195 citations as recorded by crossref.

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12. Satellite-borne identification and quantification of wildfire smoke emissions in North America via a novel UV-based index Z. Suo et al. https://doi.org/10.1016/j.atmosenv.2025.121069
13. The interactive global fire module pyrE (v1.0) K. Mezuman et al. https://doi.org/10.5194/gmd-13-3091-2020
14. Light-absorbing particles in snow and ice: Measurement and modeling of climatic and hydrological impact Y. Qian et al. https://doi.org/10.1007/s00376-014-0010-0
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22. Crop residue burning practices across north India inferred from household survey data: Bridging gaps in satellite observations T. Liu et al. https://doi.org/10.1016/j.aeaoa.2020.100091
23. Particulate and Gas Emissions from Wildfires in the Southern Amazon, from 2020 to 2022, from GOES-16 Fire Radiative Power Retrievals T. da Nobrega & A. Correia https://doi.org/10.1021/acsestair.4c00209
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27. The impact of biomass burning emissions on protected natural areas in central and southern Mexico F. Trujano-Jiménez et al. https://doi.org/10.1007/s11356-020-12095-y
28. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. https://doi.org/10.1071/WF20140
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30. 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
31. Status and quality evaluation of precursor emission inventories for PM<sub>2.5</sub> and ozone in China Z. Huang et al. https://doi.org/10.1360/TB-2021-0783
32. 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
33. Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study T. Liu et al. https://doi.org/10.1016/j.rse.2019.111557
34. Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models S. Wang et al. https://doi.org/10.5194/acp-20-15401-2020
35. 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
36. Influence of Meteorology and interrelationship with greenhouse gases (CO2 and CH4) at a suburban site of India G. Sreenivas et al. https://doi.org/10.5194/acp-16-3953-2016
37. Adverse Birth Outcomes Associated with Heat Stress and Wildfire Smoke Exposure During Preconception and Pregnancy R. Khalili et al. https://doi.org/10.1021/acs.est.4c10194
38. How Light‐Absorbing Properties of Organic Aerosol Modify the Asian Summer Monsoon Rainfall? J. Chu et al. https://doi.org/10.1002/2017JD027642
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41. Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al. https://doi.org/10.5194/acp-18-15261-2018
42. Advancing FRP Retrieval: Bridging Theory and Application W. Deng et al. https://doi.org/10.1109/TGRS.2024.3470538
43. 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
44. Reviews and syntheses: Arctic fire regimes and emissions in the 21st century J. McCarty et al. https://doi.org/10.5194/bg-18-5053-2021
45. Wildfire burn severity and emissions inventory: an example implementation over California Q. Xu et al. https://doi.org/10.1088/1748-9326/ac80d0
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48. Divergent trajectories of global fires: Overall decline, regional intensification X. Chen et al. https://doi.org/10.1016/j.accre.2026.02.011
49. Human driven climate change increased the likelihood of the 2023 record area burned in Canada M. Kirchmeier-Young et al. https://doi.org/10.1038/s41612-024-00841-9
50. Optical properties of biomass burning aerosol during the 2021 Oregon fire season: comparison between wild and prescribed fires A. Marsavin et al. https://doi.org/10.1039/D2EA00118G
51. Satellite Monitoring for Air Quality and Health T. Holloway et al. https://doi.org/10.1146/annurev-biodatasci-110920-093120
52. 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
53. The Fire Modeling Intercomparison Project (FireMIP) for CMIP7 F. Li et al. https://doi.org/10.5194/gmd-19-3989-2026
54. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. https://doi.org/10.1029/2019RG000652
55. Uncovering transport, deposition and impact of radionuclides released after the early spring 2020 wildfires in the Chernobyl Exclusion Zone N. Evangeliou & S. Eckhardt https://doi.org/10.1038/s41598-020-67620-3
56. Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States Y. Li et al. https://doi.org/10.1029/2021GL094908
57. Top-Down Estimation of Particulate Matter Emissions from Extreme Tropical Peatland Fires Using Geostationary Satellite Fire Radiative Power Observations D. Fisher et al. https://doi.org/10.3390/s20247075
58. 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
59. Direct estimates of biomass burning NOx emissions and lifetimes using daily observations from TROPOMI X. Jin et al. https://doi.org/10.5194/acp-21-15569-2021
60. Major improvements in spaceborne early fire detection and small-fire FRP retrieval with the meteosat third generation flexible combined imager W. Xu et al. https://doi.org/10.1016/j.srs.2026.100366
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63. Beyond binary maps from HCHO∕NO2: a deep neural network approach to global daily mapping of net ozone production rates and sensitivities constrained by satellite observations (2005–2023) A. Souri et al. https://doi.org/10.5194/acp-26-809-2026
64. 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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67. Using multispectral information and machine learning to improve daytime fire radiative power estimation from METImage measurements Y. Gu et al. https://doi.org/10.1016/j.ecoinf.2025.103358
68. How Do Emission Factors Contribute to the Uncertainty in Biomass Burning Emissions in the Amazon and Cerrado? G. Mataveli et al. https://doi.org/10.3390/atmos16040423
69. Sensitivity of solar irradiance to model parameters in cloud and aerosol treatments of WRF-solar Y. Liu et al. https://doi.org/10.1016/j.solener.2022.01.061
70. Modeling and remote sensing of an indirect Pyro-Cb formation and biomass transport from Portugal wildfires towards Europe S. Solomos et al. https://doi.org/10.1016/j.atmosenv.2019.03.009
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73. Global wildfire emissions and health impacts Y. Qin et al. https://doi.org/10.1016/j.ynexs.2026.100158
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75. A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging M. Val Martin et al. https://doi.org/10.3390/rs10101609
76. Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. https://doi.org/10.1525/elementa.2021.00050
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78. Global fire emissions estimates during 1997–2016 G. van der Werf et al. https://doi.org/10.5194/essd-9-697-2017
79. Biomass burning aerosols characterization from ground based and profiling measurements C. Marin et al. https://doi.org/10.1051/epjconf/201817608013
80. How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. https://doi.org/10.3390/rs10091326
81. Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016 Y. Shinozuka et al. https://doi.org/10.5194/acp-20-11491-2020
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117. Carbon dioxide and particulate emissions from the 2013 Tasmanian firestorm: implications for Australian carbon accounting M. Ndalila et al. https://doi.org/10.1186/s13021-022-00207-9
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