| 反射率因子和径向速度共同约束反演多普勒雷达风场 |
| |
| 引用本文： | 韩丰,魏鸣,李南,常亚楠.反射率因子和径向速度共同约束反演多普勒雷达风场[J].遥感学报,2013,17(3):578-589. |
| |
| 作者姓名： | 韩丰 魏鸣 李南 常亚楠 |
| |
| 作者单位： | 气象灾害省部共建教育部重点实验室, 南京信息工程大学, 江苏 南京 210044;气象灾害省部共建教育部重点实验室, 南京信息工程大学, 江苏 南京 210044;气象灾害省部共建教育部重点实验室, 南京信息工程大学, 江苏 南京 210044;气象灾害省部共建教育部重点实验室, 南京信息工程大学, 江苏 南京 210044 |
| |
| 基金项目： | 高等学校博士学科点专项科研基金(编号:20093228110002);江苏省高校自然科学研究项目(编号:10KJA170030);灾害天气国家重点实验室开放课题(编号:2010LASW-A01);北极阁基金(编号:BJG201001,BJG201102)Specialized Research Fund for the Doctoral Program of Higher Education of China (No.20093228110002); Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No.10KJA170030); State Key Laboratory of Disastrous Weather (No.2010LASW-A01); supported by Bei Ji Ge (No.BJG201001,BJG201102) |
| |
| 摘 要： | 多普勒雷达可以提供降水回波区的风场信息。为了充分运用雷达资料分析中小尺度天气过程,本文假设反射率因子在短时间内的运动满足拉格朗日守恒,提出了采用连续两次的反射率因子回波和径向速度数据共同约束的方法来反演风场,在反演过程中避免了对径向速度的分布进行假设。针对连续两个时次之间反射率回波运动中产生的不同程度的误差做了模拟风场试验,结果表明,当回波运动随机误差不超过40%时,反演结果较为可靠。另外,本文还利用此风场反演方法进行两次中尺度天气过程的实例分析。结果表明,该方法反演的风场与实际风场结构相符,具有一定的应用价值。
|
| 关 键 词： | 多普勒雷达 径向速度 反射率因子 风场反演 实例分析 |
| 收稿时间： | 5/4/2012 12:00:00 AM |
| 修稿时间： | 2012/8/15 0:00:00 |
Doppler radar wind field retrieval using reflectivity and radial velocity data |
| |
| HAN Feng,WEI Ming,LI Nan and CHANG Ya''nan.Doppler radar wind field retrieval using reflectivity and radial velocity data[J].Journal of Remote Sensing,2013,17(3):578-589. |
| |
| Authors: | HAN Feng WEI Ming LI Nan and CHANG Ya'nan |
| |
| Institution: | Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China;Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China |
| |
| Abstract: | Doppler radar is capable of providing wind field information of precipitation echoes, and this makes it a powerful tool for the study of mesoscale weather processes. Assuming the change of radar reflectivity in a short time comply with the Lagrangian conservation, this paper proposes a new wind field retrieval method by which both radar reflectivity echoes and radial velocity data are used in the retrieval. Avoiding to assume the distribution of radial velocity in the retrieval, this method is theoretically applicable to all kinds of wind fields. This method is applied in two wind field simulation experiments, which use two temporally consecutive reflectivity echoes motions, and errors are generated. Error analysis shows that the retrieval results are more reliable when random error of the echo motion is less than 40%. Additionally, this method is used to analyze two mesoscale weather processes. The agreement between the wind retrieval results and the actual wind field structure proves the feasibility of this method in practice. |
| |
| Keywords: | Doppler radar radial velocity reflectivity factor wind field retrieval real weather processes retrieval analysis |
|
| 点击此处可从《遥感学报》浏览原始摘要信息 |
| 点击此处可从《遥感学报》下载免费的PDF全文 |
|
