427 citations as recorded by crossref.

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2. An overview from hygroscopic aerosols to cloud droplets: The HygrA-CD campaign in the Athens basin A. Papayannis et al. 10.1016/j.scitotenv.2016.09.054
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6. Environmental determinants of tropical forest and savanna distribution: A quantitative model evaluation and its implication Z. Zeng et al. 10.1002/2014JG002627
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8. Sensitivity of burned area in Europe to climate change, atmospheric CO2 levels, and demography: A comparison of two fire‐vegetation models M. Wu et al. 10.1002/2015JG003036
9. Evaluation of Regional Climatic Model Simulated Aerosol Optical Properties over South Africa Using Ground-Based and Satellite Observations M. Tesfaye et al. 10.1155/2013/237483
10. Impacts of enhanced fertilizer applications on tropospheric ozone and crop damage over sub-Saharan Africa Y. Huang et al. 10.1016/j.atmosenv.2018.02.040
11. Atmospheric aerosol distribution in the Belarus-Ukraine region by the GEOS–Chem model and AERONET measurements N. Miatselskaya et al. 10.1080/01431161.2016.1194541
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16. Delimitación de áreas quemadas en Chile a partir de umbrales dNBR ajustados según región y cubiertas del suelo R. Sánchez et al. 10.4995/raet.2023.18155
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18. Spatial Pattern Analysis of Global Burned Area in 2005 Based on Landsat Satellite Images Z. Zhang et al. 10.1088/1755-1315/428/1/012078
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22. Divergent responses of fire to recent warming and drying across south‐eastern Australia R. Bradstock et al. 10.1111/gcb.12449
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24. The land use–climate change–energy nexus V. Dale et al. 10.1007/s10980-011-9606-2
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26. Geographic and seasonal distributions of CO transport pathways and their roles in determining CO centers in the upper troposphere L. Huang et al. 10.5194/acp-12-4683-2012
27. Global search for temporal shifts in fire activity: potential human influence on southwest Russia and north Australia fire seasons T. Liu et al. 10.1088/1748-9326/abe328
28. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. 10.5194/gmd-8-2777-2015
29. Impact of fuel variability on wildfire emission estimates G. Lasslop & S. Kloster 10.1016/j.atmosenv.2015.05.040
30. Molecular hydrogen (H2) combustion emissions and their isotope (D/H) signatures from domestic heaters, diesel vehicle engines, waste incinerator plants, and biomass burning M. Vollmer et al. 10.5194/acp-12-6275-2012
31. Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010 L. Mei et al. 10.5194/bg-8-3771-2011
32. Environmental controls on the increasing GPP of terrestrial vegetation across northern Eurasia P. Dass et al. 10.5194/bg-13-45-2016
33. GloCAB: global cropland burned area from mid-2002 to 2020 J. Hall et al. 10.5194/essd-16-867-2024
34. Improved biomass burning emissions from 1750 to 2010 using ice core records and inverse modeling B. Zhang et al. 10.1038/s41467-024-47864-7
35. Impacts of the East Asian monsoon on lower tropospheric ozone over coastal South China D. Zhou et al. 10.1088/1748-9326/8/4/044011
36. Particulate PAH Transport Associated with Adult Chronic Cough Occurrence Closely Connected with Meteorological Conditions: A Modelling Study Y. Inomata et al. 10.3390/atmos12091163
37. Competing consumers: contrasting the patterns and impacts of fire and mammalian herbivory in Africa S. Archibald & G. Hempson 10.1098/rstb.2015.0309
38. How important is biomass burning in Canada to mercury contamination? A. Fraser et al. 10.5194/acp-18-7263-2018
39. Spatiotemporal variation characteristics of global fires and their emissions H. Fan et al. 10.5194/acp-23-7781-2023
