Comparison of Various Downscaling Methods for Estimation of Precipitation in Ganges Basin

For cleansing and maintenance of Ganges, analysis of river volume flow is required which in turn calls for accurate estimation of precipitation data in the basin. Precipitation data is available on International Panel for Climate Change (IPCC) website with resolution of 0.5^ox 0.5^o. In order to arrive at the precipitation at a particular location, suitable downscaling of the IPCC data has to be performed. In this paper, four different methods namely, K-Nearest Neighbor (KNN) algorithm, Inverse Square Root Distance model, Bi Linear Interpolation method and Inverse Squared Distance method are applied and with comparison of the observations over the same period from Delhi and Agra, it is inferred that KNN is the more suitable option among the four.