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预测气候临界点

Predicting climatic tipping points.

机构信息

School of Natural Sciences and Engineering, National Institute of Advanced Studies (NIAS), Indian Institute of Science Campus, Bangalore 560012, India.

Potsdam Institute for Climate Impact Research, PO Box 601203, Potsdam 14412, Germany.

出版信息

Chaos. 2023 Feb;33(2):021101. doi: 10.1063/5.0135266.

DOI:10.1063/5.0135266
PMID:36859203
Abstract

Increased levels of greenhouse gases in the atmosphere, especially carbon dioxide, are leading contributors to a significant increase in the global temperature, and the consequent global climatic changes are more noticeable in recent years than in the past. A persistent increased growth of such gases might lead to an irreversible transition or tipping of the Earth's climatic system to a new dynamical state. A change of regimes in CO buildup being correlated to one in global climate patterns, predicting this tipping point becomes crucially important. We propose here an innovative conceptual model, which does just this. Using the idea of rate-induced bifurcations, we show that a sufficiently rapid change in the system parameters beyond a critical value tips the system over to a new dynamical state. Our model when applied to real-world data detects tipping points, enables calculation of tipping rates and predicts their future values, and identifies thresholds beyond which tipping occurs. The model well captures the growth in time of the total global atmospheric fossil-fuel CO concentrations, identifying regime shift changes through measurable parameters and enabling prediction of future trends based on past data. Our model shows two distinct routes to tipping. We predict that with the present trend of variation of atmospheric greenhouse gas concentrations, the Earth's climatic system would move over to a new stable dynamical regime in the year 2022. We determine a limit of 10.62 GtC at the start of 2022 for global CO emissions in order to avoid this tipping.

摘要

大气中温室气体(尤其是二氧化碳)水平的升高是导致全球气温显著上升的主要因素,而近年来全球气候变化比过去更为明显。如果这些气体持续增长,可能会导致地球气候系统向新的动力状态发生不可逆转的转变或临界点。CO 2 积累模式的改变与全球气候模式的改变相关,预测这一临界点变得至关重要。在这里,我们提出了一个创新的概念模型,正好可以做到这一点。我们利用速率诱导分岔的思想表明,系统参数的变化超过临界值时,系统会迅速转变为新的动力状态。我们的模型应用于实际数据,可以检测到临界点,计算出临界点的变化率并预测未来的值,并确定临界点发生的阈值。该模型很好地捕捉了全球大气化石燃料 CO 2 浓度随时间的增长,通过可测量的参数识别出状态转变的变化,并根据过去的数据预测未来的趋势。我们的模型显示了两种不同的达到临界点的途径。我们预测,根据目前大气温室气体浓度变化的趋势,地球气候系统将在 2022 年进入一个新的稳定动力状态。为了避免这种临界点的发生,我们确定在 2022 年初全球 CO 2 排放量的极限为 10.62 GtC。

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