65 citations as recorded by crossref.

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3. Comparative analysis of MODIS, MISR, and AERONET climatology over the Middle East and North Africa A. Farahat 10.5194/angeo-37-49-2019
4. Impact of dust and smoke mixing on column-integrated aerosol properties from observations during a severe wildfire episode over Valencia (Spain) J. Gómez-Amo et al. 10.1016/j.scitotenv.2017.05.041
5. Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements S. Go et al. 10.1016/j.rse.2020.111759
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7. A Satellite Data Based Detailed Study of the Aerosol Emitted from Open Biomass Burning in Northeast China S. Shi et al. 10.3390/atmos12121700
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9. Constrained Retrievals of Aerosol Optical Properties Using Combined Lidar and Imager Measurements During the FIREX-AQ Campaign N. Midzak et al. 10.3389/frsen.2022.818605
10. Augmenting Heritage Ocean-Color Aerosol Models for Enhanced Remote Sensing of Inland and Nearshore Coastal Waters M. Montes et al. 10.3389/frsen.2022.860816
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12. Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. 10.1002/2017JD027412
13. Swelling of transported smoke from savanna fires over the Southeast Atlantic Ocean J. Kar et al. 10.1016/j.rse.2018.03.043
14. Photopolarimetric Sensitivity to Black Carbon Content of Wildfire Smoke: Results From the 2016 ImPACT‐PM Field Campaign O. Kalashnikova et al. 10.1029/2017JD028032
15. Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS) M. Kim et al. 10.5194/acp-16-1789-2016
16. Radiative characteristics of aerosol during extreme fire event over Siberia in summer 2012 T. Zhuravleva et al. 10.5194/amt-10-179-2017
17. Trans-pacific aerosol vertical structure revealed by spaceborne lidar CALIOP J. Xu et al. 10.1016/j.atmosenv.2018.12.035
18. Direct Detection of Severe Biomass Burning Aerosols from Satellite Data M. Nakata et al. 10.3390/atmos13111913
19. Tropospheric and stratospheric wildfire smoke profiling with lidar: mass, surface area, CCN, and INP retrieval A. Ansmann et al. 10.5194/acp-21-9779-2021
20. Absorption of aerosols above clouds from POLDER/PARASOL measurements and estimation of their direct radiative effect F. Peers et al. 10.5194/acp-15-4179-2015
21. Comparison of aerosol optical properties above clouds between POLDER and AeroCom models over the South East Atlantic Ocean during the fire season F. Peers et al. 10.1002/2016GL068222
22. Spring 2020 Atmospheric Aerosol Contamination over Kyiv City C. Zhang et al. 10.3390/atmos13050687
23. Evaluation of Novel NASA Moderate Resolution Imaging Spectroradiometer and Visible Infrared Imaging Radiometer Suite Aerosol Products and Assessment of Smoke Height Boundary Layer Ratio During Extreme Smoke Events in the Western USA S. Loría‐Salazar et al. 10.1029/2020JD034180
24. Aerosol retrieval from space – how does geometry of acquisition impact our ability to characterize aerosol properties B. Fougnie et al. 10.1016/j.jqsrt.2020.107304
25. 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
26. A Decadal Climatology of Chemical, Physical, and Optical Properties of Ambient Smoke in the Western and Southeastern United States Q. Bian et al. 10.1029/2019JD031372
27. Deriving brown carbon from multiwavelength absorption measurements: method and application to AERONET and Aethalometer observations X. Wang et al. 10.5194/acp-16-12733-2016
28. Ground/space, passive/active remote sensing observations coupled with particle dispersion modelling to understand the inter-continental transport of wildfire smoke plumes M. Sicard et al. 10.1016/j.rse.2019.111294
29. Biomass burning aerosol characteristics for different vegetation types in different aging periods S. Shi et al. 10.1016/j.envint.2019.02.073
30. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
31. Characterization of Wildfire Smoke over Complex Terrain Using Satellite Observations, Ground-Based Observations, and Meteorological Models M. Nakata et al. 10.3390/rs14102344
32. Algorithms for the classification and characterization of aerosols: utility verification of near-UV satellite observations S. Mukai et al. 10.1117/1.JRS.13.014527
33. The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm J. Tackett et al. 10.5194/amt-16-745-2023
34. Aerosol Shortwave Radiative Heating and Cooling by the 2017 and 2023 Chilean Wildfire Smoke Plumes M. de Graaf et al. 10.1029/2023GL104387
35. Direct radiative effect of aerosols based on PARASOL and OMI satellite observations C. Lacagnina et al. 10.1002/2016JD025706
