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首页|期刊导航|气候变化研究进展(英文版)|Inferring future warming in the Arctic from the observed global warming trend and CMIP6 simulations

Inferring future warming in the Arctic from the observed global warming trend and CMIP6 simulations

HU Xiao-Ming MA Jie-Ru YING Jun CAI Ming KONG Yun-Qi

气候变化研究进展(英文版)2021,Vol.12Issue(4):499-507,9.
气候变化研究进展(英文版)2021,Vol.12Issue(4):499-507,9.

Inferring future warming in the Arctic from the observed global warming trend and CMIP6 simulations

Inferring future warming in the Arctic from the observed global warming trend and CMIP6 simulations

HU Xiao-Ming 1MA Jie-Ru 2YING Jun 3CAI Ming 4KONG Yun-Qi5

作者信息

  • 1. School of Atmospheric Sciences,Sun Yat-sen University,Zhuhai,519082,China
  • 2. State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography,State Oceanic Administration,Hangzhou,310012,China
  • 3. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),Zhuhai,519082,China
  • 4. Key Laboratory for Semi-Arid Climate Change of the Ministry of Education,College of Atmospheric Sciences,Lanzhou University,Lanzhou,730000,China
  • 5. Department of Earth,Ocean,and Atmospheric Science,Florida State University,Tallahassee,32306,USA
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摘要

关键词

CMIP6/Arctic warming projection/Global warming/Observational constraint

Key words

CMIP6/Arctic warming projection/Global warming/Observational constraint

引用本文复制引用

HU Xiao-Ming,MA Jie-Ru,YING Jun,CAI Ming,KONG Yun-Qi..Inferring future warming in the Arctic from the observed global warming trend and CMIP6 simulations[J].气候变化研究进展(英文版),2021,12(4):499-507,9.

基金项目

We are grateful for the constructive and insightful com-ments from the editor and the anonymous reviewers that have led to a significant improvement in the presentation.We would thank Profs.Yang Qinghua and Han Bo of the Sun Yat-sen University for several helpful discussions.This study was in part supported by grants from National Key R&D Program of China (2019YFA0607000),the National Natural Science Foundation of China (41805050,42075028,41922044,42088101,41722502 and 41521004).All CMIP6 data used are archived and freely accessible at http://esgf-node.llnl.gov/search/cmip6.Calculations were supported by the High-Performance Grid Computing Platform of Sun Yat-sen University and the China National Supercomputer Center in Guangzhou. (2019YFA0607000)

气候变化研究进展(英文版)

OACSCDSCI

1674-9278

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