Stochastically forced variability in the Antarctic Circumpolar Current

Journal of Geophysical Research: Oceans

Volumn 104, Issue C5, 1999, Pages 11049-11064

  Weisse, Ralf ^a,c   Mikolajewicz, Uwe ^a   Sterl, Andreas ^b   Drijfhout, Sybren S ^b  

^a MAX PLANCK INSTITUTE FOR METEOROLOGY   (Germany)

^b Koninklijk Nederlands M   (Netherlands)

^c INSTITUTE OF MATERIALS RESEARCH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC FORCING; CURRENT; OCEANIC GENERAL CIRCULATION MODEL; TEMPORAL VARIATION;

ANTARCTIC CIRCUMPOLAR CURRENT; SOUTHERN OCEAN;

EID: 0033562253     PISSN: None     EISSN: 21699291     Source Type: Journal    
DOI: 10.1029/1999jc900040     Document Type: Article

References (33)

1. Arakawa, A., and V.R. Lamb, Computational design of the basic processes of the UCLA general circulation model, Methods Comput. Phys., 17, 173-265, 1977.
2. Arpe, K., L. Bengtsson, and E. Roeckner, The impact of sea surface temperature anomalies on the variability of the atmospheric circulation in the ECHAM3 model, in Research Activities in Atmospheric and Oceanic Modeling, edited by G. Boer, pp. 7.18-7.20, WMO Rep. 18, World Meteorol. Organ., Geneva, 1993.
3. Basher, R.E., and C.S. Thompson, Relationship of air temperatures In New Zealand to regional anomalies in sea surface temperature and atmospheric circulation, Int. J. Climatol., 16, 405-426, 1996.
4. Bonekamp, H., A. Sterl, and G. Komen, Interannual variability in the Southern Ocean from an OGCM forced by ECMWF reanalysis fluxes, J. Geophys. Res., in press, 1999.
5. Christoph, M., T.P. Barnett, and E. Roeckner, The Antarctic circumpolar wave in a coupled ocean-atmosphere GCM, J. Clim., 11, 1659-1672, 1998.
6. Connolley, W.M., Variability in annual mean circulation in southern high latitudes, Clim. Dyn., 13, 745-756, 1997.
7. Frankignoul, C., and R. W. Reynolds, Testing a dynamical model for mid-latitude sea surface temperature anomalies, J. Phys. Oceanogr., 13, 1131-1145, 1983.
8. Gates, W.L., AMIP: The Atmospheric Model Intercomparison Project, Bull. Am. Meteorol. Soc., 73, 1962-1970, 1992.
9. Griffies, S.M., and E. Tziperman, A linear thermohaline oscillator driven by stochastic atmospheric forcing, J. Clim., 8, 2440-2453, 1995.
10. Hasselmann, K., Stochastic climate models, I, Theory, Tellus, 28, 473-485, 1976.
11. Hellerman, S., and M. Rosenstein, Normal monthly wind stress data over the world ocean with error estimates, J. Phys. Oceanogr., 13, 1093-1104, 1983.
12. Jacobs, G.A., and J.L. Mitchell, Ocean circulation variations associated with the Antarctic, Geophys. Res. Lett., 23, 2947-2950, 1996.
13. Lemke, P., E.W. Trinkl, and K. Hasselmann, Stochastic dynamic analysis of polar sea ice variability, J.Phys. Oceanogr, 10, 2100-2120, 1980.
14. Levitus, S., Climatological Atlas of the World Ocean, NOAA Prof. Pap., Vol. 13, U.S. Gov. Print. Off., Washington, D.C., 1982.
15. Maier-Reimer, E., U. Mikolajewicz, and K. Hasselmann, Mean circulation of the Hamburg LSG OGCM and its sensitivity to the thermohaline surface forcing, J. Phys. Oceanogr., 23, 731-757, 1993.
16. Mikolajewicz, U., and E. Maier-Reimer, Mixed boundary conditions in ocean general circulation models and their influence on the stability of the models conveyor belt, J. Geophys. Res., 99, 22633-22644, 1994.
17. Mo, K.C., and G.H. White, Teleconnections in the Southern Hemisphere, Mon. Weather Rev., 113, 22-37, 1985.
18. Murphy, E.J., A. Clarke, C. Symon, and J. Priddle, Temporal variations in Antarctic sea-ice: Analysis of a long term fast-ice record from the South Orkney Islands, Deep Sea Res. Part I, 42, 1045-1062, 1995.
19. Peterson, R.G., and W. B. White, Slow oceanic teleconnections linking the Antarctic Circumpolar Wave with the tropical El Niño-Southern Oscillation, J. Geophys. Res., 103, 24573-24583, 1998.
20. Pratt, R.W., The interpretation of space time spectral quantities, J. Atmos. Sci., 32, 1283-1300, 1976.
21. Qiu, B., and F.F. Jin, Antarctic circumpolar waves: An indication of ocean-atmosphere coupling in the extratropics, Geophys. Res. Lett., 24, 2585-2588, 1997.
22. Roeckner, E., et al., Simulation of the present-day climate with the ECHAM model: Impact of model physics and resolution, MPI Rep. 93, 171 pp., Max-Planck-Inst. für Meteorol., Hamburg, Germany, 1992.
23. Rowell, D.P., Assessing potential seasonal predictability with an ensemble of multi-decadal GCM simulations, J. Clim., 11, 109-120, 1998.
24. Saravanan, R., and J.C. McWilliams, Advective ocean-atmosphere interaction: An analytical stochastic model with implications for decadal variability, J. Clim., 11, 165-188, 1998.
25. Schmitz, W.J., Jr., On the interbasin scale thermohaline circulation, Rev. Geophys., 33, 151-173, 1995.
26. Schnur, R., Baroklin instabile Wellen der Atmosphäre: Empirisch abgeleitete Moden im Vergleich zu quasi-geostrophischer Theorie, Ph.D. thesis, 70 pp., Univ. of Hamburg, Hamburg, Germany, 1993.
27. Schnur, R., G. Schmitz, N. Grieger, and H. von Storch, Normal modes of the atmosphere as estimated by Principal Oscillation Patterns and derived from quasi-geostrophic theory, J. Atmos. Sci., 50, 2386-2400, 1993.
28. UNESCO, Tenth report of the joint panel on oceanographic tables and standards, UNESCO Tech. Pap. Mar. Sci., 36, 25 pp., 1981.
29. von Storch, H., and F. W. Zwiers, Statistical Analysis in Climate Research, pp. 251-260, Cambridge Univ. Press, New York, 1999.
30. von Storch, H., G. Bürger, R. Schnur, and J.S. von Storch, Principal Oscillation Patterns: A review, J. Clim., 8, 377-400, 1995.
31. White, W.B., and R.G. Peterson, An Antarctic Circumpolar Wave in surface pressure, wind, temperature, and sea-ice extent, Nature, 380, 699-702, 1996.
32. Woodruff, S.D., R.J. Slutz, R.L. Jenne, and P.M. Steurer, A comprehensive ocean-atmosphere data set, Bull. Am. Meteorol. Soc., 68, 1239-1250, 1987.
33. Xu, J.S., H. von Storch, and H. van Loon, The performance of four spectral GCMs in the southern hemisphere: The January and July climatology and the semi-annual wave, J. Clim., 3, 54-70, 1990.