Articles | Volume 15, issue 22
https://doi.org/10.5194/gmd-15-8411-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-8411-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| Highlight paper
| 
21 Nov 2022
Model description paper | Highlight paper |
| 21 Nov 2022
| 21 Nov 2022
Global biomass burning fuel consumption and emissions at 500 m spatial resolution based on the Global Fire Emissions Database (GFED)
Department of Earth Sciences, Vrije Universiteit, Amsterdam, 1081 HV,
the Netherlands
Guido R. van der Werf
CORRESPONDING AUTHOR
Department of Earth Sciences, Vrije Universiteit, Amsterdam, 1081 HV,
the Netherlands
James T. Randerson
Department of Earth System Science, University of California, Irvine,
CA 92697, USA
Brendan M. Rogers
Woodwell Climate Research Center, Falmouth, MA 02540, USA
Yang Chen
Department of Earth System Science, University of California, Irvine,
CA 92697, USA
Sander Veraverbeke
Department of Earth Sciences, Vrije Universiteit, Amsterdam, 1081 HV,
the Netherlands
Louis Giglio
Department of Geographical Sciences, University of Maryland, College
Park, MD 20742, USA
Douglas C. Morton
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
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- Modeling polycyclic aromatic hydrocarbons (PAHs) concentrations from wildfires in California S. Zhu et al. 10.1016/j.agrformet.2024.110043
- Increasing aerosol emissions from boreal biomass burning exacerbate Arctic warming Q. Zhong et al. 10.1038/s41558-024-02176-y
- Increasing Fuel Loads, Fire Hazard, and Carbon Emissions from Fires in Central Siberia E. Kukavskaya et al. 10.3390/fire6020063
- Principles of fire ecology L. Kobziar et al. 10.1186/s42408-024-00272-0
- Contrasting trends of carbon emission from savanna and boreal forest fires during 1999–2022 Y. Liu & A. Ding 10.1002/met.2177
- The Global Forest Fire Emissions Prediction System version 1.0 K. Anderson et al. 10.5194/gmd-17-7713-2024
- Understanding Fire Regimes for a Better Anthropocene L. Kelly et al. 10.1146/annurev-environ-120220-055357
- Bacterial Emission Factors: A Foundation for the Terrestrial-Atmospheric Modeling of Bacteria Aerosolized by Wildland Fires L. Kobziar et al. 10.1021/acs.est.3c05142
- Burned area and carbon emissions across northwestern boreal North America from 2001–2019 S. Potter et al. 10.5194/bg-20-2785-2023
- Sentinel-2 Reference Fire Perimeters for the Assessment of Burned Area Products over Latin America and the Caribbean for the Year 2019 J. Gonzalez-Ibarzabal et al. 10.3390/rs16071166
- Global patterns and drivers of post-fire vegetation productivity recovery H. Xu et al. 10.1038/s41561-024-01520-3
- Emissions and Atmospheric Chemistry of Furanoids from Biomass Burning: Insights from Laboratory to Atmospheric Observations M. Romanias et al. 10.1021/acsearthspacechem.3c00226
- High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France L. Vallet et al. 10.5194/bg-20-3803-2023
- Estimating annual GHG and particulate matter emissions from rural and forest fires based on an integrated modelling approach C. Scarpa et al. 10.1016/j.scitotenv.2023.167960
- Global patterns and drivers of tropical aboveground carbon changes Y. Feng et al. 10.1038/s41558-024-02115-x
- A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. 10.5194/gmd-17-3993-2024
- INFERNO-peat v1.0.0: a representation of northern high-latitude peat fires in the JULES-INFERNO global fire model K. Blackford et al. 10.5194/gmd-17-3063-2024
- A global fuel characteristic model and dataset for wildfire prediction J. McNorton & F. Di Giuseppe 10.5194/bg-21-279-2024
- 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
- Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5) Y. Chen et al. 10.5194/essd-15-5227-2023
- Global rise in forest fire emissions linked to climate change in the extratropics M. Jones et al. 10.1126/science.adl5889
- A novel optimized spectral-based data driven approach for ecoregion burned scar detection S. Moshiri et al. 10.1080/01431161.2024.2429783
- Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa B. Ouattara et al. 10.1016/j.srs.2024.100165
- 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
- Substantial Mercury Releases and Local Deposition from Permafrost Peatland Wildfires in Southwestern Alaska S. Zolkos et al. 10.1021/acs.est.4c08765
- Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH) B. Duncan et al. 10.5194/acp-24-13001-2024
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- Global biomass burning fuel consumption and emissions at 500 m spatial resolution based on the Global Fire Emissions Database (GFED) D. van Wees et al. 10.5194/gmd-15-8411-2022
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Latest update: 13 Dec 2024
Executive editor
Fire is a pervasive feature of the Earth system, and a cause of significant carbon emissions. This manuscript presents a higher resolution fire emissions data set than previously available, thereby providing a valuable resource to the scientific community.
Fire is a pervasive feature of the Earth system, and a cause of significant carbon emissions....
Short summary
We present a global fire emission model based on the GFED model framework with a spatial resolution of 500 m. The higher resolution allowed for a more detailed representation of spatial heterogeneity in fuels and emissions. Specific modules were developed to model, for example, emissions from fire-related forest loss and belowground burning. Results from the 500 m model were compared to GFED4s, showing that global emissions were relatively similar but that spatial differences were substantial.
We present a global fire emission model based on the GFED model framework with a spatial...
