| 基于双高斯拟合的风廓线雷达反演雨滴谱 |
| |
| 引用本文： | 何越,何平,林晓萌.基于双高斯拟合的风廓线雷达反演雨滴谱[J].应用气象学报,2014,25(5):570-580. |
| |
| 作者姓名： | 何越 何平 林晓萌 |
| |
| 作者单位： | 1.南京信息工程大学，南京 210044 |
| |
| 基金项目： | 公益性行业（气象）科研专项（GYHY201306076,GYHY200906039） |
| |
| 摘 要： | 在降水条件下，风廓线雷达返回信号是湍流信号和降水信号的叠加，其功率谱数据中通常会出现双峰结构。该文通过双高斯拟合方法区分大气湍流信号功率谱和降水信号功率谱，去除大气湍流对降水信号谱的影响，反演得到较为精确的雨滴谱分布。研究表明:在风廓线雷达估算雨滴谱的过程中，双高斯拟合可将两峰有效分离，利用处理后的降水谱反演得到的雨滴谱均呈指数分布。选取北京延庆地区2006年和2012年具有代表性的降水资料，对比反演得到的不同强度和不同类型降雨的雨滴谱资料显示，这种估算雨滴谱的方法可行且可靠，利用双高斯拟合将双峰分离，可以达到风廓线雷达数据质量控制的目的，对于风廓线雷达在更为复杂的天气条件下应用具有借鉴意义。
|
| 关 键 词： | 风廓线雷达 雨滴谱 双高斯拟合 |
| 收稿时间： | 2014-02-28 |
Raindrop Size Distribution Retrieval from Wind Profiler Radar Based on Double-Gaussian Fitting |
| |
| He Yue,He Ping and Lin Xiaomeng.Raindrop Size Distribution Retrieval from Wind Profiler Radar Based on Double-Gaussian Fitting[J].Quarterly Journal of Applied Meteorology,2014,25(5):570-580. |
| |
| Authors: | He Yue He Ping and Lin Xiaomeng |
| |
| Institution: | 1.Nanjing University of Information Science & Technology, Nanjing 2100442.Meteorological Observation Center, CMA, Beijing 100081 |
| |
| Abstract: | The raindrop size distribution is extremely important for understanding the physical process of cloud and fog formation, and the generation of natural rainfall. It is a major tool that can be used to assess the cloud conditions for weather modification and verify associated results, in addition to being an important scientific evidence for numerical modeling.The weather radar often uses the method of PPP (Pulse Pair Processing) to process the signal, so it cannot get the raindrop size data directly. However, wind profiler radar is invented to detect the turbulence of clear air and it can obtain the distribution of Doppler velocity of precipitation particles, hence data can be used to retrieve raindrop spectral of precipitation effectively. Under the condition of precipitation, the return information of wind profiler radar is superimposed by turbulent signal and precipitation signal, and the power spectrum would often appear an obvious bimodal structure. Some representative precipitation data of Yanqing, Beijing in 2006 and 2012 are analyzed, by the method of removing noise and calibration curve, the power spectrum of antenna array is retrieved and then a more accurate signal power spectrum is obtained. The method of double-Gaussian fitting is used to distinguish the power spectrum of atmospheric turbulence signal and the power spectrum of precipitation signal. The signal is used to estimate a better raindrop size distribution after removing effects of air turbulence. According to relations between precipitation particles and diameters, the raindrop spectrum can be obtained easily. Through analyses and comparisons of different intensity and types of retrieved raindrop size distribution data, it can be concluded that in the process of estimating the raindrop size distribution from wind profiler radar, the method of double-Gaussian fitting could separate two peaks effectively, and the precision is more accurate and the structure emerges an exponential form basically. The result shows that using the double-Gaussian fitting to separate the bimodal structure of power spectral data is feasible and reliable, and it can achieve better quality control of wind profile radar data. Also, the method provides reference for applying wind profiler radars under more complex weather conditions. |
| |
| Keywords: | wind profile radar raindrop size double Gaussian fitting |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《应用气象学报》浏览原始摘要信息 |
| 点击此处可从《应用气象学报》下载免费的PDF全文 |
|
