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Evaluation of Root Water Uptake in the Isba-a-gs Land Surface Model Using Agricultural Yield Statistics Over France : Volume 18, Issue 12 (10/12/2014)

By Canal, N.

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Book Id: WPLBN0004011309
Format Type: PDF Article :
File Size: Pages 21
Reproduction Date: 2015

Title: Evaluation of Root Water Uptake in the Isba-a-gs Land Surface Model Using Agricultural Yield Statistics Over France : Volume 18, Issue 12 (10/12/2014)  
Author: Canal, N.
Volume: Vol. 18, Issue 12
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Description
Description: CNRM-GAME – UMR3589, Météo-France, CNRS, Toulouse, France. The simulation of root water uptake in land surface models is affected by large uncertainties. The difficulty in mapping soil depth and in describing the capacity of plants to develop a rooting system is a major obstacle to the simulation of the terrestrial water cycle and to the representation of the impacts of drought. In this study, long time series of agricultural statistics are used to evaluate and constrain root water uptake models. The inter-annual variability of cereal grain yield and permanent grassland dry matter yield is simulated over France by the Interactions between Soil, Biosphere and Atmosphere, CO2-reactive (ISBA-A-gs) generic land surface model (LSM). The two soil profile schemes available in the model are used to simulate the above-ground biomass (Bag) of cereals and grasslands: a two-layer force–restore (FR-2L) bulk reservoir model and a multi-layer diffusion (DIF) model. The DIF model is implemented with or without deep soil layers below the root zone. The evaluation of the various root water uptake models is achieved by using the French agricultural statistics of Agreste over the 1994–2010 period at 45 cropland and 48 grassland départements, for a range of rooting depths. The number of départements where the simulated annual maximum Bag presents a significant correlation with the yield observations is used as a metric to benchmark the root water uptake models. Significant correlations (p value < 0.01) are found for up to 29 and 77% of the départements for cereals and grasslands, respectively. A rather neutral impact of the most refined versions of the model is found with respect to the simplified soil hydrology scheme. This shows that efforts should be made in future studies to reduce other sources of uncertainty, e.g. by using a more detailed soil and root density profile description together with satellite vegetation products. It is found that modelling additional subroot-zone base flow soil layers does not improve (and may even degrade) the representation of the inter-annual variability of the vegetation above-ground biomass. These results are particularly robust for grasslands, as calibrated simulations are able to represent the extreme 2003 and 2007 years corresponding to unfavourable and favourable fodder production, respectively.

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

Excerpt
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.; Bondeau, A., Smith, P. C., Zaehle, S., Schaphoff, S., Lucht, W., Cramer, W., Gerten, D., Lotze-Campen, H., Müller, C., Reichstein, M., and Smith, B.: Modelling the role of agriculture for the 20th century global terrestrial carbon balance, Global Change Biol., 13, 679–706, 2007.; Boone, A., Masson, V., Meyers, T., and Noilhan, J.: The influence of the inclusion of soil freezing on simulations by a Soil–Vegetation–Atmosphere Transfer Scheme, J. Appl. Meteorol., 39, 1544–1569, 2000.; Brisson, N., Gate, P., Gouache, D., Charmet, G., Oury, F.-X., and Huard, F.: Why are wheat yields stagnating in Europe? A comprehensive data analysis for France, Field Crops Res., 119, 201–212, doi:10.1016/j.fcr.2010.07.012, 2010.; Calvet, J.-C.: Investigating soil and atmospheric plant water stress using physiological and micrometeorological data, Agr. Forest Meteorol., 103, 229–247, 2000.; Calvet, J.-C. and Soussana, J.-F.: Modelling CO2-enrichment effects using an interactive vegetation SVAT scheme, Agr. Forest Meteorol., 108, 129–152, 2001.; Brut, A., Rüdiger, C., Lafont, S., Roujean, J.-L., Calvet, J.-C., Jarlan, L., Gibelin, A.-L., Albergel, C., Le Moigne, P., Soussana, J.-F., Klumpp, K., Guyon, D., Wigneron, J.-P., and Ceschia, E.: Modelling LAI at a regional scale with ISBA-A-gs: comparison with satellite-derived LAI over southwestern France, Biogeosciences, 6, 1389–1404, doi:10.5194/bg-6-1389-2009, 2009.; Calvet, J.-C., Noilhan, J., Roujean, J., Bessemoulin, P., Cabelguenne, M., Olioso, A., and Wigneron, J.: An interactive vegetation SVAT model tested against data from six contrasting sites, Agr. Forest Meteorol., 92, 73–95, 1998.; 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, doi:10.5194/acp-8-397-2008, 2008.; Calvet, J.-C., Lafont, S., Cloppet, E., Souverain, F., Badeau, V., and Le Bas, C.: Use of agricultural statistics to verify the interannual variability in land surface models: a case study over France with ISBA-A-gs, Geosci. Model Dev., 5, 37–54, doi:10.5194/gmd-5-37-2012, 2012.; Calvet, J.-C., Rivalland, V., Picon-Cochard, C., and Guehl, J.-M.: Modelling forest transpiration and CO2 fluxes – resp

 

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