70 citations as recorded by crossref.

1. Combustion efficiency and emission factors for wildfire-season fires in mixed conifer forests of the northern Rocky Mountains, US S. Urbanski 10.5194/acp-13-7241-2013
2. 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
3. Stable carbon isotopic composition of biomass burning emissions – implications for estimating the contribution of C<sub>3</sub> and C<sub>4</sub> plants R. Vernooij et al. 10.5194/acp-22-2871-2022
4. Satellite observations indicate substantial spatiotemporal variability in biomass burning NO<sub>x</sub> emission factors for South America P. Castellanos et al. 10.5194/acp-14-3929-2014
5. The Impact of Uncertainties in African Biomass Burning Emission Estimates on Modeling Global Air Quality, Long Range Transport and Tropospheric Chemical Lifetimes J. Williams et al. 10.3390/atmos3010132
6. 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
7. Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. 10.5194/acp-16-10133-2016
8. 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
9. 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
10. First satellite measurements of carbon dioxide and methane emission ratios in wildfire plumes A. Ross et al. 10.1002/grl.50733
11. Impact of satellite AOD data on top-down estimation of biomass burning particulate matter emission X. Ye et al. 10.1016/j.scitotenv.2022.161055
12. Design and application of a mobile ground-based observatory for continuous measurements of atmospheric trace gas and criteria pollutant species S. Bush et al. 10.5194/amt-8-3481-2015
13. Methane gas emissions from savanna fires: what analysis of local burning regimes in a working West African landscape tell us P. Laris et al. 10.5194/bg-18-6229-2021
14. Continental and Ecoregion‐Specific Drivers of Atmospheric NO2 and NH3 Seasonality Over Africa Revealed by Satellite Observations J. Hickman et al. 10.1029/2020GB006916
15. Forest carbon emissions from cropland expansion in the Brazilian Cerrado biome P. Noojipady et al. 10.1088/1748-9326/aa5986
16. Particulate emissions from large North American wildfires estimated using a new top-down method T. Nikonovas et al. 10.5194/acp-17-6423-2017
17. Spatial and temporal intercomparison of four global burned area products M. Humber et al. 10.1080/17538947.2018.1433727
18. Relationships between low-temperature fires, climate and vegetation during three late glacials and interglacials of the last 430 kyr in northeastern Siberia reconstructed from monosaccharide anhydrides in Lake El'gygytgyn sediments E. Dietze et al. 10.5194/cp-16-799-2020
19. Biomass Burning in Northeast China over Two Decades: Temporal Trends and Geographic Patterns H. Huang et al. 10.3390/rs16111911
20. Climate and Fuel Controls on North American Paleofires: Smoldering to Flaming in the Late-glacial-Holocene Transition Y. Han et al. 10.1038/srep20719
21. 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
22. In Situ Tropical Peatland Fire Emission Factors and Their Variability, as Determined by Field Measurements in Peninsula Malaysia T. Smith et al. 10.1002/2017GB005709
23. Temporal and Spatial Patterns of Biomass Burning Fire Counts and Carbon Emissions in the Beijing–Tianjin–Hebei (BTH) Region during 2003–2020 Based on GFED4 Y. Zhao et al. 10.3390/atmos13030459
24. Prescribed burning of logging slash in the boreal forest of Finland: emissions and effects on meteorological quantities and soil properties A. Virkkula et al. 10.5194/acp-14-4473-2014
25. Surface Radiative Forcing as a Climate-Change Indicator in North India due to the Combined Effects of Dust and Biomass Burning U. Dumka et al. 10.3390/fire6090365
26. Airborne observations of trace gases over boreal Canada during BORTAS: campaign climatology, air mass analysis and enhancement ratios S. O'Shea et al. 10.5194/acp-13-12451-2013
27. 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
28. Atmospheric CH<sub>4</sub> and CO<sub>2</sub> enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes R. Parker et al. 10.5194/acp-16-10111-2016
29. Improved western U.S. background ozone estimates via constraining nonlocal and local source contributions using Aura TES and OMI observations M. Huang et al. 10.1002/2014JD022993
30. Mapping the daily progression of large wildland fires using MODIS active fire data S. Veraverbeke et al. 10.1071/WF13015
31. Determinants and predictability of global wildfire emissions W. Knorr et al. 10.5194/acp-12-6845-2012
32. Interannual variability of nitrogen oxides emissions from boreal fires in Siberia and Alaska during 1996–2011 as observed from space H. Tanimoto et al. 10.1088/1748-9326/10/6/065004
33. Assigning dates and identifying areas affected by fires in Portugal based on MODIS data J. PANISSET et al. 10.1590/0001-3765201720160707
34. What could have caused pre-industrial biomass burning emissions to exceed current rates? G. van der Werf et al. 10.5194/cp-9-289-2013
35. A 15-year record of CO emissions constrained by MOPITT CO observations Z. Jiang et al. 10.5194/acp-17-4565-2017
