Understanding the daily weather types of any place location plays an important role in identifying its long-term climate. In this study, we employed the Wos classification method, along with a comprehensive climatology approach, to examine key variables such as minimum, average, and maximum temperatures, as well as cloud cover and daily precipitation. Data spanning from 1985 to 2021 were collected from 39 synoptic stations that had a good distribution in the country and had complete statistics, and weather types were identified using coding techniques. The findings revealed that the predominant temperature types in the country are predominantly hot and very hot, with sub-codes indicating generally low to moderate cloud cover and no precipitation. Moreover, the utilization of Ward's clustering method enabled us to identify three distinct climatic groups. The geographical characteristics of each place, such as location, altitude, latitude, proximity to the sea, and synoptic characteristics based on their influence, have the most important effect on the regional separation of groups in the country. The results of this research can be used to determine the weather calendar of each region during different time periods in many fields of agriculture, tourism, etc.
