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48. Aerosol optical properties over Svalbard: a comparison between Ny-Ålesund and Hornsund P. Pakszys & T. Zielinski https://doi.org/10.1016/j.oceano.2017.05.002
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53. Formation and evolution of tar balls from northwestern US wildfires A. Sedlacek III et al. https://doi.org/10.5194/acp-18-11289-2018
54. Estimation of fossil-fuel CO2 emissions using satellite measurements of "proxy" species I. Konovalov et al. https://doi.org/10.5194/acp-16-13509-2016
55. Historical and future fire occurrence (1850 to 2100) simulated in CMIP5 Earth System Models S. Kloster & G. Lasslop https://doi.org/10.1016/j.gloplacha.2016.12.017
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115. Impact of post-monsoon crop residue burning on PM2.5 over northern India: optimizing emissions using a high-density in situ surface observation network M. Kajino et al. https://doi.org/10.5194/acp-25-7137-2025
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158. Recent global and regional trends in burned area and their compensating environmental controls M. Forkel et al. https://doi.org/10.1088/2515-7620/ab25d2
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160. 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. https://doi.org/10.5194/acp-22-15817-2022
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163. Spatial Distribution of Forest Fire Emissions: A Case Study in Three Mexican Ecoregions M. Cruz-López et al. https://doi.org/10.3390/rs11101185
164. Quantifying anthropogenic impacts on CO₂ and CH₄ emissions: statistical insights and hotspot detection in East Africa A. Okrah et al. https://doi.org/10.1007/s10661-025-14361-3
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167. Impact of intercontinental pollution transport on North American ozone air pollution: an HTAP phase 2 multi-model study M. Huang et al. https://doi.org/10.5194/acp-17-5721-2017
168. Estimating Fire Radiative Power Using Weather Radar Products for Wildfires P. Saide et al. https://doi.org/10.1029/2023GL104824
169. Using the Fire Weather Index (FWI) to improve the estimation of fire emissions from fire radiative power (FRP) observations F. Di Giuseppe et al. https://doi.org/10.5194/acp-18-5359-2018
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173. Atmospheric observations suggest methane emissions in north-eastern China growing with natural gas use F. Wang et al. https://doi.org/10.1038/s41598-022-19462-4
174. Impact of Wildfires on Mineral Dust Emissions in Europe L. Menut et al. https://doi.org/10.1029/2022JD037395
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181. PAPILA dataset: a regional emission inventory of reactive gases for South America based on the combination of local and global information P. Castesana et al. https://doi.org/10.5194/essd-14-271-2022
182. Global Observations of Tropospheric Bromine Monoxide (BrO) Columns From TROPOMI Y. Chen et al. https://doi.org/10.1029/2023JD039091
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185. 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
186. Surface ozone in the Doon Valley of the Himalayan foothills during spring N. Ojha et al. https://doi.org/10.1007/s11356-019-05085-2
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190. Natural and anthropogenic influence on tropospheric ozone variability over the Tropical Atlantic unveiled by satellite, reanalyses and in situ observations S. Okamoto et al. https://doi.org/10.5194/acp-26-4685-2026
191. Biomass burning CO emissions: exploring insights through TROPOMI-derived emissions and emission coefficients D. Griffin et al. https://doi.org/10.5194/acp-24-10159-2024
192. 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
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200. Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. https://doi.org/10.5194/amt-17-5679-2024
201. On the wintertime low bias of Northern Hemisphere carbon monoxide found in global model simulations O. Stein et al. https://doi.org/10.5194/acp-14-9295-2014
202. Indian Land Carbon Sink Estimated from Surface and GOSAT Observations L. Nayagam et al. https://doi.org/10.3390/rs17030450
203. Effects of Fire Plume Height on the Geophysical Estimation of Surface Fine Particulate Matter from Satellite Aerosol Optical Depth during North American Wildfires I. Singh et al. https://doi.org/10.1021/acsestair.5c00035
204. Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model A. Manders et al. https://doi.org/10.5194/gmd-10-4145-2017
205. Wildfire Smoke Challenges Attainment of the Strengthened U.S. Annual PM2.5 Standard through Regional and Transboundary Contributions M. Hossain et al. https://doi.org/10.1021/acsestair.6c00101
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208. Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: a case study over Antalya in 2008 G. Baldassarre et al. https://doi.org/10.5194/acp-15-8539-2015
209. 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
210. Characteristics of equivalent black carbon aerosols over Doon Valley in NW Indian Himalaya during COVID-19 lockdown 2020 C. Pandey & P. Negi https://doi.org/10.1007/s10661-022-09879-9
211. The Global Forest Fire Emissions Prediction System version 1.0 K. Anderson et al. https://doi.org/10.5194/gmd-17-7713-2024
