摘要
对Zhang Jian提出的二维多途径自动退速度模糊方法进行了改进。原方法从弱风切变区确定一系列参考径向,使用这些参考径向对其相邻库进行逐库连续性检测和模糊订正。由于中小尺度系统的扰动和弧立回波区的影响,有时很难获得比较准确的供参考的相邻库,这将对进一步的退速度模糊过程产生很大的影响。针对这个问题,在连续性检测的过程中,先确定疑似速度模糊边界,然后识别出速度模糊边界和速度模糊区域。在模糊订正的过程中,采用扩展邻域的方法,扩大参考库的范围进行模糊订正。为了检验改进方法的性能,采用大量的雷达体扫个例进行试验。结果表明,该文的改进方法能够较准确地识别出速度模糊的边界和区域,同时具有较好的退速度模糊效果。
Zhang Jian＇s automated 2D multi pass velocity dealiasing algorithm based on the horizontal con- finuity of velocity fields is improved in this paper. In Zhang Jian＇s method, a set of initial reference radials and gates are obtained by finding the weakest wind region, and then with these initial reference radials and gates, the continuities among adjacent gates are checked and the aliased velocity values are corrected. However, it is hard to precisely obtain reference radials and gates because real wind field is interfered by meso- or small-scale system, and isolated echo zone, which will influence the velocity dealiasing process greatly. Therefore, the improved algorithm is proposed for this problem. In the continuous detection processes, the aliased velocity suspected boundaries are determined, and then the aliased boundaries and velocity regions are identified. After that, an extend neighborhood scheme is applied to correct the aliased velocity gates in the aliased velocity region in the aliased velocity revision process. In addition, by lots of radar volume scan experiments, it is found that the discussed method is effective in velocity dealiasing,which is significantly better than Zhang Jian＇s scheme and WSR-88D scheme.
出处
《气象》
CSCD
北大核心
2013年第5期616-622,共7页
Meteorological Monthly
基金
浙江省科技厅优先主题社会重点发展项目(2009C03008-2)资助
关键词
多普勒雷达
退速度模糊
速度模糊区域
扩展邻域法
Doppler radar, velocity dealiasing, velocity aliasing region, extend neighborhood scheme
