Assessment of the performance of a distributed code in relation to the ETp estimates


Abstract:

This article is a preliminary report of a research activity focusing on the effects of the crop potential evapotranspiration (ET<inf>p</inf>) generation methods on both the performance of a distributed catchment model as well as on the magnitude of its main effective parameters. The referred effects were assessed on the basis of the independent Multi-Calibration (MC) of the distributed model for which three different ET<inf>p</inf> scenarios were generated as follows: (A) FAO-24 standard approach; (B) FAO-24 approach but used with coefficients of the wind function and of the Stefan-Boltzmann equation selected according to local conditions; and (C) FAO-56 standard approach. ET<inf>p</inf> was estimated as a function of the reference crop evapotranspiration (ET<inf>o</inf>) by means of the k<inf>c</inf>-ET<inf>o</inf> approach. For assessing the performance of the estimation approach, the ET<inf>o</inf> outputs of the three scenarios were compared to local ET<inf>o</inf> constraints derived from a previous research. The outputs of scenario B and scenario C showed a close a agreement with the local ET<inf>o</inf> constraints. Their effect on the performance of the hydrological model also seemed to be comparable. The output of scenario A produced higher estimates than the outputs of the other two scenarios, in the order of 200 mm per year. The best model performance was obtained by using the estimates of scenario A. The research also revealed the weak dependency of the model effective parameters inspected in this preliminary research on the ET<inf>p</inf> estimating methods.

Año de publicación:

2002

Keywords:

  • Distributed model
  • Evapotranspiration
  • FAO combined Penman-Monteith equation
  • FAO modified Penman equation
  • Effective parameter
  • Performance

Fuente:

scopusscopus
googlegoogle

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Simulación por computadora
  • Simulación por computadora
  • Ciencias de la computación

Áreas temáticas de Dewey:

  • Ciencias de la computación
  • Programación informática, programas, datos, seguridad
  • Geología, hidrología, meteorología
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 6: Agua limpia y saneamiento
  • ODS 13: Acción por el clima
  • ODS 15: Vida de ecosistemas terrestres
Procesado con IAProcesado con IA