In this study, to investigate the tourism climatology in Tabriz used two methods to identify weather types and TCI Index. Data base have been created with using daily data for 22 climatic variables including: dry and wet temperature, relative humidity, daily mean maximum and minimum temperature, daily rain, speed and direction wind in during 1981-2011 in Tabriz(For 30 years). Considering the goal of the research, which was weather typing recognition, matrix was prepared whit "P" decoration. "P" is decoration of data base matrix in which the rows are time and columns are the indicators of climatic variable. A cluster analysis which "Ward linkage" and "Euclidean distance" carried on standardized data and six synoptic types were identified: frost, fog and calm moderate windy rainfall-cold warm and dry and hyper hot and dry types. The results in research showed that the transition from one season to the other weather types will rise and mortality. On the other hand, during the last decades, significant changes in the weather types have been observed annually. The results show that the Tabriz tourism climate index, the best time for tourists to thermal relaxation time of maximum activity is the late spring and throughout the summer and the worst time is in the January and February.