Observations of Polarimetric Signatures in Supercells by an X-Band Mobile Doppler Radar

Jeffrey C. Snyder School of Meteorology, University of Oklahoma, Norman, Oklahoma

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Howard B. Bluestein School of Meteorology, University of Oklahoma, Norman, Oklahoma

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Vijay Venkatesh Microwave Remote Sensing Laboratory, University of Massachusetts—Amherst, Amherst, Massachusetts

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Stephen J. Frasier Microwave Remote Sensing Laboratory, University of Massachusetts—Amherst, Amherst, Massachusetts

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Abstract

Polarimetric weather radars significantly enhance the capability to infer the properties of scatterers within a resolution volume. Previous studies have identified several consistently seen polarimetric signatures in supercells observed in the central United States. Nearly all of these studies used data collected by fixed-site S- and C-band radars. Because there are few polarimetric mobile radars, relatively little has been documented in high-resolution polarimetric data from mobile radars. Compared to S and C bands, there has been very limited examination of polarimetric signatures at X band.

The primary focus of this paper is on one signature that has not been documented previously and one that has had little documentation at X band. The first signature, seen in at least seven supercell datasets collected by a mobile, X-band, polarimetric radar, consists of a narrow band of locally reduced reflectivity factor ZH and differential reflectivity, typically near the location where the hook echo “attaches” to the main body of the storm echo. No consistent pattern is seen in radial velocity VR or copolar cross correlation ρHV. The small size of this feature suggests a significant heterogeneity in precipitation microphysics, the cause and impact of which are unknown. The greater resolution and the scattering differences at X band compared to other frequencies may make this feature more apparent. The second signature consists of anomalously low ρHV in areas of high ZH along the left section (relative to storm motion) of the bounded weak-echo region. Examples of other polarimetric signatures at X band are provided.

Corresponding author address: Jeffrey Snyder, School of Meteorology, University of Oklahoma, 120 David L. Boren Blvd., Suite 5900, Norman, OK 73072. E-mail: jsnyder@ou.edu

Abstract

Polarimetric weather radars significantly enhance the capability to infer the properties of scatterers within a resolution volume. Previous studies have identified several consistently seen polarimetric signatures in supercells observed in the central United States. Nearly all of these studies used data collected by fixed-site S- and C-band radars. Because there are few polarimetric mobile radars, relatively little has been documented in high-resolution polarimetric data from mobile radars. Compared to S and C bands, there has been very limited examination of polarimetric signatures at X band.

The primary focus of this paper is on one signature that has not been documented previously and one that has had little documentation at X band. The first signature, seen in at least seven supercell datasets collected by a mobile, X-band, polarimetric radar, consists of a narrow band of locally reduced reflectivity factor ZH and differential reflectivity, typically near the location where the hook echo “attaches” to the main body of the storm echo. No consistent pattern is seen in radial velocity VR or copolar cross correlation ρHV. The small size of this feature suggests a significant heterogeneity in precipitation microphysics, the cause and impact of which are unknown. The greater resolution and the scattering differences at X band compared to other frequencies may make this feature more apparent. The second signature consists of anomalously low ρHV in areas of high ZH along the left section (relative to storm motion) of the bounded weak-echo region. Examples of other polarimetric signatures at X band are provided.

Corresponding author address: Jeffrey Snyder, School of Meteorology, University of Oklahoma, 120 David L. Boren Blvd., Suite 5900, Norman, OK 73072. E-mail: jsnyder@ou.edu
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  • Anderson, M. E., L. D. Carey, W. A. Petersen, and K. R. Knupp, 2011: C-band dual-polarimetric radar signatures of hail. Electron. J. Oper. Meteor., 12, 130.

    • Search Google Scholar
    • Export Citation
  • Asefi-Najafabady, S., K. Knupp, J. R. Mecikalski, R. M. Welch, and D. Phillips, 2010: Ground-based measurements and dual-Doppler analysis of 3-D wind fields and atmospheric circulations induced by a meso-γ-scale inland lake. J. Geophys. Res., 115, D23117, doi:10.1029/2010JD014022.

    • Search Google Scholar
    • Export Citation
  • Balakrishnan, N., and D. S. Zrnić, 1990: Use of polarization to characterize precipitation and discriminate large hail. J. Atmos. Sci., 47, 15251540.

