Noise-shaped hysteresis cycles of the AMOC under increasing CO2 forcing.

IF 3.2 2区 数学 Q1 MATHEMATICS, APPLIED Chaos Pub Date : 2025-02-01 DOI:10.1063/5.0241503
Matteo Cini, Giuseppe Zappa, Francesco Ragone, Susanna Corti
{"title":"Noise-shaped hysteresis cycles of the AMOC under increasing CO2 forcing.","authors":"Matteo Cini, Giuseppe Zappa, Francesco Ragone, Susanna Corti","doi":"10.1063/5.0241503","DOIUrl":null,"url":null,"abstract":"<p><p>The Atlantic Meridional Overturning Circulation (AMOC) stability landscape is commonly investigated with single-realization hysteresis diagrams driven by freshwater input in the North Atlantic Ocean. However, the effect of CO2 forcing on one side and the role of internal climate variability on the timing of tipping and the AMOC hysteresis on the other side remain less explored. Here, we address this gap by running three independent AMOC hysteresis simulations, consisting of a slow ramp-up plus ramp-down in the CO2 concentration (0.2 ppm/year) within the PlaSim-Large-Scale Geostrophic (LSG) intermediate complexity model. We show that the realizations of the CO2-driven hysteresis cycle, and particularly, the timing of the tipping and recovery, are remarkably affected by internal climate variability. In one of the three simulations, we even observe a reversed cycle, where the AMOC recovers at a higher CO2 level than at the collapse point. While statistical Early Warning Signals (EWSs) show some success in detecting the tipping points, we also find that the internal variability in the EWS considerably reduces the predictability of collapse and leads to false positives of an approaching AMOC tipping. We suggest that the AMOC collapse in the presence of internal climate variability may have characteristics that deviate substantially from the behavior seen in simple models and that caution is needed when interpreting results from a single-experiment realization. Our findings highlight the need for a probabilistic approach in defining a \"safe operating space\" for AMOC stability, since it might not be possible to define a single critical CO2 threshold to prevent AMOC collapse.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 2","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1063/5.0241503","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

The Atlantic Meridional Overturning Circulation (AMOC) stability landscape is commonly investigated with single-realization hysteresis diagrams driven by freshwater input in the North Atlantic Ocean. However, the effect of CO2 forcing on one side and the role of internal climate variability on the timing of tipping and the AMOC hysteresis on the other side remain less explored. Here, we address this gap by running three independent AMOC hysteresis simulations, consisting of a slow ramp-up plus ramp-down in the CO2 concentration (0.2 ppm/year) within the PlaSim-Large-Scale Geostrophic (LSG) intermediate complexity model. We show that the realizations of the CO2-driven hysteresis cycle, and particularly, the timing of the tipping and recovery, are remarkably affected by internal climate variability. In one of the three simulations, we even observe a reversed cycle, where the AMOC recovers at a higher CO2 level than at the collapse point. While statistical Early Warning Signals (EWSs) show some success in detecting the tipping points, we also find that the internal variability in the EWS considerably reduces the predictability of collapse and leads to false positives of an approaching AMOC tipping. We suggest that the AMOC collapse in the presence of internal climate variability may have characteristics that deviate substantially from the behavior seen in simple models and that caution is needed when interpreting results from a single-experiment realization. Our findings highlight the need for a probabilistic approach in defining a "safe operating space" for AMOC stability, since it might not be possible to define a single critical CO2 threshold to prevent AMOC collapse.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
CO2强迫增加下AMOC的噪声形滞后周期。
大西洋经向翻转环流(AMOC)的稳定性景观通常是由北大西洋淡水输入驱动的单实现迟滞图来研究的。然而,对一方面CO2强迫的影响以及另一方面内部气候变率对峰顶时间和AMOC滞后的作用的探索仍然较少。在这里,我们通过运行三个独立的AMOC滞后模拟来解决这一差距,包括在plasim - large - large - Geostrophic (LSG)中等复杂性模型中CO2浓度的缓慢上升和下降(0.2 ppm/年)。我们发现,二氧化碳驱动的滞后循环的实现,特别是临界点和恢复的时间,受到内部气候变化的显著影响。在三个模拟中的一个中,我们甚至观察到一个相反的循环,AMOC在比崩溃点更高的二氧化碳水平下恢复。虽然统计早期预警信号(EWS)在检测引爆点方面取得了一些成功,但我们也发现EWS的内部可变性大大降低了崩溃的可预测性,并导致AMOC接近引爆点的假阳性。我们认为,在内部气候变率存在的情况下,AMOC崩溃可能具有与简单模式中所见的行为有很大偏差的特征,在解释单次实验实现的结果时需要谨慎。我们的研究结果强调了在定义AMOC稳定性的“安全操作空间”时需要一种概率方法,因为可能不可能定义一个防止AMOC崩溃的关键二氧化碳阈值。
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 去求助
来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
期刊最新文献
A Bayesian framework for symmetry inference in chaotic attractors. Transient times and cycle-rich topology in reservoir computing. Noise-enhanced stickiness in the Harper map. Noise-induced transients in the propagation of epidemic with higher-order interactions. Introduction to Focus Issue: Nonautonomous dynamical systems: Theory, methods, and applications.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1