Bimodality of the Planetary-Scale Atmospheric Wave Amplitude Index

Bo Christiansen Danish Meteorological Institute, Copenhagen, Denmark

Search for other papers by Bo Christiansen in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The evidence for multiple flow regimes in the planetary-scale atmospheric wave amplitude index (WAI) is studied using the 56 winters from the NCEP reanalysis data. The regimes are identified by bimodality in the probability density estimates. Both the probability density of the WAI alone and the probability density in the two-dimensional space spanned by the WAI and its temporal rate of change are examined. The latter procedure allows us to exploit the quasi stationarity of the regimes and increase the statistical significance. The statistical significance of bimodality in the probability densities is tested by a Monte Carlo approach using surrogate time series that preserve the full autocorrelation spectrum of the original WAI. By using a longer dataset and including the rate of change, some of the questions raised in previous studies about the robustness and statistical significance of the bimodality of the WAI are resolved.

Statistically significant bimodality is found in the WAI based on the 500-hPa height. The probability density of the WAI shows considerable low-frequency variability on decadal scales. However, the bimodality is reproduced in all decadal subperiods although without statistical significance. The last decade has been dominated by a strong (disturbed) regime while a weak (zonal) regime dominates the previous decades. This recent change toward the disturbed regime is statistically significant. Imprints of the regimes are found at other tropospheric levels including the sea level. In particular, the regimes are found with statistical significance in the WAI based on the sea level pressure for the subperiod 1979–2003. Systematically varying the upper and lower boundaries of the latitudinal interval over which the geopotential height is averaged shows that the bimodality of the WAI is rather sensitive to these parameters, but also that statistically significant bimodality is found for a range of intervals with the lower boundary at 45°–50°N.

Corresponding author address: B. Christiansen, Danish Meteorological Institute, Climate Research Division, Lyngbyvej 100, DK-2100 Copenhagen Ø, Denmark. Email: boc@dmi.dk

Abstract

The evidence for multiple flow regimes in the planetary-scale atmospheric wave amplitude index (WAI) is studied using the 56 winters from the NCEP reanalysis data. The regimes are identified by bimodality in the probability density estimates. Both the probability density of the WAI alone and the probability density in the two-dimensional space spanned by the WAI and its temporal rate of change are examined. The latter procedure allows us to exploit the quasi stationarity of the regimes and increase the statistical significance. The statistical significance of bimodality in the probability densities is tested by a Monte Carlo approach using surrogate time series that preserve the full autocorrelation spectrum of the original WAI. By using a longer dataset and including the rate of change, some of the questions raised in previous studies about the robustness and statistical significance of the bimodality of the WAI are resolved.

Statistically significant bimodality is found in the WAI based on the 500-hPa height. The probability density of the WAI shows considerable low-frequency variability on decadal scales. However, the bimodality is reproduced in all decadal subperiods although without statistical significance. The last decade has been dominated by a strong (disturbed) regime while a weak (zonal) regime dominates the previous decades. This recent change toward the disturbed regime is statistically significant. Imprints of the regimes are found at other tropospheric levels including the sea level. In particular, the regimes are found with statistical significance in the WAI based on the sea level pressure for the subperiod 1979–2003. Systematically varying the upper and lower boundaries of the latitudinal interval over which the geopotential height is averaged shows that the bimodality of the WAI is rather sensitive to these parameters, but also that statistically significant bimodality is found for a range of intervals with the lower boundary at 45°–50°N.

Corresponding author address: B. Christiansen, Danish Meteorological Institute, Climate Research Division, Lyngbyvej 100, DK-2100 Copenhagen Ø, Denmark. Email: boc@dmi.dk

Save
  • Cerlini, P B., S. Corti, and S. Tibaldi, 1999: An intercomparison between low-frequency variability indices. Tellus, 51A , 773789.

  • Charney, J G., and J G. Devore, 1979: Multiple flow equilibria in the atmosphere and blocking. J. Atmos. Sci., 36 , 12051216.

  • Cheng, X., and J M. Wallace, 1993: Cluster analysis of the Northern Hemisphere wintertime 500-hPa height field: Spatial patterns. J. Atmos. Sci., 50 , 26742696.

    • Search Google Scholar
    • Export Citation
  • Christiansen, B., 2001: Downward propagation of zonal mean zonal wind anomalies from the stratosphere to the troposphere: Model and reanalysis. J. Geophys. Res., 106 , 2730727322.

