Modeling reference evapotranspiration with calculated targets. Assessment and implications

Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

“…Gene-expression programming (GEP) interface is a powerful technique applied in many engineering researches with good generalization ability (Azamathulla et al, 2011;Shiri et al, 2014a,b,c;Marti et al, 2015;Kisi and Sanikhani, 2015). It has been observed that related studies in the literature related to the use for ET 0 modeling are scare.…”

Modeling daily reference ET in the karst area of northwest Guangxi (China) using gene expression programming (GEP) and artificial neural network (ANN)

“…Traore and Guven (2012; developed new algebraic ET 0 formulations extracted from gene expression programming for Africa area. Marti et al (2015) assessed performance implications derived from using calculated targets, instead of experimental measurements, to train and test data-driven models, or calibrate empirical methods. They found that the accuracy of the GEP models trained with calculated targets decreases considerably when performance was assessed using experimental benchmarks.…”

Evaluation of FAO56-PM, empirical, semi-empirical and gene expression programming approaches for estimating daily reference evapotranspiration in hyper-arid regions of Iran

“…Analysis of the obtained K r values shows that there are some values greater than 1.4 (1.407 for Larduring the summer), which depicts a significant distance between the ET o and ET r points of two models. A reason for such differences in different seasons during the year might be lacking the observational data for ET r and ET o , so the conclusions obtained by Marti et al (2015) which shows the necessity of confirming the FAO56-PM-based studies using lysimetric data (in case of data availability) should be born in mind when using these values for modeling.…”