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The low availability of climatological data makes the use of the equation of Hargreaves and Samani (1985) - HS an alternative in the estimation of ETo values, making possible an increase in the quality of water management, especially in irrigated perimeters such as Jacare-Curituba, located in the Sergipe. Despite the simplicity, some authors recommend adjusting the parameters of the HS equation to reduce the estimation errors. Thus, the objective of this work was to adjust the parameters of the HS equation for its use in the Jacare-Curituba-SE irrigated perimeter. The project was done at the Federal University of Alagoas, in partnership with the Federal University of Sergipe. A series of data from 2006 to 2013 was used and the treatments were based on the adjustment of one variable (HS-1), two variables (HS-2), and three (HS-3). For the adjustment of the variable, the methodology described by Wraith and Or (1998) was adopted, in which, through the solver tool, the analyzed variables were assigned values until the estimation error of the ETo data estimated by the HS, in relation to the model Standard Penman-Monteith (PM), was the smallest possible. The quality of the adjustments was analyzed by statistical coefficients. The results obtained showed a reduction in the estimation errors and an increase in the calibration quality evaluation indices. The adjustment with the highest number of adjusted variables provided better results, and their variables were adjusted: "a" 0.0039, "b" 0.6397 and "c" -6.579.

AJUSTE DOS PARÂMETROS DA EQUAÇÃO HARGREAVES-SAMANI EM ESCALA DIÁRIA PARA O PERÍMETRO IRRIGADO JACARÉ-CURITUBA, CANINDÉ-SE