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
