80 citations as recorded by crossref.

1. The Significant Contribution of Small-Sized and Spherical Aerosol Particles to the Decreasing Trend in Total Aerosol Optical Depth over Land from 2003 to 2018 K. Gui et al. 10.1016/j.eng.2021.05.017
2. Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics K. Li et al. 10.1016/j.isprsjprs.2022.09.001
3. 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
4. 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
5. A Multi-Angle Method for Simultaneous Retrieval of Aerosol Optical Depth and Bidirectional Reflectance Over Case II Waters Z. Han et al. 10.3389/fenvs.2022.900694
6. Enhanced dust emission following large wildfires due to vegetation disturbance Y. Yu & P. Ginoux 10.1038/s41561-022-01046-6
7. The Evolution of Icelandic Volcano Emissions, as Observed From Space in the Era of NASA's Earth Observing System (EOS) V. Flower & R. Kahn 10.1029/2019JD031625
8. Long-term trends in Aerosol Optical Depth obtained across the globe using multi-satellite measurements G. Gupta et al. 10.1016/j.atmosenv.2022.118953
9. Application of Bayesian Additive Regression Trees for Estimating Daily Concentrations of PM2.5 Components T. Zhang et al. 10.3390/atmos11111233
10. Assessment of long-term particulate nitrate air pollution and its health risk in China Y. Hang et al. 10.1016/j.isci.2022.104899
11. Disproving the Bodélé Depression as the Primary Source of Dust Fertilizing the Amazon Rainforest Y. Yu et al. 10.1029/2020GL088020
12. Atmospheric elemental carbon pollution and its regional health disparities in China Y. Hang et al. 10.1088/1748-9326/ad0862
13. How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer 10.1029/2020EA001290
14. Diurnal time representation of MODIS, VIIRS, MISR, and AHI over Asia and Oceania Z. Yang et al. 10.1016/j.rse.2023.113878
15. Evaluation of LaSRC aerosol optical depth from Landsat-8 and Sentinel-2 in Guangdong-Hong Kong-Macao greater bay area, China Y. Jin et al. 10.1016/j.atmosenv.2022.119128
16. Extreme arid conditions: Association among soiling characteristics, transmittance loss and climatic conditions P. Tobosque et al. 10.1016/j.solener.2022.05.020
17. Aerosol radiative forcings induced by substantial changes in anthropogenic emissions in China from 2008 to 2016 M. Liu & H. Matsui 10.5194/acp-21-5965-2021
18. Assessment of the Spatial Structure of Black Carbon Concentrations in the Near-Surface Arctic Atmosphere E. Nagovitsyna et al. 10.3390/atmos14010139
19. 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
20. Understanding processes that control dust spatial distributions with global climate models and satellite observations M. Wu et al. 10.5194/acp-20-13835-2020
21. Understanding Top‐of‐Atmosphere Flux Bias in the AeroCom Phase III Models: A Clear‐Sky Perspective W. Su et al. 10.1029/2021MS002584
22. Retrieval uncertainty and consistency of Suomi-NPP VIIRS Deep Blue and Dark Target aerosol products under diverse aerosol loading scenarios over South Asia K. Aditi et al. 10.1016/j.envpol.2023.121913
23. Using a New Top‐Down Constrained Emissions Inventory to Attribute the Previously Unknown Source of Extreme Aerosol Loadings Observed Annually in the Monsoon Asia Free Troposphere S. Wang et al. 10.1029/2021EF002167
24. Extreme Aerosol Events Over Eastern North America: 1. Characterizing and Simulating Historical Events Y. Guo et al. 10.1029/2020JD033758
25. A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia S. Jin et al. 10.5194/acp-23-8187-2023
26. Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China M. Ali et al. 10.1016/j.atmosenv.2022.119297
27. Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019) A. Mhawish et al. 10.1016/j.rse.2021.112410
28. Influence of observation angle change on satellite retrieval of aerosol optical depth L. Chen et al. 10.1080/16000889.2021.1940758
29. Introducing the MISR level 2 near real-time aerosol product M. Witek et al. 10.5194/amt-14-5577-2021
30. Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
31. The health impacts of Indonesian peatland fires L. Hein et al. 10.1186/s12940-022-00872-w
32. Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations R. Fan et al. 10.1016/j.scitotenv.2022.159117
33. Evaluation and Comparison of Spatio-Temporal Relationship between Multiple Satellite Aerosol Optical Depth (AOD) and Near-Surface PM2.5 Concentration over China Q. Xu et al. 10.3390/rs14225841
34. A MAIA-like modeling framework to estimate PM2.5 mass and speciation concentrations with uncertainty Z. Jin et al. 10.1016/j.rse.2024.113995
35. Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
36. 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
37. Assessment of the impact of discontinuity in satellite instruments and retrievals on global PM2.5 estimates M. Hammer et al. 10.1016/j.rse.2023.113624
38. 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
39. Background noise model of spaceborne photon-counting lidars over oceans and aerosol optical depth retrieval from ICESat-2 noise data J. Yang et al. 10.1016/j.rse.2023.113858
40. Probabilistic merging and verification of monthly gridded aerosol products D. Yang & C. Gueymard 10.1016/j.atmosenv.2020.118146
41. National Civil Space Infrastructure Satellite Aerosol Product Validation Network (SIAVNET) measurements: Supporting satellite aerosol product validation for different surface types over China T. Cheng et al. 10.1016/j.atmosres.2022.106508
