An efficient time-space numerical solver for global warming

An impact of climate change due to global warming will be one of the most severe environmental issues in the 21st Century. In this paper, an efficient numerical solver for a global climate model is developed and presented as a useful and powerful tool for global warming analysis. The model mainly consists of four parts; i.e., atmosphere and ocean dynamics, atmosphere and ocean physics, land surface and sea ice. Major features of this model, which are different from the existing climate models, are: (1) the atmosphere and ocean are treated as a stratified fluid in the dynamics submodel; and (2) the model is computed in the time-space segment using the time-space method, a highly-efficient numerical method for integrating transient parabolic-like equations.