In view of climate change, Himalayan glaciers are losing its mass. In present study we analyzed 7 year long field based data series of surface mass-balance measurements performed between 2011/12 and 2017/18 at Naradu glacier, western Himalaya. The average specific mass balance for the studied period was 0.83 m w.e. with a highest melting of 1.15 m w.e. The analysis of topographic features showed that south and southeast aspect along with the presence of debris cover area and the slope between 18 to 36 degree are the major factors which causes highest melting from a particular zone. For better understanding of SMB variability and its causes, multiple linear regression analyses (MLRA) was performed by taking temperature and precipitation as predictors. The temperature and precipitation records were taken from NASA GIOVANNI website. The MLRA shows that 71% of the variance of observed SMB can be explained by temperature and precipitation. The MLRA shows the importance of summer half-year temperature. This variable alone explains the 64% variance of observed SMB. The seasonal period analysis showed that with two predictor variables most of the SMB variability is described by summer temperature and winter precipitation. All monthly combinations show that SMB variance is best described by June temperature and September precipitation.