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DOI | 10.1029/2019GL085397 |
Quantification of the Arctic Sea Ice-Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations | |
Liang Y.-C.; Kwon Y.-O.; Frankignoul C.; Danabasoglu G.; Yeager S.; Cherchi A.; Gao Y.; Gastineau G.; Ghosh R.; Matei D.; Mecking J.V.; Peano D.; Suo L.; Tian T. | |
发表日期 | 2020 |
ISSN | 0094-8276 |
卷号 | 47期号:1 |
英文摘要 | A coordinated set of large ensemble atmosphere-only simulations is used to investigate the impacts of observed Arctic sea ice-driven variability (SIDV) on the atmospheric circulation during 1979–2014. The experimental protocol permits separating Arctic SIDV from internal variability and variability driven by other forcings including sea surface temperature and greenhouse gases. The geographic pattern of SIDV is consistent across seven participating models, but its magnitude strongly depends on ensemble size. Based on 130 members, winter SIDV is ~0.18 hPa2 for Arctic-averaged sea level pressure (~1.5% of the total variance), and ~0.35 K2 for surface air temperature (~21%) at interannual and longer timescales. The results suggest that more than 100 (40) members are needed to separate Arctic SIDV from other components for dynamical (thermodynamical) variables, and insufficient ensemble size always leads to overestimation of SIDV. Nevertheless, SIDV is 0.75–1.5 times as large as the variability driven by other forcings over northern Eurasia and Arctic. ©2019. The Authors. |
英文关键词 | Atmospheric temperature; Greenhouse gases; Sea ice; Sea level; Surface waters; Atmospheric circulation; Atmospheric circulation variability; Ensemble simulation; Experimental protocols; Geographic pattern; Internal variability; Sea surface temperature (SST); Surface air temperatures; Climatology; atmospheric circulation; coordinate; quantitative analysis; sea ice; sea level pressure; sea surface temperature; thermodynamics; Arctic Ocean; Eurasia |
语种 | 英语 |
来源期刊 | Geophysical Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/170886 |
作者单位 | Woods Hole Oceanographic Institution, Woods Hole, MA, United States; Sorbonne Université, CNRS/IRD/MNHN, UMR LOCEAN, Paris, France; National Center for Atmospheric Research, Boulder, CO, United States; Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna, Italy; Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy; Nansen Environmental and Remote Sensing Center and Bjerknes Center for Climate Research, Bergen, Norway; Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Max Planck Institute for Meteorology, Hamburg, Germany; Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Southampton, United Kingdom; National Oceanography Centre Southampton, Southampton, United Kingdom; Danish Meteorological Institute, Copenhagen, Denmark |
推荐引用方式 GB/T 7714 | Liang Y.-C.,Kwon Y.-O.,Frankignoul C.,et al. Quantification of the Arctic Sea Ice-Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations[J],2020,47(1). |
APA | Liang Y.-C..,Kwon Y.-O..,Frankignoul C..,Danabasoglu G..,Yeager S..,...&Tian T..(2020).Quantification of the Arctic Sea Ice-Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations.Geophysical Research Letters,47(1). |
MLA | Liang Y.-C.,et al."Quantification of the Arctic Sea Ice-Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations".Geophysical Research Letters 47.1(2020). |
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