Mian Xu, Shichang Kang, James A. Screen, Alexandre Audette, Wenshou Tian, Jiankai Zhang, Hao Yu, Han Zhang
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引用次数: 0
Abstract
The potential for Arctic sea-ice loss, particularly in the Barents-Kara Seas, to induce Eurasian winter cooling remains contentious. Despite a significant correlation between Barents-Kara-Seas sea-ice loss and Eurasian winter cooling in observations, modeling studies suggest minimal causal influence. Through constraining Barents-Kara-Seas sea-ice to different states in ocean-atmosphere-coupled simulations, here we show that ocean-atmosphere coupling enhances the Eurasian cooling induced by historical sea-ice loss, though still weaker than observed, likely due to internal variability and confounding factors. Historical sea-ice loss induces stronger and deeper Arctic warming with ocean-atmosphere coupling than without, associated with a strengthened Siberian High and East Asian Trough, which promotes Eurasian cooling. However, ocean-atmosphere coupling has little influence on the Eurasian cooling response to projected end-of-the-twenty-first-century sea-ice loss. The Eurasian temperature response to historical sea-ice loss is dominated by dynamically-induced cooling, whereas strong thermodynamical warming masks dynamically-induced cooling in response to far-future sea-ice loss.
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.