Bistatic Dual-Polarization Scattering from Rain and Hail at S- and C-Band Frequencies

K. Aydin Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania

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S. H. Park Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania

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T. M. Walsh Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania

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Abstract

Bistatic dual-polarization radar parameters at S- and C-band frequencies are simulated for rain and hail. The goal is to determine their potential for discriminating the two precipitation types and for estimating the parameters of an exponential size distribution for hail. Raindrops and hailstones are modeled as oblate spheroids with canting distributions representing their fall behavior. Three hailstone composition models are used to illustrate the effects of melting. Most of the bistatic radar parameters are significantly affected by the amount of liquid water in the hailstones, which may prove useful in determining the melting level from the vertical profiles of these parameters. For single-polarized transmission, such as vertical (v) or horizontal (h) polarization, the four bistatic radar parameters of interest are effective reflectivity factor (Zv or Zh), bistatic-to-backscattering reflectivity ratio (BBRv or BBRh), linear depolarization ratio (LDRv or LDRh), and magnitude of the correlation coefficient between the co- and cross-polarized signals (ρv or ρh). If the transmission is dual polarized, then in addition to these two sets of parameters, the bistatic differential reflectivity (ZDR) and the magnitude of the copolarized correlation coefficient (ρhv) will be available. For low elevation angles of the transmitter and receiver the parameters resulting from h-polarized transmission may be difficult to measure near the bistatic azimuth angle of 90° due to very low signal levels. This may not be an issue for precipitation involving large hailstones.

When parameter pairs such as (LDRv, ρv) and (BBRv, Zv) are plotted, it is observed that rain and hail tend to cluster in different regions on these planes. This indicates a potential for using bistatic radar parameters for differentiating rain from hail. Similar pairs are possible for h-polarization. Various other combinations of these parameters lead to similar results. The use of more than one pair of parameters and/or several bistatic receiver locations should enhance the level of confidence in the discrimination process. It should also be noted that in some cases there are regions on these planes where rain and hail overlap and discrimination may not always be possible.

Other than Zv and Zh, all of the bistatic radar parameters mentioned above are in the form of ratios. As a result, given an exponential size distribution, N0 exp(−3.67D/D0), they depend only on the median volume diameter D0 and not on N0. Assuming that the amount of liquid water and ice in the composition of the hailstones are known, the ratio parameters may be used for estimating D0. However, among these parameters only BBRv and BBRh are negligibly affected by variations in the axial ratio and the mean orientation of hailstones, making them preferable for D0 estimation. Once D0 is obtained, N0 may be estimated using Zv or Zh.

Corresponding author address: Dr. Kultegin Aydin, Department of Electrical Engineering, The Pennsylvania State University, 314 Electrical Engineering East, University Park, PA 16802.

Email: k-aydin@psu.edu

Abstract

Bistatic dual-polarization radar parameters at S- and C-band frequencies are simulated for rain and hail. The goal is to determine their potential for discriminating the two precipitation types and for estimating the parameters of an exponential size distribution for hail. Raindrops and hailstones are modeled as oblate spheroids with canting distributions representing their fall behavior. Three hailstone composition models are used to illustrate the effects of melting. Most of the bistatic radar parameters are significantly affected by the amount of liquid water in the hailstones, which may prove useful in determining the melting level from the vertical profiles of these parameters. For single-polarized transmission, such as vertical (v) or horizontal (h) polarization, the four bistatic radar parameters of interest are effective reflectivity factor (Zv or Zh), bistatic-to-backscattering reflectivity ratio (BBRv or BBRh), linear depolarization ratio (LDRv or LDRh), and magnitude of the correlation coefficient between the co- and cross-polarized signals (ρv or ρh). If the transmission is dual polarized, then in addition to these two sets of parameters, the bistatic differential reflectivity (ZDR) and the magnitude of the copolarized correlation coefficient (ρhv) will be available. For low elevation angles of the transmitter and receiver the parameters resulting from h-polarized transmission may be difficult to measure near the bistatic azimuth angle of 90° due to very low signal levels. This may not be an issue for precipitation involving large hailstones.

When parameter pairs such as (LDRv, ρv) and (BBRv, Zv) are plotted, it is observed that rain and hail tend to cluster in different regions on these planes. This indicates a potential for using bistatic radar parameters for differentiating rain from hail. Similar pairs are possible for h-polarization. Various other combinations of these parameters lead to similar results. The use of more than one pair of parameters and/or several bistatic receiver locations should enhance the level of confidence in the discrimination process. It should also be noted that in some cases there are regions on these planes where rain and hail overlap and discrimination may not always be possible.

