40 citations as recorded by crossref.

1. 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
2. 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
3. Recent fire occurrence and associated emissions in Southern Brazil N. Teixeira et al. 10.1007/s11869-024-01681-5
4. 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
5. Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al. 10.3390/fire6110426
6. Six global biomass burning emission datasets: intercomparison and application in one global aerosol model X. Pan et al. 10.5194/acp-20-969-2020
7. South American 2020 regional smoke plume: intercomparison with previous years, impact on solar radiation, and the role of Pantanal biomass burning season N. Rosário et al. 10.5194/acp-22-15021-2022
8. Aerosol optical properties calculated from size distributions, filter samples and absorption photometer data at Dome C, Antarctica, and their relationships with seasonal cycles of sources A. Virkkula et al. 10.5194/acp-22-5033-2022
9. Effects of Urban Plume Aerosols on a Mesoscale Convective System S. Kawecki et al. 10.1175/JAS-D-16-0084.1
10. The Fire Inventory from NCAR version 2.5: an updated global fire emissions model for climate and chemistry applications C. Wiedinmyer et al. 10.5194/gmd-16-3873-2023
11. Haze in Singapore – source attribution of biomass burning PM10 from Southeast Asia A. Hansen et al. 10.5194/acp-19-5363-2019
12. Emission inventory processing of biomass burning from a global dataset for air quality modeling E. Pino-Cortés et al. 10.1007/s11869-021-01129-0
13. High-Resolution Biomass Burning Aerosol Transport Simulations in the Tropics . Nurzahziani et al. 10.3390/atmos11010091
14. Modeling of Atmospheric Aerosol Properties in the São Paulo Metropolitan Area: Impact of Biomass Burning A. Vara‐Vela et al. 10.1029/2018JD028768
15. Prediction of ground-level ozone concentration in São Paulo, Brazil: Deterministic versus statistic models G. Hoshyaripour et al. 10.1016/j.atmosenv.2016.09.061
16. Characterizing and Quantifying African Dust Transport and Deposition to South America: Implications for the Phosphorus Budget in the Amazon Basin J. Prospero et al. 10.1029/2020GB006536
17. 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
18. Smoke emissions from the extreme wildfire events in central Portugal in October 2017 A. Fernandes et al. 10.1071/WF21097
19. Threefold reduction of modeled uncertainty in direct radiative effects over biomass burning regions by constraining absorbing aerosols Q. Zhong et al. 10.1126/sciadv.adi3568
20. Multiple sources emission inventory closely integrated with atmospheric environment management: A case study of Guangdong, China M. Li et al. 10.1016/j.apr.2023.101825
21. Modeling the radiative effects of biomass burning aerosols on carbon fluxes in the Amazon region D. Moreira et al. 10.5194/acp-17-14785-2017
22. Future projections of Siberian wildfire and aerosol emissions R. Nurrohman et al. 10.5194/bg-21-4195-2024
23. 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
24. Government policies endanger the indigenous peoples of the Brazilian Amazon K. Conceição et al. 10.1016/j.landusepol.2021.105663
25. Rapid Recent Deforestation Incursion in a Vulnerable Indigenous Land in the Brazilian Amazon and Fire-Driven Emissions of Fine Particulate Aerosol Pollutants G. de Oliveira et al. 10.3390/f11080829
26. Mapping Burned Areas of Mato Grosso State Brazilian Amazon Using Multisensor Datasets Y. Shimabukuro et al. 10.3390/rs12223827
27. Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations C. Reddington et al. 10.5194/acp-16-11083-2016
28. Impact of the 2016 Southeastern US Wildfires on the Vertical Distribution of Ozone and Aerosol at Huntsville, Alabama B. Wang et al. 10.1029/2021JD034796
29. Near-field emission profiling of tropical forest and Cerrado fires in Brazil during SAMBBA 2012 A. Hodgson et al. 10.5194/acp-18-5619-2018
30. Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model R. Schwantes et al. 10.1029/2021MS002889
31. Brazilian Atmospheric Inventories – BRAIN: a comprehensive database of air quality in Brazil L. Hoinaski et al. 10.5194/essd-16-2385-2024
32. Impact of anomalous forest fire on aerosol radiative forcing and snow cover over Himalayan region K. Bali et al. 10.1016/j.atmosenv.2016.11.061
33. Large air quality and human health impacts due to Amazon forest and vegetation fires E. Butt et al. 10.1088/2515-7620/abb0db
34. Deforestation and land use and land cover changes in protected areas of the Brazilian Cerrado: impacts on the fire-driven emissions of fine particulate aerosols pollutants G. Mataveli et al. 10.1080/2150704X.2021.1875147
35. The vertical distribution of biomass burning pollution over tropical South America from aircraft in situ measurements during SAMBBA E. Darbyshire et al. 10.5194/acp-19-5771-2019
36. Biomass burning aerosol over the Amazon: analysis of aircraft, surface and satellite observations using a global aerosol model C. Reddington et al. 10.5194/acp-19-9125-2019
37. Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades G. Mataveli et al. 10.3390/f12091217
38. Biomass burning sources and their contributions to PM10 concentrations over countries in mainland Southeast Asia during a smog episode P. Vongruang & S. Pimonsree 10.1016/j.atmosenv.2020.117414
39. Effect of fires on biophysical parameters, energy balance and evapotranspiration in a protected area in the Brazilian Cerrado I. Ivo et al. 10.1016/j.rsase.2020.100342
40. Improving Source Apportionment of Urban Aerosol Using Multi-Isotopic Fingerprints (MIF) and Positive Matrix Factorization (PMF): Cross-Validation and New Insights C. Souto-Oliveira et al. 10.3389/fenvs.2021.623915