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Estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship

Virginia Venturini Leticia Beatriz Rodríguez Raúl Eduardo Rivas Carlos María Krepper Alfredo Ramón Huete Marcelo Gandini Shafiqul Islam

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Resumen/Descripción – provisto por el repositorio digital
A new formulation to derive evaporative fraction (EF) and evapotranspiration (ET) maps from remotely sensed data without auxiliary relationships or site-specific relationships is presented. This formulation is based on Granger’s complementary relationship and Priestley-Taylor’s equation. The proposed model eliminates the wind function and resistance parameters commonly applied to some calculations by including a relative evaporation parameter (ET/Epot). By combining this relative evaporation parameter, Granger’s complementary relationship and Priestley and Taylor equation, a simple equation to estimate ET is obtained. The proposed formulation was tested and validated over the Southern Great Plains (SGP) region of the United States for seven clear sky days during March-October 2003. MODIS Atmospheric and Land products were the only source of data used in this study. Estimates of ET show an overall root mean square error and bias of 33.89 and -10.96 Wm-2, respectively. These results suggest that the proposed approach is robust and valid for a wide range of atmospheric and surface conditions, during clear days. An uncertainty analysis was performed to quantify model errors and uncertainties due to measurement errors in the involved variables. These results showed that common errors in temperature estimates would result in an error of about 10% in ET. A contrast and comparison between modified Priestley and Taylor’s equations shows that the proposed method seems to consider a set of atmospheric and surface variables that leads to ET estimates with errors lower than 20% of the mean ET, without forfeiting the simple form of Priestley and Taylor’s equation.
Palabras clave – provistas por el repositorio digital

Evaporation; Evapotranspiration; Evaporative fraction; Complementary relationship; Remote sensing; MODIS; Evapotranspiración; Fracción evaporable; Teleobservación; Sensoramiento remoto; Relaciones complementarias

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Institución detectada Año de publicación Navegá Descargá Solicitá
No requiere 2007 Biblioteca Virtual de la Universidad Nacional del Litoral (SNRD) acceso abierto

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Tipo de recurso:

tesis

Idiomas de la publicación

  • inglés

País de edición

Argentina

Fecha de publicación

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