123 citations as recorded by crossref.

1. Quantifying the role of fire in the Earth system – Part 1: Improved global fire modeling in the Community Earth System Model (CESM1) F. Li et al. 10.5194/bg-10-2293-2013
2. INFERNO: a fire and emissions scheme for the UK Met Office's Unified Model S. Mangeon et al. 10.5194/gmd-9-2685-2016
3. 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
4. Building a machine learning surrogate model for wildfire activities within a global Earth system model Q. Zhu et al. 10.5194/gmd-15-1899-2022
5. Nitrogen limitation on land: how can it occur in Earth system models? R. Thomas et al. 10.1111/gcb.12813
6. Quantifying the role of fire in the Earth system – Part 2: Impact on the net carbon balance of global terrestrial ecosystems for the 20th century F. Li et al. 10.5194/bg-11-1345-2014
7. Contribution of high-latitude permafrost regions in the Northern Hemisphere to global wildfire carbon emissions X. Zhu et al. 10.1007/s11430-024-1397-2
8. Asynchronous exposure to global warming: freshwater resources and terrestrial ecosystems D. Gerten et al. 10.1088/1748-9326/8/3/034032
9. Are Northern Hemisphere boreal forest fires more sensitive to future aerosol mitigation than to greenhouse gas–driven warming? R. Allen et al. 10.1126/sciadv.adl4007
10. WRF-ELM v1.0: a regional climate model to study land–atmosphere interactions over heterogeneous land use regions H. Huang et al. 10.5194/gmd-18-1427-2025
11. Trends and Variability of Global Fire Emissions Due To Historical Anthropogenic Activities D. Ward et al. 10.1002/2017GB005787
12. Enhanced future vegetation growth with elevated carbon dioxide concentrations could increase fire activity R. Allen et al. 10.1038/s43247-024-01228-7
13. Global fire modelling and control attributions based on the ensemble machine learning and satellite observations Y. Zhang et al. 10.1016/j.srs.2023.100088
14. Modeling burned area in Europe with the Community Land Model M. Migliavacca et al. 10.1002/jgrg.20026
15. Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model B. Smith et al. 10.5194/bg-11-2027-2014
16. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty D. Lawrence et al. 10.1029/2018MS001583
17. HESFIRE: a global fire model to explore the role of anthropogenic and weather drivers Y. Le Page et al. 10.5194/bg-12-887-2015
18. How have past fire disturbances contributed to the current carbon balance of boreal ecosystems? C. Yue et al. 10.5194/bg-13-675-2016
19. Heat waves in summer 2022 and increasing concern regarding heat waves in general R. Lu et al. 10.1016/j.aosl.2022.100290
20. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. 10.1029/2020MS002210
21. SMLFire1.0: a stochastic machine learning (SML) model for wildfire activity in the western United States J. Buch et al. 10.5194/gmd-16-3407-2023
22. Understanding the effect of fire on vegetation composition and gross primary production in a semi-arid shrubland ecosystem using the Ecosystem Demography (EDv2.2) model K. Pandit et al. 10.5194/bg-18-2027-2021
23. Controls on fire activity over the Holocene S. Kloster et al. 10.5194/cp-11-781-2015
24. Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades A. Chen et al. 10.1016/j.geosus.2020.03.002
25. Causal relationships versus emergent patterns in the global controls of fire frequency I. Bistinas et al. 10.5194/bg-11-5087-2014
26. How does irrigation alter the water, carbon, and nitrogen budgets in a large endorheic river basin? S. Yang et al. 10.1016/j.jhydrol.2022.128317
27. Human impacts on 20th century fire dynamics and implications for global carbon and water trajectories F. Li et al. 10.1016/j.gloplacha.2018.01.002
28. The global drivers of wildfire O. Haas et al. 10.3389/fenvs.2024.1438262
29. Climate–Human–Land Interactions: A Review of Major Modelling Approaches M. Michetti & M. Zampieri 10.3390/land3030793
30. The Impact of Parametric Uncertainties on Biogeochemistry in the E3SM Land Model D. Ricciuto et al. 10.1002/2017MS000962
