Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-179-2019
© 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-12-179-2019
© 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
| 
09 Jan 2019
Development and technical paper |
| 09 Jan 2019
| 09 Jan 2019
Representation of fire, land-use change and vegetation dynamics in the Joint UK Land Environment Simulator vn4.9 (JULES)
Chantelle Burton
CORRESPONDING AUTHOR
Met Office Hadley Centre, Exeter, EX1 3PB, UK
College of Life and Environmental Science, University of Exeter, Exeter, EX4 4SB, UK
Richard Betts
Met Office Hadley Centre, Exeter, EX1 3PB, UK
College of Life and Environmental Science, University of Exeter, Exeter, EX4 4SB, UK
Manoel Cardoso
Brazilian Institute for Space Research (INPE), Earth System Science Center (CCST), São José dos Campos, Brazil
Ted R. Feldpausch
College of Life and Environmental Science, University of Exeter, Exeter, EX4 4SB, UK
Anna Harper
College of Life and Environmental Science, University of Exeter, Exeter, EX4 4SB, UK
Chris D. Jones
Met Office Hadley Centre, Exeter, EX1 3PB, UK
Douglas I. Kelley
Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK
Eddy Robertson
Met Office Hadley Centre, Exeter, EX1 3PB, UK
Andy Wiltshire
Met Office Hadley Centre, Exeter, EX1 3PB, UK
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Cited
36 citations as recorded by crossref.
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- The Earth system model CLIMBER-X v1.0 – Part 1: Climate model description and validation M. Willeit et al. 10.5194/gmd-15-5905-2022
- Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. 10.1111/gcb.15160
- Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. 10.5194/gmd-14-6515-2021
- Global Carbon Budget 2023 P. Friedlingstein et al. 10.5194/essd-15-5301-2023
- Savanna fire regimes depend on grass trait diversity K. Simpson et al. 10.1016/j.tree.2022.04.010
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- The Local Biophysical Response to Land-Use Change in HadGEM2-ES E. Robertson 10.1175/JCLI-D-18-0738.1
- Scale‐Dependent Estimability of Turbulent Flux in the Unstable Surface Layer for Land Surface Modeling S. Liu et al. 10.1029/2022MS003567
- RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al. 10.1029/2023AV001024
- Post-fire assessment of recovery of montane forest composition and stand parameters using in situ measurements and remote sensing data D. Tesha et al. 10.1016/j.tfp.2023.100464
- Skillful seasonal prediction of key carbon cycle components: NPP and fire risk P. Bett et al. 10.1088/2515-7620/ab8b29
- How contemporary bioclimatic and human controls change global fire regimes D. Kelley et al. 10.1038/s41558-019-0540-7
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. 10.1029/2019MS001739
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- JULES-CN: a coupled terrestrial carbon–nitrogen scheme (JULES vn5.1) A. Wiltshire et al. 10.5194/gmd-14-2161-2021
- The Earth system model CLIMBER-X v1.0 – Part 2: The global carbon cycle M. Willeit et al. 10.5194/gmd-16-3501-2023
- Quantifying the environmental limits to fire spread in grassy ecosystems A. Cardoso et al. 10.1073/pnas.2110364119
- Assessing Model Predictions of Carbon Dynamics in Global Drylands D. Fawcett et al. 10.3389/fenvs.2022.790200
- Fire Dynamics in an Emerging Deforestation Frontier in Southwestern Amazonia, Brazil D. Dutra et al. 10.3390/fire6010002
- Impact of merging of historical and future climate data sets on land carbon cycle projections for South America C. Huntingford et al. 10.1002/cli2.24
- Terrestrial carbon dynamics in an era of increasing wildfire T. Hudiburg et al. 10.1038/s41558-023-01881-4
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- Limited Mitigation Potential of Forestation Under a High Emissions Scenario: Results From Multi‐Model and Single Model Ensembles T. Loughran et al. 10.1029/2023JG007605
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- 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
- Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability A. Argles et al. 10.1371/journal.pclm.0000068
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- 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
- Unitemporal approach to fire severity mapping using multispectral synthetic databases and Random Forests R. Montorio et al. 10.1016/j.rse.2020.112025
- Reduced-order digital twin and latent data assimilation for global wildfire prediction C. Zhong et al. 10.5194/nhess-23-1755-2023
- A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. 10.5194/gmd-17-3993-2024
36 citations as recorded by crossref.
