022.106519
50. Editorial: DSCOVR EPIC/NISTAR: 5 Years of Observing Earth From the First Lagrangian Point A. Marshak et al. 10.3389/frsen.2022.963660
51. 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
52. Shortwave absorption by wildfire smoke dominated by dark brown carbon R. Chakrabarty et al. 10.1038/s41561-023-01237-9
53. 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
54. 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
55. Aerosol models from the AERONET database: application to surface reflectance validation J. Roger et al. 10.5194/amt-15-1123-2022
56. 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
57. Quantitative Evaluation of Dust and Black Carbon Column Concentration in the MERRA-2 Reanalysis Dataset Using Satellite-Based Component Retrievals L. Li et al. 10.3390/rs15020388
58. Columnar optical-radiative properties and components of aerosols in the Arctic summer from long-term AERONET measurements Y. Liang et al. 10.1016/j.scitotenv.2023.169052
59. A satellite-measured view of aerosol component content and optical property in a haze-polluted case over North China Plain L. Li et al. 10.1016/j.atmosres.2021.105958
60. Retrieving aerosols single scattering albedo from MODIS reflectances Q. Wang et al. 10.1016/j.atmosres.2022.106381
61. Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm R. Zhang et al. 10.3390/atmos14020241
62. Climatology of Fine and Coarse Mode Aerosol Optical Thickness Over East and South Asia Derived From POLDER/PARASOL Satellite L. Li et al. 10.1029/2020JD032665
63. Circular polarization in atmospheric aerosols S. Gassó & K. Knobelspiesse 10.5194/acp-22-13581-2022
64. 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
65. Deriving composition-dependent aerosol absorption, scattering and extinction mass efficiencies from multi-annual high time resolution observations in Northern France A. Velazquez-Garcia et al. 10.1016/j.atmosenv.2023.119613
66. Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
67. Vertical assessment of the mineral dust optical and microphysical properties as retrieved from the synergy between polarized micro-pulse lidar and sun/sky photometer observations using GRASP code M. López-Cayuela et al. 10.1016/j.atmosres.2021.105818
68. 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
69. Long-Term Observations of Aureole Scattering Phase Function in the Surface Air Layer in Suburbs of Tomsk (2010–2021) V. Pol’kin et al. 10.1134/S1024856023030089
70. Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives Y. Zhang et al. 10.1016/j.fmre.2021.04.007
71. Opinion: Aerosol remote sensing over the next 20 years L. Remer et al. 10.5194/acp-24-2113-2024
72. Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data F. Wang et al. 10.5194/amt-15-6127-2022
73. Retrieval of Aerosol Single-Scattering Albedo from MODIS Data Using an Artificial Neural Network L. Qi et al. 10.3390/rs14246341
74. Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. 10.5194/acp-20-139-2020
75. 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
76. 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
77. 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. 10.1016/j.envint.2020.106097
78. Characteristics of particulate matter and meteorological conditions of a typical air-pollution episode in Shenyang, northeastern China, in winter 2017 Y. Liu et al. 10.1016/j.apr.2020.09.007
79. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
80. Satellite (GOSAT-2 CAI-2) retrieval and surface (ARFINET) observations of aerosol black carbon over India M. Gogoi et al. 10.5194/acp-23-8059-2023
81. Optimized profile retrievals of aerosol microphysical properties from simulated spaceborne multiwavelength Lidar D. Pérez-Ramírez et al. 10.1016/j.jqsrt.2020.106932
82. Machine learning based aerosol and ocean color joint retrieval algorithm for multiangle polarimeters over coastal waters K. Aryal et al. 10.1364/OE.522794