Simulated WSR-88D Velocity and Reflectivity Signatures of Numerically Modeled Tornadoes

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
,
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
David C. Dowell NOAA/National Severe Storms Laboratory, and Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma

Search for other papers by David C. Dowell in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Low-altitude radar reflectivity measurements of tornadoes sometimes reveal a donut-shaped signature (low-reflectivity eye surrounded by a high-reflectivity annulus) and at other times reveal a high-reflectivity knob associated with the tornado. The differences appear to be due to such factors as (i) the radar’s sampling resolution, (ii) the presence or absence of lofted debris and a low-reflectivity eye, (iii) whether measurements were made within the lowest few hundred meters where centrifuged hydrometeors and smaller debris particles were recycled back into the tornadic circulation, and (iv) the presence or absence of multiple vortices in the parent tornado.

To explore the influences of some of these various factors on radar reflectivity and Doppler velocity signatures, a high-resolution tornado numerical model was used that incorporated the centrifuging of hydrometeors. A model reflectivity field was computed from the resulting concentration of hydrometeors. Then, the model reflectivity and velocity fields were scanned by a simulated Weather Surveillance Radar-1988 Doppler (WSR-88D) using both the legacy resolution and the new super-resolution sampling. Super-resolution reflectivity and Doppler velocity data are displayed at 0.5° instead of 1.0° azimuthal sampling intervals and reflectivity data are displayed at 0.25-km instead of 1.0-km range intervals.

Since a mean Doppler velocity value is the reflectivity-weighted mean of the radial motion of all the radar scatterers within a radar beam, a nonuniform distribution of scatterers produces a different mean Doppler velocity value than does a uniform distribution of scatterers. Nonuniform reflectivities within the effective resolution volume of the radar beam can bias the indicated size and strength of the tornado’s core region within the radius of the peak tangential velocities. As shown in the simulation results, the Doppler-indicated radius of the peak wind underestimates the true radius and true peak tangential velocity when the effective beamwidth is less than the tornado’s core diameter and there is a weak-reflectivity eye at the center of the tornado. As the beam becomes significantly wider than the tornado’s core diameter with increasing range, the peaks of the Doppler velocity profiles continue to decrease in magnitude but overestimate the tornado’s true radius. With increasing range from the radar, the prominence of the weak-reflectivity eye at the center of the tornado is progressively lessened until it finally disappears. As to be expected, the Doppler velocity signatures and reflectivity eye signatures were more prominent and stronger with super-resolution sampling than those with legacy-resolution sampling.

* Current affiliation: National Center for Atmospheric Research, Boulder, Colorado.

Corresponding author address: Vincent Wood, NOAA/National Severe Storms Laboratory, 120 David L. Boren Blvd., Norman, OK 73072. Email: vincent.wood@noaa.gov

Abstract

Low-altitude radar reflectivity measurements of tornadoes sometimes reveal a donut-shaped signature (low-reflectivity eye surrounded by a high-reflectivity annulus) and at other times reveal a high-reflectivity knob associated with the tornado. The differences appear to be due to such factors as (i) the radar’s sampling resolution, (ii) the presence or absence of lofted debris and a low-reflectivity eye, (iii) whether measurements were made within the lowest few hundred meters where centrifuged hydrometeors and smaller debris particles were recycled back into the tornadic circulation, and (iv) the presence or absence of multiple vortices in the parent tornado.

To explore the influences of some of these various factors on radar reflectivity and Doppler velocity signatures, a high-resolution tornado numerical model was used that incorporated the centrifuging of hydrometeors. A model reflectivity field was computed from the resulting concentration of hydrometeors. Then, the model reflectivity and velocity fields were scanned by a simulated Weather Surveillance Radar-1988 Doppler (WSR-88D) using both the legacy resolution and the new super-resolution sampling. Super-resolution reflectivity and Doppler velocity data are displayed at 0.5° instead of 1.0° azimuthal sampling intervals and reflectivity data are displayed at 0.25-km instead of 1.0-km range intervals.

