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Abstract
Generalized likelihood uncertainty estimation (GLUE) is a statistical approach which is used for decreasing the uncertainty bounds for the outputs resulted from any model. In this study, GLUE technique is used on the output of a groundwater model which simulates an aquifer in KSA which called Wadi Noaman. The study divided into three stages (calibration, verification and prediction). The model is in a stochastic module and simulates the aquifer using 100 realizations of different values for the input parameters R (Recharge) and H (Hydraulic conductivity). The results illustrate the effect of using different likelihood measures and different shape factor values. Also, the model is used to address the expected head values till the year 2037