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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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| Ferreira,Lucas Borges; Cunha,Fernando França da; Duarte,Anunciene Barbosa; Sediyama,Gilberto Chohaku; Cecon,Paulo Roberto. |
| ABSTRACT The estimation of the reference evapotranspiration is an important factor for hydrological studies, design and management of irrigation systems, among others. The Penman Monteith equation presents high precision and accuracy in the estimation of this variable. However, its use becomes limited due to the large number of required meteorological data. In this context, the Hargreaves-Samani equation could be used as alternative, although, for a better performance a local calibration is required. Thus, the aim was to compare the calibration process of the Hargreaves-Samani equation by linear regression, by adjustment of the coefficients (A and B) and exponent (C) of the equation and by combinations of the two previous alternatives. Daily data from 6... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Evapotranspiration; Irrigation; Temperature; Agrometeorology. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000100104 |
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