Influence of leaf area index prescriptions on simulations of heat, moisture, and carbon fluxes

J. Kala; M. Decker; J-F Exbrayat; A.J. Pitman; C. Carouge; J.P. Evans; G. Abramowitz; D. Mocko

doi:10.1175/JHM-D-13-063.1

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Influence of leaf area index prescriptions on simulations of heat, moisture, and carbon fluxes

Journal article

Open access

Peer reviewed

Influence of leaf area index prescriptions on simulations of heat, moisture, and carbon fluxes

J. Kala, M. Decker, J-F Exbrayat, A.J. Pitman, C. Carouge, J.P. Evans, G. Abramowitz and D. Mocko

Journal of Hydrometeorology, Vol.15(1), pp.489-503

2014

DOI: https://doi.org/10.1175/JHM-D-13-063.1

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Abstract

Leaf area index (LAI), the total one-sided surface area of leaf per ground surface area, is a key component of land surface models. The authors investigate the influence of differing, plausible LAI prescriptions on heat, moisture, and carbon fluxes simulated by the Community Atmosphere Biosphere Land Exchange version 1.4b (CABLEv1.4b) model over the Australian continent. A 15-member ensemble monthly LAI dataset is generated using the Moderate Resolution Imaging Spectroradiometer (MODIS) LAI product and gridded observations of temperature and precipitation. Offline simulations lasting 29 years (1980–2008) are carried out at 25-km resolution with the composite monthly means from the MODIS LAI product (control simulation) and compared with simulations using each of the 15-member ensemble monthly varying LAI datasets generated. The imposed changes in LAI did not strongly influence the sensible and latent fluxes, but the carbon fluxes were more strongly affected. Croplands showed the largest sensitivity in gross primary production with differences ranging from −90% to 60%. Plant function types (PFTs) with high absolute LAI and low interannual variability, such as evergreen broadleaf trees, showed the least response to the different LAI prescriptions, while those with lower absolute LAI and higher interannual variability, such as croplands, were more sensitive. The authors show that reliance on a single LAI prescription may not accurately reflect the uncertainty in the simulation of terrestrial carbon fluxes, especially for PFTs with high interannual variability. The study highlights that accurate representation of LAI in land surface models is key to the simulation of the terrestrial carbon cycle. Hence, this will become critical in quantifying the uncertainty in future changes in primary production.

Details

Title: Influence of leaf area index prescriptions on simulations of heat, moisture, and carbon fluxes
Authors/Creators: J. Kala (Author/Creator)
M. Decker (Author/Creator)
J-F Exbrayat (Author/Creator)
A.J. Pitman (Author/Creator)
C. Carouge (Author/Creator)
J.P. Evans (Author/Creator)
G. Abramowitz (Author/Creator)
D. Mocko (Author/Creator)
Publication Details: Journal of Hydrometeorology, Vol.15(1), pp.489-503
Publisher: American Meteorological Society
Identifiers: 991005545513607891
Murdoch Affiliation: Murdoch University
Language: English
Resource Type: Journal article

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Collaboration types: Industry collaboration; Domestic collaboration; International collaboration
Citation topics: 8 Earth Sciences; 8.19 Oceanography, Meteorology & Atmospheric Sciences; 8.19.7 Hydroclimatic Modeling
Web Of Science research areas: Meteorology & Atmospheric Sciences
ESI research areas: Geosciences