Change in polar ice concentration affects the global climate variability in different scales. Many studies have explored the impact of polar sea ice parameters such as extent and concentration on various climatic factors like temperature, rainfall etc. But studies correlating the impact of polar ice effects on Indian climate are very few. The existing works too are statistical models which could not model the dynamics in sea ice extent, due to which their accuracy is limited. This work applies deep learning based analysis at different scales on the impact of polar ice effects over Indian climate at a fine grained level to solve the problems in statistical models. Due to larger area and multiple climatic zones, spatial fine grained analysis over different zones is necessary and it has not been investigated in any of earlier works. This work makes an important contribution of fine grained analysis of polar sea ice extent over Indian climate using deep learning model. Deep learning multivariate LSTM is used as tool for analyzing the impact of polar ice effects. The predictability of model is tested at fine grained level and it is found that model has good predictability of 75%.