It is well known that the mean temperature of the Earth’s surface has increased about 0.6 °C since 1860. Research has also revealed that due to the different thermal structure of any region as well as the differences in the trend of minimum temperature (T. min) and maximum temperature (T. max), the nature of climate change in any region of the world has unique characteristics. Therefore, it is necessary to study the climate change of any region through detecting trends in the minimum, mean, and maximum temperatures. Thus, two statistical methods of trends detection including parametric linear regression and non-parametric Mann-Kendall tests were used to reveal any possible trends in minimum, mean, and maximum trends in temperature of the Kurdistan Province, Iran through 8 selected synoptic stations. The results showed that minimum temperature has experienced less changes compared to mean and maximum temperatures in the Kurdistan province. In general, the temperature of the eastern part of the province has significantly increased, while that of the western parts has not changed significantly. This indicates that the climate change has occurred in some parts of the Kurdistan province. This phenomenon can influence natural ecosystems, water resources, and agricultural production of the province; therefore, its impacts must be evaluated in future research.
