Empirical Master Equations. Part II: Application to Stratospheric QBO, Solar Cycle, and Northern Annular Mode

Mauro Dall’Amico Meteorological Institute of the Ludwig-Maximilians-Universität of Munich, Munich, Germany

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Joseph Egger Meteorological Institute of the Ludwig-Maximilians-Universität of Munich, Munich, Germany

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Abstract

Time series of stratospheric climate variables are used to derive master equations in the discretized phase space spanned by three variables. The empirical master equation (EME) predicts the probability density function (PDF) in this phase space. The numerical properties of EMEs have been investigated in the first part of this paper using synthetic time series. In this part of the paper, the time series consist of normalized and deseasonalized daily and zonally averaged meteorologically relevant quantities obtained from the 40-yr ECMWF Re-Analysis (ERA-40) and observations. One EME reproduces the climatological features of the quasi-biennial oscillation (QBO) of stratospheric equatorial zonal wind including the probabilistic character of transitions between phases. Also, the Arctic stratosphere at 10 hPa is about 2 K warmer during the easterly phase of the QBO than during the westerly phase. Another EME including a time series of the solar radio flux at 10.7 cm hints that the relationship between the QBO and the temperature in the Arctic stratosphere is shifted toward warmer (colder) states by about 1 K during periods of high (low) solar activity. Finally, an EME is derived from time series of variables highly correlated with the northern annular mode (NAM). The EME shows that NAM anomalies in the middle stratosphere propagate into the lower stratosphere and then into the lower troposphere with a time scale of about two and four weeks, respectively. The influence of strong tropospheric NAM anomalies is confined to the lower stratosphere.

* Current affiliation: Walker Institute for Climate System Research, Department of Meteorology, University of Reading, Reading, United Kingdom

Corresponding author address: Dr. M. Dall’Amico, Walker Institute for Climate System Research, Department of Meteorology, University of Reading, P.O. Box 243, Earley Gate, Reading RG6 6BB, United Kingdom. Email: m.dallamico@reading.ac.uk

Abstract

Time series of stratospheric climate variables are used to derive master equations in the discretized phase space spanned by three variables. The empirical master equation (EME) predicts the probability density function (PDF) in this phase space. The numerical properties of EMEs have been investigated in the first part of this paper using synthetic time series. In this part of the paper, the time series consist of normalized and deseasonalized daily and zonally averaged meteorologically relevant quantities obtained from the 40-yr ECMWF Re-Analysis (ERA-40) and observations. One EME reproduces the climatological features of the quasi-biennial oscillation (QBO) of stratospheric equatorial zonal wind including the probabilistic character of transitions between phases. Also, the Arctic stratosphere at 10 hPa is about 2 K warmer during the easterly phase of the QBO than during the westerly phase. Another EME including a time series of the solar radio flux at 10.7 cm hints that the relationship between the QBO and the temperature in the Arctic stratosphere is shifted toward warmer (colder) states by about 1 K during periods of high (low) solar activity. Finally, an EME is derived from time series of variables highly correlated with the northern annular mode (NAM). The EME shows that NAM anomalies in the middle stratosphere propagate into the lower stratosphere and then into the lower troposphere with a time scale of about two and four weeks, respectively. The influence of strong tropospheric NAM anomalies is confined to the lower stratosphere.

* Current affiliation: Walker Institute for Climate System Research, Department of Meteorology, University of Reading, Reading, United Kingdom

Corresponding author address: Dr. M. Dall’Amico, Walker Institute for Climate System Research, Department of Meteorology, University of Reading, P.O. Box 243, Earley Gate, Reading RG6 6BB, United Kingdom. Email: m.dallamico@reading.ac.uk

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  • Ambaum, M. H. P., and B. J. Hoskins, 2002: The NAO troposphere–stratosphere connection. J. Climate, 15 , 19691978.

  • Baldwin, M. P., and T. J. Dunkerton, 1999: Propagation of the Arctic Oscillation from the stratosphere to the troposphere. J. Geophys. Res., 104 , 3093730946.

    • Search Google Scholar
    • Export Citation
  • Baldwin, M. P., and T. J. Dunkerton, 2001: Stratospheric harbingers of anomalous weather regimes. Science, 294 , 581584.