40. Vertical profiles of global tropospheric nitrogen dioxide (NO2) obtained by cloud slicing the TROPOspheric Monitoring Instrument (TROPOMI) R. Horner et al. 10.5194/acp-24-13047-2024
41. A comparison of remotely-sensed and inventory datasets for burned area in Mediterranean Europe M. Turco et al. 10.1016/j.jag.2019.05.020
42. Modeling the Spatial Distribution of Wildfire Risk in Chile Under Current and Future Climate Scenarios J. Gajardo et al. 10.3390/fire8030113
43. Modeling of Emissions from Open Biomass Burning in Asia Using the BlueSky Framework K. Choi et al. 10.5572/ajae.2013.7.1.025
44. Towards improving wildland firefighter situational awareness through daily fire behaviour risk assessments in the US Northern Rockies and Northern Great Basin W. Jolly & P. Freeborn 10.1071/WF16153
45. Influence of forest fire episodes on the distribution of gaseous air pollutants over Uttarakhand, India Y. Yarragunta et al. 10.1080/15481603.2020.1712100
46. 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
47. Sensitivity of population smoke exposure to fire locations in Equatorial Asia P. Kim et al. 10.1016/j.atmosenv.2014.09.045
48. A Revised Historical Fire Regime Analysis in Tunisia (1985–2010) from a Critical Analysis of the National Fire Database and Remote Sensing C. Belhadj-Khedher et al. 10.3390/f9020059
49. Enhanced seasonal CO 2 exchange caused by amplified plant productivity in northern ecosystems M. Forkel et al. 10.1126/science.aac4971
50. Simulating effects of aerosols on rainfall in southern Africa S. Henriksson et al. 10.1007/s11869-018-0619-8
51. Demographic controls of future global fire risk W. Knorr et al. 10.1038/nclimate2999
52. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. 10.1071/WF20140
53. A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0) M. Pfeiffer et al. 10.5194/gmd-6-643-2013
54. Spatial and temporal intercomparison of four global burned area products M. Humber et al. 10.1080/17538947.2018.1433727
55. APIFLAME v2.0 biomass burning emissions model: impact of refined input parameters on atmospheric concentration in Portugal in summer 2016 S. Turquety et al. 10.5194/gmd-13-2981-2020
56. The early/late fire dichotomy P. Laris et al. 10.1177/0309133316665570
57. Toronto area ozone: Long‐term measurements and modeled sources of poor air quality events C. Whaley et al. 10.1002/2014JD022984
58. Five years of CO, HCN, C2H6, C2H2, CH3OH, HCOOH and H2CO total columns measured in the Canadian high Arctic C. Viatte et al. 10.5194/amt-7-1547-2014
59. Estimating Forest Fire Losses Using Stochastic Approach: Case Study of the Kroumiria Mountains (Northwestern Tunisia) A. Toujani et al. 10.1080/08839514.2018.1514808
60. Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
61. Modeling fire and the terrestrial carbon balance I. Prentice et al. 10.1029/2010GB003906
62. Is burn severity related to fire intensity? Observations from landscape scale remote sensing H. Heward et al. 10.1071/WF12087
63. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
64. 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
65. Potential habitat of Acropora spp. on Florida reefs K. Wirt et al. 10.1016/j.apgeog.2012.12.009
66. Impact of human population density on fire frequency at the global scale W. Knorr et al. 10.5194/bg-11-1085-2014
67. One year of Raman lidar observations of free-tropospheric aerosol layers over South Africa E. Giannakaki et al. 10.5194/acp-15-5429-2015
68. Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire: an expert assessment B. Abbott et al. 10.1088/1748-9326/11/3/034014
69. The environmental envelope of fires in the Colombian Caribbean N. Hoyos et al. 10.1016/j.apgeog.2017.05.001
70. Multi-Sensor, Active Fire-Supervised, One-Class Burned Area Mapping in the Brazilian Savanna A. Pereira et al. 10.3390/rs13194005
71. 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
72. Modeling biomass burning and related carbon emissions during the 21st century in Europe M. Migliavacca et al. 10.1002/2013JG002444
73. Quantifying wildfires exposure for investigating health-related effects H. Youssouf et al. 10.1016/j.atmosenv.2014.07.041
