4.7 Article

Impacts of Arctic Sea Ice on Cold Season Atmospheric Variability and Trends Estimated from Observations and a Multimodel Large Ensemble

期刊

JOURNAL OF CLIMATE
卷 34, 期 20, 页码 8419-8443

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI-D-20-0578.s1

关键词

Arctic; Sea ice; Atmospheric circulation; Climate models

资金

  1. Blue-Action Project (European Union's Horizon 2020 research and innovation programme) [727852]
  2. U.S. National Science Foundation (NSF) Office of Polar Programs Grants [1736738, 1737377]
  3. U.S. NSF [1852977]
  4. SURF Cooperative
  5. National Key R&D Program of China [2017YFE0111800]
  6. Office of Polar Programs (OPP)
  7. Directorate For Geosciences [1736738, 1737377] Funding Source: National Science Foundation

向作者/读者索取更多资源

This study investigates the atmospheric responses to Arctic sea ice variability using large-ensemble experiments of atmospheric circulation models. The results suggest that Arctic sea ice loss plays a significant role in explaining the Arctic warming trends and weakening of the wintertime Arctic Oscillation. The interannual covariability between sea ice extent and atmospheric circulation observed in the Barents-Kara Seas is consistent with model simulations, but caution is needed in interpreting these results due to potential effects of internal atmospheric variability.
To examine the atmospheric responses to Arctic sea ice variability in the Northern Hemisphere cold season (from October to the following March), this study uses a coordinated set of large-ensemble experiments of nine atmospheric general circulation models (AGCMs) forced with observed daily varying sea ice, sea surface temperature, and radiative forcings prescribed during the 1979-2014 period, together with a parallel set of experiments where Arctic sea ice is substituted by its climatology. The simulations of the former set reproduce the near-surface temperature trends in reanalysis data, with similar amplitude, and their multimodel ensemble mean (MMEM) shows decreasing sea level pressure over much of the polar cap and Eurasia in boreal autumn. The MMEM difference between the two experiments allows isolating the effects of Arctic sea ice loss, which explain a large portion of the Arctic warming trends in the lower troposphere and drive a small but statistically significant weakening of the wintertime Arctic Oscillation. The observed interannual covariability between sea ice extent in the Barents-Kara Seas and lagged atmospheric circulation is distinguished from the effects of confounding factors based on multiple regression, and quantitatively compared to the covariability in MMEMs. The interannual sea ice decline followed by a negative North Atlantic Oscillation-like anomaly found in observations is also seen in the MMEM differences, with consistent spatial structure but much smaller amplitude. This result suggests that the sea ice impacts on trends and interannual atmospheric variability simulated by AGCMs could be underestimated, but caution is needed because internal atmospheric variability may have affected the observed relationship.

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