Métodos Empíricos Para Estimativa Da Evapotranspiração De Referência No Estado Do Rio De Janeiro

Vallory, Natan Didoné; Dohler, Rafael Esteves; Cecílio, Roberto Avelino; Zanetti, Sandra Aparecida Serra

doi:10.7127/rbai.v10n200407

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…The Priestley-Taylor method was the one that showed the worst performance, and the obtained values did not present a good fit concerning the class A pan method used in CENICAÑA The values were of r = 0.36, d = 0.35, and c = 0.13, indicating "terrible" performance. In the same way, Vallory et al (2016) concluded that the Camargo method for the estimation of ET 0 on a daily basis cannot be recommended in summer climatic conditions, which are the conditions usually found in the study area.…”

Section: Ementioning

confidence: 82%

Reference evapotranspiration estimation by different methods for the sucroenergy sector of Colombia

Quiñones

2021

Rev. bras. eng. agríc. ambient.

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In the Colombian Sugarcane Research Center CENICAÑA, efficient use of water is always performed based on estimating reference evapotranspiration. In this method, class A pans have been used to estimate the reference evapotranspiration, which provides a more precise estimate of this important variable for water resource management. The objective of this study was to evaluate different reference evapotranspiration methods for the region of influence of the climatological station of the CENICAÑA experimental station. The class A pan method traditionally used in CENICAÑA was compared with and the Penman-Monteith FAO 56 standard method. The historical series used was from January 1, 1994, to December 31, 2014. The climatic variables were the maximum, mean, and minimum temperatures, the mean relative air humidity, solar radiation, and wind speed at 10 m. Willmott’s coefficients, the confidence index (c), and the root mean squared error were used in the performance evaluation. In the comparison with the Penman-Monteith FAO 56 method, all methods presented performance below the minimum requirement of (c) = 0.400. When all methods were compared with the method used in CENICAÑA (Class A pan), only the Penman-Monteith FAO 56 method showed performance classified as good (c = 0.689).

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Section: Ementioning

confidence: 82%

Reference evapotranspiration estimation by different methods for the sucroenergy sector of Colombia

Quiñones

2021

Rev. bras. eng. agríc. ambient.

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“…On the other hand, Tagliaferre et al (2010) observed, for Eunápolia -BA, a behavior similar to that observed in this study, where the Hargreaves-Samani method showed a tendency of 23% overestimation of ETo data. Vallory et al (2016) also observed a tendency of overestimation of ETo data for the state of Rio de Janeiro, using the PriestleyTaylor and Hargreaves-Samani methods.…”

Section: Resultsmentioning

confidence: 99%

Performance of different methods to estimate reference evapotranspiration in Cruz Alta - RS

Gollo¹,

Bruning²,

Robaina³

et al. 2018

Científica

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The objective of this work was to evaluate the performance of different methods to estimate reference evapotranspiration (ETo) in the municipality of Cruz Alta -RS, using the Penman-Monteith method as standard. Daily meteorological data were collected from the Automatic Meteorological Station of the National Meteorological Institute (INMET), located in the municipality of Cruz Alta -RS, for a 10-year period. ETo was determined using the methods of Penman-Monteith, Priestley-Taylor, Hargreaves-Samani, Benevides-Lopes and Jensen-Haise, comparing the standard method with the other methods used for three subgroups of data: analysis of the average of 10 years of observations and periods of high and low solar radiation. In order to establish the best methods for estimating ETo, we used: linear regression analysis, root mean square error (RMSE), mean absolute error (MAE), agreement index (d), and performance index (c), with classes established by Camargo and Sentelhas. Among the methods evaluated for the climatic conditions of Cruz Alta -RS, the Priestley-Taylor method is the one that presents the best performance in ETo estimation, followed by the Hargreaves-Samani method, which can be used in daily and annual determinations, and in periods of high solar radiation. Due to the poor performance presented by the Jensen-Haise method, its use is not recommended. Additional keywords: empirical equations; Penman-Monteith; climate variables.Resumo O objetivo deste trabalho foi avaliar o desempenho de diferentes métodos de estimativa da evapotranspiração de referência (ETo) para o município de Cruz Alta -RS, utilizando-se como padrão do método de Penman-Monteith. Os elementos meteorológicos diários foram coletados da Estação Meteorológica Automática do Instituto Nacional de Meteorologia (INMET), localizada no município de Cruz Alta -RS, para um período total de 10 anos. A ETo foi determinada a partir dos métodos de Penman-Monteith, Priestley-Taylor, Hargreaves-Samani, BenevidesLopes e Jensen-Haise, realizando-se comparações entre o método padrão e os demais métodos utilizados para três subgrupos de dados, que foram: análise da média dos 10 anos de observações e períodos de alta e baixa radiação solar. A fim de estabelecer os melhores métodos para a estimativa da ETo, utilizaram-se: análise de regressão linear, raiz do quadrado médio do erro (RQME), erro absoluto médio (EAM), índice de concordância (d) e índice de desempenho (c), com classes estabelecidas por Camargo e Sentelhas. Dentre os métodos avaliados para as condições climáticas de Cruz Alta -RS, o método de Priestley-Taylor é o que apresenta o melhor desempenho na estimativa da ETo, seguido pelo método de Hargreaves-Samani, que pode ser utilizado em determinações anuais diárias e em períodos de alta radiação solar. Devido ao baixo desempenho apresentado pelo método de Jensen-Haise, não é indicada sua utilização.Palavras-chave adicionais: equações empíricas; Penman-Monteith; variáveis climatológicas.