212. Rain-fed pulses of methane from East Africa during 2018–2019 contributed to atmospheric growth rate M. Lunt et al. https://doi.org/10.1088/1748-9326/abd8fa
213. Pre-harvest sugarcane burning emission inventories based on remote sensing data in the state of São Paulo, Brazil D. França et al. https://doi.org/10.1016/j.atmosenv.2014.10.010
214. Siberian Arctic black carbon: gas flaring and wildfire impact O. Popovicheva et al. https://doi.org/10.5194/acp-22-5983-2022
215. Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts R. Abida et al. https://doi.org/10.5194/acp-17-1081-2017
216. Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign W. Tang et al. https://doi.org/10.5194/acp-18-11007-2018
217. Haze in Singapore – source attribution of biomass burning PM10 from Southeast Asia A. Hansen et al. https://doi.org/10.5194/acp-19-5363-2019
218. Airborne glyoxal measurements in the marine and continental atmosphere: comparison with TROPOMI observations and EMAC simulations F. Kluge et al. https://doi.org/10.5194/acp-23-1369-2023
219. Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century T. Smallman et al. https://doi.org/10.5194/esd-12-1191-2021
220. Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products Y. Fu et al. https://doi.org/10.3390/rs12182870
221. Daily global fire radiative power fields estimation from one or two MODIS instruments S. Remy & J. Kaiser https://doi.org/10.5194/acp-14-13377-2014
222. Gas‐aerosol partitioning of ammonia in biomass burning plumes: Implications for the interpretation of spaceborne observations of ammonia and the radiative forcing of ammonium nitrate F. Paulot et al. https://doi.org/10.1002/2017GL074215
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224. The impact of organic pollutants from Indonesian peatland fires on the tropospheric and lower stratospheric composition S. Rosanka et al. https://doi.org/10.5194/acp-21-11257-2021
225. Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data J. Lizundia-Loiola et al. https://doi.org/10.3390/rs13214295
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228. An Overview of Dynamic Heterogeneous Oxidations in the Troposphere E. Pillar-Little & M. Guzman https://doi.org/10.3390/environments5090104
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235. The role of biomass burning as derived from the tropospheric CO vertical profiles measured by IAGOS aircraft in 2002–2017 H. Petetin et al. https://doi.org/10.5194/acp-18-17277-2018
236. Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution Y. Sun et al. https://doi.org/10.5194/acp-20-5437-2020
237. Unexpected long-range transport of glyoxal and formaldehyde observed from the Copernicus Sentinel-5 Precursor satellite during the 2018 Canadian wildfires L. Alvarado et al. https://doi.org/10.5194/acp-20-2057-2020
238. Estimation of biomass burning emission of NO2 and CO from 2019–2020 Australia fires based on satellite observations N. Wan et al. https://doi.org/10.5194/acp-23-711-2023
239. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al. https://doi.org/10.5194/gmd-17-8751-2024
240. Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al. https://doi.org/10.5194/acp-24-6787-2024
241. Evaluation of atmospheric aerosols in the metropolitan area of São Paulo simulated by the regional EURAD-IM model on high-resolution E. De Souza Fernandes Duarte et al. https://doi.org/10.1016/j.apr.2020.12.006
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243. Global Methane Budget 2000–2020 M. Saunois et al. https://doi.org/10.5194/essd-17-1873-2025
244. Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1) S. Rémy et al. https://doi.org/10.5194/gmd-12-4627-2019
245. Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique I. Skoulidou et al. https://doi.org/10.3390/atmos12070900
246. Regional evaluation of the performance of the global CAMS chemical modeling system over the United States (IFS cycle 47r1) J. Williams et al. https://doi.org/10.5194/gmd-15-4657-2022
247. First estimation and evaluation of hourly biomass burning emissions in north American high latitudes F. Li et al. https://doi.org/10.1016/j.rse.2025.114814
248. Do contemporary (1980–2015) emissions determine the elemental carbon deposition trend at Holtedahlfonna glacier, Svalbard? M. Ruppel et al. https://doi.org/10.5194/acp-17-12779-2017
249. Implementing microscopic charcoal particles into a global aerosol–climate model A. Gilgen et al. https://doi.org/10.5194/acp-18-11813-2018
250. First study of Sentinel-3 SLSTR active fire detection and FRP retrieval: Night-time algorithm enhancements and global intercomparison to MODIS and VIIRS AF products W. Xu et al. https://doi.org/10.1016/j.rse.2020.111947
251. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. https://doi.org/10.5194/gmd-8-2777-2015
252. Estimation of Canada's methane emissions: inverse modelling analysis using the Environment and Climate Change Canada (ECCC) measurement network M. Ishizawa et al. https://doi.org/10.5194/acp-24-10013-2024
253. Fire emission heights in the climate system – Part 1: Global plume height patterns simulated by ECHAM6-HAM2 A. Veira et al. https://doi.org/10.5194/acp-15-7155-2015
254. The global methane budget 2000–2012 M. Saunois et al. https://doi.org/10.5194/essd-8-697-2016
