A Stochastic Model for the Angular Momentum Budget of Latitude Belts

Joseph Egger Meteorologisches Institut, Universität München, Munich, Germany

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Abstract

The stochastic model of Weickmann et al. for the global angular momentum budget is modified to become applicable to latitude belts. In particular, a Langevin equation is added for the flux divergence of angular momentum in a belt. The friction torque Tf is assumed to be purely damping with respect to angular momentum M. The mountain torque To is generated by red noise but also damps angular momentum directly as suggested by recent stochastic models. The model parameters are tuned such that the variances of all model variables come close to the observations. The corresponding equations for the covariance functions of all variables are solved analytically. The results are compared to observations for selected belts. It is found that the model captures the observed decay rates of all covariance functions. The covariance of the flux divergence and the angular momentum is simulated successfully for positive lags but rarely for negative ones. The covariance of friction torque and angular momentum is reproduced reasonably well. The model is also successful with respect to the covariance of mountain torque and M in the Tropics, but there are large discrepancies at midlatitudes because the observed mountain torque events are accompanied by flux divergences in these belts.

Corresponding author address: Joseph Egger, Meteorologisches Institut der Universität München, Theresienstr. 37, 80333 Munich, Germany. Email: j.egger@LRZ.uni-muenchen.de

Abstract

The stochastic model of Weickmann et al. for the global angular momentum budget is modified to become applicable to latitude belts. In particular, a Langevin equation is added for the flux divergence of angular momentum in a belt. The friction torque Tf is assumed to be purely damping with respect to angular momentum M. The mountain torque To is generated by red noise but also damps angular momentum directly as suggested by recent stochastic models. The model parameters are tuned such that the variances of all model variables come close to the observations. The corresponding equations for the covariance functions of all variables are solved analytically. The results are compared to observations for selected belts. It is found that the model captures the observed decay rates of all covariance functions. The covariance of the flux divergence and the angular momentum is simulated successfully for positive lags but rarely for negative ones. The covariance of friction torque and angular momentum is reproduced reasonably well. The model is also successful with respect to the covariance of mountain torque and M in the Tropics, but there are large discrepancies at midlatitudes because the observed mountain torque events are accompanied by flux divergences in these belts.

Corresponding author address: Joseph Egger, Meteorologisches Institut der Universität München, Theresienstr. 37, 80333 Munich, Germany. Email: j.egger@LRZ.uni-muenchen.de

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  • Carnevale, G., and J. Frederiksen, 1987: Nonlinear stability and statistical mechanics of flow over topography. J. Fluid Mech., 175 , 157–181.

    • Search Google Scholar
    • Export Citation
  • Egger, J., 2002: A simple model of the global angular momentum budget. Meteor. Z., 11 , 129–133.

  • Egger, J., and K-P. Hoinka, 2002: Covariance analysis of the global atmospheric axial angular momentum budget. Mon. Wea. Rev., 130 , 1063–1070.

    • Search Google Scholar
    • Export Citation
  • Egger, J., and K-P. Hoinka, 2005: Torques and the related meridional and vertical fluxes of angular momentum. Mon. Wea. Rev., 133 , 621–633.

    • Search Google Scholar
    • Export Citation
  • Feldstein, S., and S. Lee, 1998: Is the atmospheric zonal index driven by an eddy feedback? J. Atmos. Sci., 55 , 3077–3086.

  • Frederiksen, J., and B. Sawford, 1980: Statistical dynamics of two-dimensional inviscid flow on a sphere. J. Atmos. Sci., 37 , 717–732.

    • Search Google Scholar
    • Export Citation
  • Gardiner, C., 1982: Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences. Springer Berlin, 442 pp.

  • Gibson, R., P. KÃ¥llberg, S. Uppala, A. Hernandez, A. Nomura, and E. Serrano, 1997: ERA description. ECMWF Reanalysis Project Rep. Series 1, ECMWF, 86 pp. [Available from ECMWF, Shinfield Park, Reading RGZ 9AX, United Kingdom.].

  • Kim, H-K., and S. Lee, 2004: The wave–zonal mean flow interaction in the Southern Hemisphere. J. Atmos. Sci., 61 , 1055–1067.

    • Search Google Scholar
    • Export Citation
  • Lorenz, D., and D. Hartmann, 2001: Eddy-zonal flow feedback in the Southern Hemisphere. J. Atmos. Sci., 58 , 3312–3327.

  • Lorenz, E., 1967: The Nature and Theory of the General Circulation of the Atmosphere. World Meteorological Organization, 161 pp.

  • Majda, A., I. Timofeyev, and E. Vanden Eijnden, 1999: Models for stochastic climate prediction. Proc. Natl. Acad. Sci., 96 , 14687–14691.

    • Search Google Scholar
    • Export Citation
  • Majda, A., I. Timofeyev, and E. Vanden Eijnden, 2003: Systematic strategies for stochastic mode reduction in climate. J. Atmos. Sci., 60 , 1705–1722.

    • Search Google Scholar
    • Export Citation
  • Peixoto, J., and A. Oort, 1992: Physics of Climate. American Institute of Physics, 520 pp.

  • Weickmann, K., W. Robinson, and C. Penland, 2000: Stochastic and oscillatory forcing of global atmospheric angular momentum. J. Geophys. Res., 105 , 15543–15557.

    • Search Google Scholar
    • Export Citation
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