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本篇論文代寫-氣候變化講了氣候變化正迅速成爲一個決定政府和國際政策的問題。由於天氣和氣候變化對一個國家的社會經濟方面的深刻影響,人們在科學和政治領域討論了氣候和氣候變化問題。本篇論文代寫文章由美國第一論文 Assignment First輔導網整理,供大家參考閱讀。

Climate change is fast becoming an issue that determines government and international policies. Weather and climate change has been discussed in the scientific and political ground because of its deep impact on the socio-economic aspects of a country. Global warming and related economic effects at one end is called a politicized propaganda, and at the scientific level, researchers are mounting proof on why the issues have to be addressed for humanity at large and not just within the subsects of politics. Climate change has become a fundamental problem and predictions of climate change with accurate numerical estimates are required for planning sustainable societies. While much research is done on the prediction, deep seated contentions are raised with respect to the models themselves. The models, the methodology used, and even the numerical estimates that are derived as outputs are questioned on the basis of how they could be erroneous, and errors have indeed been present in these modelling, too. With uncertainty in quantification being an important reason for skepticism in prediction, this research seeks to research the climate change models and associated methodologies themselves. Knowledge of the models and their development structuring over the years would lend much insight into understanding their predictions.

The Coupled Model Inter-comparison Project Phase 5 (CMIP5) activity has provided the means for climate scientists all over the world, to conduct experimentation on continuous climate model and related development (Collier & Uhe, 2012). CMIP is a collaborative effort of climate modelling groups around the world. There are twenty such important groups. The groups agree to promote coordinated climate model experiments in order to develop multimedia contexts of analysis (Taylor et al., 2012). Their work is devoted towards assessing how models differ and how the model differences account for discrepancies and poorly understood feedback in carbon cycles. The differences in models used can often change the feedback acquired, and in a collaborative effect, it would be possible to check these differences. Secondly, the collaboration aims to improve climate predictability. Now at present, although climate predictability based on different models is accurate to a certain extent, it could be said that in terms of the decadal time scales, more research is required. The decadal prediction is a new field in prediction that is seen to make use of initialized climate models in order to predict regional climate over time. The decadal form of predictions was developed purely for the purpose of forecasting and projecting climate change. The 10-30-year time line is called the decadal time line and when analysing climate change with different models using the decadal time line, then it is possible for researchers to study climate change from the context of different conditions such as social, economic, environment implications and much more. Therefore, collaborative conditions that are created by the CMIP also help in understanding these aspects in a time line of 10-30 years. Finally, the collaborative efforts also look into understanding why forced models generate different ranges in responses.