申请人提出的耦合反馈响应分析方法（CFRAM）已经在国际和国内得到广泛接受和采用，但一般仅限于离线的气候反馈分析使用。本项目提出将CFRAM嵌入到气候模式中，以在线的方式对气候模式模拟的不确定性和偏差进行分析。项目的目标在于为气候模式及其相关物理过程参数化的改进和发展提供一种新的有效方法。通过对气候模式中能量平衡三维特征信息（包括和物理过程相关的非绝热加热、能量输送和数值耗散等）的提取和分析，更全面地理解造成模式偏差的原因，直接为气候模式的发展服务。在此基础上，提出在双赤道辐合带和热带低云偏差改进的参数优化试验中局地和远程物理和动力过程之间联系的理论分析和解释。

The Coupled Feedback-Response Analysis Method (CFRAM) proposed by the author of this proposal has been widely accepted by the international climate research community and applied in analyzing the climate change and variability, though most of them were in a form of off-line diagnositcs. Here we propose to emded the CFRAM in climate models so as to detect the sources of climate model biases in the context of interlinkage of the physical processes, particularly via the 3D structure of energy cycle in the climate system. The proposed research aims to provide an efficient method to improve the physical parameterization in climate models by analyzing the 3-dimensional structure of the total energy balance, including the diabatic heating, energy transport, and numerical diffusion, etc. Based on the embedded method and proposed model-tuning experiments designed for reducing the "double ITCZ " and "tropical low-cloud " biases, the proposed research also seeks a theoretical explanation for the improvement in model performance in the context of the interaction between local and non-local physical and dynamcial processes.