Performance evaluation of evapotranspiration estimations in a model of soil water balance
Soil water content models have huge applications from an agronomic point of view and they are usually used as a sub-model for weather and climate modelling. They are also useful tools for efficient water management irrigation practices. The aim of this investigation is to evaluate the performance of...
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| Otros Autores: | , |
| Formato: | Artículo |
| Lenguaje: | Inglés |
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| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2011Gassmann.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 100 | 1 | |a Gassmann, María |9 71908 | |
| 245 | 0 | 0 | |a Performance evaluation of evapotranspiration estimations in a model of soil water balance |
| 520 | |a Soil water content models have huge applications from an agronomic point of view and they are usually used as a sub-model for weather and climate modelling. They are also useful tools for efficient water management irrigation practices. The aim of this investigation is to evaluate the performance of two different parameterizations of evapotranspiration when applied to a soil water balance model. Experimental data of a maize crop is used to evaluate model accuracy. The first methodology proposes a parallel resistance arrangement to represent the latent heat fluxes of the soil surface and the leaves in the canopy layer considering the leaf area index [LAI]. The second methodology uses the parameterization proposed by the United Nations Food and Agriculture Organization [FAO], based on the crop coefficient [Kc] and the potential evapotranspiration obtained from the Penman-Monteith equation. The crop was divided into five plots with different irrigation systems according to their phenological stages. The model suitably predicts daily soil water content in five different irrigation systems. Predictions of soil water content using the LAI or Kc methodology tend to overestimate observations. In addition, the model has better predictions using the LAI methodology than the Kc methodology. The root mean square error and the determination coefficient were 0.059 and 0.92, respectively, with the LAI methodology and 0.063 and 0.87, respectively, using the Kc methodology. | ||
| 653 | 0 | |a EVAPOTRANSPIRATION | |
| 653 | 0 | |a MAIZE | |
| 653 | 0 | |a MODEL EVALUATION | |
| 653 | 0 | |a SOIL WATER CONTENT | |
| 700 | 1 | |a Gardiol, Jesús María |9 38679 | |
| 700 | 1 | |a Serio, Leonardo Ariel |9 27282 | |
| 773 | |t Meteorological Applications |g Vol.18, no.2 (2011), p.211-222 | ||
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| 900 | |a ^tPerformance evaluation of evapotranspiration estimations in a model of soil water balance | ||
| 900 | |a ^aGassmann^bM. | ||
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| 900 | |a ^aGardiol^bJ. | ||
| 900 | |a ^aSerio^bL. A. | ||
| 900 | |a ^aGassmann^bM.^tDpto. de Cs. de la Atmósfera y los Océanos, Facultad de Cs. Exactas y Naturales, Universidad de Buenos Aires, Universitaria C1428EHA-Cdad, Piso 2 Pabellón 2 Cdad, Autónoma de Buenos Aires, Argentina | ||
| 900 | |a ^aGardiol^bJ.^tConsejo Nacional de Investigaciones CientÃficas y Técnicas [CONICET], C1033AAJ-Cdad, Av. Rivadavia 1917, Autónoma de Buenos Aires, Argentina | ||
| 900 | |a ^aSerio^bL.^tCátedra de ClimatologÃa, Facultad de AgronomÃa, Universidad de Buenos Aires, C1417DSE-Cdad, Av. San MartÃn 4453, Autónoma de Buenos Aires, Argentina | ||
| 900 | |a ^tMeteorological Applications^cMeteorol. Appl. | ||
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| 900 | |a Vol. 18, no. 2 | ||
| 900 | |a 222 | ||
| 900 | |a EVAPOTRANSPIRATION | ||
| 900 | |a MAIZE | ||
| 900 | |a MODEL EVALUATION | ||
| 900 | |a SOIL WATER CONTENT | ||
| 900 | |a Soil water content models have huge applications from an agronomic point of view and they are usually used as a sub-model for weather and climate modelling. They are also useful tools for efficient water management irrigation practices. The aim of this investigation is to evaluate the performance of two different parameterizations of evapotranspiration when applied to a soil water balance model. Experimental data of a maize crop is used to evaluate model accuracy. The first methodology proposes a parallel resistance arrangement to represent the latent heat fluxes of the soil surface and the leaves in the canopy layer considering the leaf area index [LAI]. The second methodology uses the parameterization proposed by the United Nations Food and Agriculture Organization [FAO], based on the crop coefficient [Kc] and the potential evapotranspiration obtained from the Penman-Monteith equation. The crop was divided into five plots with different irrigation systems according to their phenological stages. The model suitably predicts daily soil water content in five different irrigation systems. Predictions of soil water content using the LAI or Kc methodology tend to overestimate observations. In addition, the model has better predictions using the LAI methodology than the Kc methodology. The root mean square error and the determination coefficient were 0.059 and 0.92, respectively, with the LAI methodology and 0.063 and 0.87, respectively, using the Kc methodology. | ||
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