373 citations as recorded by crossref.

1. Size-dependent wet removal of black carbon in Canadian biomass burning plumes J. Taylor et al. https://doi.org/10.5194/acp-14-13755-2014
2. Radiative Forcing of Smoke Aerosol Taking into Account the Photochemical Evolution of Its Organic Component: Impact of Illumination Conditions and Surface Albedo T. Zhuravleva et al. https://doi.org/10.1134/S1024856023010219
3. A Decadal Climatology of Chemical, Physical, and Optical Properties of Ambient Smoke in the Western and Southeastern United States Q. Bian et al. https://doi.org/10.1029/2019JD031372
4. In-Use Emissions and Estimated Impacts of Traditional, Natural- and Forced-Draft Cookstoves in Rural Malawi R. Wathore et al. https://doi.org/10.1021/acs.est.6b05557
5. Long-term measurements of aerosol composition at rural background sites in France: Sources, seasonality and mass closure of PM2.5 A. Font et al. https://doi.org/10.1016/j.atmosenv.2024.120724
6. Characterization of Extremely Fresh Biomass Burning Aerosol by Means of Lidar Observations B. De Rosa et al. https://doi.org/10.3390/rs14194984
7. Emission factors and composition of PM2.5 from laboratory combustion of five Western Australian vegetation types T. Dong et al. https://doi.org/10.1016/j.scitotenv.2019.134796
8. Trace gas and particle emissions from open biomass burning in Mexico R. Yokelson et al. https://doi.org/10.5194/acp-11-6787-2011
9. Simultaneously inferring above‐cloud absorbing aerosol optical thickness and underlying liquid phase cloud optical and microphysical properties using MODIS K. Meyer et al. https://doi.org/10.1002/2015JD023128
10. Smoke aerosol properties and ageing effects for northern temperate and boreal regions derived from AERONET source and age attribution T. Nikonovas et al. https://doi.org/10.5194/acp-15-7929-2015
11. Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index J. Sun et al. https://doi.org/10.5194/amt-11-5261-2018
12. AERONET Remotely Sensed Measurements and Retrievals of Biomass Burning Aerosol Optical Properties During the 2015 Indonesian Burning Season T. Eck et al. https://doi.org/10.1029/2018JD030182
13. Characterization of biomass burning tracers in particulate matter at 12 sites in China: Significant increase of coal combustion emitted levoglucosan in northern China during winter J. Wang et al. https://doi.org/10.1016/j.scitotenv.2024.174520
14. Fractal Dimensions of Biomass Burning Aerosols from TEM Images Using the Box-Grid and Nested Squares Methods T. Honablew et al. https://doi.org/10.3390/atmos14020221
15. Evaluation of aerosol- and gas-phase tracers for identification of transported biomass burning emissions in an industrially influenced location in Texas, USA S. Shrestha et al. https://doi.org/10.5194/acp-23-10845-2023
16. Short-term impacts of 2017 western North American wildfires on meteorology, the atmosphere’s energy budget, and premature mortality D. Bernstein et al. https://doi.org/10.1088/1748-9326/ac02ee
17. Biomass burning aerosol characteristics for different vegetation types in different aging periods S. Shi et al. https://doi.org/10.1016/j.envint.2019.02.073
18. Effects of seed particles and relative humidity on brown carbon formation from NO3-driven oxidation of vanillin S. Mai et al. https://doi.org/10.1016/j.atmosenv.2026.121827
19. Climatology of aerosol radiative properties in the free troposphere E. Andrews et al. https://doi.org/10.1016/j.atmosres.2011.08.017
20. Retrieving the height of smoke and dust aerosols by synergistic use of VIIRS, OMPS, and CALIOP observations J. Lee et al. https://doi.org/10.1002/2015JD023567
21. 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. https://doi.org/10.5194/acp-24-10543-2024
22. Measured and modeled humidification factors of fresh smoke particles from biomass burning: role of inorganic constituents J. Hand et al. https://doi.org/10.5194/acp-10-6179-2010
23. From BASE-ASIA toward 7-SEAS: A satellite-surface perspective of boreal spring biomass-burning aerosols and clouds in Southeast Asia S. Tsay et al. https://doi.org/10.1016/j.atmosenv.2012.12.013
24. Amplification of black carbon light absorption induced by atmospheric aging: temporal variation at seasonal and diel scales in urban Guangzhou J. Sun et al. https://doi.org/10.5194/acp-20-2445-2020
25. An important fingerprint of wildfires on the European aerosol load F. Barnaba et al. https://doi.org/10.5194/acp-11-10487-2011
26. Distribution and stable carbon isotopic composition of dicarboxylic acids, ketocarboxylic acids and α-dicarbonyls in fresh and aged biomass burning aerosols M. Shen et al. https://doi.org/10.5194/acp-22-7489-2022
27. The Uncharacteristic Occurrence of the June 2013 Biomass-Burning Haze Event in Southeast Asia: Effects of the Madden-Julian Oscillation and Tropical Cyclone Activity Y. Oozeer et al. https://doi.org/10.3390/atmos11010055
28. Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in Siberian wildfire plumes I. Konovalov et al. https://doi.org/10.5194/acp-21-357-2021
29. Black carbon in the Lower Fraser Valley, British Columbia: Impact of 2017 wildfires on local air quality and aerosol optical properties R. Healy et al. https://doi.org/10.1016/j.atmosenv.2019.116976
30. Physiochemical properties of carbonaceous aerosol from agricultural residue burning: Density, volatility, and hygroscopicity C. Li et al. https://doi.org/10.1016/j.atmosenv.2016.05.052
31. Changes in PM2.5 peat combustion source profiles with atmospheric aging in an oxidation flow reactor J. Chow et al. https://doi.org/10.5194/amt-12-5475-2019
32. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power J. Kaiser et al. https://doi.org/10.5194/bg-9-527-2012
33. An evaluation of the impact of aerosol particles on weather forecasts from a biomass burning aerosol event over the Midwestern United States: observational-based analysis of surface temperature J. Zhang et al. https://doi.org/10.5194/acp-16-6475-2016
34. Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. https://doi.org/10.1029/2018JD029465
35. Exceptional wildfire smoke over Greece in summer 2023: a synergistic study of aerosol optical-microphysical and UVB radiative impacts M. Gidarakou et al. https://doi.org/10.5194/acp-26-4313-2026
36. SILAM and MACC reanalysis aerosol data used for simulating the aerosol direct radiative effect with the NWP model HARMONIE for summer 2010 wildfire case in Russia V. Toll et al. https://doi.org/10.1016/j.atmosenv.2015.06.007
37. Clear sky direct radiative effects of aerosols over Southeast Asia based on satellite observations and radiative transfer calculations N. Feng & S. Christopher https://doi.org/10.1016/j.rse.2014.07.006
38. Effects of near-source coagulation of biomass burning aerosols on global predictions of aerosol size distributions and implications for aerosol radiative effects E. Ramnarine et al. https://doi.org/10.5194/acp-19-6561-2019
39. An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals E. Hyer et al. https://doi.org/10.5194/amt-4-379-2011
40. Can the remote sensing of combustion phase improve estimates of landscape fire smoke emission rate and composition? F. Owsley-Brown et al. https://doi.org/10.5194/amt-17-6247-2024
41. Assessment of biomass burnings activity with the synergy of sunphotometric and LIDAR measurements in São Paulo, Brazil G. Mariano et al. https://doi.org/10.1016/j.atmosres.2010.08.025
42. Model Analysis of Origination of Semidirect Radiative Effect of Siberian Biomass Burning Aerosol in the Arctic I. Konovalov & N. Golovushkin https://doi.org/10.1134/S1024856024700477
43. Characterizing dynamic relationships between burning rate and pollutant emission rates in a forced-draft gasifier stove consuming biomass pellet fuels M. Deng et al. https://doi.org/10.1016/j.envpol.2019.113338
44. Comparison of chemical characteristics of 495 biomass burning plumes intercepted by the NASA DC-8 aircraft during the ARCTAS/CARB-2008 field campaign A. Hecobian et al. https://doi.org/10.5194/acp-11-13325-2011
45. Limitation of the Use of the Absorption Angstrom Exponent for Source Apportionment of Equivalent Black Carbon: a Case Study from the North West Indo-Gangetic Plain S. Garg et al. https://doi.org/10.1021/acs.est.5b03868
