The representation of the mean tropospheric flow by satellite-derived cloud-motion vectors is studied for use in a barotropic hurricane prediction model. The systematic use of these vectors is considered over areas not covered by rawinsonde data to aid the initial analysis of the flow pattern. Linear regression analysis is used to develop equations for the pressure-averaged tropospheric flow from data at only 1,2, or 3 levels. The equations are derived from a large sample of rawinsonde observations, used as simulated cloud-motion vectors, from the tropical and subtropical latitudes of the Northern Hemisphere. The performance of the regression equations on independent data is considered, as is the loss of skill when satellite winds are used in the equations instead of rawinsonde winds. The satellite data is applied, in a pilot study, to two operational SANBAR hurricane forecasts, with inconclusive results. /Author/

  • Corporate Authors:

    Massachusetts Institute of Technology

    Department of Ocean Engineering, 77 Massachusetts Avenue
    Cambridge, MA  United States  02139
  • Authors:
    • Adams, A L
    • Sanders, F
  • Publication Date: 1975-12

Media Info

  • Pagination: 60 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00136233
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: AFCRL-TR-75-0635
  • Contract Numbers: F19628-75-C-0059
  • Files: TRIS
  • Created Date: Jul 13 1976 12:00AM