Accuracy of Potential Evapotranspiration Models in Different Time Scales

Aparecido, Lucas Eduardo de Oliveira; Meneses, Kamila Cunha de; Torsoni, Guilherme Botega; Moraes, José Reinaldo da Silva Cabral de; Mesquita, Daniel Zimmermann

doi:10.1590/0102-7786351026

Cited by 9 publications

(6 citation statements)

References 37 publications

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“…Similarly, it had the lowest confidence index of 0.19. This is contrary to what was found by Oliveira et al (2020) for the Mato Grosso do Sul region in Brazil with data on a daily scale. This is possibly due to the differences in the characteristics of the study regions.…”

Section: Econtrasting

confidence: 99%

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: Econtrasting

confidence: 99%

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

Quiñones

2021

Rev. bras. eng. agríc. ambient.

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“…These regions also showed higher accuracy, with an average MAPE of 3.92% ± 2.48 for the North and 2.94% ± 1.37 for the Southeast. A MAPE value below 5% is considered low, as described by Aparecido et al (2020); Moreto and Rolim, (2015).…”

Section: Resultsmentioning

confidence: 99%

Estimation of Air Temperature Using Climate Factors in Brazilian Sugarcane Regions

Lorençone

Aparecido

Lorençone

et al. 2022

Rev. bras. meteorol.

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This study aimed to estimate the minimum and maximum monthly air temperatures in the sugarcane regions of Brazil. A 30-year historical series (1988-2018) of maximum (Tmax) and minimum (Tmin) air temperatures from the NASA/POWER platform was used for 62 locations that produce sugarcane in Brazil. Multiple linear regression was used for data modeling, in which the dependent variables were Tmin and Tmax and the independent variables were latitude, longitude, and altitude. The comparison between estimation models and the real data was performed using the statistical indices MAPE (accuracy) and adjusted coefficient of determination (R2adj) (precision). The lowest MAPE values of the models for estimating the minimum air temperature occurred mainly in the North during February, March, and January. Also, the most accurate models for estimating the maximum air temperature occurred in the Southeast region during January, February, and March. The MAPE and R2adj values showed accuracy and precision in the models for estimating both the maximum and minimum temperatures, indicating that the equations can be used to estimate temperatures in sugarcane areas. The Tmin estimation model for the Southeast region in July shows the best performance, with a MAPE value of 1.28 and an R2adj of 0.94. The Tmax model of the North region for September presents higher precision and accuracy, with values of 1.28 and 0.96, respectively.

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“…Quando se trata da mesma espécie e, em especial quando consideramos a cana-de-açúcar, as diferenças de demanda hídrica entre variedades são inferiores àquelas que dizem respeito às fases fenológicas. Para cana-de-açúcar, dividimos essas fases fenológicas da seguinte forma: (i) germinação (ou brotação, para cana soca); (ii) perfilhamento e desenvolvimento inicial; (iii) desenvolvimento pleno, e (iv) maturação (FRANCISCO et al, 2016;APARECIDO et al, 2020).…”

Section: Demanda Hídrica E De Irrigaçãounclassified

Agricultura irrigada no Brasil: inovação, empreendedorismo e sistemas de produção

2022

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A evolução da tecnologia da irrigação associada aos aspectos agronômicos permitiu um avanço no entendimento do sistema de produção e, com isso, o desenvolvimento da agricultura irrigada, onde a produção vegetal está associada a um novo paradigma, envolvendo a escolha de uma rotação de cultura adequada do ponto de vista agronômico, comercial e da sustentabilidade. O sistema de produção passou a exigir diferentes estratégias caracterizando que a agricultura irrigada é distinta da agricultura de sequeiro mais aplicação de água. Questiona-se não só o que plantar, mas também qual variedade cultivada seria mais adequada a disponibilidade permanente da água, possibilidade de organizar o calendário de cultivos com vista a um melhor atendimento do mercado, novos critérios de planejamento da fertilização da cultura e dos tratamentos fitossanitários, com o uso da quimigação como uma das suas principais tecnologias que é a fertirrigação. Para isso, foi fundamental o incentivo e a apropriação das inovações que cada dia permitem uma melhor condução e acompanhamento do sistema produtivo. Os temas inovação, empreendedorismo e sistemas de produção sem vírgula são tratados dentro das diferentes abordagens da agricultura irrigada no Brasil, constituindo uma importante contribuição para o desenvolvimento sustentável da agricultura irrigada brasileira e mundial.

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Accuracy of Potential Evapotranspiration Models in Different Time Scales

Cited by 9 publications

References 37 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

Estimation of Air Temperature Using Climate Factors in Brazilian Sugarcane Regions

Agricultura irrigada no Brasil: inovação, empreendedorismo e sistemas de produção

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