36. Retrieval of Carbon Monoxide Total Column in the Atmosphere from High Resolution Atmospheric Spectra T. Chesnokova et al. 10.1134/S1024856019040031
37. 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
38. Emissions relationships in western forest fire plumes – Part 1: Reducing the effect of mixing errors on emission factors R. Chatfield & M. Andreae 10.5194/amt-13-7069-2020
39. CO 2 emissions from the 2010 Russian wildfires using GOSAT data M. Guo et al. 10.1016/j.envpol.2017.04.014
40. Factors controlling variability in the oxidative capacity of the troposphere since the Last Glacial Maximum L. Murray et al. 10.5194/acp-14-3589-2014
41. Biomass burning at Cape Grim: exploring photochemistry using multi-scale modelling S. Lawson et al. 10.5194/acp-17-11707-2017
42. Climatic control of orbital time-scale wildfire occurrences since the late MIS 3 at Qinghai Lake, monsoon marginal zone Y. Hao et al. 10.1016/j.quaint.2020.03.002
43. Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015) M. van Marle et al. 10.5194/gmd-10-3329-2017
44. Intraseasonal variability of greenhouse gas emission factors from biomass burning in the Brazilian Cerrado R. Vernooij et al. 10.5194/bg-18-1375-2021
45. Methane emissions from 2000 to 2011 wildfires in Northeast Eurasia estimated with MODIS burned area data A. Vasileva & K. Moiseenko 10.1016/j.atmosenv.2013.02.001
46. Satellite-Based Fire Progression Mapping: A Comprehensive Assessment for Large Fires in Northern California E. Scaduto et al. 10.1109/JSTARS.2020.3019261
47. Identification of surface NO x emission sources on a regional scale using OMI NO 2 I. Zyrichidou et al. 10.1016/j.atmosenv.2014.11.023
48. Dynamic savanna burning emission factors based on satellite data using a machine learning approach R. Vernooij et al. 10.5194/esd-14-1039-2023
49. Estimates of Wildfire Emissions in Boreal Forests of China K. Yi & Y. Bao 10.3390/f7080158
50. Characterization of wildfire NO<sub>x</sub> emissions using MODIS fire radiative power and OMI tropospheric NO<sub>2</sub> columns A. Mebust et al. 10.5194/acp-11-5839-2011
51. A quadcopter unmanned aerial system (UAS)-based methodology for measuring biomass burning emission factors R. Vernooij et al. 10.5194/amt-15-4271-2022
52. Wildfires Temperature Estimation by Complementary Use of Hyperspectral PRISMA and Thermal (ECOSTRESS & L8) S. Amici et al. 10.1029/2022JG007055
53. Asian inland wildfires driven by glacial–interglacial climate change Y. Han et al. 10.1073/pnas.1822035117
54. Biomass burning emissions of trace gases and particles in marine air at Cape Grim, Tasmania S. Lawson et al. 10.5194/acp-15-13393-2015
55. The Global Fire Atlas of individual fire size, duration, speed and direction N. Andela et al. 10.5194/essd-11-529-2019
56. Quantifying the Impact of Biomass Burning Emissions on Major Inorganic Aerosols and Their Precursors in the U.S. A. Souri et al. 10.1002/2017JD026788
57. Evaluating high-resolution forecasts of atmospheric CO and CO<sub>2</sub> from a global prediction system during KORUS-AQ field campaign W. Tang et al. 10.5194/acp-18-11007-2018
58. Space-based observations of fire NO<sub>x</sub> emission coefficients: a global biome-scale comparison A. Mebust & R. Cohen 10.5194/acp-14-2509-2014
59. New emission factors for Australian vegetation fires measured using open-path Fourier transform infrared spectroscopy – Part 2: Australian tropical savanna fires T. Smith et al. 10.5194/acp-14-11335-2014
60. Daily burned area and carbon emissions from boreal fires in Alaska S. Veraverbeke et al. 10.5194/bg-12-3579-2015
61. Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India? U. Dumka et al. 10.3390/rs14030549
62. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power J. Kaiser et al. 10.5194/bg-9-527-2012
63. VOC emissions of smouldering combustion from Mediterranean wildfires in central Portugal M. Evtyugina et al. 10.1016/j.atmosenv.2012.10.001
64. Approaches to quantifying carbon emissions from degradation in pan‐tropic forests—Implications for effective REDD monitoring H. Lu et al. 10.1002/ldr.3333
65. Greenhouse gas emissions from laboratory-scale fires in wildland fuels depend on fire spread mode and phase of combustion N. Surawski et al. 10.5194/acp-15-5259-2015
66. GAMBUT field measurement of emissions from a tropical peatland fire experiment: from ignition to spread to suppression Y. Hu et al. 10.1071/WF23079
67. Global emissions of NH3, NOx, and N2O from biomass burning and the impact of climate change C. Bray et al. 10.1080/10962247.2020.1842822
68. Reduced biomass burning emissions reconcile conflicting estimates of the post-2006 atmospheric methane budget J. Worden et al. 10.1038/s41467-017-02246-0
69. Boreal forest fire CO and CH<sub>4</sub> emission factors derived from tower observations in Alaska during the extreme fire season of 2015 E. Wiggins et al. 10.5194/acp-21-8557-2021
70. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009) G. van der Werf et al. 10.5194/acp-10-11707-2010