255. The Use of Fire Radiative Power to Estimate the Biomass Consumption Coefficient for Temperate Grasslands in the Atlantic Forest Biome B. Costa & E. Fonseca https://doi.org/10.1590/0102-77863220004
256. Skill-Testing Chemical Transport Models across Contrasting Atmospheric Mixing States Using Radon-222 S. Chambers et al. https://doi.org/10.3390/atmos10010025
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258. Seasonal and interannual variability in CO2 fluxes in southern Africa seen by GOSAT E. Metz et al. https://doi.org/10.5194/bg-22-555-2025
259. Large-Scale Modeling of Absorbing Aerosols and Their Semi-Direct Effects I. Tegen & B. Heinold https://doi.org/10.3390/atmos9100380
260. 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
261. IASI-derived NH3 enhancement ratios relative to CO for the tropical biomass burning regions S. Whitburn et al. https://doi.org/10.5194/acp-17-12239-2017
262. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. https://doi.org/10.5194/gmd-17-7467-2024
263. Quantifying pyroconvective injection heights using observations of fire energy: sensitivity of spaceborne observations of carbon monoxide S. Gonzi et al. https://doi.org/10.5194/acp-15-4339-2015
264. Compositions and mixing states of aerosol particles by aircraft observations in the Arctic springtime, 2018 K. Adachi et al. https://doi.org/10.5194/acp-21-3607-2021
265. Trends and sources of ozone and sub-micron aerosols at the Mt. Bachelor Observatory (MBO) during 2004–2015 L. Zhang & D. Jaffe https://doi.org/10.1016/j.atmosenv.2017.06.042
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267. Global Emissions Inventory from Open Biomass Burning (GEIOBB): utilizing Fengyun-3D global fire spot monitoring data Y. Liu et al. https://doi.org/10.5194/essd-16-3495-2024
268. Pyrogenic HONO seen from space: insights from global IASI observations B. Franco et al. https://doi.org/10.5194/acp-24-4973-2024
269. Source apportionment and health risk assessment among specific age groups during haze and non-haze episodes in Kuala Lumpur, Malaysia N. Sulong et al. https://doi.org/10.1016/j.scitotenv.2017.05.153
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271. Emission ratio and isotopic signatures of molecular hydrogen emissions from tropical biomass burning F. Haumann et al. https://doi.org/10.5194/acp-13-9401-2013
272. Aerosol characteristics over Indo-Gangetic Plain from ground-based AERONET and MERRA-2/CAMS model simulations K. Ansari & S. Ramachandran https://doi.org/10.1016/j.atmosenv.2022.119434
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275. Estimation of fire-induced carbon emissions from Equatorial Asia in 2015 using in situ aircraft and ship observations Y. Niwa et al. https://doi.org/10.5194/acp-21-9455-2021
276. Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western U.S. Wildfires C. Stockwell et al. https://doi.org/10.1021/acs.est.1c07121
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279. Quantification and evaluation of atmospheric pollutant emissions from open biomass burning with multiple methods: a case study for the Yangtze River Delta region, China Y. Yang & Y. Zhao https://doi.org/10.5194/acp-19-327-2019
280. Intercomparison of aerosol optical depths from four reanalyses and their multi-reanalysis consensus P. Xian et al. https://doi.org/10.5194/acp-24-6385-2024
281. Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. https://doi.org/10.3390/rs12030375
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283. Future projections of Siberian wildfire and aerosol emissions R. Nurrohman et al. https://doi.org/10.5194/bg-21-4195-2024
284. Modelling anthropogenic aerosol sources and secondary organic aerosol formation: a wintertime study in central Europe H. Wiedenhaus et al. https://doi.org/10.5194/acp-25-12893-2025
285. Progress and challenges in remotely sensed terrestrial carbon fluxes T. Wang et al. https://doi.org/10.1080/10095020.2024.2336599
286. Vast CO2 release from Australian fires in 2019–2020 constrained by satellite I. van der Velde et al. https://doi.org/10.1038/s41586-021-03712-y
287. Particulate-phase mercury emissions from biomass burning and impact on resulting deposition: a modelling assessment F. De Simone et al. https://doi.org/10.5194/acp-17-1881-2017
288. The newly developed Multi-ensemble Biomass-burning Emissions Inventory (MBEI): characterizing and unraveling spatiotemporal uncertainty in global biomass burning emissions X. Liu et al. https://doi.org/10.5194/essd-18-1203-2026
289. Inferring the diurnal variability of OH radical concentrations over the Amazon from BVOC measurements A. Ringsdorf et al. https://doi.org/10.1038/s41598-023-41748-4
290. Uncertainties from biomass burning aerosols in air quality models obscure public health impacts in Southeast Asia M. Marvin et al. https://doi.org/10.5194/acp-24-3699-2024
291. Machine Learning Bias Correction of HRRR-Smoke Surface PM2.5 Forecasts during the Alaska Wildfire Season Z. Dong et al. https://doi.org/10.1021/acsestair.5c00409
292. Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts J. Barré et al. https://doi.org/10.5194/acp-21-5117-2021
293. 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
