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

Research output: Contribution to journalArticle

Standard

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.; Colin Prentice, I.; Sheehan, Tim; Sitch, Stephen; Teckentrup, Lina; Voulgarakis, Apostolos; Yue, Chao.

In: Geoscientific Model Development, Vol. 13, No. 7, 17.07.2020, p. 3299-3318.

Research output: Contribution to journalArticle

Harvard

Hantson, S, Kelley, DI, Arneth, A, Harrison, SP, Archibald, S, Bachelet, D, Forrest, M, Hickler, T, Lasslop, G, Li, F, Mangeon, S, Melton, JR, Nieradzik, L, Rabin, SS, Colin Prentice, I, Sheehan, T, Sitch, S, Teckentrup, L, Voulgarakis, A & Yue, C 2020, 'Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project', Geoscientific Model Development, vol. 13, no. 7, pp. 3299-3318. https://doi.org/10.5194/gmd-13-3299-2020

APA

Hantson, S., Kelley, D. I., Arneth, A., Harrison, S. P., Archibald, S., Bachelet, D., Forrest, M., Hickler, T., Lasslop, G., Li, F., Mangeon, S., Melton, J. R., Nieradzik, L., Rabin, S. S., Colin Prentice, I., Sheehan, T., Sitch, S., Teckentrup, L., Voulgarakis, A., & Yue, C. (2020). Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project. Geoscientific Model Development, 13(7), 3299-3318. https://doi.org/10.5194/gmd-13-3299-2020

CBE

Hantson S, Kelley DI, Arneth A, Harrison SP, Archibald S, Bachelet D, Forrest M, Hickler T, Lasslop G, Li F, Mangeon S, Melton JR, Nieradzik L, Rabin SS, Colin Prentice I, Sheehan T, Sitch S, Teckentrup L, Voulgarakis A, Yue C. 2020. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project. Geoscientific Model Development. 13(7):3299-3318. https://doi.org/10.5194/gmd-13-3299-2020

MLA

Vancouver

Author

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. ; Colin Prentice, I. ; Sheehan, Tim ; Sitch, Stephen ; Teckentrup, Lina ; Voulgarakis, Apostolos ; Yue, Chao. / Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project. In: Geoscientific Model Development. 2020 ; Vol. 13, No. 7. pp. 3299-3318.

RIS

TY - JOUR

T1 - Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project

AU - Hantson, Stijn

AU - Kelley, Douglas I.

AU - Arneth, Almut

AU - Harrison, Sandy P.

AU - Archibald, Sally

AU - Bachelet, Dominique

AU - Forrest, Matthew

AU - Hickler, Thomas

AU - Lasslop, Gitta

AU - Li, Fang

AU - Mangeon, Stephane

AU - Melton, Joe R.

AU - Nieradzik, Lars

AU - Rabin, Sam S.

AU - Colin Prentice, I.

AU - Sheehan, Tim

AU - Sitch, Stephen

AU - Teckentrup, Lina

AU - Voulgarakis, Apostolos

AU - Yue, Chao

PY - 2020/7/17

Y1 - 2020/7/17

N2 - 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). Benchmarking scores indicate that seven out of nine FireMIP models are able to represent the spatial pattern in burnt area. The models also reproduce the seasonality in burnt area reasonably well but struggle to simulate fire season length and are largely unable to represent interannual variations in burnt area. However, models that represent cropland fires see improved simulation of fire seasonality in the Northern Hemisphere. The three FireMIP models which explicitly simulate individual fires are able to reproduce the spatial pattern in number of fires, but fire sizes are too small in key regions, and this results in an underestimation of burnt area. The correct representation of spatial and seasonal patterns in vegetation appears to correlate with a better representation of burnt area. The two older fire models included in the FireMIP ensemble (LPJ-GUESS-GlobFIRM, MC2) clearly perform less well globally than other models, but it is difficult to distinguish between the remaining ensemble members; some of these models are better at representing certain aspects of the fire regime; none clearly outperforms all other models across the full range of variables assessed.

AB - 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). Benchmarking scores indicate that seven out of nine FireMIP models are able to represent the spatial pattern in burnt area. The models also reproduce the seasonality in burnt area reasonably well but struggle to simulate fire season length and are largely unable to represent interannual variations in burnt area. However, models that represent cropland fires see improved simulation of fire seasonality in the Northern Hemisphere. The three FireMIP models which explicitly simulate individual fires are able to reproduce the spatial pattern in number of fires, but fire sizes are too small in key regions, and this results in an underestimation of burnt area. The correct representation of spatial and seasonal patterns in vegetation appears to correlate with a better representation of burnt area. The two older fire models included in the FireMIP ensemble (LPJ-GUESS-GlobFIRM, MC2) clearly perform less well globally than other models, but it is difficult to distinguish between the remaining ensemble members; some of these models are better at representing certain aspects of the fire regime; none clearly outperforms all other models across the full range of variables assessed.

U2 - 10.5194/gmd-13-3299-2020

DO - 10.5194/gmd-13-3299-2020

M3 - Article

AN - SCOPUS:85090271156

VL - 13

SP - 3299

EP - 3318

JO - Geoscientific Model Development

JF - Geoscientific Model Development

SN - 1991-959X

IS - 7

ER -