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CAS FGOALS-f3-L large-ensemble simulations for the CMIP6 Polar Amplification Model Intercomparison Project
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  • Bian He,
  • Xiaoqi Zhang,
  • Anmin Duan,
  • Qing Bao,
  • Yimin Liu,
  • Wenting Hu,
  • Jinxiao Li,
  • Guo-Xiong Wu
Bian He
Institute of Atmospheric Physics

Corresponding Author:[email protected]

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Xiaoqi Zhang
Institute of Atmospheric Physics
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Anmin Duan
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Qing Bao
Institute of Atmospheric Physics
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Yimin Liu
Institute of Atmospheric Physics
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Wenting Hu
LASG, Institute of Atmospheric Physics Chinese Academy of Sciences
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Jinxiao Li
Institute of Atmospheric Physics
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Guo-Xiong Wu
Chinese Academy of Sciences, Beijin, China
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Abstract

Large-ensemble simulations of the atmosphere-only time-slice experiments for the Polar Amplification Model Intercomparison Project (PAMIP) were carried out by the model group of the Chinese Academy of Sciences (CAS) Flexible Global Ocean-Atmosphere-Land System (FGOALS-f3-L). Eight groups of experiments forced by different combinations of the sea surface temperature (SST) and sea ice concentration (SIC) for pre-industrial, present-day and future conditions were performed and submitted. The time-lag method was used to generate the 100 ensemble members, with each member integrating from 1st April 2000 to 30th June 2001 and the first two months as the spin-up period. The basic model responses of the surface air temperature (SAT) and precipitation were documented. The results indicate that Arctic amplification is mainly caused by Arctic SIC forcing changes. The SAT responses to the Arctic SIC forcing alone show an obvious meridional gradient over high latitudes, which is similar to the results from the combined forcing of SST and SIC. However, the change in global precipitation is dominated by the changes in the global SST rather than SIC, partly because tropical precipitation is mainly driven by local SST changes. The uncertainty of the model responses was also investigated through the analysis of the large-ensemble members. The relative roles of SST and SIC, together with their combined influence on Arctic amplification, are also discussed. All these model datasets will contribute to PAMIP multimodel analysis and improve the understanding of polar amplification.
Jun 2021Published in Advances in Atmospheric Sciences volume 38 issue 6 on pages 1028-1049. 10.1007/s00376-021-0343-4