Performance of potential evapotranspiration models in Peninsular Malaysia

Abstract

Potential evapotranspiration (PET) is an important parameter for the operation of irrigation projects and water resources management. The globally recognized PET estimation model, the FAO-56 Penman–Monteith (FAO-56 PM) model, had been criticized for its requirement of many detailed meteorological variables, but nevertheless has been accepted as the baseline model in many worldwide studies. The performances of different PET models can be found to be excellent for a specific location but may not be representative in other regions. The aim of this study is to select the most suitable PET model to estimate PET in Malaysia. Three radiation-based models and four temperature-based models were compared with the FAO-56 PM model at seven selected meteorological stations in Peninsular Malaysia. The mean bias error, relative error (Re) and normalized root-mean-square error (NRMSE) and coefficient of determination (R2) were used to evaluate the performances of the PET models. The Re values of Turc models were below 0.2 at all stations, while Priestly–Taylor, Thornthwaite, Thornthwaite-corrected and Blaney–Criddle models were above 0.2. The Makkink and Hargreaves–Samani models were below 0.2 at most of the stations. Thus, the Turc model was recommended as the best model to estimate PET in Peninsular Malaysia.

An effective evapotranspiration estimation scheme based on statistical indicators for sustainable environments in humid and semi-arid area of Khyber Pakhtunkhwa, Pakistan

“…Various studies have been conducted in various regions of the globe to ascertain the optimised ETo model (Farzanpour et al, 2019;Jing et al, 2019;Khodayvandie et al, 2020;Salam et al, 2020;Goh et al, 2021;Sharafi & Ghaleni, 2021;Trajkovic & Gocic, 2021;Vishwakarma et al, 2022). Tables 3 and 4 In Contrast, the SEE of the modified Hargreavesmethod varied from (0.57) mm per day at Kakul to 22.61 mm per day at Saidu Sharif.…”

Comparison and applicability analysis of different evapotranspiration models for maize farmland in the lower Yellow River Plain based on the eddy covariance system

“…The Ma model is a simple radiation-based model for evapotranspiration estimation using temperature and radiation data (Hang et al 2021). The Ma model can be expressed as follows:…”

“…Priestly and Taylor demonstrated that the net radiation was the main factor influencing the evapotranspiration rate when large areas of land became increasingly saturated, and the P-T model is suitable for humid areas (Hang et al 2021). The P-T model can be expressed as follows:…”

“…Changes in the actual evapotranspiration are closely related to meteorological conditions (such as the air temperature, precipitation and wind speed) and surface characteristics (including soil moisture, crop type and growth status) (Wang et al 2016;Lu et al 2022). Accurate evapotranspiration estimation is of great significance for guiding water use in agricultural production, monitoring farmland drought, studying the law of water consumption during the growth cycle of farmland crops, improving the water use efficiency, rationally allocating agricultural water resources and irrigation management (Hang et al 2021;Yan et al 2022;Zhao et al 2022).…”

Statistical modelling of extreme temperature in Peninsular Malaysia

“…Peninsular Malaysia is formed up by eleven states and two federal territories. The total area of Malaysia is 131794 km 2 and is categorized as hot and humid throughout the year [10][11]. In this study, the main focus is on Peninsular Malaysia.…”