    • Search Google Scholar
    • Export Citation
  • Biggerstaff, M. I., and Coauthors, 2005: The Shared Mobile Atmospheric Research and Teaching Radar: A collaboration to enhance research and teaching. Bull. Amer. Meteor. Soc., 86, 12631274.

    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., and W. P. Unruh, 1989: Observations of the wind fields in tornadoes, funnel clouds, and wall clouds with a portable Doppler radar. Bull. Amer. Meteor. Soc., 70, 15141525.

    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., and A. L. Pazmany, 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.

    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., and S. G. Gaddy, 2001: Airborne pseudo-dual-Doppler analysis of a rear-inflow jet and deep convergence zone within a supercell. Mon. Wea. Rev., 129, 22702289.

    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., A. L. Pazmany, J. C. Galloway, and R. E. Mcintosh, 1995: Studies of the substructure of severe convective storms using a mobile 3-mm-wavelength Doppler radar. Bull. Amer. Meteor. Soc., 76, 21552169.

    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., M. M. French, R. L. Tanamachi, S. Frasier, K. Hardwick, F. Junyent, and A. L. Pazmany, 2007a: Close-range observations of tornadoes in supercells made with a dual-polarization, X-band, mobile Doppler radar. Mon. Wea. Rev., 135, 15221543.

    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., C. C. Weiss, M. M. French, E. M. Holthaus, R. L. Tanamachi, S. Frasier, and A. L. Pazmany, 2007b: The structure of tornadoes near Attica, Kansas, on 12 May 2004: High-resolution, mobile, Doppler radar observations. Mon. Wea. Rev., 135, 475506.

    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., M. M. French, I. PopStefanija, R. T. Bluth, and J. B. Knorr, 2010a: A mobile, phased-array radar for the study of severe convective storms: The MWR-05XP. Bull. Amer. Meteor. Soc., 91, 579600.

    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., and Coauthors, 2010b: A summary of data collected during VORTEX2 by MWR-05XP/TWOLF, UMass X-Pol, and the UMass W-band radar. Preprints, 25th Conf. on Severe Local Storms, Denver, CO, Amer. Meteor. Soc., 5.4. [Available online at http://ams.confex.com/ams/pdfpapers/176197.pdf.]

  • Bluestein, H. B., J. C. Snyder, J. B. Houser, and A. L. Pazmany, 2012: Rapid-scan, polarimetric, mobile Doppler radar observations at X-band of an EF-5 tornado in Oklahoma on 24 May 2011. Preprints, Seventh European Conf. on Radar in Meteorology and Hydrology, Toulouse, France, Météo-France, 12.1.

  • Borowska, L., A. V. Ryzhkov, D. S. Zrnić, C. Simmer, and R. Palmer, 2011: Attenuation and differential attenuation of 5-cm-wavelength radiation in melting hail. J. Appl. Meteor. Climatol., 50, 5976.

    • Search Google Scholar
    • Export Citation
  • Brandes, E. A., 1978: Mesocyclone evolution and tornadogenesis: Some observations. Mon. Wea. Rev., 106, 9951011.

  • Brandes, E. A., 1984: Vertical vorticity generation and mesocyclone sustenance in tornadic thunderstorms: The observational evidence. Mon. Wea. Rev., 112, 22532269.

    • Search Google Scholar
    • Export Citation
  • Brandes, E. A., 1993: Tornado thunderstorm characteristics determined with Doppler radar. The Tornado: Its Structure, Dynamics, Prediction and Hazards, Geophys. Monogr., Vol. 79, Amer. Geophys. Union, 143–159.

  • Brandes, E. A., and K. Ikeda, 2004: Freezing-level estimation with polarimetric radar. J. Appl. Meteor., 43, 15411553.

  • Brandes, E. A., J. Vivekanandan, J. D. Tuttle, and C. J. Kessinger, 1995: A study of thunderstorm microphysics with multiparameter radar and aircraft observations. Mon. Wea. Rev., 123, 31293143.

    • Search Google Scholar
    • Export Citation
  • Brandes, E. A., G. Zhang, and J. Vivekanandan, 2002: Experiments in rainfall estimation with polarimetric radar in a subtropical environment. J. Appl. Meteor., 41, 674685.

    • Search Google Scholar
    • Export Citation
  • Brandes, E. A., G. Zhang, and J. Vivekanandan, 2004a: Comparison of polarimetric radar drop size distribution retrieval algorithms. J. Atmos. Oceanic Technol., 21, 584598.

