Performance of Estimative Models for Daily Reference Evapotranspiration in the City of Cassilândia, Brazil

Cunha, Fernando França da; Magalhães, Fernando Fagner; Castro, Marco Aurélio de; Souza, Epitácio José de

doi:10.1590/1809-4430-eng.agric.v37n1p173-184/2017

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…The poor performance of RM method can be explained by the fact that, in addition to having a low requirement of meteorological variables for its implementation, it is calculated on the monthly scale, and have been adjusted to the daily scale in this work. Similar behavior was observed in the state's northeastern Mato Grosso when Cunha et al (2017) which evaluated the performance of 30 ETo estimation methods. The TC method was the one that most stood out among the eight models tested, evaluated as optimum in seven out of ten investigated locations, presenting a good correspondence among the estimates (r≥0.73), associated with one of the lowest scattering degrees of the data (RMSE≤0.52 mm d -1 ).…”

Section: Comparison Of the Reference Evapotranspiration Equations In supporting

confidence: 66%

Assessment of empirical methods for estimation of reference evapotranspiration in the Brazilian Savannah

et al. 2019

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Evapotranspiration can be sufficiently estimated when meteorological data are available to implement robust models such as Penman-Monteith (PM). However, due to data scarcity, alternative approaches are necessary. In this context, this study aims to compare the reference evapotranspiration (ETo) obtained from the PM standard method with eight empirical equations to identify the simplest method that can be alternative to the reference method (Penman Monteith method) for ten places in state of Goiás (located in west-central Brazil, Brazilian Savanna). To estimate the ETo, air temperature and relative humidity air, wind speed, sunshine and solar radiation data, which were obtained from the data platform National Institute of Meteorology and the Meteorological and Hydrological System of the State of Goiás, were used. For comparison of empirical methods with PM standard method, we used the following statistical indicators: slope and intercept coefficients (β0 and β1) of regressions equations, the coefficient of determination (r²), Pearson's correlation (r), mean bias error (MBE), root mean square error (RMSE) concordance index refined (dr) and performance index (Pi). Our results indicated that the Turc method is the best option for the state of Goiás when meteorological data are not suffeciently available to use the standard PM method. On the other hand, the method of Romanenko did not present acceptable performance in nine of the ten studied localities. Therefore, its use is advised only in the municipality of the Itumbiara. Among evaluated methods the Hargreaves-Samani method is the best alternative, when there is only air temperature data.

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Section: Comparison Of the Reference Evapotranspiration Equations In supporting

confidence: 66%

Assessment of empirical methods for estimation of reference evapotranspiration in the Brazilian Savannah

et al. 2019

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“…A maioria dos métodos para estimar a ETP na literatura são em escala diária. Os principais métodos projetados em escala mensal são Camargo, Linacre, Hamon, Romanenko, Lungeon e Thornthwaite (Cunha et al, 2017b;Fernandes et al, 2010).…”

Section: Introductionunclassified

Accuracy of Potential Evapotranspiration Models in Different Time Scales

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Meneses

Torsoni³

et al. 2020

Rev. bras. meteorol.

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Abstract Know the precision of potential evapotranspiration models in different agronomic and climatic conditions is useful for irrigated agriculture. Therefore, we aimed to compare 18 methods of estimation of ETP with the Penman-Monteith (FAO-56) method, at different time scales for the State of Mato Grosso do Sul. Time series of climatic data were used on a daily scale between 1983 and 2018 from 22 locations in the state of Mato Grosso do Sul. ETP estimation models tested were: Benevidez-Lopez, Blaney-Criddle, Camargo, Hamon, Hargreaves, Hargreaves-Samani, Jensen-Haise, Jobson, Kharrufa, Linacre, Makkink, Penman, Priestley-Taylor, Radiation, Romanenko, Tanner-Pelton, Thornthwaite, and Turc. These models were compared with Penman-Monteith in daily, weekly, and monthly scales. The comparison between the ETP estimation models and the Penman-Monteith model was performed by the statistical indices: accuracy (MAPE) and precision (R2aj). Estimation methods showed differences in efficiency over time scales. The best performances of the models were on the daily scale. For daily scale, methods of Priestley-Taylor, Hargreaves, Hamon, and Makkink present the best values of accuracy and precision for the State of Mato Grosso do Sul. In the weekly scale, the most accurate methods are Hamon and Makkink, while for monthly scale the best methods are Makkink and Priestley-Taylor.

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“…In contrast, the agreement obtained here with the proposed ETo MJS method ranged from 0.92 to 0.95 across the same climatic regions. Moreover, the ETo MJS agreement index was higher (“ d ” index = 0.92 to 0.95) than observed with other alternative methods (“ d ” index = 0.50 to 0.82) [ 47 ]. Therefore, the use of solar radiation in the alternative methods significantly improved ETo estimates.…”

Section: Discussionmentioning

confidence: 99%

Expanding the geography of evapotranspiration: An improved method to quantify land-to-air water fluxes in tropical and subtropical regions

2017

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The development of new reference evapotranspiration (ETo) methods hold significant promise for improving our quantitative understanding of climatic impacts on water loss from the land to the atmosphere. To address the challenge of estimating ETo in tropical and subtropical regions where direct measurements are scarce we tested a new method based on geographical patterns of extraterrestrial radiation (Ra) and atmospheric water potential (Ψair). Our approach consisted of generating daily estimates of ETo across several climate zones in Brazil–as a model system–which we compared with standard EToPM (Penman-Monteith) estimates. In contrast with EToPM, the simplified method (EToMJS) relies solely on Ψair calculated from widely available air temperature (oC) and relative humidity (%) data, which combined with Ra data resulted in reliable estimates of equivalent evaporation (Ee) and ETo. We used regression analyses of Ψair vs EToPM and Ee vs EToPM to calibrate the EToMJS(Ψair) and EToMJS estimates from 2004 to 2014 and between seasons and climatic zone. Finally, we evaluated the performance of the new method based on the coefficient of determination (R2) and correlation (R), index of agreement “d”, mean absolute error (MAE) and mean reason (MR). This evaluation confirmed the suitability of the EToMJS method for application in tropical and subtropical regions, where the climatic information needed for the standard EToPM calculation is absent.

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Performance of Estimative Models for Daily Reference Evapotranspiration in the City of Cassilândia, Brazil

Abstract: Before choosing the method of the estimate of reference evapotranspiraton (ET0) in a region, it is important to evaluate the degree of precision of the model. The present research aimed to evaluate the performance of 30 methods for daily ET0 estimate in the Cassilândia city, Brazil.

Cited by 7 publications

References 16 publications

Assessment of empirical methods for estimation of reference evapotranspiration in the Brazilian Savannah

Assessment of empirical methods for estimation of reference evapotranspiration in the Brazilian Savannah

Accuracy of Potential Evapotranspiration Models in Different Time Scales

Expanding the geography of evapotranspiration: An improved method to quantify land-to-air water fluxes in tropical and subtropical regions

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