46 citations as recorded by crossref.

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4. Changes in the shape of cloud ice water content vertical structure due to aerosol variations S. Massie et al. https://doi.org/10.5194/acp-16-6091-2016
5. A Review on Estimation of Particulate Matter from Satellite-Based Aerosol Optical Depth: Data, Methods, and Challenges A. Ranjan et al. https://doi.org/10.1007/s13143-020-00215-0
6. 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
7. Clear‐sky shortwave radiative closure for the Cabauw Baseline Surface Radiation Network site, Netherlands P. Wang et al. https://doi.org/10.1029/2009JD011978
8. Dust Detection and Optical Depth Retrieval Using MSG‑SEVIRI Data F. Romano et al. https://doi.org/10.3390/atmos4010035
9. How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Ångström exponent J. Jin et al. https://doi.org/10.5194/acp-23-1641-2023
10. Ozone Monitoring Instrument aerosol products: a comparison study with ground-based airborne sun photometer measurements over Europe A. Ali et al. https://doi.org/10.1080/01431161.2012.685526
11. Impact of precipitation on aerosols index over selected stations in Iraq using remote sensing technique A. AL-Salihi https://doi.org/10.1007/s40808-017-0315-y
12. Himawari-8/AHI Aerosol Optical Depth Detection Based on Machine Learning Algorithm Y. Chen et al. https://doi.org/10.3390/rs14132967
13. Aerosol model selection and uncertainty modelling by adaptive MCMC technique M. Laine & J. Tamminen https://doi.org/10.5194/acp-8-7697-2008
14. Spatio-Temporal Variability of Aerosol Optical Depth, Total Ozone and NO2 Over East Asia: Strategy for the Validation to the GEMS Scientific Products S. Park et al. https://doi.org/10.3390/rs12142256
15. Retrieval algorithm for aerosol effective height from the Geostationary Environment Monitoring Spectrometer (GEMS) S. Park et al. https://doi.org/10.5194/amt-18-2241-2025
16. Saharan dust transport and deposition towards the tropical northern Atlantic K. Schepanski et al. https://doi.org/10.5194/acp-9-1173-2009
17. Comparison of aerosol optical depths from the Ozone Monitoring Instrument (OMI) on Aura with results from airborne sunphotometry, other space and ground measurements during MILAGRO/INTEX-B J. Livingston et al. https://doi.org/10.5194/acp-9-6743-2009
18. Aerosol-type retrieval and uncertainty quantification from OMI data A. Kauppi et al. https://doi.org/10.5194/amt-10-4079-2017
19. Quiescence of Asian dust events in South Korea and Japan during 2012 spring: Dust outbreaks and transports Y. Lee et al. https://doi.org/10.1016/j.atmosenv.2015.05.035
20. Multispectral information from TANSO-FTS instrument – Part 2: Application to aerosol effect on greenhouse gas retrievals H. Herbin et al. https://doi.org/10.5194/amt-6-3313-2013
21. Aerosols and surface UV products from Ozone Monitoring Instrument observations: An overview O. Torres et al. https://doi.org/10.1029/2007JD008809
22. An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations U. Jeong et al. https://doi.org/10.5194/acp-16-177-2016
23. Understanding the aerosol information content in multi-spectral reflectance measurements using a synergetic retrieval algorithm D. Martynenko et al. https://doi.org/10.5194/amt-3-1589-2010
24. The role of cloud contamination, aerosol layer height and aerosol model in the assessment of the OMI near-UV retrievals over the ocean S. Gassó & O. Torres https://doi.org/10.5194/amt-9-3031-2016
25. 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. https://doi.org/10.3390/rs13142779
26. A Bayesian Framework to Quantify Uncertainty in Aerosol Optical Model Selection Applied to TROPOMI Measurements A. Kauppi et al. https://doi.org/10.3390/rs16111945
27. Development of an aerosol optical depth retrieval algorithm based on an improved scattering angle scheme for Advanced Himawari Imager observations J. Jin et al. https://doi.org/10.1016/j.atmosres.2025.107944
28. Retrievals of aerosol layer height during dust events over the taklimakan and gobi desert S. Chen et al. https://doi.org/10.1016/j.jqsrt.2020.107198
29. Improving Remote Sensing of Aerosol Microphysical Properties by Near‐Infrared Polarimetric Measurements Over Vegetated Land: Information Content Analysis W. Hou et al. https://doi.org/10.1002/2017JD027388
30. Long‐range transport of Saharan dust over northwestern Europe during EUCAARI 2008 campaign: Evolution of dust optical properties by scavenging N. Bègue et al. https://doi.org/10.1029/2012JD017611
31. Characterization and intercomparison of aerosol absorption photometers: result of two intercomparison workshops T. Müller et al. https://doi.org/10.5194/amt-4-245-2011
32. An improved dark target method for aerosol optical depth retrieval over China from Himawari-8 L. Gao et al. https://doi.org/10.1016/j.atmosres.2020.105399
33. Modelled and measured effects of clouds on UV Aerosol Indices on a local, regional, and global scale M. Penning de Vries & T. Wagner https://doi.org/10.5194/acp-11-12715-2011
34. Intercomparison of desert dust optical depth from satellite measurements E. Carboni et al. https://doi.org/10.5194/amt-5-1973-2012
35. Comparison of Aerosol Single Scattering Albedo Derived from the Ozone Monitoring Instrument with Aerosol Robotic Network Observations L. Qi & H. Yu-Lan https://doi.org/10.1080/16742834.2012.11447001
36. A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al. https://doi.org/10.5194/amt-13-373-2020
37. Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements S. Go et al. https://doi.org/10.1016/j.rse.2020.111759
38. An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O2 − O2 spectral band using a neural network approach J. Chimot et al. https://doi.org/10.5194/amt-10-783-2017
39. Utilization of O4 slant column density to derive aerosol layer height from a space-borne UV–visible hyperspectral sensor: sensitivity and case study S. Park et al. https://doi.org/10.5194/acp-16-1987-2016
40. An algorithm for hyperspectral remote sensing of aerosols: 2. Information content analysis for aerosol parameters and principal components of surface spectra W. Hou et al. https://doi.org/10.1016/j.jqsrt.2017.01.041
41. Trans-Pacific transport and evolution of aerosols: evaluation of quasi-global WRF-Chem simulation with multiple observations Z. Hu et al. https://doi.org/10.5194/gmd-9-1725-2016
42. Evaluation and possible uncertainty source analysis of JAXA Himawari-8 aerosol optical depth product over China L. Gao et al. https://doi.org/10.1016/j.atmosres.2020.105248
43. Retrieval and Validation of Atmospheric Aerosol Optical Depth From AVHRR Over China L. Gao et al. https://doi.org/10.1109/TGRS.2016.2574756
44. Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements A. Määttä et al. https://doi.org/10.5194/amt-7-1185-2014
45. A Long-Term Historical Aerosol Optical Depth Data Record (1982–2011) Over China From AVHRR L. Gao et al. https://doi.org/10.1109/TGRS.2018.2873944
46. Study on an intense dust storm over Greece D. Kaskaoutis et al. https://doi.org/10.1016/j.atmosenv.2008.05.017