Thermohaline Oscillations in the LSG OGCM: Propagating Anomalies and Sensitivity to Parameterizations

Timothy J. Osborn Climatic Research Unit, University of East Anglia, Norwich, United Kingdom

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Abstract

New experiments are reported that extend previous studies of the internally generated variability found when the Hamburg LSG Ocean General Circulation Model is integrated under mixed boundary conditions. All model integrations have stochastic forcing added to the freshwater flux to excite the variability. It is demonstrated that the salinity anomalies that propagate around the meridional circulation of the Atlantic Ocean are merely signals emitted from the source of the variability in the Southern Ocean; they do not play an active role in its generation. It is the Southern Ocean flip–flop oscillator, as suggested by a previous study, that is the driving mechanism of the 320-yr period oscillations. A second mode of propagation is identified that may be related to the periodicity of the oscillations: westward propagation of upper-ocean salinity anomalies around the coast of Antarctica. It is shown that this mode is driven by the same density-upwelling wave motion as reported elsewhere in the literature.

The sensitivity of the simulated variability to changes in some of the model’s numerical and physical algorithms is investigated. The computationally expensive step of retriangularizing the matrix equation for the barotropic velocity can be done very infrequently without affecting the characteristics of the variability. Changing to a convective overturn parameterization that leaves fewer residual instabilities has a small effect on the variability, while changing to one that mixes, rather than interchanges, statically unstable water masses can reduce the magnitude of the variability by up to 70%. The latter change, however, is attributed entirely to the different freshwater flux forcing that the new parameterization implies. Using a more realistic haline and thermal coupling between sea ice and the ocean also leads to greatly reduced internal variability on the 320-yr timescale. Again, changes in surface fluxes implied by the alteration to the model are important, and these changes have implications for the flux adjustments necessary when the LSG model is coupled to an atmosphere model. The results presented here indicate considerable scope for reducing such flux adjustments.

Corresponding author address: Dr. Timothy J. Osborn, Climatic Research Unit, University of East Anglia, Norwich NR4 7TJ, United Kingdom.

Abstract

New experiments are reported that extend previous studies of the internally generated variability found when the Hamburg LSG Ocean General Circulation Model is integrated under mixed boundary conditions. All model integrations have stochastic forcing added to the freshwater flux to excite the variability. It is demonstrated that the salinity anomalies that propagate around the meridional circulation of the Atlantic Ocean are merely signals emitted from the source of the variability in the Southern Ocean; they do not play an active role in its generation. It is the Southern Ocean flip–flop oscillator, as suggested by a previous study, that is the driving mechanism of the 320-yr period oscillations. A second mode of propagation is identified that may be related to the periodicity of the oscillations: westward propagation of upper-ocean salinity anomalies around the coast of Antarctica. It is shown that this mode is driven by the same density-upwelling wave motion as reported elsewhere in the literature.

The sensitivity of the simulated variability to changes in some of the model’s numerical and physical algorithms is investigated. The computationally expensive step of retriangularizing the matrix equation for the barotropic velocity can be done very infrequently without affecting the characteristics of the variability. Changing to a convective overturn parameterization that leaves fewer residual instabilities has a small effect on the variability, while changing to one that mixes, rather than interchanges, statically unstable water masses can reduce the magnitude of the variability by up to 70%. The latter change, however, is attributed entirely to the different freshwater flux forcing that the new parameterization implies. Using a more realistic haline and thermal coupling between sea ice and the ocean also leads to greatly reduced internal variability on the 320-yr timescale. Again, changes in surface fluxes implied by the alteration to the model are important, and these changes have implications for the flux adjustments necessary when the LSG model is coupled to an atmosphere model. The results presented here indicate considerable scope for reducing such flux adjustments.

Corresponding author address: Dr. Timothy J. Osborn, Climatic Research Unit, University of East Anglia, Norwich NR4 7TJ, United Kingdom.

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  • Barnett, T. P., M. Chu, R. Wilde, and U. Mikolajewicz, 1996a: Low frequency ocean variability induced by stochastic forcing of various colors. Proc. National Research Council Workshop on Decade-to-Century Time Scales of Climate Variability, Irvine, CA, 398–405.

  • ——, B. D. Santer, P. D. Jones, R. S. Bradley, and K. R. Briffa, 1996b: Estimates of the low frequency natural variability in near surface air temperature. The Holocene,6, 255–263.

