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Article: The status and challenge of global fire modelling

TitleThe status and challenge of global fire modelling
Authors
Issue Date2016
Citation
Biogeosciences, 2016, v. 13, n. 11, p. 3359-3375 How to Cite?
Abstract© Author(s) 2016. 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.
Persistent Identifierhttp://hdl.handle.net/10722/268578
ISSN
2020 Impact Factor: 4.295
2020 SCImago Journal Rankings: 1.744
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHantson, Stijn-
dc.contributor.authorArneth, Almut-
dc.contributor.authorHarrison, Sandy P.-
dc.contributor.authorKelley, Douglas I.-
dc.contributor.authorColin Prentice, I.-
dc.contributor.authorRabin, Sam S.-
dc.contributor.authorArchibald, Sally-
dc.contributor.authorMouillot, Florent-
dc.contributor.authorArnold, Steve R.-
dc.contributor.authorArtaxo, Paulo-
dc.contributor.authorBachelet, Dominique-
dc.contributor.authorCiais, Philippe-
dc.contributor.authorForrest, Matthew-
dc.contributor.authorFriedlingstein, Pierre-
dc.contributor.authorHickler, Thomas-
dc.contributor.authorKaplan, Jed O.-
dc.contributor.authorKloster, Silvia-
dc.contributor.authorKnorr, Wolfgang-
dc.contributor.authorLasslop, Gitta-
dc.contributor.authorLi, Fang-
dc.contributor.authorMangeon, Stephane-
dc.contributor.authorMelton, Joe R.-
dc.contributor.authorMeyn, Andrea-
dc.contributor.authorSitch, Stephen-
dc.contributor.authorSpessa, Allan-
dc.contributor.authorVan Der Werf, Guido R.-
dc.contributor.authorVoulgarakis, Apostolos-
dc.contributor.authorYue, Chao-
dc.date.accessioned2019-03-25T08:00:07Z-
dc.date.available2019-03-25T08:00:07Z-
dc.date.issued2016-
dc.identifier.citationBiogeosciences, 2016, v. 13, n. 11, p. 3359-3375-
dc.identifier.issn1726-4170-
dc.identifier.urihttp://hdl.handle.net/10722/268578-
dc.description.abstract© Author(s) 2016. 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.-
dc.languageeng-
dc.relation.ispartofBiogeosciences-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleThe status and challenge of global fire modelling-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5194/bg-13-3359-2016-
dc.identifier.scopuseid_2-s2.0-84974578310-
dc.identifier.volume13-
dc.identifier.issue11-
dc.identifier.spage3359-
dc.identifier.epage3375-
dc.identifier.eissn1726-4189-
dc.identifier.isiWOS:000379425100011-
dc.identifier.issnl1726-4170-

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