面向web三维应用的气象雷达矢量剖面生成
|
摘要
气象雷达矢量剖面主要负责监测与研究强对流天气的面向web三维应用的三维结构特征,传统剖面生成无法能够保证空间连续性,不能最大程度保留特征。为此,提出一种新的面向web三维应用的气象雷达矢量剖面生成方法。确定雷达反射率因子垂直剖面基线。在此基础上,由剖线左端某点着手,分别求出剖线上各点的垂直距离与方位角。设定剖面上同剖线点相对应的空间垂直线点,计算其反射率强度;通过径向、方位上的最近邻与垂直线性内插结合的插值方法生成气象雷达矢量剖面图。依据相同高度的雷达数据,研究气象雷达回波信息在一定高度上的水平分布;将其和该高度相邻天气图结合在一起,获取面向三维应用的不同天气的三维结构。实验结果表明,所提方法生成的气象雷达矢量剖面空间位置合理,在水平与竖直方向均有很好的空间连续性,分辨率高,分析值和观测值更加接近。将所提方法应用于气象预测中,能够有效完成预测,应用性强。
The meteorological radar vector section is mainly responsible for monitoring and studying the three-dimensional structure features of the web 3D application for strong convective weather. The traditional section generation can not guarantee the spatial continuity and can not retain the features in the maximum degree. Therefore,a new generation method of weather radar vector profile for web 3D application is proposed. The vertical profile baseline of radar reflectivity factor is determined. On this basis,the vertical distance and azimuth angle of each point on the section line are obtained by starting from a certain point on the left side of the section line. The spatial vertical line points corresponding to the profile point on the profile are set,and the reflectance intensity is calculated. The vector profile of the weather radar is generated by the interpolation method combined with the nearest neighbor and vertical linear interpolation in the radial and azimuth. According to the radar data of the same height,the horizontal distribution of the echo information of the weather radar at a certain height is studied,and it is combined with the high adjacent weather map to obtain the three-dimensional structure of different weather for three dimensional applications. The experimental results show that the space position of the vector profile generated by the proposed method is reasonable,and has a good spatial continuity in the horizontal and vertical direction,and the resolution is high,and the analysis value and the observation value are closer. The application of the proposed method and meteorological prediction can effectively predict and apply strongly.
The meteorological radar vector section is mainly responsible for monitoring and studying the three-dimensional structure features of the web 3D application for strong convective weather. The traditional section generation can not guarantee the spatial continuity and can not retain the features in the maximum degree. Therefore,a new generation method of weather radar vector profile for web 3D application is proposed. The vertical profile baseline of radar reflectivity factor is determined. On this basis,the vertical distance and azimuth angle of each point on the section line are obtained by starting from a certain point on the left side of the section line. The spatial vertical line points corresponding to the profile point on the profile are set,and the reflectance intensity is calculated. The vector profile of the weather radar is generated by the interpolation method combined with the nearest neighbor and vertical linear interpolation in the radial and azimuth. According to the radar data of the same height,the horizontal distribution of the echo information of the weather radar at a certain height is studied,and it is combined with the high adjacent weather map to obtain the three-dimensional structure of different weather for three dimensional applications. The experimental results show that the space position of the vector profile generated by the proposed method is reasonable,and has a good spatial continuity in the horizontal and vertical direction,and the resolution is high,and the analysis value and the observation value are closer. The application of the proposed method and meteorological prediction can effectively predict and apply strongly.
