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Dealiasing Doppler Velocities Measured by a Bistatic Radar Network during a Downburst-Producing Thunderstorm

机译:消除产生暴发雷暴期间双基地雷达网络测得的多普勒速度的混叠

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The object of this paper was to develop an automated dealiasing scheme that dealiases Doppler velocities measured by a bistatic Doppler radar network. The particular network consists of the C-band polarimetric diversity Doppler radar, POLDIRAD, and three passive receivers located at remote sites. The wind components, independent but measured simultaneously, are then merged to a horizontal wind vector field. In order to dealias these independent wind components separately, the real-time four-dimensional Doppler dealiasing scheme (4DD) developed by James and Houze was modified. In altering 4DD, the main difficulties arose from dealiasing bistatically measured Doppler velocities, the spatial data inhomogeneity, and to a lesser extent, from the small spatial coverage of bistatic data due to the limited size of the bistatic antenna's aperture. Furthermore, an internal dealiasing algorithm was added to 4DD that uses the full wind vector information to optimize dealising of small isolated cells. Because the determination of microphysical and dynamical parameters requires alternating or fixed polarization bases, respectively, two different scanning strategies are developed to determine these parameters effectively during both slowly and rapidly evolving weather events. An example is presented of dealiasing monostatically and bistatically measured Doppler velocities which were acquired using both scanning modes to observe a downburst-producing thunderstorm.
机译:本文的目的是开发一种自动去脱象方案,该方案可以对由双基地多普勒雷达网络测得的多普勒速度进行脱脱。特定的网络由C波段极化分集多普勒雷达,POLDIRAD和位于远程站点的三个无源接收器组成。然后将独立但同时测量的风分量合并到水平风矢量场。为了分别处理这些独立的风分量,对James和Houze所开发的实时四维多普勒处理方案(4DD)进行了修改。在改变4DD时,主要困难是由于脱除双基地测得的多普勒速度,空间数据不均匀性以及在较小程度上由于双基地天线孔径有限而导致的双基地数据空间覆盖范围较小。此外,将内部脱碳算法添加到4DD中,该算法使用完整的风向信息来优化小型隔离单元的脱膜。由于确定微物理参数和动力学参数分别需要交替或固定的极化基准,因此开发了两种不同的扫描策略来在缓慢和快速发展的天气事件中有效地确定这些参数。给出了一个示例,其中介绍了使用两种扫描模式获取的单静态和双静态多普勒速度的脱碳方法,以观察产生爆发性雷暴。

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