Articles | Volume 9, issue 8
https://doi.org/10.5194/gmd-9-2685-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-2685-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
16 Aug 2016
Model description paper |
| 16 Aug 2016
INFERNO: a fire and emissions scheme for the UK Met Office's Unified Model
Stéphane Mangeon
CORRESPONDING AUTHOR
Department of Physics, Imperial College London, London, UK
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Apostolos Voulgarakis
Department of Physics, Imperial College London, London, UK
Richard Gilham
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Anna Harper
College of Engineering, Mathematics, and Physical Sciences, University
of Exeter, Exeter, UK
Stephen Sitch
College of Life and Environmental Sciences, University of Exeter,
Exeter, UK
Gerd Folberth
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
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- Fire weakens land carbon sinks before 1.5 °C C. Burton et al. 10.1038/s41561-024-01554-7
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- Fractal and Spectral Analysis of Recent Wildfire Scars in Greece I. Rosu et al. 10.1007/s10694-023-01497-2
- Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. 10.5194/bg-16-3147-2019
- Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. 10.5194/gmd-16-4249-2023
- The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. 10.5194/gmd-10-1175-2017
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- The Global Land Carbon Cycle Simulated With ISBA‐CTRIP: Improvements Over the Last Decade C. Delire et al. 10.1029/2019MS001886
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- Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. 10.5194/gmd-14-6515-2021
- Attributing human mortality from fire PM2.5 to climate change C. Park et al. 10.1038/s41558-024-02149-1
- Role of Fire in the Global Land Water Budget during the Twentieth Century due to Changing Ecosystems F. Li & D. Lawrence 10.1175/JCLI-D-16-0460.1
- Representation of fire, land-use change and vegetation dynamics in the Joint UK Land Environment Simulator vn4.9 (JULES) C. Burton et al. 10.5194/gmd-12-179-2019
- Skillful seasonal prediction of key carbon cycle components: NPP and fire risk P. Bett et al. 10.1088/2515-7620/ab8b29
- Spatial and temporal variation of air pollutant emissions from forest fires in China R. Song et al. 10.1016/j.atmosenv.2022.119156
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- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- Quantifying the environmental limits to fire spread in grassy ecosystems A. Cardoso et al. 10.1073/pnas.2110364119
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- Fire as a fundamental ecological process: Research advances and frontiers K. McLauchlan et al. 10.1111/1365-2745.13403
- Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale S. Cheng et al. 10.1109/TETCI.2024.3445450
- The status and challenge of global fire modelling S. Hantson et al. 10.5194/bg-13-3359-2016
36 citations as recorded by crossref.
- Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. 10.1029/2021MS002982
- Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. 10.5194/bg-16-3883-2019
- 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
- Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
- Fire weakens land carbon sinks before 1.5 °C C. Burton et al. 10.1038/s41561-024-01554-7
- Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. 10.5194/acp-19-12545-2019
- Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al. 10.1080/17538947.2019.1597187
- The global drivers of wildfire O. Haas et al. 10.3389/fenvs.2024.1438262
- Forcing the Global Fire Emissions Database burned-area dataset into the Community Land Model version 5.0: impacts on carbon and water fluxes at high latitudes H. Seo & Y. Kim 10.5194/gmd-16-4699-2023
- Fractal and Spectral Analysis of Recent Wildfire Scars in Greece I. Rosu et al. 10.1007/s10694-023-01497-2
- Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. 10.5194/bg-16-3147-2019
- Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. 10.5194/gmd-16-4249-2023
- The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. 10.5194/gmd-10-1175-2017
- Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. 10.5194/gmd-13-3299-2020
- Vegetation distribution and terrestrial carbon cycle in a carbon cycle configuration of JULES4.6 with new plant functional types A. Harper et al. 10.5194/gmd-11-2857-2018
- The Global Land Carbon Cycle Simulated With ISBA‐CTRIP: Improvements Over the Last Decade C. Delire et al. 10.1029/2019MS001886
- A human-driven decline in global burned area N. Andela et al. 10.1126/science.aal4108
- The interactive global fire module pyrE (v1.0) K. Mezuman et al. 10.5194/gmd-13-3091-2020
- 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
- Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015) M. van Marle et al. 10.5194/gmd-10-3329-2017
- Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations X. Song et al. 10.1088/1748-9326/ab94e8
- Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. 10.5194/gmd-14-6515-2021
- Attributing human mortality from fire PM2.5 to climate change C. Park et al. 10.1038/s41558-024-02149-1
- Role of Fire in the Global Land Water Budget during the Twentieth Century due to Changing Ecosystems F. Li & D. Lawrence 10.1175/JCLI-D-16-0460.1
- Representation of fire, land-use change and vegetation dynamics in the Joint UK Land Environment Simulator vn4.9 (JULES) C. Burton et al. 10.5194/gmd-12-179-2019
- Skillful seasonal prediction of key carbon cycle components: NPP and fire risk P. Bett et al. 10.1088/2515-7620/ab8b29
- Spatial and temporal variation of air pollutant emissions from forest fires in China R. Song et al. 10.1016/j.atmosenv.2022.119156
- The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description M. Longo et al. 10.5194/gmd-12-4309-2019
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- Quantifying the environmental limits to fire spread in grassy ecosystems A. Cardoso et al. 10.1073/pnas.2110364119
- California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States J. Gomez et al. 10.5194/acp-24-6937-2024
- Fire detection and suppression in gas-plants using automatic sensors among electrical/electronic technology education graduates in Nigeria I. Ohanu & U. Egesimba 10.1177/01445987241266630
- El Niño Driven Changes in Global Fire 2015/16 C. Burton et al. 10.3389/feart.2020.00199
- Fire as a fundamental ecological process: Research advances and frontiers K. McLauchlan et al. 10.1111/1365-2745.13403
- Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale S. Cheng et al. 10.1109/TETCI.2024.3445450
1 citations as recorded by crossref.
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Short summary
To understand the role of fires in the Earth system, global fire models are required. In this paper we describe the INteractive Fire and Emission algoRithm for Natural envirOnments (INFERNO). It follows a reduced complexity approach using mainly temperature, humidity and precipitation. INFERNO was found to perform well on a global scale and to maintain regional patterns over the 1997–2011 period of study, despite regional biases particularly linked to fuel consumption.
To understand the role of fires in the Earth system, global fire models are required. In this...
