笛卡儿坐标系的双多普勒天气雷达三维风场反演技术

A NEW TECHNIQUE OF RECOVERING THREE-DIMENSIONAL WIND FIELDS FROM SIMULATED DUAL-DOPLER RADAR DATA IN THE CARTESIAN SPACE

  • 摘要: 文中研究了笛卡尔坐标系下双多普勒天气雷达三维风场反演技术,提出了包括雷达原始资料的预处理,空间插值以及可靠性检验的新方法,提高了反演结果的可信度和精确度。使用模拟的双多普勒雷达体扫资料进行了反演试验,结果表明:本文的方法能够比较真实地反映风场的三维结构,可以用于真实风场的反演。

     

    Abstract: A new technique of deriving three dimensional wind fields is investigated from the Dual-Doppler weather radar radial wind which is based on the Cartesian space using variational method. It provides a simultaneous resolution of three wind components and satisfies both the minimal dual-equation system and the continuity equation. The most advantage of this method is that can remove the potential draw back of an iterative solution of Cartesian dual-Doppler analysis techniques (It is a major demerit that retrieves the vertical velocity using mass continuity equation with iterative method). The data pre-process technology and interpolation are also studied. We developed a three dimensional Cressman weighting function to process the interpolation. In order to test the capability and advantage of this method, one numerical experiment based on simulate radar observations is designed. Firstly, we synthesize the dual-Doppler radar radial velocity and reflectivity from the numerical model. Then, the three dimensional wind components are retrieved from the radial velocity and reflectivity using this new technique. The retrieved three-dimensional wind fields are found to be quite consisted with those previously simulate winds fields. Mean difference, Root-mean-square error and relative deviation are defined to test the precise of the new method. These statistic errors reveal the accuracy and the advantage of this method. The numerical experiment definitely testifies that this new technique can be used to retrieve the three-dimensional wind fields from the radial velocity and reflectivity detected by the real Dual-Doppler weather radar.

     

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