CAS FGOALS-f3-L Large-ensemble Simulations for the CMIP6 Polar Amplification Model Intercomparison Project

被引:0
|
作者
Bian HE [1 ,2 ]
Xiaoqi ZHANG [3 ,1 ]
Anmin DUAN [1 ,2 ]
Qing BAO [1 ]
Yimin LIU [1 ,2 ]
Wenting HU [1 ]
Jinxiao LI [1 ]
Guoxiong WU [1 ,2 ]
机构
[1] State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG),Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences
[2] University of Chinese Academy of Sciences
[3] School of Atmospheric Sciences, Nanjing University of Information Science and Technology
基金
中国国家自然科学基金;
关键词
polar amplification; PAMIP; large-ensemble simulation; sea ice; FGOALS-f3-L; CMIP6;
D O I
暂无
中图分类号
P461.2 [];
学科分类号
0706 ; 070601 ;
摘要
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 published. The time-lag method was used to generate the 100 ensemble members,with each member integrating from 1 April 2000 to 30 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 decrease alone show an obvious increase 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 of these model datasets will contribute to PAMIP multi-model analysis and improve the understanding of polar amplification.
引用
收藏
页码:1028 / 1049
页数:22
相关论文
共 48 条
  • [31] CAS-LSM Datasets for the CMIP6 Land Surface Snow and Soil Moisture Model Intercomparison Project
    Jia, Binghao
    Wang, Longhuan
    Wang, Yan
    Li, Ruichao
    Luo, Xin
    Xie, Jinbo
    Xie, Zhenghui
    Chen, Si
    Qin, Peihua
    Li, Lijuan
    Chen, Kangjun
    ADVANCES IN ATMOSPHERIC SCIENCES, 2021, 38 (05) : 862 - 874
  • [32] CAS-LSM Datasets for the CMIP6 Land Surface Snow and Soil Moisture Model Intercomparison Project
    Binghao JIA
    Longhuan WANG
    Yan WANG
    Ruichao LI
    Xin LUO
    Jinbo XIE
    Zhenghui XIE
    Si CHEN
    Peihua QIN
    Lijuan LI
    Kangjun CHEN
    Advances in Atmospheric Sciences, 2021, 38 (05) : 862 - 874
  • [33] CAS-LSM Datasets for the CMIP6 Land Surface Snow and Soil Moisture Model Intercomparison Project
    Binghao Jia
    Longhuan Wang
    Yan Wang
    Ruichao Li
    Xin Luo
    Jinbo Xie
    Zhenghui Xie
    Si Chen
    Peihua Qin
    Lijuan Li
    Kangjun Chen
    Advances in Atmospheric Sciences, 2021, 38 : 862 - 874
  • [34] CAS-ESM2.0 Model Datasets for the CMIP6 Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP)
    Jin, Jiangbo
    Zhang, He
    Dong, Xiao
    Liu, Hailong
    Zhang, Minghua
    Gao, Xin
    He, Juanxiong
    Chai, Zhaoyang
    Zeng, Qingcun
    Zhou, Guangqing
    Lin, Zhaohui
    Yu, Yi
    Lin, Pengfei
    Lian, Ruxu
    Yu, Yongqiang
    Song, Mirong
    Zhang, Dongling
    ADVANCES IN ATMOSPHERIC SCIENCES, 2021, 38 (02) : 296 - 306
  • [35] CAS-ESM2.0 Model Datasets for the CMIP6 Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP)
    Jiangbo Jin
    He Zhang
    Xiao Dong
    Hailong Liu
    Minghua Zhang
    Xin Gao
    Juanxiong He
    Zhaoyang Chai
    Qingcun Zeng
    Guangqing Zhou
    Zhaohui Lin
    Yi Yu
    Pengfei Lin
    Ruxu Lian
    Yongqiang Yu
    Mirong Song
    Dongling Zhang
    Advances in Atmospheric Sciences, 2021, 38 : 296 - 306
  • [36] Representation of Southern Ocean Properties across Coupled Model Intercomparison Project Generations: CMIP3 to CMIP6
    Beadling, R. L.
    Russell, J. L.
    Stouffer, R. J.
    Mazloff, M.
    Talley, L. D.
    Goodman, P. J.
    Sallee, J. B.
    Hewitt, H. T.
    Hyder, P.
    Pandde, Amarjiit
    JOURNAL OF CLIMATE, 2020, 33 (15) : 6555 - 6581
  • [37] CAS-ESM2.0 Model Datasets for the CMIP6 Flux-Anomaly-Forced Model Intercomparison Project(FAFMIP)
    Jiangbo JIN
    He ZHANG
    Xiao DONG
    Hailong LIU
    Minghua ZHANG
    Xin GAO
    Juanxiong HE
    Zhaoyang CHAI
    Qingcun ZENG
    Guangqing ZHOU
    Zhaohui LIN
    Yi YU
    Pengfei LIN
    Ruxu LIAN
    Yongqiang YU
    Mirong SONG
    Dongling ZHANG
    Advances in Atmospheric Sciences, 2021, 38 (02) : 296 - 306
  • [38] The HadGEM3-GC3.1 Contribution to the CMIP6 Detection and Attribution Model Intercomparison Project
    Jones, Gareth S.
    Andrews, Martin B.
    Andrews, Timothy
    Blockley, Ed
    Ciavarella, Andrew
    Christidis, Nikos
    Cotterill, Daniel F.
    Lott, Fraser C.
    Ridley, Jeff
    Stott, Peter A.
    JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2024, 16 (08)
  • [39] CAS-ESM2.0 Model Datasets for the CMIP6 Ocean Model Intercomparison Project Phase 1 (OMIP1)
    Dong, Xiao
    Jin, Jiangbo
    Liu, Hailong
    Zhang, He
    Zhang, Minghua
    Lin, Pengfei
    Zeng, Qingcun
    Zhou, Guangqing
    Yu, Yongqiang
    Song, Mirong
    Lin, Zhaohui
    Lian, Ruxu
    Gao, Xin
    He, Juanxiong
    Zhang, Dongling
    Chen, Kangjun
    ADVANCES IN ATMOSPHERIC SCIENCES, 2021, 38 (02) : 307 - 316
  • [40] CAS-ESM2.0 Model Datasets for the CMIP6 Ocean Model Intercomparison Project Phase 1(OMIP1)
    Xiao DONG
    Jiangbo JIN
    Hailong LIU
    He ZHANG
    Minghua ZHANG
    Pengfei LIN
    Qingcun ZENG
    Guangqing ZHOU
    Yongqiang YU
    Mirong SONG
    Zhaohui LIN
    Ruxu LIAN
    Xin GAO
    Juanxiong HE
    Dongling ZHANG
    Kangjun CHEN
    Advances in Atmospheric Sciences, 2021, 38 (02) : 307 - 316