294. Prediction of source contributions to urban background PM10 concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 – Part 2: The city contribution M. Pommier https://doi.org/10.5194/gmd-14-4143-2021
295. Gridded 1 km × 1 km emission inventory for paddy stubble burning emissions over north-west India constrained by measured emission factors of 77 VOCs and district-wise crop yield data A. Kumar et al. https://doi.org/10.1016/j.scitotenv.2021.148064
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302. Carbon monoxide and related trace gases and aerosols over the Amazon Basin during the wet and dry seasons M. Andreae et al. https://doi.org/10.5194/acp-12-6041-2012
303. EURODELTA III exercise: An evaluation of air quality models’ capacity to reproduce the carbonaceous aerosol M. Mircea et al. https://doi.org/10.1016/j.aeaoa.2019.100018
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676. An improved representation of fire non-methane organic gases (NMOGs) in models: emissions to reactivity T. Carter et al. https://doi.org/10.5194/acp-22-12093-2022
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689. Discovery and potential ramifications of reduced iron-bearing nanoparticles—magnetite, wüstite, and zero-valent iron—in wildland–urban interface fire ashes M. Baalousha et al. https://doi.org/10.1039/D2EN00439A
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725. Acetone–CO enhancement ratios in the upper troposphere based on 7 years of CARIBIC data: new insights and estimates of regional acetone fluxes G. Fischbeck et al. https://doi.org/10.5194/acp-17-1985-2017
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727. Black carbon aerosol reductions during COVID-19 confinement quantified by aircraft measurements over Europe O. Krüger et al. https://doi.org/10.5194/acp-22-8683-2022
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740. Black carbon aerosol characteristics over Gangotri glacier valley in North-Western Himalaya: Long-range transport and implications to radiative forcing A. Thakur et al. https://doi.org/10.1016/j.atmosenv.2025.121654
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742. Open biomass burning emissions and their contribution to ambient formaldehyde in Guangdong province, China C. Zhang et al. https://doi.org/10.1016/j.scitotenv.2022.155904
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751. Evaluating the effects of COVID-19 lockdowns on air quality across some African countries Z. Han et al. https://doi.org/10.1039/D5EA00111K
752. Role of Upwind Precipitation in Transboundary Pollution and Secondary Aerosol Formation: A Case Study during the KORUS-AQ Field Campaign Y. Ryu et al. https://doi.org/10.1175/JAMC-D-21-0162.1
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818. 24 h Evolution of an Exceptional HONO Plume Emitted by the Record-Breaking 2019/2020 Australian Wildfire Tracked from Space G. Dufour et al. https://doi.org/10.3390/atmos13091485
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827. Spatiotemporal Variations and Uncertainty in Crop Residue Burning Emissions over North China Plain: Implication for Atmospheric CO2 Simulation Y. Fu et al. https://doi.org/10.3390/rs13193880
828. Quantifying the impacts of marine aerosols over the southeast Atlantic Ocean using a chemical transport model: implications for aerosol–cloud interactions M. Hossain et al. https://doi.org/10.5194/acp-24-14123-2024
829. Origins and characterization of CO and O3 in the African upper troposphere V. Lannuque et al. https://doi.org/10.5194/acp-21-14535-2021
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841. The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing, and climate sensitivity D. Neubauer et al. https://doi.org/10.5194/gmd-12-3609-2019
842. Evaluating the SEVIRI Fire Thermal Anomaly Detection Algorithm across the Central African Republic Using the MODIS Active Fire Product P. Freeborn et al. https://doi.org/10.3390/rs6031890
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846. Soil humic-like organic compounds in prescribed fire emissions using nuclear magnetic resonance spectroscopy M. Chalbot et al. https://doi.org/10.1016/j.envpol.2013.06.008
847. Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. https://doi.org/10.5194/bg-11-3547-2014
848. Global warming is shifting the relationships between fire weather and realized fire-induced CO2 emissions in Europe J. Carnicer et al. https://doi.org/10.1038/s41598-022-14480-8
849. Can the aerosol pollution extreme events be revealed by global reanalysis products? J. Li et al. https://doi.org/10.1016/j.scitotenv.2024.171424
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851. Biomass burning combustion efficiency observed from space using measurements of CO and NO2 by the TROPOspheric Monitoring Instrument (TROPOMI) I. van der Velde et al. https://doi.org/10.5194/acp-21-597-2021
852. Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions Q. Zhong et al. https://doi.org/10.1038/s41467-022-33680-4
853. Investigation of the cross-border movement of PM2.5 in the Terai belt of Nepal using a low-cost sensor network H. Shrestha et al. https://doi.org/10.1016/j.apr.2026.102920
854. Potential of using CO2 observations over India in a regional carbon budget estimation by improving the modelling system V. Thilakan et al. https://doi.org/10.5194/acp-24-5315-2024