  • Christoph, M., T. P. Barnett, and E. Roeckner, 1997: The Antarctic Circumpolar Wave in a coupled ocean–atmosphere GCM. MPI Rep. 235, 28 pp. [Available from Max-Planck Institute for Meteorology, Bundesstrasse 55, Hamburg 20146, Germany.].

  • Delworth, T., S. Manabe, and R. J. Stouffer, 1993: Interdecadal variability of the thermohaline circulation in a coupled ocean–atmosphere model. J. Climate,6, 1993–2011.

  • Drijfhout, S., C. Heinze, M. Latif, and E. Maier-Reimer, 1996: Mean circulation and internal variability in an ocean primitive equation model. J. Phys. Oceanogr.,26, 559–580.

  • Gates, W. L., U. Cubasch, G. A. Meehl, J. F. B. Mitchell, and R. J. Stouffer, 1993: An intercomparison of selected features of the control climates simulated by coupled ocean–atmosphere general circulation models. SGGCM, WCRP-82, WMO TD 574. [Available from World Meteorological Organization, Case Postale 2300, CH-1211 Geneva 2, Switzerland.].

  • Haney, R. L., 1971: Surface thermal boundary conditions for ocean circulation models. J. Phys. Oceanogr.,1, 241–248.

  • Hellermann, S., and M. Rosenstein, 1983: Normal monthly wind stress over the world ocean with error estimates. J. Phys. Oceanogr.,13, 1093–1104.

  • Jones, P. D., 1989: Influence of ENSO on global temperatures. Climate Mon.,17, 80–89.

  • Kushnir, Y., 1994: Interdecadal variations in North Atlantic sea surface temperature and associated atmospheric conditions. J. Climate,7, 141–157.

  • Lemke, P., E. W. Trinkl, and K. Hasselmann, 1980: Stochastic dynamic analysis of polar sea-ice variability. J. Phys. Oceanogr.,10, 2100–2120.

  • Levitus, S., 1982: Climatological Atlas of the World Ocean. NOAA Prof. Paper No. 13, U.S. Govt. Printing Office, 173 pp.

  • Lunkeit, F., R. Sausen, and J. M. Oberhuber, 1996: Climate simulations with the global coupled atmosphere–ocean model ECHAM2/OPYC, Part I: Present-day climate and ENSO events. Climate Dyn.,12, 195–212.

  • Maier-Reimer, E., and U. Mikolajewicz, 1992: The Hamburg large-scale geostrophic ocean general circulation model (cycle 1). DKRZ Tech. Rep. 2, 34 pp. [Available from Max-Planck Institute for Meteorology, Bundesstrasse 55, Hamburg 20146, Germany.].

  • ——, ——, and K. Hasselmann, 1993: Mean circulation of the Hamburg LSG OGCM and its sensitivity to the thermohaline forcing. J. Phys. Oceanogr.,23, 731–757.

  • Manabe, S., and R. J. Stouffer, 1988: Two stable equilibria of a coupled ocean–atmosphere model. J. Climate,1, 841–866.

  • Marotzke, J., 1991: Influence of convective adjustment on the stability of the thermohaline circulation. J. Phys. Oceanogr.,21, 903–907.

  • Mikolajewicz, U., and E. Maier-Reimer, 1990: Internal secular variability in an ocean general circulation model. Climate Dyn.,4, 145–156.

  • ——, and ——, 1994: Mixed boundary conditions in ocean general circulation models and their influence on the stability of the model’s conveyor belt. J. Geophys. Res.,99, 22633–22644.

  • Mitchell, J. F. B., R. A. Davis, W. J. Ingram, and C. A. Senior, 1995: On surface temperature, greenhouse gases, and aerosols: Models and observations. J. Climate,8, 2364–2386.

  • Mork, K. A., and O. Skagseth, 1996: Modelling the ocean response to secular surface temperature transitions. Climate Dyn.,12, 653–666.

  • Oberhuber, J. M., 1988: An atlas based on the COADS dataset: The budgets of heat, buoyancy and turbulent kinetic energy at the surface of the global ocean. MPI Rep. 15, 20 pp. [Available from Max-Planck Institute for Meteorology, Bundesstrasse 55, Hamburg 20146, Germany.].

  • ——, 1993: Simulation of the Atlantic circulation with a coupled sea-ice–mixed layer–isopycnal general circulation model. Part I: Model description. J. Phys. Oceanogr.,23, 808–829.

