Global warming has affected and continuously changed the hydrometeorological variables such as Rainfall, temperature, and humidity. The present research has focused on the long-term trend of spatio-temporal pattern of rainfall using Mann-Kendall (MK) and innovative trend analysis (ITA), which is the most preferable task for climate change monitoring caused by global warming. The comparative analysis has been performed for eleven meteorological stations of Tumakuru district, India during the year 1952-2019, which reveals the sensitivity of ITA to hidden trends than the classical approach and its reliability towards the mitigation of water-related issues, meteorological drought, and flood management.