Livina V N, Martins T M Vaz, Forbes A B
National Physical Laboratory, Teddington TW11 0LW, United Kingdom.
John Innes Centre, Norwich NR4 7UH, United Kingdom.
Chaos. 2015 Mar;25(3):036403. doi: 10.1063/1.4907185.
We apply tipping point analysis to nine observational oxygen concentration records around the globe, analyse their dynamics and perform projections under possible future scenarios, leading to oxygen deficiency in the atmosphere. The analysis is based on statistical physics framework with stochastic modelling, where we represent the observed data as a composition of deterministic and stochastic components estimated from the observed data using Bayesian and wavelet techniques.
我们对全球九个观测到的氧气浓度记录进行了临界点分析，分析其动态变化，并在未来可能的情景下进行预测，这些情景会导致大气中的氧气短缺。该分析基于统计物理框架和随机建模，我们使用贝叶斯和小波技术，将观测数据表示为由从观测数据中估计出的确定性和随机成分组成。
