128 citations as recorded by crossref.

1. Using CESM-RESFire to understand climate–fire–ecosystem interactions and the implications for decadal climate variability Y. Zou et al. 10.5194/acp-20-995-2020
2. Evidence of a dual African and Australian biomass burning influence on the vertical distribution of aerosol and carbon monoxide over the southwest Indian Ocean basin in early 2020 N. Bègue et al. 10.5194/acp-24-8031-2024
3. Evaluation of the performance of four chemical transport models in predicting the aerosol chemical composition in Europe in 2005 M. Prank et al. 10.5194/acp-16-6041-2016
4. Lagrangian simulation of smoke plume from fire and validation using ground-based lidar and aircraft measurements E. Ferrero et al. 10.1016/j.atmosenv.2019.06.049
5. Assessing Vertical Allocation of Wildfire Smoke Emissions Using Observational Constraints From Airborne Lidar in the Western U.S. X. Ye et al. 10.1029/2022JD036808
6. Vertical distribution of aerosols over the Maritime Continent during El Niño J. Cohen et al. 10.5194/acp-18-7095-2018
7. Regarding the data inconsistency from different data sources on emissions and ground-level pollutants’ concentrations in the atmospheric air over Ukraine M. Savenets et al. 10.15407/Meteorology2024.06.017
8. Global mapping of maximum emission heights and resulting vertical profiles of wildfire emissions M. Sofiev et al. 10.5194/acp-13-7039-2013
9. Effects of the wildfires in August 2021 on the air quality of Athens through a numerical simulation T. Osswald et al. 10.1071/WF22148
10. Estimation of black carbon emissions from Siberian fires using satellite observations of absorption and extinction optical depths I. Konovalov et al. 10.5194/acp-18-14889-2018
11. Simulating spatio-temporal dynamics of surface PM2.5 emitted from Alaskan wildfires D. Chen et al. 10.1016/j.scitotenv.2023.165594
12. Emulating Wildfire Plume Injection Using Machine Learning Trained by Large Eddy Simulation (LES) S. Wang 10.1021/acs.est.4c05095
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15. 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
16. Widespread biomass burning smoke throughout the remote troposphere G. Schill et al. 10.1038/s41561-020-0586-1
17. Quantifying pyroconvective injection heights using observations of fire energy: sensitivity of spaceborne observations of carbon monoxide S. Gonzi et al. 10.5194/acp-15-4339-2015
18. 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
19. Global population exposure to landscape fire air pollution from 2000 to 2019 R. Xu et al. 10.1038/s41586-023-06398-6
20. Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire X. Ye et al. 10.5194/acp-21-14427-2021
21. Fire-spotting generated fires. Part II: The role of flame geometry and slope V. Egorova et al. 10.1016/j.apm.2021.11.010
22. Differential Effects of the COVID-19 Lockdown and Regional Fire on the Air Quality of Medellín, Colombia J. Henao et al. 10.3390/atmos12091137
23. Fire–climate interactions through the aerosol radiative effect in a global chemistry–climate–vegetation model C. Tian et al. 10.5194/acp-22-12353-2022
24. A bottom-up emission estimate for the 2022 Nord Stream gas leak: derivation, simulations, and evaluation R. Kouznetsov et al. 10.5194/acp-24-4675-2024
25. Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 P. Campbell et al. 10.5194/gmd-15-3281-2022
26. Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study M. López-De-Castro et al. 10.1016/j.agrformet.2024.109989
27. 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
28. Wildfire smoke-plume rise: a simple energy balance parameterization N. Moisseeva & R. Stull 10.5194/acp-21-1407-2021
29. Global Wildfire Plume‐Rise Data Set and Parameterizations for Climate Model Applications Z. Ke et al. 10.1029/2020JD033085
30. Wildfire plumes in the Western US are reaching greater heights and injecting more aerosols aloft as wildfire activity intensifies T. Wilmot et al. 10.1038/s41598-022-16607-3
31. Fires as a source of annual ambient PM2.5 exposure and chronic health impacts in Europe S. Chowdhury et al. 10.1016/j.scitotenv.2024.171314
32. Wildfires in a warmer climate: Emission fluxes, emission heights, and black carbon concentrations in 2090–2099 A. Veira et al. 10.1002/2015JD024142
33. Fire emission heights in the climate system – Part 1: Global plume height patterns simulated by ECHAM6-HAM2 A. Veira et al. 10.5194/acp-15-7155-2015
34. Estimating Wildfire Smoke Concentrations during the October 2017 California Fires through BME Space/Time Data Fusion of Observed, Modeled, and Satellite-Derived PM2.5 S. Cleland et al. 10.1021/acs.est.0c03761
35. LSA SAF Meteosat FRP products – Part 2: Evaluation and demonstration for use in the Copernicus Atmosphere Monitoring Service (CAMS) G. Roberts et al. 10.5194/acp-15-13241-2015
36. 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. 10.5194/gmd-12-4627-2019
37. Impacts of elevated anthropogenic emissions on physicochemical characteristics of black-carbon-containing particles over the Tibetan Plateau J. Wang et al. 10.5194/acp-24-11063-2024
38. Origins and characterization of CO and O3 in the African upper troposphere V. Lannuque et al. 10.5194/acp-21-14535-2021