36. The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. 10.5194/amt-11-6107-2018
37. Improved Algorithms for Remote Sensing-Based Aerosol Retrieval during Extreme Biomass Burning Events S. Mukai et al. 10.3390/atmos12030403
38. Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land A. Sayer et al. 10.1029/2018JD029598
39. Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations C. Reddington et al. 10.5194/acp-16-11083-2016
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. Spatiotemporal relationship between Himawari-8 hourly columnar aerosol optical depth (AOD) and ground-level PM2.5 mass concentration in mainland China Q. Xu et al. 10.1016/j.scitotenv.2020.144241
42. 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
43. Impact of the Atmospheric Photochemical Evolution of the Organic Component of Biomass Burning Aerosol on Its Radiative Forcing Efficiency: A Box Model Analysis T. Zhuravleva et al. 10.3390/atmos12121555
44. Long-term observation of columnar aerosol optical properties over the remote South China Sea S. Pani et al. 10.1016/j.scitotenv.2023.167113
45. Observation of absorbing aerosols above clouds over the south-east Atlantic Ocean from the geostationary satellite SEVIRI – Part 1: Method description and sensitivity F. Peers et al. 10.5194/acp-19-9595-2019
46. Role of the Madden‐Julian Oscillation in the Transport of Smoke From Sumatra to the Malay Peninsula During Severe Non‐El Niño Haze Events S. Koplitz et al. 10.1029/2018JD028533
47. The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. 10.3390/rs12182900
48. Investigating horizontal and vertical pollution gradients in the atmosphere associated with an urban location in complex terrain, Reno, Nevada, USA A. Pierce et al. 10.1016/j.atmosenv.2018.09.063
49. Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
50. 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
51. A Short Note on the Potential of Utilization of Spectral AERONET-Derived Depolarization Ratios for Aerosol Classification I. Zo & S. Shin 10.3390/atmos10030143
52. Radiative response of biomass-burning aerosols over an urban atmosphere in northern peninsular Southeast Asia S. Pani et al. 10.1016/j.scitotenv.2018.03.204
53. Radiative impact of an extreme Arctic biomass-burning event J. Lisok et al. 10.5194/acp-18-8829-2018
54. Satellite inference of water vapour and above-cloud aerosol combined effect on radiative budget and cloud-top processes in the southeastern Atlantic Ocean L. Deaconu et al. 10.5194/acp-19-11613-2019
55. Intercomparison of biomass burning aerosol optical properties from in situ and remote-sensing instruments in ORACLES-2016 K. Pistone et al. 10.5194/acp-19-9181-2019
56. Aerosol single‐scattering albedo over the global oceans: Comparing PARASOL retrievals with AERONET, OMI, and AeroCom models estimates C. Lacagnina et al. 10.1002/2015JD023501
57. RETRACTED ARTICLE: ArticleNoteEvaluation and simulation of medical sports health equipment multimedia image based on information asymmetry theory R. Li 10.1007/s11042-019-07883-9
58. Assessment of urban aerosol pollution over the Moscow megacity by the MAIAC aerosol product E. Zhdanova et al. 10.5194/amt-13-877-2020
59. Anomalous Selective Absorption of Smoke Aerosol during Forest Fires in Alaska in July–August 2019 G. Gorchakov et al. 10.1134/S000143382306004X
60. Toward understanding atmospheric physics impacting the relationship between columnar aerosol optical depth and near-surface PM mass concentrations in Nevada and California, U.S.A., during 2013 S. Loría-Salazar et al. 10.1016/j.atmosenv.2017.10.023
61. Model Estimates of Dynamics of the Vertical Structure of Solar Absorption and Temperature Effects under Background Conditions and in Extremely Smoke-Laden Atmosphere According to Data of Aircraft Observations T. Zhuravleva et al. 10.1134/S1024856018010153
62. Extending “Deep Blue” aerosol retrieval coverage to cases of absorbing aerosols above clouds: Sensitivity analysis and first case studies A. Sayer et al. 10.1002/2015JD024729
63. Progress and Challenges in Quantifying Wildfire Smoke Emissions, Their Properties, Transport, and Atmospheric Impacts I. Sokolik et al. 10.1029/2018JD029878
64. Multi year aerosol characterization in the tropical Andes and in adjacent Amazonia using AERONET measurements D. Pérez-Ramírez et al. 10.1016/j.atmosenv.2017.07.037
65. Evaluating the impact of aerosol particles above cloud on cloud optical depth retrievals from MODIS R. Alfaro‐Contreras et al. 10.1002/2013JD021270