787 citations as recorded by crossref.

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3. Source apportionment of PM2.5 in Montréal, Canada, and health risk assessment for potentially toxic elements N. Fakhri et al. 10.5194/acp-24-1193-2024
4. Recognizing Women Leaders in Fire Science: Revisited A. Smith & E. Strand 10.3390/fire1030045
5. How the extreme 2019–2020 Australian wildfires affected global circulation and adjustments F. Senf et al. 10.5194/acp-23-8939-2023
6. Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States Y. Li et al. 10.1029/2021GL094908
7. Spatial Predictive Modeling of the Burning of Sugarcane Plots in Northeast Thailand with Selection of Factor Sets Using a GWR Model and Machine Learning Based on an ANN-CA P. Littidej et al. 10.3390/sym14101989
8. Optical properties of biomass burning aerosol during the 2021 Oregon fire season: comparison between wild and prescribed fires A. Marsavin et al. 10.1039/D2EA00118G
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10. Impact of wildfires on particulate matter in the Euro-Mediterranean in 2007: sensitivity to some parameterizations of emissions in air quality models M. Majdi et al. 10.5194/acp-19-785-2019
11. Optical and physical characteristics of aerosols over Asia: AERONET, MERRA-2 and CAMS K. Ansari & S. Ramachandran 10.1016/j.atmosenv.2024.120470
12. An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
13. Signature of tropical fires in the diurnal cycle of tropospheric CO as seen from Metop-A/IASI T. Thonat et al. 10.5194/acp-15-13041-2015
14. Assessment of biomass-burning types and transport over Thailand and the associated health risks P. Punsompong et al. 10.1016/j.atmosenv.2020.118176
15. APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region S. Turquety et al. 10.5194/gmd-7-587-2014
16. Long-range atmospheric transport of PAHs, PCBs and PBDEs to the central and eastern Mediterranean and changes of PCB and PBDE congener patterns in summer 2010 M. Mulder et al. 10.1016/j.atmosenv.2015.03.044
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18. A global 3-D CTM evaluation of black carbon in the Tibetan Plateau C. He et al. 10.5194/acp-14-7091-2014
19. 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. 10.1016/j.atmosenv.2015.06.007
20. INFERNO: a fire and emissions scheme for the UK Met Office's Unified Model S. Mangeon et al. 10.5194/gmd-9-2685-2016
21. Crop residue burning practices across north India inferred from household survey data: Bridging gaps in satellite observations T. Liu et al. 10.1016/j.aeaoa.2020.100091
22. Insight into ozone profile climatology over northeast China from aircraft measurement and numerical simulation H. Wang et al. 10.1016/j.scitotenv.2021.147308
23. What caused a record high PM<sub>10</sub> episode in northern Europe in October 2020? C. Groot Zwaaftink et al. 10.5194/acp-22-3789-2022
24. Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2 K. Klingmüller & J. Lelieveld 10.5194/gmd-16-3013-2023
25. Assessment of surface ozone products from downscaled CAMS reanalysis and CAMS daily forecast using urban air quality monitoring stations in Iran N. Kaffashzadeh & A. Aliakbari Bidokhti 10.5194/gmd-17-4155-2024
26. Relative effects of open biomass burning and open crop straw burning on haze formation over central and eastern China: modeling study driven by constrained emissions K. Mehmood et al. 10.5194/acp-20-2419-2020
27. Persistent Hot Spot Detection and Characterisation Using SLSTR A. Caseiro et al. 10.3390/rs10071118
28. Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover M. Adam et al. 10.3390/rs14194734
29. The Amazon Tall Tower Observatory (ATTO): overview of pilot measurements on ecosystem ecology, meteorology, trace gases, and aerosols M. Andreae et al. 10.5194/acp-15-10723-2015
30. Influence of Satellite Sensor Pixel Size and Overpass Time on Undercounting of Cerrado/Savannah Landscape-Scale Fire Radiative Power (FRP): An Assessment Using the MODIS Airborne Simulator S. Sperling et al. 10.3390/fire3020011
31. Characterisation of African biomass burning plumes and impacts on the atmospheric composition over the south-west Indian Ocean B. Verreyken et al. 10.5194/acp-20-14821-2020
32. Sensitivity of tropospheric loads and lifetimes of short lived pollutants to fire emissions N. Daskalakis et al. 10.5194/acp-15-3543-2015