46. Effect of increased fire activity on global warming in the boreal forest F. Oris et al. https://doi.org/10.1139/er-2013-0062
47. Combined retrievals of boreal forest fire aerosol properties with a polarimeter and lidar K. Knobelspiesse et al. https://doi.org/10.5194/acp-11-7045-2011
48. Forest fire monitoring and burnt area mapping using satellite data: a study over the forest region of Kerala State, India K. Badarinath et al. https://doi.org/10.1080/01431160903439890
49. Investigating dominant characteristics of fires across the Amazon during 2005–2014 through satellite data synthesis of combustion signatures W. Tang & A. Arellano https://doi.org/10.1002/2016JD025216
50. Extending “Deep Blue” aerosol retrieval coverage to cases of absorbing aerosols above clouds: Sensitivity analysis and first case studies A. Sayer et al. https://doi.org/10.1002/2015JD024729
51. Downwelling solar irradiance in the biomass burning region of the southern Amazon: Dependence on aerosol intensive optical properties and role of water vapor N. Rosário et al. https://doi.org/10.1029/2011JD015956
52. Size distribution and chemical composition of primary particles emitted during open biomass burning processes: Impacts on cloud condensation nuclei activation L. Chen et al. https://doi.org/10.1016/j.scitotenv.2019.03.419
53. Submicron aerosols at thirteen diversified sites in China: size distribution, new particle formation and corresponding contribution to cloud condensation nuclei production J. Peng et al. https://doi.org/10.5194/acp-14-10249-2014
54. Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions X. Lu et al. https://doi.org/10.3390/rs13020196
55. Contiguous United States wildland fire emission estimates during 2003–2015 S. Urbanski et al. https://doi.org/10.5194/essd-10-2241-2018
56. Chemical aging of single and multicomponent biomass burning aerosol surrogate particles by OH: implications for cloud condensation nucleus activity J. Slade et al. https://doi.org/10.5194/acp-15-10183-2015
57. Laboratory measurements of smoke optical properties from the burning of Indonesian peat and other types of biomass D. Chand et al. https://doi.org/10.1029/2005GL022678
58. The relative role of Amazonian and non-Amazonian fires in building up the aerosol optical depth in South America: A five year study (2005–2009) F. Castro Videla et al. https://doi.org/10.1016/j.atmosres.2012.10.026
59. The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia I. Konovalov et al. https://doi.org/10.5194/acp-15-13269-2015
60. Satellite and ground-based remote sensing of aerosols during intense haze event of October 2013 over lahore, Pakistan S. Tariq et al. https://doi.org/10.1007/s13143-015-0084-3
61. Optical properties of aged Asian aerosols observed over the U.S. Pacific Northwest E. Fischer et al. https://doi.org/10.1029/2010JD013943
62. Physicochemical characterization of aged biomass burning aerosol after long-range transport to Greece from large scale wildfires in Russia and surrounding regions, Summer 2010 E. Diapouli et al. https://doi.org/10.1016/j.atmosenv.2014.07.055
63. Overview of aerosol optical properties over southern West Africa from DACCIWA aircraft measurements C. Denjean et al. https://doi.org/10.5194/acp-20-4735-2020
64. Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations O. Dubovik et al. https://doi.org/10.5194/amt-4-975-2011
65. A review of methods for long term in situ characterization of aerosol dust S. Rodríguez et al. https://doi.org/10.1016/j.aeolia.2012.07.004
66. Size distribution and chemical characteristics of particles from crop residue open burning in North China T. Li et al. https://doi.org/10.1016/j.jes.2021.02.019
67. Laboratory and field investigations of particulate and carbon monoxide emissions from traditional and improved cookstoves C. Roden et al. https://doi.org/10.1016/j.atmosenv.2008.05.041
68. Interactive coupling of a regional climate model and a chemical transport model: evaluation and preliminary results on ozone and aerosol feedback P. Huszar et al. https://doi.org/10.3354/cr01054
69. Multi year aerosol characterization in the tropical Andes and in adjacent Amazonia using AERONET measurements D. Pérez-Ramírez et al. https://doi.org/10.1016/j.atmosenv.2017.07.037
70. Characteristics and sources of carbonaceous aerosols from Shanghai, China J. Cao et al. https://doi.org/10.5194/acp-13-803-2013
71. Observations of smoke‐influenced aerosol during the Yosemite Aerosol Characterization Study: Size distributions and chemical composition G. McMeeking et al. https://doi.org/10.1029/2004JD005389
72. Truncation and Angular-Scattering Corrections for Absorbing Aerosol in the TSI 3563 Nephelometer T. Bond et al. https://doi.org/10.1080/02786820902998373
73. The role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observations J. Sun et al. https://doi.org/10.5194/amt-12-6319-2019
74. Synergetic technique combining elastic backscatter lidar data and sunphotometer AERONET inversion for retrieval by layer of aerosol optical and microphysical properties J. Cuesta et al. https://doi.org/10.1364/AO.47.004598
75. Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements P. Saide et al. https://doi.org/10.1029/2022GL099175
76. Discrimination of Biomass-Burning Smoke From Clouds Over the Ocean Using MODIS Measurements Q. Wang et al. https://doi.org/10.1109/TGRS.2021.3084042
77. Research on aerosol sources and chemical composition: Past, current and emerging issues A. Calvo et al. https://doi.org/10.1016/j.atmosres.2012.09.021
78. Secondary organic aerosol from biomass burning intermediates induced significant oxidative stress in human lung epithelial cells J. Feng et al. https://doi.org/10.1016/j.aeaoa.2025.100356
79. A shape model of internally mixed soot particles derived from artificial surface tension H. Ishimoto et al. https://doi.org/10.5194/amt-12-107-2019
80. Optical Properties of Secondary Organic Aerosols and Their Changes by Chemical Processes T. Moise et al. https://doi.org/10.1021/cr5005259
81. Separation of the optical and mass features of particle components in different aerosol mixtures by using POLIPHON retrievals in synergy with continuous polarized Micro-Pulse Lidar (P-MPL) measurements C. Córdoba-Jabonero et al. https://doi.org/10.5194/amt-11-4775-2018
82. Extreme Molecular Complexity Resulting in a Continuum of Carbonaceous Species in Biomass Burning Tar Balls from Wildfire Smoke M. Brege et al. https://doi.org/10.1021/acsearthspacechem.1c00141
83. Characterization of single scattering albedo and chemical components of aged toluene secondary organic aerosol Z. Feng et al. https://doi.org/10.1016/j.apr.2019.07.005
84. Advanced Monte Carlo methods for deriving optical properties of scattering media using cubic spline-parameterized phase functions L. Stolz et al. https://doi.org/10.1364/OE.550649
85. A regional climate model study of how biomass burning aerosol impacts land‐atmosphere interactions over the Amazon Y. Zhang et al. https://doi.org/10.1029/2007JD009449
86. Ultrafine Particles from Residential Biomass Combustion: A Review on Experimental Data and Toxicological Response E. Corsini et al. https://doi.org/10.3390/ijms20204992
87. Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program J. Reid et al. https://doi.org/10.1016/j.atmosres.2012.06.005
88. Biomass burning events measured by lidars in EARLINET – Part 1: Data analysis methodology M. Adam et al. https://doi.org/10.5194/acp-20-13905-2020
89. A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms G. Schuster et al. https://doi.org/10.3390/rs11050498
90. Particulate matter concentrations derived from airborne high spectral resolution lidar measurements using machine learning regression R. Ferrare et al. https://doi.org/10.5194/amt-18-7735-2025
91. Intensive optical parameters of pollution sources identified by the positive matrix factorization technique S. Romano et al. https://doi.org/10.1016/j.atmosres.2020.105029
92. Simulation of long-term direct aerosol radiative forcing over the arctic within the framework of the iAREA project K. Markowicz et al. https://doi.org/10.1016/j.atmosenv.2020.117882
