154 citations as recorded by crossref.

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19. Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
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21. Extreme air pollution events in Hokkaido, Japan, traced back to early snowmelt and large-scale wildfires over East Eurasia: Case studies T. Yasunari et al. 10.1038/s41598-018-24335-w
22. Emission of trace gases and aerosols from biomass burning – an updated assessment M. Andreae 10.5194/acp-19-8523-2019
23. Carbon dioxide and particulate emissions from the 2013 Tasmanian firestorm: implications for Australian carbon accounting M. Ndalila et al. 10.1186/s13021-022-00207-9
24. Development of an emission estimation method with satellite observations for significant forest fires and comparison with global fire emission inventories: Application to catastrophic fires of summer 2021 over the Eastern Mediterranean E. Bilgiç et al. 10.1016/j.atmosenv.2023.119871
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27. Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements P. Saide et al. 10.1029/2022GL099175
28. 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
29. 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
30. Mitigating Satellite‐Based Fire Sampling Limitations in Deriving Biomass Burning Emission Rates: Application to WRF‐Chem Model Over the Northern sub‐Saharan African Region J. Wang et al. 10.1002/2017JD026840
31. 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
32. Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models H. Lee et al. 10.5194/acp-16-6627-2016
33. Ammonia emissions in tropical biomass burning regions: Comparison between satellite-derived emissions and bottom-up fire inventories S. Whitburn et al. 10.1016/j.atmosenv.2015.03.015
34. Investigating Smoke Aerosol Emission Coefficients Using MODIS Active Fire and Aerosol Products: A Case Study in the CONUS and Indonesia X. Lu et al. 10.1029/2018JG004974
35. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
36. Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. 10.5194/gmd-8-549-2015
37. 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
38. Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products J. Li et al. 10.1016/j.jes.2015.08.024
39. Staying Ahead of the Epidemiologic Curve: Evaluation of the British Columbia Asthma Prediction System (BCAPS) During the Unprecedented 2018 Wildfire Season S. Henderson et al. 10.3389/fpubh.2021.499309
40. The impact of biomass burning emissions on protected natural areas in central and southern Mexico F. Trujano-Jiménez et al. 10.1007/s11356-020-12095-y
41. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. 10.1071/WF20140
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43. Smoke dispersion modeling over complex terrain using high resolution meteorological data and satellite observations – The FireHub platform S. Solomos et al. 10.1016/j.atmosenv.2015.08.066
44. The relationship between wind speed and satellite measurements of fire radiative power B. Potter & K. Tannhauser 10.1071/WF22177
45. Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations B. Fisher et al. 10.1016/j.atmosenv.2024.120459
46. Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
47. Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions Q. Zhong et al. 10.1038/s41467-022-33680-4
48. Status and quality evaluation of precursor emission inventories for PM<sub>2.5</sub> and ozone in China Z. Huang et al. 10.1360/TB-2021-0783
49. IASI-derived NH<sub>3</sub> enhancement ratios relative to CO for the tropical biomass burning regions S. Whitburn et al. 10.5194/acp-17-12239-2017
50. Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study T. Liu et al. 10.1016/j.rse.2019.111557
51. 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
52. 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
53. Global Emissions Inventory from Open Biomass Burning (GEIOBB): utilizing Fengyun-3D global fire spot monitoring data Y. Liu et al. 10.5194/essd-16-3495-2024
54. Influence of Meteorology and interrelationship with greenhouse gases (CO<sub>2</sub> and CH<sub>4</sub>) at a suburban site of India G. Sreenivas et al. 10.5194/acp-16-3953-2016
55. How Light‐Absorbing Properties of Organic Aerosol Modify the Asian Summer Monsoon Rainfall? J. Chu et al. 10.1002/2017JD027642
56. Methane Emissions in Boreal Forest Fire Regions: Assessment of Five Biomass-Burning Emission Inventories Based on Carbon Sensing Satellites S. Zhao et al. 10.3390/rs15184547
57. Tracking and classifying Amazon fire events in near real time N. Andela et al. 10.1126/sciadv.abd2713
58. 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
59. Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model M. Petrenko et al. 10.1002/2017JD026693
60. Satellite Detection Limitations of Sub-Canopy Smouldering Wildfires in the North American Boreal Forest J. Johnston et al. 10.3390/fire1020028
61. 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
62. Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al. 10.5194/acp-18-15261-2018
63. Advancing FRP Retrieval: Bridging Theory and Application W. Deng et al. 10.1109/TGRS.2024.3470538
64. 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. 10.5194/acp-23-2089-2023
65. Reviews and syntheses: Arctic fire regimes and emissions in the 21st century J. McCarty et al. 10.5194/bg-18-5053-2021
66. Wildfire burn severity and emissions inventory: an example implementation over California Q. Xu et al. 10.1088/1748-9326/ac80d0
67. Global climate change below 2 °C avoids large end century increases in burned area in Canada S. Curasi et al. 10.1038/s41612-024-00781-4
68. Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 Y. Xu et al. 10.1038/s41597-023-02541-0
69. The unusual stubble burning season of 2020 in northern India: a satellite perspective P. Gupta et al. 10.1080/01431161.2023.2277160
70. Detecting nighttime fire combustion phase by hybrid application of visible and infrared radiation from Suomi NPP VIIRS J. Wang et al. 10.1016/j.rse.2019.111466
71. Six global biomass burning emission datasets: intercomparison and application in one global aerosol model X. Pan et al. 10.5194/acp-20-969-2020
72. Human driven climate change increased the likelihood of the 2023 record area burned in Canada M. Kirchmeier-Young et al. 10.1038/s41612-024-00841-9
73. 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
74. Ammonia emissions from biomass burning in the continental United States C. Bray et al. 10.1016/j.atmosenv.2018.05.052
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76. A review of approaches to estimate wildfire plume injection height within large-scale atmospheric chemical transport models R. Paugam et al. 10.5194/acp-16-907-2016
77. Modeled and observed properties related to the direct aerosol radiative effect of biomass burning aerosol over the southeastern Atlantic S. Doherty et al. 10.5194/acp-22-1-2022
78. High Temporal Resolution Satellite Observations of Fire Radiative Power Reveal Link Between Fire Behavior and Aerosol and Gas Emissions E. Wiggins et al. 10.1029/2020GL090707
79. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
80. 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
81. 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
82. 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. 10.1029/2021JD035692
83. 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
84. Vast CO2 release from Australian fires in 2019–2020 constrained by satellite I. van der Velde et al. 10.1038/s41586-021-03712-y
85. 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. 10.1016/j.rse.2020.111947
86. Direct estimates of biomass burning NO<sub><i>x</i></sub> emissions and lifetimes using daily observations from TROPOMI X. Jin et al. 10.5194/acp-21-15569-2021
87. Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic K. Vadrevu et al. 10.1038/s41598-022-22834-5
88. Satellite‐Observed Impacts of Wildfires on Regional Atmosphere Composition and the Shortwave Radiative Forcing: A Multiple Case Study Y. Fu et al. 10.1029/2017JD027927
89. Evaluating Satellite Fire Detection Products and an Ensemble Approach for Estimating Burned Area in the United States A. Marsha & N. Larkin 10.3390/fire5050147
90. Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations H. Kim et al. 10.5194/acp-20-10259-2020
91. Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western U.S. Wildfires C. Stockwell et al. 10.1021/acs.est.1c07121
92. Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano 10.3390/rs9070744
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94. Near-real-time estimation of hourly open biomass burning emissions in China using multiple satellite retrievals Y. Xu et al. 10.1016/j.scitotenv.2021.152777
95. 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
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97. Advances in the estimation of high Spatio-temporal resolution pan-African top-down biomass burning emissions made using geostationary fire radiative power (FRP) and MAIAC aerosol optical depth (AOD) data H. Nguyen & M. Wooster 10.1016/j.rse.2020.111971
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99. Residential heating emissions (can) exceed paddy-residue burning emissions in rural northwest India H. Pawar & B. Sinha 10.1016/j.atmosenv.2021.118846
100. Sensitivity of solar irradiance to model parameters in cloud and aerosol treatments of WRF-solar Y. Liu et al. 10.1016/j.solener.2022.01.061
101. Evaluating secondary inorganic aerosols in three dimensions K. Mezuman et al. 10.5194/acp-16-10651-2016
102. Modeling and remote sensing of an indirect Pyro-Cb formation and biomass transport from Portugal wildfires towards Europe S. Solomos et al. 10.1016/j.atmosenv.2019.03.009
103. Development of a REgion‐Specific Ecosystem Feedback Fire (RESFire) Model in the Community Earth System Model Y. Zou et al. 10.1029/2018MS001368
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105. Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. 10.5194/acp-23-9495-2023
106. Influx of African biomass burning aerosol during the Amazonian dry season through layered transatlantic transport of black carbon-rich smoke B. Holanda et al. 10.5194/acp-20-4757-2020
107. Climatological analysis of aerosol optical properties over East Africa observed from space-borne sensors during 2001–2015 R. Boiyo et al. 10.1016/j.atmosenv.2016.12.050
108. Characterization of carbonaceous aerosols in Asian outflow in the spring of 2015: Importance of non-fossil fuel sources T. Miyakawa et al. 10.1016/j.atmosenv.2019.116858
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112. Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. 10.1525/elementa.2021.00050
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118. Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) G. Pereira et al. 10.1016/j.atmosenv.2022.118954
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124. Smoke emissions from agricultural fires in Mexico and Central America B. Rios & G. Raga 10.1117/1.JRS.13.036509
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128. Shortwave IR Adaption of the Mid-Infrared Radiance Method of Fire Radiative Power (FRP) Retrieval for Assessing Industrial Gas Flaring Output D. Fisher & M. Wooster 10.3390/rs10020305
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