Climatologists are investigating to find a feasible relation of climate change with anthropogenic activities by studying worldwide the trends in different climatic parameters. However, for all regions especially in India, the changes in temperature are not equal and have localized intensity which must be quantified locally to manage the natural resources. Aim of the study is to determine trend in annual monthly Temperature time series using nonparametric methods (i.e. the Mann-Kendall and Sen's

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... T tests). Sen's estimator method has been implemented to estimate the magnitudes of trend in a Temperature time series. Before applying the Mann-Kendall test the auto correlation effect is reduced from the Temperature series. In the present study, an investigation has been made to study the spatial and temporal variability in the monthly average air temperatures of three districts namely Haridwar, Dehradun and Tehri Garhwal located in Uttarakhand on monthly, annual and seasonal series from 1901 to 2002. On a seasonal basis, the winters are warmer than summers. The temperature decreased during the less urbanized period of 1901 to 1951 and increased during the more urbanized period of 1961 to 2002. It is also found that the temperature increased at higher rate during the more urbanized period.