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.
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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- The Global Forest Fire Emissions Prediction System version 1.0 K. Anderson et al. 10.5194/gmd-17-7713-2024
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- 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
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- Global patterns and drivers of tropical aboveground carbon changes Y. Feng et al. 10.1038/s41558-024-02115-x
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- 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
- Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa B. Ouattara et al. 10.1016/j.srs.2024.100165
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- Substantial Mercury Releases and Local Deposition from Permafrost Peatland Wildfires in Southwestern Alaska S. Zolkos et al. 10.1021/acs.est.4c08765
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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: 20 Nov 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...