利用一种自动识别算法移除天气雷达反射率因子中的亮带  

An Automatic Identification Algorithm for the Removal of Bright Band from Reflectivity of CINRAD/SA

作　　者：陈明轩[1] 高峰[1] 

机构地区：[1]中国气象局北京城市气象研究所,北京100089

出　　处：《应用气象学报》2006年第2期207-214,共8页Journal of Applied Meteorological Science

基　　金："十五"国家科技攻关计划课题"奥运气象保障技术研究"(2002BA904B05);2002年北京市重大科技项目"奥运会气象保障科学技术试验与研究"(H020620190091);"十五"国家科技攻关计划课题奥运科技专项"北京奥运会国际天气预报示范计划关键技术研究"(2003BA904B08)共同资助

摘　　要：该文介绍了一种自动识别和移除雷达反射率因子资料中亮带的算法,并对该算法进行了初步测试。该算法利用的是插值到直角坐标系中的雷达反射率因子资料,其配置和运行也相对简单,但却对移除亮带比较有效。首先,设定一套雷达反射率因子垂直廓线的理想模板,这些理想的模板能够在最大程度上反映不同亮带存在区域的雷达实际反射率因子的垂直廓线特征。然后,在水平方向每个点上,进行理想模板和实际反射率因子垂直廓线在垂直和水平两个方向上的拟合和差异计算,来自动识别雷达反射率因子中存在的连续亮带区域。最后,利用亮带之上和亮带之下的反射率因子值对亮带中的反射率因子值进行插值纠正,就可以移除亮带。利用位于天津塘沽的我国新一代天气雷达(CINRAD/SA)的反射率因子资料,通过个例分析和准业务运行试验,均表明这个简单算法可以识别和移除绝大多数影响雷达定量降水估计的反射率因子亮带区域,但是实际雷暴区域的反射率因子特征受到该算法的影响比较小。计算分析还表明,在京津地区的初夏,上述亮带区域一般容易出现在2.5 km左右的高度处。An automatic identification algorithm for the removal of bright band from radar reflectivity data is introduced and tested by case analysis and pre-operational run. The algorithm has good results of removal of bright band based on the radar reflectivity data which have been transformed into a regular 3-dimensional Cartesian grid while configuration and running setup are relative simple. Firstly, the algorithm performs the recognition of vertical bright band profile. The algorithm considers each point independently, and attempts to find the evidence of a bright band by using a pattern recognition approach. Based on the typical reflectivity of the vertical profile attributes in the bright band deducted from statistics, a set of ideal templates of radar reflectivity vertical profiles is established, which can resemble the actual radar reflectivity characteristics in different bright band areas at the utmost. For each horizontal grid the algorithm attempts to couple the templates to the measured vertical profile of radar reflectivity. The couple function is obtained by computing the slope and the correlation of the least squares regression between the template and the measured profile. Secondly, the algorithm finds continuous regions of bright band. Regions of bright band may be further recognized by the horizontal uniformity of the signature. The algorithm attempts to use the goodness-of-fit and height-of-best-fit field computed above to gain further clues of a bright band. A grid kernel-based approach is used, in which a kernel is composed of 5 ~ 5 grids in the field. For the grids in the kernel, the algorithm counts the number of difference between contiguous goodness-of-fit values exceeding a given threshold or the difference in the height-of-best-fit values for contiguous points exceeding a given threshold. A high interested value is assigned to points with low numbers, since this indicates uniformity. So bright band areas are identified as those fields with high interested values. Finally, the algorithm removes

关 键 词：雷达反射率因子 亮带 识别 移除 

分 类 号：P412.25[天文地球—大气科学及气象学]