93. Chemical composition and radiative properties of nascent particulate matter emitted by an aircraft turbofan burning conventional and alternative fuels M. Elser et al. https://doi.org/10.5194/acp-19-6809-2019
94. Biomass burning influences determination based on PM 2.5 chemical composition combined with fire counts at southeastern Tibetan Plateau during pre-monsoon period N. Zhang et al. https://doi.org/10.1016/j.atmosres.2018.02.018
95. Distinct aerosol populations and their vertical gradients in central Amazonia revealed by optical properties and cluster analysis R. Valiati et al. https://doi.org/10.5194/acp-25-14923-2025
96. A unified approach to infrared aerosol remote sensing and type specification L. Clarisse et al. https://doi.org/10.5194/acp-13-2195-2013
97. Space-based retrieval of NO2 over biomass burning regions: quantifying and reducing uncertainties N. Bousserez https://doi.org/10.5194/amt-7-3431-2014
98. Emission characteristics of size distribution, chemical composition and light absorption of particles from field-scale crop residue burning in Northeast China Q. Wang et al. https://doi.org/10.1016/j.scitotenv.2019.136304
99. Spring 2020 Atmospheric Aerosol Contamination over Kyiv City C. Zhang et al. https://doi.org/10.3390/atmos13050687
100. A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations T. Toth et al. https://doi.org/10.5194/amt-12-1739-2019
101. Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties H. Zhu et al. https://doi.org/10.5194/acp-23-5023-2023
102. Energetic description of the liquid–vapor interface of water with organic coating molecules J. Devémy et al. https://doi.org/10.1039/D4LF00037D
103. Effect of hygroscopic growth on the aerosol light-scattering coefficient: A review of measurements, techniques and error sources G. Titos et al. https://doi.org/10.1016/j.atmosenv.2016.07.021
104. Probing into the aging dynamics of biomass burning aerosol by using satellite measurements of aerosol optical depth and carbon monoxide I. Konovalov et al. https://doi.org/10.5194/acp-17-4513-2017
105. A system for operational aerosol optical depth data assimilation over global oceans J. Zhang et al. https://doi.org/10.1029/2007JD009065
106. Molecular Characterization of Biomass Burning Aerosols Using High-Resolution Mass Spectrometry J. Smith et al. https://doi.org/10.1021/ac8020664
107. Health impacts of biomass burning aerosols: Relation to oxidative stress and inflammation M. Pardo et al. https://doi.org/10.1080/02786826.2024.2379551
108. Particle emissions from laboratory combustion of wildland fuels: In situ optical and mass measurements L. Chen et al. https://doi.org/10.1029/2005GL024838
109. Contribution of Large-Scale Wildfires to Particulate Matter Concentrations in Agricultural Areas in South Korea T. Kim et al. https://doi.org/10.3390/fire9010049
110. Aerosol plume transport and transformation in high spectral resolution lidar measurements and WRF-Flexpart simulations during the MILAGRO Field Campaign B. de Foy et al. https://doi.org/10.5194/acp-11-3543-2011
111. Mixing state of biomass burning particles by single particle aerosol mass spectrometer in the urban area of PRD, China X. Bi et al. https://doi.org/10.1016/j.atmosenv.2011.03.034
112. Synthesis of information on aerosol optical properties H. Liu et al. https://doi.org/10.1029/2007JD008735
113. Characterization of intra-continental smoke transport and impact on New York State air quality using aerosol reanalysis and multi-platform observations C. Lin et al. https://doi.org/10.1016/j.apr.2021.01.021
114. Californian forest fire plumes over Southwestern British Columbia: lidar, sunphotometry, and mountaintop chemistry observations I. McKendry et al. https://doi.org/10.5194/acp-11-465-2011
115. Advancing the BRAMS wildfire–atmosphere modelling system: application to an extreme wildfire event I. Cunha Menezes et al. https://doi.org/10.5194/gmd-19-3801-2026
116. Optical and microphysical properties of fresh biomass burning aerosol retrieved by Raman lidar, and star-and sun-photometry L. Alados-Arboledas et al. https://doi.org/10.1029/2010GL045999
117. Satellite‐observed pollution from Southern Hemisphere biomass burning D. Edwards et al. https://doi.org/10.1029/2005JD006655
118. Primary PM2.5 and trace gas emissions from residential coal combustion: assessing semi-coke briquette for emission reduction in the Beijing-Tianjin-Hebei region, China J. Tian et al. https://doi.org/10.1016/j.atmosenv.2018.07.031
119. Impact of the 2009 Attica wild fires on the air quality in urban Athens V. Amiridis et al. https://doi.org/10.1016/j.atmosenv.2011.07.056
120. Optical, physical, and chemical properties of springtime aerosol over Barrow Alaska in 2008 N. Shantz et al. https://doi.org/10.1002/joc.3898
121. Biomass Burning Aerosols Observed in Northern Finland during the 2010 Wildfires in Russia T. Mielonen et al. https://doi.org/10.3390/atmos4010017
122. Physical and optical properties of aged biomass burning aerosol from wildfires in Siberia and the Western USA at the Mt. Bachelor Observatory J. Laing et al. https://doi.org/10.5194/acp-16-15185-2016
123. Validation of ceilometer aerosol profile retrievals using sun–sky photometer and balloon-borne in situ measurements J. Muñiz-Rosado et al. https://doi.org/10.5194/acp-26-10255-2026
124. Sulfate Radical-Initiated Aqueous Oxidation of Biomass Burning Tracers: A Potential Source of HULIS and aqSOA R. Chen et al. https://doi.org/10.1021/acs.est.5c14755
125. Mesoscale modeling of Central American smoke transport to the United States: 1. “Top‐down” assessment of emission strength and diurnal variation impacts J. Wang et al. https://doi.org/10.1029/2005JD006416
126. Characteristics of biomass burning aerosol and its impact on regional air quality in the summer of 2003 at Gwangju, Korea S. Ryu et al. https://doi.org/10.1016/j.atmosres.2006.09.007
127. Wildland fire emissions, carbon, and climate: Wildfire–climate interactions Y. Liu et al. https://doi.org/10.1016/j.foreco.2013.02.020
128. Linking the chemical composition and optical properties of biomass burning aerosols in Amazonia M. Ponczek et al. https://doi.org/10.1039/D1EA00055A
129. Dilution impacts on smoke aging: evidence in Biomass Burning Observation Project (BBOP) data A. Hodshire et al. https://doi.org/10.5194/acp-21-6839-2021
130. 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. https://doi.org/10.3390/atmos12121555
131. Aerosol particle properties at a remote tropical rainforest in Borneo N. Abdullah et al. https://doi.org/10.1016/j.apr.2022.101383
132. Biomass burning aerosols observed in Eastern Finland during the Russian wildfires in summer 2010 – Part 1: In-situ aerosol characterization H. Portin et al. https://doi.org/10.1016/j.atmosenv.2011.10.067
133. Influence of Ammonium Sulfate Seed Particle on Optics and Compositions of Toluene Derived Organic Aerosol in Photochemistry T. Lu et al. https://doi.org/10.3390/atmos11090961
134. Spatial distribution and seasonal variation of char-EC and soot-EC in the atmosphere over China Y. Han et al. https://doi.org/10.1016/j.atmosenv.2009.08.018
135. Reconstructing Fire Records from Ground-Based Routine Aerosol Monitoring H. Zhao et al. https://doi.org/10.3390/atmos7030043
136. An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences P. Lynch et al. https://doi.org/10.5194/gmd-9-1489-2016
137. Ship Emissions as the Largest Contributor to Coastal Atmospheric Black Carbon at a Receptor Island in Southern China X. Geng et al. https://doi.org/10.1021/acs.estlett.4c00362
138. Emission factors for open and domestic biomass burning for use in atmospheric models S. Akagi et al. https://doi.org/10.5194/acp-11-4039-2011
139. Biomass burning and urban emission impacts in the Andes Cordillera region based on in situ measurements from the Chacaltaya observatory, Bolivia (5240 m a.s.l.) A. Chauvigné et al. https://doi.org/10.5194/acp-19-14805-2019
140. Optical and Microphysical Properties of the Aerosols during a Rare Event of Biomass-Burning Mixed with Polluted Dust M. Gidarakou et al. https://doi.org/10.3390/atmos15020190
141. 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. https://doi.org/10.1016/j.scitotenv.2017.05.041
