Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method

Abstract

This study aims to investigate variability in precipitation and air temperature data of all provinces in Turkey. The innovative trend pivot analysis method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (°C) data of Turkey in this study. Analyzing the country as a whole using this method is one of the strengths of the study. In the study, 30-year datasets between 1991 and 2020 were analyzed. As a result of the study, trend analysis results of precipitation and air temperature data of 81 provinces in Turkey were obtained. The significance level in trends was determined as 5%. In this study, 41% of the monthly total precipitation data of Turkey showed an increasing trend, 41% showed a decreasing trend, while 18% showed no trend. In the standard deviation of precipitation data, 44% of the data showed an increasing trend, 42% showed a decreasing trend and 14% showed no trend. In addition, it was concluded that there was an increasing trend of 67% in the monthly average air temperature data and an increasing trend of 46% in the standard deviation data. According to these results, it is concluded that monthly average air temperature data have a largely increasing trend.