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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Autores principales:	Gassmann, M., Gardiol, J., Serio, L.
Formato:	JOUR
Materias:	Evapotranspiration Maize Model evaluation Soil water content
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_13504827_v18_n2_p211_Gassmann
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_13504827_v18_n2_p211_Gassmann
record_format	dspace
spelling	todo:paper_13504827_v18_n2_p211_Gassmann2023-10-03T16:09:59Z Performance evaluation of evapotranspiration estimations in a model of soil water balance Gassmann, M. Gardiol, J. Serio, L. Evapotranspiration Maize Model evaluation Soil water content 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. © 2010 Royal Meteorological Society. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_13504827_v18_n2_p211_Gassmann
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Evapotranspiration Maize Model evaluation Soil water content
spellingShingle	Evapotranspiration Maize Model evaluation Soil water content Gassmann, M. Gardiol, J. Serio, L. Performance evaluation of evapotranspiration estimations in a model of soil water balance
topic_facet	Evapotranspiration Maize Model evaluation Soil water content
description	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. © 2010 Royal Meteorological Society.
format	JOUR
author	Gassmann, M. Gardiol, J. Serio, L.
author_facet	Gassmann, M. Gardiol, J. Serio, L.
author_sort	Gassmann, M.
title	Performance evaluation of evapotranspiration estimations in a model of soil water balance
title_short	Performance evaluation of evapotranspiration estimations in a model of soil water balance
title_full	Performance evaluation of evapotranspiration estimations in a model of soil water balance
title_fullStr	Performance evaluation of evapotranspiration estimations in a model of soil water balance
title_full_unstemmed	Performance evaluation of evapotranspiration estimations in a model of soil water balance
title_sort	performance evaluation of evapotranspiration estimations in a model of soil water balance
url	http://hdl.handle.net/20.500.12110/paper_13504827_v18_n2_p211_Gassmann
work_keys_str_mv	AT gassmannm performanceevaluationofevapotranspirationestimationsinamodelofsoilwaterbalance AT gardiolj performanceevaluationofevapotranspirationestimationsinamodelofsoilwaterbalance AT seriol performanceevaluationofevapotranspirationestimationsinamodelofsoilwaterbalance
_version_	1807315753796370432

Performance evaluation of evapotranspiration estimations in a model of soil water balance

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