    • Search Google Scholar
    • Export Citation
  • Brandes, E. A., G. Zhang, and J. Vivekanandan, 2004b: Drop size distribution retrieval with polarimetric radar: Model and application. J. Appl. Meteor., 43, 461475.

    • Search Google Scholar
    • Export Citation
  • Bringi, V. N., V. Chandrasekar, N. Balakrishnan, and D. S. Zrnić, 1990: An examination of propagation effects in rainfall on radar measurements at microwave frequencies. J. Atmos. Oceanic Technol., 7, 829840.

    • Search Google Scholar
    • Export Citation
  • Bringi, V. N., D. A. Burrows, and S. M. Menon, 1991: Multiparameter radar and aircraft study of raindrop spectral evolution in warm-based clouds. J. Appl. Meteor., 30, 853880.

    • Search Google Scholar
    • Export Citation
  • Bringi, V. N., G.-J. Huang, V. Chandrasekar, and E. Gorgucci, 2002: A methodology for estimating the parameters of a gamma raindrop size distribution model from polarimetric radar data: Application to a squall-line event from the TRMM/Brazil campaign. J. Atmos. Oceanic Technol., 19, 633645.

    • Search Google Scholar
    • Export Citation
  • Browning, K. A., 1964: Airflow and precipitation trajectories within severe local storms which travel to the right of the winds. J. Atmos. Sci., 21, 634639.

    • Search Google Scholar
    • Export Citation
  • Browning, K. A., and R. J. Donaldson, 1963: Airflow and structure of a tornadic storm. J. Atmos. Sci., 20, 533545.

  • Burgess, D. W., E. R. Mansell, C. M. Schwarz, and B. J. Allen, 2010: Tornado and tornadogenesis events seen by the NOXP X-band, dual-polarization radar during VORTEX2 2010. Preprints, 25th Conf. on Severe Local Storms, Denver, CO, Amer. Meteor. Soc., 5.2. [Available online at http://ams.confex.com/ams/pdfpapers/176164.pdf.]

  • Cao, Q., G. Zhang, E. Brandes, T. Schuur, A. V. Ryzhkov, and K. Ikeda, 2008: Analysis of video disdrometer and polarimetric radar data to characterize rain microphysics in Oklahoma. J. Appl. Meteor. Climatol., 47, 22382255.

    • Search Google Scholar
    • Export Citation
  • Chisholm, A. J., 1973: Part I: Radar case studies and airflow models. Alberta Hailstorms, Meteor. Monogr., No. 36, Amer. Meteor. Soc., 1–36.

  • Conway, J. W., and D. S. Zrnić, 1993: A study of embryo production and hail growth using dual-Doppler and multiparameter radars. Mon. Wea. Rev., 121, 25112528.

    • Search Google Scholar
    • Export Citation
  • Dawson, D. T., II, and G. Romine, 2010: A preliminary survey of DSD measurements collected during VORTEX2. Preprints, 25th Conf. on Severe Local Storms, Denver, CO, Amer. Meteor. Soc., 8A.4. [Available online at http://ams.confex.com/ams/pdfpapers/176115.pdf.]

  • Dolan, B., and S. A. Rutledge, 2009: A theory-based hydrometeor identification algorithm for X-band polarimetric radars. J. Atmos. Oceanic Technol., 26, 20712088.

    • Search Google Scholar
    • Export Citation
  • Doviak, R. J., V. Bringi, A. V. Ryzhkov, A. Zahrai, and D. S. Zrnić, 2000: Considerations for polarimetric upgrades to operational WSR-88D radars. J. Atmos. Oceanic Technol., 17, 257278.

    • Search Google Scholar
    • Export Citation
  • Féral, L., H. Sauvageot, and S. Soula, 2003: Hail detection using S- and C-band radar reflectivity difference. J. Atmos. Oceanic Technol., 20, 233248.

    • Search Google Scholar
    • Export Citation
  • Giangrande, S. E., J. M. Krause, and A. V. Ryzhkov, 2008: Automatic designation of the melting layer with a polarimetric prototype of the WSR-88D radar. J. Appl. Meteor. Climatol., 47, 13541364.

    • Search Google Scholar
    • Export Citation
  • Gorgucci, E., V. Chandrasekar, V. N. Bringi, and G. Scarchilli, 2002: Estimation of raindrop size distribution parameters from polarimetric radar measurements. J. Atmos. Sci., 59, 23732384.