引文
1王萍,牛智勇.基于多普勒天气雷达数据的中层径向辐合自动识别及其与强对流天气的相关性研究[J].物理学报,2014,63(1):424-436Wang Ping,Niu Zhiyong. Automatic recognition of mid-altitude radial convergence and study on the relationship between the convergence and strong convective weather based on Doppler weather radar data[J]. Acta Physica Sinica,2014,63(1):424-436
2 陈爱军,冯喆,胡胜.广东一次超级单体龙卷的多普勒天气雷达特征分析[J].科学技术与工程,2015,15(23):1-8Chen Aijun,Feng Zhe,Hu Sheng. Analysis of doppler radar features of a supercell tornado in Guangdong Province[J]. Science Technology and Engineering,2015,15(23):1-8
3 郭相明,王红光,孙方,等.湍流影响下的近海面大气折射率剖面[J].微波学报,2014,30(3):54-58Guo Xiangming,Wang Hongguang,Sun Fang,et al. Marine atmospheric surface layer radio refractivity profile considering turbulence[J]. Journal of Microwaves,2014,30(3):54-58
4 王喆,王振会,曹晓钟.毫米波雷达与无线电探空对云垂直结构探测的一致性分析[J].气象学报,2016,74(5):815-826Wang Zhe,Wang Zhenhui,Cao Xiaozhong. Consistency analysis for cloud vertical structure derived from millimeter cloud radar and radiosonde profiles[J]. Acta Meteorologica Sinica,2016,74(5):815-826
5 Chu Z,Yin Y,Gu S. Characteristics of velocity ambiguity for CINRAD-SA Doppler weather radars[J]. Asia-Pacific Journal of Atmospheric Sciences,2014,50(2):221-227
6 张丽丽,刘四新,吴俊军,等.探地雷达品质因子Q值估计方法[J].数据采集与处理,2014,29(4):615-619Zhang Lili,Liu Sixin,Wu Junjun,et al. Quality factor Q estimation of GPR signal[J]. Journal of Data Acquisition&Processing,2014,29(4):615-619
7 刘昉,李学华,丁明星.天气雷达回波数据质量分析及控制系统设计研究[J].电子设计工程,2017,25(7):1-5Liu Fang,Li Xuehua,Ding Mingxing. Quality analysis and control system research for echo data of weather radar[J]. Electronic Design Engineering,2017,25(7):1-5
8 杨天春,李好,张辉.探地雷达数值模拟中广义完全匹配层吸收边界条件的模拟分析[J].计算物理,2014,31(2):200-206Yang Tianchun,Li Hao,Zhang Hui. Forward modeling of GPML absorbing boundary conditions in GPR simulation[J]. Chinese Journal of Computational Physics,2014,31(2):200-206
9 Denham M,Lamperti E,Areta J. Weather radar data processing on graphic cards[J]. Journal of Supercomputing,2018,74(2):868-885
10 张晓冬,庞古乾,林镇国.佛山两次龙卷过程的物理量和雷达资料对比分析[J].科技通报,2017,33(10):46-52Zhang Xiaodong,Pang Guqian,Lin Zhenguo. Contrastive analysis of indices and doppler radar data for two tornado cases in Foshan[J]. Bulletin of Science and Technology,2017,33(10):46-52
11 严军超,胡明宝.相控阵天气雷达气象雷达方程修正研究[J].现代雷达,2015,37(5):1-5Yan Junchao,Hu Mingbao. A study on weather radar equation correction for phased array weather radar[J]. Modern Radar,2015,37(5):1-5
12 Chu Z,Yin Y,Gu S. Characteristics of velocity ambiguity for CINRAD-SA doppler weather radars[J]. Asia-Pacific Journal of Atmospheric Sciences,2014,50(2):221-227
13 张杨,周黎明,肖国强.基于GprMax的隧道超前预报雷达正演模拟及应用[J].人民长江,2017,48(7):50-55Zhang Yang,Zhou Liming,Xiao Guoqiang. GPR forward simulation for advance tunnel forecast based on GprMax and its application[J].Yangtze River,2017,48(7):50-55
14 张新宇,石博文,石爱国.船载雷达测波海浪谱预报方法研究[J].计算机仿真,2017,34(4):31-35Zhang Xinyu,Shi Bowen,Shi Aiguo. Research on forecasting of wave spectrum based on X-band radar[J]. Computer Simulation,2017,34(4):31-35
15 张晓愚.基于CPCI总线的雷达数据采集与控制系统显控软件设计[J].计算机测量与控制,2015,23(5):1802-1805Zhang Xiaoyu. Design of display and control software of radar data acquisition and control system based on CPCI bus[J]. Computer Measurement&Control,2015,23(5):1802-1805
16 魏奎烨,宋新江.水泥土截渗墙质量缺陷探地雷达正演响应特征[J].人民黄河,2015,37(1):50-53Wei Kuiye,Song Xinjiang. Study on GPR forward response characteristics of cement-soil cutoff wall’s quality defects[J]. Yellow River,2015,37(1):50-53
17 Yeary M,Cheong B L,Kurdzo J M,et al. A brief overview of weather radar technologies and instrumentation[J]. IEEE Instrumentation&Measurement Magazine,2014,17(5):10-15
18 唐顺仙,吕达仁,何建新,等.天气雷达技术研究进展及其在我国天气探测中的应用[J].遥感技术与应用,2017,32(1):1-13Tang Shunxian,LüDaren,He Jianxin,et al. Research of weather radar technology and application on Chinese weather observation[J]. Remote Sensing Technology and Application,2017,32(1):1-13