42. A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China X. Meng et al. 10.1016/j.envint.2023.107740
43. Temporal evolution of aerosols and their extreme events in polluted Asian regions during Terra's 20-year observations Z. Hu et al. 10.1016/j.rse.2021.112541
44. Aerosol Absorption Over Land Derived From the Ultra-Violet Aerosol Index by Deep Learning J. Sun et al. 10.1109/JSTARS.2021.3108669
45. A global analysis of diurnal variability in dust and dust mixture using CATS observations Y. Yu et al. 10.5194/acp-21-1427-2021
46. Assessing the contribution of the ENSO and MJO to Australian dust activity based on satellite- and ground-based observations Y. Yu & P. Ginoux 10.5194/acp-21-8511-2021
47. Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States C. Wu et al. 10.3390/rs12223813
48. Validation, Analysis, and Comparison of Misr V23 Aerosol Optical Depth Products with Modis and Aeronet Observations R. Fan et al. 10.2139/ssrn.4143337
49. Satellite Multi‐Angle Observations of Wildfire Smoke Plumes During the CalFiDE Field Campaign: Aerosol Plume Heights, Particle Property Evolution, and Aging Timescales K. Noyes & R. Kahn 10.1029/2023JD039041
50. Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) M. Hammer et al. 10.1021/acs.est.0c01764
51. Application of Topological Data Analysis to Multi-Resolution Matching of Aerosol Optical Depth Maps D. Ofori-Boateng et al. 10.3389/fenvs.2021.684716
52. Improving Aerosol Retrieval From MISR With a Physics-Informed Deep Learning Method W. Man et al. 10.1109/TGRS.2024.3376598
53. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China J. Wei et al. 10.1016/j.envint.2020.106290
54. 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. 10.5194/amt-15-6865-2022
55. Characterization of Aerosol Type Over East Asia by 4.4 km MISR Product: First Insight and General Performance M. Tao et al. 10.1029/2019JD031909
56. A global-scale analysis of the MISR Level-3 aerosol optical depth (AOD) product: Comparison with multi-platform AOD data sources K. Gui et al. 10.1016/j.apr.2021.101238
57. Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets X. Su et al. 10.1109/TGRS.2023.3330544
58. Effects of COVID-19 lockdowns on fine particulate matter concentrations M. Hammer et al. 10.1126/sciadv.abg7670
59. Expanding the coverage of Multi-angle Imaging SpectroRadiometer (MISR) aerosol retrievals over shallow, turbid, and eutrophic waters R. Nelson et al. 10.5194/amt-16-4947-2023
60. An intercomparison of SEMARA high-resolution AOD and MODIS operational AODs M. Bagherinia et al. 10.1016/j.apr.2023.102023
61. 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
62. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe N. Ajtai et al. 10.3390/rs13050844
63. An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. 10.3390/rs14164045
64. Satellite-based, top-down approach for the adjustment of aerosol precursor emissions over East Asia: the TROPOspheric Monitoring Instrument (TROPOMI) NO2 product and the Geostationary Environment Monitoring Spectrometer (GEMS) aerosol optical depth (AOD) data fusion product and its proxy J. Park et al. 10.5194/amt-16-3039-2023
65. Validation and Analysis of MISR and POLDER Aerosol Products over China S. Jiao et al. 10.3390/rs14153697
66. Exploring the factors responsible for aerosol asymmetric trends over Indo-Gangetic Plain using remote sensing observations K. Shukla et al. 10.1016/j.jastp.2024.106220
67. Seasonal distribution and vertical structure of different types of aerosols in southwest China observed from CALIOP T. Liao et al. 10.1016/j.atmosenv.2020.118145
68. Investigating the long-term trends in aerosol optical depth and its association with meteorological parameters and enhanced vegetation index over Turkey Ö. Zeydan et al. 10.1007/s11356-022-23553-0
69. 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
70. Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend P. Xian et al. 10.5194/acp-22-9915-2022
71. Fusion of Multisource Satellite AOD Products via Bayesian Maximum Entropy With Explicit A Priori Knowledge H. Zhu et al. 10.1109/TGRS.2023.3285943
72. Seasonal variability and trends in global type-segregated aerosol optical depth as revealed by MISR satellite observations K. Gui et al. 10.1016/j.scitotenv.2021.147543
73. Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations K. Knobelspiesse et al. 10.5194/amt-14-3233-2021
74. Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian Biomass Burning Plumes I. Konovalov et al. 10.3390/rs14112625
75. Aerosol profiling using radiometric and polarimetric spectral measurements in the O2 near infrared bands: Estimation of information content and measurement uncertainties M. Choi et al. 10.1016/j.rse.2020.112179
76. A surface reflectance correction model to improve the retrieval of MISR aerosol optical depth supported by MODIS data L. Chen et al. 10.1016/j.asr.2020.10.033
77. Characteristics of the Spatio-Temporal Dynamics of Aerosols in Central Asia and Their Influencing Factors Y. Zhou et al. 10.3390/rs14112684
78. Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations F. Lemmouchi et al. 10.3390/rs14112582
79. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
80. Spatiotemporal Characteristics of the Association between AOD and PM over the California Central Valley M. Sorek-Hamer et al. 10.3390/rs12040685