855. Atmospheric salt deposition in a tropical mountain rainforest at the eastern Andean slopes of south Ecuador – Pacific or Atlantic origin? S. Makowski Giannoni et al. https://doi.org/10.5194/acp-16-10241-2016
856. Development of the CREATE Inventory in Support of Integrated Climate and Air Quality Modeling for Asia J. Woo et al. https://doi.org/10.3390/su12197930
857. Marked rebound of agricultural fire emissions in Asia after the outbreak of COVID-19 M. Liu et al. https://doi.org/10.1088/1748-9326/ac9e69
858. Improved rice residue burning emissions estimates: Accounting for practice-specific emission factors in air pollution assessments of Vietnam K. Lasko & K. Vadrevu https://doi.org/10.1016/j.envpol.2018.01.098
859. Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. https://doi.org/10.5194/acp-22-14355-2022
860. Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al. https://doi.org/10.5194/acp-23-8899-2023
861. Widespread stratospheric intrusion influence on summer ozone pollution over China revealed by multi-site ozonesonde and validated EAC4 reanalysis Z. Liao et al. https://doi.org/10.5194/acp-25-14865-2025
862. Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. https://doi.org/10.5194/acp-20-2795-2020
863. 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
864. Impacts of post-harvest open biomass burning and burning ban policy on severe haze in the Northeastern China G. Yang et al. https://doi.org/10.1016/j.scitotenv.2020.136517
865. Impacts of Biomass Burning Emission Inventories and Atmospheric Reanalyses on Simulated PM10 over Indochina K. Takami et al. https://doi.org/10.3390/atmos11020160
866. Characterizing aerosol sources based on aerosol optical properties and dispersion modelling in a Scandinavian Coastal Area (Aarhus, Denmark) Z. Teng et al. https://doi.org/10.5194/ar-4-169-2026
867. Observations and Impacts of Long‐Range Transported Wildfire Smoke on Air Quality Across New York State During July 2021 B. Shrestha et al. https://doi.org/10.1029/2022GL100216
868. Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire X. Ye et al. https://doi.org/10.5194/acp-21-14427-2021
869. Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 Y. Xu et al. https://doi.org/10.1038/s41597-023-02541-0
870. Amundsen Sea Ice Loss Contributes to Australian Wildfires G. Liu et al. https://doi.org/10.1021/acs.est.4c00051
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872. Quantifying variability, source, and transport of CO in the urban areas over the Himalayas and Tibetan Plateau Y. Sun et al. https://doi.org/10.5194/acp-21-9201-2021
873. Estimates of reactive trace gases (NMVOCs, CO and NOx) and their ozone forming potentials during forest fire over Southern Himalayan region A. Kumar et al. https://doi.org/10.1016/j.atmosres.2019.04.028
874. Investigating the drivers of the unprecedented Chernobyl Power Plant Wildfire in April 2020 and its effects on 137Cs dispersal F. Newman-Thacker & L. Turnbull https://doi.org/10.1007/s11069-021-04902-7
875. Bias-correcting carbon fluxes derived from land-surface satellite data for retrospective and near-real-time assimilation systems B. Weir et al. https://doi.org/10.5194/acp-21-9609-2021
876. Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. https://doi.org/10.5194/acp-23-9495-2023
877. Global population exposure to landscape fire air pollution from 2000 to 2019 R. Xu et al. https://doi.org/10.1038/s41586-023-06398-6
878. Wildfires in a warmer climate: Emission fluxes, emission heights, and black carbon concentrations in 2090–2099 A. Veira et al. https://doi.org/10.1002/2015JD024142
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881. Climatic and biotic factors influencing regional declines and recovery of tropical forest biomass from the 2015/16 El Niño H. Yang et al. https://doi.org/10.1073/pnas.2101388119
882. Characterization of the annual cycle of atmospheric aerosol over Mindelo, Cabo Verde, by means of continuous multiwavelength lidar observations H. Gebauer et al. https://doi.org/10.5194/acp-26-3439-2026
883. Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM2.5 assimilation on Community Multi‐scale Air Quality aerosol predictions over the contiguous United States T. Chai et al. https://doi.org/10.1002/2016JD026295
884. Distinct Regional and Seasonal Patterns of Atmospheric NH3 Observed from Satellite over East Asia H. Choi et al. https://doi.org/10.3390/rs17152587
885. Simulation of organics in the atmosphere: evaluation of EMACv2.54 with the Mainz Organic Mechanism (MOM) coupled to the ORACLE (v1.0) submodel A. Pozzer et al. https://doi.org/10.5194/gmd-15-2673-2022
886. Evaluating Satellite Fire Detection Products and an Ensemble Approach for Estimating Burned Area in the United States A. Marsha & N. Larkin https://doi.org/10.3390/fire5050147
887. Impacts of meteorological parameters and emissions on decadal and interannual variations of black carbon in China for 1980–2010 Y. Mao et al. https://doi.org/10.1002/2015JD024019
888. Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al. https://doi.org/10.5194/essd-18-2749-2026
889. Religious Affiliation Modulates Weekly Cycles of Cropland Burning in Sub-Saharan Africa J. Pereira et al. https://doi.org/10.1371/journal.pone.0139189
890. The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. https://doi.org/10.5194/gmd-14-6781-2021
