189 citations as recorded by crossref.

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3. Development of UI-WRF-Chem (v1.0) for the MAIA satellite mission: case demonstration H. Zhang et al. https://doi.org/10.5194/gmd-18-9061-2025
4. Agreement Index for Burned Area Mapping: Integration of Multiple Spectral Indices Using Sentinel-2 Satellite Images D. Smiraglia et al. https://doi.org/10.3390/rs12111862
5. Use of geostationary and polar-orbiting satellites to estimate emissions from biomass burning in shifting cultivation prevalent areas of Northeast India M. Nonglait et al. https://doi.org/10.1007/s11356-025-36628-5
6. Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al. https://doi.org/10.3390/fire6110426
7. Development of a nighttime shortwave radiative transfer model for remote sensing of nocturnal aerosols and fires from VIIRS J. Wang et al. https://doi.org/10.1016/j.rse.2020.111727
8. Smoke emissions from the extreme wildfire events in central Portugal in October 2017 A. Fernandes et al. https://doi.org/10.1071/WF21097
9. Biomass Burning in Africa: An Investigation of Fire Radiative Power Missed by MODIS Using the 375 m VIIRS Active Fire Product F. Li et al. https://doi.org/10.3390/rs12101561
10. 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
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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
15. Review of agricultural biomass burning and its impact on air quality in the continental United States of America S. Pinakana et al. https://doi.org/10.1016/j.envadv.2024.100546
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17. 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. https://doi.org/10.1016/j.atmosenv.2023.119871
18. Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements P. Saide et al. https://doi.org/10.1029/2022GL099175
19. 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. https://doi.org/10.1002/2017JD027415
20. 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
21. 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. https://doi.org/10.1002/2017JD026840
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
24. Wildfire smoke-related PM2.5 concentration measurements, perceived indoor air quality, and health symptoms among Southern California residents during the 2025 Los Angeles wildfires: A latent class mediation approach R. Lee et al. https://doi.org/10.1016/j.envint.2026.110207
25. 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 https://doi.org/10.1016/j.rse.2017.12.016
26. Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products J. Li et al. https://doi.org/10.1016/j.jes.2015.08.024
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
29. Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. https://doi.org/10.5194/acp-17-2921-2017
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
39. 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. https://doi.org/10.3390/sym14101989
40. 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. https://doi.org/10.1016/j.rse.2019.111600
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
46. Global climate change below 2 °C avoids large end century increases in burned area in Canada S. Curasi et al. https://doi.org/10.1038/s41612-024-00781-4
47. 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
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
61. 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
62. 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
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
65. Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano https://doi.org/10.3390/rs9070744
66. Near-real-time estimation of hourly open biomass burning emissions in China using multiple satellite retrievals Y. Xu et al. https://doi.org/10.1016/j.scitotenv.2021.152777
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
71. Climatological analysis of aerosol optical properties over East Africa observed from space-borne sensors during 2001–2015 R. Boiyo et al. https://doi.org/10.1016/j.atmosenv.2016.12.050
72. Relevance of earth observations of essential climate variables in wildfire adaptation S. Seitzinger et al. https://doi.org/10.1016/j.rse.2025.115082
73. Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades G. Mataveli et al. https://doi.org/10.3390/f12091217
74. 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
75. Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. https://doi.org/10.1525/elementa.2021.00050
76. Improved estimation of fire particulate emissions using a combination of VIIRS and AHI data for Indonesia during 2015–2020 X. Lu et al. https://doi.org/10.1016/j.rse.2022.113238
77. Global fire emissions estimates during 1997–2016 G. van der Werf et al. https://doi.org/10.5194/essd-9-697-2017
78. Biomass burning aerosols characterization from ground based and profiling measurements C. Marin et al. https://doi.org/10.1051/epjconf/201817608013
79. 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
80. 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
81. Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5) Y. Chen et al. https://doi.org/10.5194/essd-15-5227-2023
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83. 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
84. The Effect of Combustion Conditions on Emissions of Elemental Carbon and Organic Carbon and Formation of Secondary Organic Carbon in Simulated Wildland Fires R. Penland et al. https://doi.org/10.1021/acsestair.4c00300
85. 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
86. Greenhouse gas emissions from agricultural residue burning have increased by 75 % since 2011 across India M. Deshpande et al. https://doi.org/10.1016/j.scitotenv.2023.166944
87. 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 https://doi.org/10.3390/rs10020305
88. Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke L. Li et al. https://doi.org/10.1016/j.envint.2020.106143
89. The Fire Inventory from NCAR version 2.5: an updated global fire emissions model for climate and chemistry applications C. Wiedinmyer et al. https://doi.org/10.5194/gmd-16-3873-2023
90. Particulate emissions from large North American wildfires estimated using a new top-down method T. Nikonovas et al. https://doi.org/10.5194/acp-17-6423-2017
91. Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0) G. Ferrada et al. https://doi.org/10.5194/gmd-15-8085-2022
92. Comparing geostationary and polar-orbiting satellite sensor estimates of Fire Radiative Power (FRP) during the Black Summer Fires (2019–2020) in south-eastern Australia K. Chatzopoulos-Vouzoglanis et al. https://doi.org/10.1071/WF21144
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100. Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. https://doi.org/10.5194/acp-19-12545-2019
101. 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
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105. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al. https://doi.org/10.5194/gmd-17-8751-2024
106. Development of aerosol activation in the double-moment Unified Model and evaluation with CLARIFY measurements H. Gordon et al. https://doi.org/10.5194/acp-20-10997-2020
107. Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. https://doi.org/10.1029/2022RG000796
108. Land Cover Disaggregated Fire Occurrence and Particulate Matter2.5 Relationship in the Mekong Region: A Comprehensive Study N. Adaktylou et al. https://doi.org/10.3390/ijgi13060206
109. Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. https://doi.org/10.5194/acp-24-12225-2024
110. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. https://doi.org/10.1016/j.rse.2021.112694
111. 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. https://doi.org/10.1038/s41598-018-24335-w
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113. Emission of trace gases and aerosols from biomass burning – an updated assessment M. Andreae https://doi.org/10.5194/acp-19-8523-2019
114. 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
115. Satellite-detected large CO2 release in southwestern North America during the 2020–2021 drought and associated wildfires H. Chen et al. https://doi.org/10.1088/1748-9326/ad3cf7
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119. Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories M. Petrenko et al. https://doi.org/10.5194/acp-25-1545-2025
120. Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models H. Lee et al. https://doi.org/10.5194/acp-16-6627-2016
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124. Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. https://doi.org/10.5194/gmd-8-549-2015
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133. 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
134. Methane Emissions in Boreal Forest Fire Regions: Assessment of Five Biomass-Burning Emission Inventories Based on Carbon Sensing Satellites S. Zhao et al. https://doi.org/10.3390/rs15184547
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143. Modeled and observed properties related to the direct aerosol radiative effect of biomass burning aerosol over the southeastern Atlantic S. Doherty et al. https://doi.org/10.5194/acp-22-1-2022
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