Development of a temperature-based model using machine learning algorithms for the projection of evapotranspiration of peninsular Malaysia

• Main Authors: Muhammad, Mohd. Khairul Idlan, Shahid, Shamsuddin, Hamed, Mohammed Magdy, Harun, Sobri, Ismail, Tarmizi, Wang, Xiaojun
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/104706/1/MohdKhairulIdlan2022_DevelopmentofaTemperature-BasedModel.pdf; http://eprints.utm.my/104706/; http://dx.doi.org/10.3390/w14182858

Reliable projections of evapotranspiration (ET) are important for agricultural and water resources development, planning, and management. However, ET projections using well established empirical models suffer from uncertainty due to their dependency on many climatic variables. This study aimed to de...