39. Impact of Wildfires on Mineral Dust Emissions in Europe L. Menut et al. 10.1029/2022JD037395
40. Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign B. Johnson et al. 10.5194/acp-16-14657-2016
41. Nonlinear behavior of organic aerosol in biomass burning plumes: a microphysical model analysis I. Konovalov et al. 10.5194/acp-19-12091-2019
42. Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis Y. Yu et al. 10.5194/acp-19-363-2019
43. Airborne verification of CALIPSO products over the Amazon: a case study of daytime observations in a complex atmospheric scene F. Marenco et al. 10.5194/acp-14-11871-2014
44. HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts C. Whaley et al. 10.5194/gmd-18-3265-2025
45. Three-Dimensional Distribution of Biomass Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations F. Lemmouchi et al. 10.3390/rs14112582
46. 24 h Evolution of an Exceptional HONO Plume Emitted by the Record-Breaking 2019/2020 Australian Wildfire Tracked from Space G. Dufour et al. 10.3390/atmos13091485
47. Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019 X. Shang et al. 10.5194/acp-24-1329-2024
48. Inverse Modeling of Nitrogen Oxides Emissions from the 2010 Russian Wildfires by Using Satellite Measurements of Nitrogen Dioxide E. Berezin et al. 10.3390/atmos7100132
49. Simulating the Black Saturday 2009 smoke plume with an interactive composition‐climate model: Sensitivity to emissions amount, timing, and injection height R. Field et al. 10.1002/2015JD024343
50. The 2017 Mega-Fires in Central Chile: Impacts on Regional Atmospheric Composition and Meteorology Assessed from Satellite Data and Chemistry-Transport Modeling R. Lapere et al. 10.3390/atmos12030344
51. Wildfire air pollution hazard during the 21st century W. Knorr et al. 10.5194/acp-17-9223-2017
52. 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. 10.5194/acp-21-357-2021
53. Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights X. Feng et al. 10.5194/acp-24-2985-2024
54. How consistent are top-down hydrocarbon emissions based on formaldehyde observations from GOME-2 and OMI? T. Stavrakou et al. 10.5194/acp-15-11861-2015
55. Fire-spotting generated fires. Part I: The role of atmospheric stability V. Egorova et al. 10.1016/j.apm.2019.02.010
56. Evaluating Chemical Transport and Machine Learning Models for Wildfire Smoke PM2.5: Implications for Assessment of Health Impacts M. Qiu et al. 10.1021/acs.est.4c05922
57. The Spotting Distribution of Wildfires J. Martin & T. Hillen 10.3390/app6060177
58. On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators A. Trucchia et al. 10.1016/j.cnsns.2019.02.002
59. Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean M. Ooi et al. 10.5194/acp-21-12521-2021
60. Impact of biomass burning on pollutant surface concentrations in megacities of the Gulf of Guinea L. Menut et al. 10.5194/acp-18-2687-2018
61. Estimating wildfire-generated ozone over North America using ozonesonde profiles and a differential back trajectory technique O. Moeini et al. 10.1016/j.aeaoa.2020.100078
62. 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
63. An Analysis of Prescribed Fire Activities and Emissions in the Southeastern United States from 2013 to 2020 Z. Li et al. 10.3390/rs15112725
64. 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. 10.1002/2017GL074215
65. Ensemble PM2.5 Forecasting During the 2018 Camp Fire Event Using the HYSPLIT Transport and Dispersion Model Y. Li et al. 10.1029/2020JD032768
66. 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
67. On the vertical distribution of smoke in the Amazonian atmosphere during the dry season F. Marenco et al. 10.5194/acp-16-2155-2016
68. Smoke plume from fire Lagrangian simulation: dependence on drag coefficient and resolution B. Tenti & E. Ferrero 10.1007/s11869-023-01494-y
69. Heat flux assumptions contribute to overestimation of wildfire smoke injection into the free troposphere L. Thapa et al. 10.1038/s43247-022-00563-x
70. Updates and evaluation of NOAA's online-coupled air quality model version 7 (AQMv7) within the Unified Forecast System W. Li et al. 10.5194/gmd-18-1635-2025
71. Isolating and Investigating Updrafts Induced by Wildland Fires Using an Airborne Doppler Lidar During FIREX‐AQ E. Strobach et al. 10.1029/2023JD038809
72. Reviewing the links and feedbacks between climate change and air pollution in Europe U. Im et al. 10.3389/fenvs.2022.954045
73. Projected increases in wildfires may challenge regulatory curtailment of PM2.5 over the eastern US by 2050 C. Sarangi et al. 10.5194/acp-23-1769-2023
74. Estimates of the Height of Rise and Buoyancy of Smoke Plumes from High Chimneys of Thermal Power Plants from Satellite Information V. Raputa et al. 10.1134/S1024856023060167
75. Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev) Y. Li et al. 10.5194/acp-23-3083-2023
76. Predicting the minimum height of forest fire smoke within the atmosphere using machine learning and data from the CALIPSO satellite J. Yao et al. 10.1016/j.rse.2017.12.027
77. Severe Californian wildfires in November 2018 observed from space: the carbon monoxide perspective O. Schneising et al. 10.5194/acp-20-3317-2020
78. 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