Other than Zv and Zh, all of the bistatic radar parameters mentioned above are in the form of ratios. As a result, given an exponential size distribution, N0 exp(−3.67D/D0), they depend only on the median volume diameter D0 and not on N0. Assuming that the amount of liquid water and ice in the composition of the hailstones are known, the ratio parameters may be used for estimating D0. However, among these parameters only BBRv and BBRh are negligibly affected by variations in the axial ratio and the mean orientation of hailstones, making them preferable for D0 estimation. Once D0 is obtained, N0 may be estimated using Zv or Zh.

Corresponding author address: Dr. Kultegin Aydin, Department of Electrical Engineering, The Pennsylvania State University, 314 Electrical Engineering East, University Park, PA 16802.

Email: k-aydin@psu.edu

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  • Atlas, D., K. Naito, and R. E. Carbone, 1968: Bistatic microwave probing of a refractively perturbed clear atmosphere. J. Atmos. Sci.,25, 257–268.

    • Crossref
    • Export Citation
  • Awaka, J., and T. Oguchi, 1982a: Bistatic radar reflectivities of Pruppacher-and-Pitter form raindrops at 14.3 and 5.33 GHz. J. Radio Res. Lab.,29, 125–150.

  • ——, and ——, 1982b: Bistatic radar reflectivities of Pruppacher-and-Pitter form raindrops at 34.8 GHz. Radio Sci.,17, 269–278.

  • Aydin, K., and Y. Zhao, 1990: A computational study of polarimetric radar observables in hail. IEEE Trans. Geosci. Remote Sens.,28, 412–422.

    • Crossref
    • Export Citation
  • ——, and S. H. Park, 1996: Simulation of dual-polarization bistatic scattering from rain and hail. Proc. IGARSS’96, Lincoln, NE, IEEE, 560–562.

  • ——, T. A. Seliga, and V. Balaji, 1986: Remote sensing of hail with a dual linear polarization radar. J. Climate Appl. Meteor.,25, 1475–1484.

    • Crossref
    • Export Citation
  • ——, Y. Zhao, and T. A. Seliga, 1990: A differential reflectivity radar technique for measuring hail: Observations during the Denver hailstorm of 13 June 1984. J. Atmos. Oceanic Technol.,7, 104–113.

    • Crossref
    • Export Citation
  • Balakrishnan, N., and D. S. Zrnić, 1990a: Estimation of rain and hail rates in mixed-phase precipitation. J. Atmos. Sci.,47, 565–583.

    • Crossref
    • Export Citation
  • ——, and ——, 1990b: Use of polarization to characterize precipitation and discriminate large hail. J. Atmos. Sci.,47, 1525–1540.

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

  • Bohren, C. F., and L. J. Battan, 1982: Radar backscattering of microwaves by spongy ice spheres. J. Atmos. Sci.,39, 2623–2628.

    • Crossref
    • Export Citation
  • ——, and D. R. Huffman, 1983: Absorption and Scattering of Light by Small Particles. Wiley and Sons, 530 pp.

  • Bringi, V. N., T. A. Seliga, and K. Aydin, 1984: Hail detection with a differential reflectivity radar. Science,225, 1145–1147.

    • Crossref
    • Export Citation
  • ——, R. M. Rasmussen, and J. Vivekanadan, 1986a: Multiparameter radar measurements in Colorado convective storms, Part I: Graupel melting studies. J. Atmos. Sci.,43, 2545–2563.

    • Crossref
    • Export Citation
  • ——, J. Vivekanandan, and J. D. Tuttle, 1986b: Multiparameter radar measurements in Colorado convective storms, Part II: Hail detection studies. J. Atmos. Sci.,43, 2564–2577.

    • Crossref
    • Export Citation
  • Cheng, L., and M. English, 1982: Hailstones concentration and size at the ground and the melting level. Preprints, Conf. on Cloud Physics, Chicago, IL, Amer. Meteor. Soc., 423–426.

  • Chylek, P., 1977: Depolarization of electromagnetic radiation scattered by nonspherical particles. J. Opt. Soc. Amer.,67, 175–178.

    • Crossref
    • Export Citation
  • Crane, R. K., 1974: Bistatic scatter from rain. IEEE Trans. Antennas Propag.,22, 312–320.

    • Crossref
    • Export Citation
  • Dibbern, J., 1987: Dependence of radar parameters on polarization properties of rain for bistatic CW radar. Radio Sci.,22, 769–779.

    • Crossref
    • Export Citation
  • Doviak, R. J., and C. M. Weil, 1972: Bistatic radar detection of the melting layer. J. Appl. Meteor.,11, 1012–1016.

  • ——, and D. S. Zrnić, 1993: Doppler Radar and Weather Observations. 2d ed. Academic Press, 562 pp.

  • Eccles, P., and P. Rogers, 1968: Relationship between rainfall rate and other measurable parameters of precipitation, the bistatic radar equation. Preprints, 13th Conf. on Radar Meteorology. Montreal, PQ, Canada, Amer. Meteor. Soc., 364–369.

