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| Gurski,Bruno César; Jerszurki,Daniela; Souza,Jorge Luiz Moretti de. |
| Abstract: The objective of this work was to define the best alternative methods for estimating the reference evapotranspiration (ETo) in the main climatic types (Cfa and Cfb) of the state of Paraná, Brazil. The methods tested were Budyko, Camargo, Hargreaves-Samani, Linacre, and Thornthwaite, which were compared to the ETo calculated with the Penman-Monteith ASCE (EToPM) method, between 1986 and 2015, in eight meteorological stations. The performance of the alternative methods was obtained from the coefficient of determination (R2), index “d” of agreement, index “c” of performance, and root mean square error (RMSE). The Hargreaves-Samani method has a better performance in estimating the ETo for the main climatic types in the state of Paraná. The Camargo... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Climate variability; Irrigation management; Missing climate data; Penman Monteith; Simplified models; Water balance. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000901003 |
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| Ferreira,Lucas Borges; Cunha,Fernando França da; Sediyama,Gilberto Chohaku; Campos,Flavio Bastos. |
| Abstract: The objective of this work was to develop a software (HS Cal) to calibrate the Hargreaves-Samani equation for specific periods of the year, in global, seasonal, and monthly time scales, as well as to compare the performance of calibrated and non-calibrated equations. The software was developed in order to use raw data provided by Banco de Dados Meteorológicos para Ensino e Pesquisa (BDMEP). All calibrations outperformed the original Hargreaves-Samani equation, especially with the use of seasonal and monthly calibrations. The HS Cal software can easily calibrate the Hargreaves-Samani equation, allowing the identification of the best form of this equation for a given site. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agrometeorology; Irrigation; Local calibration; Minimum data; Reference evapotranspiration; Simplified models. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000100902 |
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