Comparison of Methods for Estimating REF-ET

Amatya, Devendra M.; Skaggs, R. W.; Gregory, James D.

doi:10.1061/(asce)0733-9437(1995)121:6(427)

Cited by 192 publications

(123 citation statements)

References 10 publications

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“…Hence, mathematical models are commonly used for estimating ET c over the entire range of crop development stages. Many studies show that the Penman-Monteith equation is able to estimate ET o from weather data under diverse climatic conditions with a reasonable accuracy (Amatya et al, 1995;Ventura et al, 1999;Irmak et al, 2008;Temesgen et al, 2005;Yoder et al, 2005;Lopez-Urrea et al, 2006). Several Penman-Monteith (Monteith, 1965)-type combination-based energy balance modeling approaches have been employed to estimate ET c by separately taking into account soil surface and plant canopy conditions.…”

mentioning

confidence: 99%

Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration

Odhiambo

Irmak

2012

Agricultural Water Management

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confidence: 99%

Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration

Odhiambo

Irmak

2012

Agricultural Water Management

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“…These results showed that even though the estimated ET o and ET o FAO56PM had a good linear relationship, the prediction is greatly biased, as indicated by a high MBE, RMSE and MAE values. The countrywide performance are shown in Table 3, in terms of MBE, RMSE and MAE values, the HarM1 and HarM2 models showed the low- (Saeed 1986, Amatya et al 1995, Allen et al 1998, Temesgen et al 1999, Samani 2000, Droogers and Allen 2002, Xu and Singh 2002, Fooladmand and Haghighat 2007. It has also been shown that Hargreaves equations tend to overestimate ET o at low ET o rates and to underestimate it at high ET o rates (Droogers andAllen 2002, Xu andSingh 2002).…”

Section: Resultsmentioning

confidence: 96%

Evaluation of evapotranspiration models for estimating daily reference evapotranspiration in arid and semiarid environments

Mohawesh¹

2011

PLANT SOIL ENVIRON

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145The United Nations of Food and Agricultural Organization (FAO) proposed a methodology for computing crop evapotranspiration (ET o ) and crop coefficient (K c ) (Doorenbos and Pruitt 1977). These coefficients depend on several factors including crop type, stage of crop growth, canopy height and density (Allen et al. 1998). To schedule irrigation properly, an accurate and standard method to estimate ET o to predict crop water requirements, was stated by several authors (Chiew et al. 1995;Allen 1996). A great number of models was developed to estimate ET o for use in environments that lack direct ET o measurements Pruitt 2004, Gavilán et al. 2006). A major complication in ET o estimation using these models is the requirement for meteorological data that may not be easily available. This restriction at times prohibits use of more accurate models, and necessitates the use of models that have less demanding data requirements.An international scientific community has accepted the FAO56 Penman-Monteith (FAO56PM) model as the most precise one for its good results when compared with other models in various regions of the entire world (Chiew et al. 1995, Garcia et al. 2004, Gavilán et al. 2006. Estimation of reference ET o by globally accepted FAO56PM (Allen et al. 1998) requires the weather parameters like maximum and minimum temperature, solar radiation, sunshine hours, wind speed, relative humidity. However, for many locations, as is the case for Jordan, such meteorological variables are often incomplete and/ or not available. Furthermore, no published studies have examined the applicability of ET o models across Jordan, a country with a great gradient in temperature and precipitation. Moreover, the local calibration and validation of other models is more important in semiarid and arid regions than the temperate climate because most of these models were calibrated and validated in temperate environment (Dehghani Sanji et al. 2003). The objectives of this study were to (1) assess the performance of simpler models that require less readily available data against FAO56PM, and (2) to determine models performance across spaces in Jordan, focusing on arid versus semiarid environment. Evaluation of evapotranspiration models for estimating daily reference evapotranspiration in arid and semiarid environments O.E. MohaweshDepartment of Plant Production, Faculty of Agriculture, Mu'tah University, Al-Karak, Jordan ABSTRACT Daily outputs from eight evapotranspiration models were tested against reference evapotranspiration (ET o ) data computed by FAO56PM to assess the accuracy of each model in estimating ET o . Models were compared at eight stations across Jordan. Results show that Hargreaves modified models were the best in light of mean biased error (MBE), root mean square error (RMSE) and mean absolute error (MAE). The MBE, RMSE, and MAE values ranged from -1.47 to 0.81, 3.87 to 1.14 and 0.87 to 3.15 mm/day for HarM1, and from -1.45 to 0.89, 1.08 to 3.91, and 0.85 to 3.16 mm/day for HarM2, respectively, which would make it th...

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“…Tabari (2010) found the Makkink model performed best in cold humid climates like the Netherlands. Amatya et al (1995) found Turc model the best prediction method for the humid coastal plains of the United States and so on. In this study, the results of the statistical measures showed Hargreaves-Samani method ranked best for both daily and monthly evaluation with Epan data as benchmark.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of empirical models for estimating reference-evapotranspiration (RET-ET) in humid semi-hot equatorial coastal climate

Ologhadien¹,

Nwaogazie²

2017

Int. J. Water Res. Environ. Eng.

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Comparison of Methods for Estimating REF-ET

Cited by 192 publications

References 10 publications

Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration

Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration

Evaluation of evapotranspiration models for estimating daily reference evapotranspiration in arid and semiarid environments

Evaluation of empirical models for estimating reference-evapotranspiration (RET-ET) in humid semi-hot equatorial coastal climate

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