知识与财富的链接
X波段雷达虽然其衰减较S和C波段雷达严重, 但是由于其易于移动等特点, 还在各国推广应用, 为了反演获得可靠的降水分布, X波段雷达数据需要进行衰减订正。本文提出一种基于气象目标和单位差分传播相移KDP特性的衰减订正方法。KDP由前向和后向两个分量组成, 为了计算KDP, 必须分离这两个分量以及消除其他随机噪声的影响。本文引进了一种最优化自回归数据滤波算法——卡尔曼滤波来分离这两个分量和消除其他随机噪声。这种方法效率高、实用性强, 同时可以用于其他雷达信号的处理。比较衰减订正结果, 发现使用卡尔曼滤波方法处理后的差分传播相移所进行的反射率衰减订正具有较高的稳定性。
X-band radar has been now more and more widely used in rainfall estimation, while its attenuation is more serious than S- and C-band radar. This constitutes a major source of error for X-band radar rainfall estimation, in particular for intense precipitation. Thus, the X-band radar data need to be corrected before used. On the basis of previous studies, this paper proposes a correction method which uses the characteristics of meteorology object and specific differential propagation phase shift KDP. The copo...
