Performance Analysis of Machine Learning Techniques for Predicting Sea Level Rise

Climate science is a study of the earth's climate system, it was originated in the year nineteenth century, the purpose of climate science is to understand the weather patterns, ocean currents and the change climatic shifts. The field of climate changes it involves the contributions from a diverse range of professionals, including scientists, historians and sociologists. the efforts of the human to understand the natural forces which control the climate. In the recent research it was highlighted the impact of human activities like emission of gases etc. The ocean’s surface is increased by the influence of melting glaciers and ice sheets, thermal expansion of sea water which in results are changing the global temperature and increasing in sea level which will be an increase in flood and erosion and mixture of salt water into fresh water resources. It is a multidisciplinary, highly international field in identifying the causes and potentially catastrophic consequences. by the early of nineties, the focus on anthropogenic climate change began to grow. Machine learning has been broadly adopted as the major tool for technological process. The ML, tools can be applied also for various climate change for monitoring natural forces. with the help of ML, we can identify the exact accuracy of any natural forces effecting earth's climate. It has an effective in climate model outputs and can have better quality in climate projections. The purpose of ML in climate change is to improve the understanding the climate change, prediction of climate through advance data driven techniques. By using ML into climate science, it helps to improve the accuracy and efficiency of climate models by detecting the climate changes and help in societal resilience. ML helps in reducing the uncertainties and helps to enhance the resolution of climate models. The outcomes of this paper state the climate change and attempts to describe the issues like Environmental, social, and economic viability. The impacts of climate change must be of the utmost importance, and hence, this global threat requires global commitment to address its dreadful implications to ensure global sustenance.