31. Interannual variability and climatic sensitivity of global wildfire activity R. Tang et al. 10.1016/j.accre.2021.07.001
32. 北半球高纬度多年冻土区对全球野火燃烧碳排放的贡献 星. 朱 et al. 10.1360/SSTe-2024-0072
33. Impact of fire on global land surface air temperature and energy budget for the 20th century due to changes within ecosystems F. Li et al. 10.1088/1748-9326/aa6685
34. Calibration and Assessment of Burned Area Simulation Capability of the LPJ-WHyMe Model in Northeast China D. Yue et al. 10.3390/f10110992
35. The DOE E3SM v1.1 Biogeochemistry Configuration: Description and Simulated Ecosystem‐Climate Responses to Historical Changes in Forcing S. Burrows et al. 10.1029/2019MS001766
36. Interactive impacts of fire and vegetation dynamics on global carbon and water budget using Community Land Model version 4.5 H. Seo & Y. Kim 10.5194/gmd-12-457-2019
37. Modeling biomass burning and related carbon emissions during the 21st century in Europe M. Migliavacca et al. 10.1002/2013JG002444
38. Mercury from wildfires: Global emission inventories and sensitivity to 2000–2050 global change A. Kumar et al. 10.1016/j.atmosenv.2017.10.061
39. Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. 10.5194/acp-19-12545-2019
40. 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
41. Changes in Global Vegetation Distribution and Carbon Fluxes in Response to Global Warming: Simulated Results from IAP-DGVM in CAS-ESM2 X. Gao et al. 10.1007/s00376-021-1138-3
42. CAS-ESM2.0 Successfully Reproduces Historical Atmospheric CO2 in a Coupled Carbon-Climate Simulation J. Zhu et al. 10.1007/s00376-023-3172-9
43. Integrating Real-Time Meteorological Conditions into a Novel Fire Spread Model for Grasslands Y. Zhang et al. 10.3390/fire7050154
44. A Bioeconomic Projection of Climate‐Induced Wildfire Risk in the Forest Sector M. Riviere et al. 10.1029/2021EF002433
45. Forcing the Global Fire Emissions Database burned-area dataset into the Community Land Model version 5.0: impacts on carbon and water fluxes at high latitudes H. Seo & Y. Kim 10.5194/gmd-16-4699-2023
46. A fire model with distinct crop, pasture, and non-agricultural burning: use of new data and a model-fitting algorithm for FINAL.1 S. Rabin et al. 10.5194/gmd-11-815-2018
47. Impact of solar geoengineering on wildfires in the 21st century in CESM2/WACCM6 W. Tang et al. 10.5194/acp-23-5467-2023
48. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al. 10.5194/gmd-17-8751-2024
49. Modeling the short-term fire effects on vegetation dynamics and surface energy in southern Africa using the improved SSiB4/TRIFFID-Fire model H. Huang et al. 10.5194/gmd-14-7639-2021
50. Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations X. Song et al. 10.1088/1748-9326/ab94e8
51. Future fire-PM2.5 mortality varies depending on climate and socioeconomic changes C. Park et al. 10.1088/1748-9326/ad1b7d
52. Competition between plant functional types in the Canadian Terrestrial Ecosystem Model (CTEM) v. 2.0 J. Melton & V. Arora 10.5194/gmd-9-323-2016
53. An assessment of natural methane fluxes simulated by the CLASS-CTEM model V. Arora et al. 10.5194/bg-15-4683-2018
54. China’s EarthLab—Forefront of Earth System Simulation Research Z. Chai et al. 10.1007/s00376-021-1175-y
55. The interactive global fire module pyrE (v1.0) K. Mezuman et al. 10.5194/gmd-13-3091-2020
56. Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al. 10.1080/17538947.2019.1597187
57. The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. 10.5194/gmd-10-1175-2017
58. Hydraulic redistribution affects modeled carbon cycling via soil microbial activity and suppressed fire C. Fu et al. 10.1111/gcb.14164
59. Climate influence on the 2019 fires in Amazonia X. Dong et al. 10.1016/j.scitotenv.2021.148718
60. Attributing human mortality from fire PM2.5 to climate change C. Park et al. 10.1038/s41558-024-02149-1
61. Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area B. Poulter et al. 10.1002/2013GB004655
62. Climate change risk to forests in China associated with warming Y. Yin et al. 10.1038/s41598-017-18798-6
