Even though climate change simulation shows higher temperature and precipitation rate shift, it does not provide enough information to the definition of adaptation measures to climate change at local scale. This paper intends to show how climate change local scenarios could be generated by time series trend analysis of climatic factors. Mann-Kendall test was used to determine trends in time series of two climatic factors and spectrum singular analysis to generate future scenario of the analyzed factors. The outputs showed, in both localities (El Espinal, Tolima, y Mosquera, Cundinamarca) the pasture pasto para, Brachiaria mutica, and kikuyo, Pennisetum clandestinum, respectible, tends to require more water due to higher evapotranspiration rate, although, soils texture determinates drastic changes between the two generated climatic change scenario, irrigation requirement related.