Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar

被引:5
作者
Peng, Yunli [1 ]
Li, Jianbing [1 ]
Yin, Jiapeng [1 ]
Chan, Pak Wai [2 ]
Kong, Wai [2 ]
Wang, Xuesong [1 ]
机构
[1] Natl Univ Def Technol, Coll Elect Sci & Engn, State Key Lab Complex Electromagnet Environm Effe, Changsha 410073, Peoples R China
[2] Hong Kong Observ, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Doppler effect; Radar cross-sections; Wind speed; Doppler radar; Gamma distribution; Radar remote sensing; Mathematical model; Characteristic size of raindrops; depolarization ratio; differential reflectivity; drop size distribution; equivalent radar cross section (RCS); support vector regression (SVR); DIFFERENTIAL REFLECTIVITY; DEPOLARIZATION RATIO; DISTRIBUTIONS; PARAMETERS; SHAPE; PRECIPITATION; PREDICTION; CLOUD; MODEL; LIDAR;
D O I
10.1109/JSTARS.2021.3113651
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Wind velocity is of great importance for weather monitoring, aviation hazard alerting, wind energy exploring, etc. Doppler radar is widely used to measure wind under rainy condition by sensing the raindrops entrained by the background wind. However, the Doppler velocity, which is a reflection of the raindrops' velocity in radial direction, is not coincident with the background wind because of the strong inertia of raindrops. Efforts should be made to distinguish the difference between the raindrops' velocity and the background wind velocity. In this article, we try to establish a relationship between the background wind velocity and the raindrops' velocity by introducing a definition of the raindrops' characteristic size, which is related to the velocity characterized by the strongest Doppler spectral component. It is found that the fusion of differential reflectivity and the depolarization ratio can serve as a good proxy for the estimation of the characteristic size. Simulation results for S/C/X-band radars and radar measurements verify the good performance of the proposed retrieval model for the characteristic size, which lays a solid foundation for the retrieval of the background wind velocity.
引用
收藏
页码:9974 / 9986
页数:13
相关论文
共 56 条
  • [1] [Anonymous], 2004, Polarimetric Doppler Weather Radar: Principles and Applications
  • [2] DOPPLER RADAR CHARACTERISTICS OF PRECIPITATION AT VERTICAL INCIDENCE
    ATLAS, D
    SRIVASTAVA, RC
    SEKHON, RS
    [J]. REVIEWS OF GEOPHYSICS, 1973, 11 (01) : 1 - 35
  • [3] Measurements and inferences of raindrop canting angles
    Bringi, V. N.
    Thurai, M.
    Brunkow, D. A.
    [J]. ELECTRONICS LETTERS, 2008, 44 (24) : 1425 - 1426
  • [4] Caracciolo C., 2008, Adv Geosci, V16, P11, DOI [10.5194/adgeo-16-11-2008, DOI 10.5194/ADGEO-16-11-2008]
  • [5] Chen H., 2018, Remote Sensing of Aerosols, Clouds, and Precipitation, P315, DOI DOI 10.1016/B978-0-12-810437-8.00015-3
  • [6] Chen W., 2013, Recent advances in Radial basis Function Collocation Methods
  • [7] Multimodal Deep Learning for Heterogeneous GNSS-R Data Fusion and Ocean Wind Speed Retrieval
    Chu, Xiaohan
    He, Jie
    Song, Hongqing
    Qi, Yue
    Sun, Yueqiang
    Bai, Weihua
    Li, Wei
    Wu, Qiwu
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 5971 - 5981
  • [8] CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1023/A:1022627411411
  • [9] Das S., 2010, Progress In Electromagnetics Research B, V25, P211, DOI 10.2528/PIERB10072707
  • [10] Measurements of Wind and Turbulence Profiles With Scanning Doppler Lidar for Wind Energy Applications
    Frehlich, Rod
    Kelley, Neil
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2008, 1 (01) : 42 - 47