Statistical Downscaling Based On Multiple Linear Regression Analysis for Temperature and Precipitation inLidder River Basin of India

In the present study multiple linear regression technique was used to carry out the downscaling of GCM predictors.The large scale GCM predictors were obtained from the Global Climate Model namely CGCM3 (Canadian Global Climate model) and were related to locally observed precipitation and temperature at Pahalgam meteorological station which is located in the Lidder River Basin.Appropriate predictandpredictor relationships were found out for the region by carrying out regression analysis. So the future projections of climate were made for the basin upto 21st century using CGCM3 model. At the end of the 21st century the mean annual temperature of theLidder river basin is predicted to increase by 1.91°C, whereas the average annual precipitation is predicted to decrease substantially by 27.56% using CGCM3 model.