Accurate estimation of reference evapotranspiration (ET 0 ) is an essential requirement for water resource management and scheduling agricultural activities. Several empirical methods have been employed in estimating ET 0 across diverse climate regimes over the past decades. The Python implementation for estimation of daily and monthly ET 0 values of representative stations of ten agro-climatic zones of Karnataka from 1979 through 2014 using the standard FAO Penman-Monteith method was carried out. The assessment of temporal and spatial variability of monthly ET 0 values across the various agroclimatic zones done by the various statistical measures revealed that the variation in spatial ET 0 values was higher than temporal indicating major differentiation of ET 0 values was with respect to the stations rather than years under study. The non-parametric Mann-Kendall test conducted at 1% signi cance level on the annual ET 0 values revealed that statistically signi cant increasing trend was observed for all the ten stations during the study period. The trend test conducted on the climate variables like mean air temperature, wind speed, relative humidity and solar radiation signify their in uence the annual ET 0 values. The magnitude changes in the trends detected by the Theil Sen's slope indicated that increasing values of mean temperature, solar radiation and decreasing values of relative humidity predominantly contributed to the annual upward trend in ET 0 values for the 10 stations. A trivial impact of wind speed on annual ET 0 values was observed for the stations. Kalburgi and Udupi stations exhibited positive ET 0 trend with the highest and lowest annual values among ten stations.