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Temperature Trends in the Perm Area

In this paper, we present an analysis of the temperature trends over the Perm area (Russia). We have analyzed three temperature characteristics (TAVG, TMIN and TMAX) of monthly mean temperature series from six meteorological stations. The analysis has been also done separately for every month of the year. At first, we have used the Spearman's rank correlation coefficient to determine if the series has a monotonic trend. Then a linear regression model has been used to fit the temperature series with a straight line. We have detected that temperature in the Perm area has been increasing especially during June. The results also showed that there are warmer winters there now. The detected trends may be partly caused by the changes in the atmospheric circulation.