79. Widespread trace bromine and iodine in remote tropospheric non-sea-salt aerosols G. Schill et al. 10.5194/acp-25-45-2025
80. Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian Biomass Burning Plumes I. Konovalov et al. 10.3390/rs14112625
81. 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
82. Enviro-HIRLAM online integrated meteorology–chemistry modelling system: strategy, methodology, developments and applications (v7.2) A. Baklanov et al. 10.5194/gmd-10-2971-2017
83. Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0) D. Hamilton et al. 10.5194/gmd-12-3835-2019
84. 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
85. Optimizing Smoke and Plume Rise Modeling Approaches at Local Scales D. Mallia et al. 10.3390/atmos9050166
86. Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. 10.5194/gmd-16-4835-2023
87. 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. 10.5194/acp-15-13269-2015
88. Positive feedback to regional climate enhances African wildfires A. Zhang et al. 10.1016/j.isci.2023.108533
89. Long-term high frequency measurements of ethane, benzene and methyl chloride at Ragged Point, Barbados: Identification of long-range transport events A. Archibald et al. 10.12952/journal.elementa.000068
90. Detection and attribution of wildfire pollution in the Arctic and northern midlatitudes using a network of Fourier-transform infrared spectrometers and GEOS-Chem E. Lutsch et al. 10.5194/acp-20-12813-2020
91. 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. 10.1029/2022JD037298
92. Smoke Injection Heights from Forest and Grassland Fires in Southwest China Observed by CALIPSO W. Wang et al. 10.3390/f13030390
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95. Aerosol Distribution Due to Wildfire in Sumatra, Indonesia Considered from Model Simulation M. Nakata & S. Mukai 10.3390/rs17101657
96. Influence of open vegetation fires on black carbon and ozone variability in the southern Himalayas (NCO-P, 5079 m a.s.l.) D. Putero et al. 10.1016/j.envpol.2013.09.035
97. An emergency response model for the formation and dispersion of plumes originating from major fires (BUOYANT v4.20) J. Kukkonen et al. 10.5194/gmd-15-4027-2022
98. 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. 10.5194/acp-14-10383-2014
99. Radiative effects of absorbing aerosols over northeastern India: Observations and model simulations M. Gogoi et al. 10.1002/2016JD025592
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101. Evaluating a fire smoke simulation algorithm in the National Air Quality Forecast Capability (NAQFC) by using multiple observation data sets during the Southeast Nexus (SENEX) field campaign L. Pan et al. 10.5194/gmd-13-2169-2020
102. Fire evolution in the radioactive forests of Ukraine and Belarus: future risks for the population and the environment N. Evangeliou et al. 10.1890/14-1227.1
103. 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
104. Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. 10.5194/acp-18-10615-2018
105. Wind and plume thermodynamic structures during low-intensity subcanopy fires D. Seto et al. 10.1016/j.agrformet.2014.07.006
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111. Top-down CO emission estimates using TROPOMI CO data in the TM5-4DVAR (r1258) inverse modeling suit J. Nüß et al. 10.5194/gmd-18-2861-2025
112. Sensitivity of tropospheric loads and lifetimes of short lived pollutants to fire emissions N. Daskalakis et al. 10.5194/acp-15-3543-2015
113. Incorporating an Interactive Fire Plume‐Rise Model in the DOE's Energy Exascale Earth System Model Version 1 (E3SMv1) and Examining Aerosol Radiative Effect Z. Lu et al. 10.1029/2023MS003818
114. A flexible and robust neural network IASI‐NH3 retrieval algorithm S. Whitburn et al. 10.1002/2016JD024828
115. The Alberta smoke plume observation study K. Anderson et al. 10.5194/essd-10-325-2018
116. Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models S. Wang et al. 10.5194/acp-20-15401-2020
117. 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. 10.5194/acp-15-8539-2015
118. Mortality due to Vegetation Fire–Originated PM 2.5 Exposure in Europe—Assessment for the Years 2005 and 2008 V. Kollanus et al. 10.1289/EHP194
119. Upper Troposphere Smoke Injection From Large Areal Fires S. Redfern et al. 10.1029/2020JD034332
120. The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03 J. Chen et al. 10.5194/gmd-12-3283-2019
121. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. 10.1071/WF20140
122. Modeling atmospheric brown carbon in the GISS ModelE Earth system model M. DeLessio et al. 10.5194/acp-24-6275-2024
123. Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
124. Comparing the height and area of wild and prescribed fire particle plumes in south-east Australia using weather radar O. Price et al. 10.1071/WF17166
125. Evaluation of 137cs, 133xe and 3h Activity Concentrations Monitored in the Arctic Atmosphere W. Zhang et al. 10.2139/ssrn.4133598
126. Impact of Landes forest fires on air quality in France during the 2022 summer L. Menut et al. 10.5194/acp-23-7281-2023
127. Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
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