Advertisement

Geofisica pura e applicata

, Volume 55, Issue 1, pp 133–136 | Cite as

Large scale vertical eddies in the atmosphere and the energy of the mean zonal flow

  • Victor P. Starr
  • Robert E. Dickinson
Article

Summary

The zonal eddy stress across horizontal surfaces due to large scale vertical motions was evaluated for two months from data for the northern hemisphere for a number of levels up to 50 mb. From this information and from the corresponding distributions for each of the two months of the mean zonal winds, the rate of transformation of kinetic energy from eddy to mean zonal form was calculated. The two sets of data gave rather small values for the hemisphere which were of opposite sign.

Keywords

Atmosphere Kinetic Energy Northern Hemisphere Opposite Sign Zonal Wind 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Jensen C. E.:Energy transformation and vertical flux processes over the northern hemisphere. Planetary Circulations Project, Mass. Inst. of Tech., 272 pp. AFCRCTN-60-460 (1960).Google Scholar
  2. Jensen C. E.:Energy transformations and vertical flux processes over the northern hemisphere. Jour. Geo. Res. 66, 1145–1156 (1960).Google Scholar
  3. Molla C. M. &C. J. Loisel:On the hemispheric correlations of vertical and meridional wind components. Geofisica pura e applicata, 51, 166–170 (1962).CrossRefGoogle Scholar
  4. Obasi G. O. P.:Atmospheric momentum and energy calculations for the southern hemisphere during the IGY. Planetary Circulations Project, Mass. Inst. of Tech., 354 pp, AFCRL-62-1128 (1953).Google Scholar

Copyright information

© Istituto Geofisico Italiano 1963

Authors and Affiliations

  • Victor P. Starr
    • 1
  • Robert E. Dickinson
    • 1
  1. 1.Department of MeteorologyMassachusetts Institute of TechnologyCambridge, 39USA

Personalised recommendations