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Lane, Emily; Peacock, Synte; Restrepo, Juan M. (2011)
Publisher: Tellus B
Journal: Tellus B
Languages: English
Types: Article
Most of the hypotheses put forward to explain glacial–interglacial cycles in atmospheric pCO2 are centred on Southern-Ocean-based mechanisms. This is in large part because: (1) timing constraints rule out changes in the North Atlantic as the trigger; (2) the concept of “high-latitude sensitivity” eliminates changes in the non-polar oceans as likely contenders. Many of the Southern-Ocean-based mechanisms for changing atmospheric pCO2 on glacial–interglacial time-scales are based on results from highly simplified box models with prescribed flow fields and fixed particulate flux. It has been argued that box models are significantly more “high-latitude sensitive” than General Circulation Models. In light of this, it is important to understand whether this high-latitude sensitivity is a feature common to all box models, and whether the apparent degree of sensitivity changes for different tracers and parameters. We introduce a new metric for assessing how “high-latitude sensitive” a particular solution is to perturbations. With this metric, we demonstrate that a given model may be high-latitude sensitive to certain parameters but not to others. We find that the incorporation of a dynamic-based flow field and a Michaelis–Menten type nutrient feedback can have a significant impact on the apparent sensitivity of the model to perturbations. The implications of this for current box-model-based estimates of atmospheric pCO2drawdown are discussed.DOI: 10.1111/j.1600-0889.2006.00192.x
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    • Adkins, J. F., McIntyre, K. and Schrag, D. P. 2002. The salinity, temperature, and δ18O of the glacial deep ocean. Science 298, 1769-1773.
    • Anderson, L. and Sarmiento, J. 1994. Redfield ratios of remineralization determined by data analysis. Global Biogeochemical Cycles 8, 65-80.
    • Archer, D., Martin, P., Brovkin, V., Plattner, G.-K. and Ashendel, C. 2003. Model sensitivity in the effect of Antarctic sea ice and stratification on atmospheric pCO2. Paleoceanography 18(1), 1012.
    • Archer, D. E. and Winguth, A. 2000. What caused the glacial/interglacial atmospheric pCO2 cycles? Reviews of Geophysics 38(2), 159-189.
    • Polzin, K. L., Toole, J. M., Ledwell, J. R. and Schmitt, R. W. 1997. Spatial variability of turbulent mixing in the abyssal ocean. Science 276, 93-96.
    • Restrepo, J. M., Leaf, G. K. and Griewank, A. 1998. Circumventing storage limitations in variational data assimilation. SIAM Journal on Scientific Computing 19, 1586-1605.
    • Sarmiento, J. L. and Gruber, N. 2006. Ocean Biogeochemical Dynamics. Princeton University Press.
    • Sarmiento, J. L. and Toggweiler, J. R. 1984. A new model for the role of the oceans in determining atmospheric pCO2. Nature 308, 621- 624.
    • Sarmiento, J. L., Dunne, J., Gnanadesikan, A., Matsumoto, K. and Slater, R. R. 2002. A new estimate of the CaCO3 to organic carbon export ratio. Global Biogeochemical Cycles 16(4), doi:10.1029/2002GB001919.
    • Schmitz, W. 1995. On the interbasin-scale thermohaline circulation. Reviews of Geophysics 33, 151-173.
    • Shaffer, G. and Olsen, S. 2001. Sensitivity of the thermohaline circulation and climate to ocean exchanges in a simple coupled model. Climate Dynamics 17(5-6), 433-444.
    • Siegenthaler, U. and Wenk, T. 1984. Rapid atmospheric CO2 variations and ocean circulation. Nature 308, 624-626.
    • Stephens, B. and Keeling, R. 2000. The influence of Antarctic sea ice on glacial-interglacial CO2 variations. Nature 404, 171-174.
    • Stommel, H. 1961. Thermohaline convection with 2 stable regimes of flow. Tellus 13(2), 92-96.
    • Takahashi, T. et al, 1999. Global air-sea flux of CO2: An estimate based on measurements of sea-air pCO2 difference. Proceedings of the National Academy of Sciences of the United States of America 94(16), 8292-8299.
    • Thual, O. and McWilliams, J. C. 1992. The catastrophe structure of thermohaline convection in a two-dimensional fluid model and a comparison with low-order box models. Geophysical and Astrophysical Fluid Dynamics 64, 67-95.
    • Toggweiler, J. R. 1999. Variations of atmospheric CO2 by ventilation of the ocean's deepest water. Paleoceanography 5, 571-588.
    • Toggweiler, J. R., Gnanadesikan, A., Carson, S., Murnane, R. and Sarmiento, J. L. 2003. Representation of the carbon cycle in box models and GCMs, part 1, the solubility pump. Global Biogeochem. Cycles, 17(1), 1026, doi: 10.1029/2001GB001401, 2003.
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