33. 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. 10.1002/2017JD027415
34. Estimating annual GHG and particulate matter emissions from rural and forest fires based on an integrated modelling approach C. Scarpa et al. 10.1016/j.scitotenv.2023.167960
35. Atmospheric CH<sub>4</sub> and CO<sub>2</sub> enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes R. Parker et al. 10.5194/acp-16-10111-2016
36. Trends in eastern China agricultural fire emissions derived from a combination of geostationary (Himawari) and polar (VIIRS) orbiter fire radiative power products T. Zhang et al. 10.5194/acp-20-10687-2020
37. Primary aerosol and secondary inorganic aerosol budget over the Mediterranean Basin during 2012 and 2013 J. Guth et al. 10.5194/acp-18-4911-2018
38. Technical note: Evaluation of the Copernicus Atmosphere Monitoring Service Cy48R1 upgrade of June 2023 H. Eskes et al. 10.5194/acp-24-9475-2024
39. Aerosol optical properties over Svalbard: a comparison between Ny-Ålesund and Hornsund P. Pakszys & T. Zielinski 10.1016/j.oceano.2017.05.002
40. Satellite‐Based Analysis of CO Seasonal and Interannual Variability Over the Amazon Basin M. Deeter et al. 10.1029/2018JD028425
41. Top-Down Estimation of Particulate Matter Emissions from Extreme Tropical Peatland Fires Using Geostationary Satellite Fire Radiative Power Observations D. Fisher et al. 10.3390/s20247075
42. An updated model-ready emission inventory for Guangdong Province by incorporating big data and mapping onto multiple chemical mechanisms Z. Huang et al. 10.1016/j.scitotenv.2020.144535
43. Assessment of the contribution of the Meteosat Third Generation Infrared Sounder (MTG-IRS) for the characterisation of ozone over Europe F. Vittorioso et al. 10.5194/amt-17-5279-2024
44. Formation and evolution of tar balls from northwestern US wildfires A. Sedlacek III et al. 10.5194/acp-18-11289-2018
45. Estimation of fossil-fuel CO<sub>2</sub> emissions using satellite measurements of "proxy" species I. Konovalov et al. 10.5194/acp-16-13509-2016
46. Historical and future fire occurrence (1850 to 2100) simulated in CMIP5 Earth System Models S. Kloster & G. Lasslop 10.1016/j.gloplacha.2016.12.017
47. Interannual variability of nitrogen oxides emissions from boreal fires in Siberia and Alaska during 1996–2011 as observed from space H. Tanimoto et al. 10.1088/1748-9326/10/6/065004
48. Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012 G. Chen et al. 10.1002/2016GB005548
49. The GLAM Airborne Campaign across the Mediterranean Basin P. Ricaud et al. 10.1175/BAMS-D-16-0226.1
50. Examining the Impact of Smoke on Frontal Clouds and Precipitation During the 2002 Yakutsk Wildfires Using the WRF‐Chem‐SMOKE Model and Satellite Data Z. Lu & I. Sokolik 10.1002/2017JD027001
51. TROPESS-CrIS CO single-pixel vertical profiles: intercomparisons with MOPITT and model simulations for 2020 western US wildfires M. Luo et al. 10.5194/amt-17-2611-2024
52. APIFLAME v2.0 biomass burning emissions model: impact of refined input parameters on atmospheric concentration in Portugal in summer 2016 S. Turquety et al. 10.5194/gmd-13-2981-2020
53. Sentinel-3 SLSTR active fire detection and FRP product: Pre-launch algorithm development and performance evaluation using MODIS and ASTER datasets M. Wooster et al. 10.1016/j.rse.2011.09.033
54. Multi-Year (2013–2016) PM2.5 Wildfire Pollution Exposure over North America as Determined from Operational Air Quality Forecasts R. Munoz-Alpizar et al. 10.3390/atmos8090179
55. Global changes in aerosol single scattering albedo during COVID-19 K. Ansari & S. Ramachandran 10.1016/j.atmosenv.2024.120649
56. Inference of surface concentrations of nitrogen dioxide (NO2) in Colombia from tropospheric columns of the ozone measurement instrument (OMI) J. Freddy Grajales & A. Baquero-Bernal 10.1016/S0187-6236(14)71110-5
57. Chlorine oxidation of VOCs at a semi-rural site in Beijing: significant chlorine liberation from ClNO<sub>2</sub> and subsequent gas- and particle-phase Cl–VOC production M. Le Breton et al. 10.5194/acp-18-13013-2018
58. Estimación de emisiones atmosféricas de CO₂, NO₂, CO, NH₃ y Black Carbon vía bottom up, generados por quema de biomasa en el norte de América del Sur G. Valencia et al. 10.4995/raet.2022.15594
59. Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. 10.5194/acp-16-10133-2016