    • Search Google Scholar
    • Export Citation
  • Christiansen, B., 2002: On the physical nature of the Arctic Oscillation. Geophys. Res. Lett., 29 .1805, doi:10.1029/2002GL015208.

  • Christiansen, B., 2003: Evidence for nonlinear climate change: Two stratospheric regimes and a regime shift. J. Climate, 16 , 36813689.

    • Search Google Scholar
    • Export Citation
  • Corti, S., F. Molteni, and T N. Palmer, 1999: Signature of recent climate change in frequencies of natural atmospheric circulation regimes. Nature, 398 , 799802.

    • Search Google Scholar
    • Export Citation
  • Ghil, M., and A W. Robertson, 2002: “Waves” vs. “Particles” in the atmosphere’s phase space: A pathway to long-range forecasting? Proc. Natl. Acad. Sci. USA, 99 , 24932500.

    • Search Google Scholar
    • Export Citation
  • Hansen, A R., 1986: Observational characteristics of atmospheric planetary waves with bimodal amplitude distributions. Advances in Geophysics, Vol. 29, Academic Press, 101–133.

  • Hansen, A R., and S. Sutera, 1986: On the probability density distribution of the planetary-scale atmospheric wave amplitude. J. Atmos. Sci., 43 , 32503265.

    • Search Google Scholar
    • Export Citation
  • Hansen, A R., and S. Sutera, 1995: The probability density distribution of the planetary-scale atmospheric wave amplitude revisited. J. Atmos. Sci., 52 , 24632472.

    • Search Google Scholar
    • Export Citation
  • Hsu, C J., and F. Zwiers, 2001: Climate change in recurrent regimes and modes of Northern Hemisphere atmospheric variability. J. Geophys. Res., 106 , 2014520159.

    • Search Google Scholar
    • Export Citation
  • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77 , 437471.

  • Michelangeli, P-A., R. Vautard, and B. Legras, 1995: Weather regimes: Recurrence and quasi stationarity. J. Atmos. Sci., 52 , 12371256.

    • Search Google Scholar
    • Export Citation
  • Monahan, A H., L. Pandolfo, and J. Fyfe, 2001: The preferred structure of variability of the Northern Hemisphere atmospheric circulation. Geophys. Res. Lett., 28 , 10191022.

    • Search Google Scholar
    • Export Citation
  • Nitsche, G., J M. Wallace, and C. Kooperberg, 1994: Is there evidence of multiple equilibria in planetary wave amplitude statistics? J. Atmos. Sci., 51 , 314322.

    • Search Google Scholar
    • Export Citation
  • Palmer, T N., 1999: A nonlinear dynamical perspective on climate change. J. Climate, 12 , 575591.

  • Parker, D E., 1980: Climatic change or analysts’ artifice?—A study of grid-point upper-air data. Meteor. Mag., 109 , 129152.

  • Perlwitz, J., and H-F. Graf, 2001: The variability of the horizontal circulation in the troposphere and stratosphere—A comparison. Theor. Appl. Climatol., 69 , 149161.

    • Search Google Scholar
    • Export Citation
  • Silverman, B W., 1986: Density Estimation for Statistics and Data Analysis. Chapman and Hall, 175 pp.

  • Smyth, P., K. Ide, and M. Ghil, 1999: Multiple regimes in Northern Hemisphere height fields via mixture model clustering. J. Atmos. Sci., 56 , 37043723.

    • Search Google Scholar
    • Export Citation
  • Stephenson, D B., A. Hannachi, and A. O’Neill, 2004: On the existence of multiple climate regimes. Quart. J. Roy. Meteor. Soc., 130 , 583605.

    • Search Google Scholar
    • Export Citation
  • Sutera, A., 1986: Probability density distribution of large-scale atmospheric flow. Advances in Geophysics, Vol. 29, Academic Press, 227–249.

  • Thejll, P., B. Christiansen, and H. Gleisner, 2003: On correlations between the North Atlantic Oscillation, geopotential heights, and geomagnetic activity. Geophys. Res. Lett., 30 .1347, doi:10.1029/2002GL016598.

    • Search Google Scholar
    • Export Citation
  • Wallace, J M., X. Cheng, and D. Sun, 1991: Does low-frequency atmospheric variability exhibit regime-like behavior? Tellus, 43AB , 1626.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 386 225 33
PDF Downloads 74 28 4