Ability of the land surface model ISBA-A-gs to simulate leaf area index at the global scale: Comparison with satellites products

被引:92
作者
Gibelin, Anne-Laure
Calvet, Jean-Christophe
Roujean, Jean-Louis
Jarlan, Lionel
Los, Sietse O.
机构
[1] Meteo France, Ctr Natl Rech Meteorol, Grp Etud Atmosphere Meteorol, F-31057 Toulouse, France
[2] Univ Coll Swansea, Dept Geog, Swansea SA2 8PP, W Glam, Wales
关键词
D O I
10.1029/2005JD006691
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
[1] The land surface model (LSM) ISBA- A- gs ( Interactions between Soil, Biosphere and Atmosphere, CO2-reactive) is specifically designed to simulate leaf stomatal conductance and leaf area index (LAI) in response to climate, soil properties, and atmospheric carbon dioxide concentration. The model is run at the global scale, forced by the GSWP-2 meteorological data at a resolution of 1 degrees for the period of 1986 - 1995. We test the model by comparing the simulated LAI values against three satellite-derived data sets (ISLSCP Initiative II data, MODIS data and ECOCLIMAP data) and find that the model reproduces the major patterns of spatial and temporal variability in global vegetation. As a result, the mean of the maximum annual LAI estimates of the model falls within the range of the various satellite data sets. Despite no explicit representation of phenology, the model captures the seasonal cycle in LAI well and shows realistic variations in start of the growing season as a function of latitude. The interannual variability is also well reported for numerous regions of the world, particularly where precipitation controls photosynthesis. The comparison also reveals that some processes need to be improved or introduced in the model, in particular the snow dynamics and the treatment of vegetation in cultivated areas, respectively. The overall comparisons demonstrate the potential of ISBA-A-gs model to simulate LAI in a realistic fashion at the global scale.
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页数:16
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共 79 条
  • [1] [Anonymous], 159 COLA
  • [2] Modeling vegetation as a dynamic component in soil-vegetation-atmosphere transfer schemes and hydrological models
    Arora, V
    [J]. REVIEWS OF GEOPHYSICS, 2002, 40 (02) : 3 - 1
  • [3] A parameterization of leaf phenology for the terrestrial ecosystem component of climate models
    Arora, VK
    Boer, GJ
    [J]. GLOBAL CHANGE BIOLOGY, 2005, 11 (01) : 39 - 59
  • [4] Global synthesis of leaf area index observations: implications for ecological and remote sensing studies
    Asner, GP
    Scurlock, JMO
    Hicke, JA
    [J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2003, 12 (03): : 191 - 205
  • [5] Contrasting physiological and structural vegetation feedbacks in climate change simulations
    Betts, RA
    Cox, PM
    Lee, SE
    Woodward, FI
    [J]. NATURE, 1997, 387 (6635) : 796 - 799
  • [6] Comparing global models of terrestrial net primary productivity (NPP): importance of vegetation structure on seasonal NPP estimates
    Bondeau, A
    Kicklighter, DW
    Kaduk, J
    [J]. GLOBAL CHANGE BIOLOGY, 1999, 5 : 35 - 45
  • [7] A global prognostic scheme of leaf onset using satellite data
    Botta, A
    Viovy, N
    Ciais, P
    Friedlingstein, P
    Monfray, P
    [J]. GLOBAL CHANGE BIOLOGY, 2000, 6 (07) : 709 - 725
  • [8] Bounoua L, 1999, J CLIMATE, V12, P309, DOI 10.1175/1520-0442(1999)012<0309:IBVACR>2.0.CO
  • [9] 2
  • [10] Analysis of a multiyear global vegetation leaf area index data set
    Buermann, W
    Wang, YJ
    Dong, JR
    Zhou, LM
    Zeng, XB
    Dickinson, RE
    Potter, CS
    Myneni, RB
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2002, 107 (D22) : ACL14 - 1