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Modelling Lai at a Regional Scale with Isba-a-gs: Comparison with Satellite-derived Lai Over Southwestern France : Volume 6, Issue 2 (08/04/2009)

By Brut, A.

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Book Id: WPLBN0004005235
Format Type: PDF Article :
File Size: Pages 35
Reproduction Date: 2015

Title: Modelling Lai at a Regional Scale with Isba-a-gs: Comparison with Satellite-derived Lai Over Southwestern France : Volume 6, Issue 2 (08/04/2009)  
Author: Brut, A.
Volume: Vol. 6, Issue 2
Language: English
Subject: Science, Biogeosciences, Discussions
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2009
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Moigne, P. L., Lafont, S., Brut, A., Jarlan, L., Calvet, J., Gibelin, A.,...Klumpp, K. (2009). Modelling Lai at a Regional Scale with Isba-a-gs: Comparison with Satellite-derived Lai Over Southwestern France : Volume 6, Issue 2 (08/04/2009). Retrieved from http://www.nationalpubliclibrary.info/


Description
Description: CNRM/GAME (Météo-France, CNRS), Toulouse, France. A CO2-responsive land surface model (the ISBA-A-gs model of Météo-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 inter-annual variability of LAI at a regional scale, is assessed with two satellite-derived LAI products. One originates from the CYCLOPES programme using SPOT/VEGETATION data, and the second is based on MODIS data. The comparison reveals discrepancies between the two 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 and coniferous trees than the satellite observations, which may be due to a saturation effect within the satellite signal. The simulated leaf onset presents a significant delay for 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.

Summary
Modelling LAI at a regional scale with ISBA-A-gs: comparison with satellite-derived LAI over southwestern France

Excerpt
Allard, V., Soussana, J.-F., Falcimagne, R., Berbigier, P., Bonnefond, J. M., Ceschia, E., D'hour, P., Hénault, C., Laville, P., Martin, C., and Pinarès-Patino, C. : The role of grazing management for the net biome productivity and greenhouse gas budget (CO2, N2O and CH4) of semi-natural grassland, Agric. Ecosys. Environ., 121, 47–58, doi:10.1016/j.agee.2006.12.004, 2007.; Alessandri, A., Gualdi, S., Polcher, J., and Navarra, A.: Effects of Land Surface-Vegetation on the Boreal Summer Surface Climate of a GCM, J. Climate, 20(2), 225–278, 2007.; Baret F., Hagolle, O., Geiger, B., Bicheron, P., Miras, B., Huc, M., Berthelot, B., Niño, F., Weiss, M., Samain, O., Roujean, J.-L., and Leroy, M.: LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION. Part 1: Principles of the algorithm, Remote Sens. Environ., 110, 275–286, 2007.; Calvet, J.-C., Noilhan, J., Roujean, J.-L., Bessemoulin, P., Cabelguenne, M., Olioso, A., and Wigneron, J.-P.: An interactive vegetation SVAT model tested against data from six contrasting sites, Agric. For. Meteor., 92, 73–95, 1998.; Calvet, J.-C.: Investigating soil and atmospheric plant water stress using physiological and micrometeorological data sets, Agric. For. Meteor., 103, 229–247, 2000.; Calvet, J.-C. and Soussana, J.-F.: Modelling CO2-enrichment effects using an interactive vegetation SVAT scheme, Agric. For. Meteor., 108, 129–152, 2001.; Calvet, J.-C., Rivalland, V., Picon-Cochard, C., and Guehl, J.-M.: Modelling forest transpiration and CO2 fluxes – response to soil moisture stress, Agric. For. Meteorol., 124(3–4), 143–156, doi:10.1016/j.agrformet.2004.01.007, 2004.; Calvet, J.-C., Gibelin, A.-L., Roujean, J.-L., Martin, E., Le Moigne, P., Douville, H., and Noilhan, J.: Past and future scenarios of the effect of carbon dioxide on plant growth and transpiration for three vegetation types of southwestern France, Atmos. Chem. Phys., 8, 397–406, 2008.; Chen, J. M., Menges, C. H., and Leblanc, S. G.: Global mapping of foliage clumping index using multi-angular satellite data, Remote Sens. Environ., 97(4), 447–457, doi:10.1016/j.rse.2005.05.003, 2005.; Ciais P., Viovy, N., Reichstein, M., Ogée, J., Granier, A., Knohl, A., Rambal, S., Sanz, M.-J., Schulze, D., Chevallier, F., and Valentini, R.: An Unprecedented Reduction in Primary Productivity of Europe During the Summer Heatwave in 2003, Nature, 437, 529–533, doi:10.1038/nature.03972, 2005.; Collatz, G. J., Ball, J. T., Grivet, C., and Berry, J. A.: Physiological and environmental regulation of stomatal conductance, Agric. For. Meteor., 54, 561–570, 1991.; Courtier, P., Freydier, C., Geleyn, J.-F., Rabier, F., and Rochas, M.: The Arpège project at Météo-France. Proc. ECMWF Seminar on Numerical Methods in Atmospheric Models, ECMWF, Reading, UK, 2, 193–232, 1991.; De Rosnay, P., Calvet, J.-C., Kerr, Y., Wigneron, J.-P., Lemaître, F., Escorihuela, M. J., Sabater, J. M., Saleh, K., Barrie, J., Coret, L., Cherel, G., Dedieu G., Durbe, R., Fritz, N., Froissard, F., Kruszewski, A., Lavenu, F., Suquia, D., and Waldteufel, P.: SMOSREX: A long term field campaign experiment for soil moisture and land surface processes remote sensing, Remote Sens. Environ., 102, 377–389, 2006.; Dickinson, R. E., Henderson-Sellers, A., Rosenzweig, C., and Sellers, P. J.: Evapotranspiration models with canopy resistance for use in climate models: A review, Agric. For. Meteorol., 54, 373–388, 1991.; Dolman, H., Noilhan, J., Durand, P., Sarrat, C., Brut, A., Piguet, B., Butet, A., Jarosz, N., Brunet, Y., Loustau, D., Lamaud, E., Tolk, L., Ronda, R., Miglietta, F., Gioli, B., Magliulo, V., Esposito, M., Gerbig, C., Körner, S., Galdemard, P., Ramonet, M., Ciais, P., Neininger, B., Hutjes, R., Elbers, J. A., Warnecke, T., Pérez-Landa, G., Sanz, M. J., Scholz, Y., Facon, G., Ceschia, E., and Beziat, P.: CERES, the CarboEurope Regional Experiment

 

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