891. Impact of meteorology and aerosol sources on PM2.5 and oxidative potential variability and levels in China J. Liu et al. https://doi.org/10.5194/acp-24-10849-2024
892. Fire Emissions and Carbon Uptake in Severely Burned Lenga Beech (Nothofagus pumilio) Forests of Patagonia, Argentina M. Bertolin et al. https://doi.org/10.4996/fireecology.1101032
893. Reprint of: 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. https://doi.org/10.1016/j.atmosenv.2015.07.046
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895. Influence of spatial resolution on population PM2.5 exposure and health impacts A. Korhonen et al. https://doi.org/10.1007/s11869-019-00690-z
896. 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. https://doi.org/10.5194/acp-19-11159-2019
897. Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa B. Ouattara et al. https://doi.org/10.1016/j.srs.2024.100165
898. Biomass Burning over Africa: How to Explain the Differences Observed Between the Different Emission Inventories? T. N’Datchoh et al. https://doi.org/10.3390/atmos16040440
899. Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. https://doi.org/10.5194/acp-21-2637-2021
900. Substantial discrepancies across global fire emissions inventories: a systematic intercomparison J. Yang et al. https://doi.org/10.1016/j.jes.2026.105563
901. Modeling Regional Pollution Transport Events During KORUS‐AQ: Progress and Challenges in Improving Representation of Land‐Atmosphere Feedbacks M. Huang et al. https://doi.org/10.1029/2018JD028554
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903. Emission of Hazardous Substances During Fires in Selected Facilities A. Rabajczyk et al. https://doi.org/10.3390/app152412989
904. Global nitrous acid emissions and levels of regional oxidants enhanced by wildfires N. Theys et al. https://doi.org/10.1038/s41561-020-0637-7
905. Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion J. McNorton et al. https://doi.org/10.5194/acp-22-5961-2022
906. 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. https://doi.org/10.5194/gmd-10-3329-2017
907. Comparative Analysis of Estimates of Carbon Emissions from Wildfires in Russia Based on Global Remote Sensing Products A. Matveev & S. Bartalev https://doi.org/10.1134/S0010952525602014
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911. A Climatological Satellite Assessment of Absorbing Carbonaceous Aerosols on a Global Scale N. Hatzianastassiou et al. https://doi.org/10.3390/atmos10110671
912. Burned area detection and estimation of fire carbon emissions in Canada in 2023 using Landsat 8/9 and Sentinel 2 data Z. Zhang et al. https://doi.org/10.1080/2150704X.2025.2513558
913. Molecular and physical characteristics of aerosol at a remote free troposphere site: implications for atmospheric aging S. Schum et al. https://doi.org/10.5194/acp-18-14017-2018
914. Effects of African BaP emission from wildfire biomass burning on regional and global environment and human health M. Wu et al. https://doi.org/10.1016/j.envint.2022.107162
915. Assumptions about footprint layer heights influence the quantification of emission sources: a case study for Cyprus I. Hüser et al. https://doi.org/10.5194/acp-17-10955-2017
916. 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. https://doi.org/10.5194/gmd-12-33-2019
917. Aerosol model evaluation using two geostationary satellites over East Asia in May 2016 D. Goto et al. https://doi.org/10.1016/j.atmosres.2018.10.016
918. A process-oriented evaluation of CAMS reanalysis ozone during tropopause folds over Europe for the period 2003–2018 D. Akritidis et al. https://doi.org/10.5194/acp-22-6275-2022
919. Analysis of atmospheric CH4 in Canadian Arctic and estimation of the regional CH4 fluxes M. Ishizawa et al. https://doi.org/10.5194/acp-19-4637-2019
920. Representing model uncertainty for global atmospheric CO2 flux inversions using ECMWF-IFS-46R1 J. McNorton et al. https://doi.org/10.5194/gmd-13-2297-2020
921. Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. https://doi.org/10.3390/atmos13040559
922. Assimilation of atmospheric methane products into the MACC-II system: from SCIAMACHY to TANSO and IASI S. Massart et al. https://doi.org/10.5194/acp-14-6139-2014
923. 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. https://doi.org/10.1016/j.atmosres.2014.05.015
924. Dataset of top-down nitrogen oxides fire emission estimation in northeastern Asia Y. Fu et al. https://doi.org/10.1016/j.dib.2022.108734
925. Emission estimates of trace gases (VOCs and NOx) and their reactivity during biomass burning period (2003–2017) over Northeast India K. Bali et al. https://doi.org/10.1007/s10874-020-09413-6
926. Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic M. Guevara et al. https://doi.org/10.5194/acp-23-8081-2023
927. NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms K. Cawse-Nicholson et al. https://doi.org/10.1016/j.rse.2021.112349
928. New Inventories of Global Carbon Dioxide Emissions through Biomass Burning in 2001–2020 T. Shiraishi et al. https://doi.org/10.3390/rs13101914
929. Chemistry and the Linkages between Air Quality and Climate Change E. von Schneidemesser et al. https://doi.org/10.1021/acs.chemrev.5b00089
