In the context of global climate change,sea level rise is a potentially major risk. In order to prevent the climate disasters, and to deal with extreme weather events,it is necessary to objectively and quantitatively predict the future extreme sea level changes. To this end,based on the theory of Copula function and that the dynamic extreme value analysis,the authers of this paper have made comprehensive consideration of the influence of the mean sea level changes (including the vertical land movement and the baseline) and the changes of the water level of the tide,surge and wave, and used Bayes method to improve the parameter estimation of DREAM. A new method is proposed to predict the future extreme sea level changes,and the proposed method is used to improve the existing problem of the traditional method,and a model is used to simulate the sea level changes in Xiamen area in 35 years.