Articles | Volume 18, issue 12
https://doi.org/10.5194/hess-18-4979-2014
https://doi.org/10.5194/hess-18-4979-2014
Research article
 | 
10 Dec 2014
Research article |  | 10 Dec 2014

Evaluation of root water uptake in the ISBA-A-gs land surface model using agricultural yield statistics over France

N. Canal, J.-C. Calvet, B. Decharme, D. Carrer, S. Lafont, and G. Pigeon

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Cited articles

Agreste: http://agreste.agriculture.gouv.fr/page-d-accueil/article/donnees-en-ligne, last access: December 2014.
Agreste Bilans: Agreste Chiffres et Données Agriculture No. 209, Bilans d'approvisionnements agroalimentaires 2007–2008, 5 pp., http://agreste.agriculture.gouv.fr/IMG/file/aliments209.pdf (last access: December 2014), 2007.
Agreste Conjoncture: Bilan conjoncturel 2007, No: 10–11, 40 pp., http://agreste.agriculture.gouv.fr/IMG/pdf/bilan2007note.pdf (last access: December 2014), 2007.
Agreste Infos Rapides: Grandes cultures et fourrages, No. 7, Prairies, http://agreste.agriculture.gouv.fr/IMG/pdf/prairie0711note.pdf (last access: December 2014), 2007.
Baret, F., Weiss, M., Lacaze, R., Camacho, F., Makhmara, H., Pacholczyk, P., and Smets, B.: GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products, Part 1: Principles of development and production, Remote Sens. Environ., 137, 299–309, 2013.
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Short summary
Regional French agricultural yield statistics are used to benchmark root water uptake representations in the ISBA-A-gs model. Key model parameters governing the inter-annual variability of the simulated biomass are retrieved. A complex multi-layer soil hydrology model does not outperform a simple bulk root-zone reservoir approach. This could be explained by missing processes/information in the model such as hydraulic redistribution and detailed soil properties.
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