    • Search Google Scholar
    • Export Citation
  • Gu, J.-Y., A. Ryzhkov, P. Zhang, P. Neilley, M. Knight, B. Wolf, and D.-I. Lee, 2011: Polarimetric attenuation correction in heavy rain at C band. J. Appl. Meteor. Climatol., 50, 3958.

    • Search Google Scholar
    • Export Citation
  • Hall, M. P. M., J. W. F. Goddard, and S. M. Curry, 1984: Identification of hydrometeors and other targets by dual-polarization radar. Radio Sci., 19, 132140.

    • Search Google Scholar
    • Export Citation
  • Höller, H., V. N. Bringi, J. Hubbert, M. Hagen, and P. F. Meischner, 1994: Life cycle and precipitation formation in a hybrid-type hailstorm revealed by polarimetric and Doppler radar measurements. J. Atmos. Sci., 51, 25002522.

    • Search Google Scholar
    • Export Citation
  • Hubbert, J., and V. N. Bringi, 1995: An iterative filtering technique for the analysis of copolar differential phase and dual-frequency radar measurements. J. Atmos. Oceanic Technol., 12, 643648.

    • Search Google Scholar
    • Export Citation
  • Hubbert, J., V. N. Bringi, L. D. Carey, and S. Bolen, 1998: CSU-CHILL polarimetric radar measurements from a severe hail storm in eastern Colorado. J. Appl. Meteor., 37, 749775.

    • Search Google Scholar
    • Export Citation
  • Iwanami, K., K. Kusunoki, N. Orikasa, M. Maki, R. Misumi, and M. Murakami, 2007: Hydrometeor type classification in winter clouds using X-band polarimetric radar measurements—Comparison of X-band polarimetric radar data with in-situ measurements by HYVIS. Preprints, 33rd Conf. on Radar Meteorology, Cairns, QLD, Australia, Amer. Meteor. Soc., P10.11. [Available online at http://ams.confex.com/ams/pdfpapers/123072.pdf.]

  • Jameson, A. R., M. J. Murphy, and E. P. Krider, 1996: Multiple parameter radar observations of isolated Florida thunderstorms during the onset of electrification. J. Appl. Meteor., 35, 343354.

    • Search Google Scholar
    • Export Citation
  • Jung, Y., G. Zhang, and M. Xue, 2008: Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part I: Observation operators for reflectivity and polarimetric variables. Mon. Wea. Rev., 136, 22282245.

    • Search Google Scholar
    • Export Citation
  • Jung, Y., M. Xue, and G. Zhang, 2010: Simulations of polarimetric radar signatures of a supercell storm using a two-moment bulk microphysics scheme. J. Appl. Meteor. Climatol., 49, 146163.

    • Search Google Scholar
    • Export Citation
  • Junyent-Lopez, F. J., 2003: The design, development, and initial field deployment of an X-band polarimetric Doppler weather radar. M.S. thesis, Electrical and Computer Engineering Dept., University of Massachusetts—Amherst, 120 pp.

  • Keenan, T., 2003: Hydrometeor classification with C-band polarimetric radar. Aust. Meteor. Mag., 51, 2331.

  • Kennedy, P. C., S. A. Rutledge, W. A. Peterson, and V. N. Bringi, 2001: Polarimetric radar observations of hail formation. J. Appl. Meteor., 40, 13471366.

    • Search Google Scholar
    • Export Citation
  • Kosiba, K., J. Wurman, P. Markowski, Y. Richardson, and P. Robinson, 2011: Observations from VORTEX2: The genesis of the Goshen County, Wyoming tornado. Short Abstract, Sixth European Conf. on Severe Storms, Mallorca, Spain, European Severe Storms Laboratory, 120. [Available online at http://www.essl.org/ECSS/2011/programme/abstracts/papers.html#A120.]

  • Kumjian, M. R., 2011: Precipitation properties of supercell hook echoes. Electron. J. Severe Storms Meteor., 6 (5). [Available online at http://www.ejssm.org/ojs/index.php/ejssm/article/view/93/65.]

    • Search Google Scholar
    • Export Citation
  • Kumjian, M. R., and A. V. Ryzhkov, 2008: Polarimetric signatures in supercell thunderstorms. J. Appl. Meteor. Climatol., 47, 19401961.

    • Search Google Scholar
    • Export Citation
  • Kumjian, M. R., A. V. Ryzhkov, V. M. Melnikov, and T. J. Schuur, 2010: Rapid-scan super-resolution observations of a cyclic supercell with a dual-polarization WSR-88D. Mon. Wea. Rev., 138, 37623786.

    • Search Google Scholar
    • Export Citation
  • Le Bouar, E., J. Testud, and S. Y. Matrosov, 2002: Rainfall rate estimate from the rain profiling algorithm ZPHI applied to X-band polarimetric radar data. Proc. Second European Conf. on Radar Meteorology, Delft, Netherlands, European Meteorological Society, 238–242.

  • Lemon, L. R., and C. A. Doswell, 1979: Severe thunderstorm evolution and mesocyclone structure as related to tornadogenesis. Mon. Wea. Rev., 107, 11841197.

    • Search Google Scholar
    • Export Citation
  • Lim, S., V. Chandrasekar, and V. N. Bringi, 2005: Hydrometeor classification system using dual-polarization radar measurements: Model improvements and in situ verification. IEEE Trans. Geosci. Remote Sens., 43, 792801.

    • Search Google Scholar
    • Export Citation
  • Liu, H., and V. Chandrasekar, 2000: Classification of hydrometeors based on polarimetric radar measurements: Development of fuzzy logic and neuro-fuzzy systems, and in situ verification. J. Atmos. Oceanic Technol., 17, 140164.

    • Search Google Scholar
    • Export Citation
  • Loney, M. L., D. S. Zrnić, J. M. Straka, and A. V. Ryzhkov, 2002: Enhanced polarimetric radar signatures above the melting level in a supercell storm. J. Appl. Meteor., 41, 11791194.

    • Search Google Scholar
    • Export Citation
  • Maki, M., and Coauthors, 2010: X-band polarimetric radar networks in urban areas. Proc. Sixth European Conf. on Radar in Meteorology and Hydrology, Sibiu, Romania, ERAD 2010, P15.10. [Available online at http://www.erad2010.org/pdf/POSTER/Thursday/02_Xband/11_ERAD2010_0354_extended.pdf.]

  • Marwitz, J. D., 1972: The structure and motion of severe hailstorms. Part I: Supercell storms. J. Appl. Meteor., 11, 166179.

  • Marzano, F. S., D. Scaranari, M. Celano, P. P. Alberoni, G. Vulpiani, and M. Montopoli, 2006: Hydrometeor classification from dual-polarized weather radar: Extending fuzzy logic from S-band to C-band data. Adv. Geosci., 7, 109114.

    • Search Google Scholar
    • Export Citation
  • Matrosov, S. Y., R. A. Kropfli, R. F. Reinking, and B. E. Martner, 1999: Prospects for measuring rainfall using propagation differential phase in X- and Ka-radar bands. J. Appl. Meteor., 38, 766776.

    • Search Google Scholar
    • Export Citation
  • Matrosov, S. Y., K. A. Clark, B. E. Martner, and A. Tokay, 2002: X-band polarimetric radar measurements of rainfall. J. Appl. Meteor., 41, 941952.

    • Search Google Scholar
    • Export Citation
  • McLaughlin, D., and Coauthors, 2009: Short-wavelength technology and the potential for distributed networks of small radar systems. Bull. Amer. Meteor. Soc., 90, 17971817.

    • Search Google Scholar
    • Export Citation
  • Meischner, P. F., V. N. Bringi, D. Heimann, and H. Höller, 1991: A squall line in southern Germany: Kinematics and precipitation formation as deduced by advanced polarimetric and Doppler radar measurements. Mon. Wea. Rev., 119, 678701.

    • Search Google Scholar
    • Export Citation
  • Palmer, R. D., Coauthors, 2011: Observations of the 10 May 2010 tornado outbreak using OU-PRIME: Potential for new science with high-resolution polarimetric radar. Bull. Amer. Meteor. Soc., 92, 871891.

    • Search Google Scholar
    • Export Citation
  • Park, H., A. V. Ryzhkov, D. S. Zrnić, and K. Kim, 2009: The hydrometeor classification algorithm for the polarimetric WSR-88D: Description and application to an MCS. Wea. Forecasting, 24, 730748.

    • Search Google Scholar
    • Export Citation
  • Park, S. G., V. N. Bringi, V. Chandrasekar, M. Maki, and K. Iwanami, 2005a: Correction of radar reflectivity and differential reflectivity for rain attenuation at X band. Part I: Theoretical and empirical basis. J. Atmos. Oceanic Technol., 22, 16211632.

