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Evaluation of the Penman-Monteith model for estimating soybean evapotranspiration Inra
Ortega-Farias, S.; Olioso, A.; Antonioletti, R.; Brisson, N..
The Penman-Monteith model with a variable surface canopy resistance (rcv) was evaluated to estimate hourly and daily crop evapotranspiration (ETc) over a soybean canopy for different soil water status and atmospheric conditions. The hourly values of rcv were computed as a function of environmental variables (air temperature, vapor pressure deficit, net radiation) and a normalized soil water factor (F), which varies between 0 (wilting point, thetaWP) and 1 (field capacity, thetaFC). The performance of the Penman-Monteith model (ETPM) was evaluated using hourly and daily values of ETc obtained from the combined aerodynamic method (ETR). On an hourly basis, the overall standard error of estimate (SEE) and the absolute relative error (ARE) were 0.06 mm h–1 (41...
Tipo: Journal Article Palavras-chave: EQUATION DE PENMAN-MONTEITH.
Ano: 2004 URL: http://www.prodinra.inra.fr/prodinra/pinra/doc.xsp?id=PUB0400031134102026&uri=/notices/prodinra1/2010/11/
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Future directions for advanced evapotranspiration modeling: assimilation of remote sensing data into crop simulation models and SVAT models Inra
Olioso, A.; Inoue, Y.; Ortega-Farias, S.; Demarty, J.; Wigneron, J.P.; Braud, I.; Jacob, F.; Lecharpentier, P.; Ottlé, C.; Calvet, J.C.; Brisson, N..
Soil-Vegetation-Atmosphere Transfer Models (SVAT) and Crop Simulation Models describe physical and physiological processes occurring in crop canopies. Remote sensing data may be used through assimilation procedures for constraining or driving SVAT and crop models. These models provide continuous simulation of processes such as evapotranspiration and, thus, direct means for interpolating evapotranspiration between remote sensing data acquisitions (which is not the case for classical evapotranspiration mapping methods). They also give access to variables other than evapotranspiration, such as soil moisture and crop production. We developed the coupling between crop, SVAT and radiative transfer models in order to implement assimilation procedures in various...
Tipo: Journal Article Palavras-chave: ASSIMILATION DE DONNÉES; SIMULATION DE CULTURE; HUMIDITÉ ASSIMILATION OF DATA INTO MODELS; CROP SIMULATION MODEL; EVAPOTRANSPIRATION; IRRIGATION; REMOTE SENSING; SOIL; VEGETATION; ATMOSPHERE TRANSFER MODEL.
Ano: 2005 URL: http://www.prodinra.inra.fr/prodinra/pinra/doc.xsp?id=PUB0600036125111436&uri=/notices/prodinra1/2010/11/
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Is it possible to assess the spatial variability of vine water status? Inra
Acevedo-Opazo, C.; Tisseyre, B.; Ojeda, H.; Ortega-Farias, S.; Guillaume, S..
Objectif: L'évolution de l'état hydrique de la plante au cours du cycle végétatif est un paramètre important pour la gestion du vignoble et de la qualité de la vendange. Malheureusement, cette mesure fait appel à des dispositifs spécifiques particulièrement contraignants, ce qui limite fortement le nombre de mesures réalisables. La résolution spatiale et temporelle des mesures d'état hydrique est donc généralement faible. Compte tenu de la forte variabilité spatiale observée en viticulture, l'extrapolation de quelques mesures ponctuelles à une zone plus large peut s'avérer délicate. La conception d'outils et de méthodes qui permettent de caractériser cette variabilité constitue à la fois un enjeu et un défi. L'objectif de ce travail est de proposer une...
Tipo: Journal Article Palavras-chave: ETAT HYDRIQUE; VARIABILITE SPATIALE ET TEMPORELLE; ZONES DE RESTRICTION HYDRIQUE; VIGNOBLE GRAPEVINE; VINE WATER STATUS; SPATIAL AND TEMPORAL VARIABILITY; WATER RESTRICTION ZONES.
Ano: 2008 URL: http://www.prodinra.inra.fr/prodinra/pinra/doc.xsp?id=PROD200956e2f09d&uri=/notices/prodinra1/2010/02/
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Latent heat flux over Cabernet Sauvignon vineyard using the Shuttleworth and Wallace model Inra
Ortega-Farias, S.; Carrasco, M.; Olioso, A.; Acevedo, C.; Poblete, C..
The Shuttleworth and Wallace model (SW) was evaluated to estimate latent heat flux above a drip-irrigated Cabernet Sauvignon vineyard, located in the Pencahue Valley, Region del Maule, Chile (35°22′ LS; 71°47′ LW; 150 m above sea level). The performance of the WS model (LEws) was evaluated against the eddy-covariance method (LEed) on a 30 min time interval. Results indicate that the root mean square error (RMSE) and mean absolute error (MAE) were 29 W m−2 and 22 W m−2, respectively. For the vine evapotranspiration (ETv), RMSE was 0.42 mm day−1 and MAE was 0.36 mm day−1. The largest disagreements between LEed and LEws were observed under dry atmospheric conditions. Also, the sensitivity analysis indicates that predicted ETv by the SW model was sensitive to...
Tipo: Journal Article Palavras-chave: MODÈLE SW.
Ano: 2007 URL: http://www.prodinra.inra.fr/prodinra/pinra/doc.xsp?id=PROD2007f2bed6a4&uri=/notices/prodinra1/2010/11/
Registros recuperados: 4
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