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Forecasting Weekly Evapotranspiration with ARIMA and Artificial Neural Network Models

✍ Scribed by Landeras, Gorka; Ortiz-Barredo, Amaia; López, José Javier

Book ID: 124065181
Publisher: American Society of Civil Engineers
Year: 2009
Tongue: English
Weight: 807 KB
Volume: 135
Category: Article
ISSN: 0733-9437
DOI: 10.1061/(ASCE)IR.1943-4774.0000008

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## Abstract Estimation of evapotranspiration (ET) requires a knowledge of the values of many climatic variables, some of which require special equipment and careful observations. Although ET is an important component of water balance, the data required for its accurate estimation are commonly avail