60. Forest fires and adaptation options in Europe N. Khabarov et al. 10.1007/s10113-014-0621-0
61. Global trend analysis in primary and secondary production of marine aerosol and aerosol optical depth during 2000–2015 S. Song et al. 10.1016/j.chemosphere.2019.02.152
62. Static and dynamic controls on fire activity at moderate spatial and temporal scales in the Alaskan boreal forest K. Barrett et al. 10.1002/ecs2.1572
63. HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module M. Guevara et al. 10.5194/gmd-12-1885-2019
64. Development and implementation of a new biomass burning emissions injection height scheme (BBEIH v1.0) for the GEOS-Chem model (v9-01-01) L. Zhu et al. 10.5194/gmd-11-4103-2018
65. Substantial Increases in Eastern Amazon and Cerrado Biomass Burning‐Sourced Tropospheric Ozone R. Pope et al. 10.1029/2019GL084143
66. Investigating the impact of overlying vegetation canopy structures on fire radiative power (FRP) retrieval through simulation and measurement G. Roberts et al. 10.1016/j.rse.2018.08.015
67. Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions S. Naus et al. 10.5194/acp-22-14735-2022
68. The direct radiative effect of wildfire smoke on a severe thunderstorm event in the Baltic Sea region V. Toll & A. Männik 10.1016/j.atmosres.2014.11.018
69. Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. 10.5194/gmd-8-549-2015
70. The value of satellite observations in the analysis and short-range prediction of Asian dust A. Benedetti et al. 10.5194/acp-19-987-2019
71. African biomass burning affects aerosol cycling over the Amazon B. Holanda et al. 10.1038/s43247-023-00795-5
72. CHIMERE 2013: a model for regional atmospheric composition modelling L. Menut et al. 10.5194/gmd-6-981-2013
73. Development of a source-specific biomass burning emissions inventory for Washington, Oregon, and California C. Schollaert et al. 10.1016/j.atmosenv.2023.120283
74. INFERNO-peat v1.0.0: a representation of northern high-latitude peat fires in the JULES-INFERNO global fire model K. Blackford et al. 10.5194/gmd-17-3063-2024
75. Propagation of NO2 originated in intense fires in the Paraná River Delta analyzed from satellite observations M. Binet et al. 10.1016/j.asr.2024.04.030
76. Human exposure and sensitivity to globally extreme wildfire events D. Bowman et al. 10.1038/s41559-016-0058
77. Benefit of ozone observations from Sentinel-5P and future Sentinel-4 missions on tropospheric composition S. Quesada-Ruiz et al. 10.5194/amt-13-131-2020
78. Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al. 10.3390/fire6110426
79. The FireWork air quality forecast system with near-real-time biomass burning emissions: Recent developments and evaluation of performance for the 2015 North American wildfire season R. Pavlovic et al. 10.1080/10962247.2016.1158214
80. Atmospheric CO2 inversion reveals the Amazon as a minor carbon source caused by fire emissions, with forest uptake offsetting about half of these emissions L. Basso et al. 10.5194/acp-23-9685-2023
81. Impact of the New South Wales fires during October 2013 on regional air quality in eastern Australia G. Rea et al. 10.1016/j.atmosenv.2016.01.034
82. 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
83. Uncovering transport, deposition and impact of radionuclides released after the early spring 2020 wildfires in the Chernobyl Exclusion Zone N. Evangeliou & S. Eckhardt 10.1038/s41598-020-67620-3
84. Estimates of spatially and temporally resolved constrained black carbon emission over the Indian region using a strategic integrated modelling approach S. Verma et al. 10.1016/j.atmosres.2017.05.007
85. Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area B. Poulter et al. 10.1002/2013GB004655
86. Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions M. Pommier et al. 10.5194/gmd-13-1787-2020
87. Differences in satellite-derived NO x emission factors between Eurasian and North American boreal forest fires S. Schreier et al. 10.1016/j.atmosenv.2014.08.071
88. Adapted ECC ozonesonde for long-duration flights aboard boundary-layer pressurised balloons F. Gheusi et al. 10.5194/amt-9-5811-2016
89. Impacts of changing fire weather conditions on reconstructed trends in U.S. wildland fire activity from 1979 to 2014 P. Freeborn et al. 10.1002/2016JG003617
