The Tornadic Vortex Signature: An UpdateSource: Weather and Forecasting:;2012:;volume( 027 ):;issue: 002::page 525DOI: 10.1175/WAF-D-11-00111.1Publisher: American Meteorological Society
Abstract: tornadic vortex signature (TVS) is a degraded Doppler velocity signature of a tornado that occurs when the core region of a tornado is smaller than the half-power beamwidth of the sampling Doppler radar. Soon after the TVS was discovered in the mid-1970s, simulations were conducted to verify that the signature did indeed represent a tornado. The simulations, which used a uniform reflectivity distribution across a Rankine vortex model, indicated that the extreme positive and negative Doppler velocity values of the signature should be separated by about one half-power beamwidth regardless of tornado size or strength. For a Weather Surveillance Radar-1988 Doppler (WSR-88D) with an effective half-power beamwidth of approximately 1.4° and data collected at 1.0° azimuthal intervals, the two extreme Doppler velocity values should be separated by 1.0°. However, with the recent advent of 0.5° azimuthal sampling (?superresolution?) by WSR-88Ds at lower elevation angles, some of the extreme Doppler velocity values unexpectedly were found to be separated by 0.5° instead of 1.0° azimuthal intervals. To understand this dilemma, the choice of vortex model and reflectivity profile is investigated. It is found that the choice of vortex model does not have a significant effect on the simulation results. However, using a reflectivity profile with a minimum at the vortex center does make a difference. The revised simulations indicate that it is possible for the distance between the peak Doppler velocity values of a TVS to be separated by 0.5° with superresolution data collection.
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contributor author | Brown, Rodger A. | |
contributor author | Wood, Vincent T. | |
date accessioned | 2017-06-09T17:35:49Z | |
date available | 2017-06-09T17:35:49Z | |
date copyright | 2012/04/01 | |
date issued | 2012 | |
identifier issn | 0882-8156 | |
identifier other | ams-87807.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4231517 | |
description abstract | tornadic vortex signature (TVS) is a degraded Doppler velocity signature of a tornado that occurs when the core region of a tornado is smaller than the half-power beamwidth of the sampling Doppler radar. Soon after the TVS was discovered in the mid-1970s, simulations were conducted to verify that the signature did indeed represent a tornado. The simulations, which used a uniform reflectivity distribution across a Rankine vortex model, indicated that the extreme positive and negative Doppler velocity values of the signature should be separated by about one half-power beamwidth regardless of tornado size or strength. For a Weather Surveillance Radar-1988 Doppler (WSR-88D) with an effective half-power beamwidth of approximately 1.4° and data collected at 1.0° azimuthal intervals, the two extreme Doppler velocity values should be separated by 1.0°. However, with the recent advent of 0.5° azimuthal sampling (?superresolution?) by WSR-88Ds at lower elevation angles, some of the extreme Doppler velocity values unexpectedly were found to be separated by 0.5° instead of 1.0° azimuthal intervals. To understand this dilemma, the choice of vortex model and reflectivity profile is investigated. It is found that the choice of vortex model does not have a significant effect on the simulation results. However, using a reflectivity profile with a minimum at the vortex center does make a difference. The revised simulations indicate that it is possible for the distance between the peak Doppler velocity values of a TVS to be separated by 0.5° with superresolution data collection. | |
publisher | American Meteorological Society | |
title | The Tornadic Vortex Signature: An Update | |
type | Journal Paper | |
journal volume | 27 | |
journal issue | 2 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/WAF-D-11-00111.1 | |
journal fristpage | 525 | |
journal lastpage | 530 | |
tree | Weather and Forecasting:;2012:;volume( 027 ):;issue: 002 | |
contenttype | Fulltext |