Inferring Fall Attitudes of Pristine Dendritic Crystals from Polarimetric Radar Data

Sergey Y. Matrosov Cooperative Institute for Research in Environmental Sciences, University of Colorado, and NOAA/Environmental Technology Laboratory, Boulder, Colorado

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Roger F. Reinking Science and Technology Corp., and NOAA/Environmental Technology Laboratory, Boulder, Colorado

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Irina V. Djalalova Science and Technology Corp., and NOAA/Environmental Technology Laboratory, Boulder, Colorado

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Abstract

Single pristine planar ice crystals exhibit some flutter around their preferential horizontal orientation as they fall. This study presents estimates of flutter and analyzes predominant fall attitudes of pristine dendritic crystals observed with a polarization agile Ka-band cloud radar. The observations were made in weakly precipitating winter clouds on slopes of Mt. Washington, New Hampshire. The radar is capable of measuring the linear depolarization ratios in the standard horizontal–vertical polarization basis (HLDR) and the slant 45°–135° polarization basis (SLDR). Both HLDR and SLDR depend on crystal shape. HLDR also exhibits a strong dependence on crystal orientation, while SLDR depends only weakly on orientation. The different sensitivities of SLDR and HLDR to the shape and orientation effects are interpreted to estimate the angular flutter of crystals. A simple analytical expression is derived for the standard deviation of angular flutter as a function of the HLDR to SLDR ratio assuming perfect radar system characteristics. The flutter is also assessed by matching theoretical and observed depolarization patterns as a function of the elevation of the radar’s beam. The matching procedure is generally more robust since it accounts for the actual polarization states and imperfections in the radar hardware. The depolarization approach was used to estimate flutter of falling pristine dendrites that were characterized by Reynolds numbers in a range of approximately 40–100. Using the matching approach, this flutter was found to be about 9° ± 3°, as expressed by the standard deviation of the crystal minor axes from the vertical direction. The analytical expression provides a value of flutter of about 12°, which is at the high end of the estimate obtained by the matching procedure. The difference is explained by the imperfections in the polarization states and radar hardware, so the analytical result serves as an upper bound to the more robust result from matching. The values of flutter estimated from the experimental example are comparable to estimates for planar crystals obtained in laboratory models and by individual crystal sampling.

Corresponding author address: Dr. Sergey Y. Matrosov, CIRES, University of Colorado, and NOAA/Environmental Technology Laboratory, 325 Broadway, R/ET7, Boulder, CO 80305. Email: sergey.matrosov@noaa.gov

Abstract

Single pristine planar ice crystals exhibit some flutter around their preferential horizontal orientation as they fall. This study presents estimates of flutter and analyzes predominant fall attitudes of pristine dendritic crystals observed with a polarization agile Ka-band cloud radar. The observations were made in weakly precipitating winter clouds on slopes of Mt. Washington, New Hampshire. The radar is capable of measuring the linear depolarization ratios in the standard horizontal–vertical polarization basis (HLDR) and the slant 45°–135° polarization basis (SLDR). Both HLDR and SLDR depend on crystal shape. HLDR also exhibits a strong dependence on crystal orientation, while SLDR depends only weakly on orientation. The different sensitivities of SLDR and HLDR to the shape and orientation effects are interpreted to estimate the angular flutter of crystals. A simple analytical expression is derived for the standard deviation of angular flutter as a function of the HLDR to SLDR ratio assuming perfect radar system characteristics. The flutter is also assessed by matching theoretical and observed depolarization patterns as a function of the elevation of the radar’s beam. The matching procedure is generally more robust since it accounts for the actual polarization states and imperfections in the radar hardware. The depolarization approach was used to estimate flutter of falling pristine dendrites that were characterized by Reynolds numbers in a range of approximately 40–100. Using the matching approach, this flutter was found to be about 9° ± 3°, as expressed by the standard deviation of the crystal minor axes from the vertical direction. The analytical expression provides a value of flutter of about 12°, which is at the high end of the estimate obtained by the matching procedure. The difference is explained by the imperfections in the polarization states and radar hardware, so the analytical result serves as an upper bound to the more robust result from matching. The values of flutter estimated from the experimental example are comparable to estimates for planar crystals obtained in laboratory models and by individual crystal sampling.

Corresponding author address: Dr. Sergey Y. Matrosov, CIRES, University of Colorado, and NOAA/Environmental Technology Laboratory, 325 Broadway, R/ET7, Boulder, CO 80305. Email: sergey.matrosov@noaa.gov

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  • Bohren, C. F., and D. R. Huffman, 1983: Absorption and Scattering of Light by Small Particles. John Wiley and Sons, 530 pp.

