A Mathematical Model Based on Salinity of Ocean for Climate Change

As we are aware that sea ice production, heat uptake, ocean circulation patterns and density are efficiently impacted by ocean salinity, therefore it plays a vital role in the earth climate system. Thus, in order to prevent agriculture, forest and public safety, the accurate and more reliable estimation of climate becomes particularly important. Hence, the ocean salinity must be included in the ocean climate change models. This paper proposes an integer order climate change model for the prediction of climate by incorporating the salinity feature. This strengthens the model dependability and yields more precise findings on the relationship between depth and time in the setting of climate change. Also, the complex and constantly shifting features of marine ecosystems are largely determined by the interaction between salinity and temperature. The numerical solution of the model is obtained by employing a modified Laplace Adomian decomposition method. The estimated results are validated by the comprehensive comparisons.

I. Introduction

Climate change is a pressing global issue that carries significant consequences for both human society and the environment [1]. The scientific evaluations carried out by the Intergovernmental Panel on Climate Change (IPCC) consistently highlight the increasing consequences of elevated global temperatures and sea levels resulting from human activities, specifically the release of greenhouse gases like carbon dioxide [2]. The IPCC is the premier worldwide organisation for evaluating climate change and their research offer a thorough summary of the most recent findings in science about the origins, effects, and dangers of climate change [3].