Retrieval of High-Resolution Wind Fields over the Southern Korean Peninsula Using the Doppler Weather Radar Network

S-G. Park Atmospheric Science Program, School of Earth and Environmental Sciences, Seoul National University, Seoul, Korea

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Dong-Kyou Lee Atmospheric Science Program, School of Earth and Environmental Sciences, Seoul National University, Seoul, Korea

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Abstract

The performance of a radar network for retrieving high-resolution wind fields over South Korea is examined. The network consists of a total of 18 operational radars. All of the radars possess the Doppler capability and carry out plan position indicator (PPI) volume scans comprising 6–15 elevation steps at every 6 or 10 min. An examination of the coverage of the radar network reveals that the radar network allows the retrieval of three-dimensional high-resolution wind fields over the entire area of the southern Korean Peninsula as well as nearby oceans above a height of approximately 3 km. After the quality control procedures of the radar measurements, the high-resolution wind fields (a few kilometers) are extracted using multiple-Doppler wind synthesis in the Custom Editing and Display of Reduced Information in Cartesian Space (CEDRIC) package developed by NCAR. The radar-retrieved winds are evaluated using the following two rain events: 1) Typhoon Ewiniar in 2006, which resulted in strong winds and heavy rainfall over the entire southern Korean Peninsula, and 2) a well-developed hook echo with a relatively small-scale diameter of about 30 km. The wind fields retrieved from the radar network exhibit counterclockwise rotation around the typhoon center and a general structure around a hook echo such as a cyclonically rotating updraft (i.e., mesocyclone). Comparisons with the wind measurements from four UHF wind profilers for the typhoon case reveal that the u- and υ-wind components retrieved from the radar network deviate by standard deviations of 3.6 and 4.5 m s−1 over ranges from −30 to 20 m s−1 and from 0 to 40 m s−1, respectively. Therefore, it is concluded that the operational radar network has the potential to provide three-dimensional high-resolution wind fields within the mesoscale precipitation systems over almost the entire area of the southern Korean Peninsula.

Corresponding author address: Prof. Dong-Kyou Lee, Atmospheric Science Program, School of Earth and Environmental Sciences, Seoul National University, Seoul 151-747, Korea. Email: dklee@snu.ac.kr

Abstract

The performance of a radar network for retrieving high-resolution wind fields over South Korea is examined. The network consists of a total of 18 operational radars. All of the radars possess the Doppler capability and carry out plan position indicator (PPI) volume scans comprising 6–15 elevation steps at every 6 or 10 min. An examination of the coverage of the radar network reveals that the radar network allows the retrieval of three-dimensional high-resolution wind fields over the entire area of the southern Korean Peninsula as well as nearby oceans above a height of approximately 3 km. After the quality control procedures of the radar measurements, the high-resolution wind fields (a few kilometers) are extracted using multiple-Doppler wind synthesis in the Custom Editing and Display of Reduced Information in Cartesian Space (CEDRIC) package developed by NCAR. The radar-retrieved winds are evaluated using the following two rain events: 1) Typhoon Ewiniar in 2006, which resulted in strong winds and heavy rainfall over the entire southern Korean Peninsula, and 2) a well-developed hook echo with a relatively small-scale diameter of about 30 km. The wind fields retrieved from the radar network exhibit counterclockwise rotation around the typhoon center and a general structure around a hook echo such as a cyclonically rotating updraft (i.e., mesocyclone). Comparisons with the wind measurements from four UHF wind profilers for the typhoon case reveal that the u- and υ-wind components retrieved from the radar network deviate by standard deviations of 3.6 and 4.5 m s−1 over ranges from −30 to 20 m s−1 and from 0 to 40 m s−1, respectively. Therefore, it is concluded that the operational radar network has the potential to provide three-dimensional high-resolution wind fields within the mesoscale precipitation systems over almost the entire area of the southern Korean Peninsula.

