Matteo Cini, Giuseppe Zappa, Francesco Ragone, Susanna Corti
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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.
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。
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.