Rodal Marie, Krumscheid Sebastian, Madan Gaurav, Henry LaCasce Joseph, Vercauteren Nikki
FB Mathematik und Informatik, Freie Universität Berlin, Arnimallee 6, 14195 Berlin, Germany.
Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
Chaos. 2022 Nov;32(11):113139. doi: 10.1063/5.0089694.
A statistical indicator for dynamic stability, known as the Υ indicator, is used to gauge the stability and, hence, detect approaching tipping points of simulation data from a reduced five-box model of the North Atlantic Meridional Overturning Circulation (AMOC) exposed to a time-dependent hosing function. The hosing function simulates the influx of fresh water due to the melting of the Greenland ice sheet and increased precipitation in the North Atlantic. The Υ indicator is designed to detect changes in the memory properties of the dynamics and is based on fitting auto-regressive moving-average models in a sliding window approach to time series data. An increase in memory properties is interpreted as a sign of dynamical instability. The performance of the indicator is tested on time series subject to different types of tipping, namely, bifurcation-induced, noise-induced, and rate-induced tipping. The numerical analysis shows that the indicator indeed responds to the different types of induced instabilities. Finally, the indicator is applied to two AMOC time series from a full complexity Earth systems model (CESM2). Compared with the doubling scenario, the quadrupling scenario results in stronger dynamical instability of the AMOC during its weakening phase.
一种用于动态稳定性的统计指标,即Υ指标,被用来衡量稳定性,从而检测来自北大西洋经向翻转环流(AMOC)简化五箱模型的模拟数据在受到随时间变化的加源函数作用时接近临界点的情况。加源函数模拟了由于格陵兰冰盖融化和北大西洋降水增加导致的淡水流入。Υ指标旨在检测动力学记忆特性的变化,并且基于在滑动窗口方法中对时间序列数据拟合自回归移动平均模型。记忆特性的增加被解释为动力学不稳定的迹象。该指标的性能在受不同类型临界点影响的时间序列上进行了测试,即分岔诱导、噪声诱导和速率诱导的临界点。数值分析表明,该指标确实对不同类型的诱导不稳定性有响应。最后,该指标被应用于来自全复杂度地球系统模型(CESM2)的两个AMOC时间序列。与翻倍情景相比,四倍情景导致AMOC在其减弱阶段具有更强的动力学不稳定性。