LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Lane, Emily; Peacock, Synte; Restrepo, Juan M. (2011)
Publisher: Tellus B
Journal: Tellus B
Languages: English
Types: Article
Subjects:
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
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 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.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article

Collected from