  • Baldwin, M. P., and Coauthors, 2001: The quasi-biennial oscillation. Rev. Geophys., 39 , 179230.

  • Baldwin, M. P., D. B. Stephenson, D. W. J. Thompson, T. J. Dunkerton, A. J. Charlton, and A. O’Neill, 2003: Stratospheric memory and skill of extended-range weather forecasts. Science, 301 , 636640.

    • Search Google Scholar
    • Export Citation
  • Black, R. X., 2002: Stratospheric forcing of surface climate in the Arctic Oscillation. J. Climate, 15 , 268277.

  • Cencini, M., G. Lacorata, A. Vulpiani, and E. Zambianchi, 1999: Mixing in a meandering jet: A Markovian approximation. J. Phys. Oceanogr., 29 , 25782594.

    • Search Google Scholar
    • Export Citation
  • Coughlin, K., and K-K. Tung, 2001: QBO Signal found at the extratropical surface through northern annular modes. Geophys. Res. Lett., 28 , 45634566.

    • Search Google Scholar
    • Export Citation
  • Crommelin, D. T., 2004: Observed nondiffusive dynamics in large-scale atmospheric flow. J. Atmos. Sci., 61 , 23842396.

  • Crooks, S. A., and L. J. Gray, 2005: Characterization of the 11-year solar signal using a multiple regression analysis of the ERA-40 dataset. J. Climate, 18 , 9961015.

    • Search Google Scholar
    • Export Citation
  • Dall’Amico, M., 2005: Data-based master equations for the stratosphere. Ph.D. thesis, Ludwig-Maximilians-Universität of Munich, 71 pp. [Available online at http://edoc.ub.uni-muenchen.de/archive/00003890/.].

  • Dall’Amico, M., and J. Egger, 2007: Empirical master equations. Part I: Numerical properties. J. Atmos. Sci., 64 , 29812995.

  • Dunkerton, T. J., and D. P. Delisi, 1985: Climatology of the equatorial lower stratosphere. J. Atmos. Sci., 42 , 376396.

  • Egger, J., 1996: Comments on “On the ‘downward control’ of extratropical diabatic circulations by eddy-induced mean zonal forces.”. J. Atmos. Sci., 53 , 21032104.

    • Search Google Scholar
    • Export Citation
  • Egger, J., 2001: Master equations for climatic parameter sets. Climate Dyn., 18 , 169177.

  • Fraedrich, K., 1988: El Niño–Southern Oscillation predictability. Mon. Wea. Rev., 116 , 10011012.

  • Gray, L. J., S. Crooks, C. Pascoe, S. Sparrow, and M. Palmer, 2004: Solar and QBO influences on the timing of stratospheric sudden warmings. J. Atmos. Sci., 61 , 27772796.

    • Search Google Scholar
    • Export Citation
  • Haynes, P. H., 2005: Stratospheric dynamics. Annu. Rev. Fluid Mech., 37 , 263293.

  • Haynes, P. H., C. J. Marks, M. E. McIntyre, T. G. Shepherd, and K. P. Shine, 1991: On the “downward control” of extratropical diabatic circulations by eddy-induced mean zonal forces. J. Atmos. Sci., 48 , 651678.

    • Search Google Scholar
    • Export Citation
  • Haynes, P. H., M. E. McIntyre, and T. G. Shepherd, 1996: Reply. J. Atmos. Sci., 53 , 21052107.

  • Holton, J. R., and H-C. Tan, 1980: The influence of the equatorial quasi-biennial oscillation on the global circulation at 50 mb. J. Atmos. Sci., 37 , 22002208.

    • Search Google Scholar
    • Export Citation
  • Houghton, J. T., Y. Ding, D. J. Griggs, M. Noguer, P. J. van der Linden, X. Dai, K. Maskell, and C. A. Johnson, 2001: Climate Change 2001: The Scientific Basis. Cambridge University Press, 881 pp.

    • Search Google Scholar
    • Export Citation
  • Labitzke, K., 1987: Sunspots, the QBO, and the stratospheric temperature in the north polar region. Geophys. Res. Lett., 14 , 535537.

  • Labitzke, K., 2001: The global signal of the 11-year sunspot cycle in the stratosphere: Differences between solar maxima and minima. Meteor. Z., 10 , 8390.

