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The method Penman-Monteith (FAO-56 PM) is recommended as standard for estimation of reference evapotranspiration (ETo). However, this method requires a large number of input data such as solar radiation, air temperature, relative humidity and wind speed, which has limited its use in many locations. Based on this, the objective of this work was to evaluate the estimation of ETo FAO-56 PM using limited weather data in Aracaju, Sergipe State, Brazil. The study was conducted from daily data of maximum and minimum air temperatures, relative humidity, wind speed and sunshine. Were evaluated three scenarios for estimation ETo FAO-56 PM with limited data: absence of solar radiation, relative humidity and wind speed; absence of solar radiation and wind speed and absence of relative humidity and wind speed. The values of ETo estimated by FAO-56 PM with complete data and missing data were compared considered the coefficient of determination (R2), MBE (mean bias error) and RMSE (root mean square error). The best estimates of ETo FAO-56 PM was when solar radiation was available, with missing data of relative humidity (estimated from the minimum temperature) and constant values of wind speed between 1 and 3 m s-1, however only when air temperatures are available is not recommended for estimation ETo FAO PM on local weather conditions.

ESTIMATIVA DA EVAPOTRANSPIRAÇÃO DE REFERÊNCIA POR PENMAN - MONTEITH FAO 56 USANDO DADOS METEOROLÓGICOS LIMITADOS EM ARACAJU, SERGIPE