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

Xinyao Rong; Jian Li; Haoming Chen; Jingzhi Su; Lijuan Hua; Zhengqiu Zhang; Yufei Xin
Advances in Atmospheric Sciences · Vol. 38, Issue 2 · pp. 285-295 · 2021

Abstract

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.

Bibliographic Information

JournalAdvances in Atmospheric Sciences
PublisherSpringer
Publication Date2021-02-01
Publication Year2021
Volume38
Issue2
Pages285-295
Document TypeJournal Article
Print ISSN0256-1530
eISSN1861-9533
DOI10.1007/s00376-020-0171-y

Access Information

NARA Access Coverage1984-01-01~Current
Journal Homepagehttps://www.springer.com/journal/376
Publisher PageOpen Publisher Page
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