Measurements of anthropogenic tracers such as chlorofluorocarbons and tritium must be quantitatively combined with ocean general circulation models as a component of systematic model development. The authors have developed and tested an inverse method, using a Green's function, to constrain general circulation models with transient tracer data. Using this method chlorofluorocarbon-11 and -12 (CFC-11 and -12) observations are combined with a North Atlantic configuration of the Miami Isopycnic Coordinate Ocean Model with 4/3 degrees resolution. Systematic differences can be seen between the observed CFC concentrations and prior CFC fields simulated by the model. These differences are reduced by the inversion, which determines the optimal gas transfer across the air-sea interface, accounting for uncertainties in the tracer observations. After including the effects of unresolved variability in the CFC fields, the model is found to be inconsistent with the observations because the model/data misfit slightly exceeds the error estimates. By excluding observations in waters ventilated north of the Greenland-Scotland ridge (sigma (0) < 27.82 kg m(-3); shallower than about 2000 m), the fit is improved, indicating that the Nordic overflows are poorly represented in the model. Some systematic differences in the model/data residuals remain and are related, in part, to excessively deep model ventilation near Rockall and deficient ventilation in the main thermocline of the eastern subtropical gyre. Nevertheless, there do not appear to be gross errors in the basin-scale model circulation. Analysis of the CFC inventory using the constrained model suggests that the North Atlantic Ocean shallower than about 2000 m was near 20% saturated in the mid-1990s. Overall, this basin is a sink to 22% of the total atmosphere-to-ocean CFC-11 flux-twice the global average value. The average water mass formation rates over the CFC transient are 7.0 and 6.0 Sv (Sv = 10(6) m(3) s(-1)) for subtropical mode water and subpolar mode water, respectively.
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Royal Netherlands Meteorol Inst KNMI, De Bilt, NetherlandsRoyal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
van Hulten, M. M. P.
Sterl, A.
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Royal Netherlands Meteorol Inst KNMI, De Bilt, NetherlandsRoyal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
Sterl, A.
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Tagliabue, A.
Dutay, J. -C.
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Lab Sci Climat & Environnement, Gif Sur Yvette, FranceRoyal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
Dutay, J. -C.
Gehlen, M.
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Lab Sci Climat & Environnement, Gif Sur Yvette, FranceRoyal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
Gehlen, M.
de Baar, H. J. W.
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Univ Groningen RUG, Groningen, Netherlands
Royal Netherlands Inst Sea Res NIOZ, Den Burg, NetherlandsRoyal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
de Baar, H. J. W.
Middag, R.
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Royal Netherlands Inst Sea Res NIOZ, Den Burg, Netherlands
Univ Calif Santa Cruz, Santa Cruz, CA 95064 USARoyal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands