P2C.9
Detection of rotation and boundaries using two-dimensional, local, linear least squares estimates of velocity derivatives
Travis M. Smith, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and K. L. Elmore, G. J. Stumpf, and V. Lakshmanan
Azimuthal and radial shear fields are extracted from single-Doppler radial velocity data using a two-dimensional, local, linear least-squares technique. The presentation shows how these fields are derived as well as how the technique may be applied to detect and assess the properties of storm-scale rotation and boundaries.
We illustrate that this method of calculating the shear properties of a radial velocity field has several practical uses. Since radial velocity fields cannot be easily visualized in three-dimensional space, the scalar azimuthal and radial shear derivatives provide meteorologists with a useful tool for viewing velocity-derived fields that are not radar-relative. These derived quantities may also be easily integrated into a multi-radar mosaic field or used by multi-radar, multi-sensor algorithms. Image processing techniques are employed to isolate features of significance and remove spurious or noisy data.
Poster Session 2C, Retrieval/Algorithm Poster
Thursday, 7 August 2003, 1:30 PM-3:30 PM
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