74. Causal relationships versus emergent patterns in the global controls of fire frequency I. Bistinas et al. 10.5194/bg-11-5087-2014
75. Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 2: Carbon emissions and the role of fires in the global carbon balance C. Yue et al. 10.5194/gmd-8-1321-2015
76. Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al. 10.5194/acp-14-6881-2014
77. Impacts of fire emissions and transport pathways on the interannual variation of CO in the tropical upper troposphere L. Huang et al. 10.5194/acp-14-4087-2014
78. Burned Area Comparisons Between Prescribed Burning Permits in Southeastern United States and Two Satellite‐Derived Products R. Huang et al. 10.1029/2017JD028217
79. A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
80. Modeling wet deposition and concentration of inorganics over Northeast Asia with MRI-PM/c M. Kajino et al. 10.5194/gmd-5-1363-2012
81. Spatial distributions and seasonal cycles of aerosol climate effects in India seen in a global climate–aerosol model S. Henriksson et al. 10.5194/acp-14-10177-2014
82. Human Pyrogeography: A New Synergy of Fire, Climate and People is Reshaping Ecosystems across the Globe C. O’Connor et al. 10.1111/j.1749-8198.2011.00428.x
83. Combining POLDER-3 satellite observations and WRF-Chem numerical simulations to derive biomass burning aerosol properties over the southeast Atlantic region A. Siméon et al. 10.5194/acp-21-17775-2021
84. Does fuel type influence the amount of charcoal produced in wildfires? Implications for the fossil record V. Hudspith et al. 10.1111/pala.12341
85. A global synthesis inversion analysis of recent variability in CO2 fluxes using GOSAT and in situ observations J. Wang et al. 10.5194/acp-18-11097-2018
86. Source–receptor relationships of nitrate in Northeast Asia and influence of sea salt on the long-range transport of nitrate M. Kajino et al. 10.1016/j.atmosenv.2013.06.024
87. The Human Ecology and Geography of Burning in an Unstable Savanna Environment P. Laris et al. 10.2993/0278-0771-35.1.111
88. A review of forest fire surveillance technologies: Mobile ad-hoc network routing protocols perspective F. AL-Dhief et al. 10.1016/j.jksuci.2017.12.005
89. Fuel-Specific Aggregation of Active Fire Detections for Rapid Mapping of Forest Fire Perimeters in Mexico C. Briones-Herrera et al. 10.3390/f13010124
90. Wildfire controls on land surface properties in mixed conifer and ponderosa pine forests of Sierra Nevada and Klamath mountains, Western US S. Shrestha et al. 10.1016/j.agrformet.2022.108939
91. Wildfire ignition probability in Belgium A. Depicker et al. 10.5194/nhess-20-363-2020
92. 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
93. Contribution of forest and peat fires to atmospheric pollution in the Irkutsk region S. Timofeeva et al. 10.1088/1755-1315/408/1/012066
94. Long-term trends and interannual variability of forest, savanna and agricultural fires in South America Y. Chen et al. 10.4155/cmt.13.61
95. Land Use Change Impacts on Air Quality and Climate C. Heald & D. Spracklen 10.1021/cr500446g
96. Development of an Algorithm for Assessing the Scope of Large Forest Fire Using VIIRS-Based Data and Machine Learning M. Son et al. 10.3390/rs16142667
97. Evaluating greenhouse gas emissions inventories for agricultural burning using satellite observations of active fires H. Lin et al. 10.1890/10-2362.1
98. Distributions and regional budgets of aerosols and their precursors simulated with the EMAC chemistry-climate model A. Pozzer et al. 10.5194/acp-12-961-2012
99. APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region S. Turquety et al. 10.5194/gmd-7-587-2014
100. Atmospheric methane isotopic record favors fossil sources flat in 1980s and 1990s with recent increase A. Rice et al. 10.1073/pnas.1522923113
101. INFERNO: a fire and emissions scheme for the UK Met Office's Unified Model S. Mangeon et al. 10.5194/gmd-9-2685-2016
