Estimation of Reference Evapotranspiration in Semi-Arid Region with Limited Climatic Inputs Using Metaheuristic Regression Methods

Estimation of Reference Evapotranspiration in Semi-Arid Region with Limited Climatic Inputs Using Metaheuristic Regression Methods

Different regression-based machine learning techniques, including support vector machine (SVM), random forest (RF), Bagged trees algorithm (BaT), and Boosting trees algorithm (BoT) were adopted for modeling daily reference evapotranspiration (ET<sub>0</sub>) in a semi-arid region (Hemren...

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Bibliographic Details
Main Authors: Saad Sh. Sammen, Ozgur Kisi, Ahmed Mohammed Sami Al-Janabi, Ahmed Elbeltagi, Mohammad Zounemat-Kermani
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Water
Subjects:
climatic inputs
evapotranspiration
Hemren catchment
machine learning
prediction
semi-arid region
Online Access:https://www.mdpi.com/2073-4441/15/19/3449

Internet

https://www.mdpi.com/2073-4441/15/19/3449

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