More positive and less variable North Atlantic Oscillation at high CO2 forcing

IF 8.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Ivan Mitevski, Simon H. Lee, Gabriel Vecchi, Clara Orbe, Lorenzo M. Polvani
{"title":"More positive and less variable North Atlantic Oscillation at high CO2 forcing","authors":"Ivan Mitevski, Simon H. Lee, Gabriel Vecchi, Clara Orbe, Lorenzo M. Polvani","doi":"10.1038/s41612-025-01051-7","DOIUrl":null,"url":null,"abstract":"<p>The North Atlantic Oscillation (NAO) is the principal mode of atmospheric variability over the North Atlantic, modulating the weather and climate of neighboring regions in both winter and summer. While Earth System Models generally project a more positive NAO under 21st century high-emission scenarios, uncertainties persist as to the precise response of the NAO to increased CO<sub>2</sub> levels, owing to large internal variability. In this study we investigate the response of the NAO to a wide range of CO<sub>2</sub> forcings, from two to eight times the preindustrial values. Analyzing a large sample of present-generation climate models, we find that the NAO likely becomes more positive with increasing CO<sub>2</sub> concentrations. Moreover, we find a reduction in NAO variability. This leads to a smaller increase in the likelihood of extremely positive NAO events than would be expected based solely on the shift in the mean. On the other hand, we also find a reduction in extremely negative NAO events, which is attributable to both the shift toward more positive values and the decrease in variance. Finally, our analysis reveals that the distribution of the NAO response at high CO<sub>2</sub> forcing is negatively skewed. This fact partially offsets the decrease in extremely positive NAO events associated with reduced variability. Ultimately, our results suggest a greater increase in positive NAO events compared to the decrease in extremely negative NAO events at higher CO<sub>2</sub> forcing.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"116 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate and Atmospheric Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41612-025-01051-7","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The North Atlantic Oscillation (NAO) is the principal mode of atmospheric variability over the North Atlantic, modulating the weather and climate of neighboring regions in both winter and summer. While Earth System Models generally project a more positive NAO under 21st century high-emission scenarios, uncertainties persist as to the precise response of the NAO to increased CO2 levels, owing to large internal variability. In this study we investigate the response of the NAO to a wide range of CO2 forcings, from two to eight times the preindustrial values. Analyzing a large sample of present-generation climate models, we find that the NAO likely becomes more positive with increasing CO2 concentrations. Moreover, we find a reduction in NAO variability. This leads to a smaller increase in the likelihood of extremely positive NAO events than would be expected based solely on the shift in the mean. On the other hand, we also find a reduction in extremely negative NAO events, which is attributable to both the shift toward more positive values and the decrease in variance. Finally, our analysis reveals that the distribution of the NAO response at high CO2 forcing is negatively skewed. This fact partially offsets the decrease in extremely positive NAO events associated with reduced variability. Ultimately, our results suggest a greater increase in positive NAO events compared to the decrease in extremely negative NAO events at higher CO2 forcing.

Abstract Image

在高CO2强迫下,北大西洋涛动正性更强,变化更少
北大西洋涛动(NAO)是北大西洋大气变率的主要模式,在冬季和夏季调节邻近地区的天气和气候。虽然在21世纪高排放情景下,地球系统模式通常预测出一个更积极的NAO,但由于内部变率很大,关于NAO对二氧化碳水平增加的精确响应仍然存在不确定性。在本研究中,我们研究了NAO对大范围CO2强迫的响应,从工业化前值的2到8倍。通过对当前气候模式的大量样本分析,我们发现随着二氧化碳浓度的增加,NAO可能变得更加正。此外,我们发现NAO变率有所降低。这导致极端积极的NAO事件的可能性的增加比仅仅根据平均值的变化所预期的要小。另一方面,我们还发现极端负的NAO事件减少,这是由于向更正的值的转变和方差的减少。最后,我们的分析表明,在高CO2强迫下,NAO响应的分布呈负偏态。这一事实部分抵消了与变率降低相关的极积极的NAO事件的减少。最终,我们的研究结果表明,在CO2强迫升高的情况下,与极负的NAO事件减少相比,正的NAO事件增加得更多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
npj Climate and Atmospheric Science
npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science
CiteScore
8.80
自引率
3.30%
发文量
87
审稿时长
21 weeks
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信