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931. Effects of Rossby Waves Breaking and Atmospheric Blocking Formation on the Extreme Forest Fire and Floods in Eastern Siberia 2019 O. Antokhina et al. https://doi.org/10.3390/fire6030122
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933. Impact of synthetic space-borne NO2 observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO2 analyses R. Timmermans et al. https://doi.org/10.5194/acp-19-12811-2019
934. Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al. https://doi.org/10.5194/acp-22-14657-2022
935. Climate change and wildfires in Russia A. Shvidenko & D. Schepaschenko https://doi.org/10.1134/S199542551307010X
936. NMVOC emission optimization in China through assimilating formaldehyde retrievals from multiple satellite products C. Xu et al. https://doi.org/10.5194/acp-26-33-2026
937. Aerosol Effects on Clear‐Sky Shortwave Heating in the Asian Monsoon Tropopause Layer J. Gao et al. https://doi.org/10.1029/2022JD036956
938. Effects of smoke on marine low clouds and radiation during 2020 western United States wildfires L. Dong et al. https://doi.org/10.1016/j.atmosres.2024.107295
939. Climatic variation drives loss and restructuring of carbon and nitrogen in boreal forest wildfire J. Eckdahl et al. https://doi.org/10.5194/bg-19-2487-2022
940. Modulation of PM2.5 in tropical South America by the upper-level atmospheric circulation and El Niño-Southern Oscillation phases S. Collazo et al. https://doi.org/10.1016/j.scitotenv.2024.170132
941. A biogenic CO2 flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO2 analyses and forecasts A. Agustí-Panareda et al. https://doi.org/10.5194/acp-16-10399-2016
942. Australia's Black Saturday fires – Comparison of techniques for estimating emissions from vegetation fires C. Paton-Walsh et al. https://doi.org/10.1016/j.atmosenv.2012.06.066
943. Potential Health Impacts from a Wildfire Smoke Plume over Region Jämtland Härjedalen, Sweden A. Tornevi et al. https://doi.org/10.3390/atmos14101491
944. Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze https://doi.org/10.5194/acp-17-7605-2017
945. First multi-sensor characterization of fire-emitted potassium spectral signatures from space in low-light and daytime conditions W. Julstrom et al. https://doi.org/10.1016/j.rse.2026.115542
946. A Pre-Operational System Based on the Assimilation of MODIS Aerosol Optical Depth in the MOCAGE Chemical Transport Model L. El Amraoui et al. https://doi.org/10.3390/rs14081949
947. 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. https://doi.org/10.1134/S001095252270006X
948. Ground/space, passive/active remote sensing observations coupled with particle dispersion modelling to understand the inter-continental transport of wildfire smoke plumes M. Sicard et al. https://doi.org/10.1016/j.rse.2019.111294
949. Variability of fire carbon emissions in equatorial Asia and its nonlinear sensitivity to El Niño Y. Yin et al. https://doi.org/10.1002/2016GL070971
950. Climatology and long-term evolution of ozone and carbon monoxide in the upper troposphere–lower stratosphere (UTLS) at northern midlatitudes, as seen by IAGOS from 1995 to 2013 Y. Cohen et al. https://doi.org/10.5194/acp-18-5415-2018
951. Forecasting Daily Wildfire Activity Using Poisson Regression C. Graff et al. https://doi.org/10.1109/TGRS.2020.2968029
952. Where Do Fires Burn More Intensely? Modeling and Mapping Maximum MODIS Fire Radiative Power from Aboveground Biomass by Fuel Type in Mexico D. Tinoco-Orozco et al. https://doi.org/10.3390/fire8020054
953. A Global Bottom‐Up Approach to Estimate Fuel Consumed by Fires Using Above Ground Biomass Observations F. Di Giuseppe et al. https://doi.org/10.1029/2021GL095452
954. Ground-based measurements of column-averaged carbon dioxide molar mixing ratios in a peatland fire-prone area of Central Kalimantan, Indonesia W. Iriana et al. https://doi.org/10.1038/s41598-018-26477-3
955. Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al. https://doi.org/10.1029/2022JD037298
956. The effect of South American biomass burning aerosol emissions on the regional climate G. Thornhill et al. https://doi.org/10.5194/acp-18-5321-2018
957. Formulation of parametric uncertainty forecasts towards operational wildfire smoke assimilation A. Vogel et al. https://doi.org/10.5194/npg-33-347-2026
958. Atmospheric trace gas trends obtained from FTIR column measurements in Toronto, Canada from 2002-2019 S. Yamanouchi et al. https://doi.org/10.1088/2515-7620/abfa65
959. Wildfires as Emerging Dominant Arctic and Subarctic Extremes J. Overland et al. https://doi.org/10.3390/cli14030065
960. Assessment of biomass burning smoke influence on environmental conditions for multiyear tornado outbreaks by combining aerosol‐aware microphysics and fire emission constraints P. Saide et al. https://doi.org/10.1002/2016JD025056
961. Prototype Downscaling Algorithm for MODIS Satellite 1 km Daytime Active Fire Detections S. Kumar et al. https://doi.org/10.3390/fire2020029
962. Potential fire risks in South America under anthropogenic forcing hidden by the Atlantic Multidecadal Oscillation Y. Wang & P. Huang https://doi.org/10.1038/s41467-022-30104-1
963. Transport of Biomass Burning Aerosol into the Extratropical Tropopause Region over Europe via Warm Conveyor Belt Uplift P. Joppe et al. https://doi.org/10.5194/acp-25-15077-2025