    • Search Google Scholar
    • Export Citation
  • Labitzke, K., 2004: On the signal of the 11-year sunspot cycle in the stratosphere and its modulation by the quasi-biennial oscillation. J. Atmos. Sol. Terr. Phys., 66 , 11511157.

    • Search Google Scholar
    • Export Citation
  • Labitzke, K., and H. van Loon, 1999: The Stratosphere: Phenomena, History, and Relevance. Springer, 179 pp.

  • Lean, J., 2005: Living with a variable sun. Phys. Today, 58 , 3238.

  • Lorenz, E. N., 1951: Seasonal and irregular variations of the Northern Hemisphere sea-level pressure profile. J. Meteor., 8 , 5259.

  • Lorenz, E. N., 1963: Deterministic nonperiodic flow. J. Atmos. Sci., 20 , 130141.

  • Pasmanter, R. A., and A. Timmermann, 2002: Cyclic Markov chains with an application to an intermediate ENSO model. Nonlinear Proc. Geophys., 10 , 197210.

    • Search Google Scholar
    • Export Citation
  • Qian, B., J. Corte-Real, and H. Xu, 2000: Is the North Atlantic Oscillation the most important atmospheric pattern for precipitation in Europe? J. Geophys. Res., 105 , 1190111910.

    • Search Google Scholar
    • Export Citation
  • Reed, R. J., W. J. Campbell, L. A. Rasmussen, and D. G. Rogers, 1961: Evidence of the downward-propagating annual wind reversal in the equatorial stratosphere. J. Geophys. Res., 66 , 813818.

    • Search Google Scholar
    • Export Citation
  • Rind, D., 2002: The sun’s role in climate variations. Science, 296 , 673677.

  • Salby, M., and P. Callaghan, 2000: Connection between the solar cycle and the QBO: The missing link. J. Climate, 13 , 328338.

  • Salby, M., and P. Callaghan, 2002: Evidence of the solar cycle in the general circulation of the stratosphere. J. Climate, 17 , 3446.

  • Schönwiese, C. D., 1985: Praktische Statistik für Meteorologen und Geowissenschaftler. 2d ed. Gebrüder Borntraeger, 231 pp.

  • Spekat, A., B. Heller-Schulze, and M. Lutz, 1983: Über Großwetter und Markov-Ketten (“Großwetter” circulation analysed by means of Markov chains). Meteor. Rundsch., 36 , 243248.

    • Search Google Scholar
    • Export Citation
  • Stolarski, R. S., P. Bloomfield, R. D. McPeters, and J. R. Herman, 1991: Total ozone trends deduced from Nimbus 7 TOMS data. Geophys. Res. Lett., 18 , 10151018.

    • Search Google Scholar
    • Export Citation
  • Thompson, D. W. J., and J. M. Wallace, 1998: The Arctic Oscillation signature in wintertime geopotential height and temperature fields. Geophys. Res. Lett., 25 , 12971300.

    • Search Google Scholar
    • Export Citation
  • Thompson, D. W. J., and J. M. Wallace, 2000: Annular modes in the extratropical circulation. Part I: Month-to-month variability. J. Climate, 13 , 10001016.

    • Search Google Scholar
    • Export Citation
  • Thompson, D. W. J., and J. M. Wallace, 2001: Regional climate impacts of the Northern Hemisphere annular mode. Science, 293 , 8589.

  • Thompson, D. W. J., M. P. Baldwin, and J. M. Wallace, 2002: Stratospheric connection to Northern Hemisphere wintertime weather: Implications for predictions. J. Climate, 15 , 14211428.

    • Search Google Scholar
    • Export Citation
  • Uppala, S. M., and Coauthors, 2005: The ERA-40 re-analysis. Quart. J. Roy. Meteor. Soc., 131 , 29613012.

  • Veryard, R. G., and R. A. Ebdon, 1961: Fluctuations in tropical stratospheric winds. Meteor. Mag., 90 , 125143.

  • Wallace, J. M., 2000: North Atlantic Oscillation/annular mode: Two paradigms—One phenomenon. Quart. J. Roy. Meteor. Soc., 126A , 791805.

    • Search Google Scholar
    • Export Citation
  • Zwanzig, R., 2001: Nonequilibrium Statistical Mechanics. Oxford University Press, 222 pp.

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