Evaluation of reference evapotranspiration methods for the northeastern region of India

Pandey, Pankaj; Dabral, P. P.; Pandey, Vikas

doi:10.1016/j.iswcr.2016.02.003

Cited by 94 publications

(73 citation statements)

References 46 publications

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“…In order to identify a suitable alternative to the FAO‐56 method for calculating reference evapotranspiration in northeast India, which falls under the humid subtropical ecosystem, Pandey et al . () compared 17 different ET o methods, and found that the 1957 Makk was one of the 5 best methods in calculating mean daily ET o with a D value of 0.85, and r 2 of 0.84.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Reference Evapotranspiration Methods in Arid, Semiarid, and Humid Regions

Gao

Feng

Ouyang

et al. 2017

J American Water Resour Assoc

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It is often necessary to find a simpler method in different climatic regions to calculate reference crop evapotranspiration (ETo) since the application of the FAO‐56 Penman‐Monteith method is often restricted due to the unavailability of a comprehensive weather dataset. Seven ETo methods, namely the standard FAO‐56 Penman‐Monteith, the FAO‐24 Radiation, FAO‐24 Blaney Criddle, 1985 Hargreaves, Priestley‐Taylor, 1957 Makkink, and 1961 Turc, were applied to calculate monthly averages of daily ETo, total annual ETo, and daily ETo in an arid region at Aksu, China, in a semiarid region at Tongchuan, China, and in a humid region at Starkville, Mississippi, United States. Comparisons were made between the FAO‐56 method and the other six simple alternative methods, using the index of agreement D, modeling efficiency (EF), and root mean square error (RMSE). For the monthly averages of daily ETo, the values of D, EF, and RMSE ranged from 0.82 to 0.98, 0.55 to 0.98, and 0.23 to 1.00 mm/day, respectively. For the total annual ETo, the values of D, EF, and RMSE ranged from 0.21 to 0.91, −43.08 to 0.82, and 24.80 to 234.08 mm/year, respectively. For the daily ETo, the values of D, EF, and RMSE ranged from 0.58 to 0.97, 0.57 to 0.97, and 0.30 to 1.06 mm/day, respectively. The results showed that the Priestly‐Taylor and 1985 Hargreaves methods worked best in the arid and semiarid regions, while the 1957 Makkink worked best in the humid region.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Reference Evapotranspiration Methods in Arid, Semiarid, and Humid Regions

Gao

Feng

Ouyang

et al. 2017

J American Water Resour Assoc

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“…These methods can be grouped into three categories: (i) those based on energy balance and mass transfer concepts, often referred to as the combination equation or Penman-Monteith (PM) method [9]; (ii) those based on empirical relationships between ET o and temperature-(e.g., Thornthwaite [37] and Hargreaves and Samani (HS) [38]); and (iii) and radiation-based approach which utilise measured or estimated solar radiation flux density at the surface (e.g., Jensen and Haise [39]; McGuinness and Bordne [40]; and Priestley and Taylor [41]). The PM method is widely considered to be the most reliable indirect method [9,42,43]. However, its main shortcoming is that it requires a complete weather data set (net radiation flux density, temperature, relative humidity and wind speed) which is not always available for many areas [13,32].…”

Section: Reference Evapotranspiration (Et O ) Estimation Methodsmentioning

confidence: 99%

“…The performance of temperature-and radiation-based methods, relative to the PM method, is spatially and temporally variable [44,45]. The HS method is generally agreed to be the best temperature-based approach [46,47] but has been reported to perform poorly in some semi-arid contexts [45] where radiation-based methods may be more suitable [43]. Several alternative approaches to the PM method were, therefore considered here.…”

Section: Reference Evapotranspiration (Et O ) Estimation Methodsmentioning

confidence: 99%

Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data

2017

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Estimating daily evapotranspiration is challenging when ground observation data are not available or scarce. Remote sensing can be used to estimate the meteorological data necessary for calculating reference evapotranspiration ET o . Here, we assessed the accuracy of daily ET o-G (PM) was adopted as the main benchmark. HS underestimated ET o by 2%-3% (R 2 = 0.86 to 0.90; RMSE = 0.95 to 1.2 mm day −1 at different stations). JH and MB overestimated ET o by 8% to 40% (R 2 = 0.85 to 0.92; RMSE from 1.18 to 2.18 mm day −1 ). The annual average values of ET o estimated using RS data and ground-based data were similar to one another reflecting low bias in daily estimates. They ranged between 1153 and 1893 mm year −1 for ET o-G and between 1176 and 1859 mm year −1 for ET o-RS for the different stations. Our results suggest that ET o-RS (HS) can yield accurate and unbiased ET o estimates for semi-arid regions which can be usefully employed in water resources management.

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“…The meteorological data required vary with the type of indirect methods. The Penman and Priestley and Taylor methods require most meteorological data and the Penman is generally considered as the most accurate one [8] [9] [10] [11] [12], but as for the Class A pan data, the required data is only collected at few meteorological stations. Thornthwaite Mather, which is used frequently in Ethiopia, needs fewer climatic data (temperature and sunshine hour).…”

Section: Introductionmentioning

confidence: 99%

Predicting Reference Evaporation for the Ethiopian Highlands

Adem¹,

Aynalem²,

Tilahun³

et al. 2017

JWARP

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Water is likely the most limiting factor in increasing agricultural production in large parts of Africa. Reference evaporation (ET 0 ) is a key hydrological parameter to use efficiently the scarce supply. Several methods are available for predicting reference evaporation, but the accuracy of any of the methods has not been established for the Ethiopian highlands. The objective of this study is, therefore, to select the best methods for calculating the reference evaporation ET 0 . For the section, meteorological data of the Bahir Dar station were used, because all data needed for this study including the Class A pan Evaporation were recorded on a daily basis. Pan evaporation was considered as the best estimator of the reference evaporation. The results showed that the FAOPenman Monteith (using solar radiation, wind speed, temperature and relative humidity) and Enku method (using only maximum daily temperatures) have acceptable daily ET 0 ranges and predicted to Class A pan evaporation with correlation coefficients greater than 90% in a monthly basis. Next best was the Thornthwaite's method with correlation coefficient of 89% with pan evaporation. Piche methods performed relatively well with correlation coefficient of greater than 70%. Blaney-Criddle, Priestley & Taylor, and Hargreaves performed the poorest in predicting pan evaporation. These methods should be recalibrated for local condition and therefore not recommended for use in the Ethiopian highlands. In summary, the FAO-Penman Monteith is recommended for locations where the input data are available; otherwise, the Enku method using maximum daily temperature is best for estimating the reference evaporation.

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Evaluation of reference evapotranspiration methods for the northeastern region of India

Cited by 94 publications

References 46 publications

Evaluation of Reference Evapotranspiration Methods in Arid, Semiarid, and Humid Regions

Evaluation of Reference Evapotranspiration Methods in Arid, Semiarid, and Humid Regions

Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data

Predicting Reference Evaporation for the Ethiopian Highlands

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