142. Quantifying black carbon light absorption enhancement with a novel statistical approach C. Wu et al. https://doi.org/10.5194/acp-18-289-2018
143. Optical and Microphysical Properties of Aged Biomass Burning Aerosols and Mixtures, Based on 9-Year Multiwavelength Raman Lidar Observations in Athens, Greece M. Mylonaki et al. https://doi.org/10.3390/rs13193877
144. Impact of biomass burning on aerosol properties over tropical wet evergreen forests of Arunachal Pradesh, India K. Badarinath et al. https://doi.org/10.1016/j.atmosres.2008.03.023
145. Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 2. Bias Correction With Satellite Data for Rural Areas H. Zhang et al. https://doi.org/10.1029/2021JD035563
146. Long-range transported North American wildfire aerosols observed in marine boundary layer of eastern North Atlantic G. Zheng et al. https://doi.org/10.1016/j.envint.2020.105680
147. Impacts of Amazonia biomass burning aerosols assessed from short-range weather forecasts S. Kolusu et al. https://doi.org/10.5194/acp-15-12251-2015
148. Biomass burning emission estimation in the MODIS era: State-of-the-art and future directions M. Parrington et al. https://doi.org/10.1525/elementa.2024.00089
149. Constraining the density and complex refractive index of elemental and organic carbon in biomass burning aerosol using optical and chemical measurements G. Schkolnik et al. https://doi.org/10.1016/j.atmosenv.2006.09.035
150. Laboratory investigation of fire radiative energy and smoke aerosol emissions C. Ichoku et al. https://doi.org/10.1029/2007JD009659
151. Size and mass distributions of ground-level sub-micrometer biomass burning aerosol from small wildfires R. Okoshi et al. https://doi.org/10.1016/j.atmosenv.2014.01.024
152. A methodology to retrieve self‐consistent aerosol optical properties using common aircraft measurements B. Magi et al. https://doi.org/10.1029/2006JD008312
153. CADS: A Circular-Adaptive Density Smoother for Two-Dimensional Probability Density Estimation of Seasonal Geophysical Data M. Meysami et al. https://doi.org/10.3390/math14101655
154. Emissions from the laboratory combustion of wildland fuels: Particle morphology and size R. Chakrabarty et al. https://doi.org/10.1029/2005JD006659
155. Constraining aerosol optical models using ground-based, collocated particle size and mass measurements in variable air mass regimes during the 7-SEAS/Dongsha experiment S. Bell et al. https://doi.org/10.1016/j.atmosenv.2012.06.057
156. Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data A. Sayer et al. https://doi.org/10.5194/amt-12-3595-2019
157. Different characteristics of char and soot in the atmosphere and their ratio as an indicator for source identification in Xi'an, China Y. Han et al. https://doi.org/10.5194/acp-10-595-2010
158. Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land A. Sayer et al. https://doi.org/10.1029/2018JD029598
159. Monitoring forest fires over the Indian region using Defense Meteorological Satellite Program-Operational Linescan System nighttime satellite data T. Kiran Chand et al. https://doi.org/10.1016/j.rse.2006.03.010
160. Nanoparticle emissions from 11 non-vehicle exhaust sources – A review P. Kumar et al. https://doi.org/10.1016/j.atmosenv.2012.11.011
161. Brown carbon and internal mixing in biomass burning particles D. Lack et al. https://doi.org/10.1073/pnas.1206575109
162. How the extreme 2019–2020 Australian wildfires affected global circulation and adjustments F. Senf et al. https://doi.org/10.5194/acp-23-8939-2023
163. Contrasting aerosol regimes and radiative forcing across the Andean–Amazonian transition: A seven-year analysis of biomass burning impacts C. Victoria-Barros et al. https://doi.org/10.1016/j.envint.2026.110340
164. Optical Properties of Biomass Burning Aerosols: Comparison of Experimental Measurements and T-Matrix Calculations S. Poudel et al. https://doi.org/10.3390/atmos8110228
165. Dynamic changes in optical and chemical properties of tar ball aerosols by atmospheric photochemical aging C. Li et al. https://doi.org/10.5194/acp-19-139-2019
166. Remote optical observation of biomass burning: A feasibility and experimental case study with the SIM.GA hyperspectral system A. Riccio et al. https://doi.org/10.1080/01431161.2010.508055
167. Particulate emissions from large North American wildfires estimated using a new top-down method T. Nikonovas et al. https://doi.org/10.5194/acp-17-6423-2017
168. Smoke absorption retrieval algorithm using critical reflectance method with geostationary satellite over North America R. Mishra et al. https://doi.org/10.1016/j.rse.2025.114837
169. Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign B. Johnson et al. https://doi.org/10.5194/acp-16-14657-2016
170. Assessment of vertically-resolved PM10 from mobile lidar observations J. Raut & P. Chazette https://doi.org/10.5194/acp-9-8617-2009
171. Characteristics of carbonaceous particles from residential coal combustion and agricultural biomass burning in China J. Tian et al. https://doi.org/10.1016/j.apr.2016.12.006
172. A novel framework for assessing regional wildfires contributions to biomass burning aerosol optical depth M. Broda et al. https://doi.org/10.5194/acp-25-14015-2025
173. In situ measurements of trace gases, PM, and aerosol optical properties during the 2017 NW US wildfire smoke event V. Selimovic et al. https://doi.org/10.5194/acp-19-3905-2019
174. Quantifying the Source Term and Uniqueness of the August 12, 2017 Pacific Northwest PyroCb Event M. Fromm et al. https://doi.org/10.1029/2021JD034928
175. Biomass burning impact on black carbon aerosol mass concentration at a coastal site: Case studies V. Ulevičius et al. https://doi.org/10.3952/lithjphys.50304
176. Air pollution from biomass burning in India S. Tripathi et al. https://doi.org/10.1088/1748-9326/ad4a90
177. Atmospheric Aerosols: Composition, Transformation, Climate and Health Effects U. Pöschl https://doi.org/10.1002/anie.200501122
178. Effect of smoke on subcanopy shaded light, canopy temperature, and carbon dioxide uptake in an Amazon rainforest C. Doughty et al. https://doi.org/10.1029/2009GB003670
179. Brown carbon in tar balls from smoldering biomass combustion R. Chakrabarty et al. https://doi.org/10.5194/acp-10-6363-2010
180. Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths I. Konovalov et al. https://doi.org/10.5194/acp-18-14889-2018
181. Perturbation of the European free troposphere aerosol by North American forest fire plumes during the ICARTT-ITOP experiment in summer 2004 A. Petzold et al. https://doi.org/10.5194/acp-7-5105-2007
182. Strong influence of black carbon on aerosol optical properties in central Amazonia during the fire season R. Stern et al. https://doi.org/10.5194/acp-25-9451-2025
183. A study on the variations of optical and physical properties of aerosols over a tropical semi-arid station during grassland fire K. Kumar et al. https://doi.org/10.1016/j.atmosres.2009.08.012
184. Rapidly evolving ultrafine and fine mode biomass smoke physical properties: Comparing laboratory and field results C. Carrico et al. https://doi.org/10.1002/2015JD024389
185. Radiative characteristics of aerosol during extreme fire event over Siberia in summer 2012 T. Zhuravleva et al. https://doi.org/10.5194/amt-10-179-2017
186. Assessing air pollution in a coastal urban setting: contributions of PM₁₀, vehicular emissions, and public health impacts D. Reshmy et al. https://doi.org/10.1007/s10874-025-09483-4
187. Prescribed burning of logging slash in the boreal forest of Finland: emissions and effects on meteorological quantities and soil properties A. Virkkula et al. https://doi.org/10.5194/acp-14-4473-2014
188. Biomass burning aerosol emissions from vegetation fires: particle number and mass emission factors and size distributions S. Janhäll et al. https://doi.org/10.5194/acp-10-1427-2010
189. Modeling the South American regional smoke plume: aerosol optical depth variability and surface shortwave flux perturbation N. Rosário et al. https://doi.org/10.5194/acp-13-2923-2013
190. Retrieval of Vertical Mass Concentration Distributions—Vipava Valley Case Study L. Wang et al. https://doi.org/10.3390/rs11020106
