4.7 Article

Arctic Sea Ice in CMIP6

期刊

GEOPHYSICAL RESEARCH LETTERS
卷 47, 期 10, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2019GL086749

关键词

sea ice; CMIP6; Arctic; climate models; model evaluation

资金

  1. European Union's Horizon 2020 research and innovation programme [641816, 727862]
  2. National Science Foundation (NSF)
  3. National Center for Atmospheric Research - NSF [1852977]
  4. CSIRO
  5. Earth Systems and Climate Change Hub of the Australian Government's National Environmental Science Program
  6. Australian Research Council Centre of Excellence for Climate System Science
  7. CSIRO Climate Science Centre
  8. WCRP-CliC Project
  9. Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme [GA01101]
  10. Research Concile of Norway through INES [270061]
  11. Arctic Across Scales Project through the Knut and Alice Wallenberg Foundation [KAW2016.0024]
  12. Natural Sciences and Engineering Council of Canada
  13. Fond de recherche du Qubec-Nature et Technologies
  14. Canadian Meteorological and Oceanographic Society
  15. NSF-OPP Award [1847398, 1504023]
  16. EU Horizon 2020 OSeaIce project, under the Marie Sklodowska-Curie Grant [834493]
  17. German Ministry for Education and Research
  18. H2020 MSCA IF [846824]
  19. Regional and Global Modeling and Analysis program of the Department of Energy's Biological and Environmental Research division
  20. Deutsche Forschungsgemeinschaft under Germanys Excellence Strategy [EXC 2037, 390683824]
  21. National Science Foundation [PLR-1643431]
  22. National Oceanic and Atmospheric Administration Grant [NA18OAR4310274]
  23. Canada C150 Chair Program

向作者/读者索取更多资源

We examine CMIP6 simulations of Arctic sea-ice area and volume. We find that CMIP6 models produce a wide spread of mean Arctic sea-ice area, capturing the observational estimate within the multimodel ensemble spread. The CMIP6 multimodel ensemble mean provides a more realistic estimate of the sensitivity of September Arctic sea-ice area to a given amount of anthropogenic CO2 emissions and to a given amount of global warming, compared with earlier CMIP experiments. Still, most CMIP6 models fail to simulate at the same time a plausible evolution of sea-ice area and of global mean surface temperature. In the vast majority of the available CMIP6 simulations, the Arctic Ocean becomes practically sea-ice free (sea-ice area <1 x 10(6) km(2)) in September for the first time before the Year 2050 in each of the four emission scenarios SSP1-1.9, SSP1-2.6, SSP2-4.5, and SSP5-8.5 examined here.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据