FUTURE PROJECTIONS OF PRECIPITATION FROM CMIP5 MODELSIN THE WESTERN GHATS REGION, INDIA - A CASE STUDYShilpa A. Veerabhadrannavar and B. Venkatesh
The analysis of meteorological variables, particularly in countries where rainfall dependent agriculture ispredominant, is vital to assess climate-induced changes and suggest feasible adaptation strategies. To thatend, statistical analysis has been employed to inspect the changes in rainfall of Kokkarne catchment belongingto Seetha River basin using CORDEX (Coordinated Regional Downscaling Experiment) data for SouthAsia from 2021 to 2050. Rainfall data have been analyzed using the coefficientof variation, and standarddeviation. The outcome of the study revealed intra-annual and inter-annual variability of rainfall. Nearly87 % of annual rainfall is contributed by monsoon season only with standard deviation of 424.4mm andCV of 12%.