Livina, V N; Vaz Martins, T M*; Forbes, A B (2015) Tipping point analysis of atmospheric oxygen concentration. Chaos: an Interdisciplinary Journal of Nonlinear Science, 25 (3). 036403

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Abstract

We apply tipping point analysis to nine observational oxygen concentration records around the globe, analyse their dynamics and perform forecasts 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.

Item Type:	Article
Subjects:	Mathematics and Scientific Computing Mathematics and Scientific Computing > Modelling
Identification number/DOI:	10.1063/1.4907185
Last Modified:	02 Feb 2018 13:13
URI:	http://eprintspublications.npl.co.uk/id/eprint/6526

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