Corresponding author address: Prof. Dong-Kyou Lee, Atmospheric Science Program, School of Earth and Environmental Sciences, Seoul National University, Seoul 151-747, Korea. Email: dklee@snu.ac.kr

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  • Albers, S. C., 1995: The LAPS wind analysis. Wea. Forecasting, 10 , 342352.

  • Bargen, D. W., and Brown R. C. , 1980: Interactive radar velocity unfolding. Proc. 19th Conf. on Radar Meteor., Miami, FL, Amer. Meteor. Soc., 278–283.

    • Search Google Scholar
    • Export Citation
  • Benjamin, S. G., and Coauthors, 2004: An hourly assimilation–forecast cycle: The RUC. Mon. Wea. Rev., 132 , 495518.

  • Bluestein, H. B., Unruh W. P. , Dowell D. C. , Hutchinson T. A. , Crawford T. M. , Wood A. C. , and Stein H. , 1997: Doppler radar analysis of the Northfield, Texas, tornado of 25 May 1994. Mon. Wea. Rev., 125 , 212230.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bousquet, O., and Chong M. , 1998: A multiple-Doppler synthesis and continuity adjustment technique (MUSCAT) to recover wind components from Doppler radar measurements. J. Atmos. Oceanic Technol., 15 , 343359.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Browning, K. A., and Wexler R. , 1968: The determination of kinematic properties of a wind fields using Doppler radar. J. Appl. Meteor., 7 , 105113.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chang, P-L., Wang B-S. , Shieh S-L. , and Jou B. J-D. , 2003: Clear-air echo statistics and beam blockage patterns of Taiwan Doppler radar network. Preprints, 31st Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., 7B.8. [Available online at http://ams.confex.com/ams/pdfpapers/64485.pdf.].

    • Search Google Scholar
    • Export Citation
  • Collier, C. G., Ed. 1992: International Weather Radar Networking. Kluwer Academic, 344 pp.

  • Crook, N. A., and Sun J. , 2002: Assimilating radar, surface, and profiler data for the Sydney 2000 Forecast Demonstration Project. J. Atmos. Oceanic Technol., 19 , 888898.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dazhang, T., Geotis S. G. , Passarelli R. E. Jr., Hansen A. L. , and Frush C. L. , 1984: Evaluation of an alternating-PRF method for extending the range of unambiguous Doppler velocity. Preprints, 22nd Conf. on Radar Meteorology, Zurich, Switzerland, Amer. Meteor. Soc., 523–527.

    • Search Google Scholar
    • Export Citation
  • Eilts, M. D., and Smith S. D. , 1990: Efficient dealiasing of Doppler velocities using local environment constraints. J. Atmos. Oceanic Technol., 7 , 118128.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gao, J., Xue M. , Shapiro A. , and Droegemeier K. K. , 1999: A variational method for the analysis of three-dimensional wind fields from two Doppler radars. Mon. Wea. Rev., 127 , 21282142.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Holleman, I., and Beekhuis H. , 2003: Analysis and correction of dual PRF velocity data. J. Atmos. Oceanic Technol., 20 , 443453.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • James, C. N., and Houze R. A. Jr., 2001: A real-time four-dimensional Doppler dealiasing scheme. J. Atmos. Oceanic Technol., 18 , 16741683.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Joe, P., and May P. T. , 2003: Correction of dual PRF velocity errors for operational Doppler weather radars. J. Atmos. Oceanic Technol., 20 , 429442.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, H-W., and Lee D-K. , 2006: An observational study of mesoscale convective systems with heavy rainfall over the Korean Peninsula. Wea. Forecasting, 21 , 125148.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, Y-S., Nam K-Y. , Park O-R. , and Cho C-H. , 2004: Retrieval of horizontal wind field from Doppler radar radial velocity using a successive correction method (in Korean). J. Kor. Meteor. Soc., 40 , 229239.

