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Biogeosciences An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 3
Biogeosciences, 10, 1799-1813, 2013
https://doi.org/10.5194/bg-10-1799-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Low oxygen in marine environments from the Cretaceous to the...

Biogeosciences, 10, 1799-1813, 2013
https://doi.org/10.5194/bg-10-1799-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 19 Mar 2013

Research article | 19 Mar 2013

Detecting an external influence on recent changes in oceanic oxygen using an optimal fingerprinting method

O. D. Andrews1, N. L. Bindoff2,3,4, P. R. Halloran5, T. Ilyina6, and C. Le Quéré1 O. D. Andrews et al.
  • 1Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK
  • 2IMAS, University of Tasmania, Hobart, Australia
  • 3CSIRO Marine and Atmospheric Research, Hobart, Australia
  • 4ACE CRC, University of Tasmania, Hobart, Australia
  • 5Met Office Hadley Centre, FitzRoy Road, Exeter, UK
  • 6Max Planck Institute for Meteorology, Hamburg 20146, Germany

Abstract. Ocean deoxygenation has been observed in all major ocean basins over the past 50 yr. Although this signal is largely consistent with oxygen changes expected from anthropogenic climate change, the contribution of external forcing to recent deoxygenation trends relative to natural internal variability is yet to be established. Here we conduct a formal optimal fingerprinting analysis to investigate if external forcing has had a detectable influence on observed dissolved oxygen concentration ([O2]) changes between ∼1970 and ∼1992 using simulations from two Earth System Models (MPI-ESM-LR and HadGEM2-ES). We detect a response to external forcing at a 90% confidence level and find that observed [O2] changes are inconsistent with internal variability as simulated by models. This result is robust in the global ocean for depth-averaged (1-D) zonal mean patterns of [O2] change in both models. Further analysis with the MPI-ESM-LR model shows similar positive detection results for depth-resolved (2-D) zonal mean [O2] changes globally and for the Pacific Ocean individually. Observed oxygen changes in the Atlantic Ocean are indistinguishable from natural internal variability. Simulations from both models consistently underestimate the amplitude of historical [O2] changes in response to external forcing, suggesting that model projections for future ocean deoxygenation may also be underestimated.

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