Stochastic weather generators are widely used in different fields such as hydrological applications, environmental management and agricultural risk assessments. In this study, a popular stochastic weather generator, LARS-WG, was used in relation to reproduce observed statistical properties, including, means and variances of monthly precipitation, maximum temperature, minimum temperature and solar radiation for Kermanshah synoptic station. Climatic conditions, such as the lengths of wet and dry spells and Frost/heat spells were also used to assess the performance of the model. The results showed, LARS-WG performed well in simulating statistics of daily distribution, mean monthly and seasonal distribution, however in terms of standard deviation. The model showed an average performance.model should be calibrated for each basin separately.