    • Search Google Scholar
    • Export Citation
  • Klazura, G. E., and Imy D. A. , 1993: A description of the initial set of analysis products available from the NEXRAD WSR-88D system. Bull. Amer. Meteor. Soc., 74 , 12931311.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Köck, K., Leitner T. , Randeu W. L. , Divjak M. , and Schreiber K. J. , 2000: OPERA: Operational Programme for the Exchange of Weather Radar Information: First results and outlook for the future. Phys. Chem. Earth, 25B , 11471151.

    • Search Google Scholar
    • Export Citation
  • Lemon, L., and Doswell C. A. III, 1979: Severe thunderstorm evolution and mesocyclone structure as related to tornadogenesis. Mon. Wea. Rev., 107 , 11841197.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Makihara, Y., 1996: A method for improving radar estimates of precipitation by comparing data from radars and raingauges. J. Meteor. Soc. Japan, 74 , 459480.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Markowski, P. M., 2002: Hook echoes and rear-flank downdrafts: A review. Mon. Wea. Rev., 130 , 852876.

  • May, P. T., 2001: Mesocyclone and microburst signature distortion with dual PRT radars. J. Atmos. Oceanic Technol., 18 , 12291233.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Meischner, P., Collier C. , Illingworth A. , Joss J. , and Randeu W. , 1997: Advanced weather radar systems in Europe: The COST 75 action. Bull. Amer. Meteor. Soc., 78 , 14111430.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mohr, C. G., Miller L. J. , Vaughan R. L. , and Frank H. W. , 1986: The merger of mesoscale datasets into a common Cartesian format for efficient and systematic analyses. J. Atmos. Oceanic Technol., 3 , 143161.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nam, K-Y., Kim Y-H. , Kim K-E. , and Nam J-C. , 2005: Study on the multi-cell storm structure using dual Doppler radars observations (in Korean). J. Kor. Meteor. Soc., 41 , 967981.

    • Search Google Scholar
    • Export Citation
  • Ray, P. S., Wagner K. K. , Johnson K. W. , Stephens J. J. , Bumgarner W. C. , and Mueller E. A. , 1978: Triple-Doppler observations of a convective storm. J. Appl. Meteor., 17 , 12011212.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ray, P. S., Ziegler C. L. , and Bumgarner W. , 1980: Single- and multiple-Doppler radar observations of tornadic storms. Mon. Wea. Rev., 108 , 16071625.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rosenfeld, D., Wolff B. D. , and Atlas D. , 1993: General probability-matched relations between radar reflectivity and rain rate. J. Appl. Meteor., 32 , 5072.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rossa, A. M., 2000: COST-717: Use of radar observations in hydrological and NWP models. Phys. Chem. Earth, 25B , 12211224.

  • Rotunno, R., 1986: Tornadoes and tornadogenesis. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 414–436.

  • Steiner, M., and Smith J. A. , 2002: Use of three-dimensional reflectivity structure for automated detection and removal of nonprecipitating echoes in radar data. J. Atmos. Oceanic Technol., 19 , 673686.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Suk, M-K., Nam K-Y. , Kim Y-H. , and Oh S-N. , 2005: Estimation of quantitative rain intensity from radar reflectivities using a window probability matching method (in Korean). J. Kor. Meteor. Soc., 41 , 123138.

    • Search Google Scholar
    • Export Citation
  • Wakimoto, R. M., Liu C. , and Cai H. , 1998: The Garden City, Kansas, storm during VORTEX 95. Part I: Overview of the storm’s life cycle and mesocyclogenesis. Mon. Wea. Rev., 126 , 372392.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xiao, Q., Kuo Y-H. , Sun J. , Lee W-C. , Lim E. , Guo Y-R. , and Barker D. M. , 2005: Assimilation of Doppler radar observations with a regional 3DVAR system: Impact of Doppler velocities on forecasts of a heavy rainfall case. J. Appl. Meteor., 44 , 768788.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xiao, Q., Kuo Y-H. , Sun J. , Lee W-C. , Barker D. M. , and Lim E. , 2007: An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall. J. Appl. Meteor. Climatol., 46 , 1422.

    • Crossref
    • Search Google Scholar
    • Export Citation
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