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

Autor: Yufei Xin, Haoming Chen, Zhengqiu Zhang, Xinyao Rong, Jingzhi Su, Lijuan Hua, Jian Li
Rok vydání: 2020
Předmět:
Zdroj: Advances in Atmospheric Sciences. 38:285-295
ISSN: 1861-9533
0256-1530
Popis: 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.
Databáze: OpenAIRE