Typical Weather data is an essential factor for predicting building performance. As the thermal simulation programmes become more complicated, more accurate and specific weather data is needed. In this paper, various types of typical weather data sets including the Sandia TMYs, NREL TMY2, Pissimanis TMYs, IWEC, ISO TRY and CIBSE TRY were reviewed. Typical Weather data have been generated, using ten different methods(namely maximum, minimum and mean air temperature and relative humidity, maximum and mean wind speed and daily global radiation, daily direct radiation) from hourly meteorological data measured in Seoul, covering the period 1991 to 2010. Results of the comparison show that the most appropriate method for generating weather data depends on the selection process and climatic elements rather than weighting factor. In other words, the weighing factor is not the only element that determines a suitable weather data. Therefore, The weighting factor and calculation process, meteorological element are considered to reflect geographical characteristics of local and applied climatic elements.