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“…The GHCN product was also in uenced by latitude, in addition to altitude, and longitude. The differences between both products are probably due to the interpolation method and the number and time series size used in the interpolation.Given the importance of ET, di culty in obtaining PET (or ET o ) data, and reliable statistical results (with reasonable -good performance and low errors), PET (or ETo) estimations using GCD constitute a convenient and attractive alternative to solve these data gaps problem(Vallory et al 2016;Monteiro et al 2021). Furthermore, PET estimations using GCD allow to evaluate systematic and non-systematic errors, linking estimate performance with local characteristics.…”

mentioning

confidence: 99%

Monthly potential evapotranspiration estimated using the Thornthwaite method with gridded climate datasets for Rio de Janeiro state, Brazil

Santos

Abreu

et al. 2022

Preprint

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Monthly potential evapotranspiration (PET) using the Thornthwaite (ThW) method fed with gridded climate datasets was evaluated relative to PET by ThW and to reference evapotranspiration (ETo) estimated using the FAO56 Penman-Monteith method (PM-FAO56) with observed data, for Rio de Janeiro state, and neighboring states in southeast Brazil. The PM-FAO56 method used monthly climate series (1961–2010) on sunshine hours, air temperature, relative humidity, and wind speed, from 21 weather stations of the National Institute of Meteorology (INMET), in Rio de Janeiro (RJ), São Paulo (SP), Minas Gerais (MG), and Espírito Santo (ES) to estimate ETo. The estimated PET using the ThW method was based on observed air temperature from INMET stations and also using gridded air temperature datasets (1961–2010) from the Global Historical Climatology Network (GHCN) and the University of Delaware (UDel). The ETP estimates had an agreement (Willmott index) between 0.54 ≤ dw ≤ 0.96 – GHCN and 0.62 ≤ dw ≤ 0.96 - UDel; a precision between 0.44 ≤ r² ≤ 0.88 – GHCN and 0.53 ≤ r² ≤ 0.95 - UDel; and RMSE inferior to 1.39 mm d− 1 – GHCN and 1.13 mm d− 1 - UDel. The PET estimated with the UDel gridded series was better overall performance than using the GHCN product. Differences in altitude, latitude and longitude were the main geographic variables determining the precision and agreement of the PET estimates using GHCN and Udel. The gridded datasets are an alternative for locations without climatic series data or with low-quality non-continuous data series.

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Métodos Empíricos Para Estimativa Da Evapotranspiração De Referência No Estado Do Rio De Janeiro

Cited by 4 publications

References 10 publications

Reference evapotranspiration estimation by different methods for the sucroenergy sector of Colombia

Reference evapotranspiration estimation by different methods for the sucroenergy sector of Colombia

Performance of different methods to estimate reference evapotranspiration in Cruz Alta - RS

Monthly potential evapotranspiration estimated using the Thornthwaite method with gridded climate datasets for Rio de Janeiro state, Brazil

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