108 citations as recorded by crossref.

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4. Spatiotemporal Variations and Uncertainty in Crop Residue Burning Emissions over North China Plain: Implication for Atmospheric CO2 Simulation Y. Fu et al. 10.3390/rs13193880
5. Development of a nighttime shortwave radiative transfer model for remote sensing of nocturnal aerosols and fires from VIIRS J. Wang et al. 10.1016/j.rse.2020.111727
6. 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. 10.3390/rs12101561
7. Development of aerosol activation in the double-moment Unified Model and evaluation with CLARIFY measurements H. Gordon et al. 10.5194/acp-20-10997-2020
8. The interactive global fire module pyrE (v1.0) K. Mezuman et al. 10.5194/gmd-13-3091-2020
9. Light-absorbing particles in snow and ice: Measurement and modeling of climatic and hydrological impact Y. Qian et al. 10.1007/s00376-014-0010-0
10. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. 10.1016/j.rse.2021.112694
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12. Emission of trace gases and aerosols from biomass burning – an updated assessment M. Andreae 10.5194/acp-19-8523-2019
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15. 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
16. 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
17. 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
18. 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
19. 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
20. 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
21. Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. 10.5194/gmd-8-549-2015
22. 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
23. 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
24. 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
25. 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
26. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. 10.1071/WF20140
27. 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
28. Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
29. Development and demonstration of a Lagrangian dispersion modeling system for real-time prediction of smoke haze pollution from biomass burning in Southeast Asia D. Hertwig et al. 10.1002/2015JD023422
30. 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
31. 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
32. 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
33. 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
34. 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
35. How Light-Absorbing Properties of Organic Aerosol Modify the Asian Summer Monsoon Rainfall? J. Chu et al. 10.1002/2017JD027642
36. Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model M. Petrenko et al. 10.1002/2017JD026693
37. Satellite Detection Limitations of Sub-Canopy Smouldering Wildfires in the North American Boreal Forest J. Johnston et al. 10.3390/fire1020028
38. 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
39. Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al. 10.5194/acp-18-15261-2018
40. Reviews and syntheses: Arctic fire regimes and emissions in the 21st century J. McCarty et al. 10.5194/bg-18-5053-2021
41. 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
42. Six global biomass burning emission datasets: intercomparison and application in one global aerosol model X. Pan et al. 10.5194/acp-20-969-2020
43. Ammonia emissions from biomass burning in the continental United States C. Bray et al. 10.1016/j.atmosenv.2018.05.052
44. Satellite Monitoring for Air Quality and Health T. Holloway et al. 10.1146/annurev-biodatasci-110920-093120
45. 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
46. 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
47. 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
48. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
49. 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
50. 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
51. 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
52. 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
53. Vast CO2 release from Australian fires in 2019–2020 constrained by satellite I. van der Velde et al. 10.1038/s41586-021-03712-y
54. 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
55. 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
56. 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
57. 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
58. Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano 10.3390/rs9070744
59. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
60. Delhi Model with Chemistry and aerosol framework ( DM‐Chem ) for high‐resolution fog forecasting A. Jayakumar et al. 10.1002/qj.4163
61. 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
62. 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
63. Intercomparison of MODIS AQUA and VIIRS I-Band Fires and Emissions in an Agricultural Landscape—Implications for Air Pollution Research K. Vadrevu & K. Lasko 10.3390/rs10070978