102. OMI tropospheric NO2 air mass factors over South America: effects of biomass burning aerosols P. Castellanos et al. 10.5194/amt-8-3831-2015
103. About Validation-Comparison of Burned Area Products G. Valencia et al. 10.3390/rs12233972
104. Biomass burning in Indo-China peninsula and its impacts on regional air quality and global climate change-a review I. Yadav et al. 10.1016/j.envpol.2017.04.085
105. High-resolution inventory of mercury emissions from biomass burning in tropical continents during 2001–2017 Y. Shi et al. 10.1016/j.scitotenv.2018.10.420
106. A new global burned area product for climate assessment of fire impacts E. Chuvieco et al. 10.1111/geb.12440
107. Application of remote sensing to understanding fire regimes and biomass burning emissions of the tropical Andes I. Oliveras et al. 10.1002/2013GB004664
108. Numerical simulation of forest fires and possibilities to estimate aerosol emission: Recent advances N. Baranovskiy et al. 10.1016/j.firesaf.2024.104250
109. Toward clearer skies: Challenges in regulating transboundary haze in Southeast Asia J. Lee et al. 10.1016/j.envsci.2015.09.008
110. Development of the RAQM2 aerosol chemical transport model and predictions of the Northeast Asian aerosol mass, size, chemistry, and mixing type M. Kajino et al. 10.5194/acp-12-11833-2012
111. Quantifying regional, time-varying effects of cropland and pasture on vegetation fire S. Rabin et al. 10.5194/bg-12-6591-2015
112. Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazônicos Fire Experiment D. Alves et al. 10.1117/1.JRS.16.034507
113. Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
114. 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
115. Importance of secondary sources in the atmospheric budgets of formic and acetic acids F. Paulot et al. 10.5194/acp-11-1989-2011
116. Rapid degradation of pyrogenic carbon M. Zimmermann et al. 10.1111/j.1365-2486.2012.02796.x
117. Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area B. Poulter et al. 10.1002/2013GB004655
118. Interannual variability of tropospheric trace gases and aerosols: The role of biomass burning emissions A. Voulgarakis et al. 10.1002/2014JD022926
119. Coupled effects of climate teleconnections on drought, Santa Ana winds and wildfires in southern California A. Cardil et al. 10.1016/j.scitotenv.2020.142788
120. Synergies of multiple remote sensing data sources for REDD+ monitoring V. De Sy et al. 10.1016/j.cosust.2012.09.013
121. The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation N. Collier et al. 10.1029/2018MS001354
122. Increased atmospheric ammonia over the world's major agricultural areas detected from space J. Warner et al. 10.1002/2016GL072305
123. Air pollution Estimation Over Ponta M. Emetere & M. Ahiara 10.1088/1755-1315/331/1/012069
124. Emission and Atmospheric Transport of Particulate PAHs in Northeast Asia Y. Inomata et al. 10.1021/es300391w
125. A Review of Speleothems as Archives for Paleofire Proxies, With Australian Case Studies M. Campbell et al. 10.1029/2022RG000790
126. Mercury from wildfires: Global emission inventories and sensitivity to 2000–2050 global change A. Kumar et al. 10.1016/j.atmosenv.2017.10.061
127. Isotopic Records of Ancient Wildfires in C4 Grasses Preserved in the Sediment of the Ross Sea, Antarctica P. Ren et al. 10.1029/2022GL098979
128. Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic E. Kantzas et al. 10.5194/gmd-8-2597-2015
129. Hot fire, cool soil C. Stoof et al. 10.1002/grl.50299
130. Integrating Land Change Science and Savanna Fire Models in West Africa P. Laris 10.3390/land2040609
131. Quantifying Emissions of CO and NOx Using Observations From MOPITT, OMI, TES, and OSIRIS X. Zhang et al. 10.1029/2018JD028670
132. A stratified random sampling design in space and time for regional to global scale burned area product validation L. Boschetti et al. 10.1016/j.rse.2016.09.016
133. Introduced annual grass increases regional fire activity across the arid westernUSA(1980–2009) J. Balch et al. 10.1111/gcb.12046
