Shuai Zheng, Peilong Yu, Bo Sun, Huijun Wang, Xiaopei Lin, Minghao Yang, Yudi Liu
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引用次数: 0
Abstract
The Arctic Oscillation (AO) is a dominant atmospheric mode in the Northern Hemisphere, influencing weather and climate. Its variations are driven by numerous factors, including Arctic sea ice, particularly autumn Barents-Kara Sea ice concentration (SIC), which can significantly impact the AO through planetary wave dynamics. However, the interdecadal stability of this relationship remains unclear. This study detected the weakened November Barents-Kara SIC-January AO connection after the mid-1990s. Observational and model analysis showed that from 1979 to 1994, their relationship was driven by the North Atlantic tripole (NAT) sea surface temperature (SST) anomalies, which influenced storm track activities over North Atlantic and Eurasia, thus inducing a wave train resembling the Scandinavian pattern. After the mid-1990s, weakened interannual variability of the NAT SST anomalies disrupted this mechanism. These findings highlight the critical role of mid-latitude ocean-atmosphere interactions in Arctic climate variability and emphasize the need for further research on long-term AO-SIC linkages.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.