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This paper describes the historical simulations produced by the Chinese Academy of Meteorological Sciences (CAMS) climate system model (CAMS-CSM), which are contributing to phase 6 of the Coupled Model Intercomparison Project (CMIP6). The model description, experiment design and model outputs are presented. Three members’ historical experiments are conducted by CAMS-CSM, with two members starting from different initial conditions, and one excluding the stratospheric aerosol to identify the effect of volcanic eruptions. The outputs of the historical experiments are also validated using observational data. It is found that the model can reproduce the climatological mean states and seasonal cycle of the major climate system quantities, including the surface air temperature, precipitation, and the equatorial thermocline. The long-term trend of air temperature and precipitation is also reasonably captured by CAMS-CSM. There are still some biases in the model that need further improvement. This paper can help the users to better understand the performance and the datasets of CAMS-CSM. 本文介绍了中国气象科学研究院(CAMS)气候系统模式(CAMS-CSM)参加第六次耦合模式比较计划(CMIP6)所开展的历史气候模拟试验,描述了模式配置、试验设计和模式输出结果。CAMS-CSM开展了3个集合样本的历史气候模拟试验,其中2个样本从不同的初始条件开始积分,而另一个样本不包括平流层气溶胶强迫,可用于研究火山喷发对历史气候模拟的影响。利用观测数据集,我们对历史气候模拟试验进行了评估,结果表明,CAMS-CSM模式可以成功模拟气候系统主要变量的气候平均状态和季节变化,包括地表气温、降水和赤道温跃层,CAMS-CSM同时合理再现了气温和降水的长期趋势,但CAMS-CSM仍然存在一些偏差(如热带偏差、海冰密集度等)需要进一步改进。本文为CMIP6数据用户提供CAMS-CSM模式性能及其数据集的参考。

The CMIP6 Historical Simulation Datasets Produced by the Climate System Model CAMS-CSM