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  The status and challenge of global fire modelling

Hantson, S., Arneth, A., Harrison, S. P., Kelley, D. I., Prentice, I. C., Rabin, S. S., et al. (2016). The status and challenge of global fire modelling. Biogeosciences, 13, 3359-3375. doi:10.5194/bg-2016-17.

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bg-13-3359-2016.pdf (Verlagsversion), 4MB
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bg-13-3359-2016.pdf
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Final Revised Paper
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Hantson, S., Autor
Arneth, A., Autor
Harrison, S. P., Autor
Kelley, D. I., Autor
Prentice, I. C., Autor
Rabin, S. S., Autor
Archibald, S., Autor
Mouillot, F., Autor
Arnold, S. R., Autor
Artaxo, P., Autor
Bachelet, D., Autor
Ciais, P., Autor
Forrest, M., Autor
Friedlingstein, P., Autor
Hickler, T., Autor
Kaplan, J. O., Autor
Kloster, Silvia1, Autor           
Knorr, W., Autor
Lasslop, Gitta1, Autor           
Li, F., Autor
Mangeon, S., AutorMelton, J. R., AutorMeyn, A., AutorSitch, S., AutorSpessa, A.2, Autorvan der Werf, G. R., AutorVoulgarakis, A., AutorYue, C., Autor mehr..
Affiliations:
1Emmy Noether Junior Research Group Fire in the Earth System, The Land in the Earth System, MPI for Meteorology, Max Planck Society, ou_913563              
2Max Planck Institute for Chemistry, Max Planck Society, Hahn-Meitner-Weg 1, 55128 Mainz, DE, ou_1826284              

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 Zusammenfassung: 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, either using well-founded empirical relationships or process-based models with good predictive skill. A large variety of models exist today and 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 project to compare and evaluate existing global fire models against benchmark data sets for present-day and historical conditions. In this paper we summarise the current state-of-the-art in fire regime modelling and model evaluation, and outline what lessons may be learned from FireMIP

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Sprache(n): eng - English
 Datum: 2016-02201620162016
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.5194/bg-2016-17
 Art des Abschluß: -

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Titel: Biogeosciences
  Andere : Biogeosciences
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Katlenburg-Lindau, Germany : Copernicus GmbH on behalf of the European Geosciences Union
Seiten: - Band / Heft: 13 Artikelnummer: - Start- / Endseite: 3359 - 3375 Identifikator: ISSN: 1726-4170
CoNE: https://pure.mpg.de/cone/journals/resource/111087929276006