Polarimetric Radar Observation of the Melting Layer in a Convective Rainfall System during the Rainy Season over the East China Sea

Yukari Shusse Hydrospheric Atmospheric Research Center, Nagoya University, Nagoya, Japan

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Nobuhiro Takahashi National Institute of Information and Communications Technology, Koganei, Japan

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Katsuhiro Nakagawa National Institute of Information and Communications Technology, Koganei, Japan

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Shinsuke Satoh National Institute of Information and Communications Technology, Koganei, Japan

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Toshio Iguchi National Institute of Information and Communications Technology, Koganei, Japan

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Abstract

During the rainy season over the East China Sea, convective rainfalls often show melting layer (ML) characteristics in polarimetric radar variables. In this research, the appearance ratio of the ML (the ratio of rainfall area accompanied by polarimetric ML signatures) and the variation in height of the level of the ML signature maximum (MLSM level; defined by the level of the ρhv minimum in the ML) in a convective rainfall region in a rainfall system over the East China Sea observed on 2 June 2006 were studied using C-band polarimetric radar (COBRA). For this analysis, a method of rainfall type classification that evaluates the presence of an ML in addition to providing conventional convective–stratiform classification using range–height indicator (RHI) observation data was developed. This rainfall type classification includes two steps: conventional convective–stratiform separation using the horizontal distribution of Zh at 2-km altitude, and ML detection using the vertical profile of ρhv at each horizontal grid point. Using a combination of these two classifications, the following four rainfall types were identified: 1) convective rainfall with an ML, 2) convective rainfall with no ML, 3) stratiform rainfall with an ML, and 4) stratiform rainfall with no ML. An ML was detected in 53.9% of the convective region in the rainfall system. Using the same definition, an ML was detected in 83.1% of the stratiform region. The ML in the convective region showed a marked decrease in ρhv coincident with an increase in ZDR around the ambient 0°C level, as did that in the stratiform region. Melting aggregated snow was the likely cause of the ML signature in the convective region. The average height of the MLSM level in the convective region was 4.64 km, which is 0.46 km higher than that in the stratiform region (4.18 km) and 0.27 km higher than the ambient 0°C level (4.37 km).

* Current affiliation: Storm, Flood and Landslide Research Department, National Research Institute for Earth Science and Disaster Prevention, Tsukuba, Ibaraki, Japan

Corresponding author address: Yukari Shusse, Storm, Flood and Landslide Research Department, National Research Institute for Earth Science and Disaster Prevention, 3-1, Tennodai, Tsukuba, Ibaraki, 305-0006, Japan. Email: shusse@bosai.go.jp

Abstract

During the rainy season over the East China Sea, convective rainfalls often show melting layer (ML) characteristics in polarimetric radar variables. In this research, the appearance ratio of the ML (the ratio of rainfall area accompanied by polarimetric ML signatures) and the variation in height of the level of the ML signature maximum (MLSM level; defined by the level of the ρhv minimum in the ML) in a convective rainfall region in a rainfall system over the East China Sea observed on 2 June 2006 were studied using C-band polarimetric radar (COBRA). For this analysis, a method of rainfall type classification that evaluates the presence of an ML in addition to providing conventional convective–stratiform classification using range–height indicator (RHI) observation data was developed. This rainfall type classification includes two steps: conventional convective–stratiform separation using the horizontal distribution of Zh at 2-km altitude, and ML detection using the vertical profile of ρhv at each horizontal grid point. Using a combination of these two classifications, the following four rainfall types were identified: 1) convective rainfall with an ML, 2) convective rainfall with no ML, 3) stratiform rainfall with an ML, and 4) stratiform rainfall with no ML. An ML was detected in 53.9% of the convective region in the rainfall system. Using the same definition, an ML was detected in 83.1% of the stratiform region. The ML in the convective region showed a marked decrease in ρhv coincident with an increase in ZDR around the ambient 0°C level, as did that in the stratiform region. Melting aggregated snow was the likely cause of the ML signature in the convective region. The average height of the MLSM level in the convective region was 4.64 km, which is 0.46 km higher than that in the stratiform region (4.18 km) and 0.27 km higher than the ambient 0°C level (4.37 km).

* Current affiliation: Storm, Flood and Landslide Research Department, National Research Institute for Earth Science and Disaster Prevention, Tsukuba, Ibaraki, Japan

Corresponding author address: Yukari Shusse, Storm, Flood and Landslide Research Department, National Research Institute for Earth Science and Disaster Prevention, 3-1, Tennodai, Tsukuba, Ibaraki, 305-0006, Japan. Email: shusse@bosai.go.jp

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

  • Bringi, V. N., and V. Chandrasekar, 2001: Polarimetric Doppler Weather Radar: Principles and Applications. Cambridge University Press, 636 pp.

    • Search Google Scholar
    • Export Citation
  • Bringi, V. N., R. M. Rasmussen, and J. Vivekanandan, 1986: Multiparameter radar measurements in Colorado convective storms. Part I: Graupel melting studies. J. Atmos. Sci., 43 , 25452563.

