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Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project

Hantson, Stijn; Kelley, Douglas I.; Arneth, Almut; Harrison, Sandy P.; Archibald, Sally; Bachelet, Dominique; Forrest, Matthew; Hickler, Thomas; Lasslop, Gitta; Li, Fang; Mangeon, Stephane; Melton, Joe R.; Nieradzik, Lars; Rabin, Sam S.; Prentice, I. Colin; Sheehan, Tim; Sitch, Stephen; Teckentrup, Lina; Voulgarakis, Apostolos; Yue, Chao

Abstract:
Global fire-vegetation models are widely used to assess impacts of environmental change on fire regimes and the carbon cycle and to infer relationships between climate, land use and fire. However, differences in model structure and parameterizations, in both the vegetation and fire components of these models, could influence overall model performance, and to date there has been limited evaluation of how well different models represent various aspects of fire regimes. The Fire Model Intercomparison Project (FireMIP) is coordinating the evaluation of state-of-the-art global fire models, in order to improve projections of fire characteristics and fire impacts on ecosystems and human societies in the context of global environmental change. Here we perform a systematic evaluation of historical simulations made by nine FireMIP models to quantify their ability to reproduce a range of fire and vegetation benchmarks. The FireMIP models simulate a wide range in global annual total burnt area (39–536 Mha) and global annual fire carbon emission (0.91–4.75 Pg C yr−1) for modern conditions (2002–2012), but most of the range in burnt area is within observational uncertainty (345–468 Mha). ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000123267
Veröffentlicht am 03.09.2020
Originalveröffentlichung
DOI: 10.5194/gmd-13-3299-2020
Dimensions
Zitationen: 18
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1991-9603
KITopen-ID: 1000123267
HGF-Programm 12.02.02 (POF III, LK 01) Vegetation climate- and land use system
Erschienen in Geoscientific model development
Verlag Copernicus Publications
Band 13
Heft 7
Seiten 3299–3318
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 17.07.2020
Nachgewiesen in Web of Science
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