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2
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M. Battle et al., Science 287, 2467 (2000).
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Science
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Battle, M.1
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10
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0032506519
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T. Peng et al., Nature 396, 560 (1998).
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Nature
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Peng, T.1
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11
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0003546614
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Ocean Observing System Development Panel (OOSDP) Background Report 5, Texas A&M Univ., College Station, TX
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D. W. R. Wallace, Monitoring Global Ocean Carbon Inventories [Ocean Observing System Development Panel (OOSDP) Background Report 5, Texas A&M Univ., College Station, TX, 1995].
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Monitoring Global Ocean Carbon Inventories
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Wallace, D.W.R.1
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16
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0346434678
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unpublished data
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R. J. Matear, unpublished data.
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Matear, R.J.1
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20
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0347064892
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note
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-6 atmospheres and α is the temperaturedependent solubility (18). The time since last contact with the atmosphere (water age) was then estimated by finding the date at which the atmospheric pCFC-12 equaled the oceanic pCFC-12. Unlike CFC-11, CFC-12 continued to increase in the atmosphere through the mid-1990s and therefore will give less bias due to mixing (23). Mixing beyond bulk advection from a single source region is not accounted for when calculating CFC ages. The biases in using CFC ages were explored with an OGCM (34).
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26
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0003412077
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Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, TN
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C. D. Keeling, T. P. Whorf, Trends: A Compendium of Data on Global Change (Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, TN, 2002).
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Trends: A Compendium of Data on Global Change
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Keeling, C.D.1
Whorf, T.P.2
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28
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0346434675
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note
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We used the dissociation constants derived from (27) to calculate the equilibrium DIC concentration. Using different constants resulted in negligible changes in our estimates.
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29
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0347695546
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note
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The preformed alkalinity distribution is essential because it largely determines the oceanic buffer capacity. Preformed alkalinity was derived using a multiple linear regression of the surface (<60 dbar) alkalinity distribution for each of the three ocean basins in a way similar to the technique used by Sabine et at. (12). Using in situ alkalinity instead of preformed alkalinity resulted in negligible changes in our results.
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30
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0347064890
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note
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2 is assumed to be a perturbation propagating through the ocean as a tracer inert to the biological carbon pump.
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31
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0346434673
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note
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2 on shorter time scales (such as decadal) during which the disequilibrium is closer to constant than over longer time scales (since preindustrial times).
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33
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0345803524
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note
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2 from 1980 to 1989 and from 1990 to 1999 was calculated on a 1° grid at 100 m intervals and integrated to 5000 m for the Atlantic and 2000 m for the Indian and Pacific Oceans. The objective mapping techniques used were based on the methods described by Sarmiento et at. (38). For the basinwide inventories, the Southern Ocean was split from 120°E to 70°W for the Pacific, 70°W to 30°E for the Atlantic, and 30°E to 120°E for the Indian Ocean. Aside from the Southern Ocean, the major continents were taken to be main boundaries separating the ocean basins.
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34
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0346434674
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note
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2 inventory from 1980 to 1999 (32.8 Pg of C). We are hesitant to apply this "correction" because there is good agreement between our CFC age-based inventory and those using the direct techniques (MLR and isopycnal) in the Indian Ocean (Fig. 1), which suggests that the model bias may be exaggerated. Instead, we expand our estimated uncertainty to ∼15%, which includes both the predicted "bias" from our model analysis (including mixing and disequilibrium) and the uncertainty in the inventories obtained from the MLR and isopycnal analyses. The measurement precision of CFC was taken to be ±0.005 pmol/kg. Adding this value to the simulated CFCs in the model resulted in an uncertainty of about 5% in the global inventory. Repeat measurements of CFCs show differences in CFC ages from year to year (39). As model simulations may underestimate interannual variability in the ocean, we added extra "noise" to the CFC measurements in the model (±0.01 pmol/kg), which resulted in a further 10% uncertainty in our estimates. The uncertainty associated with the inventory calculation was determined using two different interpolation schemes (objective and loess) and was estimated to be 2%. The total uncertainty of our estimate (∼20%) was calculated by a sum-of-squares propagation of all uncertainties with the assumption that each is independent of the others. We believe the uncertainty of our estimates to be an upper limit, given the good consistency between our estimated inventory in the Indian Ocean and those using the direct methods (10, 12) (Fig. 1). Because these direct techniques (MLR and isopycna[) are not subject to the uncertainties associated with the CFC age method (for example, in ages and disequilibrium), they provide evidence of upper-bound errors.
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35
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0347695545
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note
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The predicted warming of the ocean in the climate change simulation (0.3°C) was in good agreement with observations from 1950 to 1998 (40) and provides confidence that the model is simulating recent changes in the ocean.
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36
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0345803523
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note
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2 uptake, models use constant climate and assume that biological processes are operating in a steady state. These are the same assumptions used for the CFC age technique.
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38
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0007654779
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Ocean Tracer Laboratory Tech Report 1, Princeton Univ. Press, Princeton, NJ
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J. L. Sarmiento, J. Willebrand, S. Hellerman, Objective Analysis of Tritium Observations in the Atlantic Ocean During 1971-1974 (Ocean Tracer Laboratory Tech Report 1, Princeton Univ. Press, Princeton, NJ, 1982).
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(1982)
Objective Analysis of Tritium Observations in the Atlantic Ocean During 1971-1974
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Sarmiento, J.L.1
Willebrand, J.2
Hellerman, S.3
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39
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0032056431
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S. C. Doney, J. L. Bullister, R. Wanninkhof, Geophys. Res. Lett., 25, 1399 (1998).
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Geophys. Res. Lett.
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, pp. 1399
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Doney, S.C.1
Bullister, J.L.2
Wanninkhof, R.3
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40
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0034708673
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S. Levitus, J. I. Antonov, T. P. Boyer, C. Stephens, Science 287, 2225 (2000).
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Science
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, pp. 2225
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Levitus, S.1
Antonov, J.I.2
Boyer, T.P.3
Stephens, C.4
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41
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0347695544
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note
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This study would not have been possible without the efforts of those responsible for collecting and analyzing CFCs during WOCE and making those measurements available. They include R. Fine, M. Rhein, W. Roether, W. Smethie, M. Warner, Y. Watanabe, R. Weiss, and C. S. Wong. We also thank three anonymous reviewers and C. Sweeney for comments on the text. B.I.B. and R.M.K. were supported by NSF (grants OCE9819144 and OCE9986310), J.L.B. was supported by NOAA's Office of Global Programs and Global Carbon Cycle Program, J.L.S. was supported by the Carbon Modeling Consortium, and R.J.M. was supported by Environment Australia and the CSIRO Climate Change Program.
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