The aim of the study was to evaluate evapotranspiration (ET) estimation models for the municipality of Macapá, AP. The models studied were Hargreaves-Samani (HS), Turc, Camargo (CM), Jensen-Haise (JH) and Solar Radiation (RS). The ET estimated by the models were compared with those obtained by the standard Penman-Monteith method. Statistical tests of Willmot's Concordance index (d), Correlation Coefficient (r), Performance coefficient (c), Mean Absolute Error (EAM), Mean Square Error and Residual Mass Coefficient (CMR) were performed. With the results of "c" only HS, in August (c = 0.71; "good") and December (c = 0.73; "good") presented a performance considered good. JH had the worst result, between 0.05 and 0.22, considered terrible. In relation to “d”, HS also had a better result, with 0.79 and 0.83 in August and December. The worst was JH, with a minimum value of 0.09 for May. For CMR, CM, JH and RS overestimated ET. TC, on the other hand, presented both underestimation and overestimation. HS overestimated from January to July and underestimated in the other months. For EAM, the models tended to overestimate ET. For MSE, HS presented the lowest values. JH was the one with the worst results, above 4. And the coefficient of determination showed a small dispersion of data, with R2 above 0.90 for HS, TC, JH and RS. Based on what was exposed, HS was the method that presented the best responses, followed by CT and RS. And JH was the one with the highest overestimation rate.