Since a mean Doppler velocity value is the reflectivity-weighted mean of the radial motion of all the radar scatterers within a radar beam, a nonuniform distribution of scatterers produces a different mean Doppler velocity value than does a uniform distribution of scatterers. Nonuniform reflectivities within the effective resolution volume of the radar beam can bias the indicated size and strength of the tornado’s core region within the radius of the peak tangential velocities. As shown in the simulation results, the Doppler-indicated radius of the peak wind underestimates the true radius and true peak tangential velocity when the effective beamwidth is less than the tornado’s core diameter and there is a weak-reflectivity eye at the center of the tornado. As the beam becomes significantly wider than the tornado’s core diameter with increasing range, the peaks of the Doppler velocity profiles continue to decrease in magnitude but overestimate the tornado’s true radius. With increasing range from the radar, the prominence of the weak-reflectivity eye at the center of the tornado is progressively lessened until it finally disappears. As to be expected, the Doppler velocity signatures and reflectivity eye signatures were more prominent and stronger with super-resolution sampling than those with legacy-resolution sampling.

* Current affiliation: National Center for Atmospheric Research, Boulder, Colorado.

Corresponding author address: Vincent Wood, NOAA/National Severe Storms Laboratory, 120 David L. Boren Blvd., Norman, OK 73072. Email: vincent.wood@noaa.gov

Save
  • Alexander, C. R., and Wurman J. , 2005: The 30 May 1998 Spencer, South Dakota, storm. Part I: The structural evolution and environment of the tornadoes. Mon. Wea. Rev., 133 , 7296.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Alexander, C. R., and Wurman J. , 2008: Updated mobile radar climatology of supercell tornado structures and dynamics. Preprints, 24th Conf. on Severe Local Storms, Savannah, GA, Amer. Meteor. Soc., 19.4. [Available online at http://ams.confex.com/ams/pdfpapers/141821.pdf.].

    • Search Google Scholar
    • Export Citation
  • Battan, L. J., 1973: Radar Observation of the Atmosphere. University of Chicago Press, 324 pp.

  • Bluestein, H. B., 2005: A review of ground-based, mobile, W-band Doppler-radar observations of tornadoes and dust devils. Dyn. Atmos. Oceans, 40 , 163188.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., and Pazmany A. L. , 2000: Observations of tornadoes and other convective phenomena with a mobile 3-mm wavelength, Doppler radar: The spring 1999 field experiment. Bull. Amer. Meteor. Soc., 81 , 29392951.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., Lee W-C. , Bell M. , Weiss C. C. , and Pazmany A. L. , 2003: Mobile Doppler radar observations of a tornado in a supercell near Bassett, Nebraska, on 5 June 1999. Part II: Tornado-vortex structure. Mon. Wea. Rev., 131 , 29682984.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 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.

    • Crossref
    • 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.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brown, R. A., Wood V. T. , and Barker T. W. , 2002a: Improved detection using negative elevation angles for mountaintop WSR-88Ds: Simulation of KMSX near Missoula, Montana. Wea. Forecasting, 17 , 223237.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brown, R. A., Wood V. T. , and Sirmans D. , 2002b: Improved tornado detection using simulated and actual WSR-88D data with enhanced resolution. J. Atmos. Oceanic Technol., 19 , 17591771.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brown, R. A., Flickinger B. A. , Forren E. , Schultz D. M. , Sirmans D. , Spencer P. L. , Wood V. T. , and Ziegler C. L. , 2005: Improved detection of severe storms using experimental super-resolution WSR-88D measurements. Wea. Forecasting, 20 , 314.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burgess, D. W., Magsig M. A. , Wurman J. , Dowell D. C. , and Richardson Y. , 2002: Radar observations of the 3 May 1999 Oklahoma City tornado. Wea. Forecasting, 17 , 456471.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 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-measurements errors. Mon. Wea. Rev., 133 , 15011524.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fiedler, B. H., 1993: Numerical simulation of axisymmetric tornadogenesis in forced convection. The Tornado: Its Structure, Dynamics, Prediction, and Hazards, Geophys. Monogr., Vol. 79, Amer. Geophys. Union, 41–48.