  • Dungey, C. E., and C. F. Bohren, 1993: Backscattering by nonspherical hydrometeors as calculated by the coupled-dipole method: An application in radar meteorology. J. Atmos. Oceanic Technol., 10 , 526532.

    • Search Google Scholar
    • Export Citation
  • Hendry, A., Y. M. M. Antar, and G. C. McCormic, 1987: On the relationship between the degree of preferred orientation in precipitation and dual-polarization radar echo characteristics. Radio Sci., 22 , 3750.

    • Search Google Scholar
    • Export Citation
  • Heymsfield, A. J., 1972: Ice crystal terminal velocities. J. Atmos. Sci., 29 , 13481357.

  • Holt, A. R., 1984: Some factors affecting the remote sensing of rain by polarization diversity radar in 3- to 35-GHz frequency range. Radio Sci., 47 , 13991421.

    • Search Google Scholar
    • Export Citation
  • Kajikawa, M., 1976: Observation of falling motion of columnar snow crystals. J. Meteor. Soc. Japan, 54 , 276283.

  • Kajikawa, M., 1992: Observations of the falling motion of plate-like snow crystals, Part I: The free-fall patterns and velocity variations of unrimed crystals. J. Meteor. Soc. Japan, 70 , 19.

    • Search Google Scholar
    • Export Citation
  • Korolev, A. V., G. A. Isaac, and J. Hallet, 2000: Ice particle habits in stratiform clouds. Quart. J. Roy. Meteor. Soc., 126 , 28732902.

    • Search Google Scholar
    • Export Citation
  • Mallman, A. J., J. L. Hock, and R. G. Greenler, 1980: Comparison of sun pillar with light pillars from nearby light sources. Appl. Opt., 37 , 14411449.

    • Search Google Scholar
    • Export Citation
  • Matrosov, S. Y., 1991: Theoretical study of radar polarization parameters obtained from cirrus clouds. J. Atmos. Sci., 48 , 10621070.

  • Matrosov, S. Y., 1992: Radar reflectivity in snowfall. IEEE Trans. Geosci. Remote Sens., 30 , 454461.

  • Matrosov, S. Y., and R. A. Kropfli, 1993: Cirrus cloud studies with elliptically polarized Ka-band radar signals: A suggested approach. J. Atmos. Oceanic Technol., 10 , 684692.

    • Search Google Scholar
    • Export Citation
  • Matrosov, S. Y., R. F. Reinking, R. A. Kropfli, and B. W. Bartram, 1996: Estimations of ice hydrometeor types and shapes from radar polarization measurements. J. Atmos. Oceanic Technol., 13 , 8596.

    • Search Google Scholar
    • Export Citation
  • Matrosov, S. Y., R. F. Reinking, R. A. Kropfli, B. E. Martner, and B. W. Bartram, 2001: On the use of radar depolarization ratios for estimating shapes of ice hydrometeors in winter clouds. J. Appl. Meteor., 40 , 479490.

    • Search Google Scholar
    • Export Citation
  • Mazin, I. P., and A. K. Khrgian, 1989: Clouds and Cloudy Atmosphere. Gidrometeoizdat, 648 pp.

  • Platt, C. M. R., 1978: Lidar backscattering from horizontal ice crystal plates. J. Appl. Meteor., 17 , 482488.

  • Pruppacher, H. R., and J. D. Klett, 1997: Microphysics of Clouds and Precipitation. Kluwer Academic, 954 pp.

  • Reinking, R. F., S. Y. Matrosov, R. A. Kropfli, and B. W. Bartram, 2002: Evaluation of a 45° slant quasi-linear radar polarization state for distinguishing drizzle droplets, pristine ice crystals, and less regular ice particles. J. Atmos. Oceanic Technol., 19 , 296321.

    • Search Google Scholar
    • Export Citation
  • Ryerson, C. C., M. K. Politovich, K. L. Rancourt, G. G. Koening, and R. F. Reinking, 2000: Mt. Washington Icing Sensors Project: Conduct and preliminary results. Proc. 38th AAIA Aerospace Science Meeting and Exhibit, Paper No. AAIA-2000-0488, Reno, NV, AIAA, 10 pp.

  • Sassen, K., 1980: Remote sensing of planar ice crystal fall attitudes. J. Meteor. Soc. Japan, 58 , 422429.

  • Zikmunda, J., and G. Vali, 1972: Fall patterns and fall velocities of rimed ice crystals. J. Atmos. Sci., 29 , 13341347.

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