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The CMIP6 historical simulations datasets produced by the climate system model CAMS-CSM

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This work was supported by the National Key Research and Development Program of China (No. 2019YFC1510001), the National Natural Science Foundation of China (No. 91637210), the Basic Research Fund of CAMS (No. 2018Z007) and the Jiangsu Collaborative Innovation Center for Climate Change.

  • This paper describes the historical simulations produced by the Chinese Academy of Meteorological Sciences (CAMS) climate system model (CAMS-CSM), which are contributing for the sixth phase 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 stratosphere aerosol to identify the effect of volcano 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 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 needs further improvement. This paper can help the users to better understand the performance and the datasets of the CAMS-CSM model.
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Manuscript History

Manuscript received: 15 June 2020
Manuscript revised: 24 September 2020
Manuscript accepted: 15 October 2020
通讯作者: 陈斌, bchen63@163.com
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The CMIP6 historical simulations datasets produced by the climate system model CAMS-CSM

Abstract: This paper describes the historical simulations produced by the Chinese Academy of Meteorological Sciences (CAMS) climate system model (CAMS-CSM), which are contributing for the sixth phase 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 stratosphere aerosol to identify the effect of volcano 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 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 needs further improvement. This paper can help the users to better understand the performance and the datasets of the CAMS-CSM model.

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