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1 Oceanic sources and sinks for atmospheric CO 2 The Ocean Inversion Contribution Nicolas Gruber 1 , Sara Mikaloff Fletcher 2 , and Kay Steinkamp 1 1 Environmental Physics, ETH Zürich, Zurich, Switzerland. 2 NIWA, Wellington, New Zealand. RECCAP Meeting October 6, 2010
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1 Oceanic sources and sinks for atmospheric CO 2 The Ocean Inversion Contribution Nicolas Gruber 1, Sara Mikaloff Fletcher 2, and Kay Steinkamp 1 1 Environmental.

Dec 24, 2015

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  • Slide 1
  • 1 Oceanic sources and sinks for atmospheric CO 2 The Ocean Inversion Contribution Nicolas Gruber 1, Sara Mikaloff Fletcher 2, and Kay Steinkamp 1 1 Environmental Physics, ETH Zrich, Zurich, Switzerland. 2 NIWA, Wellington, New Zealand. RECCAP Meeting October 6, 2010
  • Slide 2
  • 2 Air-sea CO 2 fluxes from the ocean inversion (2000) Gruber et al. (2009) AIR-SEA FLUXES CONTEMPORARY FLUXES (mol m -2 yr -1 ) ANTHROPOGENIC FLUXES (mol m -2 yr -1 ) NATURAL (PI) FLUXES (mol m -2 yr -1 ) 2000
  • Slide 3
  • 3 Gruber et al. (2009) AIR-SEA FLUXES Global uptake of anthropogenic CO 2 : 2.2 Pg C yr -1 Air-sea CO 2 fluxes from the ocean inversion
  • Slide 4
  • 4 Gruber et al. (2009) AIR-SEA FLUXES The importance of lateral transport
  • Slide 5
  • 5 Gruber et al. (2009) AIR-SEA FLUXES The importance of lateral transport storage flux transport storage flux transport
  • Slide 6
  • 6 How were these air-sea fluxes estimated? Gruber et al. (2009) Using classical Greens function inverse methods, one can infer the surface sources and sinks of anthropogenic and natural CO 2 from their ocean interior distribution. Natural carbon, i.e. C gasex Anthropogenic carbon AIR-SEA FLUXES
  • Slide 7
  • 7 Uncertainty estimate provided by range of model results AIR-SEA FLUXES Estimates come with formal uncertainty estimates, mostly stemming from the spread of ocean models Gruber et al. (2009)
  • Slide 8
  • 8 Air-sea fluxes (and transports) from ocean inversion SUMMARY contact: [email protected] STRENGTHSLIMITS Independent data-based estimate (independent of pCO 2 data and gas-exchange coefficient) Formal uncertainty estimates (including co-variances and estimates for individual models) Attribution to natural and anthropogenic fluxes (for 1995, 2000, 2005) Only annual mean fluxes (no monthly estimates ) Error stems from a combination of data and ocean transport uncertainties Permits to estimate fluxes, storage, and lateral transport (for natural, anthropogenic, and contemporary carbon)
  • Slide 9
  • 9 Access to the data ACCESS contact: [email protected] PATH http://lgmacweb.env.uea.ac.uk/lequere/recc CONTENT go to ETH folder readme_eth.txt fluxes_covariances_OIP_1995-2000-2005.mat gridded_results_OIP_1995-2000-2005.nc
  • Slide 10
  • 10 JOINT INVERSION ADD-ON: Joint-atmosphere-ocean inversion Substantial shift in mean flux for tropical and southern land regions
  • Slide 11
  • 11 The End.
  • Slide 12
  • 12 Convergence of air-sea CO 2 flux estimates Gruber et al. (2009) AIR-SEA FLUXES A remarkable agreement is found, with the exception of the regions south of 44S. Annual fluxes (nominal year of 2000)
  • Slide 13
  • 13 Comparison of ocean inverse estimates with Takahashi climatologies Gruber et al. (2009) With the exception of the Southern Ocean, each subsequent edition of the Takahashi et al. climatology became more consistent with the results of the ocean inversion. AIR-SEA FLUXES
  • Slide 14
  • 14 Comparison of ocean inverse estimates with TransCOM Gruber et al. (2009) Moving from L1 to L3, TransCOMs estimates became more consistent with those from the ocean inversion AIR-SEA FLUXES
  • Slide 15
  • 15 Ocean Inversion Method The ocean is divided into 30 regions Mikaloff Fletcher et al. (2006, 2007) AIR-SEA FLUXES
  • Slide 16
  • 16 Basis functions are model simulated footprints of unit emissions from a number of fixed regions Estimate linear combination of basis functions that fits observations in a least squares sense. Inversion is analogous to linear regression footprints fluxes obs Premultiply both sides by inverse of A estimated fluxes Inversion of ocean interior observations using a Greens function approach AIR-SEA FLUXES