Evaluation of Reference Evapotranspiration Equations Under Humid Conditions

Trajković, Slaviša; Kolaković, Srdjan

doi:10.1007/s11269-009-9423-4

Cited by 167 publications

(96 citation statements)

References 19 publications

(28 reference statements)

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“…Conceição & Mandelli (2005), studying ETo values estimated with the empirical equations and compared to the FAO-PM method, concluded that the methods employing only air temperature, such as Hargreaves-Samani and Thornthwaite, showed poorer results than the others for the city of Bento Gonçalves, RS, Brazil. This result was also observed by Trajkovic & Kolakovic (2009), when they compared five ETo equations against FAO-PM using data from seven humid locations in Croatia and Serbia; the equations ranked in decreasing order were: Turc, Priestley-Taylor, Jensen-Haise, Thornthwaite, and Hargreaves. Reis et al (2007) also found the worst performance of the Hargreaves-Samani method compared to the FAO-PM on a daily scale; therefore, there is a restriction of its use for the weather conditions in the three localities of Espírito Santo State, Brazil during the dry period.…”

Section: Resultssupporting

confidence: 61%

FAO Penman-Monteith equation for reference evapotranspiration from missing data

Carvalho

Evangelista

Oliveira

et al. 2013

Idesia

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The determination of the amount of water needed for crops is one of the main parameters for correct irrigation planning. In this context the FAO Penman-Monteith method (FAO-PM) has been recommended as the best for the reference evapotranspiration (ETo) estimates. However it is not always possible to have all the necessary data for its application; in this case, alternative criteria must be used for this estimation. In this study, the objective was to estimate ETo by the FAO-PM method with only the maximum and minimum temperature values, here called Simplified FAO-PM, and compare it to the standard method (FAO-PM) with all input data, for Lavras, Minas Gerais State, Brazil. It was observed that the alternative method has the tendency to overestimate the standard method, however, this approach is feasible to estimate ETo for irrigation scheduling in localities where not all input data required for FAO-PM is available.Key words: evapotranspiration estimate, minimum temperature, maximum temperature, irrigation management. RESUMEN La cuantificación de las necesidades de agua del cultivo es un parámetro clave para la planificación del riego. En el presente, la ecuación de Penman-Monteith (FAO-PM) ha sido recomendada como la mejor para estimar la evapotranspiración de referencia (ETo

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Section: Resultssupporting

confidence: 61%

FAO Penman-Monteith equation for reference evapotranspiration from missing data

Carvalho

Evangelista

Oliveira

et al. 2013

Idesia

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“…Hargreaves equation was also the best model to estimate ETo in eastern arid and semiarid regions of Iran [31]. [32] indicated that the Turc equation was the best in the Western Balkans in Europe. [22] reported that Hansen and Turc equations were the most useful for ETo estimation in Greece.…”

Section: Introductionmentioning

confidence: 90%

Performance of Twelve Mass Transfer Based Reference Evapotranspiration Models under Humid Climate

Djaman¹,

Koudahe²,

Sall³

et al. 2017

JWARP

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Reference evapotranspiration is very important parameter in the hydrological, agricultural and environmental studies and is accurately estimated by the FAO Penman-Monteith equation (FAO-PM) under different climatic conditions. However, due to data requirement of the FAO-PM equation, there is a need to investigate the applicability of alternative ETo equations under limited data. The objectives of this study were to evaluate twelve mass transfer based reference evapotranspiration equations and determine the impact of ETo equation on long term water management sustainability in Tanzania and Kenya. The results showed that the Albrecht, Brockamp-Wenner, Dalto, Meyer, Rohwer and Oudin ETo equations systematically overestimated the daily ETo at all weather stations with relative errors that varied from 34% to 94% relative to the FAO-PM ETo estimates. The Penman, Mahringer, Trabert, and the Romanenko equations performed best across Tanzania and the South Western Kenya with root mean squared errors ranging from 0.98 to 1.48 mm/day, which are relatively high and mean bias error (MBE) varying from −0.33 to 0.02 mm/day and the absolute mean error (AME) from 0.79 to 1.16 mm/day. For sustainable water management, the Trabert equation could be adopted at Songea, the Mahringer equation at Tabora, the Dalton and/or the Rohwer equations at Eldoret, the Romanenko equation at Dodoma, Songea and Eldoret. However, regional calibration of the most performing equation could improve water management at regional level.

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“…It was also found to significantly overestimate ET in this study area, and the relative errors were respectively around 59 and 48%. Such overestimation also occurred in the humid regions of Serbia [30] and Florida of the USA [31]. …”

mentioning

confidence: 89%

Comparison of Evapotranspiration Methods Under Limited Data

Yeh¹

2017

Current Perspective to Predict Actual Evapotranspiration

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A limited number of parameters or a single meteorological parameter was used in this study to estimate evapotranspiration. The main objectives of this study are as follows.(1) The Penman-Monteith method was used to estimate ET. The empirical formula published by the Food and Agriculture Organization (FAO) was applied via substitution to compare situations that were missing certain meteorological parameters. (2) Radiation-based methods and temperature-based methods were compared with the Penman-Monteith method to estimate ET and discuss their applicability in the study area. With Tainan Weather Station of Taiwan as the study area, this study selected the Penman-Monteith method as well as six other radiation-based estimation formulas: Makkink, Turc, Jensen-Haise, Priestley-Taylor, Doorenbos-Pruit, and Abtew methods. The other four temperature-based estimation formulas, namely, Thornthwaite, BlaneyCriddle, Hamon, and Linacre methods, were used to estimate ET and compare the differences and the results were compared with the Penman-Monteith method. The results showed that there was little effect on estimating ET using the Penman-Monteith method when the wind speed data was missing or insufficient. The Turc method was the best among the six radiation-based estimation formulas, while the Linacre method was the best temperature-based estimation formula. Generally speaking, radiation-based estimation formulas were more accurate than temperature-based estimation formulas.

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Evaluation of Reference Evapotranspiration Equations Under Humid Conditions

Cited by 167 publications

References 19 publications

FAO Penman-Monteith equation for reference evapotranspiration from missing data

FAO Penman-Monteith equation for reference evapotranspiration from missing data

Performance of Twelve Mass Transfer Based Reference Evapotranspiration Models under Humid Climate

Comparison of Evapotranspiration Methods Under Limited Data

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