2022
DOI: 10.21203/rs.3.rs-1366239/v1
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High Resolution Reference Evapotranspiration for Arid Egypt: comparative analysis and evaluation of empirical and artificial intelligence models

Abstract: Accurate estimation of evapotranspiration has crucial importance in arid regions like Egypt, which suffers from the scarcity of precipitation and water shortages. This study provides an investigation of the performance of 31 widely used empirical equations and 20 models developed using five artificial intelligence (AI) algorithms to estimate reference evapotranspiration (ET o ) to generate gridded high-resolution daily ET o estimates over Egypt. The AI algorithms include support vector machine-radial basis… Show more

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Cited by 5 publications
(1 citation statement)
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“…The KGE metric was used as it can assess three different statistical characteristics and presents them in one metric. The KGE is widely used for GCM performance evaluation (Hamed et al 2021(Hamed et al , 2022aSobh et al 2022). As presented in Equation 1, it interoperates Pearson's correlation (𝑟), bias (𝛽) and variability ratio (𝛾).…”
Section: Gcms Performance Evaluationmentioning
confidence: 99%
“…The KGE metric was used as it can assess three different statistical characteristics and presents them in one metric. The KGE is widely used for GCM performance evaluation (Hamed et al 2021(Hamed et al , 2022aSobh et al 2022). As presented in Equation 1, it interoperates Pearson's correlation (𝑟), bias (𝛽) and variability ratio (𝛾).…”
Section: Gcms Performance Evaluationmentioning
confidence: 99%