Detection of the Presence of Tornadoes at the Center of Mesocyclones Using Simulated Doppler Velocity Measurements

Rodger A. Brown NOAA/National Severe Storms Laboratory, Norman, Oklahoma

Search for other papers by Rodger A. Brown in
Current site
Google Scholar
PubMed
Close
and
Vincent T. Wood NOAA/National Severe Storms Laboratory, Norman, Oklahoma

Search for other papers by Vincent T. Wood in
Current site
Google Scholar
PubMed
Close
Restricted access

We are aware of a technical issue preventing figures and tables from showing in some newly published articles in the full-text HTML view.
While we are resolving the problem, please use the online PDF version of these articles to view figures and tables.

Abstract

Simulations were conducted to investigate the detection of the Doppler velocity tornado signature (TS) and tornadic vortex signature (TVS) when a tornado is located at the center of the parent mesocyclone. Whether the signature is a TS or TVS depends on whether the tornado’s core diameter is greater than or less than the radar’s effective beamwidth, respectively. The investigation included three radar effective beamwidths, two mesocyclones, and six different-sized tornadoes, each of which had 10 different maximum tangential velocities assigned to it to represent a variety of strengths. The concentric tornadoes and mesocyclones were positioned 10–150 km from the radar. The results indicate that 1) azimuthal shear at the center of the mesocyclone increases as the associated tornado gains strength before a TS or TVS appears, 2) smaller tornadoes need to be much stronger than larger tornadoes at a given range for a signature to appear within the mesocyclone, and 3) when the tornado diameter is wider than about one-quarter of the mesocyclone diameter, the TS or TVS associated with a given mesocyclone appears when the tornado has attained about the same strength regardless of range.

Corresponding author address: Dr. Rodger A. Brown, NOAA/National Severe Storms Laboratory, 120 David L. Boren Blvd., Norman, OK 73072. E-mail: rodger.brown@noaa.gov

Abstract

Simulations were conducted to investigate the detection of the Doppler velocity tornado signature (TS) and tornadic vortex signature (TVS) when a tornado is located at the center of the parent mesocyclone. Whether the signature is a TS or TVS depends on whether the tornado’s core diameter is greater than or less than the radar’s effective beamwidth, respectively. The investigation included three radar effective beamwidths, two mesocyclones, and six different-sized tornadoes, each of which had 10 different maximum tangential velocities assigned to it to represent a variety of strengths. The concentric tornadoes and mesocyclones were positioned 10–150 km from the radar. The results indicate that 1) azimuthal shear at the center of the mesocyclone increases as the associated tornado gains strength before a TS or TVS appears, 2) smaller tornadoes need to be much stronger than larger tornadoes at a given range for a signature to appear within the mesocyclone, and 3) when the tornado diameter is wider than about one-quarter of the mesocyclone diameter, the TS or TVS associated with a given mesocyclone appears when the tornado has attained about the same strength regardless of range.

Corresponding author address: Dr. Rodger A. Brown, NOAA/National Severe Storms Laboratory, 120 David L. Boren Blvd., Norman, OK 73072. E-mail: rodger.brown@noaa.gov
Save
  • Bluestein, H. B., Weiss C. C. , French M. M. , Holthaus E. M. , Tanamachi R. L. , Frasier S. , and Pazmany A. L. , 2007: The structure of tornadoes near Attica, Kansas, on 12 May 2004: High-resolution, mobile, Doppler radar observations. Mon. Wea. Rev., 135, 475506, doi:10.1175/MWR3295.1.

    • Search Google Scholar
    • Export Citation
  • Brown, R. A., 1998: Nomogram for aiding the interpretation of tornadic vortex signatures measured by Doppler radar. Wea. Forecasting, 13, 505512, doi:10.1175/1520-0434(1998)013<0505:NFATIO>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Brown, R. A., and Wood V. T. , 2012: The tornadic vortex signature: An update. Wea. Forecasting, 27, 525530, doi:10.1175/WAF-D-11-00111.1.

