TWO-POINT VARIABILITY OF WIND, VOLUME I

Abstract

The variability of wind at two points is studied in terms of the components of the wind correlation tensor as functions of the relative positions of the point. When the points lie on the same isobaric surface and winds are observed simultaneously, the correlations may be approximate quite simply by an empirical exp8624) (AFCRL 62-889, vol. 1) Unclassified report DESCRIPTORS: *Wind, Tensor analysis, Meteor ology, Altimeters, Surfaces, Analysis of variance. The variability of wind at two points is studied in terms of the components of the wind correlation tensor as functions of the relative positions of the point. When the points lie on the same isobaric surface and winds are observed simultaneously, the correlations may be approximate quite simply by an empirical expression containing the basic errors of observation and intensity of small scale eddies and a size parameter. The variation of the size parameter with isobaric level and season over the northern hemisphere is studied. The simplest form of these correlations is attained when winds are resolved into components along and across the line joining the two points concerned. When the two points are at different levels or the winds are observed at different times (or both), the usual resolution into longitudinal and meridional components presents a simple description. When the two points concerned are separated by less than 100 n mi (more or less), the effect of errors of observation and small scale eddies require different handling. Doppler navigator winds observed at frequent intervals provide information on two-point wind variability down to distances of a few miles and on the structure of meso-scale eddies. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1962
Accession Number
AD0292158

Entities

People

  • C. Eugene Buell

Tags

DTIC Thesaurus Topics

  • Altimeters
  • Analysis Of Variance
  • Hemispheres
  • Intensity
  • Intervals
  • Mathematics
  • Navigators
  • Northern Hemisphere
  • Observation
  • Tensor Analysis
  • Tensors

Readers

  • Calculus or Mathematical Analysis
  • Fluid Dynamics.
  • Regression Analysis.