In the present study, ClimGen (weather generator) generated data was compared to the observed weather data of Ballowal, Ludhiana and Bathinda weather stations representing different type of climatic situations in Punjab. Several years of daily data of solar radiation, maximum and minimum temperature, morning and evening relative humidity, rainfall and wind speed were used as input and five years data were used for validation purpose. Evaluation was done on the basis of coefficient of determination (R2), Residual Mean Square Error (RMSE), General Standard Deviation (GSD) and Wilmott’s index (d) of agreement between generated and observed data. The ClimGen generated data for maximum and minimum temperature showed good performance (GSD d” 0.10 and d e” 0.95) and the data generated for morning relative humidity was acceptable (GSD > 0.10 but d” 0.20 and d < 0.95 but e” 0.90) while evening relative humidity and wind speed were poor except for Ludhiana station. However, the generated rainfall data was poor for all the stations and hence, cannot be accepted. Overall, results indicated ClimGen a good performer as a weather generator for certain parameters.