  • Goddard, J. W. F., S. M. Cherry, and V. N. Bringi, 1982: Comparison of dual-polarization radar measurements of rain with ground-based disdrometer measurements. J. Appl. Meteor.,21, 252–256.

    • Crossref
    • Export Citation
  • Green, A. W., 1975: An approximation for the shapes of large raindrops. J. Appl. Meteor.,14, 1578–1583.

    • Crossref
    • Export Citation
  • Illingworth, A. J., J. W. F. Goddard, and S. M. Cherry, 1986: Detection of hail by dual-polarization radar. Nature,320, 431–433.

    • Crossref
    • Export Citation
  • Jameson, A., 1985: On deducing the microphysical character of precipitation from multiple-parameter radar polarization measurements. J. Climate Appl. Meteor.,24, 1037–1047.

    • Crossref
    • Export Citation
  • Joss, J., J. C. Thams, and A. Waldvogel, 1968: The variation of raindrop size distributions at Locarno. Proc. Int. Conf. on Cloud Physics, Toronto, ON, Canada, Amer. Meteor. Soc., 369–373.

  • Knight, C. A., and N. C. Knight, 1970: The falling behavior of hailstones. J. Atmos. Sci.,27, 672–681.

    • Crossref
    • Export Citation
  • Knight, N. C., 1986: Hailstone shape factor and its relation to radar interpretation of hail. J. Climate Appl. Meteor.,25, 1956–1958.

    • Crossref
    • Export Citation
  • Kry, P. R., and R. List, 1974: Angular motions of freely falling spheroidal hailstone models. Phys. Fluids,17, 1093–1102.

    • Crossref
    • Export Citation
  • List, R., U. W. Rentsch, A. C. Byram, and E. P. Lozowski, 1973: On the aerodynamics of spheroidal hailstone models. J. Atmos. Sci.,30, 653–661.

    • Crossref
    • Export Citation
  • Matson, R. J., and A. W. Huggins, 1980: The direct measurement of the sizes, shapes and kinematics of falling hailstones. J. Atmos. Sci.,37, 1107–1125.

    • Crossref
    • Export Citation
  • Olsen, R. L., and U. H. W. Lammers, 1978: Bistatic radar measurements of ice-cloud reflectivities in the upper-troposphere. Electron. Lett.,14, 219–221.

    • Crossref
    • Export Citation
  • Park, S. H., 1996: Simulations of dual-polarization bistatic scattering from rain and hail. M.S. thesis, Dept. of Electrical Engineering, The Pennsylvania State University, 123 pp.

  • Ray, P. S., 1972: Broadband complex refractive indicies of ice and water. Appl. Opt.,11, 1836–1844.

    • Crossref
    • Export Citation
  • Roos, D. V. D. S., and A. E. Carte, 1973: The falling behavior of oblate and spiky hailstones. J. Rech. Atmos.,7, 39–52.

  • Seliga, T. A., and V. N. Bringi, 1976: Potential use of radar reflectivity measurements at orthogonal polarizations for measuring precipitation. J. Appl. Meteor.,15, 69–76.

    • Crossref
    • Export Citation
  • ——, and ——, 1978: Differential reflectivity and differential phase shift: Applications in radar meteorology. Radio Sci.,13, 271–275.

    • Crossref
    • Export Citation
  • Shupyatsky, A. B., 1974: Echo depolarization as measured with bistatic radar. J. Rech. Atmos.,8, 201–204.

  • Vivekanandan, J., V. N. Bringi, and R. Raghavan, 1990: Multiparameter radar modeling and observations of melting ice. J. Atmos. Sci.,47, 549–564.

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

  • Wurman, J., 1994: Vector winds from a single-transmitter bistatic dual Doppler radar network. Bull. Amer. Meteor. Soc.,75, 983–994.

    • Crossref
    • Export Citation
  • ——, S. Heckman, and D. Boccippio, 1993: A bistatic multiple-Doppler network. J. Appl. Meteor.,32, 1802–1814.

    • Crossref
    • Export Citation
  • ——, M. Randall, C. L. Frush, E. Loew, and C. L. Holloway, 1994:Design of a bistatic dual-Doppler radar for retrieving vector winds using one transmitter and a remote low-gain passive receiver. Proc. IEEE,82, 1861–1872.

    • Crossref
    • Export Citation
  • Zrnić, D. S., N. Balakrishnan, C. L. Ziegler, V. N. Bringi, K. Aydin, and T. Matejka, 1993a: Polarimetric signatures in the stratiform region of a mesoscale convective system. J. Appl. Meteor.,32, 678–693.

    • Crossref
    • Export Citation
  • ——, V. N. Bringi, N. Balakrishnan, K. Aydin, V. Chandrasekar, and J. Hubbert, 1993b: Polarimetric measurements in a severe hailstorm. Mon. Wea. Rev.,121, 2223–2238.

    • Crossref
    • Export Citation
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