An Approach of Radar Reflectivity Data Assimilation and Its Assessment with the Inland QPF of Typhoon Rusa (2002) at Landfall

DOI PDF 被引用文献2件
  • Qingnong Xiao
    National Center for Atmospheric Research,* Boulder, Colorado
  • Ying-Hwa Kuo
    National Center for Atmospheric Research,* Boulder, Colorado
  • Juanzhen Sun
    National Center for Atmospheric Research,* Boulder, Colorado
  • Wen-Chau Lee
    National Center for Atmospheric Research,* Boulder, Colorado
  • Dale M. Barker
    National Center for Atmospheric Research,* Boulder, Colorado
  • Eunha Lim
    Korea Meteorological Administration, Seoul, Korea

書誌事項

公開日
2007-01-01
DOI
  • 10.1175/jam2439.1
公開者
American Meteorological Society

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説明

<jats:title>Abstract</jats:title> <jats:p>A radar reflectivity data assimilation scheme was developed within the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) three-dimensional variational data assimilation (3DVAR) system. The model total water mixing ratio was used as a control variable. A warm-rain process, its linear, and its adjoint were incorporated into the system to partition the moisture and hydrometeor increments. The observation operator for radar reflectivity was developed and incorporated into the 3DVAR. With a single reflectivity observation, the multivariate structures of the analysis increments that included cloud water and rainwater mixing ratio increments were examined. Using the onshore Doppler radar data from Jindo, South Korea, the capability of the radar reflectivity assimilation for the landfalling Typhoon Rusa (2002) was assessed. Verifications of inland quantitative precipitation forecasting (QPF) of Typhoon Rusa (2002) showed positive impacts of assimilating radar reflectivity data on the short-range QPF.</jats:p>

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