    • Search Google Scholar
    • Export Citation
  • Park, S. G., M. Maki, K. Iwanami, V. N. Bringi, and V. Chandrasekar, 2005b: Correction of radar reflectivity and differential reflectivity for rain attenuation at X band. Part II: Evaluation and application. J. Atmos. Oceanic Technol., 22, 16331655.

    • Search Google Scholar
    • Export Citation
  • Payne, C. D., T. J. Schuur, D. R. MacGorman, M. I. Biggerstaff, K. M. Kuhlman, and W. D. Rust, 2010: Polarimetric and electrical characteristics of a lightning ring in a supercell storm. Mon. Wea. Rev., 138, 24052425.

    • Search Google Scholar
    • Export Citation
  • Pazmany, A. L., and H. B. Bluestein, 2011: Mobile rapid-scanning X-band polarimetric (RaXPol) Doppler radar system. Preprints, 35th Conf. on Radar Meteorology, Pittsburgh, PA, Amer. Meteor. Soc., 16B.2. [Available online at https://ams.confex.com/ams/35Radar/webprogram/Paper191294.html.]

  • Pazmany, A. L., F. J. Lopez, H. B. Bluestein, and M. Kramar, 2003: Quantitative rain measurements with a mobile, X-band, polarimetric Doppler radar. Preprints, 31st Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., 858–859.

  • Petersen, W. A., K. R. Knupp, D. J. Cecil, and J. R. Mecikalski, 2007: The University of Alabama Huntsville THOR Center instrumentation: Research and operational collaboration. Extended Abstracts, 33rd Int. Conf. on Radar Meteorology, Cairns, Australia, Amer. Meteor. Soc., 5.1. [Available online at https://ams.confex.com/ams/33Radar/techprogram/paper_123410.htm.]

  • Petersen, W. A., L. D. Carey, K. R. Knupp, C. J. Schultz, and E. V. Johnson, 2008: ARMOR dual-polarimetric radar observations of tornadic debris signatures. Preprints, 24th Conf. on Severe Local Storms, Savannah, GA, Amer. Meteor. Soc., 3B6. [Available online at https://ams.confex.com/ams/24SLS/techprogram/paper_142043.htm.]

  • Picca, J. C., and A. V. Ryzhkov, 2012: A dual-wavelength polarimetric analysis of the 16 May 2010 Oklahoma City extreme hailstorm. Mon. Wea. Rev., 140, 13851403.

    • Search Google Scholar
    • Export Citation
  • Romine, G. S., D. W. Burgess, and R. B. Wilhelmson, 2008: A dual polarization-radar-based assessment of the 8 May 2003 Oklahoma City area tornadic supercell. Mon. Wea. Rev., 136, 28492870.

    • Search Google Scholar
    • Export Citation
  • Ryzhkov, A. V., 2007: The impact of beam broadening on the quality of radar polarimetric data. J. Atmos. Oceanic Technol., 24, 729744.

    • Search Google Scholar
    • Export Citation
  • Ryzhkov, A. V., and D. S. Zrnić, 1995: Precipitation and attenuation measurements at a 10-cm wavelength. J. Appl. Meteor., 34, 21212134.

    • Search Google Scholar
    • Export Citation
  • Ryzhkov, A. V., and D. S. Zrnić, 1996: Assessment of rainfall measurement that uses specific differential phase. J. Appl. Meteor., 35, 20802090.

    • Search Google Scholar
    • Export Citation
  • Ryzhkov, A. V., and D. S. Zrnić, 2005: Radar polarimetry at S, C, and X bands: Comparative analysis and operational implications. Preprints, 32nd Conference on Radar Meteorology, Albuquerque, NM, Amer. Meteor. Soc., 9R.3. [Available online at https://ams.confex.com/ams/32Rad11Meso/techprogram/paper_95684.htm.]

  • Ryzhkov, A. V., S. E. Giangrande, and T. J. Schuur, 2005a: Rainfall estimation with a polarimetric prototype of WSR-88D. J. Appl. Meteor., 44, 502515.

    • Search Google Scholar
    • Export Citation
  • Ryzhkov, A. V., T. J. Schuur, D. W. Burgess, P. L. Heinselman, S. E. Giangrande, and D. S. Zrnić, 2005b: The Joint Polarization Experiments: Polarimetric measurements and hydrometeor classification. Bull. Amer. Meteor. Soc., 86, 809824.