    • Search Google Scholar
    • Export Citation
  • Bringi, V. N., K. Knupp, A. Detwiler, L. Liu, I. J. Caylor, and R. A. Black, 1997: Evolution of a Florida thunderstorm during the Convection and Precipitation/Electrification Experiment: The case of 9 August 1991. Mon. Wea. Rev., 125 , 21312160.

    • Search Google Scholar
    • Export Citation
  • Cressman, G. P., 1959: An operational objective analysis system. Mon. Wea. Rev., 87 , 367374.

  • 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
  • Gibson, S. R., and R. E. Stewart, 2007: Observation of ice pellets during a winter storm. Atmos. Res., 85 , 6476.

  • Ikeda, K., E. A. Brandes, and R. M. Rasmussen, 2005: Polarimetric radar observation of multiple freezing levels. J. Atmos. Sci., 62 , 36243636.

    • Search Google Scholar
    • Export Citation
  • Nakagawa, K., H. Hanado, S. Satoh, N. Takahashi, T. Iguchi, and K. Fukutani, 2003: Development of a new C-band bistatic polarimetric radar and observation of typhoon events. Preprints, 31st Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., 863–866. [Available online at http://ams.confex.com/ams/pdfpapers/64101.pdf].

    • Search Google Scholar
    • Export Citation
  • Oue, M., H. Uyeda, and Y. Shusse, 2010: Two types of precipitation particle distribution in convective cells accompanying a Baiu frontal rainband around Okinawa Island, Japan. J. Geophys. Res., 115 , D02201. doi:10.1029/2009JD011957.

    • Search Google Scholar
    • Export Citation
  • Rosenfeld, D., E. Amitai, and D. B. Wolff, 1995: Classification of rain regimes by the three-dimensional properties of reflectivity fields. J. Appl. Meteor., 34 , 198211.

    • 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, 1998: Discrimination between rain and snow with a polarimetric radar. J. Appl. Meteor., 37 , 12281240.

    • Search Google Scholar
    • Export Citation
  • Ryzhkov, A. V., S. Giangrande, A. Khain, M. Pinsky, and A. Pokrovsky, 2008: Exploring model-based polarimetric retrieval of vertical profiles of precipitation. Preprints, Fifth European Conf. on Radar in Meteorology and Hydrology (ERAD 2008), Helsinki, Finland, Finnish Meteorological Institute. [Available online at http://erad2008.fmi.fi/proceedings/extended/erad2008-0094-extended.pdf].

    • Search Google Scholar
    • Export Citation
  • Shusse, Y., K. Nakagawa, N. Takahashi, S. Satoh, and T. Iguchi, 2009: Characteristics of polarimetric radar variables in three types of rainfalls in a Baiu front event over the East China Sea. J. Meteor. Soc. Japan, 87 , 865875.

    • Search Google Scholar
    • Export Citation
  • Smith, P. L., D. J. Musil, A. G. Detwiler, and R. Ramachandran, 1999: Observations of mixed-phase precipitation within a CaPE thunderstorm. J. Appl. Meteor., 38 , 145155.

    • Search Google Scholar
    • Export Citation
  • Steiner, M., R. A. Houze Jr., and S. E. Yuter, 1995: Climatological characterization of three-dimensional storm structure from operational radar and rain gauge data. J. Appl. Meteor., 34 , 19782007.

    • Search Google Scholar
    • Export Citation
  • Tabary, P., A. Le Henaff, G. Vulpiani, J. Parent-du-Châtelet, and J. J. Gourley, 2006: Melting layer characterization and identification with a C-band dual-polarization radar: A long-term analysis. Preprints, Fourth European Conf. on Radar in Meteorology and Hydrology (ERAD 2006), Barcelona, Spain, Servei Meteorologic de Catalunya, 17–20.

    • Search Google Scholar
    • Export Citation
  • Teshiba, M. S., P. B. Chilson, A. V. Ryzhkov, T. J. Schuur, and R. D. Palmer, 2009: A combined wind profiler and polarimetric weather radar method for the investigation of precipitation and vertical velocities. J. Atmos. Oceanic Technol., 26 , 19401955.

    • Search Google Scholar
    • Export Citation
  • Tokay, A., and D. A. Short, 1996: Evidence from tropical raindrop spectra of the origin of rain from stratiform versus convective clouds. J. Appl. Meteor., 35 , 355371.

    • Search Google Scholar
    • Export Citation
  • Tokay, A., D. A. Short, C. R. Williams, W. L. Ecklund, and K. S. Gage, 1999: Tropical rainfall associated with convective and stratiform clouds: Intercomparison of disdrometer and profiler measurements. J. Appl. Meteor., 38 , 302320.

    • Search Google Scholar
    • Export Citation
  • Williams, C. R., W. L. Ecklund, and K. S. Gage, 1995: Classification of precipitating clouds in the tropics using 915-MHz wind profilers. J. Atmos. Oceanic Technol., 12 , 9961012.

    • Search Google Scholar
    • Export Citation
  • 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
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