Articles | Volume 12, issue 3
https://doi.org/10.5194/bg-12-887-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-887-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Feb 2015
Research article |
| 13 Feb 2015
HESFIRE: a global fire model to explore the role of anthropogenic and weather drivers
Y. Le Page
CORRESPONDING AUTHOR
Pacific Northwest National Laboratory, Joint Global Change Research Institute, University of Maryland, College Park, MD 20740, USA
D. Morton
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
B. Bond-Lamberty
Pacific Northwest National Laboratory, Joint Global Change Research Institute, University of Maryland, College Park, MD 20740, USA
J. M. C. Pereira
Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisbon, Portugal
G. Hurtt
Department of Geographical Sciences, University of Maryland, College Park, MD 20740, USA
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Cited
37 citations as recorded by crossref.
- Quantifying regional, time-varying effects of cropland and pasture on vegetation fire S. Rabin et al. https://doi.org/10.5194/bg-12-6591-2015
- Historical and future global burned area with changing climate and human demography C. Wu et al. https://doi.org/10.1016/j.oneear.2021.03.002
- The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description M. Longo et al. https://doi.org/10.5194/gmd-12-4309-2019
- Influence of local scale and oceanic teleconnections on regional fire danger and wildfire trends F. Justino et al. https://doi.org/10.1016/j.scitotenv.2023.163397
- The status and challenge of global fire modelling S. Hantson et al. https://doi.org/10.5194/bg-13-3359-2016
- Wildfire univariate and bivariate characteristics simulation based on multiple machine learning models and applicability analysis of wildfire models K. Shi et al. https://doi.org/10.1016/j.pdisas.2023.100301
- Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R. Son et al. https://doi.org/10.1029/2023MS003710
- Synergy between land use and climate change increases future fire risk in Amazon forests Y. Le Page et al. https://doi.org/10.5194/esd-8-1237-2017
- Underappreciated contributions of biogenic volatile organic compounds from urban green spaces to ozone pollution H. Wang et al. https://doi.org/10.5194/acp-25-5233-2025
- A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. https://doi.org/10.5194/gmd-10-4443-2017
- Effects of fossil fuel and total anthropogenic emission removal on public health and climate J. Lelieveld et al. https://doi.org/10.1073/pnas.1819989116
- Fire takes no vacation: impact of fires on tourism V. Otrachshenko & L. Nunes https://doi.org/10.1017/S1355770X21000012
- Reconstructions of biomass burning from sediment-charcoal records to improve data–model comparisons J. Marlon et al. https://doi.org/10.5194/bg-13-3225-2016
- Trends and Variability of Global Fire Emissions Due To Historical Anthropogenic Activities D. Ward et al. https://doi.org/10.1002/2017GB005787
- Human impacts on 20th century fire dynamics and implications for global carbon and water trajectories F. Li et al. https://doi.org/10.1016/j.gloplacha.2018.01.002
- Relations of land cover, topography, and climate to fire occurrence in natural regions of Iran: Applying new data mining techniques for modeling and mapping fire danger S. Eskandari et al. https://doi.org/10.1016/j.foreco.2020.118338
- Impact of climate and socioeconomic changes on fire carbon emissions in the future: Sustainable economic development might decrease future emissions C. Park et al. https://doi.org/10.1016/j.gloenvcha.2023.102667
- Using hydrological modelling to improve the Fire Weather Index system over tropical peatlands of peninsular Malaysia, Sumatra and Borneo J. Mortelmans et al. https://doi.org/10.1071/WF24057
- Modelling of forest fuel and weather effects on fire behavior in the oak forests of Southern Sweden O. Wepryk et al. https://doi.org/10.1080/02827581.2025.2531994
- How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. https://doi.org/10.1029/2020EF001786
- Impacts of Degradation on Water, Energy, and Carbon Cycling of the Amazon Tropical Forests M. Longo et al. https://doi.org/10.1029/2020JG005677
- Variability of fire emissions on interannual to multi-decadal timescales in two Earth System models D. Ward et al. https://doi.org/10.1088/1748-9326/11/12/125008
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. https://doi.org/10.1029/2020RG000726
- After the flames then what? exploring the linkages between wildfires and household food security in the northern Savannah of Ghana D. Kpienbaareh & I. Luginaah https://doi.org/10.1080/13504509.2019.1640311
- Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. https://doi.org/10.5194/gmd-13-3299-2020
- Mapping burnt areas in the semi-arid savannahs: an exploration of SVM classification and field surveys D. Kpienbaareh & I. Luginaah https://doi.org/10.1007/s10708-019-10107-0
- Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations S. Venevsky et al. https://doi.org/10.5194/gmd-12-89-2019
- Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. https://doi.org/10.5194/acp-19-12545-2019
- Pervasive shifts in forest dynamics in a changing world N. McDowell et al. https://doi.org/10.1126/science.aaz9463
- 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. https://doi.org/10.5194/gmd-11-815-2018
- The Global Fire Atlas of individual fire size, duration, speed and direction N. Andela et al. https://doi.org/10.5194/essd-11-529-2019
- Evaluation of climate‐related carbon turnover processes in global vegetation models for boreal and temperate forests M. Thurner et al. https://doi.org/10.1111/gcb.13660
- Grand Challenges in Understanding the Interplay of Climate and Land Changes S. Liu et al. https://doi.org/10.1175/EI-D-16-0012.1
- Varying relationships between fire radiative power and fire size at a global scale P. Laurent et al. https://doi.org/10.5194/bg-16-275-2019
- Development of a statistical model for global burned area simulation within a DGVM-compatible framework B. Kavhu et al. https://doi.org/10.5194/bg-22-7001-2025
- Negligent and intentional fires in Portugal: Spatial distribution characterization J. Parente et al. https://doi.org/10.1016/j.scitotenv.2017.12.013
- Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. https://doi.org/10.5194/bg-16-3147-2019
37 citations as recorded by crossref.