63. Abrupt increase in Arctic-Subarctic wildfires caused by future permafrost thaw I. Kim et al. 10.1038/s41467-024-51471-x
64. Sensitivity of global wildfire occurrences to various factors in the context of global change Y. Huang et al. 10.1016/j.atmosenv.2015.06.002
65. Quantifying CO 2 forcing effects on lightning, wildfires, and climate interactions V. Verjans et al. 10.1126/sciadv.adt5088
66. CMIP6 Simulations With the CMCC Earth System Model (CMCC‐ESM2) T. Lovato et al. 10.1029/2021MS002814
67. Impact of human population density on fire frequency at the global scale W. Knorr et al. 10.5194/bg-11-1085-2014
68. Representation of fire, land-use change and vegetation dynamics in the Joint UK Land Environment Simulator vn4.9 (JULES) C. Burton et al. 10.5194/gmd-12-179-2019
69. Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: simulating historical global burned area and fire regimes C. Yue et al. 10.5194/gmd-7-2747-2014
70. Evaluation of the individual allocation scheme and its impacts in a dynamic global vegetation model X. Song et al. 10.1080/16742834.2015.1128231
71. An ensemble approach to simulate CO2 emissions from natural fires A. Eliseev et al. 10.5194/bg-11-3205-2014
72. Improvement of human-induced wildfire occurrence modeling from a spatial variation of anthropogenic ignition factor in the CLM5 L. Cai et al. 10.1088/1748-9326/acf1b6
73. Anthropogenic effects on global mean fire size S. Hantson et al. 10.1071/WF14208
74. Dynamically simulating spruce budworm in eastern Canada and its interactions with wildfire H. Sato et al. 10.1016/j.ecolmodel.2023.110412
75. The sensitivity of global climate to the episodicity of fire aerosol emissions S. Clark et al. 10.1002/2015JD024068
76. Convergence of bark investment according to fire and climate structures ecosystem vulnerability to future change A. Pellegrini et al. 10.1111/ele.12725
77. Synergy between land use and climate change increases future fire risk in Amazon forests Y. Le Page et al. 10.5194/esd-8-1237-2017
78. Direct and indirect effects of climate change on projected future fire regimes in the western United States Z. Liu & M. Wimberly 10.1016/j.scitotenv.2015.10.093
79. The status and challenge of global fire modelling S. Hantson et al. 10.5194/bg-13-3359-2016
80. Quantifying the environmental limits to fire spread in grassy ecosystems A. Cardoso et al. 10.1073/pnas.2110364119
81. Neural network predictions of pollutant emissions from open burning of crop residues: Application to air quality forecasts in southern China X. Feng et al. 10.1016/j.atmosenv.2019.02.002
82. Evaluation of the New Dynamic Global Vegetation Model in CAS-ESM J. Zhu et al. 10.1007/s00376-017-7154-7
83. The influence of thinning and prescribed burning on future forest fires in fire-prone regions of Europe S. Rabin et al. 10.1088/1748-9326/ac6312
84. Positive feedback to regional climate enhances African wildfires A. Zhang et al. 10.1016/j.isci.2023.108533
85. A Global Analysis of Hunter-Gatherers, Broadcast Fire Use, and Lightning-Fire-Prone Landscapes M. Coughlan et al. 10.3390/fire1030041
86. Reduction in global area burned and wildfire emissions since 1930s enhances carbon uptake by land V. Arora & J. Melton 10.1038/s41467-018-03838-0
87. Smoke consequences of new wildfire regimes driven by climate change D. McKenzie et al. 10.1002/2013EF000180
88. Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites L. Zhang et al. 10.1016/j.agrformet.2016.05.018
89. An aridity threshold model of fire sizes and annual area burned in extensively forested ecoregions of the western USA P. Henne & T. Hawbaker 10.1016/j.ecolmodel.2023.110277
90. How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. 10.1029/2020EF001786
91. Tripling of western US particulate pollution from wildfires in a warming climate Y. Xie et al. 10.1073/pnas.2111372119
92. Future transition from forests to shrublands and grasslands in the western United States is expected to reduce carbon storage J. Kodero et al. 10.1038/s43247-024-01253-6
