Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-89-2019
© 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-12-89-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
04 Jan 2019
Model description paper |
| 04 Jan 2019
| 04 Jan 2019
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
Sergey Venevsky
CORRESPONDING AUTHOR
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
Yannick Le Page
Technical University of Lisbon, Instituto Superior de Agronomia, Department of Forestry, Tapada da Ajuda 1349-017 Lisbon, Portugal
José M. C. Pereira
Technical University of Lisbon, Instituto Superior de Agronomia, Department of Forestry, Tapada da Ajuda 1349-017 Lisbon, Portugal
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
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Cited
17 citations as recorded by crossref.
- Description of local carbon flux from large scale gridded climate data by a dynamic global vegetation model at variable time steps: Example of Euroflux sites M. Wang et al. 10.1016/j.scitotenv.2020.143492
- Assessing impacts of future climate change on extreme fire weather and pyro-regions in Iberian Peninsula T. Calheiros et al. 10.1016/j.scitotenv.2020.142233
- How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. 10.1029/2020EF001786
- The complex Andes region needs improved efforts to face climate extremes M. Cazorla et al. 10.1525/elementa.2022.00092
- Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
- Reimagine fire science for the anthropocene J. Shuman et al. 10.1093/pnasnexus/pgac115
- Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake C. Wu et al. 10.1073/pnas.2101186119
- Historical and future global burned area with changing climate and human demography C. Wu et al. 10.1016/j.oneear.2021.03.002
- Quantifying and mapping cooling services of multiple ecosystems C. Park et al. 10.1016/j.scs.2021.103123
- 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
- Fire Responses Shape Plant Communities in a Minimal Model for Fire Ecosystems across the World M. Magnani et al. 10.1086/725391
- A Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting Machine Algorithm Y. Sun et al. 10.3390/rs14174362
- 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
- Biomass burning-agriculture coupling in the Orinoco savannas—Particulate matter emission scenarios R. Jimenez et al. 10.3389/fenvs.2022.689844
- 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
- VPD-based models of dead fine fuel moisture provide best estimates in a global dataset M. Rodrigues et al. 10.1016/j.agrformet.2023.109868
- 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. 10.5194/gmd-12-89-2019
16 citations as recorded by crossref.
- Description of local carbon flux from large scale gridded climate data by a dynamic global vegetation model at variable time steps: Example of Euroflux sites M. Wang et al. 10.1016/j.scitotenv.2020.143492
- Assessing impacts of future climate change on extreme fire weather and pyro-regions in Iberian Peninsula T. Calheiros et al. 10.1016/j.scitotenv.2020.142233
- How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. 10.1029/2020EF001786
- The complex Andes region needs improved efforts to face climate extremes M. Cazorla et al. 10.1525/elementa.2022.00092
- Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
- Reimagine fire science for the anthropocene J. Shuman et al. 10.1093/pnasnexus/pgac115
- Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake C. Wu et al. 10.1073/pnas.2101186119
- Historical and future global burned area with changing climate and human demography C. Wu et al. 10.1016/j.oneear.2021.03.002
- Quantifying and mapping cooling services of multiple ecosystems C. Park et al. 10.1016/j.scs.2021.103123
- 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
- Fire Responses Shape Plant Communities in a Minimal Model for Fire Ecosystems across the World M. Magnani et al. 10.1086/725391
- A Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting Machine Algorithm Y. Sun et al. 10.3390/rs14174362
- 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
- Biomass burning-agriculture coupling in the Orinoco savannas—Particulate matter emission scenarios R. Jimenez et al. 10.3389/fenvs.2022.689844
- 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
- VPD-based models of dead fine fuel moisture provide best estimates in a global dataset M. Rodrigues et al. 10.1016/j.agrformet.2023.109868
Latest update: 25 Apr 2024
Short summary
We present SEVER-FIRE (v1.0), incorporated into the SEVER DGVM. One of the major focuses of SEVER-FIRE is an implementation of the pyrogenic behavior of humans (timing of their activities and their willingness and necessity to ignite or suppress fire), related to socioeconomic and demographic conditions in a geographical domain of the model application. Unlike other DGVM- and ESM-based global fire models, we do not use any satellite-derived assumptions in equations of fire model development.
We present SEVER-FIRE (v1.0), incorporated into the SEVER DGVM. One of the major focuses of...