191. Investigating Smoke Aerosol Emission Coefficients Using MODIS Active Fire and Aerosol Products: A Case Study in the CONUS and Indonesia X. Lu et al. https://doi.org/10.1029/2018JG004974
192. Emission Measurements from Traditional Biomass Cookstoves in South Asia and Tibet C. Weyant et al. https://doi.org/10.1021/acs.est.8b05199
193. Relationship between Oxidation Level and Optical Properties of Secondary Organic Aerosol A. Lambe et al. https://doi.org/10.1021/es401043j
194. Inferring the absorption properties of organic aerosol in Siberian biomass burning plumes from remote optical observations I. Konovalov et al. https://doi.org/10.5194/amt-14-6647-2021
195. Variations in the characteristics and sources of PM2.5 during the COVID-19 lockdown in Xiangyang, Hubei Province, central China Y. Mao et al. https://doi.org/10.1016/j.apr.2025.102723
196. Biomass burning contribution to Beijing aerosol Y. Cheng et al. https://doi.org/10.5194/acp-13-7765-2013
197. Wildfire-driven thunderstorms cause a volcano-like stratospheric injection of smoke D. Peterson et al. https://doi.org/10.1038/s41612-018-0039-3
198. Black and brown carbon over central Amazonia: long-term aerosol measurements at the ATTO site J. Saturno et al. https://doi.org/10.5194/acp-18-12817-2018
199. ICON coupled to HAM-lite 1.0 in limited-area mode: an efficient framework for targeted kilometer-scale simulations with interactive aerosols B. Heinold et al. https://doi.org/10.5194/gmd-19-6167-2026
200. Mesoscale modeling of smoke transport over the Southeast Asian Maritime Continent: coupling of smoke direct radiative effect below and above the low-level clouds C. Ge et al. https://doi.org/10.5194/acp-14-159-2014
201. Derivation of the Density and Refractive Index of Organic Matter and Elemental Carbon from Closure between Physical and Chemical Aerosol Properties O. Schmid et al. https://doi.org/10.1021/es800570p
202. Evolution of PM2.5 from biomass high-temperature pyrolysis in an entrained flow reactor Y. Li et al. https://doi.org/10.1016/j.joei.2018.07.019
203. Morphology of Organic Carbon Coatings on Biomass-Burning Particles and Their Role in Reactive Gas Uptake L. Jahn et al. https://doi.org/10.1021/acsearthspacechem.1c00237
204. Aircraft measurements of biomass burning aerosol over West Africa during DABEX B. Johnson et al. https://doi.org/10.1029/2007JD009451
205. Reconciling Assumptions in Bottom‐Up and Top‐Down Approaches for Estimating Aerosol Emission Rates From Wildland Fires Using Observations From FIREX‐AQ E. Wiggins et al. https://doi.org/10.1029/2021JD035692
206. Optical exploration of biomass burning aerosols over a high-altitude station by combining ground-based and satellite data K. Vijayakumar & P. Devara https://doi.org/10.1016/j.jaerosci.2014.01.008
207. Investigating the links between ozone and organic aerosol chemistry in a biomass burning plume from a prescribed fire in California chaparral M. Alvarado et al. https://doi.org/10.5194/acp-15-6667-2015
208. Radiative effects of absorbing aerosols over northeastern India: Observations and model simulations M. Gogoi et al. https://doi.org/10.1002/2016JD025592
209. Aerosol mass scattering efficiencies and single scattering albedo under high mass loading in Chiang Mai valley, Thailand S. Pani et al. https://doi.org/10.1016/j.atmosenv.2023.119867
210. Rapid oxidation of phenolic compounds by O3 and HO●: effects of the air–water interface and mineral dust in tropospheric chemical processes Y. Huo et al. https://doi.org/10.5194/acp-24-12409-2024
211. Contribution of Fine Particles to Air Emission at Different Phases of Biomass Burning N. Ordou & I. Agranovski https://doi.org/10.3390/atmos10050278
212. Size and chemical characteristics of particles emitted from typical rural biomass cookstoves in North China T. Li et al. https://doi.org/10.1016/j.atmosres.2020.105295
213. Air Quality Forecast Verification Using Satellite Data S. Kondragunta et al. https://doi.org/10.1175/2007JAMC1392.1
214. Formation of ozone and growth of aerosols in young smoke plumes from biomass burning: 1. Lagrangian parcel studies M. Alvarado & R. Prinn https://doi.org/10.1029/2008JD011144
215. A method to dynamically constrain black carbon aerosol sources with online monitored potassium H. Zheng et al. https://doi.org/10.1038/s41612-021-00200-y
216. Abundance of Light‐Absorbing Anthropogenic Iron Oxide Aerosols in the Urban Atmosphere and Their Emission Sources S. Ohata et al. https://doi.org/10.1029/2018JD028363
217. Optical properties of boreal region biomass burning aerosols in central Alaska and seasonal variation of aerosol optical depth at an Arctic coastal site T. Eck et al. https://doi.org/10.1029/2008JD010870
218. Thermochemical Properties of PM2.5 as Indicator of Combustion Phase of Fires Y. Hsieh et al. https://doi.org/10.3390/atmos9060230
219. First results from light scattering enhancement factor over central Indian Himalayas during GVAX campaign U. Dumka et al. https://doi.org/10.1016/j.scitotenv.2017.06.138
220. Contributions of different organic compounds to brown carbon light absorption in a river-valley region, China Y. Li et al. https://doi.org/10.1016/j.atmosenv.2024.120731
221. Assessment of smoke shortwave radiative forcing using empirical angular distribution models F. Patadia & S. Christopher https://doi.org/10.1016/j.rse.2013.08.034
222. Particulate matter and black carbon optical properties and emission factors from prescribed fires in the southeastern United States A. Holder et al. https://doi.org/10.1002/2015JD024321
223. Aerosol–radiation–cloud interactions in a regional coupled model: the effects of convective parameterisation and resolution S. Archer-Nicholls et al. https://doi.org/10.5194/acp-16-5573-2016
224. Impacts of oxidizer concentration and fuel composition on near-source aerosol emissions from lignocellulosic biomass and constituent burning L. McLaughlin & E. Belmont https://doi.org/10.1016/j.jaerosci.2021.105825
225. Accounting for NOx emissions from biomass burning and urbanization doubles existing inventories over South, Southeast and East Asia J. Liu et al. https://doi.org/10.1038/s43247-024-01424-5
226. More Than Emissions and Chemistry: Fire Size, Dilution, and Background Aerosol Also Greatly Influence Near‐Field Biomass Burning Aerosol Aging A. Hodshire et al. https://doi.org/10.1029/2018JD029674
227. Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al. https://doi.org/10.1364/OE.496794
228. Estimating smoke emissions over the US Southern Great Plains using MODIS fire radiative power and aerosol observations N. Jordan et al. https://doi.org/10.1016/j.atmosenv.2007.12.023
229. Identification and validation of marker compounds for fine particle emitted from sub-type biomass burning J. Cao et al. https://doi.org/10.1038/s41612-025-01309-0
230. Observations of smoke‐influenced aerosol during the Yosemite Aerosol Characterization Study: 2. Aerosol scattering and absorbing properties G. McMeeking et al. https://doi.org/10.1029/2004JD005624
231. Investigation on the hygroscopicity of oxalic acid and atmospherically relevant oxalate salts under sub- and supersaturated conditions S. Boreddy & K. Kawamura https://doi.org/10.1039/C8EM00053K
232. Important role of stratospheric injection height for the distribution and radiative forcing of smoke aerosol from the 2019–2020 Australian wildfires B. Heinold et al. https://doi.org/10.5194/acp-22-9969-2022
233. Tracing biomass burning aerosol from South America to Troll Research Station, Antarctica M. Fiebig et al. https://doi.org/10.1029/2009GL038531
234. Vertical profiles of pure dust and mixed smoke–dust plumes inferred from inversion of multiwavelength Raman/polarization lidar data and comparison to AERONET retrievals and in situ observations D. Müller et al. https://doi.org/10.1364/AO.52.003178
235. Observed evidence of the growing contributions to aerosol pollution of wildfires with diverse spatiotemporal distinctions in China Y. Chen et al. https://doi.org/10.1016/j.jclepro.2021.126860
