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作 者:陈宏波[1,2] 闵锦忠[1] 丁文文 蒋骏[2] 钱昊钟
机构地区:[1]南京信息工程大学,江苏南京210044 [2]常州市气象局,江苏常州213000 [3]金坛市气象局,江苏金坛213299 [4]宜兴市气象局,江苏宜兴214206
出 处:《内蒙古气象》2015年第3期18-23,共6页Meteorology Journal of Inner Mongolia
摘 要:速度退模糊方法的基本思路一般是先找到可靠观测,以可靠观测为基础进行空间连续性检查。文章设计了模拟的雷达径向风资料,对比了两种典型的自动退模糊方法,一种Zhangjian的基于零风速线的方法;另外一种是Xuqin的基于反演平均风的方法。模拟资料的检验结果表明:(1)Zhangjian的方案对零风速线与某一条径线较匹配时,会取得较好效果,否则找不到弱风区,退模糊失败;(2)Xuqin的方案对非线性很敏感,非线性越强,效果越差。文中设计了一种寻找弱风区确切位置的算法。使用模拟资料的测试效果表明,新方案继承了零线方案的优点,另外,当零风速线的走向与观测径线差异较大时,仍然可以取得较好的结果。The basic thinking of velocity dealiasing method was to find the trustworthy observation values generally, and doing the spatial continuity check. This paper compared two automated representative dealiasing method, one is the method designed by Zhangjian, the other one is offered by Qin Xu, using the simulated data designed in this paper. It is showed that when zero wind speed line matches with one of radial lines, the method designed by zhangjian performs well, contrary, it fails. When the real wind is intensely nonlinear, the method offered by Qin Xu will gain incorrect result. This paper designed a scheme which could determine the position of zero wind speed line. The new dealiasing method inherit the advantage of the scheme offered by zhangjian, in addition, it can gain good result when the difference between then zero wind speed line and everyone of the radial line.
分 类 号:P415.2[天文地球—大气科学及气象学]
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