134. The climate dependence of the terrestrial carbon cycle, including parameter and structural uncertainties M. Smith et al. 10.5194/bg-10-583-2013
135. Impact of the New South Wales fires during October 2013 on regional air quality in eastern Australia G. Rea et al. 10.1016/j.atmosenv.2016.01.034
136. Trace gas and particle emissions from open biomass burning in Mexico R. Yokelson et al. 10.5194/acp-11-6787-2011
137. Buffering the savanna: fire regimes and disequilibrium ecology in West Africa P. Laris et al. 10.1007/s11258-016-0602-0
138. Seasonal forecasting of fire over Kalimantan, Indonesia A. Spessa et al. 10.5194/nhess-15-429-2015
139. A probabilistic risk assessment for the vulnerability of the European carbon cycle to weather extremes: the ecosystem perspective S. Rolinski et al. 10.5194/bg-12-1813-2015
140. Spatio-temporal variation of biomass burning sources over South and Southeast Asia L. Sahu & V. Sheel 10.1007/s10874-013-9275-4
141. An upper tropospheric ‘ozone river’ from Africa to India during the 2008 Asian post-monsoon season F. Tocquer et al. 10.3402/tellusb.v67.25350
142. Processes controlling the vertical aerosol distribution in marine stratocumulus regions – a sensitivity study using the climate model NorESM1-M L. Frey et al. 10.5194/acp-21-577-2021
143. Characterisation of a phosphatase-like nanozyme developed by baking cysteine and its application in reviving mung bean sprouts damaged by ash Y. Xie et al. 10.1039/D3EN00415E
144. Satellite observations indicate substantial spatiotemporal variability in biomass burning NOx emission factors for South America P. Castellanos et al. 10.5194/acp-14-3929-2014
145. Strong impacts of smoke polluted air demonstrated on the flight behaviour of the painted lady butterfly (Vanessa cardui L.) Y. Liu et al. 10.1111/een.12952
146. FAOSTAT estimates of greenhouse gas emissions from biomass and peat fires S. Rossi et al. 10.1007/s10584-015-1584-y
147. Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence S. Hantson et al. 10.1016/j.rse.2012.12.004
148. Direct radiative forcing of biomass burning aerosols from the extensive Australian wildfires in 2019–2020 D. Chang et al. 10.1088/1748-9326/abecfe
149. A comprehensive biomass burning emission inventory with high spatial and temporal resolution in China Y. Zhou et al. 10.5194/acp-17-2839-2017
150. 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
151. Compositing MODIS time series for reconstructing burned areas in the taiga–steppe transition zone of northern Mongolia T. Chu & X. Guo 10.1071/WF14124
152. Assessing two large area burnt area products across Australian Southern Forests M. Soto-Berelov et al. 10.1080/01431161.2017.1392638
153. Isolating the effects of land use and functional variation on Yucatán's forest biomass under global change S. George-Chacon et al. 10.3389/ffgc.2023.1204596
154. Source contribution analysis of surface particulate polycyclic aromatic hydrocarbon concentrations in northeastern Asia by source–receptor relationships Y. Inomata et al. 10.1016/j.envpol.2013.07.020
155. Global burned area mapping from ENVISAT-MERIS and MODIS active fire data I. Alonso-Canas & E. Chuvieco 10.1016/j.rse.2015.03.011
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157. Climate, CO2 and human population impacts on global wildfire emissions W. Knorr et al. 10.5194/bg-13-267-2016
158. Long-term variations in PM2.5 emission from open biomass burning in Northeast Asia derived from satellite-derived data for 2000–2013 Z. Shon 10.1016/j.atmosenv.2015.02.038
159. Stratification and sample allocation for reference burned area data M. Padilla et al. 10.1016/j.rse.2017.06.041
160. A decadal inversion of CO₂ using the Global Eulerian–Lagrangian Coupled Atmospheric model (GELCA): sensitivity to the ground-based observation network T. Shirai et al. 10.1080/16000889.2017.1291158
161. Quantifying Relative Contributions of Light‐Absorbing Particles From Domestic and Foreign Sources on Snow Melt at Sapporo, Japan During the 2011–2012 Winter M. Niwano et al. 10.1029/2021GL093940
