Uttarakhand, a Himalayan state of India, may experience an increase in temperature of
1.4°C to 5.8°C by 2100 due to global warming. The rise in temperature may melt the glaciers
of the state and may have some significant impact on the rainfall. In this study, we have
quantified the changes in the rainfall of the state. Also, an attempt has been made to evaluate
the impact of climate change on rainfall. The future rainfall can be estimated by using a global
circulation model (GCM). However, due to the very coarse spatial resolution of the different
GCM, we cannot use them directly. For matching this spatial inequality between the GCM
output and historical precipitation data, we used the statistical downscaling technique. In the
present study, we have examined the suitability of the artificial neural network with principal
component analysis for downscaling the rainfall for different hilly districts of the state.Etc...