The aim of this study is to detect and analyze the trends of monthly seasonal and annualrntemperature, precipitation and stream flow in the upper Awash River Basin. A number ofrnstatistical tests exist to assess the significance of trends in time series. One of the commonly usedrnnon-parametric trend tests is Mann-Kendall test. The null hypothesis in the Mann-Kendall test isrnthat the data are independent and randomly ordered. In this study, mean monthly, seasonally, andrnannually temperature, precipitation, and streamflow have analyzed to determine the variability inrnmagnitude over the period1986-2017. Trend in mean monthly, seasonally, and annuallyrntemperature, precipitation and streamflow trends are analyzed using Mann-Kendall test and senâ€™srnslop estimation for the data period 1986-2017. In this paper, therefore, an attempt has been madernto identify the trends of temperature, precipitation and streamflow on different climatic andrnhydrological stations in the Upper Awash River Basin. The study has analyzed monthly,rnseasonally, and annually precipitation, maximum and minimum temperature, and streamflowrntrends over the upper Awash River Basin. The mean maximum and minimum temperature forrnmonthly, seasonally, and annually has shown sharp increasing trends especially minimumrntemperature for most of the stations. Analysis of monthly, seasonally and annually trend inrnprecipitation shows negative trends for months, seasons and annually of most stations. However,rnsome stations show forward trend at the significant level alpha =0.05. The trends of thernstreamflow also show significant decreasing trend for the selected hydrological stations.