80 citations as recorded by crossref.

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31. Characterization of biomass burning from olive grove areas: A major source of organic aerosol in PM 10 of Southwest Europe A. Sánchez de la Campa et al. 10.1016/j.atmosres.2017.07.032
32. A Plant Species Dependent Wildfire Black Carbon Emission Inventory in Northern Eurasia R. Huang et al. 10.1029/2023GL104184
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34. Projection of future wildfire emissions in western USA under climate change: contributions from changes in wildfire, fuel loading and fuel moisture Y. Liu et al. 10.1071/WF20190
35. Fire evolution in the radioactive forests of Ukraine and Belarus: future risks for the population and the environment N. Evangeliou et al. 10.1890/14-1227.1
36. Speciated and total emission factors of particulate organics from burning western US wildland fuels and their dependence on combustion efficiency C. Jen et al. 10.5194/acp-19-1013-2019
37. Estimating the economic value of carbon losses from wildfires using publicly available data sources: Eagle Creek Fire, Oregon 2017 K. Sweeney et al. 10.1186/s42408-023-00206-2
38. Estimates of Wildfire Emissions in Boreal Forests of China K. Yi & Y. Bao 10.3390/f7080158
39. Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions Y. Bai et al. 10.1016/j.apr.2016.01.004
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41. Emissions from prescribed fires in temperate forest in south-east Australia: implications for carbon accounting M. Possell et al. 10.5194/bg-12-257-2015
42. Pre-fire and post-fire surface fuel and cover measurements collected in the south-eastern United States for model evaluation and development – RxCADRE 2008, 2011 and 2012 R. Ottmar et al. 10.1071/WF15092
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45. 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
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48. A Coupled Wildfire-Emission and Dispersion Framework for Probabilistic PM2.5 Estimation D. Melecio-Vázquez et al. 10.3390/fire6060220
49. A VIIRS direct broadcast algorithm for rapid response mapping of wildfire burned area in the western United States S. Urbanski et al. 10.1016/j.rse.2018.10.007
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51. Satellite contributions to the quantitative characterization of biomass burning for climate modeling C. Ichoku et al. 10.1016/j.atmosres.2012.03.007
52. Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al. 10.5194/acp-24-6787-2024
53. California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States J. Gomez et al. 10.5194/acp-24-6937-2024
54. Open fires in Greenland in summer 2017: transport, deposition and radiative effects of BC, OC and BrC emissions N. Evangeliou et al. 10.5194/acp-19-1393-2019
55. Rapid estimation of CO2 emissions from forest fire events using cloud-based computation of google earth engine P. Setiani et al. 10.1007/s10661-021-09460-w
56. Spatial and seasonal variability of measured anthropogenic non-methane hydrocarbons in urban atmospheres: Implication on emission ratios A. Boynard et al. 10.1016/j.atmosenv.2013.09.039
57. Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements C. Ichoku & L. Ellison 10.5194/acp-14-6643-2014
58. A large source of dust missing in Particulate Matter emission inventories? Wind erosion of post-fire landscapes N. Wagenbrenner et al. 10.1525/elementa.185
59. Constraining emissions of volatile organic compounds from western US wildfires with WE-CAN and FIREX-AQ airborne observations L. Jin et al. 10.5194/acp-23-5969-2023
60. Evaluating the performance and mapping of three fuel classification systems using Forest Inventory and Analysis surface fuel measurements R. Keane et al. 10.1016/j.foreco.2013.06.001
61. How emissions uncertainty influences the distribution and radiative impacts of smoke from fires in North America T. Carter et al. 10.5194/acp-20-2073-2020
62. The impact of infield biomass burning on PM levels and its chemical composition P. Dambruoso et al. 10.1007/s11356-013-2384-4
63. Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey A. ALTIKAT 10.31015/jaefs.2020.1.5
64. Emissions estimation from satellite retrievals: A review of current capability D. Streets et al. 10.1016/j.atmosenv.2013.05.051
65. Examination of two assumptions commonly used to determine PM2.5 emission factors for wildland fires Y. Hsieh et al. 10.1016/j.atmosenv.2016.10.012
66. PM2.5particulates and particulate-bound mercury Hg(p) concentrations in a mixed urban, residential, traffic-heavy, and industrial site G. Fang et al. 10.1080/15275922.2017.1340363
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68. A growing importance of large fires in conterminous United States during 1984–2012 J. Yang et al. 10.1002/2015JG002965
69. High spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model M. Hu et al. 10.1016/j.jenvman.2024.123096
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76. Impact of wildfires on particulate matter in the Euro-Mediterranean in 2007: sensitivity to some parameterizations of emissions in air quality models M. Majdi et al. 10.5194/acp-19-785-2019
77. An inter-comparative evaluation of PKU-FUEL global SO2 emission inventory J. Luo et al. 10.1016/j.scitotenv.2020.137755
78. Impacts of upwind wildfire emissions on CO, CO2, and PM2.5 concentrations in Salt Lake City, Utah D. Mallia et al. 10.1002/2014JD022472
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