Publications des scientifiques de l'IRD

Hantson S., Arneth A., Harrison S. P., Kelley D. I., Prentice I. C., Rabin S. S., Archibald S., Mouillot Florent, Arnold S. R., Artaxo P., Bachelet D., Ciais P., Forrest M., Friedlingstein P., Hickler T., Kaplan J. O., Kloster S., Knorr W., Lasslop G., Li F., Mangeon S., Melton J. R., Meyn A., Sitch S., Spessa A., van der Werf G. R., Voulgarakis A., Yue C. (2016). The status and challenge of global fire modelling. Biogeosciences, 13 (11), p. 3359-3375. ISSN 1726-4170.

Titre du document
The status and challenge of global fire modelling
Année de publication
2016
Type de document
Article référencé dans le Web of Science WOS:000379425100011
Auteurs
Hantson S., Arneth A., Harrison S. P., Kelley D. I., Prentice I. C., Rabin S. S., Archibald S., Mouillot Florent, Arnold S. R., Artaxo P., Bachelet D., Ciais P., Forrest M., Friedlingstein P., Hickler T., Kaplan J. O., Kloster S., Knorr W., Lasslop G., Li F., Mangeon S., Melton J. R., Meyn A., Sitch S., Spessa A., van der Werf G. R., Voulgarakis A., Yue C.
Source
Biogeosciences, 2016, 13 (11), p. 3359-3375 ISSN 1726-4170
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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du milieu [021] ; Etudes, transformation, conservation du milieu naturel [082]
Description Géographique
MONDE
Localisation
Fonds IRD [F B010067663]
Identifiant IRD
fdi:010067663
Contact