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Tracking radar echoes by multiscale correlation: a nowcasting weather radar a

机译:通过多尺度相关性跟踪雷达回波:临近预报的气象雷达

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Abstract: An algorithm for storm tracking through weather radar data is presented. It relies on the crosscorrelation principle as in TREC (Tracking Radar Echoes by Correlation) and derived algorithms. The basic idea is to subdivide the radar maps in Cartesian format in a grid of square boxes and to exploit the so called local translation hypothesis. The motion vector is estimated as the space shift such that corresponding boxes at different times exhibit the maximum correlation coefficient. The discussed technique adopts a multiscale, multiresolution, and partially overlapped box grid which adapts to the radar reflectivity pattern. Multiresolution decomposition is performed through 2D wavelet based filtering. Correlation coefficients are calculated taking into account unreliable data (e.g. due to ground clutter or beam shielding) in order to avoid strong undesired motion estimation biases due to the presence of such stationary features. Data are gathered through a C-band multipolarimetric doppler weather radar. Results show that the technique overcomes some problems highlighted by researchers in previous related studies. Comparison with radial velocity maps shows good correlation values; although they may vary depending on the specific event and on the orographic complexity of the considered area, estimated motion fields are consistent with the shift of the pattern determined through simple visual inspection. !12
机译:摘要:提出了一种通过天气雷达数据进行风暴跟踪的算法。它依赖于TREC(通过相关跟踪雷达回波)中的互相关原理和派生算法。基本思想是将笛卡尔格式的雷达图细分为方盒网格,并利用所谓的本地平移假设。将运动矢量估计为空间偏移,以使不同时间的相应框显示出最大相关系数。所讨论的技术采用了多尺度,多分辨率和部分重叠的箱形栅格,该栅格适应了雷达的反射率模式。多分辨率分解是通过基于2D小波的滤波执行的。计算相关系数时要考虑到不可靠的数据(例如,由于地物杂波或波束屏蔽造成的),以避免由于这种静止特征的存在而产生的强烈的不希望有的运动估计偏差。通过C波段多极化多普勒天气雷达收集数据。结果表明,该技术克服了以前相关研究人员强调的一些问题。与径向速度图的比较显示出良好的相关值;尽管它们可能会根据特定事件和所考虑区域的地形复杂性而有所不同,但估计的运动场与通过简单的目视检查确定的图案偏移是一致的。 !12

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