其次，研究工作通过其比较也告诉读者，不同的气候因素纳入模型研究如何导致其本身的错误和偏见问题。例如，一些观察到的研究工作强调了在热带海洋盆地研究时，低云层可能被低估，或者另外一些研究可能没有解释云层的缺乏等(Durrant & Greenslade, 2012)。另一方面，通过合作研究，可以得到更好的云参数化。在MOC振幅的表示上，海冰的变化越来越逼真。
As presented earlier, a clear understanding of the models, their comparison and more would make climatic prediction more accurate than what it is today. In current times, the surface mean temperature, the seal level pressure, the related biases in models and more challenges a thorough understanding of climatic prediction. There are still major errors in the understanding of seasonal precipitation, and in cloud radiative forecasts. Scientists are looking into ways to reduce such errors and to that effect have collaborated to form the CMIP which studies coupled models and assesses them to understand their comparative working, similarities, errors and areas of development. This research presents a clear understanding of the comparisons of the different models (eight models).
Secondly, the research work through its comparisons also informs the reader of how different climatic elements incorporated into the model study leads itself to errors and bias issues. For instance, some research works observed highlight how low clouds might be underestimated when studied over tropical ocean basins or alternatively some studies might not account for lack of cloudiness etc (Durrant & Greenslade, 2012). On the other hand, with a collaborative study, better cloud parametrizations are present. Representation of MOC amplitude, the sea ice and more become more realistic.
Finally, even with research being devoted to understanding model comparison, more extraneous data are added daily. Big data phenomenon has driven much surplus data than never before in predicting climate changes. Where climate changes were studied in isolation, in current times, many different elements are included in conjunctions. For instance, indirect effects of sulphate aerosols might be studied when using these models. These forms of research works over time means the comparative analysis of the models must also be updated over time (Meehl et al., 2009). Further analysis and investigations are needed for focusing on the developments and hence the comparison with other CMIP5 models becomes crucial.
1.4. Research Structure
A standard dissertation structure was followed here. The next important chapter is the literature review. The literature review presents the background, configuration details, features and research view on the eight different models. While the intention of the literature review is to only discuss each of the models and some comparative details are also included. The main comparison is carried out as a separate chapter in which each of the model is compared based on similarities and differences and also based on the four parameters of 1) computation grid. 2) time step. 3) governing equations (wind component), 4) coupling (Atmosphere-Ocean).