New estimation of critical insolation–CO2 relationship for triggering glacial inception

IF 3.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Climate of The Past Pub Date : 2024-06-17 DOI:10.5194/cp-20-1349-2024
Stefanie Talento, Matteo Willeit, Andrey Ganopolski
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Abstract

Abstract. It has been previously proposed that glacial inception represents a bifurcation transition between interglacial and glacial states and is governed by the nonlinear dynamics of the climate–cryosphere system. To trigger glacial inception, the orbital forcing (defined as the maximum of summer insolation at 65° N and determined by Earth’s orbital parameters) must be lower than a critical level, which depends on the atmospheric CO2 concentration. While paleoclimatic data do not provide a strong constraint on the dependence between CO2 and critical insolation, its accurate estimation is of fundamental importance for predicting future glaciations and the effect that anthropogenic CO2 emissions might have on them. In this study, we use the novel Earth system model of intermediate complexity CLIMBER-X with interactive ice sheets to produce a new estimation of the critical insolation–CO2 relationship for triggering glacial inception. We perform a series of experiments in which different combinations of orbital forcing and atmospheric CO2 concentration are maintained constant in time. We analyze for which combinations of orbital forcing and CO2 glacial inception occurs and trace the critical relationship between them, separating conditions under which glacial inception is possible from those where glacial inception is not materialized. We also provide a theoretical foundation for the proposed critical insolation–CO2 relation. We find that the use of the maximum summer insolation at 65° N as a single metric for orbital forcing is adequate for tracing the glacial inception bifurcation. Moreover, we find that the temporal and spatial patterns of ice sheet growth during glacial inception are not always the same but depend on the critical insolation and CO2 level. The experiments evidence the fact that during glacial inception, ice sheets grow mostly in North America, and only under low CO2 conditions are ice sheets also formed over Scandinavia. The latter is associated with a weak Atlantic Meridional Overturning Circulation (AMOC) for low CO2. We find that the strength of AMOC also affects the rate of ice sheet growth during glacial inception.
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对引发冰川萌发的临界日照-二氧化碳关系的新估计
摘要以前曾有人提出,冰川期的到来是间冰期和冰川期之间的分岔过渡,受气候-冰冻圈系统的非线性动力学支配。要触发冰川期的到来,轨道强迫(定义为北纬 65°的夏季日照最大值,由地球轨道参数决定)必须低于临界水平,而这一临界水平取决于大气中二氧化碳的浓度。虽然古气候数据并没有对二氧化碳与临界日照之间的关系提供强有力的约束,但其准确估计对于预测未来的冰川以及人为二氧化碳排放可能对其产生的影响具有根本性的重要意义。在本研究中,我们利用具有交互式冰盖的新型中等复杂度 CLIMBER-X 地球系统模型,对引发冰川萌发的临界日照-二氧化碳关系进行了新的估算。我们进行了一系列实验,其中轨道强迫和大气二氧化碳浓度的不同组合在时间上保持不变。我们分析了在哪些轨道强迫和二氧化碳组合下会出现冰川萌发,并追踪了它们之间的临界关系,将可能出现冰川萌发的条件与不会出现冰川萌发的条件区分开来。我们还为提出的日照-二氧化碳临界关系提供了理论依据。我们发现,使用北纬 65°的夏季最大日照作为轨道强迫的单一指标,足以追踪冰川开始的分岔。此外,我们还发现冰川期冰盖增长的时空模式并不总是相同的,而是取决于临界日照和二氧化碳水平。实验证明,冰川期冰盖主要在北美洲生长,只有在低二氧化碳条件下,斯堪的纳维亚半岛也会形成冰盖。后者与低二氧化碳条件下大西洋经向翻转环流(AMOC)较弱有关。我们发现,AMOC 的强度也会影响冰川期冰盖的增长速度。
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来源期刊
Climate of The Past
Climate of The Past 地学-气象与大气科学
CiteScore
7.40
自引率
14.00%
发文量
120
审稿时长
4-8 weeks
期刊介绍: Climate of the Past (CP) is a not-for-profit international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on the climate history of the Earth. CP covers all temporal scales of climate change and variability, from geological time through to multidecadal studies of the last century. Studies focusing mainly on present and future climate are not within scope. The main subject areas are the following: reconstructions of past climate based on instrumental and historical data as well as proxy data from marine and terrestrial (including ice) archives; development and validation of new proxies, improvements of the precision and accuracy of proxy data; theoretical and empirical studies of processes in and feedback mechanisms between all climate system components in relation to past climate change on all space scales and timescales; simulation of past climate and model-based interpretation of palaeoclimate data for a better understanding of present and future climate variability and climate change.
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