Numerical Estimation of Error Variance in Horizontal Divergence for the Adjustment of Vertical Winds Derived from Conical-Scan-Based Dual-Doppler Radar Data based on the "Floating Boundary Condition" Concept.

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  • 多仰角PPI観測に基づくデュアルドップラーレーダー解析から算出された鉛直流を “Floating Boundary Condition” を用いて補正するための、水平発散に含まれる誤差分散の数値実験による見積もり

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Error variance in a horizontal divergence field due to random error in raw radial velocity data was numerically estimated in order to apply the “floating boundary condition” concept developed by Chong and Testud (1983) to the adjustment of vertical wind fields derived from conical-scan-based dual-Doppler radar observation. A filter for interpolating raw radial velocity data onto common grids consisted of a combination of distance-weighted spatial averaging and a Cressman weighting function. Two cases, —shallow and deep—, were considered with error variance and gain estimated for both, using three influence volumes of sphere and oblate spheroids. Results without vertical shear showed for the two cases that the filter retrieved original wind fields well regardless of the shapes of influence volume considered, and that the distortion of wind fields through filtering was negligible for the horizontal scale of meteorological interests to be observed by dual-Doppler radar synthesis. For such a scale, the error variance was considered constant, and was almost equal to that in noise only, in which random noise alone accounted for simulated Doppler velocities. Based on results for noise only, a simple way to estimate error variance in horizontal divergence in terms of rms of random error in raw radial velocity data was presented for different baseline lengths. These estimates may be used for most vertical wind adjustment by floating boundary condition because the presence of vertical shear would not considerably alter estimates.

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Details 詳細情報について

  • CRID
    1390282681435462016
  • NII Article ID
    130004484878
  • DOI
    10.2467/mripapers.48.49
  • ISSN
    18806643
    0031126X
  • Text Lang
    en
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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