Estimating Evapotranspiration Using Artificial Neural Network and Minimum Climatological Data

Sára Zanetti, Sidney; Fernandes de Sousa, Elias; de Paulo Santos de Oliveira, Vicente; Terra de Almeida, Frederico; Bernardo, Sara

doi:10.1061/(asce)0733-9437(2007)133:2(83)

Public

Estimating Evapotranspiration Using Artificial Neural Network and Minimum Climatological Data

Published in Journal of Irrigation and Drainage Engineering • Mar 16, 2007

Authors:

Sidney Sára Zanetti

Elias Fernandes de Sousa

Vicente de Paulo Santos de Oliveira

Abstract

The objective of this study was to test an artificial neural network (ANN) for estimating the reference evapotranspiration (ETo) as a function of the maximum and minimum air temperatures in the Campos dos Goytacazes county, State of Rio de Janeiro. The data used in the network training were obtained...

Subject

Artificial neural network

Evapotranspiration

Latitude

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!