Back to Search Start Over

An Analysis of Vortices Embedded within a Quasi-Linear Convective System Using X-Band Polarimetric Radar.

Authors :
MAHALE, VLVEK N.
BROTZGE, JERALD A.
BLUESTEIN, HOWARD B.
Source :
Weather & Forecasting. Dec2012, Vol. 27 Issue 6, p1520-1537. 18p. 1 Diagram, 1 Graph, 16 Maps.
Publication Year :
2012

Abstract

On 2 April 2010, a developing quasi-linear convective system (QLCS) moved rapidly northeastward through central Oklahoma spawning at least three intense, mesoscale vortices. At least two of these vortices caused damage rated as category 0 to 1 on the enhanced Fujita scale (EF0-EF1) in and near the town of Rush Springs. Two radar networks--the National Weather Service Weather Surveillance Radar-1988 Doppler network (WSR-88D) and the Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) radar network--collected high spatial and temporal resolution data of the event. This study is an in-depth polarimetric analysis of mesovortices within a QLCS. In this case study, the storm development and evolution of the QLCS mesovortices are examined. Significant findings include the following: 1) The damage in Rush Springs was caused by a combination of the fast translation speed and the embedded circulations associated with QLCS vortices. The vortices' relative winds nearly negated the storm motion to the left of the vortex, but doubled the ground-relative wind to the right of the vortex. 2) A significant differential reflectivity (ZDR) arc developed along the forward flank of the first vortex. The ZDR arc propagated northeastward along the QLCS with the development of each new vortex. 3) A minimum in the copolar correlation coefficient (phv) in the center of the strongest vortex was observed, indicating the likely existence of a polarimetric tornado debris signature (TDS). A secondary Phv minimum also was found just to the right of the vortex center, possibly associated with lofted debris from straight-line winds. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08828156
Volume :
27
Issue :
6
Database :
Academic Search Index
Journal :
Weather & Forecasting
Publication Type :
Academic Journal
Accession number :
84577027
Full Text :
https://doi.org/10.1175/WAF-D-11-00135.1