  • Osborn, T. J., 1995: Internally-generated variability in some ocean models on decadal to millennial timescales. Ph.D. thesis, University of East Anglia, Norwich, United Kingdom, 650 pp.

  • ——, 1996: Comment on “Climate drift in a global ocean general circulation model.” J. Phys. Oceanogr.,26, 1661–1663.

  • Pierce, D. W., T. P. Barnett, and U. Mikolajewicz, 1995: Competing roles of heat and freshwater flux in forcing thermohaline oscillations. J. Phys. Oceanogr.,25, 2046–2064.

  • ——, K.-Y. Kim, and T. P. Barnett, 1996: Variability of the thermohaline circulation in an ocean general circulation model coupled to an atmospheric energy balance model. J. Phys. Oceanogr.,26, 725–738.

  • Power, S. B., 1995: Climate drift in a global ocean general circulation model. J. Phys. Oceanogr.,25, 1025–1036.

  • ——, and R. Kleeman, 1994: Surface heat flux parameterisation and the response of OGCMs to high-latitude freshening. Tellus,46A, 86–95.

  • Rahmstorf, S., 1993: A fast and complete convection scheme for ocean models. Ocean Modelling (unpublished manuscript), 101, 9–11.

  • ——, 1995: Bifurcations of the Atlantic thermohaline circulation in response to changes in the hydrological cycle. Nature,378, 145–149.

  • ——, and J. Willebrand, 1995: The role of temperature feedback in stabilizing the thermohaline circulation. J. Phys. Oceanogr.,25, 787–805.

  • Santer, B. D., K. E. Taylor, T. M. L. Wigley, P. D. Jones, D. J. Karoly, J. F. B. Mitchell, A. H. Oort, J. E. Penner, V. Ramaswamy, M. D. Schwarzkopf, R. J. Stouffer, and S. F. B. Tett, 1996: A search for human influences on the thermal structure of the atmosphere. Nature,382, 39–46.

  • Schlesinger, M. E., and N. Ramankutty, 1994: An oscillation in the global climate system of period 65–70 years. Nature,367, 723–726.

  • Schneider, E. K., and J. L. Kinter III, 1994: An examination of internally generated variability in long climate simulations. Climate Dyn.,10, 181–204.

  • Seager, R., Y. Kushnir, and M. A. Cane, 1995: A note on heat flux boundary conditions for ocean models. J. Phys. Oceanogr.,25, 3219–3230.

  • Stocker, T. F., and L. A. Mysak, 1992: Climatic fluctuations on the century timescale: A review of high-resolution proxy data and possible mechanisms. Clim. Change,20, 227–250.

  • Stommel, H., 1961: Thermohaline convection with two stable regimes of flow. Tellus,13, 224–230.

  • Stouffer, R. J., S. Manabe, and K. Y. Vinnikov, 1994: Model assessment of the role of natural variability in recent global warming. Nature,367, 634–636.

  • Trenberth, K. E., 1990: Recent observed interdecadal climate changes in the Northern Hemisphere. Bull. Amer. Meteor. Soc.,71, 988–993.

  • von Storch, J.-S., 1994: Interdecadal variability in a global coupled model. Tellus,46A, 419–432.

  • Welander, P., 1982: A simple heat-salt oscillator. Dyn. Atmos. Ocean.,6, 233–242.

  • White, W. B., and R. G. Peterson, 1996: An Antarctic Circumpolar Wave in surface pressure, wind, temperature and sea-ice extent. Nature,380, 699–702.

  • Wigley, T. M. L., and S. C. B. Raper, 1990: Natural variability of the climate system and detection of the greenhouse effect. Nature,344, 324–327.

  • ——, and ——, 1991: Detection of the enhanced greenhouse effect on climate. Climate Change: Science, Impacts and Policy, J. Jager, Ed., Cambridge University Press, 231–242.

  • Woodruff, S. D., R. J. Slutz, R. L. Jenne, and P. M. Steurer, 1987: A comprehensive ocean–atmosphere dataset. Bull. Amer. Meteor. Soc.,68, 1239–1250.

  • Zhang, S., R. J. Greatbatch, and C. A. Lin, 1993: A reexamination of the polar halocline catastrophe and implications for coupled ocean–atmosphere modeling. J. Phys. Oceanogr.,23, 287–299.

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