90. Satellite contributions to the quantitative characterization of biomass burning for climate modeling C. Ichoku et al. 10.1016/j.atmosres.2012.03.007
91. Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
92. Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation L. Kong et al. 10.5194/acp-23-6217-2023
93. A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records F. Li et al. 10.1016/j.rse.2019.111600
94. Resuspension and atmospheric transport of radionuclides due to wildfires near the Chernobyl Nuclear Power Plant in 2015: An impact assessment N. Evangeliou et al. 10.1038/srep26062
95. Development of a multi-temporal Kalman filter approach to geostationary active fire detection & fire radiative power (FRP) estimation G. Roberts & M. Wooster 10.1016/j.rse.2014.06.020
96. A new top-down approach for directly estimating biomass burning emissions and fuel consumption rates and totals from geostationary satellite fire radiative power (FRP) B. Mota & M. Wooster 10.1016/j.rse.2017.12.016
97. Impact of the horizontal resolution of GEOS-Chem on land‒ocean and tropic‒extratropic partitioning and seasonal cycle in CO2 inversion Z. Liu et al. 10.1088/1748-9326/ad7870
98. Differential Effects of the COVID-19 Lockdown and Regional Fire on the Air Quality of Medellín, Colombia J. Henao et al. 10.3390/atmos12091137
99. Estimating burn severity and carbon emissions from a historic megafire in boreal forests of China W. Xu et al. 10.1016/j.scitotenv.2020.136534
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102. Unprecedented Atmospheric Ammonia Concentrations Detected in the High Arctic From the 2017 Canadian Wildfires E. Lutsch et al. 10.1029/2019JD030419
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106. Model Study of Global Mercury Deposition from Biomass Burning F. De Simone et al. 10.1021/acs.est.5b00969
107. Fire emission heights in the climate system – Part 2: Impact on transport, black carbon concentrations and radiation A. Veira et al. 10.5194/acp-15-7173-2015
108. Multiple site ground-based evaluation of carbonaceous aerosol mass concentrations retrieved from CAMS and MERRA-2 over the Indo-Gangetic Plain A. Soni et al. 10.1039/D1EA00067E
109. Doubling of annual ammonia emissions from the peat fires in Indonesia during the 2015 El Niño S. Whitburn et al. 10.1002/2016GL070620
110. Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model M. Petrenko et al. 10.1002/2017JD026693
111. Intercomparison of MODIS AQUA and VIIRS I-Band Fires and Emissions in an Agricultural Landscape—Implications for Air Pollution Research K. Vadrevu & K. Lasko 10.3390/rs10070978
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113. Global mapping of maximum emission heights and resulting vertical profiles of wildfire emissions M. Sofiev et al. 10.5194/acp-13-7039-2013
114. Approaches for synergistically exploiting VIIRS I- and M-Band data in regional active fire detection and FRP assessment: A demonstration with respect to agricultural residue burning in Eastern China T. Zhang et al. 10.1016/j.rse.2017.06.028
115. Impact of fuel variability on wildfire emission estimates G. Lasslop & S. Kloster 10.1016/j.atmosenv.2015.05.040
116. Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model S. Verma et al. 10.5194/acp-17-6663-2017
117. Recent global and regional trends in burned area and their compensating environmental controls M. Forkel et al. 10.1088/2515-7620/ab25d2
118. Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
119. The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation C. Randles et al. 10.1175/JCLI-D-16-0609.1
120. Wildfire air pollution hazard during the 21st century W. Knorr et al. 10.5194/acp-17-9223-2017
121. Spatial Distribution of Forest Fire Emissions: A Case Study in Three Mexican Ecoregions M. Cruz-López et al. 10.3390/rs11101185
122. Global methyl halide emissions from biomass burning during 2003–2021 X. Hu et al. 10.1016/j.ese.2022.100228
123. Impact of intercontinental pollution transport on North American ozone air pollution: an HTAP phase 2 multi-model study M. Huang et al. 10.5194/acp-17-5721-2017
124. Estimating Fire Radiative Power Using Weather Radar Products for Wildfires P. Saide et al. 10.1029/2023GL104824
125. Using the Fire Weather Index (FWI) to improve the estimation of fire emissions from fire radiative power (FRP) observations F. Di Giuseppe et al. 10.5194/acp-18-5359-2018
126. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
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128. The importance of plume rise on the concentrations and atmospheric impacts of biomass burning aerosol C. Walter et al. 10.5194/acp-16-9201-2016
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130. Impact of Wildfires on Mineral Dust Emissions in Europe L. Menut et al. 10.1029/2022JD037395
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134. Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
135. Direct radiative effect of the Russian wildfires and its impact on air temperature and atmospheric dynamics during August 2010 J. Péré et al. 10.5194/acp-14-1999-2014
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137. Global Observations of Tropospheric Bromine Monoxide (BrO) Columns From TROPOMI Y. Chen et al. 10.1029/2023JD039091
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140. Impacts of Amazonia biomass burning aerosols assessed from short-range weather forecasts S. Kolusu et al. 10.5194/acp-15-12251-2015
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146. Size distribution and chemical composition of primary particles emitted during open biomass burning processes: Impacts on cloud condensation nuclei activation L. Chen et al. 10.1016/j.scitotenv.2019.03.419
147. Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models H. Lin et al. 10.5194/gmd-14-5487-2021
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150. On the wintertime low bias of Northern Hemisphere carbon monoxide found in global model simulations O. Stein et al. 10.5194/acp-14-9295-2014
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152. Towards a global assessment of pyrogenic carbon from vegetation fires C. Santín et al. 10.1111/gcb.12985
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155. Investigating dominant characteristics of fires across the Amazon during 2005–2014 through satellite data synthesis of combustion signatures W. Tang & A. Arellano 10.1002/2016JD025216
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158. Pre-harvest sugarcane burning emission inventories based on remote sensing data in the state of São Paulo, Brazil D. França et al. 10.1016/j.atmosenv.2014.10.010
159. Siberian Arctic black carbon: gas flaring and wildfire impact O. Popovicheva et al. 10.5194/acp-22-5983-2022
160. Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts R. Abida et al. 10.5194/acp-17-1081-2017
161. Evaluating high-resolution forecasts of atmospheric CO and CO<sub>2</sub> from a global prediction system during KORUS-AQ field campaign W. Tang et al. 10.5194/acp-18-11007-2018
162. Haze in Singapore – source attribution of biomass burning PM<sub>10</sub> from Southeast Asia A. Hansen et al. 10.5194/acp-19-5363-2019
163. Airborne glyoxal measurements in the marine and continental atmosphere: comparison with TROPOMI observations and EMAC simulations F. Kluge et al. 10.5194/acp-23-1369-2023
164. Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century T. Smallman et al. 10.5194/esd-12-1191-2021
165. Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products Y. Fu et al. 10.3390/rs12182870
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685. Evaluating Satellite Fire Detection Products and an Ensemble Approach for Estimating Burned Area in the United States A. Marsha & N. Larkin 10.3390/fire5050147
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687. Religious Affiliation Modulates Weekly Cycles of Cropland Burning in Sub-Saharan Africa J. Pereira et al. 10.1371/journal.pone.0139189
688. The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. 10.5194/gmd-14-6781-2021
689. Fire Emissions and Carbon Uptake in Severely Burned Lenga Beech (Nothofagus pumilio) Forests of Patagonia, Argentina M. Bertolin et al. 10.4996/fireecology.1101032
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693. The importance of the representation of air pollution emissions for the modeled distribution and radiative effects of black carbon in the Arctic J. Schacht et al. 10.5194/acp-19-11159-2019
694. Enhancing Burned Area Monitoring with VIIRS dataset: A Case Study in Sub-Saharan Africa B. Ouattara et al. 10.1016/j.srs.2024.100165
