An approach to study Seasonal variations and to enumerate the height of sea level acceleration for Global Mean Sea Level and Bay of Bengal using Time Series Analysis

Abstract

According to the recent problem of Global Climate Change, our focus was on Sea Level Rising which is the most threatening phenomenon in our era hence we have predicted the level of rising surface for both Global Mean Sea Level (GMSL) and Bay of Bengal using time series analysis. Since the time series analysis (TSA) has some components, we brought out those components from our data set and merged them again to match with our real data. By doing that, we have constructed our training part and set up a method to predict the results for next years. We have tried to test the prediction results with a known data set as well as the computation was carried out in order to forecast for unknown data. In our work, the prediction has been done with respect to seasonal effects so that result can be accurate with seasonal variation. With extensive data set, other inconsistency has been considered easily. Mathematical enumeration has added a dynamism with this forecasting thoughtlessly. This study can be used to raise up a wariness among people. Besides this, this research can be used as a grounding for further study