Articles | Volume 12, issue 11
https://doi.org/10.5194/gmd-12-4681-2019
© Author(s) 2019. 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-12-4681-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
08 Nov 2019
Development and technical paper |
| 08 Nov 2019
| 08 Nov 2019
Modelling biomass burning emissions and the effect of spatial resolution: a case study for Africa based on the Global Fire Emissions Database (GFED)
Department of Earth Sciences, Vrije Universiteit, Amsterdam, 1081 HV,
the Netherlands
Guido R. van der Werf
Department of Earth Sciences, Vrije Universiteit, Amsterdam, 1081 HV,
the Netherlands
Viewed
Total article views: 3,322 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 May 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,241 | 1,008 | 73 | 3,322 | 176 | 90 | 121 |
- HTML: 2,241
- PDF: 1,008
- XML: 73
- Total: 3,322
- Supplement: 176
- BibTeX: 90
- EndNote: 121
Total article views: 2,743 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Nov 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,948 | 725 | 70 | 2,743 | 176 | 80 | 111 |
- HTML: 1,948
- PDF: 725
- XML: 70
- Total: 2,743
- Supplement: 176
- BibTeX: 80
- EndNote: 111
Total article views: 579 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 May 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 293 | 283 | 3 | 579 | 10 | 10 |
- HTML: 293
- PDF: 283
- XML: 3
- Total: 579
- BibTeX: 10
- EndNote: 10
Viewed (geographical distribution)
Total article views: 3,322 (including HTML, PDF, and XML)
Thereof 2,901 with geography defined
and 421 with unknown origin.
Total article views: 2,743 (including HTML, PDF, and XML)
Thereof 2,453 with geography defined
and 290 with unknown origin.
Total article views: 579 (including HTML, PDF, and XML)
Thereof 448 with geography defined
and 131 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
18 citations as recorded by crossref.
- Chemical Tomography in a Fresh Wildland Fire Plume: A Large Eddy Simulation (LES) Study S. Wang et al. 10.1029/2021JD035203
- Global rise in forest fire emissions linked to climate change in the extratropics M. Jones et al. 10.1126/science.adl5889
- Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications F. Li et al. 10.1016/j.rse.2022.113237
- 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
- Dynamic savanna burning emission factors based on satellite data using a machine learning approach R. Vernooij et al. 10.5194/esd-14-1039-2023
- 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
- Inversion of the global carbonaceous aerosol components (CACs) based on ground-based remote sensing of AERONET Z. Yang et al. 10.1016/j.envint.2025.109432
- Instantaneous Pre-Fire Biomass and Fuel Load Measurements from Multi-Spectral UAS Mapping in Southern African Savannas T. Eames et al. 10.3390/fire4010002
- Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B. Gaubert et al. 10.1029/2023GB007804
- Fire reduces riverine DOC concentration draining a watershed and alters post-fire DOC recovery patterns X. Wei et al. 10.1088/1748-9326/abd7ae
- Underestimated contribution of open biomass burning to terpenoid emissions revealed by a novel hourly dynamic inventory J. Li et al. 10.1016/j.scitotenv.2024.172764
- Investigating the dispersion and transport of carbon monoxide in West Africa with a focus on biomass burning and gas flaring sources A. Onojeghuo et al. 10.1007/s44292-025-00038-6
- High Resolution (30 m) Burned Area Product Improves the Ability for Carbon Emission Estimation in Africa B. Qi et al. 10.1029/2024EF005051
- 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
- Near-real time monitoring of burned area at global scale based on deep learning M. Padilla et al. 10.1080/01431161.2025.2528256
- Sensitivity of biomass burning emissions estimates to land surface information M. Saito et al. 10.5194/bg-19-2059-2022
- African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data R. Ramo et al. 10.1073/pnas.2011160118
- Forty-Year Fire History Reconstruction from Landsat Data in Mediterranean Ecosystems of Algeria following International Standards M. Kouachi et al. 10.3390/rs16132500
18 citations as recorded by crossref.
- Chemical Tomography in a Fresh Wildland Fire Plume: A Large Eddy Simulation (LES) Study S. Wang et al. 10.1029/2021JD035203
- Global rise in forest fire emissions linked to climate change in the extratropics M. Jones et al. 10.1126/science.adl5889
- Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications F. Li et al. 10.1016/j.rse.2022.113237
- 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
- Dynamic savanna burning emission factors based on satellite data using a machine learning approach R. Vernooij et al. 10.5194/esd-14-1039-2023
- 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
- Inversion of the global carbonaceous aerosol components (CACs) based on ground-based remote sensing of AERONET Z. Yang et al. 10.1016/j.envint.2025.109432
- Instantaneous Pre-Fire Biomass and Fuel Load Measurements from Multi-Spectral UAS Mapping in Southern African Savannas T. Eames et al. 10.3390/fire4010002
- Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B. Gaubert et al. 10.1029/2023GB007804
- Fire reduces riverine DOC concentration draining a watershed and alters post-fire DOC recovery patterns X. Wei et al. 10.1088/1748-9326/abd7ae
- Underestimated contribution of open biomass burning to terpenoid emissions revealed by a novel hourly dynamic inventory J. Li et al. 10.1016/j.scitotenv.2024.172764
- Investigating the dispersion and transport of carbon monoxide in West Africa with a focus on biomass burning and gas flaring sources A. Onojeghuo et al. 10.1007/s44292-025-00038-6
- High Resolution (30 m) Burned Area Product Improves the Ability for Carbon Emission Estimation in Africa B. Qi et al. 10.1029/2024EF005051
- 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
- Near-real time monitoring of burned area at global scale based on deep learning M. Padilla et al. 10.1080/01431161.2025.2528256
- Sensitivity of biomass burning emissions estimates to land surface information M. Saito et al. 10.5194/bg-19-2059-2022
- African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data R. Ramo et al. 10.1073/pnas.2011160118
- Forty-Year Fire History Reconstruction from Landsat Data in Mediterranean Ecosystems of Algeria following International Standards M. Kouachi et al. 10.3390/rs16132500
Latest update: 28 Aug 2025
Short summary
For this paper, a novel high spatial-resolution fire emission model based on the Global Fire Emissions Database (GFED) modelling framework was developed and compared to a coarser-resolution version of the same model. Our findings highlight the importance of fine spatial resolution when modelling global-scale fire emissions, especially considering the comparison of model pixels to individual field measurements and the model representation of heterogeneity in the landscape.
For this paper, a novel high spatial-resolution fire emission model based on the Global Fire...
