Performance evaluation of FAO Penman-Monteith and best alternative models for estimating reference evapotranspiration in Bangladesh

Islam, Shakibul; Alam, A.K.M. Rashidul

doi:10.1016/j.heliyon.2021.e07487

Cited by 21 publications

(10 citation statements)

References 52 publications

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“…Among the radiation-based methods, Tabari et al [26] reported that the Irmak method performed better than the J-H method under humid conditions in Northern Iran and in other humid regions. Similar results were reported by Pandey et al [25] in Northeastern India and by Islam and Alam [50] in Bangladesh. The FAO24-R method has been shown to outperform the J-R method in the subhumid valley rangeland of the Eastern Himalayas [59], as well as the J-H method under tropical semi-humid conditions in a Brazilian savannah [24].…”

Section: Comparison With Previous Studiessupporting

confidence: 88%

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Optimal Selection of Empirical Reference Evapotranspiration Method in 36 Different Agricultural Zones of China

et al. 2021

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The Food and Agriculture Organization has proposed the current version of the Penman–Monteith method (FAO56-PM) as the standard for calculating reference evapotranspiration (ET0); however, high meteorological data requirements limit its application in many areas. There is thus an urgent need to identify the best alternative empirical method to accurately calculate ET0 in regions that lack sufficient meteorological data. In this study, three temperature-based methods and five radiation-based methods were evaluated using ET0 values generated using the FAO56-PM method in 36 agricultural zones in China based on meteorological data from 823 stations, measured between 2011 and 2020. The results showed that the optimal temperature-based method and radiation-based method differed for different agricultural zones, and no one temperature method or radiation method could be suitable for all agricultural zones. The eight empirical methods were regionally calibrated to improve the ET0 calculation accuracy in the different zones. The relationship between the optimal methods and climatic conditions showed that the most reliable empirical method could be selected according to the local annual mean temperature and aridity index. The results provide useful guidance for the selection of reliable empirical ET0 methods in agricultural zones outside China.

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Section: Comparison With Previous Studiessupporting

confidence: 88%

“…Allen et al [9] recommended using linear regression to calibrate the empirical ET 0 methods using the ET 0 values obtained by the FAO56-PM method, and this calibration method has been widely adopted worldwide [35,38,39,[48][49][50]. The calibration process uses the following expression:…”

Section: Calibration Methodsmentioning

confidence: 99%

Optimal Selection of Empirical Reference Evapotranspiration Method in 36 Different Agricultural Zones of China

et al. 2021

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“…Modified Penman method gave ET0 values nearly closed to the values of FAO-Penman-Monteith values. It was added that the FAO-Penman-Monteith method is the most ideal for ET0 estimation if the involved climatological data are required and the evaporation pan method can be also used, and all factors affecting its records are considered Islam et al, 2021.…”

Section: Reference Evapotranspiration (Eto)mentioning

confidence: 99%

Evaluation of direct and indirect methods used to determine crop coefficient and crop evapotranspiration of sugar beet plants grown under fayoum conditions

EL-Samnoudi

Ibrahim

Tawwab

et al. 2021

Fayoum Journal of Agricultural Research and Development

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With increasing water scarcity, the determination of reference evapotranspiration ETo and crop coefficient (Kc) is a critical factor in determining the crop water demand ETc. Therefore, the current investigation aimed to evaluate and compare the estimated sugar beet crop evapotranspiration (ETc) values computed by different empirical methods (e.g. Hargreaves, Penmen-Monteith and Class-A pan) with the measured actual sugar beet evapotranspiration (ETa). To determine the ETa for sugar beet crop field experiment was conducted during two growing seasons (2019/2020 and 2020/2021) in Demo farm, Faculty of Agriculture, Fayoum University, Egypt. Sugar beet seeds (Beta vulgaris L., Baraca) was planted in 1 st October and harvested in April during two successive winter seasons. Irrigation water was applied when the soil moisture content was depleted by 30% of available water. All the obtained results were statistically analyzed to evaluate the best method for estimating the reference evapotranspiration and suitable for optimizing the irrigation management practices for sugar beet plants grown under arid and semi-arid conditions. The obtained results concluded that among the used methods (Hargreaves, Penmen-Monteith and Class A pan) for estimating sugar beet crop evapotranspiration (ETc) in comparison with ETa measured values, the Penmen-Monteith performed well in describing the ETc and Kc for sugar beet plants grown in Fayoum Governorate, Egypt.

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“…Thus to overcome this problem, several scientists and researchers from around the world applied a variety of empirical equations to calculate evapotranspiration (such as the Hargraves, the Blanley Criddle, the Thornthwaite, and the Makkink), but none of them could be deemed flawless due to the vast variations in climatic conditions in different parts of the world (Yates and Strzepe 1994 ; Faruk Bin Poyen et al 2016 ). However, the strong dependence of evaporation on the radiation energy term has been generally accepted (Islam and Rashidul Alam 2021 ; Flores-Velazquez et al 2022 ). Evapotranspiration estimation based on solar radiation measurements eliminates the effect of the surface albedo and minimizes the contribution of the aerodynamic term.…”

Section: Introductionmentioning

confidence: 99%

Calibration and validation of solar radiation-based equations to estimate crop evapotranspiration in a semi-arid climate

Nikolaou,

Neocleous,

Manes

et al. 2023

Int J Biometeorol

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The Abtew and Jensen-Haise solar radiation-based equations were used to estimate evapotranspiration, considering the limited climatic data in many locations. Both equations were proven to successfully predict the potential evapotranspiration (ETO) compared with the standard Penman–Monteith (PM) method in two Mediterranean countries. Calibration of the constant coefficient k of the Abtew equation showed substantial differences compared to recommended values (1.22 vs. 0.53), with the highest values observed during September (1.46). Validation of ETO measurements using calibrated Abtew equation against the PM method indicated a high correlation coefficient (r2 = 0.97, RMSE = 0.61). Further, evapotranspiration requirements, using the calibrated empirical equation, were calculated for olives (449 mm) and citrus (807 mm) showing a good agreement with recommended values for dry climate regions. Therefore, the tested equations could be safely used to predict frequencies and doses of irrigation in semi-arid climates, considering limited climatic data availability.

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Performance evaluation of FAO Penman-Monteith and best alternative models for estimating reference evapotranspiration in Bangladesh

Cited by 21 publications

References 52 publications

Optimal Selection of Empirical Reference Evapotranspiration Method in 36 Different Agricultural Zones of China

Optimal Selection of Empirical Reference Evapotranspiration Method in 36 Different Agricultural Zones of China

Evaluation of direct and indirect methods used to determine crop coefficient and crop evapotranspiration of sugar beet plants grown under fayoum conditions

Calibration and validation of solar radiation-based equations to estimate crop evapotranspiration in a semi-arid climate

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