    • Search Google Scholar
    • Export Citation
  • Brown, R. A., Lemon L. R. , and Burgess D. W. , 1978: Tornado detection by pulsed Doppler radar. Mon. Wea. Rev., 106, 2938, doi:10.1175/1520-0493(1978)106<0029:TDBPDR>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Brown, R. A., Wood V. T. , and Sirmans D. , 2002: Improved tornado detection using simulated and actual WSR-88D data with enhanced resolution. J. Atmos. Oceanic Technol., 19, 17591771, doi:10.1175/1520-0426(2002)019<1759:ITDUSA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Davies-Jones, R. P., 1986: Tornado dynamics. Thunderstorm Morphology and Dynamics, 2nd ed., E. Kessler, Ed., University of Oklahoma Press, 197–236.

  • Doviak, R. J., and Zrnić D. S. , 1993: Doppler Radar and Weather Observations. 2nd ed. Academic Press, 562 pp.

  • Dowell, D. C., Alexander C. R. , Wurman J. M. , and Wicker L. J. , 2005: Centrifuging of hydrometeors and debris in tornadoes: Radar reflectivity patterns and wind-measurement errors. Mon. Wea. Rev., 133, 15011524, doi:10.1175/MWR2934.1.

    • Search Google Scholar
    • Export Citation
  • Heinselman, P. L., Priegnitz D. L. , Manross K. L. , Smith T. M. , and Adams R. W. , 2008: Rapid sampling of severe storms by the National Weather Radar Testbed Phased Array Radar. Wea. Forecasting, 23, 808824, doi:10.1175/2008WAF2007071.1.

    • Search Google Scholar
    • Export Citation
  • Hopf, A. P., Salazar J. L. , Medina R. , Venkatesh V. , Knapp E. J. , Frasier S. J. , and McLaughlin D. J. , 2009: CASA Phased Array Radar System description, simulation and products. Proc. Int. Geoscience and Remote Sensing Symp., Cape Town, South Africa, IEEE, II-968–II-971.

  • Kosiba, K., and Wurman J. , 2010: The three-dimensional axisymmetric wind field structure of the Spencer, South Dakota, 1998 tornado. J. Atmos. Sci., 67, 30743083, doi:10.1175/2010JAS3416.1.

    • Search Google Scholar
    • Export Citation
  • Markowski, P., and Richardson Y. , 2010: Mesoscale Meteorology in Midlatitudes. Advancing Weather and Climate Science Series, Wiley-Blackwell, 407 pp.

  • Wakimoto, R. M., Atkins N. T. , and Wurman J. , 2011: The LaGrange tornado during VORTEX2. Part I: Photogrammetric analysis of the tornado combined with single-Doppler radar data. Mon. Wea. Rev., 139, 22332258, doi:10.1175/2010MWR3568.1.

    • Search Google Scholar
    • Export Citation
  • Wood, V. T., and Brown R. A. , 1997: Effects of radar sampling on single-Doppler velocity signatures of mesocyclones and tornadoes. Wea. Forecasting, 12, 928938, doi:10.1175/1520-0434(1997)012<0928:EORSOS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Wood, V. T., and Brown R. A. , 2011: Simulated tornadic vortex signatures of tornado-like vortices having one- and two-celled structures. J. Appl. Meteor. Climatol., 50, 23382342, doi:10.1175/JAMC-D-11-0118.1.

    • Search Google Scholar
    • Export Citation
  • Wood, V. T., Brown R. A. , and Dowell D. C. , 2009: Simulated WSR-88D velocity and reflectivity signatures of numerically modeled tornadoes. J. Atmos. Oceanic Technol., 26, 876893, doi:10.1175/2008JTECHA1181.1.

    • Search Google Scholar
    • Export Citation
  • Wurman, J., and Gill S. , 2000: Finescale radar observations of the Dimmitt, Texas (2 June 1995), tornado. Mon. Wea. Rev., 128, 21352164, doi:10.1175/1520-0493(2000)128<2135:FROOTD>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Wurman, J., and Alexander C. , 2004: Scales of motion in tornadoes: What radars cannot see, what scale circulation is a tornado. Preprints, 22nd Conf. on Severe Local Storms, Hyannis, MA, Amer. Meteor. Soc., P11.6. [Available online at https://ams.confex.com/ams/pdfpapers/82353.pdf.]

  • Wurman, J., and Kosiba K. , 2013: Finescale radar observations of tornado and mesocyclone structures. Wea. Forecasting, 28, 11571174, doi:10.1175/WAF-D-12-00127.1.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 435 230 132
PDF Downloads 146 42 3