Data-Based Evapotranspiration Modeling

Author:

Remesan Renji,Mathew Jimson

Publisher

Springer International Publishing

Reference29 articles.

1. Abdullah SS, Malek MA, Mustapha A, Aryanfar A et al (2014) Hybrid of artificial neural network-genetic algorithm for prediction of reference evapotranspiration (ET0) in arid and semiarid regions. J Agric Sci 6(3):191–200

2. Abrahart RJ, See LM (2007) Neural network emulation of a rainfall-runoff model. Hydrol Earth Syst Sci Discuss 4:287–326

3. Alexandris S, Kerkides P (2003) New empirical formula for hourly estimations of reference evapotranspiration. Agric Water Manage 60:181–198

4. Alexandris S, Kerkides P, Liakatas A (2006) Daily reference evapotranspiration estimates by the ‘‘Copais’’ approach. Agric Water Manage 82:371–386

5. Allen RG, Pereira LS, Raes D, Smith M et al (1998) Crop evapotranspiration guidelines for computing crop water requirements. FAO irrigation and drainage paper, vol 56. Food and Agriculture Organization of the United Nations, Rome

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