236. Temporal and Spatial Patterns of Biomass Burning Fire Counts and Carbon Emissions in the Beijing–Tianjin–Hebei (BTH) Region during 2003–2020 Based on GFED4 Y. Zhao et al. https://doi.org/10.3390/atmos13030459
237. Biomass burning aerosols observed in Eastern Finland during the Russian wildfires in summer 2010 – Part 2: Remote sensing T. Mielonen et al. https://doi.org/10.1016/j.atmosenv.2011.07.016
238. Evaluation and comparison of MODIS aerosol optical depth retrieval algorithms over Brazil A. Rudke et al. https://doi.org/10.1016/j.atmosenv.2023.120130
239. Attribution and evolution of ozone from Asian wild fires using satellite and aircraft measurements during the ARCTAS campaign R. Dupont et al. https://doi.org/10.5194/acp-12-169-2012
240. Impacts of carbonaceous aerosols from summer crop residue burning on air quality, radiation and meteorology over east China Y. Zheng et al. https://doi.org/10.1007/s00704-026-06458-7
241. Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles S. China et al. https://doi.org/10.1038/ncomms3122
242. Characterization of forest fire smoke event near Washington, DC in summer 2013 with multi-wavelength lidar I. Veselovskii et al. https://doi.org/10.5194/acp-15-1647-2015
243. Biomass burning in Indo-China peninsula and its impacts on regional air quality and global climate change-a review I. Yadav et al. https://doi.org/10.1016/j.envpol.2017.04.085
244. Real-time chemical characterization of primary and aged biomass burning aerosols derived from sub-Saharan African biomass fuels in smoldering fires M. James et al. https://doi.org/10.1039/D4EA00110A
245. Continuous 1064/532 nm Lidar Measurements (CORALNet-UBC) in Vancouver, British Columbia: Selected Results from a Year of Operation I. McKendry et al. https://doi.org/10.1080/07055900.2011.557799
246. Examination of laboratory‐generated coated soot particles: An overview of the LACIS Experiment in November (LExNo) campaign F. Stratmann et al. https://doi.org/10.1029/2009JD012628
247. Influence of cloud, fog, and high relative humidity during pollution transport events in South Korea: Aerosol properties and PM2.5 variability T. Eck et al. https://doi.org/10.1016/j.atmosenv.2020.117530
248. Characteristics and major sources of carbonaceous aerosols in PM 2.5 from Sanya, China J. Wang et al. https://doi.org/10.1016/j.scitotenv.2015.05.005
249. An overview of regional experiments on biomass burning aerosols and related pollutants in Southeast Asia: From BASE-ASIA and the Dongsha Experiment to 7-SEAS N. Lin et al. https://doi.org/10.1016/j.atmosenv.2013.04.066
250. Flight-based chemical characterization of biomass burning aerosols within two prescribed burn smoke plumes K. Pratt et al. https://doi.org/10.5194/acp-11-12549-2011
251. Transport and evolution of the 2009 Australian Black Saturday bushfire smoke in the lower stratosphere observed by OSIRIS on Odin J. Siddaway & S. Petelina https://doi.org/10.1029/2010JD015162
252. The regional impact of urban emissions on climate over central Europe: present and future emission perspectives P. Huszár et al. https://doi.org/10.5194/acp-16-12993-2016
253. Direct In Situ Mass Specific Absorption Spectra of Biomass Burning Particles Generated from Smoldering Hard and Softwoods J. Radney et al. https://doi.org/10.1021/acs.est.7b00810
254. Optical properties of humic-like substances (HULIS) in biomass-burning aerosols A. Hoffer et al. https://doi.org/10.5194/acp-6-3563-2006
255. A comprehensive assessment of emissions from prescribed fires in two Mediterranean shrublands: chemical and morphological analysis C. Blanco-Alegre et al. https://doi.org/10.5194/acp-26-11695-2026
256. Machine learning-driven characterization and prescription of aerosol optical properties for atmospheric models N. do Rosário et al. https://doi.org/10.5194/gmd-19-2691-2026
257. Comparison and evaluation of MODIS Multi-angle Implementation of Atmospheric Correction (MAIAC) aerosol product over South Asia A. Mhawish et al. https://doi.org/10.1016/j.rse.2019.01.033
258. Microscopic Observations of Core‐Shell Particle Structure and Implications for Atmospheric Aerosol Remote Sensing F. Unga et al. https://doi.org/10.1029/2018JD028602
259. Atmosphärische Aerosole: Zusammensetzung, Transformation, Klima‐ und Gesundheitseffekte U. Pöschl https://doi.org/10.1002/ange.200501122
260. AERONET-based models of smoke-dominated aerosol near source regions and transported over oceans, and implications for satellite retrievals of aerosol optical depth A. Sayer et al. https://doi.org/10.5194/acp-14-11493-2014
261. African biomass burning plumes over the Atlantic: aircraft based measurements and implications for H2SO4 and HNO3 mediated smoke particle activation V. Fiedler et al. https://doi.org/10.5194/acp-11-3211-2011
262. Global Aerosol Classification Based on Aerosol Robotic Network (AERONET) and Satellite Observation J. Lin et al. https://doi.org/10.3390/rs13061114
263. Satellite‐Observed Impacts of Wildfires on Regional Atmosphere Composition and the Shortwave Radiative Forcing: A Multiple Case Study Y. Fu et al. https://doi.org/10.1029/2017JD027927
264. Optical and physical properties of aerosols during active fire events occurring in the Indo-Gangetic Plains: Implications for aerosol radiative forcing S. Ningombam et al. https://doi.org/10.1016/j.atmosenv.2019.117225
265. Black carbon in major global source areas from 2000 to 2023: Spatiotemporal variation, vertical distribution, and extreme case analysis Y. Zhang et al. https://doi.org/10.1016/j.envpol.2025.125929
266. Dissipating the correlation smokescreen: causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic E. Fons et al. https://doi.org/10.1017/eds.2026.10049
267. Single particle size and fluorescence spectra from emissions of burning materials in a tube furnace to simulate burn pits Y. Pan et al. https://doi.org/10.1007/s00340-013-5402-9
268. Evolution of trace gases and particles emitted by a chaparral fire in California S. Akagi et al. https://doi.org/10.5194/acp-12-1397-2012
269. Formation of ozone and growth of aerosols in young smoke plumes from biomass burning: 2. Three‐dimensional Eulerian studies M. Alvarado et al. https://doi.org/10.1029/2008JD011186
270. Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations P. Ortiz-Amezcua et al. https://doi.org/10.5194/acp-17-5931-2017
271. Radiative impact of an extreme Arctic biomass-burning event J. Lisok et al. https://doi.org/10.5194/acp-18-8829-2018
272. Ground-based remote sensing of an elevated forest fire aerosol layer at Whistler, BC: implications for interpretation of mountaintop chemistry I. McKendry et al. https://doi.org/10.5194/acp-10-11921-2010
273. Regional haze formation enhanced the atmospheric pollution levels in the Yangtze River Delta region, China: Implications for anthropogenic sources and secondary aerosol formation M. Haque et al. https://doi.org/10.1016/j.scitotenv.2020.138013
274. Aerosol optical properties at the Lulin Atmospheric Background Station in Taiwan and the influences of long-range transport of air pollutants T. Hsiao et al. https://doi.org/10.1016/j.atmosenv.2016.11.031
275. Chemical composition and light absorption of carbonaceous aerosols emitted from crop residue burning: influence of combustion efficiency Y. Wang et al. https://doi.org/10.5194/acp-20-13721-2020
276. Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19 H. Zheng et al. https://doi.org/10.1016/j.scitotenv.2020.140000
277. The impact of infield biomass burning on PM levels and its chemical composition P. Dambruoso et al. https://doi.org/10.1007/s11356-013-2384-4
278. Mass concentration estimates of long-range-transported Canadian biomass burning aerosols from a multi-wavelength Raman polarization lidar and a ceilometer in Finland X. Shang et al. https://doi.org/10.5194/amt-14-6159-2021
279. Aerosol light absorption from optical measurements of PTFE membrane filter samples: sensitivity analysis of optical depth measures A. Pandey et al. https://doi.org/10.5194/amt-12-1365-2019
280. The Effects of Local Pollution and Transport Dust on Aerosol Properties in Typical Arid Regions of Central Asia during DAO-K Measurement Y. Wei et al. https://doi.org/10.3390/atmos13050729
