The status and challenge of global fire modelling
Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geograp...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-06-01
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| Series: | Biogeosciences |
| Online Access: | http://www.biogeosciences.net/13/3359/2016/bg-13-3359-2016.pdf |
| _version_ | 1818518904401559552 |
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| author | S. Hantson A. Arneth S. P. Harrison D. I. Kelley I. C. Prentice S. S. Rabin S. Archibald F. Mouillot S. R. Arnold P. Artaxo D. Bachelet P. Ciais M. Forrest P. Friedlingstein T. Hickler J. O. Kaplan S. Kloster W. Knorr G. Lasslop F. Li S. Mangeon J. R. Melton A. Meyn S. Sitch A. Spessa G. R. van der Werf A. Voulgarakis C. Yue |
| author_facet | S. Hantson A. Arneth S. P. Harrison D. I. Kelley I. C. Prentice S. S. Rabin S. Archibald F. Mouillot S. R. Arnold P. Artaxo D. Bachelet P. Ciais M. Forrest P. Friedlingstein T. Hickler J. O. Kaplan S. Kloster W. Knorr G. Lasslop F. Li S. Mangeon J. R. Melton A. Meyn S. Sitch A. Spessa G. R. van der Werf A. Voulgarakis C. Yue |
| author_sort | S. Hantson |
| collection | DOAJ |
| description | Biomass burning impacts vegetation dynamics,
biogeochemical cycling, atmospheric chemistry, and climate, with sometimes
deleterious socio-economic impacts. Under future climate projections it is
often expected that the risk of wildfires will increase. Our ability to
predict the magnitude and geographic pattern of future fire impacts rests on
our ability to model fire regimes, using either well-founded empirical
relationships or process-based models with good predictive skill. While a
large variety of models exist today, it is still unclear which type of model
or degree of complexity is required to model fire adequately at regional to
global scales. This is the central question underpinning the creation of the
Fire Model Intercomparison Project (FireMIP), an international initiative to
compare and evaluate existing global fire models against benchmark data sets
for present-day and historical conditions. In this paper we review how fires
have been represented in fire-enabled dynamic global vegetation
models (DGVMs) and give an overview of the
current state of the art in fire-regime modelling. We indicate which
challenges still remain in global fire modelling and stress the need for a
comprehensive model evaluation and outline what lessons may be learned from
FireMIP. |
| first_indexed | 2024-12-11T01:16:41Z |
| format | Article |
| id | doaj.art-481ca58e340b47a6a15056387db15c32 |
| institution | Directory Open Access Journal |
| issn | 1726-4170 1726-4189 |
| language | English |
| last_indexed | 2024-12-11T01:16:41Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Biogeosciences |
| spelling | doaj.art-481ca58e340b47a6a15056387db15c322022-12-22T01:25:52ZengCopernicus PublicationsBiogeosciences1726-41701726-41892016-06-0113113359337510.5194/bg-13-3359-2016The status and challenge of global fire modellingS. Hantson0A. Arneth1S. P. Harrison2D. I. Kelley3I. C. Prentice4S. S. Rabin5S. Archibald6F. Mouillot7S. R. Arnold8P. Artaxo9D. Bachelet10P. Ciais11M. Forrest12P. Friedlingstein13T. Hickler14J. O. Kaplan15S. Kloster16W. Knorr17G. Lasslop18F. Li19S. Mangeon20J. R. Melton21A. Meyn22S. Sitch23A. Spessa24G. R. van der Werf25A. Voulgarakis26C. Yue27Karlsruhe Institute of Technology, Institute of Meteorology and Climate research, Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, GermanyKarlsruhe Institute of Technology, Institute of Meteorology and Climate research, Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, GermanySchool of Archaeology, Geography and Environmental Sciences (SAGES), University of Reading, Reading, UKSchool of Archaeology, Geography and Environmental Sciences (SAGES), University of Reading, Reading, UKSchool of Biological Sciences, Macquarie University, North Ryde, NSW 2109, AustraliaDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USASchool of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg 2050, South AfricaUMR5175 CEFE, CNRS/Université de Montpellier/Université Paul-Valéry Montpellier/EPHE/IRD, 1919 route de Mende, 34293 Montpellier CEDEX 5, FranceInstitute for Climate and Atmospheric Science, School of Earth & Environment, University of Leeds, Leeds, UKInstitute of Physics, University of São Paulo, Rua do Matão, Travessa R, 187, CEP05508-090, São Paulo, S.P., BrazilBiological and Ecological Engineering, Oregon State University, Corvallis, OR 97331, USALaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91198 Gif-sur-Yvette, FranceSenckenberg Biodiversity and Climate Research Institute (BiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, GermanyCollege of Engineering Mathematics and Physical Sciences, University of Exeter, Exeter, UKSenckenberg Biodiversity and Climate Research Institute (BiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, GermanyInstitute of Earth Surface Dynamics, University of Lausanne, 1015 Lausanne, SwitzerlandMax Planck Institute for Meteorology, Bundesstraße 53, 20164 Hamburg, GermanyDepartment of Physical Geography and Ecosystem Science, Lund University, 22362 Lund, SwedenMax Planck Institute for Meteorology, Bundesstraße 53, 20164 Hamburg, GermanyInternational Center for Climate and Environmental Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaDepartment of Physics, Imperial College London, London, UKClimate Research Division, Environment Canada, Victoria, BC, V8W 2Y2, CanadaKarlsruhe Institute of Technology, Atmosphere and Climate Programme, 76344 Eggenstein-Leopoldshafen, GermanyCollege of Life and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UKDepartment of Environment, Earth and Ecosystems, Open University, Milton Keynes, UKFaculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081HV, Amsterdam, the NetherlandsDepartment of Physics, Imperial College London, London, UKLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91198 Gif-sur-Yvette, FranceBiomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geographic pattern of future fire impacts rests on our ability to model fire regimes, using either well-founded empirical relationships or process-based models with good predictive skill. While a large variety of models exist today, it is still unclear which type of model or degree of complexity is required to model fire adequately at regional to global scales. This is the central question underpinning the creation of the Fire Model Intercomparison Project (FireMIP), an international initiative to compare and evaluate existing global fire models against benchmark data sets for present-day and historical conditions. In this paper we review how fires have been represented in fire-enabled dynamic global vegetation models (DGVMs) and give an overview of the current state of the art in fire-regime modelling. We indicate which challenges still remain in global fire modelling and stress the need for a comprehensive model evaluation and outline what lessons may be learned from FireMIP.http://www.biogeosciences.net/13/3359/2016/bg-13-3359-2016.pdf |
| spellingShingle | S. Hantson A. Arneth S. P. Harrison D. I. Kelley I. C. Prentice S. S. Rabin S. Archibald F. Mouillot S. R. Arnold P. Artaxo D. Bachelet P. Ciais M. Forrest P. Friedlingstein T. Hickler J. O. Kaplan S. Kloster W. Knorr G. Lasslop F. Li S. Mangeon J. R. Melton A. Meyn S. Sitch A. Spessa G. R. van der Werf A. Voulgarakis C. Yue The status and challenge of global fire modelling Biogeosciences |
| title | The status and challenge of global fire modelling |
| title_full | The status and challenge of global fire modelling |
| title_fullStr | The status and challenge of global fire modelling |
| title_full_unstemmed | The status and challenge of global fire modelling |
| title_short | The status and challenge of global fire modelling |
| title_sort | status and challenge of global fire modelling |
| url | http://www.biogeosciences.net/13/3359/2016/bg-13-3359-2016.pdf |
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