- Global Carbon Budget 2022 P. Friedlingstein et al. 10.5194/essd-14-4811-2022
- Global Carbon Budget 2021 P. Friedlingstein et al. 10.5194/essd-14-1917-2022
- The Earth system model CLIMBER-X v1.0 – Part 1: Climate model description and validation M. Willeit et al. 10.5194/gmd-15-5905-2022
- Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. 10.1111/gcb.15160
- Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. 10.5194/gmd-14-6515-2021
- Global Carbon Budget 2023 P. Friedlingstein et al. 10.5194/essd-15-5301-2023
- Savanna fire regimes depend on grass trait diversity K. Simpson et al. 10.1016/j.tree.2022.04.010
- El Niño Driven Changes in Global Fire 2015/16 C. Burton et al. 10.3389/feart.2020.00199
- 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
- The Local Biophysical Response to Land-Use Change in HadGEM2-ES E. Robertson 10.1175/JCLI-D-18-0738.1
- Scale‐Dependent Estimability of Turbulent Flux in the Unstable Surface Layer for Land Surface Modeling S. Liu et al. 10.1029/2022MS003567
- RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al. 10.1029/2023AV001024
- Post-fire assessment of recovery of montane forest composition and stand parameters using in situ measurements and remote sensing data D. Tesha et al. 10.1016/j.tfp.2023.100464
- Skillful seasonal prediction of key carbon cycle components: NPP and fire risk P. Bett et al. 10.1088/2515-7620/ab8b29
- How contemporary bioclimatic and human controls change global fire regimes D. Kelley et al. 10.1038/s41558-019-0540-7
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. 10.1029/2019MS001739
- Spin‐up of UK Earth System Model 1 (UKESM1) for CMIP6 A. Yool et al. 10.1029/2019MS001933
- JULES-CN: a coupled terrestrial carbon–nitrogen scheme (JULES vn5.1) A. Wiltshire et al. 10.5194/gmd-14-2161-2021
- The Earth system model CLIMBER-X v1.0 – Part 2: The global carbon cycle M. Willeit et al. 10.5194/gmd-16-3501-2023
- Quantifying the environmental limits to fire spread in grassy ecosystems A. Cardoso et al. 10.1073/pnas.2110364119
- Assessing Model Predictions of Carbon Dynamics in Global Drylands D. Fawcett et al. 10.3389/fenvs.2022.790200
- Fire Dynamics in an Emerging Deforestation Frontier in Southwestern Amazonia, Brazil D. Dutra et al. 10.3390/fire6010002
- Impact of merging of historical and future climate data sets on land carbon cycle projections for South America C. Huntingford et al. 10.1002/cli2.24
- Terrestrial carbon dynamics in an era of increasing wildfire T. Hudiburg et al. 10.1038/s41558-023-01881-4
- Robust Ecosystem Demography (RED version 1.0): a parsimonious approach to modelling vegetation dynamics in Earth system models A. Argles et al. 10.5194/gmd-13-4067-2020
- MODIS Vegetation Continuous Fields tree cover needs calibrating in tropical savannas R. Adzhar et al. 10.5194/bg-19-1377-2022
- Limited Mitigation Potential of Forestation Under a High Emissions Scenario: Results From Multi‐Model and Single Model Ensembles T. Loughran et al. 10.1029/2023JG007605
- Fragmentation-Driven Divergent Trends in Burned Area in Amazonia and Cerrado T. Rosan et al. 10.3389/ffgc.2022.801408
- 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
- Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability A. Argles et al. 10.1371/journal.pclm.0000068
- Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. 10.5194/gmd-16-4249-2023
- 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
- Unitemporal approach to fire severity mapping using multispectral synthetic databases and Random Forests R. Montorio et al. 10.1016/j.rse.2020.112025
- Reduced-order digital twin and latent data assimilation for global wildfire prediction C. Zhong et al. 10.5194/nhess-23-1755-2023
- A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. 10.5194/gmd-17-3993-2024
Latest update: 29 Jun 2024
Short summary
Fire and land-use change are important disturbances within the Earth system, and their inclusion in models is critical to enable the correct simulation of vegetation cover. Here we describe developments to the land surface model JULES to represent explicit land-use change and fire and to assess the effects of each process on present day vegetation compared to observations. Using historical land-use data and the fire model INFERNO, overall model results are improved by the developments.
Fire and land-use change are important disturbances within the Earth system, and their inclusion...