281. Biomass burning CO, PM and fuel consumption per unit burned area estimates derived across Africa using geostationary SEVIRI fire radiative power and Sentinel-5P CO data H. Nguyen et al. https://doi.org/10.5194/acp-23-2089-2023
282. Moisture effects on carbon and nitrogen emission from burning of wildland biomass L. Chen et al. https://doi.org/10.5194/acp-10-6617-2010
283. Multi-pollutant emissions from the burning of major agricultural residues in China and the related health-economic effects C. Li et al. https://doi.org/10.5194/acp-17-4957-2017
284. Photopolarimetric Sensitivity to Black Carbon Content of Wildfire Smoke: Results From the 2016 ImPACT‐PM Field Campaign O. Kalashnikova et al. https://doi.org/10.1029/2017JD028032
285. Improved estimation of fire particulate emissions using a combination of VIIRS and AHI data for Indonesia during 2015–2020 X. Lu et al. https://doi.org/10.1016/j.rse.2022.113238
286. Dynamics of Microphysical Parameters of Pyrolysis Smoke Based on the Results of Inversion of Aerosol Scattering and Extinction Coefficients in the Big Aerosol Chamber of IAO SB RAS V. Veretennikov et al. https://doi.org/10.1134/S1024856024700416
287. Reproductive Function of Male Rats and Motor Activity of Their Offspring in Fire Emissions Modeling L. Sosedova et al. https://doi.org/10.1007/s10517-022-05416-3
288. Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada S. Urbanski et al. https://doi.org/10.1016/j.aeaoa.2022.100188
289. Nepal Ambient Monitoring and Source Testing Experiment (NAMaSTE): emissions of trace gases and light-absorbing carbon from wood and dung cooking fires, garbage and crop residue burning, brick kilns, and other sources C. Stockwell et al. https://doi.org/10.5194/acp-16-11043-2016
290. Studying the impact of biomass burning aerosol radiative and climate effects on the Amazon rainforest productivity with an Earth system model F. Malavelle et al. https://doi.org/10.5194/acp-19-1301-2019
291. Comprehensive Molecular Characterization of Atmospheric Brown Carbon by High Resolution Mass Spectrometry with Electrospray and Atmospheric Pressure Photoionization P. Lin et al. https://doi.org/10.1021/acs.analchem.8b02177
292. Assessment of NAAPS-RA performance in Maritime Southeast Asia during CAMP2Ex E. Edwards et al. https://doi.org/10.5194/acp-22-12961-2022
293. Retrievals of smoke particle properties using AirMSPI measurements acquired during FIREX-AQ field campaign B. Chen et al. https://doi.org/10.1016/j.atmosenv.2026.121960
294. A quadcopter unmanned aerial system (UAS)-based methodology for measuring biomass burning emission factors R. Vernooij et al. https://doi.org/10.5194/amt-15-4271-2022
295. A critical examination of spatial biases between MODIS and MISR aerosol products – application for potential AERONET deployment Y. Shi et al. https://doi.org/10.5194/amt-4-2823-2011
296. Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations H. Kim et al. https://doi.org/10.5194/acp-20-10259-2020
297. Aerosol pollution and its impact on regional climate during Holi festival inferred from ground-based and satellite remote sensing observations C. Simha et al. https://doi.org/10.1007/s11069-013-0743-6
298. The variability of biomass burning and its influence on regional aerosol properties during the wheat harvest season in North China L. Wang et al. https://doi.org/10.1016/j.atmosres.2015.01.009
299. Emissions from the Open Laboratory Combustion of Cheatgrass (Bromus Tectorum) M. Rennie et al. https://doi.org/10.3390/atmos11040406
300. Spectrally dependent linear depolarization and lidar ratios for nonspherical smoke aerosols L. Liu & M. Mishchenko https://doi.org/10.1016/j.jqsrt.2020.106953
301. A Global, Multidecadal Carbon Monoxide (CO) Record from the Sounder AIRS/CrIS System T. Wang et al. https://doi.org/10.3390/rs18010005
302. Low hygroscopicity of ambient fresh carbonaceous aerosols from pyrotechnics smoke C. Carrico et al. https://doi.org/10.1016/j.atmosenv.2018.01.024
303. Climatological aspects of the optical properties of fine/coarse mode aerosol mixtures T. Eck et al. https://doi.org/10.1029/2010JD014002
304. Optical characteristics of biomass burning aerosols over Southeastern Europe determined from UV-Raman lidar measurements V. Amiridis et al. https://doi.org/10.5194/acp-9-2431-2009
305. Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. https://doi.org/10.5194/acp-14-317-2014
306. Measurement‐based estimates of direct radiative effects of absorbing aerosols above clouds N. Feng & S. Christopher https://doi.org/10.1002/2015JD023252
307. Impact of the summer 2004 Alaska fires on top of the atmosphere clear‐sky radiation fluxes G. Pfister et al. https://doi.org/10.1029/2007JD008797
308. Estimation of Emission Flux of Particulate Matter by Agricultural Burning in Rural Areas using Scanning LIDAR G. Kim et al. https://doi.org/10.5572/KOSAE.2022.38.3.414
309. Atmospheric Reactivity of Methoxyphenols: A Review C. Liu et al. https://doi.org/10.1021/acs.est.1c06535
310. Processes influencing ozone levels in Alaskan forest fire plumes during long‐range transport over the North Atlantic E. Real et al. https://doi.org/10.1029/2006JD007576
311. Determining relationships and mechanisms between tropospheric ozone column concentrations and tropical biomass burning in Thailand and its surrounding regions T. Sonkaew & R. Macatangay https://doi.org/10.1088/1748-9326/10/6/065009
312. Tropical biomass burning smoke plume size, shape, reflectance, and age based on 2001–2009 MISR imagery of Borneo C. Zender et al. https://doi.org/10.5194/acp-12-3437-2012
313. Characterization and Health Risk of PM2.5 Exposure in South Tangerang, Indonesia R. Wijiyanti et al. https://doi.org/10.1021/acsearthspacechem.4c00399
314. Humidification factors from laboratory studies of fresh smoke from biomass fuels D. Day et al. https://doi.org/10.1029/2006JD007221
315. An Exploratory Approach Using Regression and Machine Learning in the Analysis of Mass Absorption Cross Section of Black Carbon Aerosols: Model Development and Evaluation H. Li & A. May https://doi.org/10.3390/atmos11111185
316. A comprehensive exploration of characteristics and source attribution of carbonaceous aerosols in PM2.5 in an East China megacity L. Duan et al. https://doi.org/10.1016/j.envpol.2023.123239
317. Land Use Change Impacts on Air Quality and Climate C. Heald & D. Spracklen https://doi.org/10.1021/cr500446g
318. Understanding population exposure to size-segregated aerosol and associated trace elements during residential cooking in northeastern India: Implications for disease burden and health risk B. Sharma et al. https://doi.org/10.1016/j.scitotenv.2023.162539
319. Effects of crop residue burning on aerosol properties, plume characteristics, and long‐range transport over northern India D. Kaskaoutis et al. https://doi.org/10.1002/2013JD021357
320. Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements C. Ichoku & L. Ellison https://doi.org/10.5194/acp-14-6643-2014
321. Satellite and Radar Remote Sensing of Southern Plains Grass Fires: A Case Study T. Jones & S. Christopher https://doi.org/10.1175/2010JAMC2472.1
322. Swelling of transported smoke from savanna fires over the Southeast Atlantic Ocean J. Kar et al. https://doi.org/10.1016/j.rse.2018.03.043
323. Anthropogenic and forest fire pollution aerosol transported to the Arctic: observations from the POLARCAT-France spring campaign B. Quennehen et al. https://doi.org/10.5194/acp-12-6437-2012
324. Optical closure experiments for biomass smoke aerosols L. Mack et al. https://doi.org/10.5194/acp-10-9017-2010
325. Stratospheric impact of the Chisholm pyrocumulonimbus eruption: 1. Earth‐viewing satellite perspective M. Fromm et al. https://doi.org/10.1029/2007JD009153
326. A review of biomass burning: Emissions and impacts on air quality, health and climate in China J. Chen et al. https://doi.org/10.1016/j.scitotenv.2016.11.025
327. The Impact of Smoke on the Ultraviolet and Visible Radiative Forcing Under Different Fire Regimes Y. Park et al. https://doi.org/10.1177/1178622118774803
328. A machine-learning approach for identifying dense-fires and assessing atmospheric emissions on the Indochina Peninsula, 2010–2020 Y. Zhong et al. https://doi.org/10.1016/j.atmosres.2022.106325
