云反馈是决定气候敏感度的最大不确定因素，云反馈的强度受到海面温度变化的水平分布和大气环流的重要影响，因此开展云、大气环流和海面温度的相互作用机制的研究对预测气候变化是至关重要的。本项目拟结合理想实验、CMIP5气候模拟和观测资料全面，系统地研究云、大气环流和海面温度的相互作用的机制。另一方面，申请人还将研究云的辐射反馈对中国区域气候的影响机制，将气候反馈领域的最新进展与中国区域气候的预测联系起来。相应结果将有利于减小云反馈的不确定性，为温室气体减排政策的制定提供间接参考信息。

Cloud feedback is the primary contributor to the uncertainty of climate sensitivity. The magnitude of cloud feedback depends on atmospheric circulation and the spatial pattern of sea surface warming, so research on the interaction between cloud, circulation and sea surface temperature are important for future climate predictions. In this study, the investigator plans to study the interaction between cloud, circulation and sea surface temperature systematically, with a combination of idealized experiments, CMIP5 simulations and observations. The investigator also plans to research the effect of cloud feedback processes on Chinese regional climate, which would connect the most recent proceedings in climate feedback researches and the prediction of Chinese regional climate. The results would help reduce the uncertainty of cloud feedback and climate sensitivity, which may provide useful information for policy makers.