64. 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
65. Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
66. Residential heating emissions (can) exceed paddy-residue burning emissions in rural northwest India H. Pawar & B. Sinha 10.1016/j.atmosenv.2021.118846
67. 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
68. Evaluating secondary inorganic aerosols in three dimensions K. Mezuman et al. 10.5194/acp-16-10651-2016
69. 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
70. Development of a REgion‐Specific Ecosystem Feedback Fire (RESFire) Model in the Community Earth System Model Y. Zou et al. 10.1029/2018MS001368
71. 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
72. 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
73. 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
74. Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades G. Mataveli et al. 10.3390/f12091217
75. A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging M. Val Martin et al. 10.3390/rs10101609
76. Bottom-up emission inventories of multiple air pollutants from open straw burning: A case study of Jiangsu province, Eastern China L. Li et al. 10.1016/j.apr.2018.09.011
77. Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. 10.1525/elementa.2021.00050
78. Global fire emissions estimates during 1997–2016 G. van der Werf et al. 10.5194/essd-9-697-2017
79. Biomass burning aerosols characterization from ground based and profiling measurements C. Marin et al. 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. 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. 10.5194/acp-20-11491-2020
82. 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
83. 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
84. Smoke emissions from agricultural fires in Mexico and Central America B. Rios & G. Raga 10.1117/1.JRS.13.036509
85. A Global Bottom‐Up Approach to Estimate Fuel Consumed by Fires Using Above Ground Biomass Observations F. Di Giuseppe et al. 10.1029/2021GL095452
86. Highly anomalous fire emissions from the 2019–2020 Australian bushfires F. Li et al. 10.1088/2515-7620/ac2e6f
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 10.3390/rs10020305
88. Inferring Polluted Asian Absorbing Aerosol Properties Using Decadal Scale AERONET Measurements and a MIE Model S. Wang et al. 10.1029/2021GL094300
89. Characterization and Trends of Fine Particulate Matter (PM2.5) Fire Emissions in the Brazilian Cerrado during 2002–2017 G. Mataveli et al. 10.3390/rs11192254
90. Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke L. Li et al. 10.1016/j.envint.2020.106143
91. Ensemble PM 2.5 Forecasting During the 2018 Camp Fire Event Using the HYSPLIT Transport and Dispersion Model Y. Li et al. 10.1029/2020JD032768
92. Particulate emissions from large North American wildfires estimated using a new top-down method T. Nikonovas et al. 10.5194/acp-17-6423-2017
93. Interannual climate variation, land type and village livelihood effects on fires in Kalimantan, Indonesia T. Santika et al. 10.1016/j.gloenvcha.2020.102129
94. An evaluation of advanced baseline imager fire radiative power based wildfire emissions using carbon monoxide observed by the Tropospheric Monitoring Instrument across the conterminous United States F. Li et al. 10.1088/1748-9326/ab9d3a
95. Satellite‐based top‐down Lagrangian approach to quantify aerosol emissions over California S. Nizar & B. Dodamani 10.1002/qj.3756
96. Biomass Burning and Water Balance Dynamics in the Lake Chad Basin in Africa F. Black et al. 10.3390/earth2020020
97. Investigating dominant characteristics of fires across the Amazon during 2005-2014 through satellite data synthesis of combustion signatures W. Tang & A. Arellano 10.1002/2016JD025216
98. Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products T. Liu et al. 10.1088/2515-7620/ab056c
99. NU-WRF Aerosol Transport Simulation over West Africa: Effects of Biomass Burning on Smoke Aerosol Distribution T. Iguchi et al. 10.1175/JAMC-D-17-0278.1
100. Trends in Vegetation fires in South and Southeast Asian Countries K. Vadrevu et al. 10.1038/s41598-019-43940-x
101. Progress and Challenges in Quantifying Wildfire Smoke Emissions, Their Properties, Transport, and Atmospheric Impacts I. Sokolik et al. 10.1029/2018JD029878
102. Drainage canal impacts on smoke aerosol emissions for Indonesian peatland and non-peatland fires X. Lu et al. 10.1088/1748-9326/ac2011
103. Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States F. Li et al. 10.1016/j.atmosenv.2019.05.017
104. Biomass burning aerosol over Romania using dispersion model and Calipso data V. Nicolae et al. 10.1051/epjconf/201817604012
105. Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region F. Zhang et al. 10.1088/1748-9326/9/7/075002
106. Multi-year MODIS active fire type classification over the Brazilian Tropical Moist Forest Biome D. Roy & S. Kumar 10.1080/17538947.2016.1208686
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108. Correcting Swath-Dependent Bias of MODIS FRP Observations With Quantile Mapping I. Kaur et al. 10.3390/rs11101205