the influence of regional factors is so crucial on tourism planning. And it has dramatic effect on tourism satisfaction. In this regard determine index is so necessary for determine tourism comfort. Among indexes which are studying tourism climate comfort, can be noted the Physiological Equivalent Temperature (PET), Predicted Mean Vote (PMV), cumulative stress index (CS) and tourism climate index(TCI). Among the previous indexes, The Miskovski tourism climate index has high value and importance. Tourism climate index include seven elements: are average of daily maximum temperature per month by C, average of minimum relative humidity by percent, The average of daily temperature by C, average of daily relative humidity per month by percent, average of monthly rainfall (R) per month by mm, average of monthly wind speed (W) by Kilometer/ hours per month, average of monthly hours of sunshine (S). The aim of doing this research is studying climate situation quantitative of Charmahalo Bakhtiari province of comfort and bioclimai dimension and determine the province tourism calendar is based on tourism climate index. To determine tourism climate index in Charmahalo Bakhtiari province, at first the data has been collected the climate homogenous data of an statistical period of 15 years for 8 Synipetic and Clemeto station and after analysis and processing them in Excel and also preparation of data base, tourism climate index has been calculated for regional stations according to municipal each month of year and by using geographical information system technique has been prepared tourism climate index plan based on height map (DEM) for all month of year. Then the existing maps were analyzes and were specified that the month January, February, March, December and November do not have an appropriate climate conditions for tourism in this city. But April has the highest diversity and regional classes, it is observable in these months five classes from critical up to perfect in all over the city. Also on July, August and October was observed three classes: very good, perfect and ideal. The best climate comfort conditions observed for this city in June and September that two perfect and ideal classes covered all over the city. Finally have been prepared a table based on preparation maps to determine best tourism climate comfort conditions 30 tourism gravity in this city.