    • Search Google Scholar
    • Export Citation
  • Ryzhkov, A. V., T. J. Schuur, D. W. Burgess, and D. S. Zrnić, 2005c: Polarimetric tornado detection. J. Appl. Meteor., 44, 557570.

  • Ryzhkov, A. V., P. Zhang, D. Hudak, J. L. Alford, M. Knight, and J. Conway, 2007: Validation of polarimetric methods for attenuation correction at C band. Preprints, 33rd Conf. on Radar Meteorology, Cairns, QLD, Australia, Amer. Meteor. Soc., P11B.12. [Available online at http://ams.confex.com/ams/pdfpapers/123122.pdf.]

  • Ryzhkov, A. V., S. Ganson, A. Khain, M. Pinsky, and A. Pokrovsky, 2009: Polarimetric characteristics of melting hail at S and C bands. Preprints, 34th Conf. on Radar Meteorology, Williamsburg, VA, Amer. Meteor. Soc., 4A.6. [Available online at http://ams.confex.com/ams/pdfpapers/155571.pdf.]

  • Ryzhkov, A. V., M. Pinsky, A. Pokrovsky, and A. Khain, 2011: Polarimetric radar observation operator for a cloud model with spectral microphysics. J. Appl. Meteor. Climatol., 50, 873894.

    • Search Google Scholar
    • Export Citation
  • Scarchilli, G., E. Goroucci, V. Chandrasekar, and T. A. Seliga, 1993: Rainfall estimation using polarimetric techniques at C-band frequencies. J. Appl. Meteor., 32, 11501160.

    • Search Google Scholar
    • Export Citation
  • Schultz, C. J., and Coauthors, 2012: Dual-polarimetric radar-based tornado debris signatures and paths associated with tornadoes over northern Alabama during the historic outbreak of 27 April 2011. Preprints, Special Symp. on the Tornado Disasters of 2011, New Orleans, LA, Amer. Meteor. Soc., J2.2. [Available online at https://ams.confex.com/ams/92Annual/flvgateway.cgi/id/19804?recordingid=19804.]

  • Seliga, T. A., and V. N. Bringi, 1976: Potential use of radar differential reflectivity measurements at orthogonal polarizations for measuring precipitation. J. Appl. Meteor., 15, 6976.

    • Search Google Scholar
    • Export Citation
  • Snyder, J. C., H. B. Bluestein, Y. Jung, S. Frasier, and V. Venkatesh, 2010a: The structure and time evolution of polarimetric signatures in severe convective storms: High-resolution numerical simulations and data from a mobile, X-band Doppler radar. Preprints, 25th Conf. on Severe Local Storms, Denver, CO, Amer. Meteor. Soc., P8.8. [Available online at http://ams.confex.com/ams/pdfpapers/176247.pdf.]

  • Snyder, J. C., H. B. Bluestein, G. Zhang, and S. J. Frasier, 2010b: Attenuation correction and hydrometeor classification of high-resolution, X-band, dual-polarized mobile radar measurements in severe convective storms. J. Atmos. Oceanic Technol., 27, 19792001.

    • Search Google Scholar
    • Export Citation
  • Straka, J. M., D. S. Zrnić, and A. V. Ryzhkov, 2000: Bulk hydrometeor classification and quantification using polarimetric radar data: Synthesis of relations. J. Appl. Meteor., 39, 13411372.

    • Search Google Scholar
    • Export Citation
  • Tanamachi, R. L., H. B. Bluestein, J. B. Houser, S. J. Frasier, and K. M. Hardwick, 2012: Mobile, X-band, polarimetric Doppler radar observations of the 4 May 2007 Greensburg, Kansas, tornadic supercell. Mon. Wea. Rev., 140, 21032125.

    • Search Google Scholar
    • Export Citation
  • Testud, J., E. Le Bouar, E. Obligis, and M. Ali-Mehenni, 2000: The rain profiling algorithm applied to polarimetric weather radar. J. Atmos. Oceanic Technol., 17, 332356.

    • Search Google Scholar
    • Export Citation
  • Tuttle, J. D., V. N. Bringi, H. D. Orville, and F. J. Kopp, 1989: Multiparameter radar study of a microburst: Comparison with model results. J. Atmos. Sci., 46, 601620.

    • Search Google Scholar
    • Export Citation
  • Van Den Broeke, M. S., J. M. Straka, and E. N. Rasmussen, 2008: Polarimetric radar observations at low levels during tornado life cycles in a small sample of classic southern plains supercells. J. Appl. Meteor. Climatol., 47, 12321247.