93. Uncertainty in land carbon budget simulated by terrestrial biosphere models: the role of atmospheric forcing L. Hardouin et al. 10.1088/1748-9326/ac888d
94. Global Mean Climate and Main Patterns of Variability in the CMCC‐CM2 Coupled Model A. Cherchi et al. 10.1029/2018MS001369
95. Spatial and temporal variation of air pollutant emissions from forest fires in China R. Song et al. 10.1016/j.atmosenv.2022.119156
96. Regional air quality: biomass burning impacts of SO2 emissions on air quality in the Himalayan region of Uttarakhand, India A. Gautam et al. 10.1007/s11869-023-01426-w
97. 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
98. Evaluation of Sea Ice Simulation of CAS-ESM 2.0 in Historical Experiment X. Gao et al. 10.3390/atmos13071056
99. Century‐scale patterns and trends of global pyrogenic carbon emissions and fire influences on terrestrial carbon balance J. Yang et al. 10.1002/2015GB005160
100. Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing D. Hamilton et al. 10.1038/s41467-018-05592-9
101. Exposure of cultural resources to 21st-century climate change: Towards a risk management plan J. Clark et al. 10.1016/j.crm.2021.100385
102. Development of the IAP Dynamic Global Vegetation Model X. Zeng et al. 10.1007/s00376-013-3155-3
103. Future Fire Impacts on Smoke Concentrations, Visibility, and Health in the Contiguous United States B. Ford et al. 10.1029/2018GH000144
104. Influence of atmospheric teleconnections on interannual variability of Arctic-boreal fires Z. Zhao et al. 10.1016/j.scitotenv.2022.156550
105. A human-driven decline in global burned area N. Andela et al. 10.1126/science.aal4108
106. Development of a REgion‐Specific Ecosystem Feedback Fire (RESFire) Model in the Community Earth System Model Y. Zou et al. 10.1029/2018MS001368
107. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. 10.5194/bg-16-3883-2019
108. Continental-scale quantification of post-fire vegetation greenness recovery in temperate and boreal North America J. Yang et al. 10.1016/j.rse.2017.07.022
109. A growing importance of large fires in conterminous United States during 1984–2012 J. Yang et al. 10.1002/2015JG002965
110. Adapting a dynamic vegetation model for regional biomass, plant biogeography, and fire modeling in the Greater Yellowstone Ecosystem: Evaluating LPJ-GUESS-LMfireCF K. Emmett et al. 10.1016/j.ecolmodel.2020.109417
111. Impact of climate and socioeconomic changes on fire carbon emissions in the future: Sustainable economic development might decrease future emissions C. Park et al. 10.1016/j.gloenvcha.2023.102667
112. Reply To: Relative tree cover does not indicate a lagged Holocene forest response to monsoon rainfall J. Cheng et al. 10.1038/s41467-022-33959-6
113. Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation–fire model SSiB4/TRIFFID-Fire v1.0 H. Huang et al. 10.5194/gmd-13-6029-2020
114. Role of Fire in the Global Land Water Budget during the Twentieth Century due to Changing Ecosystems F. Li & D. Lawrence 10.1175/JCLI-D-16-0460.1
115. 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
116. Influence of ground and peat fires on CO2 emissions into the atmosphere A. Eliseev et al. 10.1134/S1028334X14120034
117. Dynamic ecosystem assembly and escaping the “fire trap” in the tropics: insights from FATES_15.0.0 J. Shuman et al. 10.5194/gmd-17-4643-2024
118. Spatial and temporal patterns of global burned area in response to anthropogenic and environmental factors: Reconstructing global fire history for the 20th and early 21st centuries J. Yang et al. 10.1002/2013JG002532
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120. Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
121. Sea Surface Temperature Warming Patterns and Future Vegetation Change S. Rauscher et al. 10.1175/JCLI-D-14-00528.1
122. Disproportionate Changes in the CH4 Emissions of Six Water Table Levels in an Alpine Peatland L. Yan et al. 10.3390/atmos11111165
123. Improving prediction and assessment of global fires using multilayer neural networks J. Joshi & R. Sukumar 10.1038/s41598-021-81233-4