Confidence interval estimation for YHF doppler radar measurements of wind velocities

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Linear model theory is used to find exact confidence intervals for wind components from radial wind speeds observed using a VHF Doppler radar. The theory is also used to evaluate exact confidence intervals for wind direction. However, exact confidence intervals for wind speeds can only be found where the errors in the two estimated horizontal wind speed components are equal. Thus, in the general case, a Taylor expansion has to be used to give approximate confidence intervals for wind speeds. It is shown that irrespective of the wind vector, the mean confidence interval for the wind components, or the confidence volume of the wind vector, can be minimized by using radar beams with the largest off-vertical angles. However, there is no optimal sounding strategy for the measurement of wind speed or direction that can be defined before making any measurements.

Original languageEnglish
Pages (from-to)2221-2231
Number of pages11
JournalRadio Science
Volume32
Issue number6
DOIs
Publication statusPublished - 1 Nov 1997

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Earth and Planetary Sciences(all)
  • Electrical and Electronic Engineering

Cite this

Confidence interval estimation for YHF doppler radar measurements of wind velocities. / Astin, Ivan.

In: Radio Science, Vol. 32, No. 6, 01.11.1997, p. 2221-2231.

Research output: Contribution to journalArticle

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