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中小尺度强对流天气雷达径向风精细化定量特征与预警信息研究
引用本文:王坚红,张俞,王群,邢彩盈,苗春生,王兴.中小尺度强对流天气雷达径向风精细化定量特征与预警信息研究[J].气象科学,2020,40(4):485-496.
作者姓名:王坚红  张俞  王群  邢彩盈  苗春生  王兴
作者单位:南京信息工程大学 气象灾害预报预警与评估协同创新中心, 南京 210044;南京信息工程大学 海洋科学学院, 南京 210044;南京信息工程大学 大气物理学院, 南京 210044;盐城市气象局, 江苏 盐城 224005;海南省气候中心, 海口 570203;南京信大气象科学技术研究院, 南京 210044
基金项目:国家自然科学基金面上项目(41276033);国家自然科学基金青年基金资助项目(41805033)
摘    要:采用天气雷达径向风场基数据,提取其所含数值特征定量信息,并构建几种强对流指标。采用对区域流场特征表达能力良好的流函数与势函数计算,并运用合适的边界条件及计算处理方案,由泊松方程迭代求出满足区域无辐散条件的特解,进一步通过逆运算重建径向风场及运用交叉相关统计方法,检验重建效果,显示由所用边界处理方案解出的区域流函数与势函数是收敛的,能够清晰表达径向风场特征。并运用径向风数值信息以及它们与局地强对流的密切关系,构建区域强对流时空预警指标方程,依托预警指标,提供径向风场分区精细化预警区位和时间演变状态。根据局地暴雨的径向风特征,运用矩阵转换技术开发了径向风辐合线客观自动识别方法,可提供径向风辐合线的具体地理位置,尺度大小,走向分布,覆盖范围以及动态追踪等定量信息。进一步地将径向风辐合线与径向风定量信息背景场叠加,获得直观的精细化局地强对流中小尺度系统时空预报预警方法。

关 键 词:局地强对流  雷达径向风  定量信息提取  时空预警指标
收稿时间:2018/5/15 0:00:00

Study on weather radar radial wind quantitative features and warning information of medium and small scale strong convection
WANG Jianhong,ZHANG Yu,WANG Qun,XING Caiying,MIAO Chunsheng,WANG Xing.Study on weather radar radial wind quantitative features and warning information of medium and small scale strong convection[J].Scientia Meteorologica Sinica,2020,40(4):485-496.
Authors:WANG Jianhong  ZHANG Yu  WANG Qun  XING Caiying  MIAO Chunsheng  WANG Xing
Institution:Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China;School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China;School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China;Yancheng Meteorological Bureau, Jiangsu Yancheng 224005, China;Hainan Climate Center, Haikou 570203, China;Nanjing Xinda Institute of Meteorological Science and Technology, Nanjing 210044, China
Abstract:By using the basic data of the Doppler weather radar radial wind field, the quantitative information extraction of the basic data was carried out, and several strong convective indicators were constructed based on the information. The flow function and potential function can provide fine expressions of the regional radial wind field characteristics that are calculated through the iteration process of the Poisson equation. The suitable boundary condition and computing processing scheme were chosen, then a special solution can be determined that is convergence and satisfies the regional non-dispersive condition. Such a special solution of flow function and the potential function can be tested by inverse calculation to reconstruct the radial wind field and be compared by cross correlation analysis between reconstruction and original radial wind fields, and the results show that the solution can well provide the regional features of the radial wind field. Furthermore, according to the close relationship between radial wind numerical information and local strong convection, the spatial-temporal warning index equations of regional strong convection are constructed. Based on the warning indicators, the fine-zoning warning and time evolution situation of radial wind fields can be provided. Considering the radial wind characteristics of local rainstorms, a method of objective automatic recognition of radial wind convergence lines was developed using matrix conversion technology. It can provide quantitative information such as the geographical location, scale size, orientation distribution, coverage area, and dynamic tracking of radial wind convergence lines. Further, the radial wind convergence line is superimposed with the radial wind quantitative information background field, so that temporal-spatial forecasting and warning method can be obtained that is an intuitive and fine-detailed local strong convection systems warning.
Keywords:local strong convection  radar radial wind  the quantitative information extraction  the temporal and spatial warning indexes
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