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696. Modeling Regional Pollution Transport Events During KORUS‐AQ: Progress and Challenges in Improving Representation of Land‐Atmosphere Feedbacks M. Huang et al. 10.1029/2018JD028554
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700. Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015) M. van Marle et al. 10.5194/gmd-10-3329-2017
701. Quantifying the potential for high-altitude smoke injection in the North American boreal forest using the standard MODIS fire products and subpixel-based methods D. Peterson et al. 10.1002/2013JD021067
702. Anthropogenic and biogenic sources of Ethylene and the potential for human exposure: A literature review D. Morgott 10.1016/j.cbi.2015.08.012
703. A Climatological Satellite Assessment of Absorbing Carbonaceous Aerosols on a Global Scale N. Hatzianastassiou et al. 10.3390/atmos10110671
704. Molecular and physical characteristics of aerosol at a remote free troposphere site: implications for atmospheric aging S. Schum et al. 10.5194/acp-18-14017-2018
705. Effects of African BaP emission from wildfire biomass burning on regional and global environment and human health M. Wu et al. 10.1016/j.envint.2022.107162
706. Assumptions about footprint layer heights influence the quantification of emission sources: a case study for Cyprus I. Hüser et al. 10.5194/acp-17-10955-2017
707. Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. 10.5194/gmd-12-33-2019
708. Aerosol model evaluation using two geostationary satellites over East Asia in May 2016 D. Goto et al. 10.1016/j.atmosres.2018.10.016
709. A process-oriented evaluation of CAMS reanalysis ozone during tropopause folds over Europe for the period 2003–2018 D. Akritidis et al. 10.5194/acp-22-6275-2022
710. Analysis of atmospheric CH<sub>4</sub> in Canadian Arctic and estimation of the regional CH<sub>4</sub> fluxes M. Ishizawa et al. 10.5194/acp-19-4637-2019
711. Representing model uncertainty for global atmospheric CO<sub>2</sub> flux inversions using ECMWF-IFS-46R1 J. McNorton et al. 10.5194/gmd-13-2297-2020
712. Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. 10.3390/atmos13040559
713. Assimilation of atmospheric methane products into the MACC-II system: from SCIAMACHY to TANSO and IASI S. Massart et al. 10.5194/acp-14-6139-2014
714. A modeling study of the impact of the 2007 Greek forest fires on the gaseous pollutant levels in the Eastern Mediterranean A. Poupkou et al. 10.1016/j.atmosres.2014.05.015
715. Dataset of top-down nitrogen oxides fire emission estimation in northeastern Asia Y. Fu et al. 10.1016/j.dib.2022.108734
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718. NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms K. Cawse-Nicholson et al. 10.1016/j.rse.2021.112349
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725. Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al. 10.5194/acp-22-14657-2022
726. Climate change and wildfires in Russia A. Shvidenko & D. Schepaschenko 10.1134/S199542551307010X
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730. Modulation of PM2.5 in tropical South America by the upper-level atmospheric circulation and El Niño-Southern Oscillation phases S. Collazo et al. 10.1016/j.scitotenv.2024.170132
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732. Australia's Black Saturday fires – Comparison of techniques for estimating emissions from vegetation fires C. Paton-Walsh et al. 10.1016/j.atmosenv.2012.06.066
733. Potential Health Impacts from a Wildfire Smoke Plume over Region Jämtland Härjedalen, Sweden A. Tornevi et al. 10.3390/atmos14101491
734. Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze 10.5194/acp-17-7605-2017
735. A Pre-Operational System Based on the Assimilation of MODIS Aerosol Optical Depth in the MOCAGE Chemical Transport Model L. El Amraoui et al. 10.3390/rs14081949
736. A Study of the Dependence of the Degree of Forest Damage by Fires on the Intensity of Burning According to Satellite-Monitoring Data E. Loupian et al. 10.1134/S001095252270006X
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740. Forecasting Daily Wildfire Activity Using Poisson Regression C. Graff et al. 10.1109/TGRS.2020.2968029
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744. The effect of South American biomass burning aerosol emissions on the regional climate G. Thornhill et al. 10.5194/acp-18-5321-2018
