Article Type:
Research Article

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

Qingnong Xiao National Center for Atmospheric Research,* Boulder, Colorado

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Ying-Hwa Kuo National Center for Atmospheric Research,* Boulder, Colorado

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Juanzhen Sun National Center for Atmospheric Research,* Boulder, Colorado

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Wen-Chau Lee National Center for Atmospheric Research,* Boulder, Colorado

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Dale M. Barker National Center for Atmospheric Research,* Boulder, Colorado

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Eunha Lim Korea Meteorological Administration, Seoul, Korea

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Print Publication:
01 Jan 2007
DOI:
https://doi.org/10.1175/JAM2439.1
Page(s):
14–22
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Abstract

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.

* The National Center for Atmospheric Research is sponsored by the National Science Foundation

Corresponding author address: Qingnong Xiao, NCAR, MMM, P.O. Box 3000, Boulder, CO 80307-3000. Email: hsiao@ucar.edu

Abstract

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.

* The National Center for Atmospheric Research is sponsored by the National Science Foundation

Corresponding author address: Qingnong Xiao, NCAR, MMM, P.O. Box 3000, Boulder, CO 80307-3000. Email: hsiao@ucar.edu

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Journal of Applied Meteorology and Climatology

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