The Synthetic Dual-Doppler Analysis Technique

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  • 1 Department of Atmospheric Science, University of Wyoming, Laramie, Wyoming
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Abstract

Synthetic dual-Doppler (SDD) is a single-Doppler analysis technique that combines measurements from two different times, provided the viewing angle changes significantly. In this study, the viability of the SDD technique is investigated through comparisons with dual-Doppler analyses. Three case studies are used for the comparisons: a mature gust front, a supercell thunderstorm, and a developing squall line. An attempt to internally establish the efficacy of SDD analyses is made by examining the temporal correlation of the single-Doppler reflectivity fields and by comparing wind fields derived from similar synthetic analyses.

Results indicate that the SDD technique may be practical for the estimation of mean velocity fields of certain quasi-steady phenomena. The similarity of the SDD and conventional dual-Doppler results were found to be sensitive to the time between the two volume scans used in the SDD analyses, the angle subtended by the event, and the radii of influence of the Cressman weighting function used for the interpolation of the data.

Abstract

Synthetic dual-Doppler (SDD) is a single-Doppler analysis technique that combines measurements from two different times, provided the viewing angle changes significantly. In this study, the viability of the SDD technique is investigated through comparisons with dual-Doppler analyses. Three case studies are used for the comparisons: a mature gust front, a supercell thunderstorm, and a developing squall line. An attempt to internally establish the efficacy of SDD analyses is made by examining the temporal correlation of the single-Doppler reflectivity fields and by comparing wind fields derived from similar synthetic analyses.

Results indicate that the SDD technique may be practical for the estimation of mean velocity fields of certain quasi-steady phenomena. The similarity of the SDD and conventional dual-Doppler results were found to be sensitive to the time between the two volume scans used in the SDD analyses, the angle subtended by the event, and the radii of influence of the Cressman weighting function used for the interpolation of the data.

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