745. Atmospheric trace gas trends obtained from FTIR column measurements in Toronto, Canada from 2002-2019 S. Yamanouchi et al. 10.1088/2515-7620/abfa65
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749. Atmospheric inversion of SO<sub>2</sub> and primary aerosol emissions for the year 2010 N. Huneeus et al. 10.5194/acp-13-6555-2013
750. Spatially modeling wildland fire severity in pine forests of Galicia, Spain J. Fernández-Alonso et al. 10.1007/s10342-016-1012-5
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752. Estimating emissions from agricultural fires in the North China Plain based on MODIS fire radiative power M. Liu et al. 10.1016/j.atmosenv.2015.04.058
753. Cloud adjustments dominate the overall negative aerosol radiative effects of biomass burning aerosols in UKESM1 climate model simulations over the south-eastern Atlantic H. Che et al. 10.5194/acp-21-17-2021
754. Long-term evaluation of surface air pollution in CAMSRA and MERRA-2 global reanalyses over Europe (2003–2020) A. Lacima et al. 10.5194/gmd-16-2689-2023
755. Improving Wet and Dry Deposition of Aerosols in WRF‐Chem: Updates to Below‐Cloud Scavenging and Coarse‐Particle Dry Deposition Y. Ryu & S. Min 10.1029/2021MS002792
756. CO2 emission of Indonesian fires in 2015 estimated from satellite‐derived atmospheric CO2 concentrations J. Heymann et al. 10.1002/2016GL072042
757. Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory C. Pöhlker et al. 10.5194/acp-19-8425-2019
758. Assessing the representation of the Australian carbon cycle in global vegetation models L. Teckentrup et al. 10.5194/bg-18-5639-2021
759. Wildfire burn severity and emissions inventory: an example implementation over California Q. Xu et al. 10.1088/1748-9326/ac80d0
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761. Emission factors of trace gases and particles from tropical savanna fires in Australia M. Desservettaz et al. 10.1002/2016JD025925
762. Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia Y. Fu et al. 10.1016/j.envint.2022.107498
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764. Accelerated rise in wildfire carbon emissions from Arctic continuous permafrost X. Zhu et al. 10.1016/j.scib.2024.05.022
765. Seasonal Variation of Wet Deposition of Black Carbon in Arctic Alaska T. Mori et al. 10.1029/2019JD032240
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767. Impacts of aviation fuel sulfur content on climate and human health Z. Kapadia et al. 10.5194/acp-16-10521-2016
768. Influence of Fire on the Carbon Cycle and Climate G. Lasslop et al. 10.1007/s40641-019-00128-9
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772. Vegetation fires, absorbing aerosols and smoke plume characteristics in diverse biomass burning regions of Asia K. Vadrevu et al. 10.1088/1748-9326/10/10/105003
773. Pan-Eurasian Experiment (PEEX): towards a holistic understanding of the feedbacks and interactions in the land–atmosphere–ocean–society continuum in the northern Eurasian region H. Lappalainen et al. 10.5194/acp-16-14421-2016
774. Estimation of CO2 Emissions from Wildfires Using OCO-2 Data M. Guo et al. 10.3390/atmos10100581
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776. Ground‐Based Field Measurements of PM2.5 Emission Factors From Flaming and Smoldering Combustion in Eucalypt Forests F. Reisen et al. 10.1029/2018JD028488
777. The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation S. Wei et al. 10.5194/gmd-17-795-2024
778. Atmospheric deposition of biologically relevant trace metals in the eastern Adriatic coastal area A. Penezić et al. 10.1016/j.chemosphere.2021.131178
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783. Daily and 3-hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide M. Mu et al. 10.1029/2011JD016245
784. Comparison of remote sensing and fixed-site monitoring approaches for examining air pollution and health in a national study population G. Prud'homme et al. 10.1016/j.atmosenv.2013.07.020
785. Stable isotopic characterization of nitrate wet deposition in the tropical urban atmosphere of Costa Rica M. Villalobos-Forbes et al. 10.1007/s11356-021-15327-x
786. CALIPSO-Derived Three-Dimensional Structure of Aerosol over the Atlantic Basin and Adjacent Continents A. Adams et al. 10.1175/JCLI-D-11-00672.1
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