329. Relationship between temporal anomalies in PM2.5 concentrations and reported influenza/influenza-like illness activity T. DeFelice https://doi.org/10.1016/j.heliyon.2020.e04726
330. Sensitivity of tropospheric loads and lifetimes of short lived pollutants to fire emissions N. Daskalakis et al. https://doi.org/10.5194/acp-15-3543-2015
331. Global Monitoring and Forecasting of Biomass-Burning Smoke: Description of and Lessons From the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program J. Reid et al. https://doi.org/10.1109/JSTARS.2009.2027443
332. Heterogeneous Reactions of Particulate Methoxyphenols with NO3 Radicals: Kinetics, Products, and Mechanisms C. Liu et al. https://doi.org/10.1021/es303889z
333. Optical Goniometer Paired with Digital Monte Carlo Twin to Determine the Optical Properties of Turbid Media L. Stolz et al. https://doi.org/10.3390/s24113525
334. Experimental characterization and luminance simulation of light propagation in smoke-filled environments J. Quintana Benito et al. https://doi.org/10.1016/j.rineng.2026.111694
335. Airborne measurements and emission estimates of greenhouse gases and other trace constituents from the 2013 California Yosemite Rim wildfire E. Yates et al. https://doi.org/10.1016/j.atmosenv.2015.12.038
336. Retrievals of aerosol single scattering albedo by multiwavelength lidar measurements: Evaluations with NASA Langley HSRL-2 during discover-AQ field campaigns D. Pérez-Ramírez et al. https://doi.org/10.1016/j.rse.2018.12.022
337. Do Regional Aerosols Contribute to the Riverine Export of Dissolved Black Carbon? M. Jones et al. https://doi.org/10.1002/2017JG004126
338. Characterization of Wildfire‐Induced Aerosol Emissions From the Maritime Continent Peatland and Central African Dry Savannah with MISR and CALIPSO Aerosol Products H. Lee et al. https://doi.org/10.1002/2017JD027415
339. An approach to estimate global biomass burning emissions of organic and black carbon from MODIS fire radiative power E. Vermote et al. https://doi.org/10.1029/2008JD011188
340. On the vertical distribution of smoke in the Amazonian atmosphere during the dry season F. Marenco et al. https://doi.org/10.5194/acp-16-2155-2016
341. Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model B. Magi et al. https://doi.org/10.1029/2008JD011128
342. Remote sensing of soot carbon – Part 1: Distinguishing different absorbing aerosol species G. Schuster et al. https://doi.org/10.5194/acp-16-1565-2016
343. Retrievals of fine mode light-absorbing carbonaceous aerosols from POLDER/PARASOL observations over East and South Asia L. Li et al. https://doi.org/10.1016/j.rse.2020.111913
344. Synthetic advanced baseline imager true-color imagery D. Hillger https://doi.org/10.1117/1.3576112
345. Refractive Indices of Biomass Burning Aerosols Obtained from African Biomass Fuels Using RDG Approximation E. Sarpong et al. https://doi.org/10.3390/atmos11010062
346. Fire environment effects on particulate matter emission factors in southeastern U.S. pine-grasslands K. Robertson et al. https://doi.org/10.1016/j.atmosenv.2014.09.058
347. Long term measurements of aerosol optical properties at a primary forest site in Amazonia L. Rizzo et al. https://doi.org/10.5194/acp-13-2391-2013
348. Case study of modeled aerosol optical properties during the SAFARI 2000 campaign M. Kuzmanoski et al. https://doi.org/10.1364/AO.46.005263
349. Modelling the optical properties of fresh biomass burning aerosol produced in a smoke chamber: results from the EFEU campaign K. Hungershoefer et al. https://doi.org/10.5194/acp-8-3427-2008
350. Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks Y. Tong et al. https://doi.org/10.3390/rs14030626
351. The direct radiative effect of wildfire smoke on a severe thunderstorm event in the Baltic Sea region V. Toll & A. Männik https://doi.org/10.1016/j.atmosres.2014.11.018
352. Impact of Smoke Plumes Transport on Air Quality in Sydney during Extensive Bushfires (2019) in New South Wales, Australia Using Remote Sensing and Ground Data A. Attiya & B. Jones https://doi.org/10.3390/rs14215552
353. Characterization and sources of carbonaceous aerosols in southwest plateau of China: Effects of biomass burning and low oxygen concentration J. Shi et al. https://doi.org/10.1016/j.atmosenv.2023.120250
354. Using aircraft measurements to estimate the magnitude and uncertainty of the shortwave direct radiative forcing of southern African biomass burning aerosol B. Magi et al. https://doi.org/10.1029/2007JD009258
355. Optical and physical properties of aerosols in the boundary layer and free troposphere over the Amazon Basin during the biomass burning season D. Chand et al. https://doi.org/10.5194/acp-6-2911-2006
356. 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. https://doi.org/10.1016/j.envint.2020.106097
357. Parameterizations of size distribution and refractive index of biomass burning organic aerosol with black carbon content B. Luo et al. https://doi.org/10.5194/acp-22-12401-2022
358. Interactions between biomass-burning aerosols and clouds over Southeast Asia: Current status, challenges, and perspectives N. Lin et al. https://doi.org/10.1016/j.envpol.2014.06.036
359. Simulation of the transport, vertical distribution, optical properties and radiative impact of smoke aerosols with the ALADIN regional climate model during the ORACLES-2016 and LASIC experiments M. Mallet et al. https://doi.org/10.5194/acp-19-4963-2019
360. Tropical peat fire emissions: 2019 field measurements in Sumatra and Borneo and synthesis with previous studies R. Yokelson et al. https://doi.org/10.5194/acp-22-10173-2022
361. Mesoscale modeling of Central American smoke transport to the United States: 2. Smoke radiative impact on regional surface energy budget and boundary layer evolution J. Wang & S. Christopher https://doi.org/10.1029/2005JD006720
362. Impacts of nonrefractory material on light absorption by aerosols emitted from biomass burning G. McMeeking et al. https://doi.org/10.1002/2014JD021750
363. The Influence of Wildfires on Aerosol Size Distributions in Rural Areas E. Alonso-Blanco et al. https://doi.org/10.1100/2012/735697
364. Aerosol modelling for regional climate studies: application to anthropogenic particles and evaluation over a European/African domain F. Solmon et al. https://doi.org/10.1111/j.1600-0889.2005.00155.x
365. Spatial and temporal variability of open biomass burning in Northeast China from 2003 to 2017 L. WANG et al. https://doi.org/10.1080/16742834.2020.1742574
366. Simulation of aerosol radiative effects over West Africa during DABEX and AMMA SOP-0 F. Malavelle et al. https://doi.org/10.1029/2010JD014829
367. Satellite contributions to the quantitative characterization of biomass burning for climate modeling C. Ichoku et al. https://doi.org/10.1016/j.atmosres.2012.03.007
368. Water-insoluble carbonaceous components in rainwater over an urban background location in Northern India during pre-monsoon and monsoon seasons S. Sonwani & P. Saxena https://doi.org/10.1007/s11356-021-14132-w
369. Particulate and Gas Emissions from Wildfires in the Southern Amazon, from 2020 to 2022, from GOES-16 Fire Radiative Power Retrievals T. da Nobrega & A. Correia https://doi.org/10.1021/acsestair.4c00209
370. A study of the physical, chemical, and optical properties of ambient aerosol particles in Southeast Asia during hazy and nonhazy days S. See et al. https://doi.org/10.1029/2005JD006180
371. Error Analysis and Uncertainty in the Determination of Aerosol Optical Properties Using Cavity Ring-Down Spectroscopy, Integrating Nephelometry, and the Extinction-Minus-Scattering Method S. Singh et al. https://doi.org/10.1080/02786826.2014.984062
372. Effects of agriculture crop residue burning on aerosol properties and long-range transport over northern India: A study using satellite data and model simulations K. Vijayakumar et al. https://doi.org/10.1016/j.atmosres.2016.04.003
373. Constraining CO2 emissions from open biomass burning by satellite observations of co-emitted species: a method and its application to wildfires in Siberia I. Konovalov et al. https://doi.org/10.5194/acp-14-10383-2014