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Modelling LAI at a regional scale with ISBA-A-gs: comparison with satellite-derived LAI over southwestern France
Abstract : A CO2-responsive land surface model (the ISBAA- gs model of M´et´eo-France) is used to simulate photosynthesis and Leaf Area Index (LAI) in southwestern France for a 3-year period (2001–2003). A domain of about 170 000 km2 is covered at a spatial resolution of 8 km. The capability of ISBA-A-gs to reproduce the seasonal and the interannual variability of LAI at a regional scale, is assessed with satellite-derived LAI products. One originates from the CYCLOPES programme using SPOT/VEGETATION data, and two products are based on MODIS data. The comparison reveals discrepancies between the satellite LAI estimates and between satellite and simulated LAI values, both in their intensity and in the timing of the leaf onset. The model simulates higher LAI values for the C3 crops than the satellite observations, which may be due to a saturation effect within the satellite signal or to uncertainties in model parameters. The simulated leaf onset presents a significant delay for C3 crops and mountainous grasslands. In-situ observations at a mid-altitude grassland site show that the generic temperature response of photosynthesis used in the model is not appropriate for plants adapted to the cold climatic conditions of the mountainous areas. This study demonstrates the potential of LAI remote sensing products for identifying and locating models' shortcomings at a regional scale.
Keywords :
ECHELLE REGIONALE
Cited literature [51 references]
https://hal.ird.fr/ird-00411345
Contributor : Dominique Bruel <>
Submitted on : Thursday, August 27, 2009 - 10:48:16 AM
Last modification on : Friday, July 16, 2021 - 9:54:02 AM
Long-term archiving on: : Monday, October 15, 2012 - 4:30:31 PM
Contributor : Dominique Bruel <>
Submitted on : Thursday, August 27, 2009 - 10:48:16 AM
Last modification on : Friday, July 16, 2021 - 9:54:02 AM
Long-term archiving on: : Monday, October 15, 2012 - 4:30:31 PM
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bg-6-1389-2009.brutA.pdf
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