    • Search Google Scholar
    • Export Citation
  • Fujita, T. T., 1981: Tornadoes and downbursts in the context of generalized planetary scales. J. Atmos. Sci., 38 , 15111534.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fujita, T. T., and Wakimoto R. M. , 1982: Anticyclonic tornadoes in 1980 and 1981. Preprints, 12th Conf. on Severe Local Storms, San Antonio, TX, Amer. Meteor. Soc., 401–404.

    • Search Google Scholar
    • Export Citation
  • Gunn, R., and Kinzer G. D. , 1949: The terminal velocity of fall for water droplets in stagnant air. J. Meteor., 6 , 243248.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Johnson, B. C., and Ziegler C. L. , 1984: Doppler observations and retrieved thermal and microphysical variables from the Binger tornadic storm. Preprints, 22nd Conf. on Radar Meteorology, Zurich, Switzerland, Amer. Meteor. Soc., 31–36.

    • Search Google Scholar
    • Export Citation
  • Lemon, L. R., Burgess D. W. , and Hennington L. D. , 1982: A tornado extending to extreme heights as revealed by Doppler radar. Preprints, 12th Conf. on Severe Local Storms, San Antonio, TX, Amer. Meteor. Soc., 430–432.

    • Search Google Scholar
    • Export Citation
  • Wakimoto, R. M., and Martner B. E. , 1992: Observations of a Colorado tornado. Part II: Combined photogrammetric and Doppler radar analysis. Mon. Rev. Wea., 120 , 522543.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wakimoto, R. M., Lee W-C. , Bluestein H. B. , Liu C. H. , and Hildebrand P. H. , 1996: ELDORA observations during VORTEX-95. Bull. Amer. Meteor. Soc., 77 , 14651481.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wakimoto, R. M., Murphy H. V. , Dowell D. C. , and Bluestein H. B. , 2003: The Kellerville tornado during VORTEX: Damage survey and Doppler radar analyses. Mon. Rev. Wea., 131 , 21972221.

    • Crossref
    • 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.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wood, V. T., and Brown R. A. , 2000: Oscillations in mesocyclone signatures with range owing to azimuthal radar sampling. J. Atmos. Oceanic Technol., 17 , 9095.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wood, V. T., Brown R. A. , and Sirmans D. , 2001: Technique for improving detection of WSR-88D mesocyclone signatures by increasing angular sampling. Wea. Forecasting, 16 , 177184.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • WSR-88D ROC, 2007: WSR-88D system specifications. WSR-88D Radar Operations Center, ix + 142 pp. [Available from WSR-88D Radar Operations Center, 1200 Westheimer Dr., Norman, OK 73069.].

    • Search Google Scholar
    • Export Citation
  • Wurman, J., 2002: The multiple-vortex structure of a tornado. Wea. Forecasting, 17 , 473505.

  • Wurman, J., and Gill S. , 2000: Superscale radar observations of the Dimmitt, Texas (2 June 1995), tornado. Mon. Wea. Rev., 128 , 21352164.

    • Crossref
    • 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 http://ams.confex.com/ams/pdfpapers/82353.pdf.].

    • Search Google Scholar
    • Export Citation
  • Wurman, J., and Samaras T. , 2004: Comparison of in-situ pressure and DOW Doppler winds in a tornado and RHI vertical slices through 4 tornadoes during 1996-2004. Preprints, 22nd Conf. on Severe Local Storms, Hyannis, MA, Amer. Meteor. Soc., 15.4. [Available online at http://ams.confex.com/ams/pdfpapers/82352.pdf.].

    • Search Google Scholar
    • Export Citation
  • Wurman, J., Straka J. M. , and Rasmussen E. N. , 1996: Super-scale Doppler radar observations of tornadoes. Science, 272 , 17741777.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 1318 990 31
PDF Downloads 259 53 2