title: Tipping point analysis of atmospheric oxygen concentration.
abstract: 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.
authors.affiliation: National Physical Laboratory, Teddington TW11 0LW, United Kingdom.
authors.forename: V N
authors.initials: VN
authors.lastname: Livina
authors.affiliation: John Innes Centre, Norwich NR4 7UH, United Kingdom.
authors.forename: T M Vaz
authors.initials: TM
authors.lastname: Martins
authors.affiliation: National Physical Laboratory, Teddington TW11 0LW, United Kingdom.
authors.forename: A B
authors.initials: AB
authors.lastname: Forbes
mesh_terms: D001272:Atmosphere / Q000032:analysis / Q000737:chemistry*; D003198:Computer Simulation; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D010100:Oxygen / Q000032:analysis*
chemical_list: D010100:Oxygen