The Prediction Model on The Height of Sea-Level

Consider the effects on land from the melting of the north polar ice cap due to the predicted increase in global temperatures. Specifically, the effects on the coast of Florida every ten years for the next 50 years due to the melting, The most important two indexes used to predict are global average temperature and sea level height. It is difficult to precisely describe the changing law of the sea level height switching with the average temperature. However, based on the Grey System Theory and Curve Simulation Concept to predict respectively, we construct a combination model which can improve the predicted precision, via searching for the features of the data from different scopes. In this paper, we apply this model to predict the sea level height of three metropolitans on the coast of Florida every ten years for the next 50 years due to the melting.