19 Fassnacht S R,Soulis E D,Kouwen N. Algorithm application to improve weather radar snowfall estimates for winter hydrologic modelling[J]. Hydrological Processes,2015,13(18):3017-3039
2 陈爱军,冯喆,胡胜.广东一次超级单体龙卷的多普勒天气雷达特征分析[J].科学技术与工程,2015,15(23):1-8Chen Aijun,Feng Zhe,Hu Sheng. Analysis of doppler radar features of a supercell tornado in Guangdong Province[J]. Science Technology and Engineering,2015,15(23):1-8
3 郭相明,王红光,孙方,等.湍流影响下的近海面大气折射率剖面[J].微波学报,2014,30(3):54-58Guo Xiangming,Wang Hongguang,Sun Fang,et al. Marine atmospheric surface layer radio refractivity profile considering turbulence[J]. Journal of Microwaves,2014,30(3):54-58
4 王喆,王振会,曹晓钟.毫米波雷达与无线电探空对云垂直结构探测的一致性分析[J].气象学报,2016,74(5):815-826Wang Zhe,Wang Zhenhui,Cao Xiaozhong. Consistency analysis for cloud vertical structure derived from millimeter cloud radar and radiosonde profiles[J]. Acta Meteorologica Sinica,2016,74(5):815-826
5 Chu Z,Yin Y,Gu S. Characteristics of velocity ambiguity for CINRAD-SA Doppler weather radars[J]. Asia-Pacific Journal of Atmospheric Sciences,2014,50(2):221-227
6 张丽丽,刘四新,吴俊军,等.探地雷达品质因子Q值估计方法[J].数据采集与处理,2014,29(4):615-619Zhang Lili,Liu Sixin,Wu Junjun,et al. Quality factor Q estimation of GPR signal[J]. Journal of Data Acquisition&Processing,2014,29(4):615-619
7 刘昉,李学华,丁明星.天气雷达回波数据质量分析及控制系统设计研究[J].电子设计工程,2017,25(7):1-5Liu Fang,Li Xuehua,Ding Mingxing. Quality analysis and control system research for echo data of weather radar[J]. Electronic Design Engineering,2017,25(7):1-5
8 杨天春,李好,张辉.探地雷达数值模拟中广义完全匹配层吸收边界条件的模拟分析[J].计算物理,2014,31(2):200-206Yang Tianchun,Li Hao,Zhang Hui. Forward modeling of GPML absorbing boundary conditions in GPR simulation[J]. Chinese Journal of Computational Physics,2014,31(2):200-206
9 Denham M,Lamperti E,Areta J. Weather radar data processing on graphic cards[J]. Journal of Supercomputing,2018,74(2):868-885
10 张晓冬,庞古乾,林镇国.佛山两次龙卷过程的物理量和雷达资料对比分析[J].科技通报,2017,33(10):46-52Zhang Xiaodong,Pang Guqian,Lin Zhenguo. Contrastive analysis of indices and doppler radar data for two tornado cases in Foshan[J]. Bulletin of Science and Technology,2017,33(10):46-52
11 严军超,胡明宝.相控阵天气雷达气象雷达方程修正研究[J].现代雷达,2015,37(5):1-5Yan Junchao,Hu Mingbao. A study on weather radar equation correction for phased array weather radar[J]. Modern Radar,2015,37(5):1-5
12 Chu Z,Yin Y,Gu S. Characteristics of velocity ambiguity for CINRAD-SA doppler weather radars[J]. Asia-Pacific Journal of Atmospheric Sciences,2014,50(2):221-227
13 张杨,周黎明,肖国强.基于GprMax的隧道超前预报雷达正演模拟及应用[J].人民长江,2017,48(7):50-55Zhang Yang,Zhou Liming,Xiao Guoqiang. GPR forward simulation for advance tunnel forecast based on GprMax and its application[J].Yangtze River,2017,48(7):50-55
14 张新宇,石博文,石爱国.船载雷达测波海浪谱预报方法研究[J].计算机仿真,2017,34(4):31-35Zhang Xinyu,Shi Bowen,Shi Aiguo. Research on forecasting of wave spectrum based on X-band radar[J]. Computer Simulation,2017,34(4):31-35
15 张晓愚.基于CPCI总线的雷达数据采集与控制系统显控软件设计[J].计算机测量与控制,2015,23(5):1802-1805Zhang Xiaoyu. Design of display and control software of radar data acquisition and control system based on CPCI bus[J]. Computer Measurement&Control,2015,23(5):1802-1805
16 魏奎烨,宋新江.水泥土截渗墙质量缺陷探地雷达正演响应特征[J].人民黄河,2015,37(1):50-53Wei Kuiye,Song Xinjiang. Study on GPR forward response characteristics of cement-soil cutoff wall’s quality defects[J]. Yellow River,2015,37(1):50-53
17 Yeary M,Cheong B L,Kurdzo J M,et al. A brief overview of weather radar technologies and instrumentation[J]. IEEE Instrumentation&Measurement Magazine,2014,17(5):10-15
18 唐顺仙,吕达仁,何建新,等.天气雷达技术研究进展及其在我国天气探测中的应用[J].遥感技术与应用,2017,32(1):1-13Tang Shunxian,LüDaren,He Jianxin,et al. Research of weather radar technology and application on Chinese weather observation[J]. Remote Sensing Technology and Application,2017,32(1):1-13
19 Fassnacht S R,Soulis E D,Kouwen N. Algorithm application to improve weather radar snowfall estimates for winter hydrologic modelling[J]. Hydrological Processes,2015,13(18):3017-3039