    • Search Google Scholar
    • Export Citation
  • Vivekanandan, J., V. N. Bringi, and R. Raghavan, 1990: Multiparameter radar modeling and observations of melting ice. J. Atmos. Sci., 47, 549564.

    • Search Google Scholar
    • Export Citation
  • Vivekanandan, J., S. M. Ellis, R. Oye, D. S. Zrnić, A. V. Ryzhkov, and J. Straka, 1999: Cloud microphysics retrieval using S-band dual-polarization radar measurements. Bull. Amer. Meteor. Soc., 80, 381388.

    • Search Google Scholar
    • Export Citation
  • Vivekanandan, J., G. Zhang, and E. Brandes, 2004: Polarimetric radar estimators based on a constrained gamma drop size distribution model. J. Appl. Meteor., 43, 217230.

    • Search Google Scholar
    • Export Citation
  • Wakimoto, R. M., W.-C. Lee, H. B. Bluestein, C.-H. Liu, and P. H. Hildebrand, 1996: ELDORA observations during VORTEX 95. Bull. Amer. Meteor. Soc., 77, 29492950.

    • Search Google Scholar
    • Export Citation
  • Waterman, P. C., 1969: Scattering by dielectric obstacles. Alta Freq.,38, 348–352.

  • Weiss, C. C., J. L. Schroeder, J. Guynes, A. E. Reinhart, P. S. Skinner, and S. Gunter, 2011: A review of Texas Tech Ka-band operations during VORTEX2. Preprints, 35th Conf. on Radar Meteorology, Pittsburgh, PA, Amer. Meteor. Soc., 7B.2. [Available online at https://ams.confex.com/ams/35Radar/webprogram/Paper191783.html.]

  • Wurman, J., J. M. Straka, E. Rasmussen, M. Randall, and A. Zahrai, 1997: Design and deployment of a portable, pencil-beam, pulsed, 3-cm Doppler radar. J. Atmos. Oceanic Technol., 14, 15021512.

    • Search Google Scholar
    • Export Citation
  • Wurman, J., L. J. Wicker, Y. P. Richardson, E. N. Rasmussen, P. M. Markowski, D. Dowell, D. W. Burgess, and H. B. Bluestein, 2010: An overview of the VORTEX2 field campaign. Preprints, 25th Conf. on Severe Local Storms, Denver, CO, Amer. Meteor. Soc., 5.1. [Available online at https://ams.confex.com/ams/25SLS/techprogram/paper_176068.htm.]

  • Wurman, J., K. Freidrich, and K. A. Kosiba, 2011: Design and deployment of quickly scanning dual-frequency, dual-polarization, dual-Doppler mobile radar network. Preprints, 35th Conf. on Radar Meteorology, Pittsburgh, PA, Amer. Meteor. Soc., 170. [Available online at https://ams.confex.com/ams/35Radar/webprogram/Paper191588.html.]

  • Wurman, J., D. Dowell, Y. Richardson, P. Markowski, E. Rasmussen, D. Burgess, L. Wicker, and H. Bluestein, 2012: The Second Verification of the Origins of Rotation in Tornadoes Experiment: VORTEX2. Bull. Amer. Meteor. Soc., 93, 11471170.

    • Search Google Scholar
    • Export Citation
  • Zhang, G., J. Vivekanandan, and E. Brandes, 2001: A method for estimating rain rate and drop size distribution from polarimetric radar measurements. IEEE Trans. Geosci. Remote Sens., 39, 830841.

    • Search Google Scholar
    • Export Citation
  • Zrnić, D. S., and A. V. Ryzhkov, 1999: Polarimetry for weather surveillance radars. Bull. Amer. Meteor. Soc., 80, 389406.

  • Zrnić, D. S., N. Balakrishnan, C. L. Ziegler, V. N. Bringi, K. Aydin, and T. Matejka, 1993: Polarimetric signatures in the stratiform region of a mesoscale convective system. J. Appl. Meteor., 32, 678693.

    • Search Google Scholar
    • Export Citation
  • Zrnić, D. S., A. V. Ryzhkov, J. Straka, Y. Liu, and J. Vivekanandan, 2001: Testing a procedure for automatic classification of hydrometeor types. J. Atmos. Oceanic Technol., 18, 892913.

    • Search Google Scholar
    • Export Citation
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