162. The role of temporal evolution in modeling atmospheric emissions from tropical fires M. Marlier et al. 10.1016/j.atmosenv.2014.02.039
163. Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. 10.5194/gmd-16-4249-2023
164. Application of satellite observations for identifying regions of dominant sources of nitrogen oxides over the Indian Subcontinent S. Ghude et al. 10.1029/2012JD017811
165. Impact of biomass burning on pollutant surface concentrations in megacities of the Gulf of Guinea L. Menut et al. 10.5194/acp-18-2687-2018
166. Landscape-Scale Simulation of Heterogeneous Fire Effects on Pyrogenic Carbon Emissions, Tree Mortality, and Net Ecosystem Production G. Meigs et al. 10.1007/s10021-011-9444-8
167. Effects of Mountains on Aerosols Determined by AERONET/DRAGON/J‐ALPS Measurements and Regional Model Simulations M. Nakata et al. 10.1029/2021EA001972
168. Climate and parameter sensitivity and induced uncertainties in carbon stock projections for European forests (using LPJ-GUESS 4.0) J. Oberpriller et al. 10.5194/gmd-15-6495-2022
169. Wildland fire ash: Production, composition and eco-hydro-geomorphic effects M. Bodí et al. 10.1016/j.earscirev.2013.12.007
170. Changes of forest coverage and land uses as assessed by the inventory of land uses in Italy M. Marchetti et al. 10.3832/efor0696-009
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172. Global consequences of afforestation and bioenergy cultivation on ecosystem service indicators A. Krause et al. 10.5194/bg-14-4829-2017
173. An intercomparison of Satellite Burned Area Maps derived from MODIS, MERIS, SPOT-VEGETATION, and ATSR images. An application to the August 2006 Galicia (Spain) forest fires M. Huesca et al. 10.5424/fs/2013222-03477
174. Evaluation of CMIP6 model performances in simulating fire weather spatiotemporal variability on global and regional scales C. Gallo et al. 10.5194/gmd-16-3103-2023
175. Impact of precession on the climate, vegetation and fire activity in southern Africa during MIS4 M. Woillez et al. 10.5194/cp-10-1165-2014
176. Improved simulation of fire–vegetation interactions in the Land surface Processes and eXchanges dynamic global vegetation model (LPX-Mv1) D. Kelley et al. 10.5194/gmd-7-2411-2014
177. Spatio-temporal evaluation of carbon emissions from biomass burning in Southeast Asia during the period 2001–2010 Y. Shi et al. 10.1016/j.ecolmodel.2013.09.021
178. An Algorithm for Burned Area Detection in the Brazilian Cerrado Using 4 µm MODIS Imagery R. Libonati et al. 10.3390/rs71115782
179. Terrestrial cycling of 13CO2 by photosynthesis, respiration, and biomass burning in SiBCASA I. van der Velde et al. 10.5194/bg-11-6553-2014
180. Forest fires and adaptation options in Europe N. Khabarov et al. 10.1007/s10113-014-0621-0
181. The Australian terrestrial carbon budget V. Haverd et al. 10.5194/bg-10-851-2013
182. Validation of the USGS Landsat Burned Area Essential Climate Variable (BAECV) across the conterminous United States M. Vanderhoof et al. 10.1016/j.rse.2017.06.025
183. Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations A. Safronov et al. 10.3390/rs70100395
184. Calibration and Assessment of Burned Area Simulation Capability of the LPJ-WHyMe Model in Northeast China D. Yue et al. 10.3390/f10110992
185. Potential Habitat of Acropora spp. on Reefs of Florida, Puerto Rico, and the US Virgin Islands K. Wirt et al. 10.1016/j.gecco.2014.12.001
186. Global forest area disturbance from fire, insect pests, diseases and severe weather events P. van Lierop et al. 10.1016/j.foreco.2015.06.010
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295. Source–Receptor Relationship Analysis of the Atmospheric Deposition of PAHs Subject to Long-Range Transport in Northeast Asia Y. Inomata et al. 10.1021/acs.est.7b00776
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300. Daily and 3-hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide M. Mu et al. 10.1029/2011JD016245
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