964. Exploring biases in the GISS ModelE Earth system model brown carbon representation with in-situ flight observations M. DeLessio et al. https://doi.org/10.5194/acp-26-7325-2026
965. Atmospheric inversion of SO2 and primary aerosol emissions for the year 2010 N. Huneeus et al. https://doi.org/10.5194/acp-13-6555-2013
966. Spatially modeling wildland fire severity in pine forests of Galicia, Spain J. Fernández-Alonso et al. https://doi.org/10.1007/s10342-016-1012-5
967. Modelling smoke distribution in the vicinity of a large and prolonged fire from an open-cut coal mine A. Luhar et al. https://doi.org/10.1016/j.atmosenv.2020.117471
968. Estimating emissions from agricultural fires in the North China Plain based on MODIS fire radiative power M. Liu et al. https://doi.org/10.1016/j.atmosenv.2015.04.058
969. 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. https://doi.org/10.5194/acp-21-17-2021
970. Global wildfire emissions and health impacts Y. Qin et al. https://doi.org/10.1016/j.ynexs.2026.100158
971. Long-term evaluation of surface air pollution in CAMSRA and MERRA-2 global reanalyses over Europe (2003–2020) A. Lacima et al. https://doi.org/10.5194/gmd-16-2689-2023
972. Improving Wet and Dry Deposition of Aerosols in WRF‐Chem: Updates to Below‐Cloud Scavenging and Coarse‐Particle Dry Deposition Y. Ryu & S. Min https://doi.org/10.1029/2021MS002792
973. CO2 emission of Indonesian fires in 2015 estimated from satellite‐derived atmospheric CO2 concentrations J. Heymann et al. https://doi.org/10.1002/2016GL072042
974. Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory C. Pöhlker et al. https://doi.org/10.5194/acp-19-8425-2019
975. Assessing the representation of the Australian carbon cycle in global vegetation models L. Teckentrup et al. https://doi.org/10.5194/bg-18-5639-2021
976. Wildfire burn severity and emissions inventory: an example implementation over California Q. Xu et al. https://doi.org/10.1088/1748-9326/ac80d0
977. Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0 T. Sekiya et al. https://doi.org/10.5194/gmd-11-959-2018
978. Emission factors of trace gases and particles from tropical savanna fires in Australia M. Desservettaz et al. https://doi.org/10.1002/2016JD025925
979. Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia Y. Fu et al. https://doi.org/10.1016/j.envint.2022.107498
980. SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al. https://doi.org/10.5194/gmd-11-3833-2018
981. Accelerated rise in wildfire carbon emissions from Arctic continuous permafrost X. Zhu et al. https://doi.org/10.1016/j.scib.2024.05.022
982. Seasonal Variation of Wet Deposition of Black Carbon in Arctic Alaska T. Mori et al. https://doi.org/10.1029/2019JD032240
983. How non-equilibrium aerosol chemistry impacts particle acidity: the GMXe AERosol CHEMistry (GMXe–AERCHEM, v1.0) sub-submodel of MESSy S. Rosanka et al. https://doi.org/10.5194/gmd-17-2597-2024
984. Impacts of aviation fuel sulfur content on climate and human health Z. Kapadia et al. https://doi.org/10.5194/acp-16-10521-2016
985. Influence of Fire on the Carbon Cycle and Climate G. Lasslop et al. https://doi.org/10.1007/s40641-019-00128-9
986. Fire carbon emissions over maritime southeast Asia in 2015 largest since 1997 V. Huijnen et al. https://doi.org/10.1038/srep26886
987. 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
988. Near-real time monitoring of burned area at global scale based on deep learning M. Padilla et al. https://doi.org/10.1080/01431161.2025.2528256
989. A Nation-by-Nation Assessment of the Contribution of Southeast Asian Open Biomass Burning to PM2.5 in Thailand Using the Community Multiscale Air Quality-Integrated Source Apportionment Method Model N. Chantaraprachoom et al. https://doi.org/10.3390/atmos15111358
990. Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. https://doi.org/10.5194/acp-21-5269-2021
991. Vegetation fires, absorbing aerosols and smoke plume characteristics in diverse biomass burning regions of Asia K. Vadrevu et al. https://doi.org/10.1088/1748-9326/10/10/105003
992. 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. https://doi.org/10.5194/acp-16-14421-2016
993. Advancing FRP Retrieval: Bridging Theory and Application W. Deng et al. https://doi.org/10.1109/TGRS.2024.3470538
994. Estimation of CO2 Emissions from Wildfires Using OCO-2 Data M. Guo et al. https://doi.org/10.3390/atmos10100581
995. Near-field emission profiling of tropical forest and Cerrado fires in Brazil during SAMBBA 2012 A. Hodgson et al. https://doi.org/10.5194/acp-18-5619-2018
996. Ground‐Based Field Measurements of PM2.5 Emission Factors From Flaming and Smoldering Combustion in Eucalypt Forests F. Reisen et al. https://doi.org/10.1029/2018JD028488
997. China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022 Z. Lin et al. https://doi.org/10.5194/gmd-18-2509-2025
998. The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation S. Wei et al. https://doi.org/10.5194/gmd-17-795-2024
999. Fire Radiative Power Correction and Spatiotemporal Fusion Based on MYD14 and VNP14IMG Y. Zheng et al. https://doi.org/10.3390/rs18101650
1000. Atmospheric deposition of biologically relevant trace metals in the eastern Adriatic coastal area A. Penezić et al. https://doi.org/10.1016/j.chemosphere.2021.131178