Performance of potential evapotranspiration models in Peninsular Malaysia

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 va...

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Autores principales: Ee Hang Goh, Jing Lin Ng, Yuk Feng Huang, Stephen Luo Sheng Yong
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Publicado: IWA Publishing 2021
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spelling oai:doaj.org-article:31d92381d16842ea849f151c34fdbf6a2021-11-09T23:59:42ZPerformance of potential evapotranspiration models in Peninsular Malaysia2040-22442408-935410.2166/wcc.2021.018https://doaj.org/article/31d92381d16842ea849f151c34fdbf6a2021-11-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/7/3170https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Potential 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. HIGHLIGHTS This study applied various empirical potential evapotranspiration (PET) models to estimate the PET.; Radiation-based models and temperature-based models were compared with the FAO Penman–Monteith model.; MBE, Re, NRMSE and R2 were used to evaluate the performances of PET models.; The Turc model was found to give superior performance.; The outcomes can be used as a reference for water resources-related project design.;Ee Hang GohJing Lin NgYuk Feng HuangStephen Luo Sheng YongIWA Publishingarticlepenman–monteithpotential evapotranspirationradiation-based modeltemperature-based modelturc modelEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 7, Pp 3170-3186 (2021)
institution DOAJ
collection DOAJ
language EN
topic penman–monteith
potential evapotranspiration
radiation-based model
temperature-based model
turc model
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
spellingShingle penman–monteith
potential evapotranspiration
radiation-based model
temperature-based model
turc model
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Ee Hang Goh
Jing Lin Ng
Yuk Feng Huang
Stephen Luo Sheng Yong
Performance of potential evapotranspiration models in Peninsular Malaysia
description 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. HIGHLIGHTS This study applied various empirical potential evapotranspiration (PET) models to estimate the PET.; Radiation-based models and temperature-based models were compared with the FAO Penman–Monteith model.; MBE, Re, NRMSE and R2 were used to evaluate the performances of PET models.; The Turc model was found to give superior performance.; The outcomes can be used as a reference for water resources-related project design.;
format article
author Ee Hang Goh
Jing Lin Ng
Yuk Feng Huang
Stephen Luo Sheng Yong
author_facet Ee Hang Goh
Jing Lin Ng
Yuk Feng Huang
Stephen Luo Sheng Yong
author_sort Ee Hang Goh
title Performance of potential evapotranspiration models in Peninsular Malaysia
title_short Performance of potential evapotranspiration models in Peninsular Malaysia
title_full Performance of potential evapotranspiration models in Peninsular Malaysia
title_fullStr Performance of potential evapotranspiration models in Peninsular Malaysia
title_full_unstemmed Performance of potential evapotranspiration models in Peninsular Malaysia
title_sort performance of potential evapotranspiration models in peninsular malaysia
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/31d92381d16842ea849f151c34fdbf6a
work_keys_str_mv AT eehanggoh performanceofpotentialevapotranspirationmodelsinpeninsularmalaysia
AT jinglinng performanceofpotentialevapotranspirationmodelsinpeninsularmalaysia
AT yukfenghuang performanceofpotentialevapotranspirationmodelsinpeninsularmalaysia
AT stephenluoshengyong performanceofpotentialevapotranspirationmodelsinpeninsularmalaysia
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