- Quantifying regional, time-varying effects of cropland and pasture on vegetation fire S. Rabin et al. https://doi.org/10.5194/bg-12-6591-2015
- Historical and future global burned area with changing climate and human demography C. Wu et al. https://doi.org/10.1016/j.oneear.2021.03.002
- The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description M. Longo et al. https://doi.org/10.5194/gmd-12-4309-2019
- Influence of local scale and oceanic teleconnections on regional fire danger and wildfire trends F. Justino et al. https://doi.org/10.1016/j.scitotenv.2023.163397
- The status and challenge of global fire modelling S. Hantson et al. https://doi.org/10.5194/bg-13-3359-2016
- Wildfire univariate and bivariate characteristics simulation based on multiple machine learning models and applicability analysis of wildfire models K. Shi et al. https://doi.org/10.1016/j.pdisas.2023.100301
- Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R. Son et al. https://doi.org/10.1029/2023MS003710
- Synergy between land use and climate change increases future fire risk in Amazon forests Y. Le Page et al. https://doi.org/10.5194/esd-8-1237-2017
- Underappreciated contributions of biogenic volatile organic compounds from urban green spaces to ozone pollution H. Wang et al. https://doi.org/10.5194/acp-25-5233-2025
- A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. https://doi.org/10.5194/gmd-10-4443-2017
- Effects of fossil fuel and total anthropogenic emission removal on public health and climate J. Lelieveld et al. https://doi.org/10.1073/pnas.1819989116
- Fire takes no vacation: impact of fires on tourism V. Otrachshenko & L. Nunes https://doi.org/10.1017/S1355770X21000012
- Reconstructions of biomass burning from sediment-charcoal records to improve data–model comparisons J. Marlon et al. https://doi.org/10.5194/bg-13-3225-2016
- Trends and Variability of Global Fire Emissions Due To Historical Anthropogenic Activities D. Ward et al. https://doi.org/10.1002/2017GB005787
- Human impacts on 20th century fire dynamics and implications for global carbon and water trajectories F. Li et al. https://doi.org/10.1016/j.gloplacha.2018.01.002
- Relations of land cover, topography, and climate to fire occurrence in natural regions of Iran: Applying new data mining techniques for modeling and mapping fire danger S. Eskandari et al. https://doi.org/10.1016/j.foreco.2020.118338
- Impact of climate and socioeconomic changes on fire carbon emissions in the future: Sustainable economic development might decrease future emissions C. Park et al. https://doi.org/10.1016/j.gloenvcha.2023.102667
- Using hydrological modelling to improve the Fire Weather Index system over tropical peatlands of peninsular Malaysia, Sumatra and Borneo J. Mortelmans et al. https://doi.org/10.1071/WF24057
- Modelling of forest fuel and weather effects on fire behavior in the oak forests of Southern Sweden O. Wepryk et al. https://doi.org/10.1080/02827581.2025.2531994
- How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. https://doi.org/10.1029/2020EF001786
- Impacts of Degradation on Water, Energy, and Carbon Cycling of the Amazon Tropical Forests M. Longo et al. https://doi.org/10.1029/2020JG005677
- Variability of fire emissions on interannual to multi-decadal timescales in two Earth System models D. Ward et al. https://doi.org/10.1088/1748-9326/11/12/125008
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. https://doi.org/10.1029/2020RG000726
- After the flames then what? exploring the linkages between wildfires and household food security in the northern Savannah of Ghana D. Kpienbaareh & I. Luginaah https://doi.org/10.1080/13504509.2019.1640311
- Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. https://doi.org/10.5194/gmd-13-3299-2020
- Mapping burnt areas in the semi-arid savannahs: an exploration of SVM classification and field surveys D. Kpienbaareh & I. Luginaah https://doi.org/10.1007/s10708-019-10107-0
- Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations S. Venevsky et al. https://doi.org/10.5194/gmd-12-89-2019
- Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. https://doi.org/10.5194/acp-19-12545-2019
- Pervasive shifts in forest dynamics in a changing world N. McDowell et al. https://doi.org/10.1126/science.aaz9463
- 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. https://doi.org/10.5194/gmd-11-815-2018
- The Global Fire Atlas of individual fire size, duration, speed and direction N. Andela et al. https://doi.org/10.5194/essd-11-529-2019
- Evaluation of climate‐related carbon turnover processes in global vegetation models for boreal and temperate forests M. Thurner et al. https://doi.org/10.1111/gcb.13660
- Grand Challenges in Understanding the Interplay of Climate and Land Changes S. Liu et al. https://doi.org/10.1175/EI-D-16-0012.1
- Varying relationships between fire radiative power and fire size at a global scale P. Laurent et al. https://doi.org/10.5194/bg-16-275-2019
- Development of a statistical model for global burned area simulation within a DGVM-compatible framework B. Kavhu et al. https://doi.org/10.5194/bg-22-7001-2025
- Negligent and intentional fires in Portugal: Spatial distribution characterization J. Parente et al. https://doi.org/10.1016/j.scitotenv.2017.12.013
- Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. https://doi.org/10.5194/bg-16-3147-2019
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